This device is a smart sensor powered by artificial intelligence image algorithms, and capable of ultra-high-precision displacement measurement. It performs non-contact, long-distance, large viewing-angle, high-frequency, high-precision , and long-termdeformation monitoring on feature sections (installed targets) or natural feature points of objects. By conducting multi-modal modeling analysis on the collected monitoring data, it identifies critical risk areas, providing robust decision-making support for timely risk mitigation and emergency response. The system enables real-time monitoring of deformation, inclination, and deflection, and is widely applied in disaster risk monitoring and early warning for scenarios such as reservoirs, slopes, bridges, tunnels, power grids, railways.

This device is a monitoring system designed for surface displacement monitoring. It supports BeiDou-3 navigation and features high precision, low power consumption (≤1.5W), integrated design, multi-frequency compatibility, cost-effectiveness, and portable installation. Equipped with a compact solar power system, it enables long-term monitoring in diverse scenarios, including geological hazards, road slopes, tailings ponds, open-pit mines, and other deformation monitoring applications.

This device features versatile application scenarios, flexible configuration of monitoring parameters and communication modes, ultra-low power consumption, moderate monitoring accuracy, remote intelligent management and control, integrated alarm triggering, and rapid deployment across multiple scenarios.

This device calculates rainfall by measuring the weight of individual raindrops based on the impact measurement principle. It features versatile application scenarios, flexibly configurable communication modes, ultra-low power consumption, remote intelligent management and control, integrated alarm triggering, and rapid deployment across multiple scenarios. Designed for remote measurement of rainfall parameters (e.g., precipitation amount, rainfall intensity), it ensures reliable monitoring in diverse environments.