Maintenance is a demanding and taxing process. Not knowing when to schedule a maintenance run or send the maintenance team is even more menacing. With the advent of the fourth Industrial revolution, connected devices makes information about machines more available than before.
Your machines have a lot to tell you about when they need to be maintained, if you’re listening that is. Thus, the best way to optimize your machine health is by monitoring it.
A huge advantage of monitoring your systems is knowing when to accurately plan a maintenance run for your machines.
The internet in the last decade has proved to be a pivotal enabler of functionalities which would have been deemed impossible by its previous generations.
Industry 4.0 partly deals with interpreting machine data and figuring out patterns from raw data to convert into an algorithm.
Once these machines become Artificially Intelligent, they can learn from these algorithms to find out when it is going to need maintenance or when the machine is going to have a breakdown and take appropriate actions of fixing its machine cycles on its own.
We have not reached that level of technology or trust, where humans program machines and allow them to take decisions on their own. But, we have certainly dawned upon the concept of predicting the period when maintenance could be needed for a particular machine.
By installing automation controllers on machines, we receive data on the functioning of that instrument. Using this data, we can create a pattern of when the appliance is working in pristine condition and when it is not. Using this pattern, an algorithm is created to accurately detect when the machine could need its next maintenance run. Thus we reduce the requirement of a preventive maintenance run by accurately predicting when the machine needs maintenance the most.
Predictive Maintenance will also deliver on reporting the condition of the machine at all times, thus keeping track of its health.
Why is Predictive Maintenance so crucial?
Well for humans, not knowing what the future lies for you is considered to be a good thing. Significantly, it is quite the opposite for machines. For instance:
Early maintenance / Preventive Maintenance could risk loss of revenue for the machine needs to stop functioning for the maintenance run to be carried out, only to find out that the machine did not need maintenance in the first place.
Late maintenance would cause greater loss of revenue as not only the appliance has to be stopped, but some machine parts could also need replacement due to excessive use, corrosion or wear and tear.
In some industries & factories, condition reporting is a manual task. Staff members have a habit of submitting hand written reports of machine health after each shift. This irregular information format makes it difficult to assess issues and condition trends.
Accurately planning a maintenance run will lower machine downtime.Thus, assets will be able to deliver with greater efficiency at a reduced maintenance cost.
IOT is nothing but transferring machine data from one platform to another(normally a cloud platform) using the internet. Predictive maintenance is a huge application of what the Internet of Things can do with machine data.
Embedos being an Industrial IOT company is a big believer in predictive maintenance. We design our devices generally based on customer requirements with a default option of reporting when machine health deteriorates.
Machine cycle time, duration, output, idle times etc is what is reported about to predict when maintenance is needed the most.
With IOT, condition reporting can be automated with access to loads of data, thus allowing system generated reports to help in more accurate decision making. By collecting and displaying data on a consolidated dashboard, maintenance runs can be evaluated and scheduled before the condition becomes severe.
Maintenance is a calculated and a tactical process for manufacturers and product developers alike. Almost 30 percent of planned maintenance schedules are ineffective with regard to its timing. Preventive maintenance is too costly and is deemed futile by consuming essential resources needlessly.
As Machine to Machine(M2M) technology progresses, human intervention for asset upkeep will not be required, thus defining the true power of predictive maintenance.
Looking for End to End Industrial Automation & IoT Solutions?
Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.
Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.
Hybrid clouds offer the best of both worlds.
It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.
Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.
Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.
This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.
These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.
By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.
Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:
1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.
Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.
One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.
This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.
#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.
The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.
One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.
Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.
Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.
Developing lowcode applications doesn’t require users to know coding, anyone can create an application.
Domain experts and #IT professionals can work together to create solutions that bring more value to the business.
Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.
Addressing fraud at charging points can be a complex task.
For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.
As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.
Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.
Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.
To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.
chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration.
Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.
Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.
As technology evolves, the demand for advanced skills will only increase — unless we find ways to catch up.
It has been predicted thatIoTwill be a part of the most fundamental functionalities of each business area by the year 2020. Set up by different industry specialists, utilization of IoT will lead to improved business proficiency, productivity and quality work hours. There is no doubt that IoT will revolutionize the way we do our daily things, but we might have a terrible skills gap to match the demand of such a technology.
The concept of IoT is very clear which describes a pure interconnected world. It’s a world where every device of every shape and size are developed with smart capabilities so that they can connect, interact and exchange the data. It’s a world with technology that will make life easier, simpler and better.
IoT is a vast mixture of hardware, software, firmware and networking. To implement this, a core IoT team will require an electrical engineer, embedded systems designer, an embedded software developer, a back-end developer, a front-end developer and a product manager. For IoT startups like Embedos, these 7 positions are filled in by 3 people for want of people having relevant industry skills.
Skills needed for IoT projects to succeed:
With IoT, we need to bridge the gap between the data coming from your IoT infrastructure into your ERP application. You can have a better opportunity to increase your sales, build out new applications, new services and discover new lines of revenue for your business.
1) Security and data analysis- Millions of devices are connected to the IoT. So the amount of data needs to be encrypted, analyses and protected. Skilled engineers, architects, and analysts will be needed to gather and process the information.
2) Networking-As the IoT is all about connectivity, network engineers should focus on the skills like common protocols and keep track of a range of devices.
3) Business intelligence-All of the data collected through the IoT should be turned into actionable intelligence for businesses. They should focus on skills like sensor data analysis, data center management, programming on Hadoop.
4) Cyber-Security-The data attacks in IoT have become a serious problem. Therefore, there is a growing demand for professionals who know about cryptography, managing keys and sealing the networks. IoT security engineers will form an integral part of this field.
Challenges faced by IoT-
The IoT digitizes physical assets, sensors, devices, machines, gateways, and the network. It connects people to things and things to things in real-time. A typical IoT network can grow rapidly resulting in an exponential increase in the variety, velocity and the overall volume of the data. This data opens opportunities for significant data creation and revenue generation but the real challenge for IoT environments is how to analyze the large volume of information from all sources and take action from all in real-time.
What does this mean?
The IT environment has made the need for new analytics, approaches, and technology more urgent. Achieving desired business objectives requires the ability to act in real-time, to take advantage of opportunities and to address the problem quickly. In the pre-internet of things era, an issue in a typical supply of chain scenario could be addressed in a 2 to 3 days cycle for satisfactory results but in IoT time to action is in minutes, seconds, or microseconds. This could limit the utilization of its true potential benefits. The configuration process tends to get lengthy and complex while managing a large number of IoT devices. To simplify the process the systems should be built with a thoughtful design, standardized configuration tools, methods, and interface.
Bridging the IoT skills gap!
How can organizations plan to bridge the IoT related skills gaps?
It’s essential to plan for the IoT related skills gap that is currently present. An Organisation’s IoT implementation will not be successful if its focus is only on the technology. If it does not include its workforce in transitioning their skills gap, they will not be able to take advantage of this technology or even invent using this technology.
A Company has to invest in its workspace and change the mindset of its workers, that they will have to continuously evolve their skill sets. Think about the pace of technology and think about how we can invent new ways of technology. We must continue to reinvent ourselves and continue to evolve our skills. It’s a different contract between the employer and employee now. It’s not “I am hiring you to do this job”. It’s more like “I am hiring you to the job and I want you to continue to learn and evolve with the requirements of this job”
Are advancements in technology causing the growing IoT skills gap?
Technology is ever-evolving since the start of the 21st century. We have seen huge advancements. In 2002 iRobot Corporation released the first version of its Roomba vacuum cleaning robot. In 2004, Facebook was founded. In 2007, Apple introduced a touch screen phone with the iPhone. In 2010, 3D TV started to become more widely available. In 2013, Elon Musk announced “Hyperloop”, a giant tube transport system. In 2017, Quantum computing showed signs of becoming a practical technology and in 2018, Google announced Cloud AutoML, a suite of pre-trained systems that could make AI simpler to use. These advancements are showing no signs of slowing down which is leaving businesses falling short of employees with relevant IT skills.
In 2016, 20% of organizations were experiencing visible disruptions due to the IT skills gap. It’s now 75%. Employers are desperately searching for qualified candidates. In an increasingly growing market, employers are willing to pay higher salaries for applicants with up to date knowledge and who can bring new skills to their business.
How Augmentation reality is solving the Industrial skills gap?
Manufacturing and the service value chain jobs are most affected but the skills gap is more than just a retirement problem. There aren’t systems in place to train new generations of skilled workers. There is increasing competition from other job types. Meanwhile, physical assets are becoming more complex. Companies need to slow down the skills, drain maximize current skills and refill the skills. The answer lies in industrial augmented reality. It gives users a way to overlay digital data on top of the physical assets and environment which is a game-changer when it comes to closing the skills gap. Industrial AR provides a more efficient way to train workers using interactive digital ways of physical assets so workers learn faster and retain more by overlaying instructions, equipment status or performance data, complex or frequently changing assets. Inexperienced workers can also virtually connect with experts.
Outsourcing IoT security
IoT represents a technological revolution. There will be 24 billion connected devices by 2020. By 2020, 95% of cloud service failures will be the customer’s fault. At present, there is no standard for device-level security. The primary challenge to secure IoT implementation is that every device becomes a point of potential incursion. Outsourcing your IoT security requires you to make a detailed risk assessment of your operations. You need to determine the type of provider you need, what they will be responsible for and what you will maintain internally.
Digitization & IoT-
The magic word is digitization. It presents huge challenges to companies but it also means great business opportunities because the trend at the moment is the IoT. Deutsche Telekom has developed a solution that allows us to remotely operate our rapid action roller shutter doors in cases of maintenance and service. It helps the person directly via telephone, by service without a technician. He provides the m2m cards for communications with the IoT. It provides a reliable, high-speed network and data security.
Below is a list of skills that are in high demand in the field of IoT. A full-fledged all-round IoT experience will need expertise in at least 5 of them.
PROGRAMMING SKILLS
For IoT devices to perform useful functions, their microcontrollers need to be programmed. The most popular programming languages in use today in IoT are:
C
C++
Java
Python
Likewise note that the Arduino prototyping stage gives a library of C/C++ capacities for engineer use, and is broadly utilized in the IoT space, so creating mastery in this would be a generally excellent thought.
HARDWARE ENGINEERING
The accomplishment of IoT gadgets relies as much on its equipment structure, as on its product. Some skills to master include:
AutoCAD drafting
Computer-aided design (CAD)
An understanding of electronics, mechanical and network communication.
Sensor technology
PCB Designing
Soldering & Quality Testing
Embedded software Development
Data Analytics
IoT isn’t just about items being associated with the Internet. Its genuine worth originates from the data that is extracted from these keen gadgets.
IoT organizations need information wizards to gather, store, and break down the information from their devices with the goal that they can utilize them for brilliant actionable intelligence.
Abilities in Hadoop, SAS, R and NoSQL, just as business intelligence and networking are what IoT enrollment specialists are searching for.
Front End Development
For IoT devices to end up prevalent they have to have viable, easy to understand and attractive interfaces. IoT products will come in a wide range of shapes and measures and the individuals who can help plan them need to have elevated amounts of client experience, without weakening its viability will be profoundly employable.
Mobile App Development:
A part of the front end UI is the ease of access to information. Mobile Phones being used by every one of us is be a source of visualization of the data that is sent by our smart devices. Mobile Phones will be able to show data interactively gathered by IoT devices, thereby increasing opportunities for Mobile App developers in the IoT domain.
Cloud Computing:
Cloud computing unlocks a new dimension in software development. The cloud allows programmers to create, host, and execute applications that can scale up much faster.
We have viewed the potential of ‘The Cloud’, and seen it explode. Essentially because it is less expensive and quicker than customary server farms. Today organizations and IT firms are utilizing cloud and cloud applications like never before.
Skills like database management and coding are fundamental for Cloud Computing.
NETWORKING
The way to IoT is the gadgets’ capacity to speak with different devices. IoT organizations will need individuals who have mastery in current systems administration models and innovations, remote associations who can enable machine to machine communication with ease.
Top barriers to IT transformation include:
1) Technology silo
2) Outdated infrastructure
3) New skills/Expertise needed.
IT organizations are getting older which means that people are getting closer to retirement. There’s not as much new talent coming into IT organizations and most people worry about this. Many organizations look to new technology to transform their companies. Yet 94% of HR leaders say that they have difficulties accessing the skills required for transformation initiatives. And 29% say that they are being held back by a lack of digital skills amongst their workspace. So by bringing 800 technical resources who live in this environment every day, by bringing the partnerships with leading technology and understanding those technologies, understanding those dependencies can close the skills gaps.
Embedosis a full-stack IoT device platform that includes a device cloud platform, connectivity hardware, and varied automation & Interface Solutions.
Looking for End to End Industrial Automation & IoT Solutions?
Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.
Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.
Hybrid clouds offer the best of both worlds.
It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.
Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.
Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.
This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.
These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.
By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.
Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:
1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.
Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.
One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.
This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.
#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.
The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.
One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.
Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.
Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.
Developing lowcode applications doesn’t require users to know coding, anyone can create an application.
Domain experts and #IT professionals can work together to create solutions that bring more value to the business.
Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.
Addressing fraud at charging points can be a complex task.
For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.
As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.
Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.
Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.
To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.
chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration.
Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.
Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.
Traffic signal management is one major issue. What causes traffic jams? If you are unlucky enough to commute in your city you could end up spending the equivalent of 3 weeks per year stuck in traffic. Drivers know that accidents, construction, vehicles and just the sheer number of the people and vehicles on the road ,all contributes to traffic.
The Actual Problem:
The real culprit however is speed or rather sudden, random fluctuations in speed. When drivers travel at a constant rate traffic flows freely but even a single driver hits the brakes the flow is interrupted causing a chain reaction among the vehicles. What can be done to avoid this? Traffic signals can be better synchronized. Driverless cars can be made that can travel at more constant speeds.
IoT Will Solve Traffic Problems:
The average speed in urban environment is dropping everywhere. The question is that what speed are you right now? Traffic gets worse everywhere every year. Urbanization is a huge trend. 50 years ago about 40% of the world’s population lived in an urban area. Now it’s getting close to 80%. So we are going to see more concentration of people in cities. And that’s one of the reasons the entire things are important because cities need to operate even more efficiently.
Self-driving carswill actually solve traffic problems completely. One of the reasons traffic is frustrating is because there’s a lot of things you can’t do when you are driving. If the car is driving you then you can do your office work, you can take a nap or you can watch TV. So the car increasingly becomes a living room on wheels. Those cars can go faster. If all the cars are self-driving it will go 150 miles an hour. Human being can’t process information faster, they can’t operate at those speeds but machines can. There will be a lot of things that will change to relieve traffic burden.
Traffic Control Using IoT:
Consider a number of metal loops which acts as a sensor and are connected or embedded on the road. These sensors will act as data points. If there is an accident on the road or a very bad traffic jam, these data points will sense them and generate reports. Now the operation center will analyze the data. According to that the decisions will be taken. All the vehicles routing towards that road will be informed that traffic jam is nearby. And the alternate paths will be reduced.
Connected vehicles have become very popular in the recent years. There is a lot of research that is going on for building vehicles for good reasons. Stand alone vehicles embedded with different sensors has been there since several years. These vehicles have different embedded sensors and embedded systems.
How Can We Make Cars Manufactured By Different Companies, Connected To Each Other A Possibility?
Connected vehicles provide drivers with 360 degree awareness of similarly equipped vehicles within a range of 300 meters. This secure system keeps personal information private does not track your vehicles. Drivers will receive warnings that informs them of potential hazards through a virtual display or through seat vibrations.
These warnings can help drivers respond quickly to avoid potential crashes.
For example: “The intersection movements assist” application warns drivers when it is unsafe to enter an intersection. The “Do not pass warning” application warns drivers when it is not safe to pass a slower moving vehicle.
Connected vehicle technology can help pedestrians too.
For example: “The mobile accessible pedestrian signal system” application sends an automated pedestrian call from the Smartphones of a pedestrian with disabilities to the traffic controller holding the walk signal until the pedestrian has cleared the crosswalk. The potential benefits of a connected transportation system will able to enhance safety and mobility of not only vehicles on the road, but pedestrians as well and at the same time address environmental impacts.
Traffic Congestion Could Be Eased By IoT.
Solution:
One way could be to use maps. Google maps indicate how much traffic is going to be present on the road for your journey. Traffic Signals could be interfaced with such maps, that could tell it how much traffic does each lane have, how many vehicles at a given signal, and could calculate on its own, on an average how much green time should each lane be given.
Another way could be devices deployed on the roads which can be capable of measuring the condition levels. This could be done in various ways. There could be sensors deployed on the roads to pick up congestion data. This data can be transmitted to a cloud system, which analyzes it and decides which roads are truly congested and how much time should a traffic signal on that path give to vehicles.
It could figure out the optimal signal times to be sent to each signal. So that highly congested road would not have a longer waiting time.
Benefits Of Implementation Real Time Traffic Management Using IoT:
Signal times can be optimized in real time over a network of roads.
As this data is fed to the cloud, external systems can perform data analytics on the stream to identify traffic trends and patterns.
Emergency situations can be addressed efficiently. This may include plotting routes for ambulances and fire brigades.
Looking for End to End Industrial Automation & IoT Solutions?
Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.
Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.
Hybrid clouds offer the best of both worlds.
It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.
Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.
Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.
This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.
These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.
By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.
Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:
1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.
Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.
One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.
This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.
#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.
The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.
One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.
Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.
Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.
Developing lowcode applications doesn’t require users to know coding, anyone can create an application.
Domain experts and #IT professionals can work together to create solutions that bring more value to the business.
Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.
Addressing fraud at charging points can be a complex task.
For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.
As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.
Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.
Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.
To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.
chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration.
Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.
Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.
Soon theInternet of Thingsis going to give physical devices like doors, chairs, coffee makers, refrigerators, their own Internet Connection. Edge Computing will allow processing of data gathered from these devices locally and with the help of Artificial Intelligence and Machine Learning, will be able to make sense of this data. These things will become important decision makers.
So what is the Edge Device?
Edge in literal sense means the end or a boundary of a particular area. In the IoT world, Edge stands for the same thing. An Edge device stands at the boundary between a Field Device and a Cloud Storage. It is a logical controller for data to be acquired, processed and then transmitted from the field to the cloud.
What is the Difference between Edge Computing & Cloud Computing?
Cloud Computing is a Computing on demand service. When some one says their application is a cloud based one, it means that it is hosted on a distant Computer server, which is owned by IBM, Google or Amazon. Instead of having everything locally on a computer hard drive, everything is available on the Cloud. A cloud interface offers flexibility of not having to own expensive computing hardware to host an application.
Since its revenue structure is a “Pay as you use” one, running an application on a cloud storage is very profitable as it only charges you for the space and the computing power that you use. The most well known examples of Cloud usage is Google Drive and Apple ICloud.
The idea of Edge Computing is to push these cloud services closer to the network, to the devices themselves. Thus Edge Computing enables the captured data to be processed at the same location. With the help of Algorithms and AI, these machines can make decisions locally without the need of the internet or the cloud. It can be seen as a decentralized cloud.
But
What is the point of Edge Computing if Cloud Computing is so sought after?
Wasn’t Cloud Computing brought forward to give up hardware and only make use of the software when needed?
The answer to this is that in today’s fast moving world, avoiding latency is key. If data is processed at the time of acquisition itself, only already processed data is transferred to the cloud for a data visualization. This increases the speed of data that is transferred as processed data occupies less storage than raw acquired data.
As the Internet of Things approaches us, the size of the data that is collected is going to grow exponentially. Sending this data to the cloud for further computation is going to increase the bandwidth required and burden the network.
The benefit that Edge brings is to compute and transfer this raw data at the source itself, so as to reduce the size of the data to be transmitted and increase the speed of data transfer. Since data computation happens closer to the source of data generation, real time monitoring and analysis can take place bringing the machine closer to the operator.
Looking at the vast amounts of data that machines generate, sending all this data for computation to the cloud, is not only going to increase the processing power of the cloud, but also increase its cost of usage. With cost of usage going up and Computational speed of the Cloud decreasing, it is certain that Edge Computing only benefits the IoT to Cloud Architecture.
To give an example of Edge devices in the consumer domain, if our refrigerator were enabled with an internet connection and some data processing power, we could have our fridge know the type of food that it contains. It could also know when milk is going to run out based on consumption patterns and with its enabled internet connection and an inbuilt AI system, order a litre of milk by itself using this internet.
Speaking of Edge devices in the manufacturing and industrial sector, shop floor machines and PLC’s could be directly interfaced with edge devices. These Edge devices are critical for industries that use vast amounts of data and require immediate reaction times. The IoT to Cloud architecture is very inefficient and slow. It allows for latency in the transfer of data to the cloud due to the sheer size of data that is collected at the source.
Like Edge Computing, there is a term called “Fog Computing”.
Coined by Cisco, Fog Computing is similar to Edge Computing. Fog Computing believes in the processing, storage and networking of data between the Data Source and the Cloud. Thus Edge computing essentially is a sub division of fog computing.
For the industry, the main purpose of an Edge Gateway is to provide connectivity options to data gatherers like Sensors & Actuators. There are many industrial protocols followed like Bluetooth, Modbus, Bacnet, Profinet, OPC UA, etc.
To fulfill the need of a decision maker, the Edge gateway needs to be a programmable one, thus the term Programmable Automation Gateway Controller. In addition to running local processing and diagnostic applications, monitoring systems and custom softwares, the Edge device should store data by itself.
This allows it to be completely autonomous from the network. By running local applications and storing the data at the same time, the Edge device can operate independently, in a disconnected manner.
Thus If no internet connection is required, the processed data can be viewed locally as well. The Cloud only features as a Software to enable further analytics and poses as a customized GUI platform to view the data.
The Flagship device ofEmbedos Engineering LLPis its own Edge device. It has a plethora of options and applications and is developed as a programmable automation gateway controller. The Emedos Edge device can replace the traditional PLC to perform as a Logical Controller.
Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.
Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.
Hybrid clouds offer the best of both worlds.
It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.
Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.
Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.
This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.
These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.
By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.
Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:
1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.
Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.
One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.
This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.
#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.
The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.
One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.
Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.
Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.
Developing lowcode applications doesn’t require users to know coding, anyone can create an application.
Domain experts and #IT professionals can work together to create solutions that bring more value to the business.
Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.
Addressing fraud at charging points can be a complex task.
For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.
As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.
Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.
Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.
To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.
chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration.
Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.
Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.
The Internet of Things, or IoT, is an ecosystem of interconnected computing devices, mechanical and digital machines, objects, animals or people that have the ability to transfer data over a network. The Internet is one of mankind’s greatest inventions if not the greatest up to date.
The Internet of Things is so sought after because it combines hardware, software, firmware and interconnects all these platforms by bringing them onto the digital realm. Thus a direct connection is established between the analog and the digital platform.
So is Youtube an example of IoT?
A question that many people ask is “Why is a website or a mobile app which runs on the internet, not a part of the Internet of Things ecosystem”?
Well, the “T” in IoT refers to physical objects, hardware, automobiles, and appliances in general which are filled with electronic components, embedded systems, sensors and software mechanisms that allow them to interconnect with each other and subsequently exchange and act on data.
These devices are often referred to as “Smart Devices” or “Connected Devices”. Just imagine, all air conditioners, TV’s, washing machines, heating equipment as well as lights and fans in your home can be remotely controlled from your computer or your mobile phone through the internet.
This type of an IoT ecosystem is called a Smart Home. With IoT, data driven analytics is also on the rise. Data collected from billions of sensors that are planted on the field in order to study customer behaviour has already started revolutionising marketing strategies to reach new potential customers and also to retain regular customers.
There are numerous real-world applications of the internet of things, ranging from consumer IoT and enterprise IoT to more importantly and manufacturing and industrial IoT (IIoT).
Industrial Internet of Things (IIoT) or Industry(4.0) is a platform with the philosophy that smart machines in factories are safer, more productive and have better quality that Human work.
With IoT in manufacturing, industrialists can mark their assets making them digitally identifiable and thus tracking their condition status, location as well as machine usage in Real Time.
It also enables manufacturers to remotely monitor and manage factory units along with optimizing process automation. Some additional features of IoT at enterprise level are:
Better control of quality and deeper insight in Supply Chain Management systems.
Ability to remotely update devices planted on the field.
Conserve energy, reduce costs and reduce machine downtime.
Attain consumer as well as machine insights.
Ability of products to manage themselves.
From Fleet Management to Supply Chain Management,Safety, Security and Production Flow Monitoring to the Medical Industry, such applications only skim the surface of an ocean of countless possibilities with IoT.
In the End,
Mankind loves convenience. With connected devices all around, IoT will prove to be time saving and hence an efficient proposition. But at the same time, it could make us lazy and complacent.
We should be able to use the time saved by IoT to be more innovative. IoT will change the way we function on a daily basis. It is high time that the society realises how important this revolution is going to be.
Along with Artificial Intelligence, the Internet of Things is going to be a disruptive technology which will slowly but definitely change the way we live. To know more about IoT & how it can be leveraged, you can always write to Embedos. We’d be glad to help you leverage the power of IoT.
Looking for End to End Industrial Automation & IoT Solutions?
Applications of IoT are growing day by day, so are the demands of our farmers.
Apart from finding wide acceptance in areas such as IoT including Industrial IoT, home automation, logistics and supply chain management, IoT is yet to carve a household name for itself in the world of farmers.
The Internet of Things is so sought after because it combines hardware, software, firmware and interconnects all these platforms by bringing them onto the digital realm. Thus a direct connection is established between the analog and the digital platform.
The benefit that Edge brings is to compute and transfer this raw data at the source itself, so as to reduce the size of the data to be transmitted and increase the speed of data transfer.
Since data computation happens closer to the source of data generation, real time monitoring and analysis can take place bringing the machine closer to the operator.
As technology evolves, the demand for advanced skills will only increase — unless we find ways to catch up.
It has been predicted that IoT will be a part of the most fundamental functionalities of each business area by the year 2020.
There is no doubt that IoT will revolutionize the way we do our daily things, but we might have a terrible skills gap to match the demand of such a technology.
By installing controllers on machines, we receive data on the functioning of that instrument.
Using this data, we can create a pattern of when the appliance is working in pristine condition and when it is not. Using this pattern, an algorithm is created to accurately detect when the machine could need its next maintenance run.
Thus we reduce the requirement of a preventive maintenance run by accurately predicting when the machine needs maintenance the most.
One way is by using presence detection or detect an entity’s location to understand and indicate exactly where individual workers are or materials are or where equipment is and the belief here is that we could increase individual environmental awareness.
The Interest for Industrial IoT at construction sites is growing. There has been an increased enthusiasm just to get more data onto the site but data alone isn’t enough. What we need is real time actionable information.
In order to get actionable information more sensors and IoT devices on the site need to be deployed so that they can be embedded in materials.
Therefore, for manufacturers to stay in business and grow, it is all the more important than ever to offer consumers an experience beyond sales. Turning into service providers helps companies to do just that.
Sales is easier and customer acquisition costs become negligible if companies sell more services to their existing set of consumers, rather than pitching for new customers.
Making a strong community out of your customers, solving pain points and creating product experiences where customers get to feel involved with the development of a product are a few points why companies pivot from Sales to building a brand and marketing.
chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration.
Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.
Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.
Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.
To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.
If we had to visualize a farmer in India, it would be the image of a lean hardworking man in his traditional white dhoti and pagdi, tilling his land with his bullock cart or pushing the plough himself.
Agricultural practices are amongst the high points in the Indian Economy. Even though it is the main source of livelihood for the majority of the unorganized sector, it still remains technologically under developed. Technology and more importantly education about this technology takes a mere backseat in today’s scenario.
Enabling such an industry with this level of technology needs to be worked upon from the grass root level. This blog post is more about how farmers can utilize the technology that is available in the market to successfully develop a more efficient and productive way of farming.
It is anything but a mystery that theInternet of Things(IoT) changes the world for the better. Truth be told, it has already presented advancement in different enterprises, which has helped with expanding efficiency and cutting expenses of business tasks in various aspects.
Applications of IoT are growing day by day, so are the demands of our farmers. Apart from finding wide acceptance in areas such as IoT including Industrial IoT, home automation, logistics and supply chain management, IoT is yet to carve a household name for itself in the world of farmers.
Nowadays, farmers are gifted with various options to manage their day-to-day activities. Yet, they are dependent on traditional methods followed by our ancestors for hundreds of years. Experts state that lack of awareness and education are the prominent reasons why farmers in India do not know about the plethora of options that are available to use. Tools like IoT, data analytics and AI are only going to increase efficiency and productivity by an enormous scale.
Humans in general fear innovation especially in cases of AI & IoT citing loss of livelihood. People have forgotten about the fact that when the Tractor was newly introduced in the agrarian world, farmers believed it to bring an end to farm labor and therefore their employment, not realizing that the introduction of the Tractor is only to facilitate them in their daily work.
The total agricultural output of India has been found to be 16% of our nation’s GDP. This is the age of modern technology. Even at this time, there are lots of issues faced by farmers in India such as water scarcity and inaccuracy in determining farm productivity. The point of most IoT products is to empower ranchers to utilize these bits of knowledge to settle on operational choices around planting, watering, reaping and more.
Of course, traditional methods have always proved to be the best. That has been successful in practice for 100s of years. If IoT can join hands with current Agricultural practices, then there could be less hurdles faced by farmers in present times.
Things have started taking a slow but steady turn for the farmers. Terms such as smart farming and AgriTech can become the buzzwords if we create proper awareness. Let’s have a look at how IoT can influence agriculture immensely.
Monitor climatic conditions accurately!
This method can combine various smart farming sensors together to predict weather conditions. This could help farmers to collect different data patterns from environmental conditions and fetch it back to the cloud. By opting for this method, they can choose the right crops, understand the climatic conditions and employ precision farming.
For example, by looking at the data collected on Climatic conditions by those sensors, farmers could actually predict when the monsoon season starts and sow the ‘rabi’ crop accordingly. They could know for themselves whether the oncoming monsoon season is going to be a drought or an above average one and suitably plant their batch of crops.
Automating the Greenhouse
Just like humans, every plant is unique. If one plant requires higher pressure rate, its opponent would require a low temperature. Proper humidity, pressure, temperature, soil moisture, nutrients and the air is a necessity for any plant to live its best life.
Sensors in the soil could measure soil moisture content to perfectly know when water is going to be needed the most. Additionally, some research groups have used Ion Selective Electrodes (ISE) and electrochemical sensors to quantify potassium, sodium and other nutrients in the soil. By collecting this data and connecting it with the internet, farmers could know accurate nutrient and water levels on their farmland in real time. They can then use this information to provide their harvests with the right quantity of fertilizers, nutrients and water at the perfect time.
By implementing the functionalities of IoT, farmers can leverage smart sprinklers to spray the right amounts of water and pesticide at the required time. This can be done remotely, giving farmers the flexibility of catering to things that need their physical presence while watering the field is taken care of at the flip of a switch. For example, they could be feeding their cattle and watering their crops at the same time, thus empowering them to be more productive than before.
Crop management devices
Similar to Greenhouse automation, farmers could make use of IoT enabled sensors to detect plant infestation. This will enable them to better manage their overall crop health.
Bringing Greenhouse automation and crop management systems under a single IoT platform will help farmers to digitally visualise their farm.
As the internet makes the world a smaller place, the practise of smart farming and IoT in agriculture will only help farmers to manage their farms in a methodical, efficient way, which will help them increase their farm productivity on a large scale.
Drones in Agriculture
Drones have found an unavoidable place in various consumer and business verticals. Why not bring these super-flying objects into agriculture? To ensure crop health including irrigation, planting, analyzing, crop spraying and monitoring, drones can come handy. Right from pressure mapping of the weeds to the measurement of the stockpile, drones can be of great support to farmers in the upcoming days.
With the help of data that we assemble from drone usage, it gives us bits of knowledge of plant health, field expectation, plant checking, mapping of field water, estimation of capacity, exploring reports, estimation of nitrogen in wheat, mapping of weed weight and much more.
A drone is a flying tractor. There is nothing a tractor can do that a drone cannot, except for maybe pulling ploughing carts. With bigger drones, this may change as well. Drones increase speed of output and improve coverage of large lands. With the help of drones, farmers can comprehensively cover every aspect of their farm for spraying pesticides and water or just imaging their crops for security.
End-to-end and peer-to-peer farm management systems
Business intelligence combined with IoT finds a prominent place in every industry of today. This can undoubtedly be of utmost help in farm management. By using powerful and smart dashboards which includes analytical and in-built reporting capabilities, you can monitor the entire performance of your farm at anywhere and anytime at a single click.
This method also paves the way for streamlining the majority of the business tasks and operations. They can also find their application in storage management, vehicle tracking and logistics.
How is smart agriculture going to benefit the farmers?
Technology has found its place in every aspect of our life. It would invariably help farmers of tomorrow if we introduce IoT for different frontiers of agriculture today. There are many pros associated with smart agriculture. Some of them are listed below:
Streamlined internal processes
By using smart agriculture, you can streamline the entire farming processes which would result in lower risks of production. By leveraging the clear insights on your production, you would be able to plan easily for smarter production distribution. This will result in increased turnover since you will have proper knowledge of harvesting crops.
Increase in the product quantity
With smart agriculture, farmers will be capable of controlling their entire production processes which would lead to increased standards in the quality of the crop along with the growth rate. These processes would, in turn, pave a clear path to increased revenue.
India would be a strong nation on the day when farmers are able to walk freely without any physical and mental stress. With proper awareness and education on IoT, this step is achievable.
The upcoming decade can be termed as the age of the Internet of Food and Farm starting 2020.
Let’s unite together to bring a revolution in farming with IoT!
Looking for a smart agricultural device? Our team atEmbedoswould be able to help you.
Looking for End to End Industrial Automation & IoT Solutions?
Public, private, and hybrid clouds each have their own set of advantages and disadvantages, and the choice of which one to use depends on the specific needs of the organization.
Public clouds offer scalability and cost-effectiveness, while private clouds offer control and security.
Hybrid clouds offer the best of both worlds.
It is important for organizations to evaluate their specific needs and choose the type of cloud that best meets their requirements.
Cloud computing can deliver tremendous amounts of business value to organizations, but it requires a strategic approach and a willingness to embrace change. Organizations that are able to do this, can reap the benefits of cloud computing and gain a competitive advantage in the marketplace.
Today, almost every manufacturing customer that is digitally transforming becomes partly a software company.
This is because digital transformation in manufacturing involves the integration of advanced technologies such as software, cloud services, data analytics, and artificial intelligence into traditional manufacturing operations.
These technologies enable manufacturers to improve efficiency, increase productivity, and gain insights from data to make better decisions.
By incorporating software into their operations, manufacturers can automate and streamline processes, improve communication and collaboration within the organization, and gain access to advanced analytics tools to make data-driven decisions.
Manufacturers who have not yet adopted cloud computing may be hesitant to do so for a variety of reasons. Some of the most common reasons include:
1) Familiarity with traditional methods: Long-standing businesses may be reluctant to move away from the familiar ways of working that have been successful for them in the past.
Whether a System-on-Module (SOM) or a System-on-Chip (SoC) is better depends on the specific requirements and constraints of your project. Both have their own advantages and disadvantages and the choice between the two will depend on the specific needs of your application.
One of the key ways that IoT cellular connectivity has enabled the rise of micromobility is by providing a means of communication between the vehicle and the internet.
This allows for real-time tracking and monitoring of the vehicle’s location, usage, and maintenance needs, as well as enabling features such as remote locking and unlocking, and the ability to pay for rides using a smartphone app.
#iot cellular connectivity has also made it possible for micromobility companies to offer services such as shared scooter fleets, where users can locate and unlock a nearby scooter using their smartphone.
The move to remote and hybrid work, as well as rising gas prices, may have contributed to the growth of the #micromobility industry.
One of the core things in your digital transformation journey is to make sure people are included in how you improve your processes.
Because work is typically siloed among machines, shop floors, products, data, and systems, and business processes it can be difficult to work together.
Creating applications can help bridge the gaps and allow your divisions to become more united by analyzing and comparing data together.
Developing lowcode applications doesn’t require users to know coding, anyone can create an application.
Domain experts and #IT professionals can work together to create solutions that bring more value to the business.
Doing so allows for #governance and #security to stay firmly intact, while solutions are driven by value and impact on the business.
Addressing fraud at charging points can be a complex task.
For commercial charging stations, fraud prevention measures may include implementing secure payment systems, conducting regular audits and inspections, and monitoring usage patterns to identify any unusual activity.
As the telecos power ahead with new age internet technologies, like IoT, AR/VR, Blockchain and with the obvious use of AI, there is a large market that they can capture.
Internet of Things (IoT) services are becoming increasingly important as more and more devices are connected to the internet.
Industrial Internet of Things (IIoT) refers to the use of connected devices and sensors to gather and analyze data in industrial settings. In terms of calculating the service life of an industrial asset, IIoT can play a role in several ways.
To calculate the service life of an industrial asset, you will need to consider these factors and make an educated estimate based on your specific circumstances. You may also want to consult industry standards or guidelines for guidance on expected service life for different types of assets.
chnically-advanced controller that works on real-time data and system integrations can solve a lot of trouble. Embedos EB Series (EM Bose) is currently amongst the best liquid-level controllers for tank manufacturers & liquid production industries like dairy, water, juice, oil, wine etc when it comes to measuring the level of multiple liquids without changing device configuration.
Combining with Temperature Input interfaces on Thermocouple / RTD inputs, the same controller can measure & display liquid level and temperature of the environment / tank.
Compatible with both vertical and horizontal tanks, EM Bose is a tested and heavily deployed industrial solution. It calculates the volume of the liquid in the tank taking inputs from a pressure sensor mounted at the bottom of the tank. The data collected on the volume is displayed in real-time via a digital screen.
Our vision is to achieve Industrial Effieciency & Optimization by enabling Industry 4.0, Remote Monitoring and Control across all Industrial platforms.
Embedos Engineering LLP
Embedos is an enabler of Edge Computing, Industrial IoT & Industry 4.0 - Hardware & Software Solutions.
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