Method for reducing vehicle load error and computer readable storage medium

Abstract

The invention provides a method for reducing a vehicle load error and a computer readable storage medium. The method comprises the following steps: establishing a mapping relationship between a numerical value of a strain gauge and the weight of a standard weight; filtering the numerical value of the strain gauge by adopting a Butterworth low-pass filter to obtain the numerical value of the straingauge after the first filtering; performing empirical mode decomposition on the numerical value of the strain gauge after the first filtering to reconstruct a signal to obtain the numerical value ofthe strain gauge after the second filtering; extracting a feature vector of the time sequence weight data by utilizing wavelet transform; inputting the feature vector into a multi-classification support vector classifier model, and identifying the running state of the vehicle; and outputting the weight of the vehicle in real time according to the running state of the vehicle and the value of the strain gauge after the secondary filtering. Errors brought to the strain gauges by the external environment are effectively eliminated, so that the weighing result is more accurate, and the real and stable vehicle load is obtained.

Description

technical field [0001] The invention relates to the technical field of vehicle loading, in particular to a method for reducing vehicle loading errors and a computer-readable storage medium. Background technique [0002] According to the 44th "Statistical Report on Internet Development in China" released by China Internet Network Information Center (CNNIC) in Beijing, the number of online shopping users in China has reached 639 million. In 2018, China's express delivery business volume reached 50.71 billion pieces. According to industry forecasts, the express delivery business will exceed 60 billion pieces in 2019, which will put a lot of pressure on express delivery. The load capacity of express vehicles is now mainly measured by weighbridges. Weighing during the peak logistics period will undoubtedly cause a backlog of express delivery. With the acceleration of 5G, big data, and intelligence, the realization of intelligent dispatch of express vehicles will greatly improve ...

AI Technical Summary

Problems solved by technology

However, the dynamic weighing applied to the express vehicle has the following disadvantages: the express vehicle requires the courier to load and unload the goods frequently, and the weight of the courier and the process of carrying the goods bring a large error to the strain gauge; the express vehicle is running or not. During the process of turning off the engine and loading the goods, the high-frequency error of the strain gauge is caused by the high-frequency vibration of the car body

[0004] In the prior art, there is a lack of an effective method for reducing the vehicle load error and a computer-readable storage medium

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