Design and Development of Efficient Energy Systems. Группа авторов

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Design and Development of Efficient Energy Systems - Группа авторов


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scavenging were reported across the country in 2017 alone, according to a reply given by the Ministry of Social Justice and Empowerment to the Lok Sabha in December last year.

Schematic illustration of experimental design.

      Many cities across the world are facing drainage system problems. Implementing this proposed system can put an end to manual scavenging and the deaths of many manual scavengers. Such a system can enhance cleanliness and reduce the number of people who get sick from sewage exposure.

      The proposed system is used to detect gas leakage and cracks with the help of IOT sensors such as Arduino Uno sensor, Raspberry Pi3. Sewer gas is detected with the help of a gas sensor. An alert is given to the control room when the normal threshold level is exceeded. The proposed Tristate pattern can be used to train the sensor datas and find the risk level of the gas. A vibration sensor attached to Raspberry Pi3 can be used to detect crack and take immediate remedies.

      1. Okolo, C. and Meydan, T., (2018). Pulsed magnetic flux leakage method for hairline crack detection and characterization. AIP Advances, 8(4), p. 047207.

      2. Ghidoni, S., Antonello, M., Nanni, L. and Menegatti, E., (2015). A thermographic visual inspection system for crack detection in metal parts exploiting a robotic workcell. Robotics and Autonomous Systems, 74, pp. 351-359.

      3. Maffren, T., Juncar, P., Lepoutre, F. and Deban, G., (2012). Crack detection in high-pressure turbine blades with flying spot active thermography in the SWIR range.

      4. Maldague, X., Galmiche, F. and Ziadi, A., (2002). Advances in pulsed phase thermography. Infrared Physics & Technology, 43(3-5), pp. 175-181.

      6. Ghidoni, S., Antonello, M., Nanni, L. and Menegatti, E., (2015). A thermographic visual inspection system for crack detection in metal parts exploiting a robotic workcell. Robotics and Autonomous Systems, 74, pp. 351-359.

      7. Kersey, R., Staroselsky, A., Dudzinski, D. and Genest, M., (2013). Thermomechanical fatigue crack growth from laser drilled holes in single crystal nickel based superalloy. International Journal of Fatigue, 55, pp. 183-193.

      8. Shafeek, H., Gadelmawla, E., Abdel-Shafy, A. and Elewa, I., (2004). Assessment of welding defects for gas pipeline radiographs using computer vision. NDT & E International, 37(4), pp. 291-299.

      9. Mehrabi, P., Hui, J., Janfaza, S., O’Brien, A., Tasnim, N., Najjaran, H. and Hoorfar, M., (2020). Fabrication of SnO2 Composite Nanofiber-Based Gas Sensor Using the Electrospinning Method for Tetrahydrocannabinol (THC) Detection. Micromachines, 11(2), p. 190.

      10. Bandyopadhyay, D. and Sen, J., (2011). Internet of Things: Applications and Challenges in Technology and Standardization. Wireless Personal Communications, 58(1), pp .49-69.

      11. Hu, Z., Bai, Z., Bian, K., Wang, T. and Song, L., (2019). Real-Time Fine-Grained Air Quality Sensing Networks in Smart City: Design, Implementation, and Optimization. IEEE Internet of Things Journal, 6(5), pp. 7526-7542.

      12. Lihui Lv, L., Wenqing Liu, W., Guangqiang Fan, G., Tianshu Zhang, T., Yunsheng Dong, Y., Zhenyi Chen, Z., Yang Liu, Y., Haoyun Huang, H. and and Yang Zhou, a., (2016). Application of mobile vehicle lidar for urban air pollution monitoring. Chinese Optics Letters, 14(6), pp. 060101-60106.

      13. Kersey, R., Staroselsky, A., Dudzinski, D. and Genest, M., (2013). Thermomechanical fatigue crack growth from laser drilled holes in single crystal nickel based superalloy. International Journal of Fatigue, 55, pp. 183-193.

      14. Li, X., Lu, R., Liang, X., Shen, X., Chen, J. and Lin, X., (2011). Smart community: an internet of things application. IEEE Communications Magazine, 49(11), pp. 68-75.

      15. Ramos, P., Pereira, J., Ramos, H. and Ribeiro, A., (2008). A Four-Terminal Water-Quality-Monitoring Conductivity Sensor. IEEE Transactions on Instrumentation and Measurement, 57(3), pp. 577-583.

      16. Sinha, N. and Alex, J., (2015). IoT Based iPower Saver Meter. Indian Journal of Science and Technology, 8(19).

      17. Mukherjee, S., Pramanik, S. and Mukherjee, S., (2014). A Comprehensive Review of Recent Advances in Magnesia Carbon Refractories. Interceram - International Ceramic Review, 63(3), pp.90-98.

      18. HU, M. and WU, G., (2008). Multiple model control algorithm based on immune system. Journal of Computer Applications, 28(2), pp. 297-301.

      19. Fioccola, G., Donadio, P., Canonico, R. and Ventre, G., (2016). A PCE-based architecture for green management of virtual infrastructures. Computer Communications, 91-92, pp.62-75.

      20. http://www.thehindu.com/todays-paper/tp-national/tp-tamilnadu/Their-life-clogged-withdangers/article15322576.ece

      21. http://www.thehindu.com/opinion/op-ed/deaths-in-the-drains/article5868090.ece

      22. https://www.arduino.cc/reference/en/

      23. http://howtomechatronics.com/tutorials/arduino/ultrasonic-sensor-hc-sr04/

      24. http://www.learningaboutelectronics.com/Articles/LM35-temperature-sensor-circuit.php

      25. http://www.instructables.com/id/How-to-use-MQ2-Gas-Sensor-Arduino-Tutorial/

      27.


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