Method and computer-readable storage medium for reducing vehicle loading error

Abstract

The invention provides a method and a computer-readable storage medium for reducing vehicle loading errors, comprising: establishing a mapping relationship between the value of the strain gauge and the weight of a standard weight; and filtering the value of the strain gauge by using a Butterworth low-pass filter , to obtain the value of the strain gauge after the first filter; the value of the strain gauge after the first filter is subjected to empirical mode decomposition to reconstruct the signal to obtain the value of the strain gauge after the second filter; use wavelet transform to extract The eigenvector of the time series weight data; the eigenvector is input into the multi-category support vector classifier model, and the vehicle running state is identified; the vehicle is output in real time according to the vehicle running state and the value of the strain gauge after the second filtering weight. Effectively eliminates the error brought by the external environment to the strain gauge, makes the weighing result more accurate, and obtains a real and stable vehicle load.

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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