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Prediction method of scrapping time of engineering machinery vehicles

A scrapping technology for construction machinery and vehicles, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as the difficulty in accurately judging usage conditions and estimating scrapping years, saving evaluation time and costs, and facilitating testing Effect

Inactive Publication Date: 2017-08-08
柳州顺联科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a method for predicting the scrapping time of construction machinery vehicles, which can conveniently obtain the status of the vehicle and effectively judge the status of the vehicle, so as to solve the problems existing in the existing methods that are difficult to accurately judge the usage status and estimate the scrapped age problem

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  • Prediction method of scrapping time of engineering machinery vehicles

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Embodiment Construction

[0015] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0016] A method for predicting the scrapping time of construction machinery vehicles, comprising the following steps:

[0017] (a) Acquire the sample data of the fit clearance of the universal joint of the vehicle drive shaft, including: sample data of different types of vehicles used at different times;

[0018] (b) Establish a finite element prediction model for the wear and tear of construction machinery vehicles based on t...

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Abstract

A prediction method of scrapping time of engineering machinery vehicles comprises the steps as follows: acquiring vehicle transmission shaft universal joint fit clearance sample data including sample data of different use time of different types of vehicles; establishing an engineering machinery vehicle use wear limited element prediction model according to the acquired sample data, and optimizing the wear model through limited element analysis, wherein a Bayes model is used for optimization, and experience information of experts and actual service life of the vehicles are added; judging used time of input universal joint fit clearances according to the wear model obtained in the last step; subtracting the used time from the years in forced scrapping regulations to obtain the predicted scrapping time. A reliable evaluation means is provided for remaining use time of the vehicles, and thus, the vehicle condition evaluation time and cost are greatly saved.

Description

technical field [0001] The invention relates to a vehicle scrapping test method, in particular to a test method for engineering machinery vehicle finite element analysis based on drive shaft testing. Background technique [0002] In recent decades, my country's automobile industry has developed rapidly, and the use of automobiles has its specific period, especially the country's mandatory scrapping period, which is a concern of many users and regulatory authorities. Construction machinery vehicles are usually used in harsh environments. Vehicles with poor conditions usually cause serious accidents to safety. Individual owners are usually unwilling to take the initiative to scrap and repair them, which often causes great danger. The management department needs a simple and reliable The evaluation method conducts accurate evaluation of construction machinery vehicles for supervision. Moreover, the recently developed second-hand car trading market needs a method to correctly a...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 梁远雄
Owner 柳州顺联科技有限公司
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