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Intelligent patrol inspection of low code enabled electric power communication equipment based on digital transformation

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Abstract

In order to meet the needs of digital development of power system and ensure the safety of power communication equipment, an intelligent patrol inspection method for power communication equipment with low code enabling based on digital transformation is proposed. Build an intelligent patrol platform for low code enabled power communication equipment based on digital transformation. The data acquisition module of the infrastructure layer scans the RFID tags on the communication equipment through the patrol personnel’s handheld devices to obtain the specific information of the current equipment. The UDT data transmission protocol of the data transmission module transmits the equipment information collected by the patrol personnel to the patrol application layer; The fault diagnosis module of patrol application layer uses convolutional neural network to analyze patrol data and complete fault detection of power communication equipment; The integrated component layer uses the application components developed by visual tools to enable the platform with low code through the low threshold platform development technology; The front-end service layer, supported by the technology of the integrated component layer, implements the simplification and configurable processing of front-end display results such as patrol results display, and views and manages the patrol results of the platform through the user terminal layer. The experiment shows that the method is accurate in data acquisition, fast in data transmission and high in fault diagnosis accuracy. It is a highly practical intelligent patrol method for power communication equipment.

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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

The study was supported by “2023 State Grid Liaoning Power Fund project: Power communication room manual inspection mode replacement” (Grant No. 2023YF-162).

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Authors and Affiliations

  1. State Grid Liaoning Electric Power Co., Ltd, Shenyang, 110006, Liaoning, China

    **ng Huang, Li Li, Lu Liu & Meng Li

  2. Fuxin Power Supply Company of State Grid Liaoning Electric Power Co., Ltd, Fuxin, 123000, Liaonong, China

    Wei Wang

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  1. **ng Huang
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  2. Li Li
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  3. Wei Wang
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  4. Lu Liu
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  5. Meng Li
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All authors contributed equally to the writing of this paper. All authors reviewed the manuscript.

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Correspondence to **ng Huang.

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Huang, X., Li, L., Wang, W. et al. Intelligent patrol inspection of low code enabled electric power communication equipment based on digital transformation. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04505-4

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