Improvements in technology have been spurring growth in the surface inspection and
vision sector, according to Smerkar. “The reason behind the overwhelming effectiveness of
intelligent infrastructure monitoring is that artificial intelligence and machine learning and computer vision have been making impressive strides as well,” he says.
As part of intelligent infrastructure monitoring, power utilities use the live streams from their CCTV feeds as video data, along with additional data gathered from humans, drones, or robots. Utilities also conduct regular thermal scans on assets to ensure critical equipment is not overheating and at risk of failure. Data from these various edge points feed into the cloud for processing. Hitachi delivers insights from these analytics through its visualization suite.
Using the Hitachi Intelligent Infrastructure Monitoring solution, operators at power utilities can “channel worker resources more efficiently and obtain real-time views of critical infrastructure components from anywhere at any time,” Smerkar says.
In addition, they can receive notifications when a reading from a particular piece of equipment is out of its normal operating range and drastically reduce system downtime. Equally important, says Smerkar, “all insights are through a single pane of glass.” Whereas before operators had to log into multiple systems to keep track of equipment, the visualization suite corrals all real-time data insights into one place.
Hitachi’s visualization suite, which runs on Microsoft Azure stack, uses Intel® NUCs on its smart cameras. All edge gateways, for preprocessing of video data, run on Intel, Smerkar says.
The video data-driven solution need not be restricted to use cases for electricity substations alone. “Critical infrastructure is everywhere,” Smerkar says. “It could be roads, highways, bridges, stadiums. The same principles apply,” he adds.