1, predictive maintenance predictive maintenance
Predictive maintenance predictive maintenance has been one of the most significant role of the industrial Internet of Things, with sensors on the various parts of the machine temperature, vibration, power consumption, and other data monitoring, the user can always find the abnormalities of the equipment, in advance of the shutdown time for maintenance, to avoid unexpected downtime affecting production. Avoid unexpected downtime affecting production. Users can even simulate the scene function, through the Yi Yun system built-in pictures or upload pictures by themselves, to build a corresponding scene, the collected data will be displayed in the scene in the corresponding position, through the scene of the data and picture changes, to monitor the status of the equipment at any time.
2. Automatic control of data collected by general sensors
Automatic control of data collected by general sensors often needs to be displayed on a computer or human-machine interface, and staff can manually control the start/stop of the equipment or raise/lower the power by observing the data status. Through the easy cloud system comes with the logic control function, you can directly in the equipment and need to control the logic between the equipment, through the PLC, or other control methods, according to the data changes, automatically adjust the equipment running state, reduce time waste.
3, mining data connotation
Tapping data connotation. The data collected by the sensors and the data fed back from the equipment will eventually be analyzed and researched to become beneficial information for the company, providing decision-making support for the company. Such as monitoring data analysis of the product side, to find the weakness of the machinery or the failure of the law, in the improvement of the process to strengthen the target, to enhance product quality and competitiveness and so on.