A Distributed Meteorological Data Transmission and Processing Method for Regional Meteorological Alarm

Abstract

The present invention relates to the technical field of meteorological and traffic data processing, and discloses a distributed meteorological data transmission and processing method for regional meteorological alarm. By obtaining the distributed meteorological data of the target area, constructing a meteorological alarm analysis reference feature set and predicting the meteorological information of each position coordinate in the target area at the target time period, according to the path information of the target highway and the predicted meteorological information, generating regional meteorological alarm information, and then using the highway traffic flow prediction database, considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm period of the regional alarm range, generating a restricted speed setting strategy, and by performing dynamic restricted speed settings with different unit periods in different sections of the target highway, using the reasonable setting of the restricted speed to regulate the traffic flow and vehicle driving speed in different sections of the highway, so as to improve the driving safety and traffic efficiency of the driving vehicles in the corresponding meteorological environment of the highway.

Description

Technical Field

[0001] The present invention relates to the technical field of meteorological and traffic data processing, and particularly to a distributed meteorological data transmission and processing method for regional meteorological alarm. Background Art

[0002] Meteorological early warning enables the traffic management department to obtain in advance information about severe weather, such as the impending arrival of heavy rain, heavy snow, fog, strong wind, etc., so as to formulate in advance a traffic safety control plan according to the degree of influence of different meteorological conditions on traffic. Especially for traffic safety control in the highway scenario, it can reduce the occurrence of highway traffic accidents and improve traffic safety.

[0003] Currently, for traffic safety control on highways, a simple road section closure method is usually adopted, that is, traffic control is carried out on the highway when the meteorological conditions meet certain requirements. This method has low precision control over highway traffic: on the one hand, it cannot play its due control role when the meteorological conditions are at the edge of the critical value; on the other hand, when the meteorological conditions are below the critical value, it does not mean that the highway is in a safe environment. The existing simple closure management cannot control and adjust the traffic safety of highways in weak danger scenarios, reducing the control efficiency and implementation effect. At the same time, the two main factors affecting highway safety are traffic flow and driving speed, both of which have a positive correlation with highway driving safety (that is, the greater the traffic flow, the lower the highway safety; the faster the driving speed, the lower the highway safety), but they also show a negative correlation change relationship (that is, the greater the traffic flow, the slower the driving speed), and the regulation of these two factors will directly affect the traffic efficiency of highways. When carrying out traffic safety control on highways, adjusting traffic flow and driving speed according to meteorological information is a feasible control plan. However, in the existing technology, there are only single solutions that separately consider adjusting traffic flow and separately consider controlling the driving speed in a section to improve highway driving safety, and there is no implementation solution that simultaneously considers adjusting traffic flow and controlling the driving speed in a section. Moreover, when considering meteorological information and the overall traffic efficiency of highways, it further increases the difficulty of generating highway safety control strategies.

[0004] Therefore, how to achieve highway traffic control considering the influence of the meteorological environment, while reasonably regulating traffic flow and section speed limits, and improving the traffic safety and overall traffic efficiency of highways is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] The present invention provides a distributed meteorological data transmission and processing method for regional meteorological alarm, aiming to solve at least one of the above technical problems.

[0006] To achieve the above object, the present invention provides a distributed meteorological data transmission and processing method for regional meteorological alarm, including the following steps:

[0007] Obtain the distributed meteorological data of the target area, and extract the meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data;

[0008] Construct the meteorological alarm analysis reference feature set of each meteorological monitoring station with the location information of each meteorological monitoring station and the collected meteorological element information, and predict the meteorological information of each position coordinate in the target area at the target time period based on the meteorological alarm analysis reference feature set and the historical meteorological database;

[0009] According to the path information of the target expressway and the meteorological information of each position coordinate in the target area at each unit cycle during the target time period, generate several regional meteorological alarm information including regional alarm time period, regional alarm range and regional alarm level, and determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period;

[0010] Access the expressway traffic flow prediction database of the target area, and generate the speed limit setting strategy of each expressway section of the target expressway during the target time period considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period;

[0011] Send the speed limit setting strategy to the speed limit controller of the expressway section, and drive the speed limit display device set by the speed limit controller of each expressway section to execute the speed limit display action corresponding to the expressway section;

[0012] At the end of each unit cycle of the target time period, judge whether the target expressway meets the speed limit setting update condition. If so, return to regenerate the speed limit setting strategy of each expressway section of the target expressway during the target time period.

[0013] Optionally, the step of obtaining the distributed meteorological data of the target area and extracting the meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data specifically includes:

[0014] Use the distributed meteorological database to receive in real time the meteorological element information collected and uploaded by several meteorological monitoring stations in the target area; wherein, the meteorological element information includes the meteorological element characteristics and meteorological element time collected by each meteorological monitoring station;

[0015] Extract the meteorological element time in each meteorological element information, and extract all the meteorological element information whose meteorological element time falls within the prediction correlation time period of the target time period, and construct it into the distributed meteorological data of the target area.

[0016] Optionally, constructing the location information of each meteorological monitoring station and the collected meteorological element information into a meteorological alarm analysis reference feature set for the meteorological monitoring station, and predicting the meteorological information of each location coordinate in the target area during the target period based on the meteorological alarm analysis reference feature set and the historical meteorological database. The specific steps include:

[0017] Obtain the location information of each meteorological monitoring station, write the location information as the meteorological element location into the meteorological element information collected and uploaded by the corresponding meteorological monitoring station, and construct a meteorological alarm analysis reference feature set composed of several meteorological element features with different meteorological element locations and different meteorological element times;

[0018] Call the historical meteorological database, and use the historical meteorological database and several meteorological element features with different meteorological element locations and different meteorological element times recorded in the meteorological alarm analysis reference feature set to predict the meteorological information of each location coordinate in the target area during the target period.

[0019] Optionally, calling the historical meteorological database, and using the historical meteorological database and several meteorological element features with different meteorological element locations and different meteorological element times recorded in the meteorological alarm analysis reference feature set to predict the meteorological information of each location coordinate in the target area during the target period. The specific steps include:

[0020] Extract the meteorological information corresponding to each location coordinate in several meteorological events recorded in the historical meteorological database and the meteorological alarm analysis historical feature set of the prediction correlation period of several reference location coordinates within the preset distance range to which the location coordinate belongs during the target period, and input it into the pre-constructed initial convolutional neural network for training to obtain a trained meteorological alarm analysis prediction model;

[0021] Use the meteorological alarm analysis reference features of several reference location coordinates within the preset distance range to which each location coordinate in the meteorological alarm analysis reference feature set belongs as the prediction samples of the location coordinate, and input them into the meteorological alarm analysis prediction model to obtain the meteorological information of each location coordinate in the target area during the target period output by the meteorological alarm analysis prediction model.

[0022] Optionally, according to the path information of the target expressway and the meteorological information of each location coordinate in the target area during each unit period of the target period, generating several pieces of regional meteorological alarm information including the regional alarm period, regional alarm range, and regional alarm level, and determining the maximum traffic flow value and the highest driving speed within each regional alarm range during the corresponding regional alarm period. The specific steps include:

[0023] Generate a number of regional meteorological alarm messages according to the path information of the target highway and the meteorological information of each position coordinate in the target area during each unit period within the target time period; wherein, each regional meteorological alarm message includes a regional alarm time period, a regional alarm range, and a regional alarm level.

[0024] Use the regional alarm level to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range.

[0025] Optionally, the step of generating a number of regional meteorological alarm messages according to the path information of the target highway and the meteorological information of each position coordinate in the target area during each unit period within the target time period specifically includes:

[0026] Obtain the path information of the target highway, extract a number of path trajectory points, and perform meteorological information matching on the path trajectory points according to the position coordinates of each path trajectory point and the meteorological information of each position coordinate in the target area during the target time period to obtain the meteorological information of each path trajectory point during the target time period.

[0027] Based on the pre-defined regional meteorological alarm rules, generate a number of regional meteorological alarm messages including a regional alarm time period, a regional alarm range, and a regional alarm level.

[0028] Optionally, the step of using the regional alarm level to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range specifically includes:

[0029] Extract the traffic flow values, driving speeds, and regional alarm levels corresponding to a number of highway accidents recorded in the historical highway accident database.

[0030] First, classify a number of highway accidents according to the regional alarm level, and respectively count the first relationship comparison table of different traffic flow values and the number of highway accident occurrences and the second relationship comparison table of different driving speeds and the number of highway accident occurrences under each category.

[0031] In the first relationship comparison table, accumulate the number of highway accident occurrences in ascending order of traffic flow values until the number of highway accident occurrences reaches the target ratio, and use the corresponding traffic flow value at this time as the maximum traffic flow value within the corresponding regional alarm time period for each regional alarm range with the same regional alarm level.

[0032] In the second relationship comparison table, accumulate the number of highway accident occurrences in ascending order of driving speeds until the number of highway accident occurrences reaches the target ratio, and use the corresponding driving speed at this time as the highest driving speed within the corresponding regional alarm time period for each regional alarm range with the same regional alarm level.

[0033] Optionally, access the highway traffic flow prediction database of the target area, and generate the restricted speed setting strategy steps for each highway section of the target highway during the target period by considering the maximum traffic flow value and the highest driving speed within the alarm range of each area during the corresponding area alarm period. Specifically, it includes:

[0034] Access the pre-generated highway traffic flow prediction database of the target area, and extract the predicted traffic flow values for each unit cycle of each highway section of the target highway during the target period recorded in the highway traffic flow prediction database;

[0035] Based on the predicted traffic flow values for each unit cycle of each highway section of the target highway during the target period, consider the maximum traffic flow value and the highest driving speed within the alarm range of each area during the corresponding area alarm period. With the maximum traffic flow value and the highest driving speed as the constraint conditions and the maximum traffic efficiency of the target highway as the optimization objective, optimize and solve the restricted speed setting strategy for each highway section of the target highway during the target period.

[0036] Optionally, based on the predicted traffic flow values for each unit cycle of each highway section of the target highway during the target period, consider the maximum traffic flow value and the highest driving speed within the alarm range of each area during the corresponding area alarm period. With the maximum traffic flow value and the highest driving speed as the constraint conditions and the maximum traffic efficiency of the target highway as the optimization objective, optimize and solve the restricted speed setting strategy steps for each highway section of the target highway during the target period. Specifically, it includes:

[0037] Based on the predicted traffic flow values for each unit cycle of each highway section of the target highway during the target period, consider the maximum traffic flow value and the highest driving speed within the alarm range of each area during the corresponding area alarm period;

[0038] Take the restricted speed set for each unit cycle of each highway section during the target period being less than the highest driving speed corresponding to the alarm range of the area to which the highway section belongs and the area alarm period as the first constraint condition, and take the traffic flow regulation value for each unit cycle of each highway section during the target period determined based on the predicted traffic flow value for each unit cycle of each highway section and the restricted speed set for each highway section being less than the maximum traffic flow value within the alarm range of the area to which the highway section belongs and the corresponding area alarm period of the unit cycle as the second constraint condition, and take the maximum cumulative value of the sum of the restricted speeds set for each unit cycle of each highway section in the entire target highway during the target period as the optimization objective;

[0039] Optimize the restricted speed setting strategy for each highway section of the target highway in each unit cycle during the target time period.

[0040] Optionally, at the end of each unit cycle of the target time period, determine whether the target highway meets the restricted speed setting update condition. If so, return to the step of regenerating the restricted speed setting strategy for each highway section of the target highway during the target time period, specifically including:

[0041] At the end of each unit cycle of the target time period, re-predict the meteorological information of each position coordinate in the target area during the target time period, and re-obtain the predicted traffic flow value of each highway section of the updated target highway in each unit cycle during the target time period;

[0042] Based on the re-predicted meteorological information and the re-obtained predicted traffic flow value, determine whether the target highway meets the restricted speed setting update condition. If so, return to the step of regenerating the restricted speed setting strategy for each highway section of the target highway during the target time period;

[0043] Among them, the restricted speed setting update condition specifically includes at least one of the following situations:

[0044] Calculate the difference ratio between the re-predicted meteorological information of each position coordinate during the target time period and the previously predicted meteorological information of each position coordinate during the target time period. When the difference ratio exceeds the first preset value, it is determined that the restricted speed setting update condition is met;

[0045] Calculate the difference ratio between the re-obtained predicted traffic flow value of each highway section of the target highway in each unit cycle during the target time period and the previously obtained predicted traffic flow value of each highway section of the target highway in each unit cycle during the target time period. When the difference ratio exceeds the second preset value, it is determined that the restricted speed setting update condition is met.

[0046] In addition, to achieve the above object, the present invention also provides a distributed meteorological data transmission and processing system for regional meteorological alarm, including:

[0047] An acquisition module for acquiring distributed meteorological data of the target area and extracting meteorological element information collected and uploaded by a number of meteorological monitoring stations included in the distributed meteorological data;

[0048] A prediction module for constructing a meteorological alarm analysis reference feature set of each meteorological monitoring station by combining the position information of each meteorological monitoring station with the collected meteorological element information, and predicting the meteorological information of each position coordinate in the target area during the target time period based on the meteorological alarm analysis reference feature set and the historical meteorological database;

[0049] A determination module, configured to generate a number of regional meteorological alarm messages including a regional alarm period, a regional alarm range, and a regional alarm level according to the path information of the target highway and the meteorological information of each position coordinate in the target area during each unit period of the target time period, and determine the maximum traffic flow value and the highest driving speed of each regional alarm range during the corresponding regional alarm period;

[0050] A generation module, configured to access the highway traffic flow prediction database of the target area, and generate a speed limit setting strategy for each highway section of the target highway during the target time period by considering the maximum traffic flow value and the highest driving speed of each regional alarm range during the corresponding regional alarm period;

[0051] An execution module, configured to send the speed limit setting strategy to the highway section speed limit controller, and drive the highway section speed limit controller to control the speed limit display devices set for each highway section to perform the speed limit display actions corresponding to each highway section;

[0052] An update module, configured to determine whether the target highway meets the speed limit setting update condition at the end of each unit period of the target time period. If so, return to regenerate the speed limit setting strategy for each highway section of the target highway during the target time period.

[0053] The beneficial effects of the present invention are as follows: A distributed meteorological data transmission and processing method for regional meteorological alarm is proposed. By acquiring the distributed meteorological data of the target area, constructing a meteorological alarm analysis reference feature set and predicting the meteorological information of each position coordinate in the target area during the target time period, generating regional meteorological alarm messages according to the path information of the target highway and the predicted meteorological information, and then using the highway traffic flow prediction database, considering the maximum traffic flow value and the highest driving speed of each regional alarm range during the corresponding regional alarm period, generating a speed limit setting strategy for each highway section of the target highway during the target time period. By performing dynamic speed limit settings for different unit periods in different sections of the target highway, regulating the traffic flow and vehicle driving speed of different sections of the highway through reasonable speed limit settings, so as to improve the driving safety and traffic efficiency of the driving vehicles in the corresponding meteorological environment of the highway. At the same time, by monitoring the real-time status of the actual meteorological information and the actual traffic flow to update the speed limit setting strategy, the scenario adaptability and control accuracy of highway traffic safety control can be improved. Description of the Drawings

[0054] Figure 1 It is a flow chart of the distributed meteorological data transmission and processing method for regional meteorological alarm of the present invention;

[0055] Figure 2This is a schematic structural diagram of a distributed meteorological data transmission and processing system for regional meteorological alarm in the present invention. Detailed implementation manners

[0056] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0057] An embodiment of the present invention provides a distributed meteorological data transmission and processing method for regional meteorological alarm. Refer to Figure 1 , Figure 1 This is a schematic flowchart of the distributed meteorological data transmission and processing method for regional meteorological alarm in the embodiment of the present invention. The distributed meteorological data transmission and processing method for regional meteorological alarm includes the following steps:

[0058] S100: Obtain the distributed meteorological data of the target area, and extract the meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data;

[0059] S200: Construct the meteorological alarm analysis reference feature set of each meteorological monitoring station with the position information of each meteorological monitoring station and the collected meteorological element information, and predict the meteorological information of each position coordinate in the target area at the target time period based on the meteorological alarm analysis reference feature set and the historical meteorological database;

[0060] S300: Generate several pieces of regional meteorological alarm information including the regional alarm time period, regional alarm range and regional alarm level according to the path information of the target expressway and the meteorological information of each position coordinate in the target area at each unit cycle during the target time period, and determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period;

[0061] S400: Access the expressway traffic flow prediction database of the target area, and generate the speed limit setting strategy of each expressway section of the target expressway during the target time period considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period;

[0062] S500: Send the speed limit setting strategy to the speed limit controller of the expressway section, and drive the speed limit display device set by the speed limit controller of each expressway section to perform the speed limit display action corresponding to each expressway section;

[0063] S600: At the end of each unit cycle in the target time period, determine whether the target highway meets the condition for updating the speed limit setting. If so, return to regenerate the speed limit setting strategy for each highway section of the target highway within the target time period.

[0064] It should be noted that for the traffic safety control of highways, a simple road section closure method is usually adopted, that is, traffic control is carried out on the highway when the meteorological conditions meet certain requirements. This method has a low level of fine control over highway traffic: on the one hand, it cannot play its due control role when the meteorological conditions are on the verge of the critical value; on the other hand, when the meteorological conditions are below the critical value, it does not mean that the highway is in a safe environment. The existing simple closure management cannot control and adjust the traffic safety of highways in weak danger scenarios, reducing the control efficiency and implementation effect. At the same time, the two main factors affecting highway safety are traffic flow and driving speed, both of which have a positive correlation with the safety of highway driving (that is, the greater the traffic flow, the lower the highway safety, and the faster the driving speed, the lower the highway safety), but there is a negative correlation between them (that is, the greater the traffic flow, the slower the driving speed), and the regulation of these two factors will directly affect the traffic efficiency of the highway. When carrying out highway traffic safety control, adjusting traffic flow and driving speed according to meteorological information is a feasible control plan. However, in the existing technology, there are only single solutions that separately consider adjusting traffic flow and separately consider controlling the driving speed of sections to improve highway driving safety, and there is no implementation solution that simultaneously considers adjusting traffic flow and controlling the driving speed of sections. Moreover, when considering meteorological information and the overall traffic efficiency of the highway, it further increases the difficulty of generating highway traffic safety control strategies.

[0065] To solve the above problems, in this embodiment, by obtaining the distributed meteorological data of the target area, constructing a meteorological alarm analysis reference feature set and predicting the meteorological information of each position coordinate in the target area within the target time period, generating regional meteorological alarm information according to the path information of the target highway and the predicted meteorological information, and then using the highway traffic flow prediction database, considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range, generating the speed limit setting strategy for each highway section of the target highway within the target time period. By implementing dynamic speed limit settings with different unit cycles in different sections of the target highway, using reasonable speed limit settings to regulate the traffic flow and vehicle driving speed in different sections of the highway, so as to improve the driving safety and traffic efficiency of the driving vehicles in the corresponding meteorological environment of the highway. At the same time, by monitoring the real-time status of the actual meteorological information and the actual traffic flow to update the speed limit setting strategy, the scenario adaptability and control accuracy of highway traffic safety control can be improved.

[0066] In a preferred embodiment, the steps of obtaining distributed meteorological data of a target area and extracting meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data specifically include:

[0067] S110: Use a distributed meteorological database to receive in real time meteorological element information collected and uploaded by several meteorological monitoring stations in the target area; wherein, the meteorological element information includes meteorological element characteristics and meteorological element time collected by each meteorological monitoring station;

[0068] S120: Extract the meteorological element time in each meteorological element information, and extract all meteorological element information whose meteorological element time falls within the prediction correlation period of the target period, and construct it into the distributed meteorological data of the target area.

[0069] On this basis, the steps of constructing the position information of each meteorological monitoring station and the collected meteorological element information into a meteorological alarm analysis reference feature set of the meteorological monitoring station, and predicting the meteorological information of each position coordinate in the target area at the target period based on the meteorological alarm analysis reference feature set and the historical meteorological database specifically include:

[0070] S210: Obtain the position information of each meteorological monitoring station, write the position information as the meteorological element position into the meteorological element information collected and uploaded by the corresponding meteorological monitoring station, and construct a meteorological alarm analysis reference feature set composed of several meteorological element characteristics with different meteorological element positions and different meteorological element times;

[0071] S220: Call the historical meteorological database, and use several meteorological element characteristics with different meteorological element positions and different meteorological element times recorded in the historical meteorological database and the meteorological alarm analysis reference feature set to predict the meteorological information of each position coordinate in the target area at the target period.

[0072] Furthermore, the steps of calling the historical meteorological database and using several meteorological element characteristics with different meteorological element positions and different meteorological element times recorded in the historical meteorological database and the meteorological alarm analysis reference feature set to predict the meteorological information of each position coordinate in the target area at the target period specifically include:

[0073] S221: Extract the meteorological information corresponding to each position coordinate in several meteorological events recorded in the historical meteorological database and the meteorological alarm analysis historical feature set of several reference position coordinates within the preset distance range of the position coordinate in the prediction correlation period of the target period, and input it into a pre-constructed initial convolutional neural network for training to obtain a trained meteorological alarm analysis prediction model;

[0074] S222: Use the meteorological alarm analysis reference features of several reference position coordinates within the preset distance range of each position coordinate in the meteorological alarm analysis reference feature set as the prediction samples of this position coordinate, and input them into the meteorological alarm analysis prediction model to obtain the meteorological information of each position coordinate in the target area at the target time period output by the meteorological alarm analysis prediction model.

[0075] In this embodiment, by obtaining the distributed meteorological data of the target area, extracting the meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data, and by obtaining the position information of the meteorological monitoring stations and writing the position information into the meteorological element information, a meteorological alarm analysis reference feature set composed of several meteorological element features with different meteorological element positions and different meteorological element times is constructed. Then, the meteorological information of each position coordinate in the target area at the target time period is predicted by using the pre-trained meteorological alarm analysis prediction model and the meteorological alarm analysis reference feature set, providing data support for the subsequent generation of the speed limit setting strategy for each highway section at the target time period.

[0076] In a preferred embodiment, according to the path information of the target highway and the meteorological information of each position coordinate in the target area at each unit cycle during the target time period, several pieces of regional meteorological alarm information including the regional alarm time period, regional alarm range, and regional alarm level are generated, and the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range are determined. The specific steps include:

[0077] S310: According to the path information of the target highway and the meteorological information of each position coordinate in the target area at each unit cycle during the target time period, generate several pieces of regional meteorological alarm information; where each piece of regional meteorological alarm information includes the regional alarm time period, regional alarm range, and regional alarm level.

[0078] S320: Use the regional alarm level to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range.

[0079] Furthermore, the step of generating several pieces of regional meteorological alarm information according to the path information of the target highway and the meteorological information of each position coordinate in the target area at each unit cycle during the target time period specifically includes:

[0080] S311: Obtain the path information of the target highway, extract several path trajectory points, and perform meteorological information matching on the path trajectory points according to the position coordinates of each path trajectory point and the meteorological information of each position coordinate in the target area at the target time period to obtain the meteorological information of each path trajectory point at the target time period.

[0081] S312: Generate several pieces of regional meteorological alarm information including regional alarm time periods, regional alarm ranges, and regional alarm levels based on predefined regional meteorological alarm rules.

[0082] Further, the step of using the regional alarm level to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range specifically includes:

[0083] S321: Extract the traffic flow values, driving speeds, and regional alarm levels corresponding to several highway accidents recorded in the historical highway accident database.

[0084] S322: First, classify several highway accidents according to the regional alarm level, and respectively count the first relationship comparison table of different traffic flow values and the number of highway accident occurrences and the second relationship comparison table of different driving speeds and the number of highway accident occurrences under each category.

[0085] S323: In the first relationship comparison table, accumulate the number of highway accident occurrences in ascending order of traffic flow values until the number of highway accident occurrences reaches the target ratio, and use the corresponding traffic flow value at this time as the maximum traffic flow value within the corresponding regional alarm time period for each regional alarm range with the same regional alarm level.

[0086] S324: In the second relationship comparison table, accumulate the number of highway accident occurrences in ascending order of driving speeds until the number of highway accident occurrences reaches the target ratio, and use the corresponding driving speed at this time as the highest driving speed within the corresponding regional alarm time period for each regional alarm range with the same regional alarm level.

[0087] In this embodiment, several pieces of regional meteorological alarm information including regional alarm time periods, regional alarm ranges, and regional alarm levels are generated by obtaining the path information of the target highway and the meteorological information of each position coordinate in the target area within each unit period of the target time period, so as to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range through the statistical data of historical highway accidents.

[0088] In a preferred embodiment, the step of accessing the highway traffic flow prediction database of the target area and generating a speed limit setting strategy for each highway section of the target highway within the target time period considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm time period for each regional alarm range specifically includes:

[0089] S410: Access the pre-generated highway traffic flow prediction database for the target area, and extract the traffic flow prediction values for each highway section of the target highway in each unit cycle within the target time period recorded in the highway traffic flow prediction database;

[0090] S420: Based on the traffic flow prediction values for each highway section of the target highway in each unit cycle within the target time period, consider the maximum traffic flow value and the highest driving speed within the corresponding area alarm period for each area alarm range, and use the maximum traffic flow value and the highest driving speed as constraint conditions, and optimize the target of maximizing the traffic efficiency of the target highway to optimize and solve the restricted speed setting strategy for each highway section of the target highway in the target time period.

[0091] Furthermore, based on the traffic flow prediction values for each highway section of the target highway in each unit cycle within the target time period, consider the maximum traffic flow value and the highest driving speed within the corresponding area alarm period for each area alarm range, and use the maximum traffic flow value and the highest driving speed as constraint conditions, and optimize the target of maximizing the traffic efficiency of the target highway to optimize and solve the steps of the restricted speed setting strategy for each highway section of the target highway in the target time period, specifically including:

[0092] S421: Based on the traffic flow prediction values for each highway section of the target highway in each unit cycle within the target time period, consider the maximum traffic flow value and the highest driving speed within the corresponding area alarm period for each area alarm range;

[0093] S422: Take the first constraint condition that the restricted speed set for each highway section in each unit cycle within the target time period is less than the highest driving speed corresponding to the area alarm range and area alarm period to which the highway section belongs, and take the second constraint condition that the traffic flow regulation value for each highway section in each unit cycle within the target time period determined according to the traffic flow prediction value for each highway section in each unit cycle and the restricted speed set for each highway section is less than the maximum traffic flow value within the corresponding area alarm period of the area alarm range to which the highway section belongs and the unit cycle to which it belongs, and take the maximum cumulative value of the restricted speed sums set for each highway section of the entire target highway in each unit cycle within the target time period as the optimization target;

[0094] S423: Optimize and solve the restricted speed setting strategy for each highway section of the target highway in each unit cycle within the target time period.

[0095] In this embodiment, after generating the regional meteorological alarm information, using the highway traffic flow prediction database, considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm period for each regional alarm range, a speed limit setting strategy for each highway section of the target highway within the target period is generated. By implementing different dynamic speed limit settings for different unit periods in different sections of the target highway, the traffic flow and vehicle driving speed in different sections of the highway are regulated through the reasonable setting of the speed limit, thereby improving the driving safety and traffic efficiency of the driving vehicles under the corresponding meteorological environment on the highway.

[0096] In a preferred embodiment, at the end of each unit period of the target period, it is determined whether the target highway meets the speed limit setting update condition. If so, return to the step of regenerating the speed limit setting strategy for each highway section of the target highway within the target period, which specifically includes:

[0097] S610: At the end of each unit period of the target period, re-predict the meteorological information of each position coordinate within the target period in the target area, and re-obtain the traffic flow prediction value of each unit period within the target period for each highway section of the updated target highway;

[0098] S620: According to the re-predicted meteorological information and the re-obtained traffic flow prediction value, determine whether the target highway meets the speed limit setting update condition. If so, return to the step of regenerating the speed limit setting strategy for each highway section of the target highway within the target period;

[0099] Among them, the speed limit setting update condition specifically includes at least one of the following situations:

[0100] Calculate the difference ratio between the re-predicted meteorological information of each position coordinate within the target period and the previously predicted meteorological information of each position coordinate within the target period. When the difference ratio exceeds the first preset value, it is determined that the speed limit setting update condition is met;

[0101] Calculate the difference ratio between the re-obtained traffic flow prediction value of each unit period within the target period for each highway section of the target highway and the previously obtained traffic flow prediction value of each unit period within the target period for each highway section of the target highway. When the difference ratio exceeds the second preset value, it is determined that the speed limit setting update condition is met.

[0102] In this embodiment, by monitoring the real-time status of the actual meteorological information and the actual traffic flow to update the speed limit setting strategy, the scenario adaptability and control accuracy of highway traffic safety management can be improved.

[0103] Refer to Figure 2 ,Figure 2 The figure is a schematic structural diagram of a distributed meteorological data transmission and processing system for regional meteorological alarm according to an embodiment of the present invention. The distributed meteorological data transmission and processing system for regional meteorological alarm includes:

[0104] An acquisition module 10, configured to acquire distributed meteorological data of a target area, and extract meteorological element information collected and uploaded by a plurality of meteorological monitoring stations included in the distributed meteorological data;

[0105] A prediction module 20, configured to construct a meteorological alarm analysis reference feature set of each meteorological monitoring station by using the position information of each meteorological monitoring station and the collected meteorological element information, and predict the meteorological information of each position coordinate in the target area at the target time period based on the meteorological alarm analysis reference feature set and a historical meteorological database;

[0106] A determination module 30, configured to generate a plurality of pieces of regional meteorological alarm information including a regional alarm time period, a regional alarm range, and a regional alarm level according to the path information of a target highway and the meteorological information of each position coordinate in the target area at each unit cycle within the target time period, and determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period;

[0107] A generation module 40, configured to access a highway traffic flow prediction database of the target area, and generate a speed limit setting strategy for each highway section of the target highway at the target time period in consideration of the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period;

[0108] An execution module 50, configured to send the speed limit setting strategy to a highway section speed limit controller, and drive the highway section speed limit controller to control a speed limit display device set for each highway section to perform a speed limit display action corresponding to the highway section;

[0109] An update module 60, configured to determine whether the target highway meets a speed limit setting update condition at the end of each unit cycle of the target time period. If so, return to regenerate the speed limit setting strategy for each highway section of the target highway at the target time period.

[0110] Other embodiments or specific implementation manners of the distributed meteorological data transmission and processing system for regional meteorological alarm of the present invention may refer to the above method embodiments, and will not be described herein again.

[0111] It should be understood that in the description of this specification, the descriptions referring to terms such as "one embodiment", "another embodiment", "other embodiments", or "the first embodiment to the Nth embodiment" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0112] It should be noted that in this article, the term "comprising", "including", or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or system including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article, or system. Without further limitation, an element defined by the statement "including an..." does not exclude the existence of additional identical elements in the process, method, article, or system including that element.

[0113] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A distributed meteorological data transmission and processing method for regional meteorological alarm, characterized in that, It includes the following steps: Obtain the distributed meteorological data of the target area, and extract the meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data; Construct the meteorological alarm analysis reference feature set of each meteorological monitoring station with the location information of each meteorological monitoring station and the collected meteorological element information, and predict the meteorological information of each position coordinate in the target area at the target time period based on the meteorological alarm analysis reference feature set and the historical meteorological database; Generate several regional meteorological alarm messages according to the path information of the target expressway and the meteorological information of each position coordinate in the target area in each unit period at the target time period; wherein, each regional meteorological alarm message includes a regional alarm time period, a regional alarm range, and a regional alarm level; use the regional alarm level to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period; Among them, the step of using the regional alarm level to determine the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period specifically includes: extract the traffic flow values, driving speeds, and regional alarm levels corresponding to several expressway accidents recorded in the historical expressway accident database; first classify the several expressway accidents according to the regional alarm level, and respectively count the first relationship comparison table of different traffic flow values and the number of expressway accident occurrences and the second relationship comparison table of different driving speeds and the number of expressway accident occurrences under each category; in the first relationship comparison table, accumulate the number of expressway accident occurrences in ascending order of traffic flow values until the number of expressway accident occurrences reaches the target ratio, and use the corresponding traffic flow value at this time as the maximum traffic flow value within the corresponding regional alarm range with the same regional alarm level during the corresponding regional alarm time period; in the second relationship comparison table, accumulate the number of expressway accident occurrences in ascending order of driving speeds until the number of expressway accident occurrences reaches the target ratio, and use the corresponding driving speed at this time as the highest driving speed within the corresponding regional alarm range with the same regional alarm level during the corresponding regional alarm time period; Access the expressway traffic flow prediction database of the target area, and generate the speed limit setting strategy of each expressway section of the target expressway during the target time period considering the maximum traffic flow value and the highest driving speed within the corresponding regional alarm range during the corresponding regional alarm time period; Send the speed limit setting strategy to the expressway section speed limit controller, and drive the expressway section speed limit controller to control the speed limit display devices set for each expressway section to perform the speed limit display action corresponding to the expressway section; At the end of each unit period of the target time period, determine whether the target expressway meets the speed limit setting update condition. If so, return to regenerate the speed limit setting strategy of each expressway section of the target expressway during the target time period.

2. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 1, characterized in that, The step of obtaining the distributed meteorological data of the target area and extracting the meteorological element information collected and uploaded by several meteorological monitoring stations included in the distributed meteorological data specifically includes: Utilize a distributed meteorological database to receive in real time the meteorological element information collected and uploaded by several meteorological monitoring stations within the target area; wherein, the meteorological element information includes the meteorological element characteristics and meteorological element time collected by each meteorological monitoring station. Extract the meteorological element time in each meteorological element information, and extract all the meteorological element information whose meteorological element time falls within the predicted correlation period of the target period, and construct it into the distributed meteorological data of the target area.

3. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 2, characterized in that, Construct the position information of each meteorological monitoring station and the collected meteorological element information into the meteorological alarm analysis reference feature set of this meteorological monitoring station. Based on the meteorological alarm analysis reference feature set and the historical meteorological database, the steps of predicting the meteorological information of each position coordinate in the target area at the target period specifically include: Obtain the position information of each meteorological monitoring station, write this position information as the meteorological element position into the meteorological element information collected and uploaded by the corresponding meteorological monitoring station, and construct a meteorological alarm analysis reference feature set composed of several meteorological element characteristics with different meteorological element positions and different meteorological element times. Call the historical meteorological database, and utilize several meteorological element characteristics with different meteorological element positions and different meteorological element times recorded in the historical meteorological database and the meteorological alarm analysis reference feature set to predict the meteorological information of each position coordinate in the target area at the target period.

4. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 3, characterized in that Call the historical meteorological database, and utilize several meteorological element characteristics with different meteorological element positions and different meteorological element times recorded in the historical meteorological database and the meteorological alarm analysis reference feature set to predict the meteorological information of each position coordinate in the target area at the target period. The steps specifically include: Extract the meteorological information corresponding to each position coordinate in several meteorological events recorded in the historical meteorological database and the meteorological alarm analysis historical feature set of several reference position coordinates within the preset distance range of this position coordinate during the predicted correlation period of the target period, and input it into the pre-constructed initial convolutional neural network for training to obtain a trained meteorological alarm analysis prediction model. Use the meteorological alarm analysis reference features of several reference position coordinates within the preset distance range of each position coordinate in the meteorological alarm analysis reference feature set as the prediction samples of this position coordinate, and input them into the meteorological alarm analysis prediction model to obtain the meteorological information of each position coordinate in the target area at the target period output by the meteorological alarm analysis prediction model.

5. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 1, wherein The steps of generating several regional meteorological alarm messages according to the path information of the target expressway and the meteorological information of each position coordinate in the target area at each unit period during the target period specifically include: Obtain the path information of the target expressway, extract several path trajectory points, and perform meteorological information matching on the path trajectory points according to the position coordinates of each path trajectory point and the meteorological information of each position coordinate in the target area at the target period to obtain the meteorological information of each path trajectory point at the target period. Generate several regional meteorological alarm messages including regional alarm periods, regional alarm ranges, and regional alarm levels based on the predefined regional meteorological alarm rules.

6. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 1, wherein Access the highway traffic flow prediction database of the target area, consider the maximum traffic flow value and the highest driving speed within the alarm period of each area for the corresponding area alarm range, and generate the restricted speed setting strategy steps for each highway section of the target highway within the target period, specifically including: Access the pre-generated highway traffic flow prediction database of the target area, and extract the traffic flow prediction values of each highway section of the target highway within each unit cycle within the target period recorded in the highway traffic flow prediction database; Based on the traffic flow prediction values of each highway section of the target highway within each unit cycle within the target period, consider the maximum traffic flow value and the highest driving speed within the alarm period of each area for the corresponding area alarm range, use the maximum traffic flow value and the highest driving speed as constraint conditions, and use the maximum traffic efficiency of the target highway as the optimization objective to optimize and solve the restricted speed setting strategy for each highway section of the target highway within the target period.

7. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 6, characterized in that, Based on the traffic flow prediction values of each highway section of the target highway within each unit cycle within the target period, consider the maximum traffic flow value and the highest driving speed within the alarm period of each area for the corresponding area alarm range, use the maximum traffic flow value and the highest driving speed as constraint conditions, and use the maximum traffic efficiency of the target highway as the optimization objective to optimize and solve the restricted speed setting strategy steps for each highway section of the target highway within the target period, specifically including: Based on the traffic flow prediction values of each highway section of the target highway within each unit cycle within the target period, consider the maximum traffic flow value and the highest driving speed within the alarm period of each area for the corresponding area alarm range; Take the restricted speed set for each unit cycle within the target period of each highway section being less than the highest driving speed corresponding to the area alarm range and area alarm period of the highway section as the first constraint condition, and take the traffic flow regulation value of each highway section within each unit cycle within the target period determined according to the traffic flow prediction value of each highway section within each unit cycle within the target period and the restricted speed set for each highway section being less than the maximum traffic flow value within the alarm period of the corresponding area of the highway section and the unit cycle as the second constraint condition, and take the maximum cumulative value of the sum of the restricted speeds set for each highway section of the entire target highway within each unit cycle within the target period as the optimization objective; Optimize and solve the restricted speed setting strategy for each highway section of the target highway within each unit cycle within the target period.

8. The distributed meteorological data transmission and processing method for regional meteorological alarm according to claim 1, characterized in that At the end of each unit cycle within the target period, determine whether the target highway meets the restricted speed setting update condition. If so, return to the steps of regenerating the restricted speed setting strategy for each highway section of the target highway within the target period, specifically including: At the end of each unit cycle of the target time period, re-predict the meteorological information of each position coordinate in the target area during the target time period, and re-obtain the predicted traffic flow values of each highway section of the updated target highway for each unit cycle during the target time period; According to the re-predicted meteorological information and the re-obtained predicted traffic flow values, determine whether the target highway meets the restricted speed setting update condition. If so, return the restricted speed setting strategy for each highway section of the target highway during the target time period; Among them, the restricted speed setting update condition specifically includes at least one of the following situations: Calculate the difference ratio between the meteorological information of each position coordinate re-predicted during the target time period and the meteorological information of each position coordinate predicted previously during the target time period. When the difference ratio exceeds the first preset value, it is determined that the restricted speed setting update condition is met; Calculate the difference ratio between the predicted traffic flow values of each highway section of the target highway for each unit cycle during the target time period re-obtained and the predicted traffic flow values of each highway section of the target highway for each unit cycle during the target time period obtained previously. When the difference ratio exceeds the second preset value, it is determined that the restricted speed setting update condition is met.

Images