Internet of things based method and system for life cycle management of uninterrupted operation tools

By binding tool, work order, and operator information through Internet of Things (IoT) technology, a three-element association record is generated, and management strategies are dynamically adjusted. This solves the problems of hidden degradation and operational differences in the management of live-line working tools, and achieves extended tool life and improved safety.

CN122198386APending Publication Date: 2026-06-12GUIZHOU POWER GRID CO LTD ZUNYI POWER SUPPLY BUREAU
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU POWER GRID CO LTD ZUNYI POWER SUPPLY BUREAU
Filing Date
2026-01-19
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing live-line working tool management systems cannot effectively identify hidden degradation of tools at design boundaries or in non-recommended scenarios, and fail to consider uneven tool wear caused by differences in operation among different operators, resulting in premature tool failure and increased operational risks.

Method used

By using an Internet of Things (IoT) approach, tools are linked to work orders using RFID tags, recording work condition parameters and operator information, generating a three-element correlation record, performing statistical analysis, dynamically adjusting lifecycle management strategies, and enabling the identification and management of tool performance degradation trends.

Benefits of technology

Accurately identify hidden risks of tool degradation, extend tool life, reduce operational safety risks and management costs, and improve tool safety and controllability.

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Abstract

The application belongs to the technical field of tool management based on the Internet of Things, and discloses a method and device for life cycle management of tools for uninterrupted operation based on the Internet of Things and a storage medium. The method comprises the following steps: realizing the association and binding of tools and operation work orders through tool RFID identification, extracting structured operation condition information in the work order to determine operation condition parameters; comparing the parameters with preset recommended conditions, boundary conditions and non-recommended conditions to generate an adaptability determination result; storing the determination result, operation personnel identity information and RFID identification in association to form a three-element association record; identifying the tool performance degradation trend based on statistical analysis of the accumulated three-element association record; dynamically adjusting the life cycle management strategy in response to the degradation trend, and automatically checking and executing the tool taking and returning through the RFID identification. The method realizes dynamic management of the tool life cycle, accurately identifies the hidden degradation risk, improves the safety and controllability of the operation tools, and reduces the operation risk and management cost.
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