IOT BASED DATA MONITORING AND PROTECTION SYSTEM FOR AC MACHINES

Techs: Hardware : Voltage Sensors (ZMPT101B), Current Sensors (ACS712) , Temperature Sensor (DHT11), Speed Sensor(A3144 ) , Relays, Power Supply(5v), Arduino Mega2560, EsP8266, Software: Bylnk app
Department: Electrical & Computer Engineering
MS Team URL: URL not found

This ground-breaking project pioneers an IoT-based solution for advanced monitoring and protection systems for Ac machines. Through the integration of cutting-edge sensor technology, the system meticulously measures four critical variables. Include "voltage, current, temperature and RPM”. Providing real-time visualization on the Bylnk app interface. Setting new standards in operational safety, the system incorporates a sophisticated protective algorithm, promptly detecting and responding to any deviation from present limits. In the event of a parameter exceeding its threshold, the system swiftly initiates a precise shutdown of machine's power supply, showcasing unparalleled efficiency and reliability in safeguarding valuable equipment and ensuring uninterrupted operation.

Objectives

1. Real time monitoring of AC machine performance. 2. Data visualization of complex machine data in an easily understandable format. 3. Protection mechanisms for three-phase Ac machine. 4. Enhancing operation efficiency by providing timely insights, and insight into performance metrics. 5. Ensure the reliability and accuracy of machine data through the integration of high-quality sensors and precise data processing algorithms. 6. Integration with IoT platform for monitoring to enable predictive maintenance and optimization capabilities. 7. Develop algorithms to automatically detect faults or abnormalities in the AC machines based on the sensor data. Provide diagnostic information to help identify the root cause of issues and facilitate troubleshooting. 8. Implement data backup procedures to prevent data loss in case of system failures or disasters. Set up a disaster recovery plan to quickly restore operations in the event of a major outage. 9. Ensure the system complies with relevant industry standards and regulations regarding data privacy, security, and machine safety. Keep abreast of any updates or changes to rules that may affect the project.

Socio-Economic Benefit

1. Improved Operational Safety: Improved operational safety through proactive monitoring and automatic shutdown mechanism. 2. Enhanced Efficiency: Enhanced efficiency by providing real-time insights into machine performance. 3. Reduced Downtime and Maintenance Cost: Reduced downtime and maintenance cost through predictive maintenance strategies. 4. Remote Accessibility: Remote accessibility allows the user to monitor and manage data from anywhere. 5. Equipment Protection: Protection of equipment from damage and potential failure through advanced protective measures. 6. User-Friendly Interface: User friendly interface ensures ease of use and maximum utilization of system. 7. Integration with IoT Platform: Integration with IoT platform enables advanced analytics and optimization capabilities.

Methodologies

1. Planning and requirements gathering 2. System design 3. Sensor integration 4. Development of Monitoring interface 5. Algorithm development 6. Hardware implementation 7. Software Development 8. Testing and validation 9. Deployment 10. Training and documentation 11. Maintenance and support

Outcome

1. Enhanced monitoring capabilities for voltage, current, temperature, and speed. 2. Improved safety through timely fault detection and protection mechanisms. 3. Remote accessibility via the Blynk app for monitoring and receiving fault notifications. 4. Increased efficiency by minimizing downtime and optimizing maintenance. 5. Data-driven insights for performance optimization and decision-making. 6. Cost savings by preventing damages and optimizing maintenance schedules.

Project Team Members

Registration# Name Email
FA20-BEE-175 MUHAMMAD HASEEB mmuhammadhaseeb2002@gmail.com
FA20-BEE-022 TALHA SIDDIQUE talha.bhatti464615@gmail.com
FA20-BEE-023 RAJA MUHAMMAD HAMAS hamasraja0000@gmail.com

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