Method and related devices for acquiring features of pavements

Abstract

The invention discloses a method for acquiring features of pavements. The method includes carrying out training processing on constructed initial fuzzy neural networks by the aid of historical pavement condition data to obtain target fuzzy neural networks; carrying out analysis processing on sensor information to obtain actual pavement condition data; carrying out computation processing on the actual pavement condition data by the aid of the target fuzzy neural networks to obtain preset quantities of pavement feature possible values; determining the features of the pavements according to all the pavement feature possible values. The invention further discloses a system, a server and a computer readable storage medium for acquiring the features of the pavements. The method, the system, theserver and the computer readable storage medium have the advantages that the features of the pavements can be judged by the aid of the fuzzy neural networks, accordingly, the pavement feature acquisition accuracy can be improved, and the problem of inaccuracy due to the fact that judgment is directly carried out by the aid of sensor data can be solved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a road surface feature acquisition method, a road surface feature acquisition system, a server, and a computer-readable storage medium. Background technique [0002] With the continuous development of information technology, Internet technology and Internet of Things technology have brought great convenience to people's lives. Among them, in terms of logistics, the running data of the vehicle is collected in real time from the vehicle, and the feature calculation is sent to the cloud through the network to determine which road the vehicle is driving on. The road condition characteristics are sent to the driver or saved in the logistics database for subsequent vehicle speed optimization. [0003] However, in the prior art, the sensor information in the running of the vehicle is directly judged, that is, the data obtained by the height sensor can only show that th...

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Problems solved by technology

[0003] However, in the prior art, the sensor information in the running of the vehicle is directly judged, that is, the data obtained by the height sensor can only be obtained when the road surface is bumpy at this time, and the specific analysis shows that the characteristics of the road surface at this time are How, that is, to judge directly through sensor data, the judgment process is not intuitive enough

It cannot be used as effective road condition information in actual situations, making road condition judgment inefficient and useless

In another prior art, a recognition system using a camera and a corresponding analytical algorithm has a relatively single parameter, and a single parameter cannot continue to judge road characteristics in a complex road environment. low degree

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