Combine harvester remote monitoring system based on multi-source information fusion

Combine harvesters are prone to blockage, belt burnout and maintenance problems due to their complex transmission structure and variable operating environment. Therefore, a remote monitoring system of combine harvesters based on multi-source information fusion was designed, which could not only realize effective monitoring of combine harvesters, but also realize the functions of fault diagnosis and remote dispatching guidance. By analyzing the working principle and fault mechanism of combine harvester, a fault diagnosis algorithm based on speed fusion index, component slip rate and adaptive threshold discrimination was proposed. Users could obtain the real-time operation status and fault records of the combine harvester anytime and anywhere through the browser. The performance of the combine harvester remote monitoring system was verified through simulation tests and indoor tests. The test results showed that the system met the requirements of combine harvester remote monitoring, and the accurate recognition rate of combine harvester working condition is 97.46%, which has the advantages of high judgment accuracy, fast recognition speed and robustness.

Automated summary

This study presents a remote monitoring system for combine harvesters based on multi-source information fusion, which can effectively monitor, diagnose faults, and provide remote dispatching guidance.