## 3 Results and Discussion
### Platform Function Test  
The platform could monitor the real-time machine operation information and display the machine operation trajectory. In the form of a table, the detailed historical working condition information of the terminal was displayed. The data changes of each monitoring point were displayed in the smallest granularity. When the server received the job data uploaded by the terminal device, it automatically analyzed the job data. It could  
Figure 8: Platform function test: (**a**) start combine harvester vehicle terminal; (**b**) data monitoring interface; (**c**) failure prediction interface; (**d**) fault diagnosis interface; (**e**) fault diagnosis interface; (**f**) job maintenance interface. automatically identify the abnormal operation status and automatically generate the fault diagnosis records. Subsequently, the administrator would comprehensively judge the real fault response of the working vehicle in combination with relevant information. The platform assigned relevant operation and maintenance personnel, arranged operation and maintenance personnel to repair the faulty vehicle, and recorded the repair results. The platform could realize the core functions of data monitoring, fault prediction, fault diagnosis, and comprehensive operation maintenance. This ensured that the combine harvester was always in the best condition, maximized production efficiency, and maintained a high quality of work. To further verify the function of the combine harvester remote operation and maintenance platform, the test was carried out according to the above platform function test steps. In October 2021, the 4 YL-5 model combine harvester produced by Wuzheng Group (Rizhao, China) was used as the test prototype to carry out the corn-crop-harvesting test. During the test, the transmission period of the vehicle terminal data was 400 ms, and the length of the data string was 182. According to the direction of the crop row, the harvesting test area was measured. The combine harvester was started, the hand throttle opening was set to an appropriate position, and the machine was operated to enter the rated harvesting state. The vehicle terminal software was started, and the \"communication\" indicator on the monitoring interface was waited on to light up. The \"location\" indicator on the monitoring interface was waited on to light up. The combine harvester was operated, which artificially created faults, such as blockage of the header, breakage of the threshing drum transmission chain, damage to the battery, etc., to test the working performance of the remote operation and maintenance platform of the combine harvester. The test results are shown in Table 1, and the field test is shown in Figure 9.  
Figure 9: Field test site. \begin{table}
\begin{tabular}{c c c c} \hline
**Category** & **Sensor Monitoring Data** & **Fault Prediction** & **Fault Diagnosis** & **Comprehensive Operation Maintenance** \\ \hline  & & **Failure level** & **Maintenance mode:** \\  & & Critical failure type: & Failure repair \\  & & Blockage of the header & **Maintenance method:** \\  & & **Possible release:** & **Repair** \\  & & **Treatment measure:** & \\  & & **Q**: The gap between the screw blade of the anger and the & (The gap between the helical blade and the header \\ the header & & & **b**: The cut drops, and the cross cannot be transported \\  & & & **b**: The cut drops, and the cross cannot be transported \\  & & & **b**: The time, which accumulates and blocks in front of the anger. \\  & & & **b**: When the blade edge is polished, it will reduce the & (The gap can be adjusted) \\  & & & **b**: When the blade edge is polished, it will reduce the & to improve its grasping and pushing capabilities.