Integrated Prescriptive Maintenance System (PREMSYS) for Construction Equipment Based on Productivity

Abstract It is now imperative to create smart systems that prevent mechanical damage through timely preventive maintenance, particularly in construction projects with strict time schedules and budgets. Construction equipment the largest capital investment for companies. Proper maintenance of major importance efficiency, productivity, minimization costs, environmental management. The aim this study propose an integrated system will monitor condition based on productivity provide diagnostic data, helping optimize production process, achieve increasing expected “economic” life equipment. At same time, it positively concept sustainable or green elimination harmful effects environment human. include sensors, placed specific components, collect measurements their use condition, real-time data export. These then be sent using wireless networks a main server. Extraction performance machine learning (ML) processing determine when needs predictive repair. Proper, prescriptive reduce footprint any human emissions, while saving energy during operating phase optimizing processes monitoring “dead” time.