Real-time flame monitoring system and method based on Internet of Things distributed architecture

Abstract

The invention discloses a real-time flame monitoring system and method based on an Internet of Things distributed architecture, and belongs to the technical field of fire-fighting Internet of Things and artificial intelligence algorithm research and application. The system comprises a plurality of intranet subsystems, a data processing center and a client. Intelligent identification of a flame target in the current monitoring environment can be realized, automatic alarm can be achieved in the early stage of fire, and the fire situation is visualized; when a fire is detected, alarm signals including text information and acousto-optic information can be generated immediately, fire alarm information and fire scene pictures are uploaded to a cloud server, the cloud server pushes the alarm information to a mobile phone terminal of a user, and the mobile phone terminal reminds the user in a ringing mode after receiving the pushed alarm information; and a deep learning algorithm realizes early-stage fire alarm processing, the reliability and instantaneity of fire alarm are improved, and s the fire-fighting management cost is reduced by through cloud remote communication.

Description

technical field [0001] The present invention relates to the field of fire-fighting Internet of Things and artificial intelligence algorithm research and application technology, and more specifically, to a real-time flame monitoring system and method based on the distributed architecture of the Internet of Things. Background technique [0002] The automatic fire alarm system is composed of a trigger device, a fire alarm device, a linkage output device and other auxiliary function devices. The electric signal is transmitted to the fire alarm controller, and at the same time, the entire floor is notified to evacuate in the form of sound or light. The controller records the location and time of the fire, so that people can find the fire in time and take effective measures in time to extinguish the initial fire. , minimizing the loss of life and property caused by fire, is a powerful tool for people to fight against fire. [0003] Patent Publication No. CN109493561A discloses a ...

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Problems solved by technology

[0005] The system integrates algorithm analysis, database, sound and light alarm module, visualization module, GPS positioning system and other business-related logic into one service platform, which belongs to single-point deployment. If the machine fails, the data cannot be backed up in time, and there are potential safety hazards and It is difficult to retrospectively obtain evidence afterwards;

[0006] The platform side is responsible for the real-time processing of multi-channel monitoring equipment video, which requires high computing resources of the server, and requires the use of GPU servers with high computing performance, which is expensive and is not conducive to the promotion of actual engineering applications;

[0007] The system architecture belongs to the same intranet deployment, which cannot provide equipment management and fire data cloud backup, and cannot provide professional data analysis to fire management agencies;

[0008] The fire analysis algorithm is implemented by comparing the current real-time video frame with the pre-stored fire pictures in the database. This algorithm has a weak ability to adapt to the environment, and has a high judgment rate for application scenarios that are different from the pre-stored fire pictures. adaptive

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