Rapid identification and alarm method and system for safety events in cabin

By acquiring the internal cabin environment data and the status of electric vehicles, non-contact detection and preventive fire isolation are carried out, which solves the problem of rapid identification and targeted fire isolation of electric vehicle fire hazards during sea transportation, and improves the reliability and timeliness of cabin safety monitoring.

CN120673532APending Publication Date: 2025-09-19SHANGHAI HUIFEI AUTOMOBILE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510696473.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-28
Publication Date
2025-09-19

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Abstract

The invention provides an in-cabin safety incident rapid identification and alarm method and system, and the method comprises the steps: obtaining and analyzing environment data in a cabin, determining the distribution position information of abnormal environment factors in the cabin, and determining a cabin internal region where an electric vehicle safety incident may occur in combination with the placement state information of an electric vehicle in the cabin; the method comprises the following steps: detecting electric vehicle battery heating data corresponding to an internal area of a cabin, predicting a first fire characteristic of a fire event in the internal area of the cabin, and calibrating a fire influence area range so as to conveniently and accurately take corresponding measures for preventing fire spreading subsequently; based on the first fire characteristic, non-contact detection is carried out on the internal area of the cabin to obtain a second fire characteristic, so that preventive fire isolation processing and alarm notification processing are carried out on the internal area of the cabin, and directional fireproof isolation and alarm notification are effectively carried out on the internal area of the cabin; and the reliability and timeliness of cabin safety monitoring and dangerous case processing are improved.
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