Predictive maintenance maximizes uptime and production in the steel industry. Unplanned downtime in the steel industry can interrupt production and have significant financial consequences. Additionally, unexpected downtime may result in regulatory noncompliance and, in serious situations, plant shutdown.
The steel industry is one of the most essential industries for many countries' economies and development. It is critical to the growth of the country's infrastructure and economy. Steel production necessitates a plethora of time-consuming and sophisticated manufacturing procedures. Aside from primary production processes, there are numerous sub-processes in which intermediate products are reheated, hardened, or pressed into various forms, such as pipes, sheets, bars, rods, and various structural shapes, according to the need.
In these processes, industries use a variety of machines that are tough to maintain. Individuals cannot track the health of machines through annual maintenance. It is vital to use a predictive maintenance tool to increase production and decrease downtime. Predictive maintenance is the most recent approach to continuous monitoring. S-Node is an IoT-driven, predictive maintenance tool wireless standalone device that can measure various parameters in the steel industry. It can detect various parameters such as tri-axial vibration, 6D motion, RPM, proximity, pressure, temperature, humidity, and acoustics.
S-Node collects various parameters to identify potential equipment faults before they cause a failure, allowing for proactive maintenance. This can help to reduce downtime, increase equipment life, and enhance overall efficiency. Anyone can use S-Node to identify faults ahead of time, reduce machine downtime, increase uptime by 15-20%, schedule maintenance as needed, and improve the lifetime of equipment by up to 20%.
