Vehicle state real-time detection system based on edge calculation

Abstract

The invention belongs to the field of big data and artificial intelligence, and particularly relates to a vehicle state real-time detection system based on edge computing. The system comprises a dataacquisition module used for acquiring panoramic road condition data; an edge computing module, wherein a microcomputer is arranged in a vehicle cab and used for analyzing the surrounding environment and the vehicle driving state in real time; a cloud computing platform module which is used for storing surrounding environment and vehicle driving state data; and a private mobile network module whichrealizes large-scale data transmission from the vehicle to the cloud. According to the invention, the state of each networked vehicle is detected in real time, the driving condition of the vehicle isjudged, traffic road condition early warning is provided, related information of all vehicles is integrated, a huge Internet of Vehicles information platform is constructed, and state information ofall vehicles is provided, so that effective supervision and comprehensive service are carried out.

Description

technical field [0001] The invention belongs to the field of big data and artificial intelligence, and specifically relates to a real-time vehicle state detection system based on edge computing. Background technique [0002] Smart transportation is based on intelligent transportation, integrating high-tech information technologies such as the Internet of Things, cloud computing, big data, and mobile Internet, collecting traffic information through high-tech, and providing traffic information services under real-time traffic data. Through the extensive use of data processing technologies such as data models and data mining, the system, real-time, interactive information exchange and extensive services of intelligent transportation are realized. [0003] As the core component of intelligent transportation, the vehicle needs to be able to extract and effectively use the attribute information, static and dynamic information of all vehicles on the information network platform thr...

AI Technical Summary

Problems solved by technology

[0006] 1) Each vehicle needs to be equipped with multiple sensors such as cameras, laser radars, and ultrasonic radars, and the installation is complex and costly

[0007] 2) The amount of image and video data collected by the camera is large, resulting in high channel transmission delay and weak real-time detection performance

[0008] 3) There are a large number of small objects that are difficult to detect in the images collected by the camera (such as traffic lights, traffic warning signs, etc.)

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