Machines, inventory and parts are all manufacturing assets—and the Industrial Internet of Things can help monitor them.
Sensors embedded in machines can measure a variety of parameters, such as vibration, temperature and pressure. The sensors can capture irregular vibrations and acoustic signals early on and relay that information for analysis. Any pattern that deviates from the norm can trigger an alert to the original equipment manufacturer or the appropriate shop floor staff, who can intervene accordingly. In a manufacturing plant, for example, a sensor can detect an irregularity, send the data to a platform that assesses the situation and communicate the recommended action to the proper staff so action, including preventative maintenance, can be taken to avoid a full shut-down if possible.
Traditional maintenance is preventive, and performed according to fixed schedules. The advantage of preventative maintenance is that it keeps machines running in a proactive manner. The Industrial Internet of Things can optimize machine performance by taking machines offline only when absolutely necessary. IIoT sensors can even detect catastrophic faults before they fully develop.