Combine harvester remote fault diagnosis system based on Internet of Things and mobile phone

Abstract

The invention discloses a combine harvester remote fault diagnosis system based on the Internet of Things and a mobile phone. The combine harvester remote fault diagnosis system comprises a microprocessor, a data acquisition system, a fault diagnosis system, a cloud platform communication module and a mobile phone client. The microprocessor is connected with the data acquisition system, the faultdiagnosis system and the cloud platform communication module. The data acquisition system acquires important working parameters of the combine harvester. The fault diagnosis system is used for calculating and analyzing important working parameters acquired by the data acquisition system and obtaining corresponding diagnosis result data, the microprocessor is used for sending the diagnosis result data to the cloud platform communication module, and the mobile phone client is connected with the cloud platform communication module and can receive the diagnosis result data. The defects of limitednumber, immovability, low information sharing degree and independent segmentation of real-time monitoring and fault diagnosis of the existing combine harvester remote detection terminals are overcome.

Description

technical field [0001] The invention relates to the field of a remote fault diagnosis system for the working state of agricultural machinery such as a combine harvester, in particular to a remote fault diagnosis system for a combine harvester based on the Internet of Things and a mobile phone. Background technique [0002] At present, the working environment of the combine harvester is harsh and the working conditions are complicated. It is difficult for the driver to distinguish whether the operation sound of each part of the harvester is abnormal or not. Therefore, in recent years, there are many monitoring and control systems for the working state of the combine harvester. The frequent failure parts of the combine harvester are mostly headers, conveying troughs, threshing drums, grain transportation augers, etc., mainly due to blockage failures. The speed of forward speed will also have a very important impact on the harvester: too fast forward speed will often lead to ex...

AI Technical Summary

Problems solved by technology

[0004] Although the above two patents can realize real-time monitoring and fault diagnosis of the working status of the combine harvester, there are still problems such as limited and fixed remote monitoring terminals and low degree of information sharing.

Images