Author name: 友电达(深圳)科技有限公司

Company news

Technology comes to the rescue! Our company urgently deployed monitoring equipment to...

Recently, a certain region in our country was hit by extremely heavy rain, triggering severe floods and geological disasters, and some of the hydrological monitoring facilities in the disaster area were damaged. The disaster situation is an order! After receiving the support request from the relevant departments, our company immediately activated the ...

Successful cases, 所有文章, 自然灾害监测

Build an intelligent slope safety defense line for rail transit

In the criss - cross railway and urban rail transit networks in our country, tens of thousands of slopes, like silent guardians, maintain the safety and smooth operation of the rail lines. However, under the long - term effects of natural weathering, rainwater erosion, train vibrations, and extreme weather, these slopes may deform, slide, or even collapse, seriously threatening the safety of train operations.

Successful cases, 所有文章, 自然灾害监测

How does the solar-powered IoT monitoring system install an "early warning radar" for small watersheds?

Mountain torrents are characterized by sudden onset, rapid disaster formation, and great destructive power, and are the main natural disasters in mountainous areas. This article focuses on the "last mile" problem of small - watershed mountain torrent early warning, and details how the solar - powered IoT monitoring system can break through the monitoring bottleneck in areas without electricity and network through ......

Successful cases, 所有文章, 自然灾害监测

The solar - powered IoT monitoring system enables accurate early warning of alpine avalanches

Avalanches, known as the "white death", are a worldwide challenge to predict. This article focuses on the extreme environmental challenges of alpine avalanche early warning and elaborates on how the solar-powered Internet of Things monitoring system can deploy a multi-parameter sensor network that is resistant to extreme cold and self-powered to monitor the key physical indicators of the snowpack in real time......

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