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Mohanarangan Veerappermal Devarajan Vijaykumar Mamidala Akhil Raj Gaius Yallamelli Rama Krishna Mani Kanta Yalla Thirusubramanian Ganesan Aceng Sambas

Abstract

The Internet of Things (Internet of Things) is the world's network of interconnected and wired physical infrastructure, including sensors, drivers, intelligent devices, objects, computer equipment, and mechanical machines. Such tools are the data source of an industrial environment which provides a lot of knowledge about manufacturing methods. The large and heterogeneous complexity of the information is also essential to capture, store and decide on real-time data.This paper introduces an IoT assisted improved fuzzy aggregation for Industrial Data Management (IFA-IDM)  that can support massive industrial data management, online monitoring and smart production controls. The platform has five basic layers that provide end-users with a service-oriented Architecture including physical, network and middleware, databases and application layers. Experimental research from a case study of the intelligent factory shows that the system can handle normal information and urgent events generated by various factory devices through state of the art communication protocols in the industrial environment being distributed. The data are translated into useful information which increases efficiency and production line previews.

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How to Cite
Internet of Things Assisted Improved Fuzzy Aggregation Data Management in Smart Manufacturing Enterprise. (2025). International Journal of Automation and Smart Technology, 14(1). https://doi.org/10.5875/gypc2h13
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Articles

How to Cite

Internet of Things Assisted Improved Fuzzy Aggregation Data Management in Smart Manufacturing Enterprise. (2025). International Journal of Automation and Smart Technology, 14(1). https://doi.org/10.5875/gypc2h13