System and method for flame detection based on Shandong Jinan

Abstract

The invention discloses a flame detection system based on Shandong Jinan. The system comprises a video acquisition module used for acquiring smoke and fire videos in a fire scene in Jinan, and a videoscreening module used for screening and marking smoke and fire sample videos acquired by the video acquisition module and then forming a sample library, an image model module used for carrying out sample training on each screening result of the video screening module and then obtaining a smoke and fire image model, and a smoke and fire detection module and a database which are used for comparingthe smoke and fire image model with the smoke and fire image model in the database to carry out smoke and fire detection. The system is provided with the video acquisition module, the video screeningmodule, the image model module, the smoke and fire detection module and the database. The video acquired on site can be compared and analyzed with the video in the original database, a conclusion is rapidly obtained and recorded, the recording efficiency and accuracy are improved, and errors generated manually are reduced so as to solve the problems in the prior art.

Description

technical field [0001] The invention relates to the technical field of fire protection, in particular to a system and method for flame detection based on Jinan, Shandong. Background technique [0002] In the existing fire scene, the flames caused by different combustibles are different from the fire scene, and ordinary visible light cannot represent the characteristics of all flame combustion spectra. Rescuers need to report the details of the fire at the workstation after the firefighting work at the fire site to determine the cause of the fire and the collection of the main burning objects. The existing pyrotechnic detection method manually judges the cause of the fire. Situation analysis requires manual learning to accumulate experience, and the previous cases of pyrotechnic detection cannot be effectively used. The judgment process is complicated and takes a long time. It relies on the work experience of the staff, and the efficiency is low. The cause of the fire and th...

AI Technical Summary

Problems solved by technology

[0002] In the existing fire scene, the flames caused by different combustibles are different from the fire scene, and ordinary visible light cannot represent the characteristics of the combustion spectrum of all flames

Rescuers need to report the details of the fire at the workstation after the firefighting work at the fire site to determine the cause of the fire and the collection of the main burning objects. The existing pyrotechnic detection method manually judges the cause of the fire. Situation analysis requires manual learning to accumulate experience, and the previous cases of pyrotechnic detection cannot be effectively used, the judgment process is complicated and takes a long time to judge the process, relying on the work experience of the staff, the efficiency is low

The cause of the fire and the burning material cannot be well recorded

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