The construction of transmission line communication networks is relatively lagging behind, with some areas lacking public network signal coverage. The value mining of existing communication resources is not deep enough, and limited by the mode of power access, the monitoring device is prone to offline issues, resulting in blind spots in the monitoring area of transmission lines in areas without public networks. In order to address the issue of monitoring data transmission in these blind spots and unmanned areas for transmission line monitoring, this paper proposes a wireless AD network technology with low power wake-up for body and channel environment monitoring of transmission lines in areas without public networks, combined with multi-parameter data fusion. The device allows for automatic access of various wireless sensors and can pre-assess meteorological disaster risks on the transmission line. It can then transmit meteorological disaster information from areas without public networks to a remote operation and maintenance platform. Through testing, it has been demonstrated that the terminal can automatically wake up the networking module for data transmission based on results from multi-parameter data fusion analysis.

Multi-source sensing; Meteorological disaster; Risk assessment; Low power consumption; communication networking