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基于NB-IoT的机车油量监测系统
引用本文:王明,王志成.基于NB-IoT的机车油量监测系统[J].计算机系统应用,2019,28(3):88-92.
作者姓名:王明  王志成
作者单位:中国科学院大学, 北京, 100049;中国科学院 沈阳计算技术研究所 高档数控国家工程研究中心, 沈阳 110168,中国科学院 沈阳计算技术研究所 高档数控国家工程研究中心, 沈阳 110168
摘    要:针对目前铁路行业对内燃机车油耗成本控制、提高油耗管理水平的需求,设计并实现了基于NB-IoT的机车油量监测系统.该系统使用高精度超声波液位传感器获取油量液位高度,使用GPS实时获取经纬度,通过NB-IoT通信模块上传至服务器,经过滤波算法处理后存储到数据库,利用浏览器访问管理系统可监测实时油量数据、查看历史油量、加油记录,实现设备远程管理.测试结果表明,该设计能够监测油量,精度较高,提高对油耗的控制,对NB-IoT应用以及监测系统的研究有一定的借鉴意义.

关 键 词:物联网  NB-IoT  机车油量  滤波算法
收稿时间:2018/9/17 0:00:00
修稿时间:2018/10/12 0:00:00

Railway Engines Oil Monitoring System Base on NB-IoT
WANG Ming and WANG Zhi-Cheng.Railway Engines Oil Monitoring System Base on NB-IoT[J].Computer Systems& Applications,2019,28(3):88-92.
Authors:WANG Ming and WANG Zhi-Cheng
Affiliation:University of Chinese Academy of Sciences, Beijing 100049, China;National Engineering Research Center for High-End CNC, Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China and National Engineering Research Center for High-End CNC, Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China
Abstract:In view of the current railway industry''s demand for fuel consumption control of diesel locomotives and improvement of fuel consumption management level, a locomotive oil quantity monitoring system based on NB-IoT is designed and implemented. The system uses high-precision ultrasonic liquid level sensor to obtain the liquid level of the oil, uses GPS to obtain the latitude and longitude in real time, uploads it to the server through the NB-IoT communication module, and stores it in the database after filtering algorithm, and thus monitors the real-time by oil quantity data, view historical oil quantity and fueling record using the browser access management system, realizes remote management of equipment. The test results show that the design can monitor the oil quantity, the precision is high, and the control of fuel consumption is improved. It has certain reference significance for the research of NB-IoT application and monitoring system.
Keywords:Internet of Things (IoT)  NB-IoT  locomotive oil quantity  filtering algorithm
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