Zhenbin Lv, X. Wang, Haifeng Zhi, Bo Lin, Yitao Shen, Yanyan Wang, Chenxu Wang
{"title":"汽车油品在线信息监测系统的设计与实现","authors":"Zhenbin Lv, X. Wang, Haifeng Zhi, Bo Lin, Yitao Shen, Yanyan Wang, Chenxu Wang","doi":"10.1109/MCSoC57363.2022.00032","DOIUrl":null,"url":null,"abstract":"With the popularization and application of vehicles, the safety of automobiles has gradually attracted widespread attention, among which the quality of oil is an important factor affecting vehicle safety. Nowadays, the monitoring and evaluation of oil is divided into offline and online ways. This paper is aimed at the application of obtaining and analyzing oil quality in real time for vehicles. And based on the online monitoring method, this paper designed and implemented a vehicle oil information monitoring system. In the system, hardware acquisition part consists of oil sensors and self-made STM32 board, and host computer monitoring software as an analysis display part. After experimental testing, the system can conduct online monitoring, early warning and evaluation of the dielectric constant, viscosity, water content, water activity, density and temperature indicators of oil, and can predict the soot content and diesel content with the given model, and can calculate the $100^{\\circ}\\mathrm{C}$ kinematic viscosity using the least squares fitting algorithm. The accuracy and measurement range of the system depend on the indicators of the oil sensors. This vehicle oil information monitoring system is conducive to collecting the actual parameters of vehicle oil operation and providing a reliable basis for vehicle safety maintenance.","PeriodicalId":150801,"journal":{"name":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and implementation of vehicle oil online information monitoring system\",\"authors\":\"Zhenbin Lv, X. Wang, Haifeng Zhi, Bo Lin, Yitao Shen, Yanyan Wang, Chenxu Wang\",\"doi\":\"10.1109/MCSoC57363.2022.00032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the popularization and application of vehicles, the safety of automobiles has gradually attracted widespread attention, among which the quality of oil is an important factor affecting vehicle safety. Nowadays, the monitoring and evaluation of oil is divided into offline and online ways. This paper is aimed at the application of obtaining and analyzing oil quality in real time for vehicles. And based on the online monitoring method, this paper designed and implemented a vehicle oil information monitoring system. In the system, hardware acquisition part consists of oil sensors and self-made STM32 board, and host computer monitoring software as an analysis display part. After experimental testing, the system can conduct online monitoring, early warning and evaluation of the dielectric constant, viscosity, water content, water activity, density and temperature indicators of oil, and can predict the soot content and diesel content with the given model, and can calculate the $100^{\\\\circ}\\\\mathrm{C}$ kinematic viscosity using the least squares fitting algorithm. The accuracy and measurement range of the system depend on the indicators of the oil sensors. This vehicle oil information monitoring system is conducive to collecting the actual parameters of vehicle oil operation and providing a reliable basis for vehicle safety maintenance.\",\"PeriodicalId\":150801,\"journal\":{\"name\":\"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSoC57363.2022.00032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSoC57363.2022.00032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and implementation of vehicle oil online information monitoring system
With the popularization and application of vehicles, the safety of automobiles has gradually attracted widespread attention, among which the quality of oil is an important factor affecting vehicle safety. Nowadays, the monitoring and evaluation of oil is divided into offline and online ways. This paper is aimed at the application of obtaining and analyzing oil quality in real time for vehicles. And based on the online monitoring method, this paper designed and implemented a vehicle oil information monitoring system. In the system, hardware acquisition part consists of oil sensors and self-made STM32 board, and host computer monitoring software as an analysis display part. After experimental testing, the system can conduct online monitoring, early warning and evaluation of the dielectric constant, viscosity, water content, water activity, density and temperature indicators of oil, and can predict the soot content and diesel content with the given model, and can calculate the $100^{\circ}\mathrm{C}$ kinematic viscosity using the least squares fitting algorithm. The accuracy and measurement range of the system depend on the indicators of the oil sensors. This vehicle oil information monitoring system is conducive to collecting the actual parameters of vehicle oil operation and providing a reliable basis for vehicle safety maintenance.