MSME idea 1 fuel level Ameena.Its very useful.pptx

Fuel level detection

1. IoT Enabled Fuel Level Monitoring and Distance Indicating System By ARUNACHALAM.R(920822106003) JEYAN JAMES RAJ.A(920822106027) VENKATESH.K(920822106060) SANJAY.M(920822106047) Mentor Dr.M.Ameena Banu , Professor/Dept. of ECE, NPR College of Engineering and Technology, Natham - 624401, Dindigul District.

2. C ONTENTS Problem Statement Synopsis Block Diagram Necessity to the Society Innovation aspect Technical Feasibility Commercial Viability Green Energy and Sustainability aspect Resource Availability Scalability Funds Requirement Planning

3. Problem Statement Domain Name : Sustainable Development A fuel level monitoring system is one such technology which can monitor the current level of the fuel on the go and indicate approximate distance it can move with that fuel. The system consists of a sensor system which includes an ultrasonic sensor for fuel level monitoring, a flow sensor for fuel leakage detection and a microcontroller circuit to estimate the approximate distance the vehicle can move with that fuel.

4. Synopsis When fuel is insufficient, the user faces immediate risks like the vehicle stalling, which can leave them stranded at the place where no one is available. The IoT -Enabled Fuel Level Monitoring and Distance Indicating System is a cutting-edge technology that leverages the Internet of Things ( IoT ) to track and monitor the fuel level and distance to be traveled by vehicles. By combining sensors, connectivity, and data analytics, this system provides real-time insights into fuel efficiency, human safety, and overall vehicle operational performance.

5. Block Diagram ULTRASONIC SENSOR ADC MICROPROCESSOR BUZZER LED display Fuel tank Level detector POWER SUPPLY

6. Necessity to the Society Fuel efficiency: By providing real-time data on fuel consumption and identifying inefficiencies, these systems can help human to avoid , contributing to a more sustainable environment. Human Safety: When fuel consumed utterly, the vehicle stalling at the mid way which creates safety issues for the human being.

7. Innovation aspect Vehicle telematics: Integrating with vehicle telematics systems provides additional data points, such as driving behavior and engine performance, for more comprehensive analysis. Fleet management software: Seamless integration with fleet management software streamlines operations and provides a unified view of vehicle performance. GPS tracking: Combining fuel level monitoring with GPS tracking enables precise location tracking and route optimization.

8. Technical feasibility Accuracy: Sensors must provide accurate readings of fuel levels and distance traveled to ensure reliable data. Durability: Sensors should be durable enough to withstand harsh environmental conditions and vibrations. Power consumption: Low-power sensors are essential for extending battery life and reducing maintenance costs.

9. Commercial Viability Long-term savings : While there may be initial costs for hardware, installation, and platform subscriptions, the long-term savings from reduced fuel consumption and improved efficiency often outweigh these expenses. Enhanced asset management : Optimized asset utilization and reduced maintenance costs can further contribute to cost savings.

10. Green Energy and Sustainability aspect Efficiency improvements: By identifying inefficiencies in fuel usage, these systems can help reduce fuel consumption and emissions. Route optimization: Analyzing data on distance traveled and fuel consumption can lead to more efficient routes, minimizing fuel waste.

11. Resource Availability Sensors: Various types of sensors, including fuel level sensors and odometers, are readily available from a wide range of manufacturers. IoT gateways: IoT gateways that can connect sensors to the cloud are available from companies like Telit , Sierra Wireless, and Digi International. Microcontrollers and development boards: Platforms like Arduino , Raspberry Pi, and ESP32 can be used to build custom IoT solutions. Other resources required will be supported by the Host Institution.

12. Scalability Scalable infrastructure: Cloud-based platforms can automatically scale resources up or down to handle varying workloads. Data storage and processing: Cloud providers offer scalable data storage and processing capabilities, ensuring that the system can handle large amounts of data.

13. Resource Requirement Planning Sl. No. Particulars Expenditure (approx.) In Rs . 1. Raw materials / Consumables/Spares 7,00,000 2. Software development 1,50,000 3. Fabrication / Synthesis charges of working model 2,00,000 4. Other miscellaneous expenses 3,00,000 Total 13,50,000 Timeline to complete the work: 9 months (approx.)

14. THANK YOU