Distributed meteorological data transmission and processing method for regional meteorological alarm

Abstract

The 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, which comprises the following steps: acquiring distributed meteorological data of a target region, constructing a meteorological alarm analysis reference feature set, and predicting meteorological information of each position coordinate in the target region in a target time period; according to the path information of the target highway and the predicted meteorological information, regional meteorological alarm information is generated, then a highway traffic flow prediction database is utilized, the maximum traffic flow value and the maximum driving speed of the regional alarm range in the corresponding regional alarm time period are considered, and a speed limiting setting strategy is generated; dynamic speed limiting setting of different unit periods is executed in different sections of the target expressway, and the traffic flow and the vehicle running speed in different sections of the expressway are regulated and controlled by utilizing reasonable setting of the speed limiting, so that the running safety and the passing efficiency of the running vehicle in the corresponding meteorological environment of the expressway are improved.

Description

Technical Field

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

[0002] Weather warnings allow traffic management departments to obtain information about severe weather conditions in advance, such as heavy rain, snow, fog, and strong winds, so that they can formulate traffic safety control plans in advance according to the impact of different weather conditions on traffic. In particular, traffic safety control in highway scenarios can reduce the occurrence of highway traffic accidents and improve traffic safety.

[0003] At present, 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 does not provide high precision control over highway traffic: on the one hand, it cannot play the due control role when the meteorological conditions are on the edge of the critical value; on the other hand, when the meteorological conditions are lower than the critical value, it does not mean that the highway is in a safe environment. The existing simple closure management cannot control and regulate highway traffic safety in weak danger scenarios, which reduces the control efficiency and implementation effect. At the same time, the two main factors affecting highway safety are traffic volume and driving speed. Both are positively correlated with highway driving safety (i.e., the greater the traffic volume, the lower the highway safety, and the faster the driving speed, the lower the highway safety), but there is a negative correlation between the two (i.e., the greater the traffic volume, the slower the driving speed), and the regulation of the two factors will directly affect the traffic efficiency of the highway. When conducting highway traffic safety control, adjusting the traffic volume and driving speed according to meteorological information is a feasible control solution, but the existing technology only considers adjusting the traffic volume and controlling the driving speed of the section to improve the driving safety of the highway, and does not consider the implementation solution of adjusting the traffic volume and controlling the driving speed of the section at the same time. When it is necessary to consider meteorological information and the overall traffic efficiency of the highway, the difficulty of generating highway safety control strategies is further increased.

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

[0005] The present invention provides a distributed meteorological data transmission and processing method for regional meteorological warning, 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, comprising the following steps:

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

[0008] The location information of each meteorological monitoring station and the collected meteorological element information are constructed into a meteorological alarm analysis reference feature set of the meteorological monitoring station, and based on the meteorological alarm analysis reference feature set and the historical meteorological database, the meteorological information of each location coordinate in the target area during the target period is predicted;

[0009] According to the path information of the target expressway and the meteorological information of each unit period of each location coordinate in the target area during the target period, a number of regional meteorological alarm information including regional alarm period, regional alarm range and regional alarm level are generated, and the maximum traffic flow value and the maximum driving speed of each regional alarm range during the corresponding regional alarm period are determined;

[0010] Access the highway traffic flow prediction database of the target area, consider the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and generate a speed limit setting strategy for each highway section of the target highway within the target period;

[0011] Sending the speed limit setting strategy to the expressway section speed limit controller, driving the expressway section speed limit controller to control the speed limit display device set in each expressway section to perform the speed limit display action of the corresponding expressway section;

[0012] At the end of each unit period of the target time period, it is determined whether the target highway meets the speed limit setting update condition. If so, the speed limit setting strategy for each highway section of the target highway within the target time period is returned and regenerated.

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

[0014] Using a distributed meteorological database to receive in real time meteorological element information collected and uploaded by a number of meteorological monitoring stations in a target area; wherein the meteorological element information includes the characteristics of meteorological elements and the time of meteorological elements collected by each meteorological monitoring station;

[0015] The meteorological element time in each meteorological element information is extracted, and all meteorological element information whose meteorological element time falls within the forecast associated time period of the target time period is extracted to construct the distributed meteorological data of the target area.

[0016] Optionally, the location information of each meteorological monitoring station and the collected meteorological element information are constructed into a meteorological alarm analysis reference feature set of the meteorological monitoring station, and based on the meteorological alarm analysis reference feature set and the historical meteorological database, the step of predicting the meteorological information of each location coordinate in the target area during the target period specifically includes:

[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 consisting of several meteorological element features with different meteorological element locations and different meteorological element times;

[0018] The historical meteorological database is called, and the meteorological information of each position coordinate in the target area in the target time period is predicted by using several meteorological element features with different meteorological element locations and different meteorological element times recorded in the historical meteorological database and the meteorological alarm analysis reference feature set.

[0019] Optionally, calling a historical meteorological database, using a plurality of meteorological element features with different meteorological element locations and different meteorological element times recorded in the historical meteorological database and a meteorological alarm analysis reference feature set, and predicting the meteorological information of each position coordinate in the target area in the target period, specifically includes:

[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 several reference location coordinates within the preset distance range of the location coordinate in the forecast associated period of the target period, input them into the pre-constructed initial convolutional neural network for training, and obtain the trained meteorological alarm analysis and prediction model;

[0021] The meteorological alarm analysis reference features of several reference location coordinates within a preset distance range of each location coordinate in the meteorological alarm analysis reference feature set are input into the meteorological alarm analysis prediction model as prediction samples of the location coordinate to obtain the meteorological information of each location coordinate in the target area during the target time 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 position coordinate in each unit period in the target area, a plurality of regional meteorological alarm information including the regional alarm period, the regional alarm range and the regional alarm level are generated, and the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period are determined, specifically including:

[0023] 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 within the target time period, a plurality of regional meteorological alarm information are generated; wherein each regional meteorological alarm information includes a regional alarm time period, a regional alarm range and a regional alarm level;

[0024] The regional alarm level is used to determine the maximum vehicle flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period.

[0025] Optionally, the step of generating a plurality of regional weather alarm information according to the path information of the target expressway and the weather information of each position coordinate in each unit period in the target time period includes:

[0026] Obtain the path information of the target highway, extract a number of path trajectory points, 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 period, and obtain the meteorological information of each path trajectory point during the target period;

[0027] Based on the predefined regional weather alarm rules, a number of regional weather alarm information including regional alarm period, regional alarm range and regional alarm level are generated.

[0028] Optionally, the step of determining the maximum vehicle flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period by using the regional alarm level specifically includes:

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

[0030] Firstly, several highway accidents are classified according to the regional alarm level, and a first relationship comparison table between different traffic flow values ​​and the number of highway accidents and a second relationship comparison table between different driving speeds and the number of highway accidents are respectively counted under each category;

[0031] In the first relationship comparison table, the number of highway accidents is accumulated in order from small to large traffic flow values ​​until the number of highway accidents reaches the target ratio, and the corresponding traffic flow value at this time is used as the maximum traffic flow value of each regional alarm range with the same regional alarm level within the corresponding regional alarm period;

[0032] In the second relationship comparison table, the number of highway accidents is accumulated in order of driving speed from small to large until the number of highway accidents reaches the target ratio, and the corresponding driving speed at this time is used as the maximum driving speed of each regional alarm range with the same regional alarm level within the corresponding regional alarm period.

[0033] Optionally, a highway traffic flow prediction database of the target area is accessed, and the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period are considered to generate a speed limit setting strategy step for each highway section of the target highway within the target period, specifically including:

[0034] Accessing a pre-generated highway traffic flow prediction database for a target area, and extracting a traffic flow prediction value for each highway section of a target highway in each unit period within a target time period recorded in the highway traffic flow prediction database;

[0035] Based on the predicted traffic flow value of each unit cycle in each highway section of the target highway within the target time period, the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm time period are considered. With the maximum traffic flow value and the maximum driving speed as constraints and the maximum traffic efficiency of the target highway as the optimization goal, the speed limit setting strategy for each highway section of the target highway within the target time period is optimized.

[0036] Optionally, based on the predicted traffic volume of each unit cycle of each highway section of the target highway in the target time period, the maximum traffic volume value and the maximum driving speed of each regional alarm range in the corresponding regional alarm time period are considered, the maximum traffic volume value and the maximum driving speed are used as constraints, and the maximum traffic efficiency of the target highway is used as the optimization target. The speed limit setting strategy steps for each highway section of the target highway in the target time period are optimized, specifically including:

[0037] Based on the predicted traffic volume of each unit cycle of each highway section of the target highway within the target period, the maximum traffic volume value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period are considered;

[0038] The first constraint condition is that the speed limit set for each unit period of each expressway section within the target time period is less than the maximum driving speed corresponding to the regional alarm range and the regional alarm period to which the expressway section belongs; the second constraint condition is that the traffic flow control value for each unit period of each expressway section within the target time period determined based on the traffic flow prediction value for each unit period of each expressway section within the target time period and the speed limit set for each expressway section is less than the maximum traffic flow value within the regional alarm range to which the expressway section belongs and the corresponding regional alarm period to which the unit period belongs; the optimization target is to maximize the cumulative value of the sum of the speed limits set for each unit period of each expressway section in the entire target expressway;

[0039] The speed limit setting strategy for each unit cycle of each highway section of the target highway within the target time period is optimized and solved.

[0040] Optionally, at the end of each unit period of the target time period, it is determined whether the target highway meets the speed limit setting update condition, and if so, the speed limit setting strategy step of each highway section of the target highway within the target time period is returned to be regenerated, specifically including:

[0041] At the end of each unit period of the target period, the meteorological information of each location coordinate in the target area during the target period is re-predicted, and the updated traffic flow forecast value of each expressway section of the target expressway during each unit period during the target period is re-obtained;

[0042] According to the re-forecasted weather information and the re-acquired traffic volume forecast value, it is determined whether the target expressway meets the speed limit setting update condition, and if so, the speed limit setting strategy for each expressway section of the target expressway within the target time period is returned and regenerated;

[0043] The speed limit setting update condition specifically includes at least one of the following situations:

[0044] Calculating the difference ratio between the meteorological information of each position coordinate in the target time period that is re-predicted and the meteorological information of each position coordinate in the target time period that is previously predicted, and determining that the speed limit setting update condition is met when the difference ratio exceeds a first preset value;

[0045] A difference ratio is calculated between the re-acquired traffic flow prediction value for each unit period of each highway section of the target highway within the target time period and the previously acquired traffic flow prediction value for each unit period of each highway section of the target highway within the target time period, and when the difference ratio exceeds a second preset value, it is determined that the speed limit setting update condition is met.

[0046] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a distributed meteorological data transmission and processing system for regional meteorological alarm, comprising:

[0047] An acquisition module is used to acquire distributed meteorological data of a target area and extract meteorological element information collected and uploaded by several meteorological monitoring stations contained in the distributed meteorological data;

[0048] A prediction module is used to construct the location 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 predict 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;

[0049] A determination module is used to generate a number of regional meteorological alarm information including regional alarm periods, regional alarm ranges and regional alarm levels 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 within the target period, and determine the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period;

[0050] A generation module is used to access the highway traffic flow prediction database of the target area, consider the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and generate a speed limit setting strategy for each highway section of the target highway within the target period;

[0051] An execution module, used for sending the speed limit setting strategy to the expressway section speed limit controller, driving the expressway section speed limit controller to control the speed limit display device set in each expressway section to execute the speed limit display action of the corresponding expressway section;

[0052] The updating module is used to determine whether the target highway meets the speed limit setting update condition at the end of each unit cycle of the target time period, and 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 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 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 of each regional alarm range in the corresponding regional alarm period, generating a speed limit setting strategy for each highway section of the target highway during the target period, and performing dynamic speed limit settings of different unit cycles in different sections of the target highway, and using reasonable settings of speed limits to regulate the traffic flow and vehicle driving speed of different sections of the highway, thereby improving the driving safety and traffic efficiency of driving vehicles in the corresponding meteorological environment of the highway. At the same time, by monitoring the real-time status of actual meteorological information and actual traffic flow to update the speed limit setting strategy, the scene adaptability and control accuracy of highway traffic safety management can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0055] Figure 2The present invention is a schematic diagram of the structure of a distributed meteorological data transmission and processing system for regional meteorological warning. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended to limit the present invention.

[0057] The embodiment of the present invention provides a distributed meteorological data transmission and processing method for regional meteorological alarm, referring to Figure 1 , Figure 1 The present invention is a flow chart of a distributed meteorological data transmission and processing method for regional meteorological alarm according to an embodiment of the present invention. The distributed meteorological data transmission and processing method for regional meteorological alarm includes the following steps:

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

[0059] S200: constructing the location 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 location coordinate in the target area in the target period based on the meteorological alarm analysis reference feature set and the historical meteorological database;

[0060] S300: generating a plurality of regional meteorological alarm information including regional alarm periods, regional alarm ranges and regional alarm levels according to the path information of the target expressway and the meteorological information of each position coordinate in each unit period in the target period, and determining the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period;

[0061] S400: Accessing a highway traffic flow prediction database of a target area, considering the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and generating a speed limit setting strategy for each highway section of the target highway within the target period;

[0062] S500: sending the speed limit setting strategy to the expressway section speed limit controller, driving the expressway section speed limit controller to control the speed limit display device set in each expressway section to perform the speed limit display action of the corresponding expressway section;

[0063] S600: At the end of each unit period of the target time period, determine whether the target highway meets the speed limit setting update condition, and 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 traffic safety control on highways usually adopts a simple road section closure method, that is, traffic control is carried out on the highway when the weather conditions meet certain requirements. This method does not provide high precision control over highway traffic: on the one hand, it cannot play the due control role when the weather conditions are on the edge of the critical value; on the other hand, when the weather conditions are lower than the critical value, it does not mean that the highway is in a safe environment. The existing simple closure management cannot control and regulate highway traffic safety in weak danger scenarios, which reduces the control efficiency and implementation effect. At the same time, the two main factors affecting highway safety are traffic volume and driving speed. Both are positively correlated with highway driving safety (i.e., the greater the traffic volume, the lower the highway safety, and the faster the driving speed, the lower the highway safety), but there is a negative correlation between the two (i.e., the greater the traffic volume, the slower the driving speed), and the regulation of the two factors will directly affect the traffic efficiency of the highway. When conducting highway traffic safety control, adjusting the traffic volume and driving speed according to meteorological information is a feasible control solution, but the existing technology only considers adjusting the traffic volume and controlling the driving speed of the section to improve the driving safety of the highway, and does not consider the implementation solution of adjusting the traffic volume and controlling the driving speed of the section at the same time. When it is necessary to consider meteorological information and the overall traffic efficiency of the highway, the difficulty of generating highway safety control strategies is further increased.

[0065] In order to solve the above problems, this embodiment obtains distributed meteorological data of the target area, constructs a meteorological alarm analysis reference feature set and predicts the meteorological information of each position coordinate in the target area during the target period, generates regional meteorological alarm information according to the path information of the target highway and the predicted meteorological information, and then uses the highway traffic flow prediction database to consider the maximum traffic flow value and the highest driving speed of each regional alarm range in the corresponding regional alarm period, and generates the speed limit setting strategy for each highway section of the target highway during the target period. By performing dynamic speed limit settings of different unit cycles in different sections of the target highway, the reasonable setting of the speed limit is used to regulate the traffic flow and vehicle driving speed of 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 scene adaptability and control accuracy of highway traffic safety management 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 contained in the distributed meteorological data specifically include:

[0067] S110: using a distributed meteorological database to receive in real time meteorological element information collected and uploaded by a plurality of 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: extracting the meteorological element time in each meteorological element information, extracting all meteorological element information within the forecast associated time period where the meteorological element time falls within the target time period, and constructing distributed meteorological data for the target area.

[0069] On this basis, the location information of each meteorological monitoring station and the collected meteorological element information are constructed into a meteorological alarm analysis reference feature set of the meteorological monitoring station. Based on the meteorological alarm analysis reference feature set and the historical meteorological database, the meteorological information steps of each location coordinate in the target area during the target period are predicted, specifically including:

[0070] S210: Acquire 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 consisting of several meteorological element features with different meteorological element locations and different meteorological element times;

[0071] S220: Calling a historical meteorological database, using the historical meteorological database and a plurality of meteorological element features with different meteorological element locations and different meteorological element times recorded in a meteorological alarm analysis reference feature set, to predict the meteorological information of each location coordinate in the target area during the target period.

[0072] Furthermore, calling a historical meteorological database, using the historical meteorological database and a plurality of meteorological element features with different meteorological element locations and different meteorological element times recorded in a meteorological alarm analysis reference feature set, and predicting the meteorological information of each position coordinate in the target area in the target period, specifically includes:

[0073] S221: extracting meteorological information corresponding to each location coordinate in several meteorological events recorded in the historical meteorological database and a meteorological alarm analysis historical feature set of several reference location coordinates within a preset distance range to which the location coordinate belongs in the forecast associated period of the target period, and inputting them into a pre-constructed initial convolutional neural network for training to obtain a trained meteorological alarm analysis and prediction model;

[0074] S222: The meteorological alarm analysis reference features of several reference location coordinates within a preset distance range to which each location coordinate belongs in the meteorological alarm analysis reference feature set are input as prediction samples of the location coordinate into the meteorological alarm analysis prediction model, and the meteorological information of each location coordinate in the target area output by the meteorological alarm analysis prediction model is obtained.

[0075] In this embodiment, by acquiring distributed meteorological data of the target area, the meteorological element information collected and uploaded by several meteorological monitoring stations contained in the distributed meteorological data is extracted, and by acquiring the location information of the meteorological monitoring stations, the location information is written into the meteorological element information, so as to construct a meteorological alarm analysis reference feature set composed of several meteorological element features with different meteorological element locations and different meteorological element times, and then use the pre-trained meteorological alarm analysis prediction model and the meteorological alarm analysis reference feature set to predict the meteorological information of each location coordinate in the target area during the target time period, so as to provide data support for the subsequent execution of the speed limit setting strategy for each highway section during the target time period.

[0076] In a preferred embodiment, 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 in the target period, a plurality of regional meteorological alarm information including the regional alarm period, the regional alarm range and the regional alarm level are generated, and the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period are determined, specifically including:

[0077] S310: generating a plurality of regional weather alarm information according to the path information of the target expressway and the weather information of each position coordinate in each unit period in the target period; wherein each piece of regional weather alarm information includes a regional alarm period, a regional alarm range and a regional alarm level;

[0078] S320: Determine the maximum vehicle flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period by using the regional alarm level.

[0079] Furthermore, 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 during the target time period, a plurality of regional meteorological alarm information steps are generated, specifically including:

[0080] S311: Acquire the path information of the target expressway, extract a number of path trajectory points, 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 period, and obtain the meteorological information of each path trajectory point during the target period;

[0081] S312: Based on the predefined regional weather alarm rules, a plurality of regional weather alarm information including regional alarm time periods, regional alarm ranges and regional alarm levels are generated.

[0082] Furthermore, the steps of determining the maximum vehicle flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period by using the regional alarm level specifically include:

[0083] S321: extracting 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, a number of highway accidents are classified according to the regional alarm level, and a first relationship comparison table between different traffic flow values ​​and the number of highway accidents and a second relationship comparison table between different driving speeds and the number of highway accidents are respectively counted under each category;

[0085] S323: accumulating the number of highway accidents in the first relationship comparison table in order of the traffic flow values ​​from small to large until the number of highway accidents reaches the target ratio, and using the corresponding traffic flow value at this time as the maximum traffic flow value of each regional alarm range with the same regional alarm level within the corresponding regional alarm period;

[0086] S324: In the second relationship comparison table, the number of highway accidents is accumulated in order of the driving speed from small to large until the number of highway accidents reaches the target ratio, and the corresponding driving speed at this time is used as the maximum driving speed of each regional alarm range with the same regional alarm level within the corresponding regional alarm period.

[0087] In this embodiment, by acquiring the path information of the target expressway and the meteorological information of each location coordinate in the target area in each unit period within the target time period, a number of regional meteorological alarm information including the regional alarm period, regional alarm range and regional alarm level are generated. In this way, the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period are determined through statistical data of historical expressway accidents.

[0088] In a preferred embodiment, the highway traffic flow prediction database of the target area is accessed, and the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period are considered, and the speed limit setting strategy steps for each highway section of the target highway within the target period are generated, specifically including:

[0089] S410: Accessing a pre-generated highway traffic flow prediction database of a target area, and extracting a traffic flow prediction value of each highway section of a target highway in each unit period within a target time period recorded in the highway traffic flow prediction database;

[0090] S420: Based on the predicted traffic flow value of each unit cycle in each highway section of the target highway within the target time period, considering the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm time period, taking the maximum traffic flow value and the maximum driving speed as constraints, and taking the maximum traffic efficiency of the target highway as the optimization goal, optimize and solve the speed limit setting strategy for each highway section of the target highway within the target time period.

[0091] Furthermore, based on the predicted traffic flow value of each unit cycle of each highway section of the target highway in the target period, the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period are considered, and the maximum traffic flow value and the maximum driving speed are used as constraints, and the maximum traffic efficiency of the target highway is used as the optimization goal. The speed limit setting strategy steps for each highway section of the target highway in the target period are optimized, including:

[0092] S421: Based on the predicted traffic volume value of each unit cycle of each highway section of the target highway in the target period, the maximum traffic volume value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period are considered;

[0093] S422: The first constraint condition is that the speed limit set for each expressway section in each unit period during the target time period is less than the maximum driving speed corresponding to the regional alarm range and the regional alarm period to which the expressway section belongs; the second constraint condition is that the traffic flow control value for each expressway section in each unit period during the target time period determined based on the traffic flow prediction value for each expressway section in each unit period during the target time period and the speed limit set for each expressway section is less than the maximum traffic flow value within the regional alarm range to which the expressway section belongs and the regional alarm period to which the unit period belongs; the optimization target is to maximize the cumulative value of the sum of the speed limits set for each unit period during the target time period for each expressway section in the entire target expressway;

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

[0095] In this embodiment, after generating regional meteorological alarm information, the highway traffic flow prediction database is used to consider the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and a speed limit setting strategy for each highway section of the target highway within the target period is generated. By executing dynamic speed limit settings of different unit cycles in different sections of the target highway, the traffic flow and vehicle driving speed in different sections of the highway are regulated by reasonable settings of speed limits, thereby improving the driving safety and traffic efficiency of vehicles in the corresponding meteorological environment of the highway.

[0096] In a preferred embodiment, at the end of each unit period of the target time period, it is determined whether the target highway meets the speed limit setting update condition. If so, the speed limit setting strategy step of each highway section of the target highway within the target time period is returned to be regenerated, specifically including:

[0097] S610: at the end of each unit period of the target period, re-predict the meteorological information of each location coordinate in the target area during the target period, and re-obtain the updated traffic flow forecast value of each expressway section of the target expressway during each unit period during the target period;

[0098] S620: judging whether the target expressway satisfies the speed limit setting update condition according to the re-predicted weather information and the re-acquired traffic flow prediction value, and if so, returning to regenerate the speed limit setting strategy for each expressway section of the target expressway within the target time period;

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

[0100] Calculating the difference ratio between the meteorological information of each position coordinate in the target time period that is re-predicted and the meteorological information of each position coordinate in the target time period that is previously predicted, and determining that the speed limit setting update condition is met when the difference ratio exceeds a first preset value;

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

[0102] In this embodiment, the speed limit setting strategy is updated by monitoring the real-time conditions of actual meteorological information and actual vehicle flow, which can improve the scenario adaptability and control accuracy of highway traffic safety management and control.

[0103] Reference Figure 2 , Figure 2 The structure diagram of the distributed meteorological data transmission and processing system for regional meteorological alarm according to an embodiment of the present invention is as follows:

[0104] The acquisition module 10 is used to acquire the distributed meteorological data of the target area and extract the meteorological element information collected and uploaded by several meteorological monitoring stations contained in the distributed meteorological data;

[0105] The prediction module 20 is used to construct the location 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 predict the meteorological information of each location coordinate in the target area in the target period based on the meteorological alarm analysis reference feature set and the historical meteorological database;

[0106] The determination module 30 is used to generate a plurality of regional meteorological alarm information including regional alarm periods, regional alarm ranges and regional alarm levels 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 in the target period, and determine the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period;

[0107] A generating module 40 is used to access the highway traffic flow prediction database of the target area, consider the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and generate a speed limit setting strategy for each highway section of the target highway within the target period;

[0108] An execution module 50 is used to send the speed limit setting strategy to the highway section speed limit controller, driving the highway section speed limit controller to control the speed limit display device set in each highway section to perform the speed limit display action of the corresponding highway section;

[0109] The updating module 60 is used 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, and if so, return to regenerate the speed limit setting strategy for each highway section of the target highway within the target time period.

[0110] Other embodiments or specific implementations of the distributed meteorological data transmission and processing system for regional meteorological alarm of the present invention can refer to the above-mentioned method embodiments and will not be described in detail here.

[0111] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0112] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0113] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also 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: The following steps are involved: Obtain distributed meteorological data of the target area, and extract meteorological element information collected and uploaded by several meteorological monitoring stations contained in the distributed meteorological data; The location information of each meteorological monitoring station and the collected meteorological element information are constructed into a meteorological alarm analysis reference feature set of the meteorological monitoring station, and based on the meteorological alarm analysis reference feature set and the historical meteorological database, the meteorological information of each location coordinate in the target area during the target period is predicted; According to the path information of the target expressway and the meteorological information of each unit period of each location coordinate in the target area during the target period, a number of regional meteorological alarm information including regional alarm period, regional alarm range and regional alarm level are generated, and the maximum traffic flow value and the maximum driving speed of each regional alarm range during the corresponding regional alarm period are determined; Access the highway traffic flow prediction database of the target area, consider the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and generate a speed limit setting strategy for each highway section of the target highway within the target period; Sending the speed limit setting strategy to the expressway section speed limit controller, driving the expressway section speed limit controller to control the speed limit display device set in each expressway section to perform the speed limit display action of the corresponding expressway section; At the end of each unit period of the target time period, it is determined whether the target highway meets the speed limit setting update condition. If so, the speed limit setting strategy for each highway section of the target highway within the target time period is returned and regenerated.

2. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 1, characterized in that: The steps of obtaining distributed meteorological data of the target area and extracting meteorological element information collected and uploaded by several meteorological monitoring stations contained in the distributed meteorological data include: Using a distributed meteorological database to receive in real time meteorological element information collected and uploaded by a number of meteorological monitoring stations in a target area; wherein the meteorological element information includes the characteristics of meteorological elements and the time of meteorological elements collected by each meteorological monitoring station; The meteorological element time in each meteorological element information is extracted, and all meteorological element information whose meteorological element time falls within the forecast associated time period of the target time period is extracted to construct the distributed meteorological data of the target area.

3. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 2, characterized in that: The location information of each meteorological monitoring station and the collected meteorological element information are constructed into a meteorological alarm analysis reference feature set of the meteorological monitoring station, and based on the meteorological alarm analysis reference feature set and the historical meteorological database, the meteorological information step of each location coordinate in the target area in the target period is predicted, specifically including: 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 consisting of several meteorological element features with different meteorological element locations and different meteorological element times; The historical meteorological database is called, and the meteorological information of each position coordinate in the target area in the target time period is predicted by using several meteorological element features with different meteorological element locations and different meteorological element times recorded in the historical meteorological database and the meteorological alarm analysis reference feature set.

4. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 3, characterized in that: The steps of calling a historical meteorological database, using a plurality of meteorological element features with different meteorological element locations and different meteorological element times recorded in the historical meteorological database and a meteorological alarm analysis reference feature set, and predicting the meteorological information of each position coordinate in the target area in the target period specifically include: 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 several reference location coordinates within the preset distance range of the location coordinate in the forecast associated period of the target period, input them into the pre-constructed initial convolutional neural network for training, and obtain the trained meteorological alarm analysis and prediction model; The meteorological alarm analysis reference features of several reference location coordinates within a preset distance range of each location coordinate in the meteorological alarm analysis reference feature set are input into the meteorological alarm analysis prediction model as prediction samples of the location coordinate to obtain the meteorological information of each location coordinate in the target area during the target time period output by the meteorological alarm analysis prediction model.

5. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 1, characterized in that: According to the path information of the target expressway and the meteorological information of each unit period of each location coordinate in the target area during the target period, several regional meteorological alarm information including regional alarm period, regional alarm range and regional alarm level are generated, and the maximum traffic flow value and the maximum driving speed step of each regional alarm range in the corresponding regional alarm period are determined, including: 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 within the target time period, a plurality of regional meteorological alarm information are generated; wherein each regional meteorological alarm information includes a regional alarm time period, a regional alarm range and a regional alarm level; The regional alarm level is used to determine the maximum vehicle flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period.

6. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 5, characterized in that: 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 within the target time period, a plurality of regional meteorological alarm information steps are generated, specifically including: Obtain the path information of the target highway, extract a number of path trajectory points, 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 period, and obtain the meteorological information of each path trajectory point during the target period; Based on the predefined regional weather alarm rules, a number of regional weather alarm information including regional alarm period, regional alarm range and regional alarm level are generated.

7. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 5, characterized in that: The steps of determining the maximum vehicle flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period by using the regional alarm level specifically include: Extract the traffic flow values, driving speeds and regional alarm levels corresponding to several highway accidents recorded in the historical highway accident database; Firstly, several highway accidents are classified according to the regional alarm level, and a first relationship comparison table between different traffic flow values ​​and the number of highway accidents and a second relationship comparison table between different driving speeds and the number of highway accidents are respectively counted under each category; In the first relationship comparison table, the number of highway accidents is accumulated in order from small to large traffic flow values ​​until the number of highway accidents reaches the target ratio, and the corresponding traffic flow value at this time is used as the maximum traffic flow value of each regional alarm range with the same regional alarm level within the corresponding regional alarm period; In the second relationship comparison table, the number of highway accidents is accumulated in order of driving speed from small to large until the number of highway accidents reaches the target ratio, and the corresponding driving speed at this time is used as the maximum driving speed of each regional alarm range with the same regional alarm level within the corresponding regional alarm period.

8. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 7, characterized in that: Access the highway traffic flow prediction database of the target area, consider the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period, and generate the speed limit setting strategy steps for each highway section of the target highway within the target period, specifically including: Accessing a pre-generated highway traffic flow prediction database for a target area, and extracting a traffic flow prediction value for each highway section of a target highway in each unit period within a target time period recorded in the highway traffic flow prediction database; Based on the predicted traffic flow value of each unit cycle in each highway section of the target highway within the target time period, the maximum traffic flow value and the maximum driving speed of each regional alarm range within the corresponding regional alarm time period are considered. With the maximum traffic flow value and the maximum driving speed as constraints and the maximum traffic efficiency of the target highway as the optimization goal, the speed limit setting strategy for each highway section of the target highway within the target time period is optimized.

9. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 8, characterized in that: Based on the predicted traffic flow value of each unit cycle of each highway section of the target highway in the target period, the maximum traffic flow value and the maximum driving speed of each regional alarm range in the corresponding regional alarm period are considered, and the maximum traffic flow value and the maximum driving speed are used as constraints. The maximum traffic efficiency of the target highway is taken as the optimization goal. The speed limit setting strategy steps for each highway section of the target highway in the target period are optimized, including: Based on the predicted traffic volume of each unit cycle of each highway section of the target highway within the target period, the maximum traffic volume value and the maximum driving speed of each regional alarm range within the corresponding regional alarm period are considered; The first constraint condition is that the speed limit set for each unit period of each expressway section within the target time period is less than the maximum driving speed corresponding to the regional alarm range and the regional alarm period to which the expressway section belongs; the second constraint condition is that the traffic flow control value for each unit period of each expressway section within the target time period determined based on the traffic flow prediction value for each unit period of each expressway section within the target time period and the speed limit set for each expressway section is less than the maximum traffic flow value within the regional alarm range to which the expressway section belongs and the corresponding regional alarm period to which the unit period belongs; the optimization target is to maximize the cumulative value of the sum of the speed limits set for each unit period of each expressway section in the entire target expressway; The speed limit setting strategy for each unit cycle of each highway section of the target highway within the target time period is optimized and solved.

10. The distributed meteorological data transmission and processing method for regional meteorological warning according to claim 1, characterized in that: At the end of each unit period of the target time period, it is determined whether the target highway meets the speed limit setting update condition. If so, the speed limit setting strategy step of each highway section of the target highway in the target time period is returned and regenerated, specifically including: At the end of each unit period of the target period, the meteorological information of each location coordinate in the target area during the target period is re-predicted, and the updated traffic flow forecast value of each expressway section of the target expressway during each unit period during the target period is re-obtained; According to the re-forecasted weather information and the re-acquired traffic volume forecast value, it is determined whether the target expressway meets the speed limit setting update condition, and if so, the speed limit setting strategy for each expressway section of the target expressway within the target time period is returned and regenerated; The speed limit setting update condition specifically includes at least one of the following situations: Calculating the difference ratio between the meteorological information of each position coordinate in the target time period that is re-predicted and the meteorological information of each position coordinate in the target time period that is previously predicted, and determining that the speed limit setting update condition is met when the difference ratio exceeds a first preset value; A difference ratio is calculated between the re-acquired traffic flow prediction value for each unit period of each highway section of the target highway within the target time period and the previously acquired traffic flow prediction value for each unit period of each highway section of the target highway within the target time period, and when the difference ratio exceeds a second preset value, it is determined that the speed limit setting update condition is met.

Images