AUTONOMOUS SUBSTATION CONDITION MONITORING USING ROBOTICS AND IMAGE RECOGNITION

This month’s Featured Technical Paper is from the Proceedings of the 2023 International Conference of Doble Clients. The paper is titled: Autonomous Substation Condition Monitoring Using Robotics And Image Recognition.

Abstract

Substation security and reliability can be greatly improved with the use of autonomous substation visual and infrared (IR) scanning technology when paired with the latest deep learning software abilities. With the increasing electrification of society, as well as increased targeted attacks on electric substations worldwide, focus on security and reliability within electric substations has been elevated to the highest levels. While artificially intelligent software and travelling robots are advancing to provide new ways of scanning electric substations, full unsupervised autonomous patrols are not yet practical. Stationary scanning using mounted autonomously controlled robotic PTZ cameras with deep learning software can now be safely operationalized to cover 75% to 95% of a medium-large substation yard. With different techniques of operationalizing stationary camera systems, we will discuss a unique pilot project idea for this process, with a strong focus on simplicity while maximizing value, reliability and system flexibility. With many substation stakeholders using this single substation scanning platform, we can maximize the system’s value by maximizing the number of users and use cases.

Doble Service Agreement Clients

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