## 4 Results
### Riod's On-Site Operation Status  
In order to verify the previous method and model, the most recent temperature observation data was selected. The data collection date is from 24 February 2020, to 29 July 2020, with a total of 953 temperature data (collect once every four hours). After training the prediction with short-term data, the five test set data are put together for comparison, as shown in Figure 14.  
The evaluation parameters of each model including RMSE, MAE, U1, and U2 are shown in Figure 15:  
Figure 14: The test set performance of five prediction models for temperature prediction.  
Figure 13: Predictions of 24 data after the training set.  
It can be seen from the test set that due to the reduction in sample size, the relevant evaluation indicators have become worse than before. However, it is still in the same order of magnitude, and the two indicators of Bi LSTM are the lowest. Therefore, when using the prediction algorithm, the algorithm is still used to predict the temperature.  
The most important indicators for evaluating the state of the system are cabin temperature, sensor collection rate, and data storage capacity. By monitoring the status of the ground observation cabin and the temperature data obtained in the cabin every day, it is most appropriate to get the sensor host at an ambient temperature of \(-10\) to \(0\)\({}^{\circ}\)C, which can ensure the operation of the all-sky imaging sensor in the polar night. There is a small amount of frost on the dome cover of the all-sky imager, which does not affect the auroral observation. As shown in Figure 16.  
The sealing time for the surface observation module is 31 January 2020. No one has entered since then, and the subsequent operating state is unattended. It can be seen that the temperature maintained by the internal ambient temperature sensor during the unattended process is between 0 and \(-10\)\({}^{\circ}\)C. Due to the personnel activities during the initial installation of the main engine, a high-power 3000 W electric heater was installed in the cabin, so the temperature reached \(20\)\({}^{\circ}\)C. After entering the polar night, the internal monitoring images we observed after entering the polar night in April 2020 are shown in Figure 16. It can be seen that the observation cabin cover has less frost and does not affect the auroral observation. Moreover, the file storage and file information form show that all the sensors are working correctly.  
The on-site implementation plan follows three principles:  
1. The design needs to ensure the quality of the observation data of the complex sensor network.  
Figure 16: Cabin operation status comparison before and after adopting the strategy.  
Figure 15: The test set performance of five prediction models for temperature prediction.  
Under the premise of guaranteeing observation, the energy system and control system need to operate stably.
3. It is necessary to ensure that the surrounding environment is not polluted and damaged.  
According to these three basic principles, the site layout of the main building was carried out on December 20, 2019. The entire system is divided into the surface control communication observation part, the underground energy part, and the surface new energy power generation part. Because the underground part has been landfilled, it is impossible to see the whole from the perspective of aerial photography. Figure 17 shows the aerial photography of the entire camp before the evacuation of personnel. In the figure, the underground energy control section is marked. The small picture shows the photos taken while laying the underground energy section. The position of the photovoltaic panel in the image and the direction of the surface cabin are placed according to the minimum contact surface of the annual average wind direction. This way can reduce heat loss, and the elevated box can prevent the accumulation of snow.