3. Improved energy management

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Storing the necessary data at the edge will help to combine edge computing with AI/ML applications and minimize the “too much data” scenario.

Having edge applications that can automatically monitor and optimize energy consumption in industrial facilities isn't just good corporate citizenship, it's potentially a huge boon to the bottom line.

“There is a huge demand in the industrial sector for energy monitoring and load management,” says Nelson. “Significant savings can be achieved by simply turning off power or controlling electrical loads during peak times.”

Reducing the cost of electricity has become an urgent issue that needs to be addressed. Developing an edge application that can automatically adapt and optimize energy consumption based on price fluctuations can be a very important use case.

At the same time, remote monitoring of connected bulgaria mobile database and intelligence brought to the level of edge monitoring systems are becoming critical in IIoT.

4. Improving the level of employee safety and facility security
Industrial edge/IoT use cases involve a huge number of sensors and other machines in these environments. But it’s not just about machines, it’s about people, too. Nelson says the industrial edge has significant potential for employee safety and asset security. “Keeping track of employees and contractors and alerting them when they’re not where they’re supposed to be working is huge for safety and security,” he says.