How IoT Improves Power Management and Predictive Maintenance

How IoT Improves Power Management and Predictive Maintenance

Industries are often plagued with power management issues. Operational changes can cause considerable reductions in costs and efficiencies. The power mishandling has got to a point where a few factories alone pull greater energy than a small town. Therefore, a decrease in usage can create a lasting impact. Here is how IoT can help with prioritizing bandwidth.

Support Energy Efficiency Buildings

Factories can take advantage of IoT to power their energy management systems. IoT-based devices not only monitor and supervise the traditional power sources, such as elevators, HVAC, and lighting, but they also expand to broader horizons. These devices can allow you to gather, analyze, and change the energy data into valuable insights that can enhance energy efficiency.

Save Man Hours

The ROI of IoT comes out quite fast. Utility providers use real-time field data to enhance their operational efficiency by decreasing the number of man-hours reserved for energy management activities. The IoT system essentially automates the manual processes. Jobs that take considerable time, such as power generation and meter readings, are managed by the system, lowering the requirement for manual work and generating real-time and precise readings.


Predictive Maintenance

Predictive maintenance is a type of maintenance process that relies on processing data. Here is how IoT helps with predictive maintenance.

Discrete Manufacturing

Many big names in discrete manufacturing use predictive maintenance for monitoring a wide range of areas. For instance, the condition of spindles in a milling machine is evaluated via IoT sensors. These spindles are prone to damage and cost a great deal. IoT helps in predicting any flaws by fetching data from vibration and ultrasonic sensors that are connected to the spindle. An analysis of this collected data assists in pinpointing fragile spindles before it is too late. For instance, the Volvo group uses IoT-based predictive maintenance to estimate spindle damage and identify the cracking of rotating equipment and motor defects. Within a short period, they boost OEE with a 70% reduction in diagnostic times and 20% in repair times.

Process Manufacturing

When it comes to process manufacturing, paper and pulp processing companies use predictive maintenance with the help of IoT to oversee the status of paper-making machines. They equip vibration and temperature sensors to their press rolls and use predictive maintenance software to predict damage to the gears and bearings.

Let’s have a look at the steel industry. There are several furnaces in the steel plants that control temperature by using water cooling panels. Safety issues are caused by leakages in these panels, creating losses. IoT-centric predictive maintenance identifies such irregularities and performs a root cause analysis independently, putting an end to equipment failures and production delays.

Send us a message if your energy and maintenance bills are going through the roof. We can help you to increase productivity and reduce expenses with efficient use of IoT.

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