Battery Production Status Prediction for Abnormality Detection
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Solution Overview
Problem
Current battery production processes face challenges in accurately and timely detecting abnormal production statuses, leading to reduced stability, qualification rates, and production efficiency.
Innovation Solution
A method and apparatus for battery production control that acquire monitoring data, predict next battery production status, compare with threshold data, and determine production status, enabling timely detection and correction of abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual checking is used to detect battery production status, then operational simplicity is maintained, but detection accuracy and timeliness deteriorate
Solution Approach 1:
The patent replaces the manual mechanical checking system with an automated vision detection system. The vision system uses cameras and image processing algorithms to automatically capture and analyze battery production status, eliminating human intervention while significantly improving detection accuracy and timeliness. This substitution transforms the detection mechanism from manual observation to automated optical sensing and computational analysis.
Solution Approach 2:
The patent introduces an automated detection system as an intermediary between the production process and quality control decisions. This intermediary system continuously monitors production parameters, captures images of batteries during manufacturing, and provides real-time feedback without requiring manual inspection. The intermediary automates the detection function while maintaining operational simplicity through centralized control.
2Device complexity
If manual checking is used to detect battery production status, then system complexity is reduced, but production efficiency deteriorates
Solution Approach 1:
The patent implements continuous automated detection throughout the battery production process. Instead of periodic manual checks that interrupt production flow, the vision system operates continuously to monitor every battery as it passes through manufacturing stages. This continuous detection eliminates downtime associated with manual inspection while maintaining relatively simple system architecture through modular camera stations positioned along the production line.
Solution Approach 2:
The patent performs preliminary detection of potential defects during the production process itself, rather than waiting for final manual inspection. The vision system identifies anomalies early in manufacturing, allowing for immediate corrective action before defects propagate through the production line. This preliminary detection approach improves efficiency by preventing rework and scrap while keeping the detection system manageable through targeted monitoring at critical process points.
Data Source
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AI summary
Embodiments of the present disclosure provide a method and a device for battery production, and an electronic device and a storage medium, the method may include: acquiring monitoring data corresponding respectively to a plurality of batteries in a target time period in a battery production process; determining prediction data corresponding to the next battery, based on the monitoring data corresponding respectively to the plurality of batteries; comparing the prediction data with threshold data corresponding to the battery production process to obtain a comparison result; and determining a battery production status corresponding to the battery production process based on the comparison result.