RETRACTED: Internet of Things System of Spatial Structure Sports Events Health Monitoring Based on Cloud Computing (Retracted Article)

被引:2
作者
Feng, Rui [1 ]
Chang, Ning [2 ]
机构
[1] Changan Univ, Dept Phys Educ, Xian 710061, Shaanxi, Peoples R China
[2] Xian Phys Educ Univ, Dept Sports Injury, Xian 710061, Shaanxi, Peoples R China
关键词
TIME;
D O I
10.1155/2022/1354640
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, the health monitoring system of world sports events uses the system's on-site information or periodic test information to evaluate the health of the system. In order to make the data more accurate, the application of cloud computing is necessary. This article is based on the cloud computing spatial structure sports event health monitoring Internet of Things system, aiming to analyze the data from the structure's resilience, surface load and other aspects, combined with cloud computing means to explore this monitoring system. This research uses literature retrieval methods, cloud computing particle swarm optimization and interpolation fitting methods to process data. Aiming at the data characteristics of spatial structure health monitoring, the overall framework of the Internet of Things system for spatial structure health monitoring is proposed. Taking advantage of cloud computing in processing computing-intensive tasks, an algorithm for data processing at the application layer is established, and the cloud data for spatial structure monitoring is completed. Management system design. Among them, the Internet of Things system, structural health monitoring system and other models are mainly combined with the various levels of the model to carry out targeted analysis; the factors involved are the arrangement of sensors and the installation of sensors at the junctions, for example, magnetoelectric acceleration sensors and optical fiber optical shed sensors for data recording of large stadiums with different structures. The experimental results show that when extreme temperatures exist, the stress of the rods as a whole will decrease to a certain extent. The maximum difference between the test data considering extreme weather and not considering extreme weather is 226.
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页数:13
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共 30 条
  • [1] Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System
    Abawajy, Jemal H.
    Hassan, Mohammad Mehedi
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (01) : 48 - 53
  • [2] Abdulsahib G. M., 2018, INT J CIVIL ENG TECH, V9, P369
  • [3] Dynamic channel allocation in electromagnetic nanonetworks for high resolution monitoring of plants
    Afsharinejad, Armita
    Davy, Alan
    Jennings, Brendan
    [J]. NANO COMMUNICATION NETWORKS, 2016, 7 : 2 - 16
  • [4] Anekar M., 2018, INT J COMPUTER APPL, V181, P19, DOI [10.5120/ijca2018918123, DOI 10.5120/IJCA2018918123]
  • [5] Extraction of Inductances and Spatial Distributions of Currents in a Model of Superconducting Neuron
    Bakurskiy, S., V
    Klenov, N., V
    Kupriyanov, M. Yu
    Soloviev, I. I.
    Khapaev, M. M.
    [J]. COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, 2021, 61 (05) : 854 - 863
  • [6] Bratus Ryszard, 2016, Measurement Automation Monitoring, V62, P387
  • [7] Toward an ElderCare Living Lab for Sensor-Based Health Assessment and Physical Therapy
    Calyam, Prasad
    Jahnke, Isa
    Mishra, Anup
    Antequera, Ronny Bazan
    Chemodanov, Dmitrii
    Skubic, Marjorie
    [J]. IEEE CLOUD COMPUTING, 2017, 4 (03): : 30 - 39
  • [8] 3D DOCUMENTATION FOR THE CONSERVATION OF HISTORICAL HERITAGE: THE CASTLE OF PRIEGO DE CORDOBA (SPAIN)
    Francisco Garcia-Molina, Diego
    Gonzalez-Merino, Ramon
    Rodero-Perez, Jesus
    Carrasco-Hurtado, Bartolome
    [J]. VIRTUAL ARCHAEOLOGY REVIEW, 2021, 12 (24): : 115 - 130
  • [9] Large-scale numerical simulations of star formation put to the test Comparing synthetic images and actual observations for statistical samples of protostars
    Frimann, S.
    Jorgensen, J. K.
    Haugbolle, T.
    [J]. ASTRONOMY & ASTROPHYSICS, 2016, 587
  • [10] Gadekar C., 2017, Adv. Comput. Sci. Technol, V10, P53