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      Construction Schedule Management System for Large-Scale Construction Projects Based on Multisensor Network

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      1 , , 2 , 1
      Computational Intelligence and Neuroscience
      Hindawi

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          Abstract

          As an important task of construction project management, construction schedule management is related to the realization of project period, cost, quality, and other objectives. However, in actual construction, problems such as difficulties in plan implementation and management are often encountered, and schedule delays often occur. Moreover, with the increase in the scale and complexity of modern buildings, the management of construction schedules has brought about larger issues and higher requirements have been put forward for the management level of the construction schedule. The traditional timetable management and scheduling is not highly relevant to the project entity. There is no entity change, the project information loss is serious, the tracking and control of the construction timetable is not in place, there is fine management, and the construction timetable management cannot meet the needs of modern construction. In order to ensure the smooth implementation of projects and objectives, it is urgent to explore new management ideas and methods to promote the smooth progress of construction process management. BIM technology has the advantages of visibility, simulation, adjustment, optimization, and advanced data integration, which helps to make up for the shortcomings of previous schedule management and improve the level of construction schedule management. Based on the research situation of large-scale construction project monitoring system and the analysis of information fusion technology, this paper proposes a large-scale construction project monitoring system scheme based on multisensor network information fusion. Through the investigation of the monitoring content, the composition of the multisensor network is determined. This paper is applicable to large-scale construction projects. Through the research and design of hardware modules, software modules, and fusion algorithms, the data acquisition, transmission, calculation, and display functions of the monitoring system based on multisensor network information fusion are realized, which can effectively monitor the entire process of large-scale construction projects.

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          Most cited references15

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          The project benefits of Building Information Modelling (BIM)

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            Building Information Modeling (BIM) and Safety: Automatic Safety Checking of Construction Models and Schedules

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              Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

              Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable. This measurement method has a high impact in human performance assessment and human-robot interaction. IMU motion tracking systems are indeed self-contained and wearable, allowing for long-lasting tracking of the user motion in situated environments. After a survey on IMU-based human tracking, five techniques for motion reconstruction were selected and compared to reconstruct a human arm motion. IMU based estimation was matched against motion tracking based on the Vicon marker-based motion tracking system considered as ground truth. Results show that all but one of the selected models perform similarly (about 35 mm average position estimation error).
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                Author and article information

                Contributors
                Journal
                Comput Intell Neurosci
                Comput Intell Neurosci
                cin
                Computational Intelligence and Neuroscience
                Hindawi
                1687-5265
                1687-5273
                2022
                14 September 2022
                : 2022
                : 3003552
                Affiliations
                1School of Science, North University of China, Taiyuan, Shanxi 030051, China
                2Huayuan International Land-Port Group Co., Ltd., Taiyuan, Shanxi 030021, China
                Author notes

                Academic Editor: Kapil Sharma

                Author information
                https://orcid.org/0000-0002-1020-9057
                https://orcid.org/0000-0001-9373-9469
                https://orcid.org/0000-0002-6848-1360
                Article
                10.1155/2022/3003552
                9492335
                003ed47b-c8e1-4645-abb6-3f0e0df2cba3
                Copyright © 2022 Fanmin Meng et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 June 2022
                : 14 August 2022
                : 22 August 2022
                Categories
                Research Article

                Neurosciences
                Neurosciences

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