The reporter learned from the Institute of Agricultural Quality Standards and Testing Technology of the Chinese Academy of Agricultural Sciences (hereinafter referred to as the "Quality Standards Institute") that recently, the institute successfully developed the world's first intelligent monitoring system for non-point source pollution, achieving real-time, online, and dynamic monitoring of new pollutants such as high-risk antibiotics and pesticide residues in flowing water bodies for the first time. At present, the system has been applied to demonstration projects in Haihe River, the Taihu Lake Lake and other basins. The project leader and researcher at the Quality Standards Institute, Cheng Jie, introduced that this research aims to achieve intelligent monitoring of new non-point source pollutants such as high-risk pesticides in crop cultivation and antibiotics in livestock and poultry breeding. Focusing on the technical requirements of "unmanned operation and long-term stability", innovative research is carried out in the creation of multifunctional materials, research and development of multi-target dynamic recognition technology, and development of fully automatic analysis equipment. Original and breakthrough achievements have been made in materials, technology, and equipment, and it has completely independent intellectual property rights. Through technological integration, researchers have solved key challenges such as the wide variety of pollutants, low levels, high levels of interferences, and difficulty in achieving dynamic analysis in flowing water bodies. The system achieves three breakthroughs: creating multifunctional sensing materials, developing nano composite materials with molecular recognition and signal enhancement functions, which can simultaneously capture multiple types of pollutants, and improving material stability by more than 5 times compared to traditional adsorbents; Develop multi-target dynamic recognition technology, combined with artificial intelligence algorithms, to achieve synchronous detection of 9 pesticides and 10 antibiotics in 3 categories, with detection sensitivity reaching ng/mL level and response time shortened to less than 1 minute; Integrate fully automated analysis equipment, use IoT technology to build an intelligent monitoring system, integrate automatic sampling, preprocessing, analysis and other modules, achieve continuous unmanned operation for 180 days, and reduce operation and maintenance costs by 70%. Cheng Jie stated that the system can operate stably in complex hydrological environments such as rivers, ditches, and aquaculture ponds, and can withstand extreme temperatures ranging from -20 ℃ to 50 ℃. Its anti-corrosion design makes it suitable for high salinity water areas. By uploading real-time monitoring data to the cloud platform and combining GIS technology to generate pollution heat maps, the system's warning accuracy reaches over 90%. At present, the system has been applied to the early warning and monitoring of new pollutants in the Taihu Lake Lake, Haihe River and other basins, which has significantly reduced the human cost, significantly improved the monitoring efficiency, and achieved "smart" monitoring from "smart" monitoring, providing a new idea for the intelligent monitoring of non-point source pollutants in China. (New Society)