Method and system for detecting and classifying multi-component toxic gas in stamping workshop

By acquiring multi-component toxic gas concentration data from multiple detection points in the stamping workshop, filtering historical matching data segments, analyzing time-series concentration changes and component characteristics, and combining spatial weighting coefficients for weighted fusion, the problem of large deviations in detection results in existing technologies has been solved, achieving more accurate gas classification and safety management.

CN120833866AActive Publication Date: 2025-10-24SUZHOU JIRUN AUTO PARTS CO LTD
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Patent Information

Application Number
CN202511341958.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-19
Publication Date
2025-10-24
Estimated Expiration
2045-09-19

AI Technical Summary

Technical Problem

Existing methods for detecting multi-component toxic gases in stamping workshops rely on data from a single detection point, ignoring spatial differences and the use of historical data. This leads to large deviations in detection results, making it impossible to accurately classify gas components and affecting the safety and health of the production environment.

Method used

By acquiring multi-component toxic gas concentration data sequences from multiple detection points, gas data segments matching the current period are selected from historical data, time-series concentration changes are analyzed, concentration abrupt change points and time delays are determined, and weighted fusion is performed by combining component matching degree and spatial weight coefficient to generate a set of feature vectors, which are then input into a classifier for gas classification.

Benefits of technology

It enables accurate detection and classification of multi-component toxic gases in stamping workshops, improving the accuracy and reliability of detection, adapting to complex gas environments and production conditions, and supporting safety management and health protection.

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Abstract

The invention relates to the technical field of gas detection and classification, and discloses a multi-component toxic gas detection and classification method and system for a stamping workshop. The method comprises the following steps: acquiring a multi-component toxic gas concentration data sequence of a plurality of detection points in a stamping workshop space, and screening a matched gas data segment matched with gas concentration distribution characteristics in a current detection period from historical toxic gas data. Then analyzing the concentration change of the matched gas data segment in time sequence, determining a concentration mutation point and calculating time delay, and comparing the change of the concentration gradient data sequence before and after the concentration mutation point with the change of the gas component data sequence to determine the component matching degree. And determining a spatial weight coefficient by combining the time delay, the component matching degree and the concentration distribution difference, carrying out weighted fusion on the component feature vectors through the coefficient to generate a feature vector set, finally inputting the feature vector set into a classifier, and outputting a multi-component toxic gas classification result.
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Citation Information

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