A method, device and medium for dynamically estimating the starting wind speed of snow blowing on highways

Abstract

The present application discloses a method, device and medium for dynamically estimating the starting wind speed of snowstorm on highways, which obtains weather forecast information of a target highway point at a preset future time; the weather forecast information at least includes temperature forecast information and snowfall forecast information; according to the historical snowfall stopping time of the target highway point and the snowfall forecast information, the snow accumulation duration information of the target highway point at the preset future time is determined; according to the temperature forecast information, the snow accumulation duration information and a preset multi-level wind and snow starting wind speed estimation model, the wind and snow starting wind speed estimation information of the target highway point at the preset future time is conveniently and accurately determined; the weather forecast information and the wind and snow starting wind speed estimation information can be used to predict whether snowstorm will occur at the target highway point, thereby facilitating the transportation department to do a good job in preventing and responding to highway snowstorm disasters, improving traffic safety, and effectively protecting the safety of people, property and life.

Description

Technical Field

[0001] The present application relates to the technical field of meteorological forecasting, and in particular to a method, device and medium for dynamically estimating the starting wind speed of snowstorm on highways. Background Art

[0002] Blowing snow is a special weather phenomenon. It means that when the starting wind speed is reached to start the snow particles moving, the airflow will roll up the snow particles and make them move on the ground or in the near-ground atmosphere in the form of jumping, rolling, creeping, or suspension.

[0003] Currently in China, areas surrounded by the Greater Khingan Range, Lesser Khingan Range and Changbai Mountains (including the Northeast China Plain), areas surrounded by the Kunlun Mountains, Qilian Mountains, Hengduan Mountains and Himalayas (including the Qaidam Basin, Bayan Har Mountains, Tanggula Mountains, Nyainqentanglha Mountains), and areas surrounded by the Altai Mountains and Tianshan Mountains (including the Junggar Basin) are all prone to wind and snow disasters. Accurately predicting whether wind and snow disasters will occur is crucial to ensuring transportation safety and smooth trade in high-altitude mountainous areas.

[0004] The key to predicting whether a snowstorm disaster will occur and quantifying the impact it will have on various aspects is to accurately estimate the starting wind speed of the snowstorm. At present, there are two main ways to estimate the starting wind speed of the snowstorm. One is to take a fixed value of the constant starting wind speed of the snowstorm. However, this method is not conducive to the accurate identification of snowstorm events; the other is to only consider the influence of a single factor, namely temperature, and use the temperature to estimate the starting wind speed of the snowstorm. However, although this method has good consistency in the average sense of large sample capacity, the estimation accuracy of a single snowstorm event is still low. Summary of the invention

[0005] The present application aims to solve one of the technical problems in the related art to a certain extent. To this end, the present application provides a method, device and medium for dynamically estimating the starting wind speed of snow blowing on a highway.

[0006] As a first aspect of the present application, a method for dynamically estimating the starting wind speed of snow on a highway is provided, wherein the method comprises:

[0007] Obtaining weather forecast information for a target highway point at a preset future time; wherein the weather forecast information includes at least temperature forecast information and snowfall forecast information;

[0008] Determining the snow accumulation duration information of the target highway point at the preset future time according to the historical snowfall stop time of the target highway point and the snowfall prediction information;

[0009] Determine the estimated wind speed for the start of snowstorm at the target highway point at the preset future time according to the temperature forecast information, the snow accumulation duration information and the preset multi-level wind speed estimation model for the start of snowstorm;

[0010] The wind and snow forecast result of the target highway point is determined according to the weather forecast information and the wind speed estimation information for starting the wind and snow.

[0011] Optionally, the preset multi-level wind and snow starting wind speed estimation model includes multiple single-level wind and snow starting wind speed estimation models; the wind and snow starting wind speed estimation information of the target highway point at the preset future time is determined according to the temperature forecast information, the snow accumulation duration information and the preset multi-level wind and snow starting wind speed estimation model, including:

[0012] According to the temperature forecast information, a target single-level wind and snow starting wind speed estimation model is determined from the preset multi-level wind and snow starting wind speed estimation model;

[0013] The estimated information of the starting wind speed of the blowing snow at the target highway point at the preset future time is determined according to the snow accumulation duration information and the target single-level blowing snow starting wind speed estimation model.

[0014] Optionally, the multiple single-level wind and snow starting wind speed estimation models correspond one-to-one to multiple temperature intervals, and there is no intersection between any two of the temperature intervals; the target single-level wind and snow starting wind speed estimation model is determined from the preset multi-level wind and snow starting wind speed estimation models according to the temperature forecast information, including:

[0015] Determining a temperature interval that matches the temperature forecast information from the plurality of temperature intervals;

[0016] The single-layer wind and snow starting wind speed estimation model corresponding to the determined temperature range is determined as the target single-layer wind and snow starting wind speed estimation model.

[0017] Optionally, the preset multi-level wind speed estimation model for blowing snow is expressed by the following formula:

[0018] (1)

[0019] In formula (1), It indicates the estimated wind speed information of blowing snow at a height of 10m above the ground, P indicates the snow accumulation time information, and T indicates the temperature.

[0020] Optionally, the temperature interval matching the temperature forecast information is (-∞, ], the target single-layer wind blowing snow starting wind speed estimation model is: .

[0021] Optionally, the temperature interval matching the temperature forecast information is ( , ), the target single-layer wind blowing snow starting wind speed estimation model is: .

[0022] Optionally, the temperature interval matching the temperature forecast information is [ ), the target single-layer wind blowing snow starting wind speed estimation model is: .

[0023] Optionally, the weather forecast information further includes wind speed forecast information, and determining the wind and snow forecast result of the target highway point according to the weather forecast information and the wind and snow starting wind speed estimation information includes:

[0024] When the wind speed forecast information is not less than the wind and snow starting wind speed estimation information, it is determined that the wind and snow forecast result is that wind and snow will occur at the target highway point.

[0025] As a second aspect of the present application, an electronic device is provided, wherein the electronic device includes:

[0026] one or more processors;

[0027] A memory having one or more computer programs stored thereon, when the one or more computer programs are executed by the one or more processors, the one or more processors implement the method for dynamically estimating the starting wind speed of highway snowstorms as described in the first aspect of the present application.

[0028] As a third aspect of the present application, a computer-readable medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, the method for dynamically estimating the starting wind speed of highway snowstorms described in the first aspect of the present application is implemented.

[0029] In the dynamic estimation method for the starting wind speed of snow and wind on roads provided in the embodiment of the present application, not only the meteorological forecast information of the target road point at a preset future time, which includes at least the temperature forecast information and the snowfall forecast information, is obtained, and the temperature forecast information is used as an influencing factor of the starting wind speed of snow and wind, but also the snow accumulation duration information of the target road point at the preset future time is determined based on the historical snowfall stop time of the target road point and the snowfall forecast information, and the snow accumulation duration is also used as an important influencing factor of the starting wind speed of snow and wind. According to the temperature forecast information, the snow accumulation duration information and the preset multi-level snow and wind starting wind speed estimation model, the estimated wind speed of snow and wind starting wind speed of the target road point at the preset future time is conveniently and accurately determined, which can provide more accurate data support for predicting whether a snow and wind event will occur on the road. Subsequently, according to the meteorological forecast information and the snow and wind starting wind speed estimation information, the snow and wind forecast result of the target road point can be determined, which is beneficial for the transportation department to do a good job in preventing and responding to snow and wind disasters on roads, improve traffic safety, and effectively protect the safety of people, property and life. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present application is further described below in conjunction with the accompanying drawings:

[0031] Figure 1 It is a flow chart of an implementation method of a method for dynamically estimating the starting wind speed of snow blowing on a highway provided in an embodiment of the present application;

[0032] Figure 2 It is a flow chart of another implementation method of the method for dynamically estimating the starting wind speed of snow blowing on a highway provided in an embodiment of the present application;

[0033] Figure 3 It is a flow chart of another implementation method of the method for dynamically estimating the starting wind speed of snow blowing on roads provided in the embodiment of the present application;

[0034] Figure 4 It is a flow chart of another implementation method of the method for dynamically estimating the starting wind speed of snow blowing on roads provided in an embodiment of the present application;

[0035] Figure 5 It is a flow chart of an implementation of an electronic device provided in an embodiment of the present application;

[0036] Figure 6 It is a schematic diagram of a computer-readable medium provided in an embodiment of the present application.

[0037] Description of Reference Numerals

[0038] 101: Processor 102: Memory

[0039] 103: I / O interface 104: bus DETAILED DESCRIPTION

[0040] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments based on the embodiments are intended to be used to explain the present application and cannot be understood as limiting the present application.

[0041] References to "one embodiment" or "an example" or "an example" in this specification mean that a particular feature, structure, or characteristic described in conjunction with the embodiment itself may be included in at least one embodiment disclosed in the present application. The appearance of the phrase "in one embodiment" in various places in the specification does not necessarily refer to the same embodiment.

[0042] At present, there are two main ways to estimate the starting wind speed of blowing snow by related technologies. One way is to take a fixed value of the constant starting wind speed of blowing snow. For example, a scholar analyzed the complete hourly snow transport threshold condition data monitored by 16 meteorological stations in Canada for 6 winters and believed that the starting wind speed of "wet snow" (Wetsnow) at a height of 10m above the ground is 9.9m / s, while the starting wind speed of "dry snow" (Drysnow) is slightly lower, averaging 7.7m / s. However, this method is not conducive to the accurate identification of blowing snow events.

[0043] Another way is to consider only the influence of a single factor, namely temperature, and use temperature to estimate the starting wind speed of wind and snow. For example, a scholar combined the temperature data of meteorological stations and found that for dry snow, which is easier to start, there is a nonlinear but typical positive correlation between the critical wind speed and the ambient temperature (air temperature). The starting wind speed of wind and snow events can be estimated using constants and ambient temperature:

[0044] =9.43+0.18T+0.0033T² (a);

[0045] In formula (a), represents the starting wind speed of the wind and snow at a height of 10m above the ground, and T represents the ambient temperature. However, although the use of temperature to estimate the starting wind speed of the wind and snow event has good consistency in the average sense of large sample size, the estimation accuracy of this method for a single wind and snow event is still low.

[0046] In this regard, the applicant of this application proposes that the existing methods for estimating the starting wind speed of blowing snow only consider the single factor of ambient temperature (air temperature) at most, but the starting wind speed of blowing snow is also affected by factors such as meteorological conditions and snow characteristics. The quantitative relationship between the starting wind speed of blowing snow and meteorological conditions and snow characteristics is still unclear.

[0047] In order to clarify the quantitative relationship between the starting wind speed of wind and snow and factors such as meteorological conditions and snow characteristics, the applicant of this application further established a highway wind and snow observation site along the traffic roads in high-altitude areas of China (Sichuan-Tibet Highway) to observe the starting wind speed of different types of snow. First, the physical properties of snow particles in the plateau area (such as on-site temperature, humidity, snow density, repose angle, etc.) were studied, and then the snow was classified according to different physical characteristics, and then the characteristics of its wind and snow starting wind speed were studied. The test data was compared and verified with the data in the European wind and snow monitoring online database for accuracy, and the models of similar tests in the past were referred to, and the actual situation under the complex environment of highways in high-altitude mountainous areas was taken into consideration. The influence of temperature and snow accumulation time on the starting wind speed of wind and snow was analyzed, and a multi-level wind and snow starting wind speed estimation model was established innovatively.

[0048] The applicant of this application further proposed that by obtaining the weather forecast information of the target highway point at a preset future time, combined with the preset multi-level wind and snow starting wind speed estimation model, the wind and snow starting wind speed of the target highway point at the preset future time can be accurately estimated, which can provide more accurate data support for predicting whether wind and snow events will occur at the highway point, thereby facilitating the transportation department to do a good job in preventing and responding to highway wind and snow disasters.

[0049] As a first aspect of the embodiment of the present application, a method for dynamically estimating the starting wind speed of snow on a highway is provided, wherein: Figure 1 As shown, the method may include the following steps:

[0050] In step S110, the weather forecast information of the target highway point at a preset future time is obtained; wherein the weather forecast information at least includes temperature forecast information and snowfall forecast information;

[0051] In step S120, according to the historical snowfall stop time of the target highway point and the snowfall prediction information, the snow accumulation duration information of the target highway point at the preset future time is determined;

[0052] In step S130, based on the temperature forecast information, the snow accumulation duration information and a preset multi-level wind speed estimation model for wind and snow, the wind speed estimation information for wind and snow at the target highway point at the preset future time is determined.

[0053] Among them, the relevant technology has involved many ways of predicting meteorological data. The embodiment of the present application does not make any special restrictions on how to obtain the meteorological forecast information of the target highway point at a preset future time. For example, it can be obtained directly from the meteorological forecast database, or it can be obtained by first obtaining actual monitoring data from the meteorological station corresponding to the target highway point and then processing it based on the actual monitoring data.

[0054] The target highway point refers to the highway point whose wind speed of blowing snow needs to be estimated. The historical snowfall stop time refers to the time when the snowfall stopped before the current time. The snow accumulation duration refers to the time that the snow remains on the ground after the snowfall stops.

[0055] Among them, the embodiments of the present application do not make any specific limitation on the snowfall prediction information, as long as the snowfall prediction situation in the future time period from the current time to the preset future time can be determined based on the snowfall prediction information (including the prediction that snowfall may occur, the predicted start time of snowfall and the predicted stop time of snowfall, or including the prediction that snowfall will not occur). For example, the snowfall prediction information may include the predicted value of the snowfall time period, or may include the correspondence between the indication information indicating whether snowfall occurs and the time.

[0056] Among them, the embodiment of the present application does not make any specific limitation on how to execute the above-mentioned step S120. For example, when it is determined based on the snowfall prediction information that snowfall will not occur before a preset future time, the snow accumulation duration information of the preset future time can be directly calculated based on the historical snowfall stop time. When it is determined based on the snowfall prediction information that snowfall may occur before a preset future time, the predicted snowfall stop time can be further determined based on the snowfall prediction information, and then the snow accumulation duration information of the preset future time can be calculated based on the predicted snowfall stop time.

[0057] In the dynamic estimation method for the starting wind speed of snow and wind on roads provided in the embodiment of the present application, not only the meteorological forecast information of the target road point at a preset future time, which includes at least the temperature forecast information and the snowfall forecast information, is obtained, and the temperature forecast information is used as an influencing factor of the starting wind speed of snow and wind, but also the snow accumulation duration information of the target road point at the preset future time is determined based on the historical snowfall stop time of the target road point and the snowfall forecast information, and the snow accumulation duration is also used as an important influencing factor of the starting wind speed of snow and wind. According to the temperature forecast information, the snow accumulation duration information and the preset multi-level snow and wind starting wind speed estimation model, the estimated wind speed of snow and wind starting wind speed of the target road point at the preset future time is conveniently and accurately determined, which can provide more accurate data support for predicting whether a snow and wind event will occur on the road. Subsequently, according to the meteorological forecast information and the snow and wind starting wind speed estimation information, the snow and wind forecast result of the target road point can be determined, which is beneficial for the transportation department to do a good job in preventing and responding to snow and wind disasters on roads, improve traffic safety, and effectively protect the safety of people, property and life.

[0058] In some embodiments, the preset multi-level wind and snow starting wind speed estimation model includes multiple single-level wind and snow starting wind speed estimation models; the wind and snow starting wind speed estimation information of the target highway point at the preset future time is determined based on the temperature forecast information, the snow accumulation duration information and the preset multi-level wind and snow starting wind speed estimation model (i.e., step S130), such as Figure 2 As shown, the following steps may be included:

[0059] In step S210, according to the temperature forecast information, a target single-level wind and snow starting wind speed estimation model is determined from the preset multi-level wind and snow starting wind speed estimation model;

[0060] In step S220, based on the snow accumulation duration information and the target single-level wind and snow starting wind speed estimation model, the wind and snow starting wind speed estimation information of the target highway point at the preset future time is determined.

[0061] Among them, the preset multi-level wind and snow starting wind speed estimation model includes multiple single-level wind and snow starting wind speed estimation models, which is conducive to using different single-level wind and snow starting wind speed estimation models according to different temperature forecast information, effectively improving the accuracy of estimating the wind and snow starting wind speed.

[0062] The applicant of the present application proposes that not only is the duration of snow accumulation an important factor in the estimation process of the starting wind speed of wind and snow, but also, as the temperature continues to change, the pattern of the wind speed of wind and snow changing with the temperature and the duration of snow accumulation is also different. Therefore, the temperature is used as the vertical level of the multi-level wind and snow starting wind speed estimation model, and the duration of snow accumulation is used as the horizontal level of the multi-level wind and snow starting wind speed estimation model, that is, different single-level wind and snow starting wind speed estimation models are established according to different temperature intervals. Correspondingly, in some embodiments, the multiple single-level wind and snow starting wind speed estimation models correspond one-to-one to the multiple temperature intervals, and there is no intersection between any two of the temperature intervals; according to the temperature prediction information, the target single-level wind and snow starting wind speed estimation model is determined from the preset multi-level wind and snow starting wind speed estimation model (that is, step S210), such as Figure 3 As shown, the following steps may be included:

[0063] In step S310, a temperature interval matching the temperature prediction information is determined from the plurality of temperature intervals;

[0064] In step S320, the single-layer wind and snow starting wind speed estimation model corresponding to the determined temperature interval is determined as the target single-layer wind and snow starting wind speed estimation model.

[0065] For example, the temperature intervals corresponding to the single-level wind speed estimation models for blowing snow are (-∞, ]、( , )and[ ), when the temperature forecast information of the target highway point at the preset future time is -3 When , the temperature interval among multiple temperature intervals that matches the temperature forecast information is ( , ).

[0066] The applicant of this application found that when the temperature is higher than -6°C, the snow on the ground will condense, and when the temperature is higher than 0°C, the snow surface will undergo an obvious freeze-thaw cycle. In view of this, the applicant of this application proposed to establish a multi-level wind and snow starting wind speed estimation model based on the two significant temperature thresholds of -6°C and 0°C. Accordingly, in some embodiments, the preset multi-level wind and snow starting wind speed estimation model is expressed by the following formula:

[0067] (1)

[0068] In formula (1), It indicates the estimated wind speed information of blowing snow at a height of 10m above the ground, P indicates the snow accumulation time information, and T indicates the temperature.

[0069] It can be seen that in this multi-level wind speed estimation model for blowing snow, the “ "," "," "These three single-level wind speed estimation models for blowing snow correspond to (-∞, ]、( , )、[ ) These three temperature ranges.

[0070] Accordingly, in some embodiments, the temperature interval matching the temperature prediction information is (-∞, ], the target single-layer wind blowing snow starting wind speed estimation model is: .

[0071] Accordingly, in some embodiments, the temperature interval matching the temperature prediction information is ( , ), the target single-layer wind blowing snow starting wind speed estimation model is: .

[0072] Accordingly, in some embodiments, the temperature interval matching the temperature forecast information is [ ), the target single-layer wind blowing snow starting wind speed estimation model is: .

[0073] In the embodiment of the present application, the estimated wind speed for the target highway point at the preset future time when the wind and snow will start is actually a minimum wind speed that can blow the accumulated snow particles. When the actual wind speed reaches the minimum wind speed, it can be predicted that the target highway point will experience wind and snow. Correspondingly, in some embodiments, the weather forecast information also includes wind speed forecast information. After the wind and snow starting wind speed estimation information for the target highway point at the preset future time is determined based on the temperature forecast information, the snow accumulation duration information, and the preset multi-level wind and snow starting wind speed estimation model (i.e., step S130), as shown in FIG. Figure 4 As shown, the method may further include the following steps:

[0074] In step S140, when the wind speed forecast information is not less than the wind and snow starting wind speed estimation information, it is determined that the wind and snow forecast result is that wind and snow will occur at the target highway point.

[0075] It can be understood that, when the wind speed prediction information is less than the wind and snow starting wind speed estimation information, it can be determined that the wind and snow prediction result is that wind and snow will not occur at the target highway point.

[0076] In the embodiment of the present application, the blizzard prediction result is determined based on the blizzard starting wind speed estimation information, that is, whether blizzard will occur at the target highway point, so as to facilitate highway blizzard warning, improve traffic safety, and effectively protect the safety of people, property and life.

[0077] As mentioned above, in order to clarify the quantitative relationship between the starting wind speed of wind-blown snow and factors such as meteorological conditions and snow characteristics, the applicant of this application further established a highway wind-blown snow observation site along the traffic roads in high-altitude areas of China (Sichuan-Tibet Line) to conduct observation tests on the starting wind speed of different types of snow. At the highway wind-blown snow observation site, the physical properties of the snow samples on site (including on-site temperature, humidity, snow density and repose angle, etc.) were tested using corresponding instruments. According to the physical properties of the snow samples obtained from the test, the snow samples were divided into three categories: A, B, and C. Group A, Group B, and Group C shown in Table 1 below represent three types of snow piles, each with a different formation process.

[0078] Table 1

[0079]

[0080] As shown in Table 2 below, there is a set of snow sample physical characteristic parameters for each of the three different types of snow piles obtained by the applicant during the test process.

[0081] Table 2

[0082]

[0083] Furthermore, the applicant used a portable wind tunnel to measure the starting wind speed of different types of snow accumulation. The site mainly includes a power section and an image acquisition area. The power section uses an axial flow fan and a honeycomb to provide wind speed to the snow particles. The image acquisition area uses an image acquisition instrument to collect images of the test snow sample at different wind speeds. The wind speed is increased step by step in the portable wind tunnel, and images are collected synchronously. The starting wind speed of the test snow sample at a height of 20 cm is analyzed, and then the starting wind speed of the test snow sample at a height of 1 m and at a height of 10 m is calculated according to the exponential rate wind profile formula, and the threshold friction speed is calculated according to the logarithmic rate wind profile formula.

[0084] The exponential wind profile formula is: ,in, Indicates the height above the ground. Indicates the reference height (the value is 0.2m), , Respectively indicate the height above the ground Chuhe Wind speed at Indicates the landform category index. Class B landforms are usually is 0.15. The logarithmic rate wind profile formula is: ,in, represents the threshold friction speed, represents the Karman constant (value is 0.42), Indicates the roughness height (the value is 0.2mm).

[0085] As shown in Table 3 below, there is a set of test result parameters for each of the three different types of snow piles obtained by the applicant during the test process.

[0086] Table 3

[0087]

[0088] The applicant further conducted a comprehensive analysis of the test results and the existing empirical model (T-based model proposed by scientists Li et al.), and proposed to establish a wind speed estimation model for blowing snow that is more suitable for high altitude areas. The starting wind speed and snow accumulation duration information of different types of snow samples measured at 31 actual measurement points were used to fit the starting wind speed of blowing snow based on temperature and snow accumulation duration, and a multi-level wind speed estimation model for blowing snow based on temperature and snow accumulation duration was established:

[0089] (1)

[0090] In formula (1), It indicates the estimated wind speed information of blowing snow at a height of 10m above the ground, P indicates the snow accumulation time information, and T indicates the temperature.

[0091] As a second aspect of the embodiments of the present application, an electronic device is provided, wherein: Figure 5 As shown, the electronic device includes:

[0092] One or more processors 101;

[0093] The memory 102 stores one or more computer programs. When the one or more computer programs are executed by the one or more processors 101, the one or more processors 101 implement the dynamic estimation method for the starting wind speed of highway wind and snow provided in the first aspect of the embodiment of the present application.

[0094] The electronic device may further include one or more I / O interfaces 103 connected between the processor 101 and the memory 102 and configured to implement information interaction between the processor 101 and the memory 102 .

[0095] Among them, the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.; the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); the I / O interface (read-write interface) is connected between the processor and the memory, and can realize information exchange between the processor and the memory, including but not limited to a data bus (Bus), etc.

[0096] In some embodiments, the processor 101 , the memory 102 , and the I / O interface 103 are connected to each other via a bus 104 , and further connected to other components of the computing device.

[0097] As a third aspect of the embodiment of the present application, Figure 6 As shown, a computer-readable medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, the method for dynamically estimating the starting wind speed of highway wind and snow provided in the first aspect of the embodiment of the present application is implemented.

[0098] It will be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. Accordingly, the computer program can be stored in a non-volatile computer-readable storage medium, and the computer program can implement the method of any of the above-mentioned embodiments when executed. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the embodiments of the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0099] The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Those skilled in the art should understand that the present application includes but is not limited to the contents described in the drawings and the above specific embodiments. Any modification that does not deviate from the functional and structural principles of the present application will be included in the scope of the claims.

Claims

1. A method for dynamically estimating the starting wind speed of snow on a highway, characterized in that: The method comprises: Obtaining weather forecast information for a target highway point at a preset future time; wherein the weather forecast information includes at least temperature forecast information and snowfall forecast information; Determining the snow accumulation duration information of the target highway point at the preset future time according to the historical snowfall stop time of the target highway point and the snowfall prediction information; Determine the estimated wind speed for the start of snowstorm at the target highway point at the preset future time according to the temperature forecast information, the snow accumulation duration information and the preset multi-level wind speed estimation model for the start of snowstorm; The preset multi-level wind and snow starting wind speed estimation model includes multiple single-level wind and snow starting wind speed estimation models; the wind and snow starting wind speed estimation information of the target highway point at the preset future time is determined according to the temperature forecast information, the snow accumulation duration information and the preset multi-level wind and snow starting wind speed estimation model, including: According to the temperature forecast information, a target single-layer wind and snow starting wind speed estimation model is determined from the preset multi-layer wind and snow starting wind speed estimation model; According to the snow accumulation time information and the target single-level wind and snow starting wind speed estimation model, the wind and snow starting wind speed estimation information of the target highway point at the preset future time is determined, and the multiple single-level wind and snow starting wind speed estimation models correspond to multiple temperature intervals one by one, and there is no intersection between any two of the temperature intervals; according to the temperature prediction information, the target single-level wind and snow starting wind speed estimation model is determined from the preset multi-level wind and snow starting wind speed estimation models, including: Determining a temperature interval that matches the temperature forecast information from the plurality of temperature intervals; The single-layer wind and snow starting wind speed estimation model corresponding to the determined temperature range is determined as the target single-layer wind and snow starting wind speed estimation model. The preset multi-level wind speed estimation model for blowing snow is expressed by the following formula: In formula (1), U 10 It indicates the estimated wind speed information of blowing snow at a height of 10m above the ground, P indicates the snow accumulation time information, and T indicates the temperature.

2. The method according to claim 1, characterized in that The weather forecast information also includes wind speed forecast information. After determining the wind speed estimation information of the target highway point at the preset future time based on the temperature forecast information, the snow accumulation duration information and the preset multi-level wind speed estimation model for wind and snow, the method further includes: When the wind speed forecast information is not less than the wind and snow starting wind speed estimation information, it is determined that the wind and snow forecast result is that wind and snow will occur at the target highway point.

3. An electronic device, characterized in that: The electronic device comprises: one or more processors; A memory having one or more computer programs stored thereon, wherein when the one or more computer programs are executed by the one or more processors, the one or more processors implement the method for dynamically estimating the starting wind speed of snow blowing on highways according to claim 1 or 2.

4. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for dynamically estimating the starting wind speed of snow blowing on highways according to claim 1 or 2 is implemented.

Images