Design and Development of the Smart Object for the IoT-enabled Smart Warehouse

Silapunt, Rardchawadee; Panpanyatep, Worawit; Boonsothonsatit, Ganda

doi:10.1109/ieecon53204.2022.9741566

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…To avoid the operation of overloaded vehicles, the system cuts the battery power, preventing ignition. Finally, Silapunt [40] designed and developed intelligent objects and a smart hand pallet truck. The work is focused on goods identification using UHF RFID, processed through a Raspberry Pi, and providing an intuitive Graphical User Interface.…”

Section: B Iiot Management Solutionsmentioning

confidence: 99%

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

et al. 2023

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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-ofcoverage 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 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.

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Section: B Iiot Management Solutionsmentioning

confidence: 99%

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

et al. 2023

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COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories

Chen,

Peng,

Ling

2024

J Cloud Comp

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Development of a Mobile Robot Platform for Smart Warehouse Management System

Samigulin,

Mlikova,

Tolengutov

et al. 2024

jour

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This study examines the TurtleBot3 Waffle Pi mobile robot’s integration into warehouse logistics, highlighting its role in enhancing operational efficiency and reducing costs. Central to the research is the development of a Python-based navigation algorithm that employs LIDAR for autonomous navigation, complemented by a novel positioning strategy. This allows the robot to accurately navigate within a predefined imaginary grid, optimizing workflow, minimizing errors, and cutting operational expenses. A custom-designed lifting mechanism, fabricated via 3D printing, is introduced to improve pallet handling, showcasing the synergy between mechanical innovation and robotics. The integration with Wiren Board 7 controllers facilitates seamless operation, further enhanced by connecting the robot to the Honeywell Experion PKS system through OPC UA technology. This connectivity underscores the robot’s capability to integrate into existing industrial control frameworks, offering a scalable solution for modernizing warehouse operations. Focusing on Kazakhstan’s logistics sector, the application of such technologies demonstrates significant potential to elevate operational efficiency and competitiveness on a national scale. The study emphasizes the critical role of robotics and advanced control systems in logistics, advocating for further technological advancements to support economic growth and sustainability

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Design and Development of the Smart Object for the IoT-enabled Smart Warehouse

Cited by 3 publications

References 3 publications

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

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

COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories

Development of a Mobile Robot Platform for Smart Warehouse Management System

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