Intelligent building electrical management method and system based on cloud computing

By recording access behavior paths and trigger frequencies in real time through a cloud computing platform, adjusting node locations and task paths, and optimizing task allocation, the problems of delayed equipment management response and uneven task distribution in building electrical management systems have been solved, achieving efficient power consumption status adaptation and scheduling coordination.

CN122285272APending Publication Date: 2026-06-26FUJIAN TUHUI TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610381393.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing building electrical management systems rely on manual inspections and local monitoring, which cannot achieve real-time synchronous control of the operating status of equipment in multiple areas. Equipment data updates are limited, system regulation is subject to lag risks, and fixed communication methods result in low equipment scheduling efficiency, making it unable to adapt to load changes and affecting energy efficiency and load balance stability.

Method used

By recording access behavior paths and trigger frequencies in real time through a cloud computing platform, adjusting node positions, optimizing task execution channels, and resetting ownership paths and task paths, the system achieves precise correspondence between task status and node instruction flow, thereby enhancing the ability to quickly adapt to changes in building power consumption status.

Benefits of technology

It effectively alleviates high-frequency node congestion, optimizes task allocation, improves the flexibility of equipment management response, realizes the dynamic allocation of scheduling resources between nodes and the efficient coordination of execution order, and solves the problems of lagging equipment management response and uneven task distribution in the traditional mode.

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Abstract

The invention relates to the technical field of electrical management, in particular to an intelligent building electrical management method and system based on cloud computing, and the method comprises the following steps: obtaining power utilization data, building an access record, counting the access frequency, adjusting nodes, analyzing a task queue, distributing execution channels, and resetting a task path to complete scheduling mapping. And constructing an electrical management instruction network. According to the method, node position adjustment is carried out through real-time recording and trigger frequency statistics of an access behavior path in combination with access concentration degree judgment, the problem of high-frequency node congestion is effectively relieved, task allocation optimization is achieved through control sequence detection of a task execution channel, and the task allocation efficiency is improved. The flexibility of task response is improved through an attribution path resetting and task path updating mechanism, the accurate correspondence of a task state and a node instruction stream is realized, the rapid adaptability to the change of a power utilization state of a building is improved, and the problems of equipment management response lagging, non-uniform task arrangement, low instruction execution efficiency and the like in a traditional mode are solved.
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