Yong Xie, Xinpu Su, Yifan He, Xuhui Chen, Gengliang Cai, Baisheng Xu, Wenjia Ye
{"title":"STM32-based vehicle data acquisition system for Internet-of-Vehicles","authors":"Yong Xie, Xinpu Su, Yifan He, Xuhui Chen, Gengliang Cai, Baisheng Xu, Wenjia Ye","doi":"10.1109/ICIS.2017.7960119","DOIUrl":null,"url":null,"abstract":"As the new era of the Internet of Things(IoT) is driving the evolution of conventional Vehicle Ad-hoc Networks into the Internet of Vehicles(IoV), vehicles are equipped with different kinds of sensor and become a sensing node themselves in IoV. Consequently, complexity of the automotive electronic system inside the vehicles are daily increasing. To guarantee the safe operation of vehicles, it is of great significance to acquire vehicle data in real-time to realize the on-line diagnosis, cyber-security attacking detection and et al. In this paper, we propose to realize a STM32-based data acquisition system(DAS), where the vehicle data transferred on CAN networks are acquired through the OBD2(On-Broad Diagnosis) interface. And then, the acquired vehicle data are parsed and analyzed preliminarily according to the OBD2 protocol, and then shown on a LED displayer. Through the implementation of a prototype system, the feasibility and effectiveness of the proposed design of DAS is verified.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2017.7960119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
As the new era of the Internet of Things(IoT) is driving the evolution of conventional Vehicle Ad-hoc Networks into the Internet of Vehicles(IoV), vehicles are equipped with different kinds of sensor and become a sensing node themselves in IoV. Consequently, complexity of the automotive electronic system inside the vehicles are daily increasing. To guarantee the safe operation of vehicles, it is of great significance to acquire vehicle data in real-time to realize the on-line diagnosis, cyber-security attacking detection and et al. In this paper, we propose to realize a STM32-based data acquisition system(DAS), where the vehicle data transferred on CAN networks are acquired through the OBD2(On-Broad Diagnosis) interface. And then, the acquired vehicle data are parsed and analyzed preliminarily according to the OBD2 protocol, and then shown on a LED displayer. Through the implementation of a prototype system, the feasibility and effectiveness of the proposed design of DAS is verified.