Description:The following describes the preferred embodiment of the invention:
Data Collection:
The system collects data from various sensors such as vibration sensors, magnetic flux sensors, temperature sensor and ultrasonic sensor that monitors the respective parameters of vibration, magnetic flux, temperature and ultrasounds. Further it stores these values in the form of a matrix corresponding to the system number for the data collected.
Data Processing:
The collected data uses MQTT protocol, which is a type of efficient transmission protocol used by IoT devices like sensors, wearable’s etc., to identify dominant frequencies in the vibration and magnetic flux spectrum. The edge level processing step includes analog data collection with variable sampling rates followed by conversion of the signal to spectrum generation. For removing noise from the respective spectrum, use of filters in the system is very significant for noise filtration. Peak or dominant frequency is identified from the filtered signal from which anomalies or faults are detected and identified.

Feature Extraction:
Significant features are extracted from the processed data, including features like anomaly detection, spectral features etc.. These features analyze the corresponding frequencies available and detect the respective patterns of real time values of vibration, magnetic flux, ultrasound and temperature. This is further stored in a local server which is responsible for broadcasting it to the subscribed client in the respective dashboard.

User Interface:
The interaction between users and the system takes place through a user-friendly interface that displays live monitoring of personalized data. The initial page of the dashboard includes an option named workshop which stores the information of the number of devices working. Every device displays live monitoring, alert mechanism for abnormal values, machine service status, number of starts and stops of the assets in the form of graphs, gauges etc.. Additionally there is also a page called diagnosis page which stores the information of early recorded data. The goal of this system is to give attention to failure alerts, make a more interactive GUI, which can be easy to use and most importantly it is understandable to a layman.

Security and Privacy:
The system ensures the security and privacy of user data by implementing encryption, access controls, and secure communication protocols. Only authorized personnel have access to the data, and users have control over how their data is shared and used. , Claims:We Claim:
1. A framework for real time device health monitoring at optimized edge enabled processing units.
2. With respect to claim 1, an systematic data converge casting strategy towards a common sink is proposed with MQTT protocol
3. As per claim 1 and claim 2, the gathered data is further processed in application layer for predictive analysis