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
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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。
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.
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