Cloud-Powered Industrial IoT Platform for Continuous Equipment Health Tracking and Failure Alerts

Abstract

Constantly monitoring the industrial apparatus is essential to keep them in the operation mode, reduce unpredictable accidents, and improve the effectiveness of maintenance. Traditional maintenance schedules that use period reviews or on-repair services usually lead to manufacturing delays and increased cost of operation. This paper provides an IIoT cloud-based platform to be used in continuous monitoring of equipment health and generation of automatic failure signals. The system is designed with many sensors which can help to receive the necessary machine parameters including temperature, vibration, pressure, and current. The obtained information is transported through an edge gateway to a cloud system to store it, process it, and conduct real-time monitoring. The system compares the trend of the parameters against the set threshold values, to determine an anomaly and give early alarms to the maintenance officials. There is experimental evaluation of six pieces of industrial equipment whose operational evaluation shows a significant enhancement. Based on the findings, the efficiency of equipment went up to 87 and system dependability went up to 93, as compared to 68 and 72 respectively. More so, the amount of equipment devoted to downtime dropped to 28 hours per month, and the response time on maintenance was reduced to 33 minutes per month. The quantitative results prove that the offered IIoT monitoring system based on clouds is the solution that has a strong positive effect on equipment reliability, facilitates its proactive maintenance and ensures the increased productivity of the industrial sector in general.