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For the purpose of improving the environmental monitoring and data anomaly detection capabilities of the vacuum thermal environment simulation system, a GIS-based deep space detector vacuum thermal environment simulation test system is designed. The hardware part uses GIS technology to monitor the relevant attributes, spaces and defects in the vacuum environment, develops visual statistical analysis based on the monitoring information, designs the vacuum pumping system, environmental monitoring system and external heat flow simulation system respectively, and manipulates the data through the early warning feedback mechanism Attributes, the software part uses the adaptive PID control algorithm to control the temperature change of the infrared heating cage with high precision, and combines the vacuum container, vacuum pumping system, and external heat flow simulation system to complete the design of the vacuum thermal environment simulation test system for the deep space detector. The experimental results show that the ultimate vacuum of the test system is 3.3×10-5Pa, and the liquid nitrogen flow rate range of each branch pipe is 0.26～0.40m/s. It has good flow distribution uniformity, and the heating zone is irradiated by heat flow at high and low temperatures. The densities are 586W/m2 and 27W/m2 respectively, the detection accuracy rate of environmental defect data is as high as 98.73%, and all indicators meet the design requirements.