Industrial machines equipped with smart sensors are continuously monitoring the status of each major component (vibrations, power consumption, noise, temperature, …) and they can detect any critical issues before the system is completely down. Smart sensors will trigger maintenance warning to the centralized system and the alert messages will be delivered to responsible persons/groups. Maintenance engineers can analyze the data and plan for scheduled maintenance effectively without affecting routine tasks.
Shortcomings and faults in the final product increase expenditure and overburden employees in a manufacturing industry. Digital twins replicate the developing product in a digital form. Whereas, by retrofitting sensors, industries gather data about their product’s entire working mechanism and the output expected from each module. The collected data from the digital replica enables managers to analyze the effectiveness, efficiency and accuracy of the system. They can also identify potential bottlenecks in their product that helps them to create a better version of their product. Lastly, digital Twins streamline operations like asset management and failure management. It supports industries in forecasting the completeness of their baseline and successfully follow their deadlines.
IOT sensors can measure the power consumption of machines. The data collected can be used to calculate hours of operation and compared with the operator’s work report. Increased consumption may indicate a potential machine failu
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