Intelligent Environmental Monitoring System Based on Multi-Sensor Data Technology

被引:6
|
作者
Liu, Qiuxia [1 ]
机构
[1] Heze Univ, Heze, Peoples R China
关键词
Algorithm; Data Fusion; DS Evidence Theory; Environmental Parameters; Wireless Transmission;
D O I
10.4018/IJACI.2020100104
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Using multi-sensor data fusion technology, ARM technology, ZigBee technology, GPRS, and other technologies, an intelligent environmental monitoring system is studied and developed. The SCM STC12C5A60S2 is used to collect the main environmental parameters in real time intelligently. The collected data is transmitted to the central controller LPC2138 through the ZigBee module ATZGB-780S5, and then the collected data is transmitted to the management computer through the GPRS communication module SIM300; thus, the real-time processing and intelligent monitoring of the environmental parameters are realized. The structure of the system is optimized; the suitable fusion model of environmental monitoring parameters is established; the hardware and the software of the intelligent system are completed. Each sensor is set up synchronously at the end of environmental parameter acquisition. The method of different value detection is used to filter out different values. The authors obtain the reliability of the sensor through the application of the analytic hierarchy process. In the analysis and processing of parameters, they proposed a new data fusion algorithm by using the reliability, probability association algorithm, and evidence synthesis algorithm. Through this algorithm, the accuracy of environmental monitoring data and the accuracy of judging monitoring data are greatly improved.
引用
收藏
页码:57 / 71
页数:15
相关论文
共 50 条
  • [41] 3D-INTEGRATED MULTI-SENSOR DEMONSTRATOR SYSTEM FOR ENVIRONMENTAL MONITORING
    Koeck, Anton
    Wimmer-Teubenbacher, Robert
    Sosada-Ludwikovska, Florentyna
    Rohracher, Karl
    Wachmann, Ewald
    Herold, Martin
    van Welden, Ton
    Kim, Jong Min
    Ali, Zeeshan
    Poenninger, Anneliese
    Stahl-Offergeld, Markus
    Hohe, Hans-Peter
    Lorenz, Juergen
    Erlbacher, Tobias
    Dolmans, Guido
    Offermans, Peter
    Vandecasteele, Marianne
    Yurchenko, Olena
    von Sicard, Oliver
    Pohle, Roland
    Udrea, Florin
    Falco, Claudio
    Flandre, Denis
    Bol, David
    Comini, Elisabetta
    Zappa, Dario
    Gardner, Julian
    Cole, Marina
    Theunis, Jan
    Peters, Jan
    Baldwin, Alan
    2019 20TH INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS & EUROSENSORS XXXIII (TRANSDUCERS & EUROSENSORS XXXIII), 2019, : 1136 - 1139
  • [42] An intelligent multi-sensor tool wear monitoring system for unmanned machining environments.
    Hope, AD
    Javed, MA
    Littlefair, G
    Rao, BKN
    5TH INTERNATIONAL CONFERENCE ON PROFITABLE CONDITION MONITORING: FLUIDS AND MACHINERY PERFORMANCE MONITORING, 1996, (22): : 287 - 297
  • [43] Wireless Multi-Sensor Gas Platform for Environmental Monitoring
    Spirjakin, Denis
    Baranov, Alexander
    Karelin, Alexey
    Somov, Andrey
    2015 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2015, : 232 - 237
  • [44] Multi-sensor System For Indoor Environment Monitoring
    Wang, Zheng-yu
    Zhang, Xiao-ru
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, MACHINERY AND ENERGY ENGINEERING (MSMEE 2017), 2017, 123 : 675 - 680
  • [45] Design and Implementation of a Multi-Sensor Monitoring System
    Ye Jihua
    Liu Yan
    Nie Xiaoshi
    10TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2015), 2015, : 921 - 924
  • [46] Multi-sensor Data Fusion for Intelligent Vehicles Based on Tripartite Graph Matching
    Li, Luxing
    Wei, Chao
    Qiche Gongcheng/Automotive Engineering, 2024, 46 (07): : 1228 - 1238
  • [47] Multi-Sensor Data Fusion System Based on Apache Storm
    Yan, Liu
    Shuai, Zhao
    Bo, Cheng
    PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2017, : 1094 - 1098
  • [48] A Safety Computer System Based on Multi-Sensor Data Processing
    Cao, Yuan
    Lu, Hongkang
    Wen, Tao
    SENSORS, 2019, 19 (04)
  • [49] The Building of Debris Flow Monitoring and Warning System based on Zigbee Protocol using Multi-sensor Technology
    Yang, Yijin
    Gu, Quanyu
    Tan, Weijie
    Shang, Yunqiang
    Yang, Yawei
    MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 3762 - +
  • [50] Distributed Multi-Sensor Real-Time Building Environmental Parameters Monitoring System with Remote Data Access
    Beinarts, Ivars
    Grunde, Uldis
    Jakovics, Andris
    ELECTRICAL CONTROL AND COMMUNICATION ENGINEERING, 2014, 7 (01) : 41 - 46