Real-time autonomous hotspot detection in electrical substations

A system to detect a hotspot in an electrical substation, comprising:

• an Internet-of-Things (IoT) hub that controls a robot at the electrical substation to inspect a plurality of electrical components of the electrical substation to generate a plurality of inspection results;
• a backend microservice that receives the plurality of inspection results transmitted by the IoT hub;
• and
• a machine learning (ML) microservice that analyzes, in response to the backend microservice receiving the plurality of inspection results, the plurality of inspection results to generate a response to the backend microservice, wherein the response includes a prediction of a hotspot in at least one of the plurality of electrical components,
• wherein a maintenance operation of the at least one of the plurality of electrical components is performed based on the response.

An electrical substation comprising:

• a plurality of electrical components;
• a robot;
• and
• an Internet-of-Things (IoT) hub that
• controls the robot to inspect the plurality of electrical components substation to generate a plurality of inspection results;
• and
• transmits the plurality of inspection results to a backend microservice;
• wherein, in response to the backend microservice receiving the plurality of inspection results, the plurality of inspection results are analyzed by a machine learning (ML) microservice to generate a response to the backend microservice,
• wherein the backend microservice and the ML microservice are cloud-based and communicate with each other via Representational State Transfer (REST) application programming interface (API),
• wherein the response includes a prediction of a hotspot in at least one of the plurality of electrical components, and
• wherein a maintenance operation of the at least one of the plurality of electrical components is performed based on the response.