Rural agricultural areas face severe safety risks due to fallen electrical conductors caused by weather conditions, pole damage, or aging power lines. This paper proposes a dual-post automated detection and alert system that deploys voltage and current sensors at two distribution line posts. Post 2 (field unit) monitors line voltage using a ZMPT101B sensor; when voltage drops to or below 50 V it transmits a fault signal to Post 1 (transformer unit) via serial communication. Post 1 triggers an automatic relay-based power cut-off and dispatches SMS alerts to farmers via GSM. The system also detects energy theft by comparing current readings between the two posts. A 16×2 LCD and buzzer provide local status indication at each post. Laboratory testing confirmed reliable fault detection, timely SMS notification, and effective power isolation.

This paper presented a dual-post transformer line fall detection and alert system. Post 2 monitors voltage and current at the field pole and transmits a fault character to Post 1 via SoftwareSerial when voltage drops below 50 V. Post 1 cuts off power through a relay and sends dual SMS alerts via GSM. Energy theft detection compares current readings at both posts. Laboratory testing confirmed reliable fault detection, timely SMS notification, and effective power isolation. Future work will focus on field deployment, replacing the wired serial link with ZigBee for wireless operation, integrating GPS-based fault location, and developing a mobile dashboard for centralized monitoring.

[1]S. K. Singh and V. S. Bisht, “Soft computing based approach for ascertaining evolving faults in compensated lines,” 2025. [2]M. Al-Sultan and I. Avci, “Advanced transmission line fault protection including the voltage sag,” 2025. [3]D. Liang et al., “Advanced sensing techniques for cable fault detection enhanced by PLC and residual neural networks,” 2025. [4]S. K. Behera et al., “Fault detection in transmission line by using IoT,” 2024. [5]S. Kanwal and S. Jiriwibhakorn, “Advanced fault detection, classification, and localization in transmission lines: A comparative study,” 2024. Y. Wu et al., “Ubi-asthma: toward ubiquitous asthma detection using the smartwatch,” IEEE Internet of Things Journal, vol. 10, no. 13, pp. 11576– 11587, 2023.

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