Vehicle fire accident detection and alarm system based on edge calculation for automobile data recorder

Abstract

The invention discloses a vehicle fire accident detection and alarm system based on edge calculation for an automobile data recorder, wherein the system comprises the following steps: The automobile data recorder shoots video original data in real time, and transmits the video original data to a vehicle-mounted terminal system through vehicle-mounted WiFi; local edge computing software or equipment is deployed in the vehicle-mounted terminal system, and the local edge computing software or equipment performs judgment; if it is judged that a suspected vehicle fire accident occurs according to the result, related sequence video data are transmitted to an edge computing management center in the vehicle-mounted system; related data analysis results are sent to a cloud server; the cloud serverreceives alarm information and the video data from the edge computing management center, and sends the related information and data to an intelligent alarm system operation center; and the intelligentalarm system operation center pushes the related alarm information to a corresponding traffic management department for alarm processing. According to the invention, a vehicle fire accident can be detected in a road monitoring blind area and an alarm can be given in time, so that the defect of fixed monitoring is overcome.

Description

technical field [0001] The invention relates to the technical field of driving record assistance, in particular to a vehicle fire accident detection and alarm system based on edge computing for driving recorders. Background technique [0002] The cloud computing platform provides a large amount of data resources for vehicle services, and gets rid of the limitations of the vehicle in computing, storage, and resources. challenge. The traditional cloud computing model is centralized, and its functions are realized by many high-performance servers. Cloud computing platforms are mainly deployed in data centers far away from users. During the driving process of the vehicle, the primary problem faced by the transmission of data to the cloud computing platform is the high transmission delay problem, and with the increasing trend of the number of vehicle-mounted devices and mobile terminals, a large amount of data transmission is bound to cause huge damage to the cloud computing pla...

AI Technical Summary

Problems solved by technology

During the driving process of the vehicle, the primary problem faced by the transmission of data to the cloud computing platform is the high transmission delay problem, and with the increasing trend of the number of vehicle-mounted devices and mobile terminals, a large amount of data transmission is bound to cause huge damage to the cloud computing platform. Therefore, the stability of computing and processing by the cloud computing platform cannot be effectively guaranteed, and due to the complexity and diversity of various data transmissions, the lack of sufficient data transmission encryption protocols, resulting in data transmission between the on-board equipment and the cloud computing platform The safety of the

For example: the transmission of a large amount of video data required by the real-time detection function of driving video will cause huge traffic loss, which will undoubtedly greatly increase the cost requirements of real-time detection

[0003] To sum up, the data transmission and processing capabilities of cloud computing cannot effectively meet the functions of driving video transmission and real-time detection, including practical application requirements in terms of detection response speed, cost realization, and transmission reliability and security.

[0004] The traditional fixed monitoring is deployed at a fixed position on the road, and the monitoring range is limited by its equipment, so it cannot effectively and comprehensively monitor the dangerous conditions of the road

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