Application of Multi-Data Fusion Technology in Intelligent Design of Urban Environment

被引:0
|
作者
Yang T. [1 ]
机构
[1] Guangxi University of Foreign Languages, Guangxi, Nanning
关键词
D-S evidence; Intelligent design; Multiple data fusion techniques; Urban environment; Weighted average;
D O I
10.2478/amns.2023.2.01094
中图分类号
学科分类号
摘要
This paper adopts multi-data fusion technology to design urban environmental intelligence. First, store the information collected by the reader communication module and receive and analyze the urban environmental monitoring data sent by the handheld RF reader. Secondly, calculate the mean value of environmental data by weighted average, summarize the sample information by combining it with Bayesian estimation, and fuse the values of the multi-sensor data. Finally, D-S evidence inference is utilized to expand Bayes and enhance the degree of trust in the focal element. The results show that the utilization value of multi-data fusion technology can reach 1000, with the growth of time, the public urban environment concern reaches 900 times, the level of intelligent design of the urban environment is improved faster, and the overall effect is good. © 2023 Tongming Yang, published by Sciendo.
引用
收藏
相关论文
共 50 条
  • [1] Unstructured environment navigation and trajectory calibration technology based on multi-data fusion
    Wang, Wenhui
    Chen, Man
    Peng, Yumin
    Ma, Yiming
    Dong, Shi
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2024, 120
  • [2] Application of multi-data fusion in the gold forming prediction
    Cao, GZ
    Yang, FJ
    Li, HK
    Hou, P
    [J]. REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY III, 2004, 5239 : 174 - 184
  • [3] Multi-data source fusion
    Nachouki, Gilles
    Quafafou, Mohamed
    [J]. INFORMATION FUSION, 2008, 9 (04) : 523 - 537
  • [4] Reservoir model building with multi-data fusion
    Xia J.
    Zhang Y.
    Lü D.
    [J]. Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2016, 51 (02): : 350 - 354
  • [5] Research on the construction of intelligent sports teaching ecosystem in universities based on multi-data chain technology
    Feng L.
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [6] Multi-data fusion algorithm for radar emitter identification
    Shen, Yang
    Chen, Yong-Guang
    Li, Xiu-He
    [J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2007, 29 (10): : 2329 - 2332
  • [7] PILOT-STUDIES IN A MULTI-DATA BASE ENVIRONMENT
    ZWILLENBERG, HJ
    [J]. ASLIB PROCEEDINGS, 1973, 25 (02): : 46 - 50
  • [8] The Fresh Classification of Pork Detection Based on Multi-Data Fusion
    Guo Peiyuan
    Bi Song
    Chen Tianhua
    Xu Guannan
    Liu Xing
    [J]. PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 2735 - 2738
  • [9] Data analysis and mining environment: A distributed intelligent agent technology application
    Sugumaran, Vijayan
    Bose, Ranjit
    [J]. Industrial Management and Data Systems, 1999, 99 (01): : 71 - 80
  • [10] Data analysis and mining environment: a distributed intelligent agent technology application
    Sugumaran, V
    Bose, R
    [J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 1999, 99 (1-2) : 71 - 80