Iot Based Ac load Monitoring
Iot Based Ac load Monitoring with Timer and Bylnk 2.0
An IoT-based AC load monitoring system using ESP32 microcontroller, SCT013 current sensor, ZMP101B voltage sensor, and integrated with Blynk 2.0 allows users to monitor and analyze the power consumption of AC loads remotely. Here's a step-by-step explanation of how the system works:
Current and Voltage Sensing: Connect the SCT013 current sensor to measure the AC current flowing through the load and the ZMP101B voltage sensor to measure the AC voltage supplied to the load. These sensors provide analog output signals proportional to the current and voltage levels.
ESP32 Microcontroller: Use the ESP32 microcontroller as the central processing unit of the system. Connect the current and voltage sensors to the appropriate pins of the ESP32. The microcontroller reads the analog signals from the sensors and converts them into digital values for further processing.
Calibration and Signal Conditioning: Calibrate the sensors to ensure accurate measurements. Apply signal conditioning techniques to adjust and normalize the sensor data, accounting for any offset or non-linearities.
Power Calculation: Use the measured current and voltage values to calculate the instantaneous power consumption of the AC load. Multiply the voltage and current values at each point in time to obtain the power in watts.
Data Processing and Analysis: The ESP32 microcontroller processes the power consumption data, such as averaging or smoothing over a period of time, to obtain more stable and meaningful readings. It can perform additional computations like calculating cumulative energy consumption or estimating costs.
Blynk Integration: Integrate the ESP32 with the Blynk 2.0 platform using Wi-Fi or Ethernet connectivity. Configure the Blynk application to receive and display the power consumption data. Users can access the data remotely through the Blynk mobile application.
Remote Monitoring and Control: Users can remotely monitor the power consumption of the AC load in real-time through the Blynk application. They can view the current power readings, historical data, and set alerts or notifications for specific power thresholds.
Energy Management and Optimization: With the power consumption data readily available, users can analyze usage patterns, identify energy-efficient practices, and make informed decisions to optimize their energy consumption and reduce costs.