Data processing method and device, electronic equipment and storage medium

Abstract

The invention provides a data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: sending first road condition information containing thevehicle information of the target vehicle and used for representing the road condition at the target moment to a server, so as to enable the server to determine the driving risk between vehicles in the road condition at the target moment based on the first road condition information and second road condition information containing the vehicle information of other vehicles; acquiring driving risksbetween a target vehicle and other vehicles in the road condition at the target moment based on the driving risks between the vehicles in the road condition at the target moment; based on the drivingrisk between the target vehicle and other vehicles in the road condition at the target moment, obtaining the driving risk between the target vehicle and other vehicles in the road condition at the current moment; and based on the driving risk between the target vehicle and other vehicles in the road condition at the current moment, carrying out early warning on the target vehicle in the road condition at the current moment. According to the invention, the vehicle early warning accuracy can be improved.

Description

technical field [0001] The present disclosure relates to the field of cloud IoT, in particular to a data processing method, device, electronic equipment and storage medium. Background technique [0002] With the in-depth development of Internet technology in the transportation field, it is of great application value to use cloud technology to accurately warn vehicles on the road. In the current technology, when the vehicle is given an early warning, the server is usually required to stream the collected road condition information to the vehicle end. In this process, since the traffic condition information is transmitted in a streaming manner, the traffic condition information representing the traffic condition at a specific moment will be cut into multiple parts for transmission, which leads to the gap between the traffic condition information received by the vehicle end at different times. Confusion will occur, making it impossible to accurately determine the driving risk ...

AI Technical Summary

Problems solved by technology

In this process, since the traffic condition information is transmitted in a streaming manner, the traffic condition information representing the traffic condition at a specific moment will be cut into multiple parts for transmission, which leads to the gap between the traffic condition information received by the vehicle end at different times. Confusion will occur, making it impossible to accurately determine the driving risk between vehicles, and it is impossible to accurately provide vehicle warning

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