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An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry

Oscar Torres Sanchez , Duarte Raposo , Andre Rodrigues , Fernando Boavida , Radu Marculescu , Kongyang Chen , Jorge Sa Silva

ISLA — Instituto Politécnico de Gestão e Tecnologia

IEEE Access, 2023

In recent years, considerable advances in connecting industrial equipment to the Internet allowed a higher level of operational efficiency, productivity, and automation. Nevertheless, the construction industry still presents challenging requirements, like long-distance wireless communication, interconnection of out-of- coverage areas, constant mobility of machinery, and support for legacy and proprietary systems. All these requirements pose different challenges when compared with traditional smart factory Industry 4.0 solutions. This paper discusses some of the current key questions regarding fleet management in the construction industry, identifies requirements for heavy-duty machinery, and proposes an Industrial Internet of Things (IIoT)-based solution for the integrated monitoring of such machinery. Also, it proposes and presents an open, innovative solution for the integrated management of non-standardized civil construction vehicle technologies. The developed prototype uses the J1939 protous and protocol to collect machinery status and Long-Range Wide Area Network (LoRaWAN) to communicate the monitored data. The solution was assessed at the construction site of the new port of Sines in Portugal. A detailed description of the proposed system is provided, along with information on trials and evaluation results regarding its performance. Additionally, the paper provides insights into open issues and challenges in this field and how our solution can contribute to overcoming them.

Keywords

#Industrial Internet of Things #construction machinery #fleet management #LoRaWAN #long-range wireless communication #port construction #Port of Sines #automation #Port (circuit theory) #Industry 4.0 #Computer science #Factory (object-oriented programming)

Bibliographic Details

Publication Type Journal article

Publication Year 2023

Journal / Conference / Work IEEE Access

Quartile (SCImago) Q1

Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry

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Bibliographic Details

ISLA Authors & Affiliations