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Research On Real-time Monitoring System Of Vehicle Running Status Based On Internet Of Vehicles

Posted on:2021-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:M D LiuFull Text:PDF
GTID:2492306470481054Subject:Power Engineering
Abstract/Summary:PDF Full Text Request
With the increasing number of vehicles,my country’s road traffic jams,accidents,and exhaust pollution are becoming more and more serious.The rapid development of intelligent transportation systems and Internet of Vehicles technology has guaranteed people’s travel quality and travel safety to a certain extent.The thesis collects vehicle and road information based on vehicle-mounted equipment,and realizes the function of real-time monitoring of vehicle running status through the front-end web user page.The data collection part of the vehicle real-time monitoring system based on Internet of Vehicles research and design in this paper includes: OBD information collection module,positioning information collection module,lane departure information collection module and laser ranging module.The data collection part and the server back-end processing part use TCP/IP protocol and Web Socket protocol to realize the connection,and transmit the data of the data collection part to the server back-end for processing.The back-end processing part of the server realizes the registration,login and verification of the client,and analyzes and stores the data sent from the data collection part of the system to the My SQL database,calls the algorithm to judge the vehicle operating status,and pushes the data to the front-end web user page..The K-means clustering algorithm improved by genetic algorithm is used to judge the running status of vehicles.Completed the design of the criterion function and genetic operation,classified some of the existing data sets in the database using improved algorithms to classify the data sets into "safe state" and "unsafe state" data subsets,and obtained the best data subsets Clustering center.When the back-end processing part of the server receives the new data,it then uses the K-means clustering algorithm to classify the new data into different subsets to realize the evaluation of the vehicle’s operating status.The front-end web user interface uses the data processed by the back-end of the server,and uses the high-definition map Java Script API and the High Chart dynamic chart library to realize vehicle positioning,path tracking,monitoring the vehicle’s operating status,and obtaining early warning information.At the end of the thesis,the data acquisition equipment is installed on the vehicle to verify the functions of the real-time monitoring system of the vehicle’s running status.Experiments show that the data collection part of the system can send positioning information,vehicle operation information and other data to the server back-end in real time;the server back-end processing part realizes the operations of receiving,analyzing,storing and pushing data;front-end web users The page can realize the data visualization according to the design requirements.
Keywords/Search Tags:Internet of Vehicles, monitoring, data analysis, server
PDF Full Text Request
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