Road condition meteorological station

RH-D6 Road Condition Meteorological Station is a specialized product that integrates meteorological science, traffic engineering, and information technology. It transforms "invisible risks" into "visible data" and becomes a key node in the perception layer of smart transportation, providing a solid data foundation and decision support for improving road network resilience, ensuring public life and property safety, and achieving intelligent traffic management.

RH-D6Road condition meteorological station

The cornerstone of meteorological perception for road safety and intelligent transportation

Core value: From meteorological monitoring to proactive safety warning

Severe weather is the primary non-human factor affecting road traffic safety. Meteorological conditions such as heavy fog, road icing, heavy rainfall, snow accumulation, and high temperatures can directly lead to a sharp drop in visibility and changes in road adhesion coefficient, greatly increasing the risk of accidents.fortrafficsafeHighway meteorological stations are specialized and scenario based monitoring solutions designed to solve this problem.

It is not a simple meteorological parameter collector, but a front-end perception system that integrates multi-dimensional environmental perception, road condition recognition, data intelligent analysis, and remote warning release. Its core value lies in transforming discrete meteorological information into structured decision-making basis that serves highway maintenance, traffic control, and public travel safety, achievingfrom“Afterwards, it should beright”to“Pre warning and in-process managementcontrol”The transformation of proactive traffic safety management.

Analysis of core functions and monitoring elements

The system is designed to meet the special needs of transportation scenarios了“sky-land”An integrated monitoring system that focuses on key indicators that directly affect driving safety.

System features and functions：

1、Dual mode power supply guarantee: supports complementary power supply between mains and solar energy, ensuring that the system can continue to operate even in remote areas without mains circuit sections or when mains power is interruptedmake, do, create, compose, write, etc.7Over days, ensure uninterrupted monitoring.

2、High reliability and adaptability: The bracket adopts anti-corrosion technology to adapt to harsh environments along the road; Local data storage capacity supports longreach6Reviewing historical data from the year meets the needs of accident analysis and scientific research.

3、Flexible Communication and Integration: SupportholdGPRS/4GMultiple methods such as satellite communication, providing standard data interfaces and protocols（asModbuS）It can easily access various levels of traffic monitoring centers, road network management platforms, or public travel service systems.

System composition and data flow

The system adopts a modular design, mainly consisting of the following parts to form a stable and reliable data acquisition and transmission link:

1、Sensor array: Select combination sensors based on the risk characteristics of road sections, such as bridge icing, foggy mountainous areas, and unstable slopes.

2、Intelligent collection host: responsible for data aggregation, preliminary processing, local storage, and protocol conversion.

3、Power supply and communication module: dual-mode power supply system and wireless transmission unit ensure independent and stable operation of the system.

4、Monitoring Center Platform: Receive data, perform visual display, threshold alarm, statistical analysis, and support pushing warning information to variable intelligence boards（VMS）, leadnavigationAppOr the maintenance department.

Typical application scenarios and decision support

This system can provide targeted data support in different traffic scenarios:

Scenario 1: Highway Fog and Ice Warning

Deployment locations: high accident prone road sections such as bridges, wind vents, and valleys.

Data application: When the visibility is below the threshold and the road surface temperature is close to freezing point, the system automatically sendscloth“Low visibilitydegree+Ice winddanger” Second level warning. The dispatch center can activate the fog guidance system, limit vehicle speed, and notify maintenance units to spread snow melting agents in advance based on this.

Scenario 2: Prevention of Geological Hazards on Mountainous Highways

Deployment location: High slope and geologically fragile road sections.

Data application: Long term monitoring of soil moisture content and rainfall, establishing risk models. After continuous heavy rainfall, if the soil moisture rapidly saturates, the system will issue a slope instability warning to support the management department in deciding whether to carry out preventive road closures or inspections.

Scenario 3: Safety control of urban expressways and tunnel entrances

Deployment locations: tunnel entrances and exits, bends, and water accumulation points.

Data application: Monitor local fog that may be caused by temperature and humidity differences inside and outside the tunnel; Real time monitoring of water accumulation depth in low-lying areas. Data linkage traffic signal and control, timely guide traffic flow in case of emergencies, and avoid secondary accidents.

Scenario 4: Railway andmachineMonitoring around the station

Deployment locations: along railway lines (especially high-speed railways) and around airport runways.

Data application: Monitoring lateral wind and trackthe Way/The surface temperature and icing condition of the runway provide refined meteorological basis for train deceleration and flight takeoff and landing, ensuring safe and on-time operation.

summary

RH-D6Road condition meteorological stationIt is a specialized product that integrates meteorological science, transportation engineering, and information technology. It passes throughTranslate into English“Invisible winddanger”transformationfor“Visible numbersaccording to”To become a key node in the perception layer of intelligent transportation, providing a solid data foundation and decision support for enhancing road network resilience, safeguarding public life and property safety, and achieving intelligent traffic management.