State judgment system and method based on big data application

Abstract

The invention relates to a state judgment system and a method based on big data application. The system comprises a real-time judgment mechanism which is disposed in a vehicle and is used for judging whether the vehicle is in a crosswind-prone section or not based on the current navigation data of the vehicle; a big data application node is used for pre-storing positioning information of each crosswind-prone section, and the positioning information of each crosswind-prone section is composed of positioning data of all positions of the crosswind-prone section along the way; a framing collection part is used for starting high-frame-rate video picture collection in front of the vehicle when the vehicle is detected to enter the crosswind-prone section at present, so as to obtain each instant collection frame corresponding to each collection moment. The state judgment system and the method based on the big data application are effective in detection and timely in response. As whether the current driving environment belongs to the crosswind driving environment or not can be judged based on the moving track of the front vehicle, reference information is provided for determining the driving strategy of the vehicle.

Description

technical field [0001] The present invention relates to the field of big data applications, in particular to a state judging system and method based on big data applications. Background technique [0002] Big data refers to a collection of data that is so large that it exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. It has massive data scale, fast data flow, diverse data types, and value density. Low four characteristics. The strategic significance of big data technology lies not in mastering huge data information, but in professional processing of these meaningful data. In other words, if big data is compared to an industry, the key to achieving profitability in this industry lies in improving the "processing capability" of data and realizing the "value-added" of data through "processing". In the prior art, the crosswind is one of the important factors that cause potential safety hazards to the ve...

AI Technical Summary

Problems solved by technology

In the prior art, the crosswind is one of the important factors that cause potential safety hazards to the vehicle. The crosswind will drive the vehicle to move horizontally. It will cause safety accidents. At the same time, if the driving strategy of excessive horizontal steering against the cross wind is adopted in the cross wind state, it will also lead to accidents of tire bulge or even tire blowout.