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The implementation to intelligent linkage service over AIoT hierarchical for material flow management

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Abstract

A total solution implemented by the techniques based on artificial intelligent of thing (AIoT) architecture, which is called as intelligent linkage devices, proposed in the article. The main implementation contents of this project have some aspects in guidance application, which includes the application of flow tracking technology to improve the efficiency of material flow management. On the other hand, the establishment of spatial distribution tools for chemical substances strengthen the autonomous management ability of factories, and the establishment of chemical substances management platform in colleges and universities to simplify the reporting management mechanism. Therefore, this project has evaluated the appropriate safety management guidelines and intelligent management mechanisms by examining the actual operation of the laboratory and combining mobile devices, labeling, measurement identification and IoT technologies. This total solution is definitely figured out provides with following safe and convenient operation process for materials operation management, and even achieve the aim of simplifying reporting. To the best of author knowledge, the presented device is complete fresh application to the research field of IoT and machine learning.

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Acknowledgements

The author would like to submit the manuscript entitled “The Implementation to Intelligent Linkage Device over AIoT Hierarchical for Material Flow Management”, which author wishes to be considered for publication in “Journal of Ambient Intelligence and Humanized Computing”. No conflict of interest exists in the submission of this manuscript.

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  1. Department of Electrical Engineering, Da-Yeh University, No. 168 University Rd., Dacun, Changhua, 51591, Taiwan

    Joy Iong-Zong Chen

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  1. Joy Iong-Zong Chen
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Correspondence to Joy Iong-Zong Chen.

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Chen, J.IZ. The implementation to intelligent linkage service over AIoT hierarchical for material flow management. J Ambient Intell Human Comput 12, 2207–2219 (2021). https://doi.org/10.1007/s12652-020-02320-4

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  • DOI: https://doi.org/10.1007/s12652-020-02320-4

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