Background of the plan
Law enforcement equipment is outdated, and the original number and level of intelligence of law enforcement equipment are insufficient to support the needs of technological law enforcement. Lack of evidence collection capacity for illegal activities, wide coverage of the transportation industry, hidden illegal phenomena, and insufficient intelligent terminal equipment lead to insufficient evidence collection capacity. The support for data analysis is weak, and the application of big data analysis in data flow, business flow, and management flow is insufficient. Deep level mining and analysis have not been carried out for transportation data. The data sharing mechanism needs to be improved, and a comprehensive information resource exchange and sharing system has not yet been formed. The problem of fragmented industry basic information is more prominent.
Content of the plan
Through technologies such as artificial intelligence and big data, common and key illegal behaviors in law enforcement fields such as transportation, road, and water can be identified and judged, providing accurate illegal intelligence information for law enforcement personnel.
Improve the scope of various off-site law enforcement monitoring, achieve integrated monitoring of the distribution of cases, duty personnel, and field collection equipment resources on a single map, and promptly detect and respond to illegal events.
Configure intelligent law enforcement equipment for field operations, receive real-time vehicle warnings recognized by surrounding field equipment, intuitively track vehicle trajectories, grasp the distribution of law enforcement forces, and achieve precise strikes.
To achieve intelligent and standardized evidence collection for businesses applicable to off-site law enforcement, promote the construction of off-site law enforcement models, and improve law enforcement efficiency.
Advantages of the plan
1.Based on external perception data, transportation permit data, industry management data, and vehicle dynamic data, achieve the analysis, identification, and early warning of various illegal behaviors, provide intelligence information for law enforcement personnel, and assist law enforcement personnel in carrying out accurate and efficient law enforcement.
2.Based on non-stop detection point data and truck satellite positioning data, artificial intelligence and big data are used to analyze the abnormal behavior of oversized trucks blocking license plates and detours, and trace the source to assist law enforcement personnel in systematically managing oversized behaviors.
