A control method of a strong and weak electric integration internet of things intelligent control box

By integrating strong and weak current design and fusing multi-source data from edge computing units, and dynamically adjusting fuzzy PID control parameters, the problem of insufficient adaptability and reliability of traditional control boxes is solved, realizing intelligent adaptive modern electrical control and improving response speed and stability.

CN122131651APending Publication Date: 2026-06-02THE THIRD CONSTR CO LTD OF CHINA CONSTR THIRD ENG BUREAU +1
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Patent Information

Application Number
CN202610190076.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Traditional control boxes lack real-time monitoring and energy efficiency optimization functions, which cannot meet the needs of remote equipment management and data interconnection in the era of Industrial Internet of Things, and are not adaptable and reliable enough.

Method used

It adopts an integrated design of strong and weak current, integrating IoT smart circuit breakers, sensors, edge computing units and communication modules. Through the edge computing unit, it performs multi-source data fusion and fuzzy inference, dynamically adjusts the control parameters of the fuzzy PID controller, and realizes adaptive intelligent control.

Benefits of technology

It improves the system's response speed, control accuracy, and stability under load fluctuations and environmental changes, and realizes highly integrated, intelligently adaptive, and safe and reliable modern electrical control.

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Abstract

This invention provides a control method for an integrated strong and weak current IoT intelligent control box, belonging to the field of electrical control technology. The method includes: collecting strong current parameters and weak current environmental parameters within the control box via an edge computing unit; dynamically adjusting control parameters based on the collected multi-source data using a fuzzy inference algorithm; generating control commands according to the adjusted control parameters; and controlling the operation of the actuators through an intelligent device controller. Simultaneously, it achieves functions such as predictive energy-saving scheduling, fault precursor detection and fault-tolerant control, and multi-control box collaborative optimization. This invention solves the problems of slow system response, low energy efficiency, and poor reliability caused by traditional separate strong and weak current control cabinets, realizing integrated strong and weak current intelligent control and improving system operating efficiency and reliability.
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