Design and development of remote monitoring predictive maintenance dashboard for reverse osmosis water purification plant

Abstract

In an effort to digitalize and modernize medical equipment maintenance services in Government Hospitals, remote monitoring dashboard has become indispensable. Monitoring dashboards are often used to monitor, control, improve and maintain the operations of medical equipment as they are a powerful tool that provides an overview of the current status of the operating system. This paper presents the design development of a Remote Monitoring Predictive Maintenance Dashboard via web-based application for the Reverse Osmosis (RO) Water Purification System at Hospital Temenggong Seri Maharaja Tun Ibrahim, Johor, Malaysia. The dashboard monitors real-time data captured from nine sensors located in the RO plant. The real-time data is processed for breakdown prediction of the plant by incorporating the long short-term memory (LSTM) network which will be displayed on the dashboard and produced an alert when necessary. The system development approach practices the 'Waterfall Method' with a combination of the 'Agile Method'. This paper discusses the system requirement specifications, system architecture, system functions and the outcome of the development. The system has been successfully deployed and tested by the stakeholders.