Early warning method, device and equipment for pavement icing and storage medium

Abstract

The invention discloses a road surface icing early warning method, device and equipment and a storage medium. The method comprises the following steps: acquiring historical icing data of each road section in a target road area; the historical icing data comprises historical weather data, icing time, icing disaster degree and corresponding historical road surface temperature when the road section is iced; determining icing critical conditions of each road section based on the historical icing data of each road section; obtaining current meteorological related data of each road section; the current meteorological related data of each road section comprises meteorological elements and road surface temperature of each road section; and comparing the current meteorological related data of each road section with the icing critical condition of each road section, and performing early warning on the road section meeting the icing condition. According to the method, a nationwide road icing prediction model can be constructed, support is provided for predicting nationwide road traffic conditions, intelligent release of early warning is realized, and information support is provided for road traffic guarantee.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of road warning, in particular to a road ice warning method, device, equipment and storage medium. BACKGROUND

[0002] In the method for predicting road icing, a correlation analysis method is generally used to determine the relationship between meteorological factors and road icing, and an influence index equation of road icing is established by combining the influence of the factors on road icing and verifying the influence of the factors on road icing based on the driving speed of vehicles on the road. Based on the road icing influence index equation and the determined values of each parameter in the road icing influence index equation, the national road icing influence index value is calculated, and the forecast level of the national road icing influence index corresponding to the national road icing influence index value is determined, and according to the forecast level of the national road icing influence index, the forecast of the national road icing influence degree is made in combination with the forecast meteorological factor information and the road actual situation. Considering meteorological factors, road factors and real-time correlation data, the road icing is predicted based on multi-dimensional data.

[0003] However, the correlation analysis method is usually based on linear relationship, but the relationship between weather and road conditions in actual situation may be nonlinear, which means that the correlation analysis may not capture the complex interactions in real environment. In addition, correlation analysis often focuses on the relationship between a few key indicators. In fact, road icing may be the result of the joint action of multiple factors, and ignoring other potential influencing factors may reduce the accuracy of the prediction. SUMMARY

[0004] The present disclosure provides a road ice warning method, device, equipment and storage medium to at least solve the above technical problems existing in the prior art.

[0005] According to a first aspect of the present application, a road ice warning method is provided, the method comprising:

[0006] obtaining historical icing data of each road section in a target road area; the historical icing data includes historical weather data, icing time, icing disaster degree and corresponding historical road surface temperature when the road section is iced;

[0007] determining the icing critical condition of each road section based on the historical icing data of each road section;

[0008] obtaining current meteorological related data of each road section; the current meteorological related data of each road section includes meteorological elements and road surface temperature of each road section;

[0009] comparing the current meteorological related data of each road section with the icing critical condition of each road section, and warning the road section that meets the icing condition.

[0010] In an embodiment, the obtaining historical icing data of each road segment in the target road area comprises:

[0011] obtaining weather data, icing time, icing disaster degree and road surface temperature when each road segment in the target road area is iced;

[0012] determining weather factors and icing disaster risk of each road segment based on the weather data, icing time, icing disaster degree and road surface temperature.

[0013] In an embodiment, after the obtaining historical icing data of each road segment in the target road area, the method further comprises:

[0014] performing integrity check on the historical icing data;

[0015] when there is a default value in the historical icing data, supplementing the historical icing data by using linear interpolation method.

[0016] In an embodiment, the determining weather factors and icing disaster risk of each road segment based on the weather data, icing time, icing disaster degree and road surface temperature comprises:

[0017] determining weather factors when each road segment is iced based on the weather data; the weather factors include historical temperature, precipitation, snowfall, humidity and road surface temperature;

[0018] determining weights of each weather factor affecting road icing according to the weather factors, icing time, icing disaster degree, road surface temperature and occurrence frequency and regional range of historical icing disaster;

[0019] determining icing disaster probability of different road segments according to the weights of each weather factor and preset disaster factor;

[0020] dividing risk zones of road icing according to the icing disaster probability.

[0021] In an embodiment, the road surface temperature is obtained by using a pre-constructed weather factor prediction model; the weather factor prediction model outputs road surface temperature based on initial road surface temperature, local terrain, road type, altitude, light and traffic condition.

[0022] In an embodiment, before the pre-warning on the road segment meeting icing condition, the method further comprises:

[0023] checking the icing prediction result of the road, and displaying the checking result.

[0024] According to a second aspect of the present application, a road icing pre-warning device is provided, the device comprising:

[0025] The first acquisition module is used to obtain historical icing data of each road segment in the target road area; the historical icing data includes historical weather data when the road segment is frozen, freezing time, degree of icing disaster and corresponding historical road surface temperature;

[0026] a determination module, configured to determine a critical icing condition for each road segment based on historical icing data of each road segment;

[0027] A second acquisition module is used to acquire current weather-related data of each road segment; the current weather-related data of each road segment includes weather elements and road surface temperature of each road segment;

[0028] The early warning module is used to compare the current weather-related data of each road section with the critical icing conditions of each road section, and issue an early warning on the road section that meets the icing conditions.

[0029] According to a third aspect of the present application, an electronic device is provided, including:

[0030] at least one processor; and

[0031] a memory communicatively connected to the at least one processor; wherein,

[0032] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in this application.

[0033] According to a fourth aspect of the present application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the present application.

[0034] According to a fifth aspect of the present application, a computer program product is provided, comprising a computer program or instructions, which implement the method described in the present application when executed by a processor.

[0035] By using the technical solution of this application, a nationwide road icing prediction model can be constructed to provide support for predicting the national road traffic situation, realize the intelligent issuance of early warnings, and provide information support for road traffic security.

[0036] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description read in conjunction with the accompanying drawings, in which:

[0038] In the drawings, identical or corresponding components are denoted by identical or corresponding reference numerals.

[0039] Figure 1 An implementation flowchart of a road icing early warning method in an embodiment of the present application is shown;

[0040] Figure 2 An implementation block diagram of a road icing early warning method in an embodiment of the present application is shown;

[0041] Figure 3 A schematic diagram of the composition structure of an electronic device in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0042] To make the purposes, features and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0043] To make the purposes, technical solutions and advantages of the present application more clear, the present application will be described in further detail below with reference to the drawings. The described embodiments should not be regarded as limiting the present application, and all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0044] As shown in the drawings, the present application provides a road icing early warning method, which comprises: Figure 1

[0045] S101, historical icing data of each road section in a target road area is acquired; the historical icing data comprises historical weather data, icing time, icing disaster degree and corresponding historical road surface temperature when the road section is iced;

[0046] In the present application, the main roads in the target road area guarantee area range are highways and national roads. The historical icing data contains information such as icing occurrence time, road section and disaster degree caused, a quality checking method for different data sources can be established, different icing data can be compiled, a historical icing disaster data database can be established, effective storage and query calling of road icing data can be realized, and historical icing data can be effectively queried and displayed through GIS.​

[0047] In some embodiments, the historical icing data of each road section in the target road area is obtained by:

[0048] obtaining weather data, icing time, icing disaster degree and road surface temperature of each road section in the target road area when icing occurs;

[0049] determining the weather factors and the icing disaster risk of each road section based on the weather data, the icing time, the icing disaster degree and the road surface temperature.

[0050] The historical air temperature, precipitation, snowfall, humidity and other meteorological elements of the conventional meteorological stations around the roads in the protection area are closely related to the road icing, and the road meteorological stations along the roads monitor the elements (road surface temperature, etc.). The data of this type of data are necessary for diagnosis and quality control strategy. According to the characteristics of different meteorological elements, the corresponding objective analysis method is used to interpolate the data of the conventional meteorological stations along the road. The data of the conventional meteorological stations, the data along the road, and the objective analyzed data are recorded in the comprehensive meteorological database according to the predetermined storage strategy, and the display, query and other functions based on GIS are realized.

[0051] In some embodiments, after obtaining the historical icing data of each road section in the target road area, the method further comprises:

[0052] performing integrity check on the historical icing data;

[0053] when there is a default value in the historical icing data, supplementing the historical icing data by using linear interpolation method.

[0054] In this application, the historical icing data is first subjected to integrity check, and the default position is subjected to linear interpolation processing. The linear interpolation method is used to supplement the missing data points to ensure the continuity of the data and to avoid misjudgment or omission caused by data interruption in a few cases.

[0055] In some embodiments, the method of determining the weather factors and the icing disaster risk of each road section based on the weather data, the icing time, the icing disaster degree and the road surface temperature comprises:

[0056] determining the weather factors of the road section when icing occurs based on the weather data; the weather elements include historical air temperature, precipitation, snowfall, humidity and road surface temperature;

[0057] determining the weight of each weather factor affecting the road icing according to the weather factors, the icing time, the icing disaster degree, the road surface temperature and the occurrence frequency and regional range of the historical icing disaster;

[0058] determine the icing disaster probability of different road sections according to the weights of the various weather factors and the preset disaster factor;

[0059] divide the road icing into risk zones according to the icing disaster probability.

[0060] Specifically, based on the road distribution basic conditions (terrain, illumination, etc.) and the meteorological data along the road, the historical icing disaster occurrence frequency, range, degree and other information in many years, the weights of different meteorological and disaster factors affecting road icing are determined by using the analytic hierarchy process or principal component analysis and other big data analysis methods, the icing disaster probability of different road sections is statistically analyzed and classified, different icing probability levels are obtained, and the risk zoning of road icing is realized. The road icing risk zoning data as basic data can be queried and displayed through the GIS interface.

[0061] In some embodiments, the road surface temperature is obtained by using a pre-constructed meteorological element prediction model; the meteorological element prediction model outputs the road surface temperature based on the initial road surface temperature, local terrain, road type, elevation, illumination and traffic conditions.

[0062] In the present application, a unique analysis model is developed based on multi-source meteorological monitoring data, such as a satellite ground icing inversion model, a humidity condition diagnosis model, a radar precipitation pattern analysis model, and a data fusion analysis method suitable for road icing monitoring is developed to realize the rapid monitoring and analysis of road monitoring data along the road, conventional ground meteorological automatic stations, sounding data, radar data, satellite data and other data closely related to road icing.

[0063] S102, determine the icing critical condition of each road section based on the historical icing data of each road section;

[0064] In the present application, a quantitative analysis model of road surface icing and meteorological indicators is established based on the accurate prediction of road surface temperature and the prediction results of surrounding basic meteorological conditions (including precipitation pattern, precipitation type, temperature and humidity conditions, cloud amount and cloud type), the critical meteorological conditions of road surface icing are determined, the prediction of road surface icing conditions is realized, including the predicted icing time, road ice thickness and other variables, and the prediction of road surface icing conditions is realized.

[0065] S103, obtain the current meteorological related data of each road section; the current meteorological related data of each road section includes the meteorological elements and the road surface temperature of each road section;

[0066] S104, compare the current meteorological related data of each road section with the icing critical condition of each road section, and give an early warning on the road section that meets the icing condition.

[0067] Taking into account basic meteorological conditions, road temperature conditions, road icing condition forecasts and other information, the road icing warning type and threshold indicators are determined, and an icing information display platform and a warning information support platform based on road distribution are established to realize the intelligent warning release of road icing.

[0068] In some embodiments, before issuing a warning on a road segment that meets icing conditions, the method further includes:

[0069] The road icing forecast results are tested and the test results are displayed.

[0070] This application builds a comprehensive road ice accumulation information platform based on the B / S architecture. By building a database, it collects and stores product data from each module, and can query and display forecast evaluation results at any specified time through the GIS interface.

[0071] Compared to traditional correlation analysis methods for predicting road icing, the road icing warning method provided in this application utilizes big data analysis methods such as hierarchical analysis and principal component analysis to determine the weights of different meteorological and disaster factors affecting road icing. This method statistically analyzes and classifies the probability of icing disasters on different road sections, deriving different levels of icing probability and implementing risk zoning for road icing. This method enables rapid monitoring of road conditions and accurate forecasting and warning. The road icing forecast provides: short-term forecasts of 0 to 72 hours, short-term forecasts of 0 to 6 hours, and nowcasts of 0 to 2 hours; the short-term forecast accuracy is no less than 75%; the short-term forecast accuracy is no less than 78%; and the nowcast accuracy is no less than 80%.

[0072] Compared to using national historical meteorological information to predict road icing, this method cannot perform necessary diagnostics and quality control strategies on the data. The historical meteorological data analysis and processing module used in this invention compiles and analyzes historical temperature, precipitation, snowfall, humidity and other meteorological elements closely related to road icing at conventional meteorological stations around the roads in the protection area, as well as monitoring elements (such as road surface temperature) at road meteorological stations along the roads. Based on the characteristics of different meteorological elements, corresponding objective analysis methods are used to interpolate the data from conventional meteorological stations to the distribution along the roads.

[0073] like Figure 2 As shown, the present application provides a road ice accumulation warning device, the device comprising:

[0074] The first acquisition module 201 is used to acquire historical icing data of each road segment in the target road area; the historical icing data includes historical weather data when the road segment is frozen, freezing time, degree of icing disaster and corresponding historical road surface temperature;

[0075] The determining module 202 is configured to determine icing critical conditions of each road section based on historical icing data of the road sections.

[0076] The second obtaining module 203 is configured to obtain current meteorological related data of each road section, wherein the current meteorological related data of each road section comprises meteorological elements and road surface temperature of each road section.

[0077] The warning module 204 is configured to compare the current meteorological related data of each road section with the icing critical conditions of the road sections, and give a warning on the road sections meeting the icing conditions.

[0078] The working principle of the road icing warning device provided by the present application is that the first obtaining module 201 obtains historical icing data of each road section in a target road area, wherein the historical icing data comprises historical weather data, icing time, icing disaster degree and corresponding historical road surface temperature when the road section is iced; the determining module 202 determines icing critical conditions of each road section based on the historical icing data of the road sections; the second obtaining module 203 obtains current meteorological related data of each road section, wherein the current meteorological related data of each road section comprises meteorological elements and road surface temperature of each road section; and the warning module 204 compares the current meteorological related data of each road section with the icing critical conditions of the road sections, and gives a warning on the road sections meeting the icing conditions.

[0079] According to the embodiments of the present application, the present application further provides an electronic device and a readable storage medium.

[0080] The electronic device comprises at least one processor, and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the road icing warning method provided by the present application. The computer instructions are used to enable the computer to execute the road icing warning method provided by the present application.

[0081] The present application further provides a computer program product comprising computer programs / instructions, which, when executed by a processor, implement the road icing warning method provided by the present application.

[0082] Figure 3A schematic block diagram of an example electronic device 800 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or claimed herein.

[0083] like Figure 3 As shown, the device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. Various programs and data required for the operation of the device 800 can also be stored in the RAM 803. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0084] Various components in device 800 are connected to I / O interface 805, including an input unit 806, such as a keyboard, mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a magnetic disk, optical disk, etc.; and a communication unit 809, such as a network card, modem, wireless communication transceiver, etc. The communication unit 809 allows device 800 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0085] The computing unit 801 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs various methods and processes described above, such as the road ice warning method. For example, in some embodiments, the road ice warning method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded onto the RAM 803 and executed by the computing unit 801, one or more steps of the road ice warning method described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the road ice warning method by any other suitable means, such as by means of firmware.

[0086] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0087] Program code for carrying out methods of the present application can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces the functions / operations specified in the flowcharts and / or the block diagrams. The program code can be embodied in whole or in part within a machine, executed partially on the machine, partially on a remote machine, or entirely on a remote machine or server.

[0088] In the context of this application, a machine-readable medium can be a tangible medium that can contain or store program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable storage medium can include but are not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0089] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0090] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0091] The computer system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0092] The above description is only specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A road ice early warning method, characterized in that: The method comprises: Obtain historical icing data for each road segment within the target road area; the historical icing data includes historical weather data, icing time, icing disaster severity, and corresponding historical road surface temperature when the road segment was frozen; determining a critical icing condition for each road segment based on historical icing data for each road segment; Acquiring current weather-related data for each road segment; the current weather-related data for each road segment includes weather elements and road surface temperature for each road segment; The current weather-related data of each road section is compared with the critical icing conditions of each road section, and an early warning is issued on the road section that meets the icing conditions.

2. The method according to claim 1, characterized in that The acquisition of historical icing data of each road segment within the target road area includes: Obtain weather data, freezing time, freezing damage degree and road surface temperature for each road section in the target road area when it freezes; The weather factors and the ice hazard risk of each road section are determined based on the weather data, ice formation time, ice hazard degree and road surface temperature.

3. The method according to claim 2, characterized in that After obtaining the historical icing data of each road section in the target road area, the method further includes: Performing integrity check on the historical icing data; When the historical freezing data has a default value, a linear interpolation method is used to supplement the historical freezing data.

4. The method according to claim 2, characterized in that The determining of weather factors and ice accumulation hazard risks of each road section based on the weather data, ice formation time, ice formation hazard degree and road surface temperature includes: determining weather factors when the road segment is icy based on the weather data; the weather factors include historical temperature, precipitation, snowfall, humidity, and road surface temperature; Determine the weight of each weather factor affecting road icing based on the weather factors, icing time, icing disaster severity, road surface temperature, and the frequency and regional scope of historical icing disasters; Determining the probability of ice accumulation disasters on different road sections based on the weights of the various weather factors and preset disaster factors; Risk zoning for road icing is performed based on the icing disaster probability.

5. The method according to claim 1, wherein The road surface temperature is obtained using a pre-built meteorological element forecast model; the meteorological element forecast model outputs the road surface temperature based on the initial road surface temperature, local topography, road type, altitude, lighting and traffic conditions.

6. The method according to claim 1, characterized in that Before issuing an early warning on a road section that meets icy conditions, the following also applies: The road icing forecast results are tested and the test results are displayed.

7. A road ice warning device, characterized in that: The device comprises: The first acquisition module is used to obtain historical icing data of each road segment in the target road area; the historical icing data includes historical weather data when the road segment is frozen, freezing time, degree of icing disaster and corresponding historical road surface temperature; a determination module, configured to determine a critical icing condition for each road segment based on historical icing data of each road segment; A second acquisition module is used to acquire current weather-related data of each road segment; the current weather-related data of each road segment includes weather elements and road surface temperature of each road segment; The early warning module is used to compare the current weather-related data of each road section with the critical icing conditions of each road section, and issue an early warning on the road section that meets the icing conditions.

8. An electronic device, characterized in that: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 6.

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