Guodian Electric Power Suizhong Company (国电电力绥中公司)

Solution

Baidu AI Cloud and Guodian Electric Power Suizhong Company built a fault-knowledge-base solution for power-generation equipment management. The solution connects work orders, equipment ledgers, operating procedures, and other maintenance data, then applies semantic understanding so those records can be searched and reused as structured operational knowledge. The resulting equipment portraits cover the plant's three major host machines, more than ten systems, and hundreds of auxiliary devices. On top of that base, an intelligent-decision application supports three stages of the maintenance lifecycle: before faults occur it helps staff retrieve parameters, maintenance history, and repair measures; during a fault it uses deep learning and reasoning engines to assist diagnosis and decision-making; and after a fault it supports review and trend analysis. Rather than keeping knowledge as static documents, the plant now uses it as an operating asset for equipment health management and smarter maintenance response.

Data flow

Maintenance work orders, asset ledgers, procedures, and equipment history are consolidated into the fault knowledge base, where semantic processing creates equipment portraits and searchable knowledge. Maintenance staff then retrieve parameters or recommendations, and the intelligent-decision layer uses historical fault patterns to support live diagnosis and later post-event analysis.