With the development of today's society, cars are being popularized to every household, and safe driving has become a serious problem facing people. Traffic accidents caused by drunk driving and drunk driving occur frequently. In order to ensure the safety of people's lives and property, the traffic police department always maintains a high-pressure situation against serious traffic violations such as drunk driving and drunk driving. Among them, the application of alcohol detector provides strong technical support for traffic law enforcement. However, most of the alcohol detectors currently used are stand-alone versions with single functions and lack of functions such as positioning, communication, and evidence collection, it cannot be associated with traffic control platforms, etc. and it is difficult to monitor enforcement in real time. Based on the current situation, we have developed an intelligent networked wine detector. Using the Internet of Things technology, we can upload the detection data and on-site images to the wine inspection platform in real time, and cannot change and delete them artificially. We not only fix the illegal evidence but also supervise the law enforcement status of the traffic police, effectively standardize the law enforcement process, and ensure the openness, fairness and justice of law enforcement. Through the integration of big data, the analysis of the time period and location of drunk driving is conducive to the targeted arrangement of law enforcement tasks, improving the effect and efficiency, effectively deterring drunk driving behavior, reducing traffic accidents, and ensuring the lives of the people. Property safety creates a safer and more efficient travel environment for road travel participants.