• Prashant Ambadekar
• Hariranga Vakati
• Aniruddh Iyer
• Gokulraj Anilkumar
• Eashan Bhatt

This research paper investigates the data acquisition of a centrifugal pump using three sensors: a flow sensor, an accelerometer MPU6050, and an ultrasonic sensor HC-SR-04. The proposed work aims to identify any discrepancies between the sensor data and physical measurements and provide insight into potential issues with the sensors or pump. The results of this study can be used to improve the design and operation of centrifugal pumps, and ensure its performance meets the required specifications. The study validates the data collected by the sensors through physical measurements, including pump head, vibration, and flow rate. By comparing the sensor data with physical measurements, the accuracy and reliability of the sensors can be evaluated. The results show a negligible error for the accelerometer and the flow sensor which is of 0.71% and 0.40% respectively, and a small error for the ultrasonic sensor of 4.20%.

Centrifugal pumps, data acquisition, flow sensor, accelerometer, ultrasonic sensor, validation, physical measurements, pump performance, Raspberry Pi Pico

"Predictive Analysis of a Centrifugal Pump using Digital Twin", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l69-l75, April-2023, Available :http://www.jetir.org/papers/JETIR2304B12.pdf

"Predictive Analysis of a Centrifugal Pump using Digital Twin", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl69-l75, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B12.pdf