A mobile road surface weather monitoring system and method

Abstract

This invention discloses a mobile road weather monitoring system and method, addressing the technical problems of existing fixed road weather condition sensors having small monitoring range, high deployment costs, and inability to obtain real-time road weather condition information. The monitoring system includes a main control unit and at least one weather monitoring module mounted on a moving vehicle. Each weather monitoring module includes a first sensor unit, a second sensor unit, a data acquisition unit, an information analysis and processing unit, and a data communication unit. The first and second sensor units are respectively connected to the input end of the data acquisition unit to acquire road weather information. The input end of the information analysis and processing unit is connected to the output end of the data acquisition unit, and its output end is connected to the data communication unit. The main control unit is connected to the data communication unit in each weather monitoring module via a wireless network.

Description

Technical Field

[0001] This invention relates to a road weather monitoring system, specifically a mobile road weather monitoring system and method. Background Technology

[0002] In recent years, the density of the expressway network has been continuously increasing, and the scale of the highway network has been gradually expanding, bringing great convenience to public travel. However, due to complex terrain conditions, changeable climate, and frequent major natural disasters, the impact of abnormal, sudden, and unpredictable natural disasters is becoming increasingly prominent, leading to a year-on-year increase in traffic accidents. Therefore, timely collection of road information, understanding of road weather conditions, and timely issuance of hazard warnings can reduce the probability of accidents.

[0003] Highway road surface meteorological information mainly includes road surface temperature, road surface dryness, water accumulation, snow accumulation, and icing. This information directly affects driving safety and traffic efficiency. Since normal vehicle operation relies on the friction between the tires and the road surface, the presence of natural weather phenomena such as water accumulation, snow accumulation, freezing, and black ice significantly reduces the road surface's coefficient of friction, thereby reducing the friction between the tires and the road surface and increasing the braking distance of vehicles. The lower the coefficient of friction, the lower the upper limit of safe driving speed, and drivers need to adjust their speed promptly according to road conditions.

[0004] Road surface weather conditions are generally classified as follows: ① Dry: The road surface contains no free moisture; ② Waterlogged: The road surface contains free moisture, and the water film thickness is greater than or equal to 1 mm; ③ Icy: The road surface contains no free moisture, and the road surface is covered with an ice layer; ④ Snow: The road surface contains no free moisture, and the road surface is covered with a snow layer. These categories also include intermediate sub-categories such as wet road surface, mixed ice and water, and mixed ice and snow.

[0005] Currently, the road surface weather sensors used on highways are mainly fixed sensors. These sensors are installed and fixed in specific locations, capable of measuring a small, fixed area of ​​the road surface. Fixed road surface weather sensors can be further divided into two categories: embedded and non-contact remote sensing. Embedded road surface condition sensors are installed and fixed at specific locations along the roadside, directly contacting the road surface attachments. They determine the road surface conditions such as water accumulation, icing, and snow accumulation by measuring the road surface conductivity. Non-contact remote sensing road surface weather monitoring units are generally fixed on the roadside and mostly use optical sensing measurement methods, which can only detect the road surface weather conditions in a fixed area.

[0006] Fixed road weather condition sensors are less affected by road surface undulations and vehicle vibrations due to their fixed installation location, resulting in high measurement accuracy. However, they have the following significant drawbacks in application:

[0007] (1) Fixed road weather condition sensors can only monitor the road weather conditions near a fixed location. They can only approximate the road weather condition information in a small area around the location, and the representativeness of the monitored road section is limited.

[0008] (2) Constructing a large-scale regional traffic surface meteorological status network at the road network level is of great significance for carrying out active vehicle safety control and road collaborative management. However, using fixed road surface meteorological condition sensors requires dense deployment along the highway, which is a large number and has huge implementation costs.

[0009] (3) In the future, in the application scenarios of unmanned autonomous driving and intelligent vehicle-road cooperation, it is necessary to obtain the road surface weather conditions information of the road on which the vehicle travels in real time. Fixed road surface weather condition sensors obviously cannot meet this application requirement. Summary of the Invention

[0010] The purpose of this invention is to solve the technical problems of existing fixed road weather condition sensors having a small monitoring range, high deployment cost, and inability to meet the requirement of real-time acquisition of road weather condition information, and to provide a mobile road weather monitoring system and method.

[0011] To solve the above-mentioned technical problems, the technical solution provided by the present invention is as follows.

[0012] A mobile road weather monitoring system, which is special in that:

[0013] Includes a main control unit and at least one weather monitoring module for mounting on a moving vehicle;

[0014] Each meteorological monitoring module includes a first sensor unit, a second sensor unit, a data acquisition unit, an information analysis and processing unit, and a data communication unit;

[0015] The first sensor unit and the second sensor unit are respectively connected to the input terminal of the data acquisition unit, and are used to acquire road weather information and transmit it to the data acquisition unit;

[0016] The input end of the information analysis and processing unit is connected to the output end of the data acquisition unit, and the output end of the information analysis and processing unit is connected to the data communication unit.

[0017] The main control unit is connected to the data communication unit in each meteorological monitoring module via a wireless network; the information analysis and processing unit is used to process the received road meteorological information into data information, which is then transmitted to the main control unit by the data communication unit via the wireless network.

[0018] Furthermore, the meteorological monitoring module also includes a remote vision unit connected to the input end of the data acquisition unit. The remote vision unit is used to acquire image or video information of the scene near the road surface to be tested.

[0019] Furthermore, the meteorological monitoring module also includes a local storage unit connected to the information analysis and processing unit.

[0020] Furthermore, the meteorological monitoring module also includes a remote cloud connected to the data communication unit via a wireless network, wherein the remote cloud is one or more of a computer, a mobile phone, and a server.

[0021] Furthermore, the first sensor unit includes a multi-wavelength light source, a light combiner, and a photodetector connected in sequence; the multi-wavelength light source is used to emit incident light of different wavelengths; the light combiner is used to combine incident light of different wavelengths into an outgoing beam, and the outgoing beam enters the photodetector after being reflected by the road surface.

[0022] The output end of the photodetector is connected to the input end of the data acquisition unit, and is used to convert the received optical signal into an electrical signal and transmit it to the data acquisition unit.

[0023] Furthermore, the operating wavelength range of the multi-wavelength light source is 700nm to 1700nm.

[0024] Furthermore, the second sensor unit includes a laser rangefinder, a temperature sensor, a humidity sensor, a geographic location sensor, a wind speed sensor, a wind direction sensor, and an altitude sensor, all of which are connected to the input terminal of the data acquisition unit.

[0025] This invention also provides a mobile road weather monitoring method, characterized in that it employs the mobile road weather monitoring system described in this invention, comprising the following steps:

[0026] S1, Install the weather monitoring module on a moving vehicle;

[0027] S2, the data acquisition unit collects road weather information obtained by the first sensor unit and the second sensor unit, and feeds it back to the information analysis and processing unit; the road weather information obtained by the first sensor unit is the road weather condition at the location of the vehicle, including water accumulation, snow accumulation, and icing conditions; the road weather information obtained by the second sensor unit includes the distance between the second sensor unit and the ground, the geographical location of the location, road surface temperature, humidity, wind speed, wind direction, and altitude information;

[0028] S3, the information analysis and processing unit analyzes and processes the received road meteorological information to obtain road meteorological data information;

[0029] S4, the data communication unit transmits road weather data to the main control unit via a wireless network, thereby completing the monitoring of road weather.

[0030] Furthermore, S3 specifically refers to:

[0031] S3.1, the information analysis and processing unit converts the road meteorological information acquired by the first sensor unit into corresponding road meteorological status data information through the road meteorological discrimination algorithm;

[0032] S3.2, The distance information between the second sensor unit and the ground is converted into road surface unevenness data information through the singularity removal algorithm and the moving average method;

[0033] S3.3, the information analysis and processing unit integrates the road surface meteorological status data obtained in step S3.1, the road surface unevenness data obtained in step S3.2, and the geographical location, road surface temperature, humidity, wind speed, wind direction and altitude information obtained by the second sensor unit to obtain complete road surface meteorological data information.

[0034] Furthermore, it also includes S5, a data communication unit that transmits road weather data to a remote cloud via a wireless network.

[0035] The advantages of this invention compared to the prior art are as follows:

[0036] 1. The mobile road weather monitoring system designed in this invention is mounted on a moving vehicle. It monitors road surface information in real time through a weather monitoring module and accurately judges the road weather conditions. Because the vehicle travels over a wide range and for a long time, it can generate a large amount of data, which significantly reduces the cost of deploying a large-scale monitoring system at the road network level while obtaining the same amount of data.

[0037] 2. This invention can monitor the conditions of road surface such as water accumulation, ice, and snow accumulation, as well as local meteorological conditions in the surrounding area. It can also transmit meteorological and geographical location information to a remote cloud via a wireless network to form a real-time meteorological map along the road, thereby pushing road meteorological data to drivers on the corresponding roads in real time to ensure their safe travel.

[0038] 3. The monitoring system of the present invention can be used to participate in traffic road scheduling and management, which is conducive to the remote operation and safety assurance of unmanned autonomous driving, and promotes the development of intelligent transportation vehicle-road cooperative systems.

[0039] 4. The first sensor unit of the present invention includes a multi-wavelength light source, a beam combiner, and a photodetector. The beam combiner is used to combine outgoing light of different wavelengths into a single beam and output it. This method is suitable for mobile application scenarios, thereby ensuring the reliability of the sensor operation.

[0040] 5. The second sensor unit of the present invention also includes a laser ranging sensor, which overcomes the problem of information acquisition deviation caused by vehicle vibration and uneven road surface, thereby improving measurement accuracy and precision. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the structure of an embodiment of a mobile road weather monitoring system according to the present invention;

[0042] Figure 2 This is a schematic diagram of the structure of the meteorological monitoring module in an embodiment of a mobile road meteorological monitoring system according to the present invention.

[0043] The attached figures are labeled as follows:

[0044] 1-Main control unit, 2-Meteorological monitoring module, 3-First sensor unit, 31-Multi-wavelength light source, 32-Optical beam combiner, 33-Photodetector, 4-Second sensor unit, 5-Data acquisition unit, 6-Information analysis and processing unit, 7-Data communication unit, 8-Remote vision unit, 9-Local storage unit, 10-Remote cloud. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] like Figure 1 As shown, the present invention provides a mobile road weather monitoring system, including a main control unit 1 and at least one weather monitoring module 2, wherein the weather monitoring module 2 is mounted at any position of the moving vehicle, and can realize real-time monitoring of road weather during the vehicle's movement, and combine road weather data and geographical location data to form a weather map.

[0047] Combination Figure 1 and Figure 2 As shown, each meteorological monitoring module 2 includes a first sensor unit 3, a second sensor unit 4, a data acquisition unit 5, an information analysis and processing unit 6, and a data communication unit 7. The first sensor unit 3 and the second sensor unit 4 are respectively connected to the input terminal of the data acquisition unit 5 to acquire road meteorological information.

[0048] The first sensor unit 3 includes a multi-wavelength light source 31, a light combiner 32, and a photodetector 33 connected in sequence. The multi-wavelength light source 31 emits incident light of different wavelengths. Due to the different geometric surface shapes and medium absorption of road surfaces under different weather conditions, the road surfaces have different spectral reflection and absorption characteristics. Therefore, the reflected light signal from the road surface will carry information about the road weather conditions. In this embodiment, the multi-wavelength light source 31 can be a semiconductor laser or a light-emitting diode (LED). Its operating wavelength range is generally selected from 700nm to 1700nm. A silicon photodetector can be selected in the wavelength range of 700-1100nm, and an indium gallium arsenide (IGaAs) photodetector can be selected in the wavelength range of 1100-1700nm. During operation, 3-4 wavelengths are generally selected for detection. When collecting information, the light source output needs to be modulated, such as by frequency modulation. When receiving the detection, demodulation is performed to improve the signal-to-noise ratio, thus overcoming the influence of external stray light.

[0049] The optical beam combiner 32 ensures that light of different wavelengths illuminates the road surface at the same location. It combines incident light of different wavelengths into a single outgoing beam, which is then reflected by the road surface and enters the photodetector 33. The optical beam combiner 32 can be implemented using a spatial optical beam combiner or a fiber optic beam combiner. It forms a detection beam with a specific spot size and emission angle that illuminates the road surface. Road surfaces under different weather conditions have different spectral reflection and absorption characteristics, and the reflected light signal from the road surface will carry information about the road's weather conditions, including whether the road is dry, wet, icy, or covered in snow.

[0050] The solution in this embodiment, which combines different wavelengths of light into a single beam output using a beam combiner 32, is particularly suitable for vehicle-mounted mobile applications. Since the installation methods of sensors vary on different vehicles, and the working distance and illumination angle of sensors differ greatly, the output of multiple wavelength light sources in the same optical path is extremely important to ensure the reliable operation of the sensors.

[0051] The output terminal of the photodetector 33 is connected to the input terminal of the data acquisition unit 5, and is used to convert the received optical signal into an electrical signal and transmit it to the data acquisition unit 5.

[0052] In the vehicle-mounted driving measurement scenario, in order to accurately obtain measurement results during high-speed movement, the second sensor unit 4 includes a laser rangefinder, a temperature sensor, a humidity sensor, a geographic location sensor, a wind speed sensor, a wind direction sensor, and an altitude sensor.

[0053] Since all sensors in this embodiment are mounted on the vehicle and operate while the vehicle is in motion, this operating mode dictates that the sensing method utilizing reflected light signals from the road surface must overcome the challenges posed by vehicle vibration and road surface unevenness. Optical detection is sensitive to the incident and receiving angles of light; during travel, vehicle vibration and changes in road surface unevenness will cause variations in the receiving angle, affecting measurement accuracy. This embodiment utilizes a laser rangefinder sensor to measure the distance from the sensor to the road surface in real time. This sensor is typically installed near the output port of the detection light, enabling it to obtain distance changes caused by vehicle vibration and road surface unevenness, providing a basis for correction of vehicle vibration and road surface unevenness.

[0054] Temperature and humidity sensors collect road surface temperature information in real time without contact, which helps to identify meteorological conditions such as water accumulation, icing, and snow accumulation on the road surface. Since the road surface temperature value is less than or equal to 0°C when water accumulation and icing are difficult to distinguish, the road surface temperature value can be referenced to more accurately determine the road meteorological condition.

[0055] Geographic location sensors can acquire the real-time geographic location information of a moving vehicle. Each piece of geographic location information corresponds to a set of road weather condition parameters. Geographic location sensors can use GPS positioning sensors or Beidou navigation sensors. Since the location of the measured point is constantly changing, the geographic location sensor needs to collect and record geographic location information, GPS information, and vehicle driving information simultaneously. After data matching, processing, and calculation, road weather condition data is acquired in real time during vehicle operation using road weather condition data and mobile GPS geographic location matching technology. It can also be wirelessly transmitted to mobile or PC clients to achieve data sharing and further data mining.

[0056] The input terminal of the information analysis and processing unit 6 is connected to the output terminal of the data acquisition unit 5, and the output terminal of the information analysis and processing unit 6 is connected to the data communication unit 7. The main control unit 1 is connected to the data communication unit 7 in each meteorological monitoring module 2 via a wireless network. The information analysis and processing unit 6 processes the received road meteorological information into data information, which is then transmitted to the main control unit 1 by the data communication unit 7 via the wireless network. The data communication unit 7 can also communicate with the data communication units 7 in other meteorological monitoring modules 2, thereby establishing a dynamic meteorological map based on a combination of geographical location and road meteorological data. This meteorological map includes an indication of the gradient of a meteorological data item when the meteorological data item changes in time and location.

[0057] The meteorological monitoring module 2 also includes a remote vision unit 8 connected to the input end of the data acquisition unit 5. The remote vision unit 8 is used to acquire image or video information of the vehicle situation and surrounding roads, and can be a vehicle dashcam or other image acquisition device. The data acquisition unit 5 transmits the received image or video information to the information analysis and processing unit 6, which extracts meteorological data information from the received images or videos.

[0058] The meteorological monitoring module 2 also includes a local storage unit 9 connected to the information analysis and processing unit 6, used to store road weather condition data and geographical location information in real time. When the vehicle travels over a wide area for a long time, the amount of data generated by the road weather monitoring unit is large. It can also be transmitted wirelessly to a remote cloud 10 that can receive, store and process the data. The remote cloud 10 is generally one or more of a computer, mobile phone, or server, and other appropriate options can be made according to the actual situation.

[0059] In this embodiment, the remote cloud 10 receives data sent by the data communication unit 7 via a wireless network. After parsing the data according to the prescribed protocol, it extracts meteorological data and geographical location information and executes more complex algorithms to obtain meteorological parameters such as dew point temperature. This data is then displayed on the mobile and PC software interfaces for real-time observation and judgment by users. Additionally, users can manually type or voice-enter notes on the mobile software to record key information such as special road sections. This information is then transmitted to the data acquisition unit 5 via wired communication (RS485 or RS232) to enrich the collected information.

[0060] In order to organically combine the meteorological data and geographic information collected by the mobile data acquisition device to provide efficient formatted data for subsequent weather warnings, a large amount of data will be generated during the driving sensing process. The data needs to be received and formatted according to the specified storage format protocol for easy processing later. A large-capacity solid-state drive can be used as the storage medium.

[0061] In addition, the present invention also provides a mobile road weather monitoring method, comprising the following steps:

[0062] S1, install the weather monitoring module 2 on the moving vehicle.

[0063] S2, the data acquisition unit 5 collects road weather information obtained by the first sensor unit 3 and the second sensor unit 4, and feeds it back to the information analysis and processing unit 6; the road weather information obtained by the first sensor unit 3 is the road weather condition at the location of the vehicle, including water accumulation, snow accumulation, and icing conditions; the road weather information obtained by the second sensor unit 4 includes the distance between the second sensor unit and the ground, the geographical location of the location, road surface temperature, humidity, wind speed, wind direction, and altitude information.

[0064] In this embodiment, the data acquisition unit 5 collects the electrical signal output by the photodetector 3 and various road surface information output by the second sensor unit. When a vehicle is traveling at a normal speed on a highway, it can reach 60-120 km / h, approximately 16.7-33.3 m / s. To ensure the continuity of the measured road position and the representativeness of the data, the spatial position resolution of the measurement can be set to 0.1 m. That is, at least one road surface meteorological state parameter signal is output every 0.1 m of vehicle travel. Based on a maximum speed of 33.3 m / s, the maximum sampling interval is approximately 3 ms. In actual operation, at least 1,000 data points need to be collected for averaging, filtering, and other processing within each 0.1 m interval. Higher acquisition frequency results in better accuracy. Therefore, the acquisition frequency in this embodiment is much higher than that of a fixed monitoring system in actual operation.

[0065] S3, the information analysis and processing unit 6 analyzes and processes the received road meteorological information to obtain road meteorological data information, specifically:

[0066] S3.1, the information analysis and processing unit 6 accurately determines the road weather status, such as dry, waterlogged, icy, or snowy conditions, based on the road weather discrimination algorithm obtained by the first sensor unit 3, and finally converts and provides the corresponding road weather status data information.

[0067] S3.2, the distance information between the second sensor unit 4 and the ground is converted into road surface unevenness data information through the singularity removal algorithm and the moving average method.

[0068] S3.3, the information analysis and processing unit 6 integrates the road surface meteorological status data obtained in step S3.1, the road surface unevenness data obtained in step S3.2, and the geographical location, road surface temperature, humidity, wind speed, wind direction and altitude information obtained by the second sensor unit 4 to obtain complete road surface meteorological data information.

[0069] S4, the data communication unit 7 transmits road weather data to the main control unit 1 via a wireless network, thereby completing the monitoring of road weather.

[0070] S5, the data communication unit 7 transmits the road weather status data to the remote cloud 10 via a wireless network.

[0071] The mobile road weather monitoring system in this embodiment represents a significant leap forward in application scenarios due to its excellent mobility. It can achieve large-scale tracking and monitoring of severe weather events; it can also be used on-site for sudden weather events (such as floods, blizzards, freezing rain, and dense fog), providing rapid monitoring and emergency services; and it can provide monitoring and meteorological support services for major events. This monitoring system can be installed on everyday vehicles (such as road administration vehicles, trucks, and passenger vehicles) to acquire real-time road weather status information for the entire road network during daily operation and delivery. This information is then directly pushed to the driver via mobile software, facilitating driver convenience and improving driving safety.

[0072] Because the meteorological monitoring system in this embodiment is installed on a moving vehicle, it can achieve real-time and accurate detection of road weather conditions while driving at high speeds. It can collect road weather condition information over a wide area, accurately identify road conditions such as water accumulation, icing, and snow accumulation, and, in conjunction with vehicle geographical location information, ultimately obtain road network-level road weather condition parameters, thus promoting the development of intelligent transportation vehicle-road cooperative systems.

[0073] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, all of which fall within the scope of protection of the present invention.

Claims

1. A mobile road weather monitoring system, characterized in that: It includes a main control unit (1) and at least one meteorological monitoring module (2) for mounting on a moving vehicle; Each meteorological monitoring module (2) includes a first sensor unit (3), a second sensor unit (4), a data acquisition unit (5), an information analysis and processing unit (6), and a data communication unit (7); The first sensor unit (3) and the second sensor unit (4) are respectively connected to the input end of the data acquisition unit (5) to acquire road weather information and transmit it to the data acquisition unit (5). The first sensor unit (3) includes a multi-wavelength light source (31), an optical beam combiner (32), and a photodetector (33) connected in sequence. The multi-wavelength light source (31) is used to emit incident light of different wavelengths. The optical beam combiner (32) is used to combine incident light of different wavelengths into an outgoing beam, which enters the photodetector (33) after being reflected by the road surface. The output end of the photodetector (33) is connected to the input end of the data acquisition unit (5) and is used to convert the received optical signal into an electrical signal and transmit it to the data acquisition unit (5). The second sensor unit (4) includes a laser rangefinder, a temperature sensor, a humidity sensor, a geographic location sensor, a wind speed sensor, a wind direction sensor, and an altitude sensor, all connected to the input of the data acquisition unit (5). The optical detection is sensitive to the incident and receiving angles of light. During driving, the receiving angle changes due to vehicle vibration and road surface unevenness. The laser rangefinder is used to measure the distance information from the road surface in real time. The laser rangefinder is installed near the output port of the light beam combiner (32) to obtain the distance changes caused by vehicle vibration and road surface unevenness, providing a basis for the correction of vehicle vibration and road surface unevenness. The input end of the information analysis and processing unit (6) is connected to the output end of the data acquisition unit (5), and the output end of the information analysis and processing unit (6) is connected to the data communication unit (7). The main control unit (1) is connected to the data communication unit (7) in each meteorological monitoring module (2) via a wireless network; the information analysis and processing unit (6) is used to process the received road meteorological information into data information, and the data communication unit (7) transmits it to the main control unit (1) via a wireless network.

2. The mobile road weather monitoring system according to claim 1, characterized in that: The meteorological monitoring module (2) also includes a remote vision unit (8) connected to the input end of the data acquisition unit (5). The remote vision unit (8) is used to acquire image information or video information of the scene near the road surface to be tested.

3. The mobile road weather monitoring system according to claim 2, characterized in that: The meteorological monitoring module (2) also includes a local storage unit (9) connected to the information analysis and processing unit (6).

4. The mobile road weather monitoring system according to claim 2, characterized in that: The meteorological monitoring module (2) also includes a remote cloud (10) connected to the data communication unit (7) via a wireless network. The remote cloud (10) can be one or more of a computer, a mobile phone, or a server.

5. The mobile road weather monitoring system according to claim 1, characterized in that: The operating wavelength range of the multi-wavelength light source (31) is 700nm to 1700nm.

6. A mobile road surface weather monitoring method characterized by, The mobile road weather monitoring system according to any one of claims 1-5 includes the following steps: S1, Install the meteorological monitoring module (2) on the moving vehicle; S2, the data acquisition unit (5) collects road weather information obtained by the first sensor unit (3) and the second sensor unit (4) and feeds it back to the information analysis and processing unit (6); the road weather information obtained by the first sensor unit (3) is the road weather condition at the location of the vehicle, including water accumulation, snow accumulation and icing conditions; the road weather information obtained by the second sensor unit (4) includes the distance between the second sensor unit and the ground, the geographical location of the location, road surface temperature, humidity, wind speed, wind direction and altitude information; S3, the information analysis and processing unit (6) analyzes and processes the received road meteorological information to obtain road meteorological data information; S4, the data communication unit (7) transmits road weather data information to the main control unit (1) through a wireless network, thereby completing the monitoring of road weather.

7. The mobile road weather monitoring method according to claim 6, wherein S3 specifically includes: S3.1, the information analysis and processing unit (6) converts the road meteorological information acquired by the first sensor unit (3) into corresponding road meteorological status data information through the road meteorological discrimination algorithm; S3.2, the distance information between the second sensor unit (4) and the ground is converted into road surface unevenness data information by the singularity removal algorithm and the moving average method; S3.3, the information analysis and processing unit (6) integrates the road surface meteorological status data information obtained in step S3.1, the road surface unevenness data information obtained in step S3.2, and the geographical location, road surface temperature, humidity, wind speed, wind direction and altitude information obtained by the second sensor unit (4) to obtain complete road surface meteorological status data information.

8. The mobile road weather monitoring method according to claim 7, characterized in that: It also includes S5, the data communication unit (7) which transmits road weather data to the remote cloud (10) via a wireless network.

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