Author name: 友电达(深圳)科技有限公司

The weather station has been upgraded from a data collection point to a core node of the agricultural "digital brain". Long - term continuous micro - climate data, combined with AI models, provides a scientific basis for variety selection, farming calendars, yield prediction, and supply ...

As the "climate sentinel" of farmland, the solar weather station has established a digital early warning and automatic response network for disasters such as frost, dry and hot wind, and hail. Through accurate early warnings several ...

太阳能气象站驱动灌溉从“定时定量”变为按需响应。通过实时感知土壤水分、作物需水规律与气象预报，系统实现变量精准灌溉，在新疆棉田等场景中节水30%-50%，同时改善土壤生态，经济效益与生态效益同步提升。

太阳能农业气象站通过“光伏供电+物联网传感”组合，实现农田小气候无人化、全天候监测。它突破电力与网络限制，使精准农业从示范基地走向普通农田，将气象灾害损失降低20%-40%，成为现代农业的“基础设施型”技术。

The project deploys solar-powered drone nests to form a fully automated and precise operation network, transforming the traditional agricultural production mode and promoting the transformation of agriculture towards unmanned, data-driven, and environmentally friendly directions.

The project builds an air outpost independent of the power grid through a solar - powered unmanned aerial vehicle nest, providing rapid reconnaissance and communication relay for disaster - stricken areas, and achieving rapid response, independent operation, and long - lasting post - disaster emergency support.

We equip power transmission operation and maintenance workers with the "Wisdom Eye" - the icing monitoring system, which transforms the risks in the distant ice and snow into real-time data and images that can be warned and decision-making. It changes the traditional passive mode relying on manual inspections. Through accurate prediction and early warning of the icing trend, it realizes the operation and maintenance upgrade from "emergency rescue" to "pre-control", making every disposal more timely and scientific, and becoming a reliable partner to safeguard the power grid arteries and the lights of thousands of households.

This product is an online monitoring system for icing on transmission lines. Through high-precision sensing, edge computing, and Internet of Things technologies, it realizes real-time collection of data such as wire tension, inclination, meteorology, and images 24 hours a day, 7 days a week, and intelligently calculates the icing thickness. The system has a hierarchical automatic early warning function, providing a scientific basis for ice melting decision-making and operation and maintenance scheduling. It replaces passive response with active defense, helping the power grid operate safely and stably in severe cold and extreme environments.

Facing severe challenges such as winter icing, strong wind galloping and abnormal sag, traditional manual inspection can hardly ensure the safe and efficient operation and maintenance of transmission lines. Therefore, we have launched two intelligent monitoring solutions to build a three-dimensional protection network for the power grid with the power of technology.