Power transmission line icing intelligent monitoring and cooperative deicing system and method

By intelligently scheduling fixed and mobile de-icing devices through a multimodal sensor network and collaborative control module, the problem of intelligent monitoring and collaborative de-icing of transmission line icing has been solved, achieving efficient and accurate icing management and reducing accident risks and operating costs.

CN121906332APending Publication Date: 2026-04-21PINGDINGSHAN POWER SUPPLY ELECTRIC POWER OF HENAN
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Patent Information

Application Number
CN202511861955.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-11
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve intelligent monitoring, accurate prediction, and coordinated de-icing of transmission line icing. In particular, the lack of fully automated and optimized control strategies in complex scenarios involving large areas and diverse icing conditions across multiple lines results in low de-icing efficiency, high energy consumption, and high costs.

Method used

A multimodal sensor network is used to perceive the icing environment, combined with a prediction module to judge the icing trend, and a collaborative control module to intelligently schedule fixed and mobile de-icing devices to achieve precise and efficient collaborative de-icing.

Benefits of technology

It has improved the accuracy of icing prediction and de-icing efficiency, reduced the risk of line breakage and tower collapse, saved manpower and energy costs, and realized the intelligent and collaborative management of icing on transmission lines.

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Abstract

The invention discloses a power transmission line icing intelligent monitoring and cooperative deicing system, and belongs to the technical field of power transmission and distribution of power systems, and the system comprises a monitoring module which is used for collecting line icing environment parameters and image data in real time; the prediction module is used for predicting an icing growth process and an icing type in a future set time period by fusing numerical weather forecast, a geographic information system and real-time image information on the basis of the monitoring data; the deicing execution module comprises a fixed deicing device and a movable deicing device, and the fixed deicing device comprises an ultrasonic deicing device and a fixed direct current deicing device which are integrated on a power transmission line windproof hammer; and the cooperative control module is used for generating a cooperative deicing strategy based on the icing prediction result and the real-time monitoring data and controlling the deicing execution module to execute deicing. Through multi-line deicing sequence optimization, energy consumption dynamic distribution and mobile device path planning, the optimization of the deicing equipment is realized, and the deicing efficiency is greatly improved.
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