Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Proactive Decentralized Historian Improving Long-Term Used Legacy System in the Water Industry 4.0 Context

Version 1 : Received: 19 June 2023 / Approved: 20 June 2023 / Online: 20 June 2023 (11:00:29 CEST)

A peer-reviewed article of this Preprint also exists.

Korodi, A.; Nicolae, A.; Drăghici, I.A. Proactive Decentralized Historian-Improving Legacy System in the Water Industry 4.0 Context. Sustainability 2023, 15, 11487. Korodi, A.; Nicolae, A.; Drăghici, I.A. Proactive Decentralized Historian-Improving Legacy System in the Water Industry 4.0 Context. Sustainability 2023, 15, 11487.

Abstract

The industry is in a continuous evolution in the context of Industrial Internet of Things (IIoT) and Industry 4.0 requirements and expected benefits. Some sectors allow a higher reconfiguration dynamics considering the interference capabilities and process/equipment renewals, but others have considerable inertia that is many times justified. In most encountered situations, the reality confirms that the industry is struggling with new demands as interoperation and efficiency improvements. The water industry makes no difference, being a sector with critical infrastructures and highly varied subsystems, where invasive interference in legacy solutions tends to be avoided. Following previous successful footsteps in researching a proactive decentralized historian, the current work focuses on a case-study that refers to a water treatment and distribution facility that is operated for several years and the current operating regime was established by local operators following accumulated observations, restrictions and response strategies. The proactive historian was tailored for the current case-study and it was applied and tested in the suboptimal functioning scenario where the water sources configuration was manually selected and used for water availability and energy efficiency, but without assuming current/future failures or different water demands. The proposed low-cost historian targeted to improve the functioning and operation of the water facility considering energy efficiency and other impacting outcomes of the current strategy, and to establish an automatic functioning regime in a completely non-invasive manner towards the local legacy solution. The results were satisfactory, proving that the historian is able to adapt to a particular and suboptimal functioning real industrial scenario, to establish recipes in a process-aware manner, and to interoperate with the local legacy solution in order to apply improving actions.

Keywords

proactive historian; IIoT; Industry 4.0; legacy systems; water industry; industrial automation; SCADA.

Subject

Computer Science and Mathematics, Other

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