Tractor manufacturing process quality data intelligent analysis processing system

Abstract

The invention discloses an intelligent analysis and processing system for quality data in a tractor manufacturing process. The system is mainly formed by connecting a tractor manufacturing process quality data electronization module and a tractor manufacturing process debugging stage quality analysis module. The tractor manufacturing process quality data electronization module is used for acquiring tractor manufacturing process quality data and establishing a tractor manufacturing process quality database, and the tractor manufacturing process debugging stage quality analysis module is used for performing fault diagnosis and intelligent tractor quality analysis in the debugging stage of the tractor manufacturing process. According to the invention, a data basis is provided for manufacturing process quality evaluation; the dependence on the subjective experience of personnel during fault diagnosis is reduced; the learning cost of tractor quality data analysis by using a machine learning method is reduced, and an effective means is provided for effective utilization of quality data and tractor product quality evaluation.

Description

technical field [0001] The invention relates to a tractor quality intelligent analysis and processing system in the field of mechanical manufacturing process quality analysis, in particular to an intelligent analysis and processing system for tractor manufacturing process quality data. Background technique [0002] Agricultural machinery is the embodiment of agricultural productivity, but the problems of low reliability and quality of agricultural machinery products in my country and short trouble-free operation time are prominent, which restricts the development of agricultural modernization in my country to a certain extent. Further strengthening the quality control of agricultural machinery manufacturing and improving the manufacturing quality of agricultural machinery products is the only way to improve the level of agricultural mechanization and agricultural production efficiency in my country. With the rapid improvement of the digital level of the manufacturing industr...

AI Technical Summary

Problems solved by technology

[0003] Manufacturing equipment in the domestic agricultural machinery industry is still and will be in a state of coexistence of old and new manufacturing equipment for a long time, the degree of digitization of quality information in the manufacturing process is low, paper data and electronic data coexist, and it is difficult to integrate and analyze multi-source heterogeneous data generated by different manufacturing processes and manufacturing equipment; Debugging faults in the agricultural machinery manufacturing process mainly rely on the staff’s subjective experience for diagnosis, which requires high technical level of staff and high diagnosis error rate; in the face of massive high-dimensional manufacturing process quality data, it is difficult to fully extract effective data by relying on traditional data analysis methods. The quality evaluation information of ordinary staff using machine learning methods for data analysis and mining has a relatively high learning cost

Images