A predictive maintenance system for a metal metering device safety working condition and a risk map construction method

By integrating sensing and monitoring, data processing, and cloud analytics into a predictive maintenance system, the problems of low maintenance efficiency and unreasonable risk allocation in metal enclosures have been solved. This system enables real-time monitoring, accurate prediction, and visualized risk management, thereby improving maintenance efficiency and safety.

CN122114886APending Publication Date: 2026-05-29YANGJIANG POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YANGJIANG POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
Filing Date
2026-02-02
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

The existing maintenance methods for metal enclosures mainly rely on periodic inspections and post-incident repairs, which are inefficient, costly, and unable to detect potential problems in a timely manner. Furthermore, they lack systematic monitoring and accurate prediction methods, resulting in unreasonable allocation of maintenance resources and an inability to adapt to the risk quantification and visualization of small, distributed equipment.

Method used

The system employs a sensing and monitoring module, a data transmission module, an edge computing module, a cloud server module, and a terminal display module to monitor the operation and environmental parameters of the metal meter box in real time. It uses the random forest algorithm and LSTM neural network model to evaluate operating conditions and predict faults, and combines the analytic hierarchy process to construct a risk map and generate targeted maintenance plans.

Benefits of technology

It enables real-time monitoring and accurate fault prediction of the safe operating conditions of metal enclosures, reduces failure and accident rates, optimizes maintenance resource allocation, improves maintenance efficiency and cost-effectiveness, and provides intuitive risk visualization support.

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Abstract

The application belongs to the technical field of metal metering box maintenance, and is especially a predictive maintenance system for metal metering box equipment safety working conditions, which comprises a sensing and monitoring module, a data transmission module, an edge computing module, a cloud server module and a terminal display module, the sensing and monitoring module is used for collecting the operating parameters, environmental parameters and structural state parameters of the metal metering box equipment, and outputting original monitoring data, and has the beneficial effect that the application realizes real-time monitoring, accurate evaluation and fault prediction of the metal metering box safety working conditions, comprehensively collects multi-dimensional parameters through the sensing and monitoring module, and can accurately judge the current working condition grade in combination with the double model of the edge computing module, so as to predict the fault risk and type in advance and effectively avoid the expansion of the fault. According to the measurement, the system can reduce the metering box failure rate, reduce the accident rate and save the maintenance cost.
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