Research on the anti-interference identification mechanism of physical evidence traces in complex fire scene of gas explosion
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Abstract
Gas explosion fire scenes present a complex physicochemical environment with superimposed thermal, pressure, and electromagnetic fields. Physical evidence is easily affected by high-temperature carbonization, impact deformation, and multi-source interference, making identification extremely difficult. This paper systematically analyzes the characteristics of the fire scene environment and the types of traces, detailing the complex damage, secondary pollution, and shortcomings of traditional techniques. Furthermore, it proposes a systematic anti-interference identification mechanism from four aspects: multimodal detection technology integration, intelligent anti-interference algorithms, standardized on-site operation procedures, and multi-departmental collaboration. Utilizing engineering and science technologies such as GC-MS, CT scanning, CNN, and GAN, this mechanism improves the accuracy of gas explosion evidence identification, providing effective technical support for the scientific investigation and judicial determination of energy safety accidents.
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