Energy Storage Maintenance Scheduling From Abnormality Detection
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Solution Overview
Problem
The challenge is to maintain a stable power supply with energy storage devices by reducing the downtime required for maintenance and inspection, as frequent maintenance is resource-intensive and difficult to implement effectively, especially in unpredictable events.
Innovation Solution
A maintenance support method and system that detects abnormalities in energy storage devices using measurement data, determines necessary maintenance work periods, worker numbers, and required tools, and notifies workers to minimize downtime and ensure continuous operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent maintenance and inspection are performed to prevent troubles and shorten stop period, then reliability is improved, but productivity deteriorates due to large amount of human resources required
Solution Approach 1:
The energy storage device performs self-diagnosis by automatically detecting abnormality signs through its own sensors and control unit, eliminating the need for continuous human monitoring. The device autonomously determines when maintenance is needed based on its own operational data, achieving reliable operation without proportionally increasing maintenance personnel requirements
Solution Approach 2:
The control unit continuously monitors operational data and provides feedback about the device's condition. When abnormality signs are detected, the system automatically notifies maintenance personnel, enabling targeted maintenance only when necessary, thus maintaining reliability while optimizing resource allocation
2Measurement precision
If manual inspection and investigation are performed to detect abnormalities, then measurement precision is improved, but loss of time increases due to manual verification and repair arrangement processes
Solution Approach 1:
The system replaces manual inspection with automated electronic monitoring using sensors and control units that continuously detect abnormality signs. The control unit automatically processes operational data to identify abnormalities, eliminating the time-consuming manual verification process while maintaining or improving detection accuracy through continuous automated monitoring
Solution Approach 2:
The system performs preliminary detection of abnormality signs continuously during operation, so that when an actual abnormality occurs, it is already identified and can be addressed immediately. This preliminary automated detection eliminates the need for time-consuming manual inspection and investigation processes
Data Source
AI summary
This maintenance assistance method detects a sign of abnormality of a power storage element on the basis of measurement data pertaining to the power storage element, which is sequentially stored in a storage device, determines at least any among a work period of a maintenance work corresponding to the detected sign of abnormality, the number of workers, and an article including a replacement or a tool required for the maintenance work, and notifies the workers of the maintenance work of execution of the maintenance work corresponding to the determined item.