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This invention discloses an intelligent identification method for fire traces in electric vehicles. This method intelligently identifies fire traces on three parts of the electric vehicle: its exterior, battery pack, and interior, and performs comprehensive analysis to determine the final location of the fire source. Applying this intelligent fire trace identification system to electric vehicle fire scene investigations improves the speed and accuracy of analyzing the causes of accidents and faulty battery packs, realizing intelligent fire investigation technology. This has significant research and application value for improving the efficiency of on-site investigations. Furthermore, it can be extended to other fields for comprehensive analysis of the ignition point of electric vehicle fires.

The application discloses a stamping device for lighting lamp production and belongs to the technical field of stamping equipment. The device mainly aims at the problem of low efficiency of single-station production of the existing equipment, and provides the following technical scheme. The stamping device comprises a device rack, a power unit arranged on the device rack, and a loading plate mounted at the output end of the power unit. The stamping die on the existing stamping device is additionally arranged, so that the existing single station is replaced by a double station, the rapid production of lamp parts is realized, the stamping device is avoided to be additionally arranged, the equipment cost is reduced under the condition of improving the production efficiency, the scale of the production workshop does not need to be adjusted, and a corresponding feeding mechanism is arranged, so that the double-station efficient production of lamp parts is realized, and the feeding mechanism can also perform the recoating of protective oil on the metal material, so that the abrasion of the metal material on the inner cavity of the die equipment is reduced, and the service life is ensured.