Intelligent manufacturing: bridging the gap between the Internet of Things and machinery to achieve optimized operations

Authors

  • Yuanfang Wei Yantai Institute of Science and Technology
  • Li Song Yantai Institute of Science and Technology

DOI:

https://doi.org/10.4108/eetsis.5671

Keywords:

Internet of Manufacturing Things, Human Machine Interfaces, Machinery, Industries

Abstract

The access gateway layer in the IoT interior design bridging the gap between several destinations. The capabilities include message routing, message identification, and a service. IoT intelligence can help machinery industries optimize their operations with perspectives on factory processes, energy use, and help efficiency. Automation can bring in improved operations, lower destruction, and greater manufacture. IoT barriers are exactly developed for bridging the gap between field devices and focused revenues and industrial applications, maximizing intelligent system performance and receiving and processing real-time operational control data that the network edge. The creation of powerful, flexible, and adjustable Human Machine Interfaces (HMI) can enable associates with information and tailored solutions to increase productivity while remaining safe. An innovative strategy for data-enabled engineering advances based on the Internet of Manufacturing Things (IoMT) is essential for effectively utilizing physical mechanisms. The proposed method HMI-IoMT has been gap analysis to other business processes turns into a reporting process that can be utilized for improvement. Implementing a gap analysis in production or manufacturing can bring the existing level of manpower allocation closer to an ideal level due to balancing and integrating the resources. Societal growth and connection are both aided in the built environment. Manufacturing operations are made much more productive with the help of automation and advanced machinery. Increasing the output of products and services is possible as a result of this efficiency, which allows for the fulfillment of an expanding population's necessities.

Author Biographies

Yuanfang Wei, Yantai Institute of Science and Technology

School of Ocean Engineering

Li Song, Yantai Institute of Science and Technology

School of Ocean Engineering

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Published

10-04-2024

How to Cite

1.
Yuanfang Wei, Li Song. Intelligent manufacturing: bridging the gap between the Internet of Things and machinery to achieve optimized operations. EAI Endorsed Scal Inf Syst [Internet]. 2024 Apr. 10 [cited 2024 May 3];11(5). Available from: https://publications.eai.eu/index.php/sis/article/view/5671