二次设备远程运维管控平台的研发与应用OA

To address industry challenges in the remote operation and maintenance(O&M)of power system secondary equipment,such as disordered alarm information in traditional protection and control systems,large errors in secondary circuit fault localization,high misjudgment rates in manual monitoring,and significant deficiencies across the entire"perception-cognition-decision"chain,an intelligent monitoring system for secondary equipment is developed.This system integrates precise alarm classification and grading,intelligent identification of equipment operation scenarios,and automated generation of alarm handling measures,along with the development of a corresponding remote O&M management platform.The intelligent monitoring system standardizes alarm information using natural language processing and pretrained models,while establishing a dynamic iterative optimization mechanism.It relies on a multidimensional,constraint-based scenario knowledge base and a rule-based reasoning engine to achieve accurate identification of equipment operation scenarios.By combining multi-strategy maintenance-information filtering with large language models and retrieval-augmented generation(RAG)techniques,the system generates effective alarm handling solutions.The platform supports functions such as remote monitoring,inspection,control,and maintenance,and is designed based on a secure zoning architecture.It has been deployed in a provincial power grid and has demonstrated stable performance,promoting the transition of secondary equipment O&M from"on-site dependence"to"remote intelligence".