Abstract: In recent years, hazardous waste environmental crimes have been characterized by varied crime methods, strong concealment of crime sites, wide distribution of activities and serious pollution consequences. Promptly detecting and efficiently handling clues of illegal hazardous waste activities have become major challenges for environmental law enforcement in current situation. This study, in the context of an information-based management model, proposes an intelligent identification technology framework for detecting hazardous waste environmental illegal activities. This framework is based on the integration of multi-source data, and aims to improve the detection and processing efficiency of environmental violations by constructing a multi-source database index system, developing key technologies for multi-source heterogeneous data integration and pre-processing, establishing an early warning model for hazardous waste environmental violations, and formulating early warning rules and confirmation mechanisms. Finally, with regard to cross-departmental collaborative law enforcement, some suggestions are put forward to clarify the rules for the transmission of illegal activity clues, unify the data processing and application standards, and establish a cross-departmental data sharing mechanism. These measures aim to accurately crack down on the illegal and criminal acts involving hazardous waste and improve the efficiency of ecological environment law enforcement of hazardous waste.