Condition and Monitoring Of Boiler Parameters by Cbm Using Raspberry Pi Controller
S. Jaisiva1,V.Vijayabharathi2, P.Vel3, S. Sarans4
1S. Jaisiva, Associate Professor*, Department of EEE, IFET College of Engineering, Villupuram, (Tamilnadu), India.
2V. Vijayabharathi, UG Student, Department of EEE, IFET College of Engineering, Villupuram, (Tamilnadu), India.
3P. Vel, UG Student, Department of EEE, IFET College of Engineering, Villupuram, (Tamilnadu), India.
4S. Saran, UG Student, Department of EEE, IFET College of Engineering, Villupuram, (Tamilnadu), India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 732-731 | Volume-8 Issue-6, August 2019. | Retrieval Number: F7982088619/2019©BEIESP | DOI: 10.35940/ijeat.F7982.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s modern world, mechanical strength is just one of the many criteria that determine the superiority of any boiler. There are many other more important aspects such as efficiency, 24-hour availability, ease of maintenance, environmental compliance, etc. Modern high-pressure boilers that are equipped with areas optimized for heat transfer due to its nominal load require some of the important operating parameters to be carefully checked to maintain constant production. Thought instrumentation is a very broad topic to discuss, this document highlights some of the tools and control circuits necessary for safe, economical and reliable operation of boilers. In this research project we are monitoring and controlling six important parameters with which the output of the process will be stable. Here we are using parameters sensors: oxygen sensor, humidity sensor, flow sensor, current sensor. This project uses the RASPBERRY PI microcontroller, the output of the sensors produces the analog signal, this signal directly connected to the Raspberry pi microcontroller. The controlled parameters tend to stabilize ensuring the quality of the process in the boiler.
Keywords: Raspberry pi, Flow sensor, current sensor, humidity sensor.