Abstract: The article is based on the operational characteristics of secondary distribution equipment, builds a foundation for the collaborative adaptation of core intelligent technologies, designs a multi-dimensional monitoring index system and a full-process data control strategy, establishes a mechanism for precise fault identification and traceability warning, and improves the maintenance guarantee and dynamic optimization path; integrates Internet of Things, big data, and artificial intelligence technologies to form a closed-loop system, promoting the monitoring and diagnosis from "passive response" to "active prediction", improving the equipment maintenance efficiency and the accuracy of fault handling; builds an integrated solution of technology, monitoring, diagnosis, and guarantee, providing a reference for the efficient maintenance of secondary distribution equipment and the intelligent upgrade of the distribution network.