PTTIPTTI

Journal of Fuzzy Systems and ControlJournal of Fuzzy Systems and Control

In the current context, the demand for clean water in daily life and in industrial environments is increasing, showing that the need for improved operation of water supply systems as well as management efficiency is essential. The pressure pump system is one of the important factors that help improve the stability of the water supply demand. The system helps ensure the quality of the water supply, has the function of maintaining stable pressure in the pipeline, avoiding sudden pressure changes that damage equipment, causing unsafe incidents at the operating site, and for users. This paper presents an experimental study on a booster pump system model integrated with programmable logic controller (PLC) and supervisory control and data acquisition (SCADA) technologies, along with a human-machine interface (HMI), to automate operation, alternate pump operation, apply proportional integral derivative (PID) control without an expansion tank, and monitor the system without manual or semi-automatic intervention. Based on the experiment and evaluation methods, the study shows the potential for improving the pressure pump system in the wastewater treatment and domestic water supply industry.

The objective of this research is to develop an integrated automation system for a dual-pump booster station that combines PLC, SCADA, and PID control technologies.The proposed configuration focuses on maintaining constant pipeline pressure without the need for a pressure tank, while ensuring alternating pump operation for load balancing and equipment longevity.Through the integration of real-time monitoring and centralized supervision via SCADA and HMI interfaces, the system is expected to enhance operational reliability and minimize manual intervention.The design approach follows advanced control strategies applied in hydraulic power systems and incorporates recent progress in intelligent optimization of PID parameters for improved dynamic response.The overall goal is to establish a cost-effective and scalable control framework suitable for both industrial and municipal water distribution systems.

Berdasarkan penelitian ini, beberapa saran penelitian lanjutan dapat diajukan untuk meningkatkan efisiensi dan keandalan sistem pompa booster. Pertama, integrasi sensor IoT untuk memantau kondisi pompa secara real-time, seperti suhu dan getaran, dapat memungkinkan deteksi dini potensi kegagalan dan penjadwalan perawatan preventif yang lebih efektif. Kedua, penerapan algoritma machine learning untuk memprediksi kebutuhan air berdasarkan pola historis dan faktor eksternal, seperti cuaca, dapat mengoptimalkan operasi pompa dan mengurangi konsumsi energi. Ketiga, pengembangan sistem kontrol adaptif yang dapat menyesuaikan parameter PID secara otomatis berdasarkan kondisi operasional yang berubah dapat meningkatkan kinerja sistem secara keseluruhan dan mengurangi kebutuhan intervensi manual. Dengan menggabungkan saran-saran ini, sistem pompa booster dapat menjadi lebih cerdas, efisien, dan andal, serta berkontribusi pada pengelolaan sumber daya air yang berkelanjutan.

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