Equipment failure can cause a huge impact on business in the manufacturing industry. It is critical to keep production line rolling. One of the reasons, this can occur is due to insufficient oil level. Sometimes the oil is not in the stock and takes a few days to procure it. This system monitors the oil level and indicates to the user, if the level is below certain level. The backend of the system uses Azure IOT stream analytics and shows the trend of oil consumption. It can be used for predictive maintenance. The system can also tell, if there is unusual consumption of oil that can be caused by potential leakage or other issues.
The system comprises of a force sensor that is connected to the Raspberry Pi. Maintenance engine on the Raspberry Pi will periodically check the weight measured by the sensor. It will notify the weight to the UWP App and Azure. The UWP app will display the level on the screen. On Azure, an IOT suite will consume the telemetry data and define the business rules that will send messages to the Raspberry Pi based on the oil level. The maintenance engine on the Raspberry Pi will listen to the message and transmit them to the app for displaying to the user. The critical messages will also activate LED on the hardware.
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