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In order to solve the problems of large-scale pig house, such as high labor intensity, repeated operations and severe epidemic situation, a pig house disinfection and sterilization inspection and environmental monitoring systemwas designed.The system integrated the 2D LiDAR based simultaneous localization and mapping (SLAM) and ultra wide band (UWB) technologies to realize the building of in-house map and real-time positioning of the system. On the basis of determining the installation height of the thermal infrared module to be 125cm and the horizontal downward angle of the installation inclination to be 5°, the Jetson Xavier NX edge computing unit was used to deploy vision processing and recognition algorithms to conduct online inspections of pig body temperature. The edge computing unit was used to intelligently control the atomization module and the ultraviolet module in the disinfection module according to the terminal instructions and the information of the micro-environment in the house, so as to realize the multi-mode disinfection of the indoor environment. The sensor technology was used to monitor the environmental parameters in the house in real time. Human-computer interaction interface was built to realize the display, alarm and storage of monitoring information. The test results showed that the system can complete map construction, automatic navigation, pig body temperature detection, and record abnormal pig thermal infrared pictures and the location of the enclosure. According to the set disinfection and sterilization mode, the accuracy of completing the corresponding disinfection and sterilization function at the target point was 100%. The relative errors of CO2 concentration, temperature and humidity in the room were 0.04%, 3.00% and 2.10% respectively in the inspection state and static state of the robot. The research result can provide technical equipment reference for the less-humanized/unmanned operation of inspection and disinfection of pig houses during the epidemic situation.