A highway comprehensive weather detection device and detection method thereof

Abstract

The present application discloses a comprehensive meteorological detection device for a highway and a detection method thereof, including: a plurality of meteorological test units, a remote computer and a cloud server arranged on the highway. The meteorological test unit is used to transmit and calculate meteorological test data; the remote computer is used to issue test instructions to the meteorological test units at both ends; the cloud server is used to receive the test data of the entire test link composed of multiple meteorological test units, and analyze and calculate the final meteorological results. The present application can quickly, comprehensively and accurately understand the comprehensive meteorological conditions along the highway, realize quantitative testing of meteorological weather such as rainfall, snowfall, fog or haze, and solve the deficiency that the existing image recognition software is difficult to realize quantitative recognition. It is able to transmit data or commands from one end of the link to the other end, and only needs to configure a wireless modem in the endpoint unit to connect to the Internet of Things, so as to realize the uploading of test data and the issuance of commands such as test maintenance, with low cost.

Description

Technical Field

[0001] The present application relates to the field of traffic meteorological detection, and in particular to a highway comprehensive meteorological detection device and a detection method thereof. Background Art

[0002] Rain, snow and fog are the three major hidden dangers to safe driving on highways. How to quickly monitor the weather conditions along a highway is a practical problem currently faced by highway management departments.

[0003] At present, the commonly used detection equipment on highways include cameras, micro-meteorological stations, visibility testers, and road condition detectors. The original purpose of installing cameras on highways was to monitor traffic conditions and identify illegal vehicles. In recent years, image recognition software has been installed on the back end of the camera, so that meteorological conditions such as rain, snow, and fog can be detected. However, due to the complex environment, it is difficult for image recognition software to achieve quantitative analysis of rain, snow, and fog. Micro-meteorological stations on highways can accurately detect wind speed and rainfall intensity. Visibility detection equipment is mainly used to test fog and haze, but the above equipment is expensive and not suitable for dense assembly. Road condition detection equipment can detect road surface water, snow, ice, etc. The cost of this equipment is also very expensive and not suitable for dense assembly.

[0004] Therefore, it is necessary to invent an inexpensive distributed detection device that can be flexibly assembled and can achieve quantitative detection of rain, snow, fog and haze. Summary of the invention

[0005] The embodiment of the present application provides a comprehensive highway meteorological detection device and a detection method thereof to solve the problems that existing meteorological detection equipment is expensive, not suitable for dense assembly, and difficult to achieve quantitative analysis of rain, snow and fog.

[0006] The present application embodiment adopts the following technical solutions:

[0007] The embodiment of the present application provides a comprehensive highway meteorological detection device, comprising: a plurality of meteorological test units arranged on the highway, a remote computer and a cloud server, wherein:

[0008] Multiple meteorological test units are arranged on the highway, and are used to receive test instructions and test signals issued by the upper-level meteorological test unit, and simultaneously calculate and process to obtain test data, and at the same time send the test instructions, test signals and the test data obtained by calculation and processing to the lower-level meteorological test unit; wherein the multiple meteorological test units communicate in sequence, and only the meteorological test units at the head and the end of the multiple meteorological test units are equipped with wireless modulators, the meteorological test unit at the head end receives the test instructions issued by the remote computer, and the meteorological test unit at the end end sends the test instructions, test signals and the test data obtained by calculation and processing to the cloud server;

[0009] A remote computer, used to issue test instructions to the meteorological test units at both ends of the plurality of meteorological test units;

[0010] The cloud server is used to receive the test data of the entire test link composed of multiple meteorological test units, and analyze and calculate the final meteorological results.

[0011] Furthermore, the meteorological test unit includes a bracket installed on a highway, on which a signal receiving module, a signal processing module, a signal transmitting module, and a power module are installed, and the signal processing module is electrically connected to the signal receiving module, the signal transmitting module, and the power module.

[0012] Furthermore, the signal transmission module transmits microwave signals of 30 GHz to 60 GHz and four optical signals as test signals.

[0013] Furthermore, the multiple meteorological test units communicate with each other using microwaves or far-infrared light waves as carrier waves.

[0014] Furthermore, the meteorological test unit also has a built-in emission light intensity detection sensor, and the emission light intensity detection sensor is electrically connected to the signal processing module.

[0015] The present application also provides a method for comprehensive highway weather detection, comprising the following steps:

[0016] S1. The remote computer sends a test command to the meteorological test units at both ends of the entire test device. The leftmost meteorological test unit initiates the test process after receiving the test command, and the rightmost meteorological test unit waits for the signal from the meteorological test unit on its left after receiving the test command.

[0017] S2, the test process starts from the leftmost meteorological test unit, which first sends a test request to the meteorological test unit adjacent to the right, then sends a test signal for the meteorological test of the adjacent right meteorological test unit, and finally sends the test instruction issued by the remote computer together with the test data to the adjacent right meteorological test unit; the subsequent left and right adjacent meteorological test units repeat the above process in turn until the last meteorological test unit of the entire test device completes the test;

[0018] S3. After the meteorological test unit at the end of the entire test device completes the test and receives all the test data, it summarizes the test data and reports it to the cloud server for analysis and processing according to the test instructions of the remote computer to obtain the final meteorological results.

[0019] Furthermore, in step S2, the test signals sent by the left meteorological test unit for the meteorological test of the adjacent right meteorological test unit are: microwave signals of 30 GHz to 60 GHz and four optical signals.

[0020] Furthermore, in step S2, the test data sent by the meteorological test unit on the left to the adjacent meteorological test unit on the right includes the strength of the test signal, the signal attenuation coefficient, and meteorological conditions, wherein the test data sent by the leftmost meteorological test unit only includes the strength of the test signal; the meteorological conditions include rain, snowfall, sleet, fog, haze, and fog plus haze.

[0021] Furthermore, the signal attenuation coefficient is calculated based on the signal strength difference measured by the emission light intensity detection sensors on the left and right adjacent meteorological test units, the spatial distance between the left and right adjacent meteorological test units, and the beam characteristics of the transmitter and receiver; the meteorological condition is obtained by inputting the attenuation coefficient value obtained above as a parameter value into the attenuation coefficient list and the preset decision function for retrieval and calculation.

[0022] Furthermore, the data transmission between the meteorological test units is based on bytes and adopts the standard UART protocol. Each byte frame has 11 bits, consisting of a start bit, 8 bits of data, a check bit, and a stop bit. The data is in the low bit first and the high bit in the last. On top of the byte frame structure, a data group structure is defined, and the data in the data group is divided into commands and command parameters.

[0023] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0024] 1. Quickly, comprehensively and accurately understand the comprehensive meteorological conditions along the highway. The meteorological conditions here include rain, snow, fog and haze. For rainfall, you can understand the visibility index and rainfall intensity index of different locations along the line; for snowfall, you can understand the visibility index and snowfall intensity index of different locations along the line; for sleet, you can understand the visibility index and precipitation intensity index of different locations along the line; for heavy fog, you can understand the visibility index and atmospheric moisture content index of different locations along the line. With the increase of the density of test point configuration, the recognition ability of fog clusters is also better; for fog and haze weather, you can understand the visibility index and atmospheric moisture content index of different locations along the line; for haze weather, you can understand the visibility index of different locations along the line.

[0025] 2. The whole system can transmit data or commands from one end of the link to the other end. It only needs to configure a wireless modem at the endpoint unit to connect to the Internet of Things to upload test data and issue commands such as test maintenance, which is low cost. The density of meteorological test units can be easily adjusted. When precise monitoring is desired, the distance between units can be made smaller, that is, more test units can be configured. If funds are insufficient, the distance between units can be increased, or fewer units can be configured first and then more units can be configured later.

[0026] 3. According to the calculated attenuation coefficient of the test signal, combined with the attenuation coefficient list and the preset decision function, the meteorological conditions are judged, and quantitative testing of meteorological weather such as rain, snow, fog or haze is realized, which solves the problem that the existing image recognition software is difficult to achieve quantitative recognition. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0028] Figure 1 Schematic diagram of the structure of a distributed comprehensive meteorological measurement device in an embodiment of the present invention.

[0029] Figure 2 Schematic diagram of specific testing steps of the distributed comprehensive meteorological measurement device in an embodiment of the present invention.

[0030] Figure 3 Schematic diagram of the optical signal transmission and reception structure in an embodiment of the present invention.

[0031] Figure 4 Schematic diagram of the byte frame structure of system commands and data transmission in an embodiment of the present invention.

[0032] Figure 5 Schematic diagram of the data group structure of system commands and data transmission in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0034] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0035] Example 1

[0036] A highway comprehensive meteorological detection device comprises: a plurality of meteorological test units arranged on the highway, a remote computer and a cloud server, wherein:

[0037] Multiple meteorological test units are arranged on the highway, and are used to receive test instructions and test signals issued by the upper-level meteorological test unit, and simultaneously calculate and process to obtain test data, and at the same time send the test instructions, test signals and the test data obtained by calculation and processing to the lower-level meteorological test unit; wherein the multiple meteorological test units communicate in sequence, and only the meteorological test units at the head and the end of the multiple meteorological test units are equipped with wireless modulators, the meteorological test unit at the head end receives the test instructions issued by the remote computer, and the meteorological test unit at the end end sends the test instructions, test signals and the test data obtained by calculation and processing to the cloud server;

[0038] A remote computer, used to issue test instructions to the meteorological test units at both ends of the plurality of meteorological test units;

[0039] The cloud server is used to receive the test data of the entire test link composed of multiple meteorological test units, and analyze and calculate the final meteorological results.

[0040] The meteorological test unit includes a bracket installed on the road, a signal receiving module, a signal processing module, a signal transmitting module, and a power module are installed on the bracket, and the signal processing module is electrically connected to the signal receiving module, the signal transmitting module, and the power module. The signal receiving module is used to receive the test instructions and test signals issued by the upper-level meteorological test unit and calculate and process the test data at the same time. The signal processing module calculates new test data based on the meteorological test unit according to the test signals and test data issued by the upper-level meteorological test unit. The signal transmitting module sends the test instructions, test signals, and the new test data obtained by calculation and processing to the next-level meteorological test unit.

[0041] like Figure 1 As shown, from a holistic perspective, the present invention is composed of a group of units with the same function. These units are installed along the highway at certain intervals. One of the adjacent units transmits a signal and the other receives a signal. By analyzing the signal, meteorological indicators such as rainfall intensity, snowfall intensity, visibility caused by fog or haze in this section of the journey can be obtained. The measured data and analysis results can also be transmitted to the next unit.

[0042] like Figure 1, here is a road, with a test unit at every distance on the road. There are 4 test units in total. The test units at both ends are equipped with wireless modulators and can connect to the Internet. When testing is required, the remote computer sends instructions to the test units at both ends. The test unit on the left initiates the test after receiving the test instruction, and the test unit on the right waits for the signal from the unit on its left after receiving the test instruction. The test starts from the leftmost endpoint unit. It first sends a test request to the unit on the right, then sends a signal for the right unit to test, and finally sends the test command issued by the system together with the data to the unit on the right. Next, the unit on the right repeats this process. It should be noted that the test results generated in the middle will also be sent to the next unit. After the last endpoint unit of the entire link completes the test and receives all the data, it will summarize the data and report it to the cloud server according to the requirements of the remote computer.

[0043] Through the above technical means of this embodiment, only the test units at both ends need to be equipped with wireless modulators to connect to the Internet and solve the communication problem of adjacent units. There is no need to equip the entire line with expensive meteorological monitoring equipment, which greatly reduces costs. The density of meteorological test units can be easily adjusted. When precise monitoring is desired, the distance between units can be made smaller, that is, more test units can be configured. If funds are insufficient, the distance between units can be increased, or fewer can be configured first and then more configurations can be added later, which has good flexibility.

[0044] Example 2

[0045] Embodiment 2 of the present invention provides a comprehensive highway meteorological detection device. Based on the above embodiment 1, a signal transmitting module transmits a microwave signal of 30 GHz to 60 GHz and four optical signals as test signals.

[0046] The quantitative test of rain, snow, fog and haze is calculated by the inconsistent attenuation of electromagnetic waves in different frequency bands under different meteorological conditions. Each test unit of the present invention can emit microwave signals of 30GHz to 60GHz, and can also emit 4 kinds of optical signals. Microwaves are used to detect rain or snow. Some window frequencies of oxygen, water vapor and carbon dioxide are selected in the 30GHz to 60GHz band for testing. According to the attenuation values ​​of different frequency points, it can be distinguished whether it is raining or snowing, and the intensity of rain or snowing can be calculated according to the distance between units. Microwaves are also used for communication between units. Four kinds of optical signals are used to solve the determination of fog and haze. The visibility index can be measured by relying solely on one optical signal, but it is impossible to distinguish whether the visibility reduction is caused by fog or haze. Here, four kinds of optical signals are used, and then combined with microwave signals, so that it is easy to distinguish whether it is fog or haze.

[0047] like Figure 2As shown in FIG, the measurement includes three steps. The first step is to transmit different signals (microwaves first, and then four optical signals), and the receiving end calculates the corresponding attenuation coefficient. For example, there are 11 monitoring points in total, and the signal attenuation coefficients corresponding to the 10 monitoring areas between the 11 monitoring points are K1-K10 respectively; the second step is to judge the meteorological conditions according to the attenuation coefficient list and the preset decision function (the meteorological conditions include rainfall, snowfall, sleet, fog, haze, and fog plus haze); the third step is to calculate the final results according to the meteorological conditions: rainfall intensity and visibility, snowfall intensity and visibility, precipitation intensity and visibility of sleet, water content and visibility of fog, visibility of haze, and water content and visibility of fog and haze. The specific calculation method of these results is to reversely calculate based on the attenuation coefficient curve of electromagnetic waves of various frequencies under different weather conditions. For example, when a test signal is transmitted from point A to point B, the attenuation coefficient of the test signal from point A to point B is calculated to be K. The attenuation coefficient K corresponds to the meteorological conditions in the attenuation coefficient list. Once the attenuation coefficient K is determined, the determined meteorological conditions can be reversely calculated. Specifically, rainfall and snowfall are mainly reversed based on the attenuation coefficient of each microwave frequency. The wavelength of 30-60GHz microwaves is comparable to the diameter of water droplets and snowflakes. The distinction between fog and haze is based on the resonant absorption of microwaves by moisture in the atmosphere. If the resonant absorption is greater than a certain threshold and the flat attenuation of microwaves at each frequency is large, it can be identified as fog. The identification of single haze is relatively simple, mainly based on the attenuation value of the optical signal, while referring to the size of the microwave resonant absorption.

[0048] In addition, there are two ways of communication between adjacent units, one is communication with microwave as carrier, and the other is communication with far infrared light wave as carrier. The former is more expensive, but it can meet the communication under all weather conditions. Communication based on far infrared basically cannot work under rainy or snowy conditions. Of course, for those applications that do not consider rain or snow, the entire system can remove microwaves, and then far infrared can be used for communication. Whether using microwave or optical signals, the communication signaling and data format are unified.

[0049] like Figure 3 As shown, the receiving unit can also transmit optical signals, and the transmitting unit can also receive optical signals. The purpose of this design is to achieve signal transmission and handshake. For the convenience of description, the transmission unit to the receiving unit is called the forward channel, and the reception unit to the transmitting unit is called the reverse channel. Both forward and reverse directions can communicate. In addition to communication, the forward direction can also achieve the required attenuation measurement, but the reverse direction cannot. Attenuation measurement requires the strength of the transmitted optical signal, so a transmission light intensity detection sensor is placed in the transmitting unit, as shown in the figure. The value measured by the sensor will be told to the receiving unit through the forward channel, so that the receiving unit can calculate the spatial attenuation coefficient based on the received signal strength, and refer to the transmitted light intensity, the spatial distance and the beam characteristics of the transmitter and receiver.

[0050] Through the technical means of this embodiment, quantitative testing of meteorological weather such as rainfall, snowfall, fog or haze is achieved, which solves the problem that existing image recognition software is difficult to achieve quantitative recognition.

[0051] Example 3

[0052] Embodiment 3 of the present invention provides a method for comprehensive highway weather detection, comprising the following steps:

[0053] S1. The remote computer sends a test command to the meteorological test units at both ends of the entire test device. The leftmost meteorological test unit initiates the test process after receiving the test command, and the rightmost meteorological test unit waits for the signal from the meteorological test unit on its left after receiving the test command.

[0054] S2, the test process starts from the leftmost meteorological test unit, which first sends a test request to the meteorological test unit adjacent to the right, then sends a test signal for the meteorological test of the adjacent right meteorological test unit, and finally sends the test instruction issued by the remote computer together with the test data to the adjacent right meteorological test unit; the subsequent left and right adjacent meteorological test units repeat the above process in turn until the last meteorological test unit of the entire test device completes the test;

[0055] S3. After the meteorological test unit at the end of the entire test device completes the test and receives all the test data, it summarizes the test data and reports it to the cloud server for analysis and processing according to the test instructions of the remote computer to obtain the final meteorological results.

[0056] When testing is needed, the remote computer sends instructions to the test units at both ends. The test unit on the left initiates the test after receiving the test instruction, and the test unit on the right waits for the signal from the unit on its left after receiving the test instruction. The test starts from the leftmost endpoint unit. It first sends a test request to the unit on the right, then sends a signal for the right unit to test, and finally sends the test command issued by the system together with the data to the unit on the right. The unit on the right then repeats this process. It should be noted that the test results generated in the middle will also be sent to the next unit. After the last endpoint unit of the entire link completes the test and receives all the data, it will summarize the data and report it to the cloud server according to the requirements of the remote computer.

[0057] Through the above technical means of this embodiment, only the test units at both ends need to be equipped with wireless modulators to connect to the Internet and solve the communication problem of adjacent units. There is no need to equip the entire line with expensive meteorological monitoring equipment, which greatly reduces costs. The density of meteorological test units can be easily adjusted. When precise monitoring is desired, the distance between units can be made smaller, that is, more test units can be configured. If funds are insufficient, the distance between units can be increased, or fewer can be configured first and then more configurations can be added later, which has good flexibility.

[0058] Example 4

[0059] Embodiment 4 of the present invention provides a comprehensive highway meteorological detection method. Based on Embodiment 3, the test signal sent by the meteorological test unit to the adjacent right meteorological test unit is: a microwave signal of 30 GHz to 60 GHz and four optical signals as test signals. The test data sent by the meteorological test unit to the adjacent right meteorological test unit includes the strength of the test signal, the signal attenuation coefficient, and the meteorological conditions, wherein the test data sent by the leftmost meteorological test unit only includes the strength of the test signal; the meteorological conditions include rainfall, snowfall, sleet, fog, haze, and fog plus haze.

[0060] The quantitative test of rain, snow, fog and haze is calculated by the inconsistent attenuation of electromagnetic waves in different frequency bands under different meteorological conditions. Each test unit of the present invention can emit microwave signals of 30GHz to 60GHz, and can also emit 4 kinds of optical signals. Microwaves are used to detect rain or snow. Some window frequencies of oxygen, water vapor and carbon dioxide are selected in the 30GHz to 60GHz band for testing. According to the attenuation values ​​of different frequency points, it can be distinguished whether it is raining or snowing, and the intensity of rain or snowing can be calculated according to the distance between units. Microwaves are also used for communication between units. Four kinds of optical signals are used to solve the determination of fog and haze. The visibility index can be measured by relying solely on one optical signal, but it is impossible to distinguish whether the visibility reduction is caused by fog or haze. Here, four kinds of optical signals are used, and then combined with microwave signals, so that it is easy to distinguish whether it is fog or haze.

[0061] like Figure 2As shown in FIG, the measurement includes three steps. The first step is to transmit different signals (microwaves first, and then four optical signals), and the receiving end calculates the corresponding attenuation coefficient. For example, there are 11 monitoring points in total, and the signal attenuation coefficients corresponding to the 10 monitoring areas between the 11 monitoring points are K1-K10 respectively; the second step is to judge the meteorological conditions according to the attenuation coefficient list and the preset decision function (the meteorological conditions include rainfall, snowfall, sleet, fog, haze, and fog plus haze); the third step is to calculate the final results according to the meteorological conditions: rainfall intensity and visibility, snowfall intensity and visibility, precipitation intensity and visibility of sleet, water content and visibility of fog, visibility of haze, and water content and visibility of fog and haze. The specific calculation method of these results is to reversely calculate based on the attenuation coefficient curve of electromagnetic waves of various frequencies under different weather conditions. For example, when a test signal is transmitted from point A to point B, the attenuation coefficient of the test signal from point A to point B is calculated to be K. The attenuation coefficient K corresponds to the meteorological conditions in the attenuation coefficient list. Once the attenuation coefficient K is determined, the determined meteorological conditions can be reversely calculated. Specifically, rainfall and snowfall are mainly reversed based on the attenuation coefficient of each microwave frequency. The wavelength of 30-60GHz microwaves is comparable to the diameter of water droplets and snowflakes. The distinction between fog and haze is based on the resonant absorption of microwaves by moisture in the atmosphere. If the resonant absorption is greater than a certain threshold and the flat attenuation of microwaves at each frequency is large, it can be identified as fog. The identification of single haze is relatively simple, mainly based on the attenuation value of the optical signal, while referring to the size of the microwave resonant absorption.

[0062] In addition, there are two ways of communication between adjacent units, one is communication with microwave as carrier, and the other is communication with far infrared light wave as carrier. The former is more expensive, but it can meet the communication under all weather conditions. Communication based on far infrared basically cannot work under rainy or snowy conditions. Of course, for those applications that do not consider rain or snow, the entire system can remove microwaves, and then far infrared can be used for communication. Whether using microwave or optical signals, the communication signaling and data format are unified.

[0063] like Figure 3 As shown, the receiving unit can also transmit optical signals, and the transmitting unit can also receive optical signals. The purpose of this design is to achieve signal transmission and handshake. For the convenience of description, the transmission unit to the receiving unit is called the forward channel, and the reception unit to the transmitting unit is called the reverse channel. Both forward and reverse directions can communicate. In addition to communication, the forward direction can also achieve the required attenuation measurement, but the reverse direction cannot. Attenuation measurement requires the strength of the transmitted optical signal, so a transmission light intensity detection sensor is placed in the transmitting unit, as shown in the figure. The value measured by the sensor will be told to the receiving unit through the forward channel, so that the receiving unit can calculate the spatial attenuation coefficient based on the received signal strength, and refer to the transmitted light intensity, the spatial distance and the beam characteristics of the transmitter and receiver.

[0064] Through the technical means of this embodiment, quantitative testing of meteorological weather such as rainfall, snowfall, fog or haze is achieved, which solves the problem that existing image recognition software is difficult to achieve quantitative recognition.

[0065] Example 5

[0066] Embodiment 5 of the present invention provides a comprehensive highway weather detection method. Based on Embodiment 4, a set of simple signaling and data formats is also invented.

[0067] like Figure 4 As shown in the figure, the data transmission between meteorological test units is based on bytes and adopts the standard UART protocol. Each byte frame has 11 bits, which are composed of a start bit, 8 bits of data, a check bit, and a stop bit. The data is in the order of low bits first and high bits last. Figure 5 As shown in the figure, a data group structure is defined on top of the byte frame structure, and the data in the data group is divided into commands and command parameters. This simple signaling and data format enables the entire system to transmit data or commands from one end of the link to the other end. It only needs to configure a wireless modem in the endpoint unit to connect to the Internet of Things to upload test data and issue commands such as test maintenance. Assuming a highway is 200 kilometers long, with an optical signal transceiver unit every 200 meters, there are a total of 1,000 units. If each unit adds a 4G modulator to transmit data, the hardware and service fees will be a considerable expense.

[0068] Note that the communication here is carried out in the form of command plus command parameters. There is only one command at a time. The command parameters are related to the command. There are 12 commonly used commands in the system. The following table details how to use the commands:

[0069]

[0070]

[0071]

[0072] In summary, the present invention has the following advantages:

[0073] 1. Quickly, comprehensively and accurately understand the comprehensive meteorological conditions along the highway. The meteorological conditions here include rain, snow, fog and haze. For rainfall, you can understand the visibility index and rainfall intensity index of different locations along the line; for snowfall, you can understand the visibility index and snowfall intensity index of different locations along the line; for sleet, you can understand the visibility index and precipitation intensity index of different locations along the line; for heavy fog, you can understand the visibility index and atmospheric moisture content index of different locations along the line. With the increase of the density of test point configuration, the recognition ability of fog clusters is also better; for fog and haze weather, you can understand the visibility index and atmospheric moisture content index of different locations along the line; for haze weather, you can understand the visibility index of different locations along the line.

[0074] 2. The whole system can transmit data or commands from one end of the link to the other end. It only needs to configure a wireless modem at the endpoint unit to connect to the Internet of Things to upload test data and issue commands such as test maintenance, which is low cost. The density of meteorological test units can be easily adjusted. When precise monitoring is desired, the distance between units can be made smaller, that is, more test units can be configured. If funds are insufficient, the distance between units can be increased, or fewer units can be configured first and then more units can be configured later.

[0075] 3. According to the calculated attenuation coefficient of the test signal, combined with the attenuation coefficient list and the preset decision function, the meteorological conditions are judged, and quantitative testing of meteorological weather such as rain, snow, fog or haze is realized, which solves the problem that the existing image recognition software is difficult to achieve quantitative recognition.

[0076] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A highway comprehensive weather detection device, characterized in that: include: Multiple weather test units, remote computers and cloud servers are set up on the highway, including: A plurality of meteorological test units are arranged on the highway, and are used to receive test instructions and test signals issued by the upper-level meteorological test unit, and simultaneously calculate and process to obtain test data, and simultaneously send the test instructions, test signals and the test data obtained by calculation and processing to the lower-level meteorological test unit; the meteorological test unit comprises a bracket installed on the highway, and a signal receiving module, a signal processing module, a signal transmitting module and a power supply module are installed on the bracket, and the signal processing module is electrically connected with the signal receiving module, the signal transmitting module and the power supply module; The multiple meteorological test units communicate in sequence, and only the first and last meteorological test units are equipped with wireless modulators. The first-end meteorological test unit receives the test instructions issued by the remote computer, and the last-end meteorological test unit sends the test instructions, test signals and test data obtained by calculation to the cloud server; the multiple meteorological test units communicate with each other using microwaves or far-infrared light waves as carrier waves; A remote computer, used to issue test instructions to the meteorological test units at both ends of the plurality of meteorological test units; The cloud server is used to receive the test data of the entire test link composed of multiple meteorological test units, and analyze and calculate the final meteorological results.

2. A highway comprehensive weather detection device as claimed in claim 1, characterized in that: The signal transmitting module transmits 30 GHz to 60 GHz microwave signals and four optical signals as test signals.

3. A highway comprehensive weather detection device as claimed in claim 1, characterized in that: The meteorological test unit also has a built-in emission light intensity detection sensor, and the emission light intensity detection sensor is electrically connected to the signal processing module.

4. A comprehensive highway weather detection method, characterized in that: The following steps are involved: S1. The remote computer sends a test command to the meteorological test units at both ends of the entire test device. The leftmost meteorological test unit initiates the test process after receiving the test command, and the rightmost meteorological test unit waits for the signal from the meteorological test unit on its left after receiving the test command; S2, the test process starts from the leftmost meteorological test unit, which first sends a test request to the meteorological test unit adjacent to the right, then sends a test signal for the meteorological test of the adjacent right meteorological test unit, and finally sends the test instruction issued by the remote computer together with the test data to the adjacent right meteorological test unit; the subsequent left and right adjacent meteorological test units repeat the above process in turn until the last meteorological test unit of the entire test device completes the test; S3. After the meteorological test unit at the end of the entire test device completes the test and receives all the test data, it summarizes the test data and reports it to the cloud server for analysis and processing according to the test instructions of the remote computer to obtain the final meteorological results.

5. A highway comprehensive weather detection method as claimed in claim 4, characterized in that: In step S2, the test signals sent by the left meteorological test unit for the meteorological test of the adjacent right meteorological test unit are: microwave signals of 30 GHz to 60 GHz and four optical signals.

6. A highway comprehensive weather detection method as claimed in claim 4, characterized in that: The test data sent by the left meteorological test unit to the adjacent right meteorological test unit in step S2 includes the strength of the test signal, the signal attenuation coefficient, and meteorological conditions, among which the test data sent by the leftmost meteorological test unit only includes the strength of the test signal; the meteorological conditions include rain, snowfall, sleet, fog, haze, and fog plus haze.

7. A highway comprehensive weather detection method as claimed in claim 6, characterized in that: The signal attenuation coefficient is calculated based on the signal strength difference measured by the emission light intensity detection sensors on the left and right adjacent meteorological test units, the spatial distance between the left and right adjacent meteorological test units, and the beam characteristics of the transmitter and receiver; the meteorological condition is obtained by inputting the above-mentioned signal attenuation coefficient value as a parameter value into the attenuation coefficient list and the preset decision function for retrieval and calculation.

8. A highway comprehensive weather detection method as claimed in claim 4, characterized in that: The data transmission between the meteorological test units is based on bytes and adopts the standard UART protocol. Each byte frame has 11 bits, consisting of a start bit, 8 bits of data, a check bit, and a stop bit. The data is in the low bit first and the high bit last. On top of the byte frame structure, a data group structure is defined, and the data in the data group is divided into commands and command parameters.

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