Research On Application Of Remote Monitoring Technology For Public Transport Vehicles Based On CAN Data

At present, the urban public transport vehicles using CAN bus system is the trend.Building a set of remote monitoring and controlling system based on CAN data based on CAN data, the GPS data the bus GIS,to monitor moving bus conditioning and running for a period of time the bus vehicle operating conditions, driving situation analysis, is important for improving vehicle operation safety assessment. In this paper, The technology of remote monitoring data extraction and improved on CAN data are presented. At the same time, the remote monitoring and control application of bus based on CAN data is designed and realized.Firstly, this paper analyzes and studies the application of remote monitoring and controlling of public transport vehicles based on CAN data. Then, based on the CAN data,the remote monitoring and control system of public transportation vehicles is designed,which is based on the functional analysis, the overall design and communication protocol,and the application framework of the bus vehicle remote monitoring based on CAN data is constructed. Meanwhile, based on the SQL database incremental data extraction method,data classification and linked list data structure,a data extraction technology of CAN data is proposed. Finally, the remote monitoring and controlling of the bus vehicle based on CAN data is realized and the experimental demonstration is carried out.In this paper, to develop and build the experimental environment using Visual Studio Microsoft programming tools and C++、C# language. Based on the actual data collected by vehicle CAN hardware equipment, the c# language is used to simulate sending the experimental data. Besides, the application model of vehicle monitoring system based on CAN data and the realization of the experiment are demonstrated. To validate the CAN data bus remote monitoring application of this paper, the incremental data extraction method based on CAN data of the bus vehicle remote monitoring application. Concluded the proposed has the advantages of high efficiency and effectiveness in the efficiency and accuracy of the incremental data extraction method based on CAN data.