The advancement in the world of industrial technology has allowed for many innovations and simplifications. The processes which were dependent on manual interference are slowly going the way of the dodo. This has allowed for increased efficiency in the operations and has given a massive boost to the overall organization’s productivity and performance. And one of the key driving factors of this change has been developing a better industrial IoT infrastructure.

 Industrial IOT

It is a thriving market with tremendous value and is expected to reach an estimated $225 billion by 2020. The applications are only bound by the designer’s and engineers’ imagination, which allows for immeasurable industrial growth.

Manufacturing hubs are finding new ways to implement IIOT in their workflows to make their processes more efficient. While the new ones are still under development, many applications can already be seen on many leading corporations’ factory floors.

Here are 3 excellent implementations of Industrial IOT in manufacturing that you should know about –

Real-Time Asset Monitoring

One of the most important aspects of a manufacturing unit is its physical assets. Industrial IOT platforms allow organizations to monitor their equipment, machinery, or other connected systems in real-time. This helps them to ensure reliability, safety, and compliance without having to invest manual labor. It allows for remote management to take decisions or control the operations in a lean manner.

The IoT platforms can be adapted to work with any kind of system, allowing for maximum flexibility. The overall asset architecture can be connected, monitored, and controlled from one central location. The data generated here can be used for coming up with further developmental plans.

Connected Operations

The connections of machines and equipment let the manufacturers come up with smart networks. These smart networks generate an immense amount of data that can be used by organizations for developing actionable plans. Organizations can focus on the key performing factors and use them to increase the overall performance.

A stakeholder can use the data generated by these intelligent systems to monitor the machines’ conditions and efficiency in real-time. The data generated by one unit can be used by other units that are located in remote areas.

Accurate Predictive Maintenance

Preventive maintenance was the norm before IIOT. But with the advent of smarter and easier to implement IIOT systems, predictive maintenance has become the buzzword. Organizations are always wary of any downtimes and failures in their operations. With IIOT systems, the generated data allows the key personnel to predict abnormalities in working ahead of time accurately. A simple crack that was detected in the system can be repaired before any catastrophic failure occurs or otherwise compromising the safety and the running of the process.

For example, the modern farms are connected to vast arrays of sensors and automated platforms that help the engineers predict any change in the blades’ regular working process. They can take quick and intelligent actions without facing any downtime.