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Analysis of the Functionality of a Mobile Network of Sensors in a Construction Project Supervision System Based on Unmanned Aerial Vehicles

Author

Listed:
  • Michał Strach

    (Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, AGH University of Krakow, 30-059 Kraków, Poland)

  • Krzysztof Różanowski

    (Centre for Advanced Materials and Technologies CEZAMAT, Warsaw University of Technology, 02-822 Warszawa, Poland)

  • Jerzy Pietrucha

    (Faculty of Organization and Management, Lodz University of Technology, ul. Wólczańska 221, 93-005 Łódź, Poland)

  • Jarosław Lewandowski

    (Pietrucha International Sp. z o. o., 98-235 Błaszki, Poland)

Abstract

This manuscript presents the results of a project related to the construction and testing of selected devices included in a space inspection and worker supervision system. The most important components of this system are a swarm of unmanned aerial vehicles, a docking station for the automatic charging of many drones, monitoring sensors, and user software that integrates all components responsible for mission planning (UAV raids) and measurement data processing. All components were built according to an original solution. The main part of this manuscript is a description of tests used to verify the functionality of a sensor network for monitoring infrastructural elements and moving objects, including people working on a construction project. As part of this research, procedures for testing sensor networks under laboratory and field conditions were developed. The tests performed demonstrated the ability of the MESH network to self-organize depending on the location of the elements in the network. The system that was built ensured the transmission of data from telemetric devices during UAV flights, regardless of the coverage of terrain by other networks, such as Wi-Fi and GSM networks. Data were sent to the end user via a LAN network based on the IP protocol. The maximum range between devices forming the network and the range limitations caused by various terrain obstacles were also determined.

Suggested Citation

  • Michał Strach & Krzysztof Różanowski & Jerzy Pietrucha & Jarosław Lewandowski, 2023. "Analysis of the Functionality of a Mobile Network of Sensors in a Construction Project Supervision System Based on Unmanned Aerial Vehicles," Sustainability, MDPI, vol. 16(1), pages 1-26, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:340-:d:1310396
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    References listed on IDEAS

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    1. Shengkun Xie & Kun Shi, 2023. "Generalised Additive Modelling of Auto Insurance Data with Territory Design: A Rate Regulation Perspective," Mathematics, MDPI, vol. 11(2), pages 1-24, January.
    2. Karatas, Mumtaz, 2021. "A dynamic multi-objective location-allocation model for search and rescue assets," European Journal of Operational Research, Elsevier, vol. 288(2), pages 620-633.
    3. Dieudonné Tchuente & Serge Nyawa, 2022. "Real estate price estimation in French cities using geocoding and machine learning," Annals of Operations Research, Springer, vol. 308(1), pages 571-608, January.
    4. Maciej J. Nowak & Renato Monteiro & Jorge Olcina-Cantos & Dimitra G. Vagiona, 2023. "Spatial Planning Response to the Challenges of Climate Change Adaptation: An Analysis of Selected Instruments and Good Practices in Europe," Sustainability, MDPI, vol. 15(13), pages 1-27, July.
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