In recent years, artificial intelligence technology has become an effective tool for reducing system complexity and risk in wastewater treatment. In this paper, the application of artificial intelligence technology in industrial park wastewater treatment is systematically analyzed, and its application in monitoring, pollutant removal, energy saving, management and wastewater reuse is summarized. The application scenarios, prediction accuracy and application limitations of typical artificial intelligence technologies are also summarized. At the same time, radioactive organic waste liquids, such as waste scintillation liquids, are stored in laboratories, posing a certain safety hazard. In this paper, the components of waste scintillator were analyzed in detail, and the properties of different waste scintillator were compared. In addition, the treatment method of waste scintillation liquid, including pretreatment and final treatment technology, is introduced, and compared with foreign advanced technology. The in-depth analysis of the composition of wastewater and waste liquid and the exploration of cutting-edge treatment technology are the important directions of current research. In the future, the further application of artificial intelligence technology will help solve problems in practical applications, including pollutant removal, cost reduction, recycling and management of wastewater and waste liquids. These efforts will have a positive impact on environmental protection and sustainable development goals.