基于油量传感的大中型车辆油耗分析模型与状态判定方法研究

发布时间：2019-06-25 11:27

【摘要】：基于传感网技术、GPS定位技术构建运输过程监控平台可检测车辆运行过程中的速度、行驶方向、位置、胎压、以及运输介质的相关参数;为了对车辆用油安全进行管理,监测车辆油箱油位状态,实时掌握油耗情况是车辆运输监控环节中的主要目的之一。本文通过对大量的油位实时传感数据进行分析给出油耗分析模型、研究与设计油位状态判别算法为大中型车辆用油管理寻求科学、实用的方法。物流企业拥有许多大型长途运输车辆,由于车辆的流动性、燃油(一般是柴油)的消耗与损失管理经常处于失控状态。为了解决企业油耗管理的难题,我们通过在车辆上安装车载无线传感终端与油位传感器,车载终端周期性的采集车辆油箱燃油数据、车辆所处的经纬、纬度、行驶速度、行驶方向、行驶姿态数据。所用车载无线传感器终端与企业管理部门建立通信服务后,这些车辆被纳入到一个庞大的无线传感器网络中,每个车载终端实时的将所采集的数据传输到企业的通信服务器,其车辆的GPS定位数据与油料使用情况将处于可监控状态。传感器以30秒为采样周期,实时采集油位数据并保存到数据库中。通过对大量的油量传感历史数据进行分析与处理,研究燃油数据分析模型与设计状态识别算法,对每一个采样点的燃油状态进行识别,将车辆燃油状态识别为“使用、加油、漏油,停用”四种状态,以便对车辆加油时间、加油量、漏油时间、漏油量、日耗油量进行自动计算与感知;为监督司乘人员虚报加油量、非法盗卖燃油等行为的判定提供科学依据、防范公司财物损失。
[Abstract]:Based on sensor network technology, GPS positioning technology can detect the speed, driving direction, position, tire pressure and related parameters of transportation medium in the process of vehicle operation. In order to manage the safety of vehicle oil, monitor the fuel level of vehicle fuel tank, and master the fuel consumption in real time is one of the main purposes of vehicle transportation monitoring. In this paper, based on the analysis of a large number of real-time sensing data of oil level, the fuel consumption analysis model is given, and the fuel level state discrimination algorithm is studied and designed to find a scientific and practical method for oil management of large and medium-sized vehicles. Logistics enterprises have many large long-distance transport vehicles, because of the liquidity of vehicles, fuel consumption and loss management is often out of control. In order to solve the problem of fuel consumption management in enterprises, we collect the fuel data of vehicle fuel tank periodically by installing wireless sensor terminal and oil level sensor on the vehicle, and the longitude and weft, latitude, speed, direction and attitude data of the vehicle. After the communication service is established between the vehicle wireless sensor terminal and the enterprise management department, these vehicles are brought into a huge wireless sensor network. Each vehicle terminal transmits the collected data to the enterprise communication server in real time, and the GPS positioning data and oil use of the vehicle will be in a controllable state. The sensor takes 30 seconds as the sampling period, collects the oil level data in real time and saves it to the database. Through the analysis and processing of a large number of oil sensing historical data, the fuel data analysis model and design state identification algorithm are studied, and the fuel state of each sampling point is identified as four states: "use, refueling, oil leakage and shutdown", so as to automatically calculate and sense the refueling time, fuel filling, oil leakage time, oil leakage and daily fuel consumption of the vehicle. It provides a scientific basis for the supervision of the crew to misreport the amount of fuel and illegally steal and sell fuel and so on, and to prevent the loss of property of the company.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U471.23

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