Abstract: In order to improve the quality of pig breeding environment and behavior recognition rate, and overcome the problems of low recognition efficiency, poor accuracy, and high labor intensity in large-scale breeding using manual inspection of abnormal behavior characteristics of live pigs and monitoring of breeding environment parameters, an intelligent monitoring system for pig health breeding based on the orbital robot was designed. The system consisted of an FPGA controller as the hardware core, combined with pig body surface characteristics and environmental sensing sensor, intelligent control, image processing, and wireless communication technology to construct a panoramic and local two-level linkage monitoring platform for abnormal behavior and abnormal environment of pigs. The omnidirectional observation, identification, and data collection functions of abnormal pig behavior and environmental parameters improved the intelligent management level of the pig breeding process. The experimental results showed that the system can automatically and quickly collect the growth, behavior characteristics, and breeding environment information of individual pigs in the selected pig house according to the preset instructions. The abnormal behavior recognition rate reached 93.5%, and the parking positioning accuracy error was ±12 mm. The research was conducive for technical personnel to quickly and accurately obtain information about the growth environment and health status of pigs and provide a scientific basis for timely regulation of abnormal environments, rapid diagnosis of abnormal behaviors, disease prevention, and early warning of pigs.