Literature DB >> 33540530

Intelligent Control Method of Hoisting Prefabricated Components Based on Internet-of-Things.

Yuhong Zhao1,2, Cunfa Cao1,2, Zhansheng Liu1,2, Enyi Mu3.   

Abstract

Prefabricated buildings are widely used because of their green environmental protection and high degree of industrialization. However, in construction process, there are some defects such as small wireless network coverage, high-energy consumption, inaccurate control, and backward blind hoisting methods in the hoisting process of prefabricated components (PC). Internet-of-Things (IoT) technology can be used to collect and transmit data to strengthen the management of construction sites. The purpose of this study was to establish an intelligent control method in the construction and hoisting process of PC by using IoT technology. Long Range Radio (LoRa) technology was used to conduct data terminal acquisition and wireless transmission in the construction site. The Inertial Measurement Unit (IMU), Global Positioning System (GPS), and other multi-sensor fusion was used to collect information during the hoisting process of PC, and multi-sensor information was fused by fusion location algorithm for location control. Finally, the feasibility of this method was verified by a project as a case. The results showed that the IoT technology can strengthen the management ability of PC in the hoisting process, and improve the visualization level of the hoisting process of PC. Analysis of the existing outdated PC hoisting management methods, LoRa, IMU, GPS and other sensors were used for data acquisition and transmission, the PC hoisting multi-level management and intelligent control.

Entities:  

Keywords:  IMU; IoT; LoRa; PC; hoisting

Year:  2021        PMID: 33540530     DOI: 10.3390/s21030980

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  New Results for the Error Rate Performance of LoRa Systems over Fading Channels.

Authors:  Kostas Peppas; Spyridon K Chronopoulos; Dimitrios Loukatos; Konstantinos Arvanitis
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

2.  CEBA: A Data Lake for Data Sharing and Environmental Monitoring.

Authors:  David Sarramia; Alexandre Claude; Francis Ogereau; Jérémy Mezhoud; Gilles Mailhot
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

3.  Study of Occupational Safety Risks in Prefabricated Building Hoisting Construction Based on HFACS-PH and SEM.

Authors:  Yinghui Song; Junwu Wang; Denghui Liu; Feng Guo
Journal:  Int J Environ Res Public Health       Date:  2022-01-29       Impact factor: 3.390

  3 in total

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