Potato harvester fault diagnosis system and method

Abstract

The invention discloses a potato harvester fault diagnosis system and method. The system comprises a control module, a fault positioning module, a sensing fault detection module, an instrument communication module, an engine ECU and a hydraulic execution module, wherein the sensing fault detection module collects sensing data when a potato harvester works and transmits the sensing data to the control module, a pre-programmed program algorithm and a database for storing data are stored in the control module, the control module operates an internal program algorithm to send an instruction to control other modules to work and receive data sent by other working modules, and the database establishes a fault tree model according to the experience fault information of the potato harvester. The invention belongs to the technical field of agricultural machinery fault processing. The potato harvester fault diagnosis system is for automatically detecting faults of the harvester in the potato harvesting process and in particular whether an automatic ridge aligning function and an automatic depth trapping function of the harvester have faults or not.

Description

technical field [0001] The invention belongs to the technical field of agricultural machinery failure treatment, and specifically refers to a potato harvester failure diagnosis system and method. Background technique [0002] With the development of national intelligent agricultural machinery technology, the number of intelligent equipment on agricultural machinery equipment is gradually increasing, and various intelligent functions of agricultural machinery are increasing. Therefore, in the process of design and manufacturing, various electrical wiring harnesses of agricultural machinery are becoming more and more complicated. . In terms of potato intelligent harvesting, domestic potato harvesters use a tractor plus harvesting equipment for harvesting operations. In this operation mode, the equipment and the walking tractor are two relatively independent mechanisms, and the occurrence of faults is divided into tractor Its own electrical and hydraulic failures and equipment...

AI Technical Summary

Problems solved by technology

[0003] The current harvesters mainly have problems such as low overall reliability, difficulty in improving operating efficiency, and high maintenance costs of the whole machine; and the main reasons for these problems are objectively the complex structure of the harvester itself, many spare parts and its harsh operating environment; But more importantly, subjectively, the intelligent monitoring and fault diagnosis technology is backward. It cannot be predicted and effectively maintained before the fault, and the source and cause of the fault cannot be accurately judged after the fault.

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