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.

 

 

 

 

 

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Public, Private & Hybrid Cloud Types! Also Community Cloud!

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.

How for organizations – it is cloud compliance that creates value and trust in security.

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.

Why manufacturers don’t like cloud computing!

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.

System on Module ( SOM ) vs System on Chip ( SOC ) – Which is better ?

Hence, SOM vs SOC which is better?

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.

An Era of MicroMobility during the 4th Industrial Revolution!

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.

How Low Code / No Code Platforms are enhancing Digital Transformation, specially Industrial Iot!

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.

EVs are great! But what of fraud risk at charging stations? Who keeps tabs on that?

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.

What Airtel, Jio & Vodafone are doing, and how they can lead in the IoT Market!

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.

How to calculate the service life of an industrial asset using Industrial IoT (IIoT)?

How does industrial iot play a role in this ?

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.

How Embedos helps Tank Manufacturers and Dairy Producers optimize their Tank Fill Control.

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.

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