汽车油品在线信息监测系统的设计与实现

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}
引用次数: 0

摘要

随着汽车的普及和应用,汽车的安全问题逐渐受到广泛关注,其中油品质量是影响汽车安全的重要因素。目前,对石油的监测和评价分为离线和在线两种方式。本文旨在实现油品质量的实时获取与分析。并基于在线监测方法,设计并实现了一个汽车油品信息监测系统。系统硬件采集部分由油传感器和自制STM32板组成,上位机监控软件作为分析显示部分。经实验测试,该系统能够对油类的介电常数、粘度、含水量、水活度、密度和温度等指标进行在线监测、预警和评价,并能利用给定的模型预测油类的油烟含量和柴油含量,并能利用最小二乘拟合算法计算出$100^{\circ}\ maththrm {C}$运动粘度。系统的精度和测量范围取决于油传感器的指标。该车辆油品信息监控系统有利于采集车辆油品运行的实际参数,为车辆安全维护提供可靠依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信