A cable temperature real-time monitoring and early warning method based on Internet of Things

By deploying temperature sensing nodes with edge computing capabilities and dynamic early warning models along the cable route, and combining swarm intelligence optimization and integrated learning, the problem of energy efficiency control and early warning performance in existing cable temperature monitoring systems has been solved, achieving efficient and accurate early warning and low-power operation under complex working conditions.

CN121966007BActive Publication Date: 2026-07-07SHANDONG JINDA SPECIAL CABLE GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG JINDA SPECIAL CABLE GRP CO LTD
Filing Date
2026-04-02
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing cable temperature monitoring systems have limitations in balancing energy efficiency control and early warning performance, failing to effectively balance these two aspects. Furthermore, they lack in-depth coordination of computing resources and environmental characteristics, resulting in insufficient early warning accuracy under complex operating conditions.

Method used

A method for real-time monitoring and early warning of cable temperature based on the Internet of Things is adopted. By deploying temperature sensing nodes with edge computing capabilities along the cable, and combining a dynamic early warning model with swarm intelligence optimization and ensemble learning, the data acquisition frequency, wireless transmission power and classifier inference depth are dynamically configured to build a multi-level early warning mechanism, and aggregate analysis and aging compensation are performed in the cloud.

Benefits of technology

It achieves reduced energy consumption at edge nodes while ensuring accurate early warning, adapts to changes in physical characteristics caused by cable aging and seasonal changes, and improves the intelligence level and emergency response efficiency of the monitoring network.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of power equipment state monitoring and signaling devices, and particularly discloses a cable temperature real-time monitoring and early warning method based on an Internet of Things, which comprises the following steps: deploying temperature sensing nodes with edge computing capabilities at key positions of cables; constructing a dynamic early warning model driven by a mixed frog leap algorithm and coordinated by a resource scheduling engine and an extreme gradient boosting classifier; dynamically adjusting data collection frequency, transmission power and inference depth to balance power consumption and accuracy; uploading early warning information to a cloud platform through a low-power wide-area network; generating a global risk situation map and triggering a three-level early warning mechanism. Through the above technical scheme, the application realizes adaptive, low-power and highly reliable cable temperature monitoring and early thermal fault warning, and improves the intelligent level and emergency response efficiency of power system operation and maintenance.
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