Excellent Implementations of Industrial IOT in Manufacturing

The advancement in industrial technology has allowed for many innovations and simplifications. The processes dependent on manual interference slowly go the way of the dodo. This has allowed for increased efficiency in operations and has greatly boosted 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.

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 three 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. Without investing in manual labor, this helps them ensure reliability, safety, and compliance. It allows for remote management to make decisions or control operations in a lean manner.

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

Connected Operations

The connections of machines and equipment let the manufacturers develop smart networks. These smart networks generate immense data that organizations can use to create actionable plans. Organizations can focus on the key performing factors and use them to increase 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 teams located in remote areas.

Accurate Predictive Maintenance

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

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