Shandong Fengtu IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China

Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2025-07-04 09:26:28 source:Weather Station viewed:274 time
Rain, fog, and other harsh weather conditions are major "adversaries" threatening traffic safety. Low visibility in particular severely impairs drivers' vision, highly increasing the risk of traffic accidents and causing casualties and property losses. The emergence of Atmospheric Visibility Sensors has enhanced the safety of expressways during rainy and foggy days.
These sensors are typically installed at key locations along roadways, such as bridges, curves, long downhill sections, and other accident-prone areas. Set up at regular intervals, they form a tight monitoring network to continuously measure visibility in the surrounding areas. Once rain or fog arrives and visibility drops, the monitors quickly respond, transmitting real-time data to the traffic management department's control center in minute-level or even second-level speed.
When visibility falls below the safety threshold, the system immediately activates the early warning mechanism. On one hand, variable message boards along the expressway release eye-catching warning information to passing drivers, notifying them of the visibility conditions ahead and reminding them to slow down and maintain safe following distances. On the other hand, traffic management departments scientifically formulate traffic control measures based on the data. If visibility is extremely low, speed limits, closures, or other measures may be taken for certain sections to ensure driving safety. When a sudden drop in visibility is detected, the system simultaneously triggers tunnel broadcast prompts and lane indicator light switching to guide drivers through safely.
Atmospheric Visibility Sensors can also integrate with intelligent street lighting systems to automatically increase streetlight brightness during low visibility, and cooperate with vehicle autonomous driving assistance systems to provide them with external environmental visibility information, aiding vehicles in making more reasonable driving decisions.
For example, Atmospheric Visibility Sensors act as the "see-through eyes" of expressways. In harsh weather like rain and fog, they provide data for traffic management and timely warnings for drivers, safeguarding expressway traffic safety and improving road traffic efficiency.

In meteorological monitoring, movable meteorological observation instruments that integrate multiple meteorological elements play a significant role. Handheld Weather Station is a typical example among them. With obvious advantages, it is being increasingly widely used.The Handheld Weather Station h...
Agricultural Weather Stations is a high-precision observation device specifically designed for monitoring and recording meteorological data in fields and forest areas. It can automatically monitor the climate of farmland or forest areas, measuring common meteorological elements such as air temperature, humidity, soil moisture, soil temperature, wind speed, wind direction, rainfall, and light intensity. The data is used to guide precision irrigation, fertilization, and pest and disease control, improving crop yields. Furthermore, it optimizes greenhouse environmental control by analyzing temperature, humidity, and light data....
For a long time, agricultural production has largely relied on experience and the observation of the weather. When it comes to sowing, irrigation and dealing with extreme weather conditions, decisions often depend on traditional wisdom passed down orally. Nowadays, agricultural meteorological statio...
As industrialization speeds up and cities expand, air quality has become a growing concern. Traditional fixed - station air quality monitoring offers precise data but has drawbacks like high costs, limited monitoring areas, and inability to collect continuous spatiotemporal data. Mobile air quality...