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An artificial intelligence empowered cyber physical ecosystemfor energy efficiency and occupation health and safety

    1. [1] Monash University

      Monash University

      Australia

    2. [2] School of Business, University of New South Wales, Canberra, ACT 2612, Australia
    3. [3] Fleetwood Corporation Limited, Perth, WA 6004, Australia
  • Localización: Artificial intelligence in the energy industry / Ana Belén Gil González (ed. lit.), 2022, ISBN 978-3-0365-4605-6, págs. 21-34
  • Idioma: inglés
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  • Resumen
    • Reducing energy waste is one of the primary concerns facing Remote Industrial Plants(RIP) and, in particular, the accommodations and operational plants located in remote areas. Withthe COVID-19 pandemic continuing to attack the health of workforce, managing the balance betweenenergy efficiency and Occupation Health and Safety (OHS) in the workplace becomes another greatchallenge for the RIP. Maintaining this balance is difficult mainly because a full awareness of theOHS will generally consume more energy while reducing the energy cost may lead to a less effectiveOHS, and the existing literature has not seen a system that is designed for the RIPs to conserveenergy usage and improve workforce OHS simultaneously. To bridge this gap, in this paper, wepropose an AI Empowered Cyber Physical Ecosystem (AECPE) solution for the RIPs, which integratesCyber-Physical Systems (CPS), artificial intelligence, and mobile networks. The preliminary resultsof lab experiments and field tests proved that the AECPE was able to help industries reduce thecorporate annual energy cost that is worth millions of dollars, optimise the environmental conditions,and improve OHS for all workers and stakeholders. The implementation of the AECPE can resultin efficient energy usage, reduced wastage and emissions, environment-friendly operations, andimproved social reputation of the industries.


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