Active air-breathing safety early warning protection system based on lithium battery environment

By adopting active aspirated detection device and information fusion technology in the lithium-ion battery storage environment, the problem of untimely detection of fire hazards during lithium-ion battery storage is solved, and more accurate and rapid fires are achieved Monitoring and early warning reduce the risk of accidents.

CN119314271AInactive Publication Date: 2025-01-14SHANGHAI WEITAN INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202411345288.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2025-01-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

During the storage process of existing lithium-ion batteries, there are untimely detection of fire hazards and low intelligence, and the inability to handle wet air and multi-sensor data fusion, resulting in insufficient comprehensiveness and accuracy of detection.

Method used

An active aspirated safety warning and protection system based on lithium battery environment was designed, including an aspirated detection device, a data analysis unit and a big data cloud platform. The multi-sensor data is processed using information fusion technology, combining temperature sensors and gas Detect sensors to realize real-time monitoring and data analysis, and provide remote monitoring and fault diagnosis through cloud computing.

Benefits of technology

It improves the accuracy and response speed of fire monitoring, enhances the intelligence of the system, can detect potential safety hazards more quickly and accurately, and reduces the probability of accidents.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an active air-breathing safety early warning protection system based on a lithium battery environment, and relates to the technical field of fire-fighting early warning, the system is composed of an air-breathing detection device, a data analysis unit, a big data cloud platform and an emergency response system, the air-breathing detection device is active, and during detection, the big data cloud platform is connected with the data analysis unit; a built-in air extractor is used for extracting and detecting air samples in the surrounding environment, the sampling range of an air suction type detection device can cover a cluster of energy storage electric boxes, and centralized fire monitoring is achieved. The comprehensive and multi-angle monitoring of the energy storage electric box and the surrounding environment thereof is realized. The multi-source data fusion mode improves the monitoring accuracy and reliability, the information fusion technology is adopted, multi-level and multi-space information complementation and optimization combination processing is carried out on data from different sensors, and the intelligent degree of the system is improved.
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Citation Information

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