<![CDATA[Disturbances in power distribution networks, such as growing trees or the presence of animals near electrical cables, can disrupt electricity flow and pose safety risks. To address this, a remote monitoring system was developed using LoRa (Long Range) communication for long-distance, low-power data transmission. The system integrates a JSN-SR04T ultrasonic sensor to measure the distance between objects (e.g., trees) and power lines. When the detected distance is less than the safe limit of 2.5 meters, a warning buzzer is triggered, and the ESP32-CAM module captures an image of the surrounding area. Data and images are transmitted via LoRa RA-02 in a point-to-point setup and displayed in real-time using an IoT platform. Testing results show that the ultrasonic sensor provides accurate measurements with an average error of 1.12%. LoRa communication remained reliable up to approximately 348 meters, with minor interference caused by physical obstacles. The ESP32-CAM successfully captured images when objects were detected. This system proves to be effective for early detection and monitoring of potential disturbances in power distribution networks]]>
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