Fully leveraging AI, Internet of Things (IoT), and visualization technologies, this solution builds a full-process supervision system covering breeding, transportation and slaughtering. It develops exclusive applications such as live asset inventory and animal body temperature monitoring to assist standardized breeding management. Meanwhile, the constructed biosafety control system helps breeding enterprises establish a sound biosafety management system, implement feeding management regulations including closed breeding and all-in/all-out production mode. It is of great significance for strengthening government supervision and ensuring the healthy development of enterprises and the local breeding industry.
AI technology is adopted to automatically count the number of livestock on hand and slaughtered livestock. This reduces corporate resource input and lowers the risk of cross-infection of diseases. In addition, it enables the government to keep real-time track of local pork inventory changes and stabilize the market supply.
Combining vehicle-mounted devices, AI and positioning technology, the solution supervises the driving behavior and operation compliance of transportation vehicles within the jurisdiction. It ensures that vehicles entering and leaving breeding farms as well as harmless treatment vehicles follow standardized procedures strictly. This safeguards the production safety of breeding farms, reduces the risks of virus cross-transmission and outflow of defective products, and improves the supervision capacity of breeding enterprises and local governments.
Based on the five core management dimensions of personnel, vehicles, materials, livestock and perimeter protection, the solution uses AIoT technology to build five major biosafety defense lines. It covers multiple scenarios including disinfection stations, isolation areas and breeding houses, ensuring all regulated objects entering and leaving the farm undergo standardized disinfection and unified management, so as to guarantee the safety of the entire production chain.