The On-board Measurement of Diesel Vehicle Smoke Intensity System

被引：0
|
作者：
Chen, Hong Yan [1 ]
Song, Yi Jin [1 ]
机构：
[1] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou 310018, Zhejiang, Peoples R China
来源：
ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4 | 2012年 / 220-223卷
关键词：
exhaust smoke intensity; real-time monitoring; GPRS; GSM; GPS;
D O I：
10.4028/www.scientific.net/AMM.220-223.684
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To real-time monitor vehicle exhaust emission under daily running, this paper proposed a on-board measurement of diesel vehicle smoke intensity system based on GSM/GPRS and GPS, and concentrated on the design of hardware and software of VMT(vehicle mounted terminal). The VMT integrated microcontroller unit, opacimeter, GPS module and GPRS module. The paper broke the traditional fixed-point way to sample exhaust data and proposed a way to acquire data of different section, different vehicle types and different time.
引用
收藏
页码：684 / 688
页数：5
相关论文
共 50 条
  • [41] Modeling and prediction of conducted EMI in on-board charging system of electric vehicle
    Zhou, Kai
    Xu, Zhipeng
    Li, Zheng
    ELECTRICAL ENGINEERING, 2024, : 3119 - 3134
  • [42] System for control of the power of an on-board signal generator of an unmanned aerial vehicle
    Zavgorodnii, A. S.
    Filippov, D. A.
    MEASUREMENT TECHNIQUES, 2024, 67 (06) : 460 - 466
  • [43] Image registration for an imaging system on-board fast moving military vehicle
    Wang, JC
    Chun, JW
    PROCEEDINGS OF THE IEEE 2000 NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE: ENGINEERING TOMORROW, 2000, : 239 - 243
  • [44] Real time vehicle pose using on-board stereo vision system
    Sappa, Angel D.
    Geronimo, David
    Dornaika, Fadi
    Lopez, Antonio
    IMAGE ANALYSIS AND RECOGNITION, PT 2, 2006, 4142 : 205 - 216
  • [45] ON-BOARD LANE DETECTION SYSTEM FOR INTELLIGENT VEHICLE BASED ON MONOCULAR VISION
    Miao, Xiaodong
    Li, Shunming
    Shen, Huan
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2012, 5 (04): : 957 - 972
  • [46] Information-Extreme Machine Learning of On-Board Vehicle Recognition System
    A. S. Dovbysh
    M. M. Budnyk
    V. Yu. Piatachenko
    M. I. Myronenko
    Cybernetics and Systems Analysis, 2020, 56 : 534 - 543
  • [47] On-board self-regulating automated vehicle operation system.
    Sasaki, A
    Tanaka, Y
    Ichikura, T
    1999 IEEE 49TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-3: MOVING INTO A NEW MILLENIUM, 1999, : 2298 - 2302
  • [48] Modeling and Identification of a Built-In Turbocharged Diesel Engine Using Standardized On-Board Measurement Signals
    Kaszynski, Martin
    Sawodny, Oliver
    2008 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 2008, : 479 - 484
  • [49] Development, Validation, and Application of an On-Board Sound Intensity Calibrator for Tire-Noise Measurement
    Donavan, Paul R.
    TRANSPORTATION RESEARCH RECORD, 2016, (2571) : 39 - 48
  • [50] Enhanced Nighttime Vehicle Detection for On-Board Processing
    Encio, Leyre
    Fuertes, Daniel
    del-Blanco, Carlos R.
    Aguilar, I. U.
    Perez-Benito, Cristina
    Jevtic, Aleksandar
    Jaureguizar, Fernando
    Garcia, Narciso
    IEEE ACCESS, 2025, 13 : 44817 - 44835
12345