Abstract: In this work, we offer a thorough method for identifying energy loss in electrical circuits by utilizing readily available, reasonably priced components. The ZMCT103C current transformer sensor is used to measure current in our system, the NRF24L01 wireless communication module transmits data, and the Arduino Nano microcontroller serves as the central processing unit. Our system's main goal is to detect variations in current flow that might point to energy loss or circuit inefficiencies.
The foundation of current measurement is the ZMCT103C sensor, a current transformer. It faithfully depicts the amount of current flowing through the circuit being observed. The sensor data is processed by the Arduino Nano, which has analog input capabilities. It examines the current measurements using a pre-established algorithm to look for any unusual patterns that might point to instances of energy loss.
The NRF24L01 wireless module's integration allows the Arduino Nano and a central monitoring device to communicate with each other seamlessly. Because of its wireless capability, the monitoring unit can be placed in a convenient location and deployment flexibility is guaranteed. The system looks for variations in the expected current levels using a threshold-based algorithm. Alerts are set off by abrupt decreases or increases in current values, which suggest possible instances of energy loss.
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DOI:
10.17148/IJARCCE.2024.13450
