基于传感器网络的大中型车辆油耗监测方法研究

Guohua Yue, Jingting Wang
{"title":"基于传感器网络的大中型车辆油耗监测方法研究","authors":"Guohua Yue, Jingting Wang","doi":"10.1145/3424978.3425159","DOIUrl":null,"url":null,"abstract":"Application of fuel tank status monitoring technology is studied during the operation of large and medium-sized vehicles. By means of sensor network technology, the vehicle on-board terminal periodic data was collected. Vehicle fuel oil of sensing historical data was analyzed and processed. Recognition algorithm of fuel state is studied in order that the status of each of the fuel sampling points are identified as 4 states: \"Using, oil filling, oil leaking, Stopping\", in order to automatically calculate and perceive the vehicle filling time, oil filling value, oil leaking time, oil leaking value and daily fuel oil consumption value. To overseeing and decision of illegal acts of drivers and conductors such as overstatement of the amount of fuel, stealing and selling fuel to provide the scientific basis for the decision to reduce the loss of company property. On the basis of the fuel status recognition, the calculated results and the actual vehicle oil filling data are analyzed and compared, indicating that the vehicle fuel status recognition algorithm can determine the state of each fuel sample point correctly. Calculated value compared to the actual oil filling values and fuel consumption values, errors between them are no more than 3%, meeting the requirements of the fuel control. Vehicle fuel Status recognition algorithm for each oil sample point fuel condition was the correct judgment, then monitoring fuel calculation and amount of oil used to control the enterprise cost of fuel. The result is satisfactory.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Monitoring Method of Fuel Consumption for Large and Medium-sized Vehicles Based on Sensor Network\",\"authors\":\"Guohua Yue, Jingting Wang\",\"doi\":\"10.1145/3424978.3425159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application of fuel tank status monitoring technology is studied during the operation of large and medium-sized vehicles. By means of sensor network technology, the vehicle on-board terminal periodic data was collected. Vehicle fuel oil of sensing historical data was analyzed and processed. Recognition algorithm of fuel state is studied in order that the status of each of the fuel sampling points are identified as 4 states: \\\"Using, oil filling, oil leaking, Stopping\\\", in order to automatically calculate and perceive the vehicle filling time, oil filling value, oil leaking time, oil leaking value and daily fuel oil consumption value. To overseeing and decision of illegal acts of drivers and conductors such as overstatement of the amount of fuel, stealing and selling fuel to provide the scientific basis for the decision to reduce the loss of company property. On the basis of the fuel status recognition, the calculated results and the actual vehicle oil filling data are analyzed and compared, indicating that the vehicle fuel status recognition algorithm can determine the state of each fuel sample point correctly. Calculated value compared to the actual oil filling values and fuel consumption values, errors between them are no more than 3%, meeting the requirements of the fuel control. Vehicle fuel Status recognition algorithm for each oil sample point fuel condition was the correct judgment, then monitoring fuel calculation and amount of oil used to control the enterprise cost of fuel. The result is satisfactory.\",\"PeriodicalId\":178822,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3424978.3425159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424978.3425159","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

研究了大中型车辆运行过程中油箱状态监测技术的应用。利用传感器网络技术,采集车载终端的周期性数据。对汽车燃油的传感历史数据进行了分析和处理。研究燃油状态识别算法,将每个燃油采样点的状态识别为“使用、加油、漏油、停止”4种状态,从而自动计算和感知车辆加油时间、加油值、漏油时间、漏油值和每日燃油消耗值。对司机、售票员虚报加油量、偷盗、贩卖燃油等违法行为进行监督决定,为减少公司财产损失的决定提供科学依据。在燃油状态识别的基础上,将计算结果与实际车辆加油数据进行了分析比较,表明车辆燃油状态识别算法能够正确判断各个燃油采样点的状态。计算值与实际充油值与油耗值相比较,误差不大于3%,满足燃油控制要求。车辆燃油状态识别算法对每个油样点的燃油状态进行正确判断,进而监控燃油计算和用油量,控制企业燃油成本。结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research on Monitoring Method of Fuel Consumption for Large and Medium-sized Vehicles Based on Sensor Network
Application of fuel tank status monitoring technology is studied during the operation of large and medium-sized vehicles. By means of sensor network technology, the vehicle on-board terminal periodic data was collected. Vehicle fuel oil of sensing historical data was analyzed and processed. Recognition algorithm of fuel state is studied in order that the status of each of the fuel sampling points are identified as 4 states: "Using, oil filling, oil leaking, Stopping", in order to automatically calculate and perceive the vehicle filling time, oil filling value, oil leaking time, oil leaking value and daily fuel oil consumption value. To overseeing and decision of illegal acts of drivers and conductors such as overstatement of the amount of fuel, stealing and selling fuel to provide the scientific basis for the decision to reduce the loss of company property. On the basis of the fuel status recognition, the calculated results and the actual vehicle oil filling data are analyzed and compared, indicating that the vehicle fuel status recognition algorithm can determine the state of each fuel sample point correctly. Calculated value compared to the actual oil filling values and fuel consumption values, errors between them are no more than 3%, meeting the requirements of the fuel control. Vehicle fuel Status recognition algorithm for each oil sample point fuel condition was the correct judgment, then monitoring fuel calculation and amount of oil used to control the enterprise cost of fuel. The result is satisfactory.
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
期刊最新文献
Study on Improved Algorithm of RSSI Correction and Location in Mine-well Based on Bluetooth Positioning Information Distributed Predefined-time Consensus Tracking Protocol for Multi-agent Systems Evaluation Method Study of Blog's Subject Influence and User's Subject Influence Performance Evaluation of Full Turnover-based Policy in the Flow-rack AS/RS A Hybrid Encoding Based Particle Swarm Optimizer for Feature Selection and Classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1