Road monitoring intelligent design method and device, and storage medium

Abstract

The invention relates to the technical field of road monitoring, and discloses a road monitoring intelligent design method and device, and a storage medium, and the method comprises the steps: obtaining deployment information corresponding to each high-order deployment resource on a to-be-monitored road and the road information of a monitored road, and obtaining the deployment information of each high-order deployment resource on the to-be-monitored road according to the road information and all deployment information; determining all target high-level deployment resources; for each target high-level deployment resource, determining equipment information corresponding to the target high-level deployment resource according to the road information and the deployment information; and generating a monitoring design scheme of the road to be monitored according to the deployment information and the equipment information corresponding to all the target high-level deployment resources. According to the invention, a series of data analysis and processing operations are carried out according to the road information and the deployment information, a final monitoring scheme is intelligently generated without depending on manual decision, the monitoring requirements of the road to be monitored can be met to the maximum extent, effective and comprehensive monitoring data are provided for comprehensive road management, and the monitoring efficiency is improved. Therefore, the reliability of the road monitoring design is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of road monitoring, and in particular to an intelligent design method and device for road monitoring, and a storage medium. Background Art

[0002] Monitoring roads and obtaining effective and comprehensive monitoring data is an important prerequisite for achieving efficient and comprehensive management of roads. Designing a suitable monitoring design for the road to be monitored will help obtain better quality monitoring data, thereby achieving more efficient and comprehensive management of the road.

[0003] The existing road monitoring design mainly involves manually selecting the location where monitoring equipment needs to be set up on the road, then installing a monitoring gantry at the location where monitoring needs to be set up, and installing a video camera or speed radar on the monitoring gantry. Practice has shown that the monitoring system designed by the road monitoring design method in the prior art lacks the effectiveness and comprehensiveness of the monitoring data obtained, and is difficult to adapt to the current scene of large road traffic flow, fast driving speed, and complex management elements; therefore, the reliability of the road monitoring design method in the prior art still needs to be improved. Therefore, a road monitoring intelligent design method is proposed to provide effective and comprehensive monitoring data for comprehensive road management, thereby increasing the reliability of road monitoring design, which has become a problem that needs to be solved in the field of road monitoring. Summary of the invention

[0004] The present invention provides a method and device for intelligent design of road monitoring, and a storage medium. Based on the analysis of information on high-level deployed resources and road-related information, a road monitoring solution is intelligently designed to provide effective and comprehensive monitoring data for comprehensive road management, thereby increasing the reliability of road monitoring design.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a road monitoring intelligent design method, the method comprising:

[0006] Obtaining deployment information corresponding to each high-position deployment resource on the road to be monitored, wherein the high-position deployment resources include objects located in a preset first area on both sides of the road to be monitored and capable of installing monitoring equipment, the height of which exceeds a preset height threshold, and the deployment information is used to indicate the position and height of the corresponding high-position deployment resource;

[0007] Acquire road information corresponding to the road to be monitored, wherein the road information includes label information for representing each sub-road in the road to be monitored, wherein the label information is used to represent one or more of a function type, a geographical environment type, an accident probability, and an accident level of the corresponding sub-road;

[0008] Determine all target high-position deployment resources from all the high-position deployment resources according to the road information and all the deployment information, wherein the target high-position deployment resources represent target objects on which monitoring equipment needs to be installed;

[0009] For each of the target high-position deployment resources, determine the device information corresponding to the target high-position deployment resource according to the road information and the deployment information corresponding to the target high-position deployment resource, wherein the device information is used to indicate one or more of the device type, device quantity, device installation method, device installation height, and device pitch angle of the target monitoring device to be installed on the target high-position deployment resource;

[0010] A monitoring design plan corresponding to the road to be monitored is generated according to the deployment information and the equipment information corresponding to all the target high-level deployment resources.

[0011] The second aspect of the present invention discloses a road monitoring intelligent design device, the device comprising:

[0012] A first acquisition module is used to acquire deployment information corresponding to each high-position deployment resource on the road to be monitored, wherein the high-position deployment resources include objects that are located in a preset first area on both sides of the road to be monitored and have a height exceeding a preset height threshold and can be installed with monitoring equipment, and the deployment information is used to indicate the position and height of the corresponding high-position deployment resource;

[0013] A second acquisition module is used to acquire road information corresponding to the road to be monitored, wherein the road information includes label information for representing each sub-road in the road to be monitored, wherein the label information is used to represent one or more of the function type, geographical environment type, accident probability and accident level of the corresponding sub-road;

[0014] A resource screening module, used to determine all target high-position deployment resources from all the high-position deployment resources according to the road information and all the deployment information, wherein the target high-position deployment resources represent target objects for which monitoring equipment needs to be installed;

[0015] an equipment analysis module, for determining, for each of the target high-position deployment resources, equipment information corresponding to the target high-position deployment resource according to the road information and the deployment information corresponding to the target high-position deployment resource, wherein the equipment information is used to indicate one or more of equipment type, equipment quantity, equipment installation method, equipment installation height, and equipment pitch angle of the target monitoring equipment to be installed on the target high-position deployment resource;

[0016] A scheme generating module is used to generate a monitoring design scheme corresponding to the road to be monitored according to the deployment information and the equipment information corresponding to all the target high-level deployment resources.

[0017] As an optional implementation, in the second aspect of the present invention, the resource screening module determines a specific method of all target high-level deployment resources from all the high-level deployment resources according to the road information and all the deployment information, including:

[0018] Determine, according to the label information corresponding to each section of the sub-road in the road information, a monitoring requirement corresponding to each section of the sub-road, wherein the monitoring requirement is used to indicate an expected range of the corresponding sub-road that needs to be monitored and an expected accuracy of the monitoring data that needs to be obtained;

[0019] Input the deployment information corresponding to each of the high-level deployment resources into a pre-trained monitoring and analysis model, and obtain a monitoring capability parameter corresponding to each of the high-level deployment resources output by the monitoring and analysis model, wherein the monitoring capability parameter is used to measure the actual range that the corresponding high-level deployment resource can monitor and the actual accuracy of the monitoring data that can be obtained;

[0020] Determine all target high-level deployment resources from all the high-level deployment resources according to the monitoring requirements corresponding to all the sub-roads and the monitoring capability parameters corresponding to all the high-level deployment resources;

[0021] Among them, the monitoring and analysis model is obtained by training the initial monitoring and analysis model using multiple groups of training data sets, each group of training data sets includes standard deployment information and standard monitoring capability parameters corresponding to the standard deployment information, and the monitoring and analysis model is used to determine the monitoring capability parameters based on the deployment information.

[0022] As an optional implementation manner, in the second aspect of the present invention, the equipment analysis module determines, for each of the target high-level deployment resources, a specific manner of determining the equipment information corresponding to the target high-level deployment resource according to the road information and the deployment information corresponding to the target high-level deployment resource, including:

[0023] For each of the target high-level deployment resources, determine the matching sub-road corresponding to the target high-level deployment resource and the connecting sub-roads adjacent to the matching sub-road, wherein the target high-level deployment resource is located in the second area preset on both sides of the corresponding matching sub-road; and determine the reference target high-level deployment resource corresponding to the target high-level deployment resource, wherein the reference target high-level deployment resource includes the remaining target high-level deployment resources located in the reference area except the target high-level deployment resource, and the reference area includes the second area preset on both sides of the matching sub-road and the third area preset on both sides of the connecting sub-road;

[0024] For each of the target high-level deployment resources, determine the monitoring parameters corresponding to the target high-level deployment resource based on the monitoring requirements of the matching sub-roads corresponding to the target high-level deployment resource, the monitoring requirements of the connecting sub-roads, and the deployment information corresponding to all the reference target high-level deployment resources corresponding to the target high-level deployment resource, where the monitoring parameters are used to represent the expected range that the corresponding target high-level deployment resource needs to monitor and the expected accuracy of the monitoring data that needs to be obtained; determine the equipment information corresponding to the target high-level deployment resource based on the monitoring parameters.

[0025] As an optional implementation manner, in the second aspect of the present invention, the device analysis module determines, for each of the target high-level deployment resources, a specific manner of determining the device information corresponding to the target high-level deployment resource according to the monitoring parameters, including:

[0026] For each of the target high-position deployment resources, the monitoring section and monitoring data recognition accuracy corresponding to the target high-position deployment resource are determined according to the monitoring parameters; the target device type, target device quantity and target device installation method of the target monitoring device are determined according to the monitoring data recognition accuracy; based on the determined target device type, target device quantity and target device installation method, the target device installation height and target device pitch angle of the target monitoring device are determined according to the positional relationship between the target high-position deployment resource and the monitoring section; the device information corresponding to the target high-position deployment resource is determined according to the target device type, target device quantity, target device installation method, target device installation height and target device pitch angle.

[0027] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0028] A third acquisition module, used for acquiring geographical environment information of the road to be monitored, wherein the geographical environment information is used for representing the geographical features within the first area on both sides of the road to be monitored;

[0029] And, the device analysis module determines, for each of the target high-position deployment resources, a specific manner of determining a target device installation height and a target device pitch angle of the target monitoring device according to a positional relationship between the target high-position deployment resource and the monitoring section, including:

[0030] For each of the target high-position deployment resources, the target device installation height of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the geographical environment information, and the target device pitch angle of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the device installation height.

[0031] As an optional implementation, in the second aspect of the present invention, the target monitoring equipment installed on the target high-position deployment resource includes a video monitoring device and a millimeter-wave radar device, and the road information also includes surveying and mapping information of each section of the sub-road, wherein the surveying and mapping information is used to represent one or more of the length, slope, width, and road flatness of the corresponding sub-road;

[0032] And, the resource screening module determines the specific manner of the monitoring requirement corresponding to each section of the sub-road according to the label information corresponding to each section of the sub-road in the road information, including:

[0033] For each section of the sub-road, based on the label information and the surveying and mapping information corresponding to the sub-road, a monitoring road surface coordinate range and a monitoring road surface slope corresponding to the sub-road are generated; based on the label information corresponding to the sub-road, a video monitoring weight, an image monitoring weight, a position monitoring weight and a speed monitoring weight corresponding to the sub-road are generated; and based on the monitoring road surface coordinate range, the monitoring road surface slope, the video monitoring weight, the image monitoring weight, the position monitoring weight and the speed monitoring weight corresponding to the sub-road, a monitoring requirement corresponding to the sub-road is determined;

[0034] Among them, the video monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the video data, the image monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the image data, the position monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the position data of the monitored object, and the speed monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the speed data of the monitored object.

[0035] As an optional implementation, in the second aspect of the present invention, the road section information corresponding to the monitored road section includes the length information, width information and slope information of the road that the corresponding target high-level deployment resource needs to monitor; the monitoring data recognition accuracy includes video monitoring accuracy, image monitoring accuracy, location monitoring accuracy and speed monitoring accuracy;

[0036] And, the device analysis module determines, for each of the target high-position deployment resources, a specific manner of determining a target device installation height and a target device pitch angle of the target monitoring device according to a positional relationship between the target high-position deployment resource and the monitoring section, including:

[0037] For each of the target high-position deployment resources, determining a target device installation height and a target device pitch angle of the target monitoring device according to the target high-position deployment resource and the length information, the width information and the slope information of the road that the target high-position deployment resource needs to monitor;

[0038] And, the device analysis module determines, for each of the target high-level deployment resources, a target device type, a target device quantity, and a target device installation method of the target monitoring device according to the monitoring data recognition accuracy, including:

[0039] For each of the target high-position deployment resources, the type of video surveillance equipment, the number of video surveillance equipment and the installation method of the video surveillance equipment are determined according to the video surveillance accuracy and the image monitoring accuracy; the type of millimeter-wave radar equipment, the number of millimeter-wave radar equipment and the installation method of the millimeter-wave radar equipment are determined according to the position monitoring weight and the speed monitoring weight.

[0040] The third aspect of the present invention discloses another intelligent design device for road monitoring, the device comprising:

[0041] A memory storing executable program code;

[0042] a processor coupled to the memory;

[0043] The processor calls the executable program code stored in the memory to execute the road monitoring intelligent design method disclosed in the first aspect of the present invention.

[0044] The fourth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the road monitoring intelligent design method disclosed in the first aspect of the present invention.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The present invention obtains the deployment information corresponding to each high-level deployment resource on the road to be monitored, obtains the road information corresponding to the road to be monitored, and determines all target high-level deployment resources from all high-level deployment resources according to the road information and all deployment information; for each target high-level deployment resource, the device information corresponding to the target high-level deployment resource is determined according to the road information and the deployment information corresponding to the target high-level deployment resource; and the monitoring design scheme corresponding to the road to be monitored is generated according to the deployment information and device information corresponding to all target high-level deployment resources. The intelligent design method for road monitoring of the present invention does not rely on the gantry installed on the road in the prior art to install the monitoring equipment, but selects a high-level deployment resource with a certain height to install the monitoring equipment, so it has a broader monitoring field of view, can obtain a larger range of monitoring data, and thus adapt to higher requirements of monitoring scenes. Secondly, a series of data analysis and processing operations are performed according to the road information and deployment information, and the final monitoring scheme is generated intelligently without relying on manual decision-making, which can meet the monitoring needs of the road to be monitored to the maximum extent, and provide effective and comprehensive monitoring data for comprehensive road management, thereby increasing the reliability of road monitoring design. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 It is a flow chart of a road monitoring intelligent design method disclosed in an embodiment of the present invention;

[0049] Figure 2 It is a structural schematic diagram of a road monitoring intelligent design device disclosed in an embodiment of the present invention;

[0050] Figure 3 It is a structural schematic diagram of another road monitoring intelligent design device disclosed in an embodiment of the present invention;

[0051] Figure 4 It is a structural schematic diagram of another road monitoring intelligent design device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0054] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0055] The present invention discloses a road monitoring intelligent design method and device, and a storage medium, which intelligently designs a road monitoring solution based on the analysis of high-level deployment resource information and road-related information, and provides effective and comprehensive monitoring data for comprehensive road management, thereby increasing the reliability of road monitoring design. The following are detailed descriptions.

[0056] Embodiment 1

[0057] See also Figure 1 , Figure 1 : is a flow chart of a road monitoring intelligent design method disclosed in an embodiment of the present invention. Figure 1 The described road monitoring intelligent design method can be applied to a road monitoring intelligent design device, and the road monitoring intelligent design device can be integrated in a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the road monitoring intelligent design method may include the following operations:

[0058] 101. Obtain deployment information corresponding to each high-level deployment resource on the road to be monitored.

[0059] In an embodiment of the present invention, high-position deployment resources include objects located within a preset first area on both sides of the road to be monitored, whose height exceeds a preset height threshold and on which monitoring equipment can be installed. The deployment information is used to indicate the location and height of the corresponding high-position deployment resources.

[0060] In practice, there are a series of objects such as buildings or equipment on both sides of the road to be monitored where monitoring equipment can be installed. Different from the gantry installed above the road specifically for installing monitoring equipment in the prior art, the high-position deployment resources in this embodiment can be any object that can install monitoring equipment, as long as it is located in the first area preset on both sides of the road to be monitored and its own height exceeds the preset threshold. Common high-position deployment resources include base stations of iron towers, transmission towers of power grids, single-column billboards, buildings on both sides of the road, etc. The above-mentioned high-position deployment resources have a certain height and are supported by power and communication equipment, so monitoring equipment with a wider field of view can be installed at a low cost.

[0061] In the embodiment of the present invention, the deployment information may be in the form of a matrix, thereby recording the location coordinates and height of each high-level deployment resource.

[0062] 102. Obtain road information corresponding to the road to be monitored.

[0063] In an embodiment of the present invention, the road information includes label information for representing each sub-road in the road to be monitored, wherein the label information is used to represent one or more of the functional type, geographical environment type, accident probability and accident level of the corresponding sub-road.

[0064] In an embodiment of the present invention, the road to be monitored includes several sections of sub-roads, wherein the road to be monitored is divided into different sub-roads, which can be divided according to the length, the geographical environment of the road, or the functional type of the road. The road information is used to describe the above-mentioned division basis of the road to be monitored. For example, the road information includes label information for representing each section of the sub-road in the road to be monitored, wherein the label information is used to represent one or more of the functional type, geographical environment type, and accident probability level of the corresponding sub-road. Different sub-roads belong to different areas, such as accident-prone sections, toll station areas, tunnel areas, bridge areas, slope areas, ramp areas, etc.; for example, the label information of sub-road A is {ramp; uphill in mountainous area; accident probability: low risk; accident level: dangerous}, which means that sub-road section A is a ramp, located on a mountainous slope, the probability of an accident is low risk, and the level of an accident is dangerous.

[0065] 103. According to the road information and all the deployment information, all the target high-position deployment resources are determined from all the high-position deployment resources.

[0066] In an embodiment of the present invention, the target high-level deployment resource represents the target object on which the monitoring equipment needs to be installed. The road information includes label information for representing each sub-road section in the road to be monitored, and the deployment information is used to represent the location and height of the corresponding high-level deployment resource. The former provides at least one of the functional type, geographical environment type, accident probability, and accident level of each sub-road section, and the latter provides the location and height of all objects on which the monitoring equipment can be installed. Different sub-roads have different monitoring requirements. For example, if the probability of an accident is an ultra-high risk area, the entire road section needs to be monitored, and the license plate information, speed information, and video information that can clearly record potential accidents of vehicles traveling on the road need to be obtained. Therefore, based on the road information and deployment information, the target objects on which the monitoring equipment needs to be installed can be screened out as target high-level deployment resources.

[0067] In an optional embodiment, determining all target high-position deployment resources from all high-position deployment resources according to the road information and all deployment information may include:

[0068] Based on the deployment information, determine the maximum range and optimal range that each high-position deployment resource can monitor. The maximum range refers to the largest area of ​​the road to be monitored that the high-position deployment resource can theoretically monitor, and the optimal range refers to the area of ​​the road to be monitored that the monitoring equipment on the high-position monitoring resource can monitor when obtaining the best quality monitoring data.

[0069] Compare the optimal ranges of all high-position deployment resources with the road information, match all optimal ranges with the label information of all sub-roads, first screen out the optimal target high-position deployment resources from all high-position deployment resources, then compare the maximum ranges of the remaining high-position deployment resources that do not belong to the optimal target high-position deployment resources with the road information, match all the remaining maximum ranges with the label information of all sub-roads, and screen out the supplementary target high-position deployment resources that can supplement the monitoring of areas not covered by the optimal range. Target high-position deployment resources include optimal target high-position deployment resources and supplementary target high-position deployment resources.

[0070] In yet another optional embodiment, determining all target high-position deployment resources from all high-position deployment resources according to the road information and all deployment information may include:

[0071] According to the label information corresponding to each sub-road in the road information, the monitoring requirements corresponding to each sub-road are determined, where the monitoring requirements are used to indicate the expected range of the corresponding sub-road to be monitored and the expected accuracy of the monitoring data to be obtained;

[0072] Input the deployment information corresponding to each high-level deployment resource into the pre-trained monitoring and analysis model, and obtain the monitoring capability parameters corresponding to each high-level deployment resource output by the monitoring and analysis model. The monitoring capability parameters are used to measure the actual range that the corresponding high-level deployment resource can monitor and the actual accuracy of the monitoring data that can be obtained;

[0073] According to the monitoring requirements corresponding to all sub-roads and the monitoring capability parameters corresponding to all high-level deployment resources, all target high-level deployment resources are determined from all high-level deployment resources;

[0074] In this optional embodiment, specifically, the monitoring and analysis model is obtained by training an initial monitoring and analysis model using multiple sets of training data sets, each set of training data sets includes standard deployment information and standard monitoring capability parameters corresponding to the standard deployment information, and the monitoring and analysis model is used to determine the monitoring capability parameters based on the deployment information.

[0075] In this optional embodiment, the monitoring requirement is used to indicate the range of the corresponding sub-road that needs to be monitored and the accuracy of the monitoring data that needs to be obtained, and the monitoring capability parameter is used to measure the range that the corresponding high-level deployment resource can monitor and the accuracy of the monitoring data that can be obtained. The monitoring requirement and the monitoring capability can match each other, so that all target high-level deployment resources are determined from all high-level deployment resources. For example, multiple initial target high-level deployment resource sets can be randomly generated, requiring that the sum of the monitoring capabilities of the initial target high-level deployment resource sets is greater than the sum of all monitoring requirements of the roads to be monitored, and finally selecting the initial target high-level deployment resource set with the lowest cost of installing monitoring equipment or the least number of target high-level deployment resources from the multiple initial target high-level deployment resource sets, and determining all target high-level deployment resources from all high-level deployment resources based on the initial target high-level deployment resource set.

[0076] It can be seen that this optional embodiment can analyze the monitoring requirements of the roads to be monitored and the monitoring capabilities of the high-level deployment resources, and analyze from the perspective of the compatibility of capabilities and requirements, and ultimately determine all target high-level deployment resources from all high-level deployment resources more efficiently and accurately.

[0077] 104. For each target high-position deployment resource, determine the equipment information corresponding to the target high-position deployment resource according to the road information and the deployment information corresponding to the target high-position deployment resource.

[0078] In an embodiment of the present invention, the equipment information is used to indicate one or more of the equipment type, equipment quantity, equipment installation method, equipment installation height, and equipment pitch angle of the target monitoring equipment that needs to be installed for the target high-position deployment resource. Common monitoring equipment includes video monitoring equipment, image monitoring equipment, radar monitoring equipment, ETC monitoring equipment, etc. Different equipment types can meet different types of monitoring requirements. The number of equipment determines the scope of monitoring data obtained by the monitoring equipment, the equipment installation method determines the quality of monitoring data obtained by the monitoring equipment, and the equipment installation height and equipment pitch angle determine the scope and quality of monitoring data obtained by the monitoring equipment.

[0079] For the target high-position deployment resources that have been determined, their deployment resources represent the location and height of the target high-position deployment resources. Combined with the road information, it is possible to determine what kind of monitoring data the high-position deployment resources need to obtain, thereby determining the equipment information of the high-position deployment resources.

[0080] In an optional embodiment, for each target high-level deployment resource, determining the device information corresponding to the target high-level deployment resource according to the road information and the deployment information corresponding to the target high-level deployment resource may include:

[0081] For each target high-level deployment resource, the mapping relationship between the sub-road and the target high-level deployment resource is determined based on all road information and all target high-level deployment resources. The mapping relationship is the matching relationship between the sub-road and the target high-level deployment resource. For example, a sub-road may be monitored by multiple monitoring devices on target high-level deployment resources, or a monitoring device on a target high-level deployment resource may be responsible for monitoring multiple sub-roads at the same time. Based on the above mapping relationship, the data range, data type, data accuracy, etc. of the monitoring data that the high-level deployment resource needs to obtain are determined. Finally, based on the data range, data type, and data accuracy of the monitoring data, the appropriate equipment type, equipment quantity, equipment installation method, equipment installation height, and equipment pitch angle are determined, and the equipment information is obtained.

[0082] 105. Generate a monitoring design plan corresponding to the road to be monitored based on the deployment information and equipment information corresponding to all target high-level deployment resources.

[0083] In an embodiment of the present invention, the deployment information corresponding to the target high-position deployment resource indicates the location of the target high-position deployment resource, and the equipment information corresponding to the target high-position deployment resource indicates one or more of the equipment type, equipment quantity, equipment installation method, equipment installation height and equipment pitch angle of the monitoring equipment that needs to be installed for the target high-position deployment resource. By combining the above two types of information, a monitoring equipment plan for the road to be monitored can be generated.

[0084] It can be seen that the implementation of the intelligent design method for road monitoring in the embodiment of the present invention, first of all, does not rely on the gantry installed on the road in the prior art to install the monitoring equipment, but selects high-position deployment resources with a certain height to install the monitoring equipment, so it has a broader monitoring field of view and can obtain a wider range of monitoring data, thereby adapting to higher-demand monitoring scenarios. Secondly, a series of data analysis and processing operations are performed based on road information and deployment information, and the final monitoring plan is generated intelligently without relying on manual decision-making, which can meet the monitoring needs of the road to be monitored to the greatest extent, provide effective and comprehensive monitoring data for comprehensive road management, and thus increase the reliability of road monitoring design.

[0085] In an optional embodiment, for each target high-level deployment resource, determining the device information corresponding to the target high-level deployment resource according to the road information and the deployment information corresponding to the target high-level deployment resource may include:

[0086] For each target high-level deployment resource, determine the matching sub-road corresponding to the target high-level deployment resource and the connecting sub-roads adjacent to the matching sub-road, and determine the reference target high-level deployment resource corresponding to the target high-level deployment resource.

[0087] For each target high-level deployment resource, determine the monitoring parameters corresponding to the target high-level deployment resource based on the monitoring requirements of the matching sub-roads corresponding to the target high-level deployment resource, the monitoring requirements of the connecting sub-roads, and the deployment information corresponding to all reference target high-level deployment resources corresponding to the target high-level deployment resource, and determine the equipment information corresponding to the target high-level deployment resource based on the monitoring parameters.

[0088] In this optional embodiment, the target high-level deployment resource is located in the second area preset on both sides of the corresponding matching sub-road, the reference target high-level deployment resource includes the remaining target high-level deployment resources located in the reference area except the target high-level deployment resource, and the reference area includes the second area preset on both sides of the matching sub-road and the third area preset on both sides of the connecting sub-road. The monitoring parameter is used to indicate the expected range that the corresponding target high-level deployment resource needs to monitor and the expected accuracy of the monitoring data that needs to be obtained.

[0089] In this optional embodiment, the monitoring parameters are used to indicate the range that the corresponding target high-level deployment resources need to monitor and the accuracy of the monitoring data that needs to be obtained. In an actual monitoring scenario, the road to be monitored is not strictly divided into sections of sub-roads and monitored in sections, but all sub-roads are combined as a whole to achieve monitoring. For example, when a car passes through the entire road to be monitored, different requirements of monitoring need to be performed on it on different sub-roads, but at the same time, the data of each road needs to be combined to identify the state of the car in the process of passing through the entire road to be monitored, especially in the process of the road to be monitored leaving one sub-road to another, how to judge from the monitoring data that different monitoring data corresponds to the same car without obtaining a car license plate.

[0090] Therefore, this optional embodiment takes into account the mutual connection and influence between different sub-roads in the monitoring scheme design stage. Specifically, according to the monitoring requirements of the matching sub-roads corresponding to the target high-level deployment resource, the monitoring requirements of the connecting sub-roads, the deployment information corresponding to the target high-level deployment resource, and the deployment information corresponding to all reference target high-level deployment resources corresponding to the target high-level deployment resource, the monitoring parameters corresponding to the target high-level deployment resource are determined, as illustrated below:

[0091] The target high-level deployment resource A is located in the second preset area on both sides of sub-segment 6, then sub-segment 6 is the matching sub-road corresponding to the target high-level deployment resource A, and sub-segment 5 and sub-segment 7 adjacent to sub-segment 6 are connecting sub-roads. Among all the target high-level deployment resources in the preset areas on both sides of sub-roads 5, sub-roads 6 and sub-roads 7, the target high-level deployment resources other than the target high-level deployment resource A are: target high-level deployment resource S, target high-level deployment resource Q and target high-level deployment resource P, then the three target high-level deployment resources of target high-level deployment resource S, target high-level deployment resource Q and target high-level deployment resource P are reference target high-level deployment resources.

[0092] For the target high-level deployment resource A, according to the monitoring requirements of sub-roads 5, sub-roads 6 and sub-roads 7, and the deployment information of the target high-level deployment resources A, S, Q, P, appropriate monitoring parameters are set for the deployment information of the target high-level deployment resources A, S, Q, P respectively, so that the monitoring of the target high-level deployment resources A, S, Q, P can meet the monitoring requirements of sub-roads 5, sub-roads 6 and sub-roads 7.

[0093] It can be seen that this optional embodiment can take into account the mutual connections and influences between different sub-roads during the monitoring plan design stage, and analyze the monitoring needs of several adjacent sub-roads as a whole, so that the designed monitoring system can obtain more comprehensive and intrinsically related monitoring data, and can further analyze the monitoring data to obtain more road information.

[0094] In another optional embodiment, for each target high-level deployment resource, determining the device information corresponding to the target high-level deployment resource according to the monitoring parameters may include:

[0095] For each target high-position deployment resource, determine the monitoring section and monitoring data recognition accuracy corresponding to the target high-position deployment resource based on the monitoring parameters; determine the target device type, target device quantity and target device installation method of the target monitoring device based on the monitoring data recognition accuracy; based on the determined target device type, target device quantity and target device installation method, determine the target device installation height and target device pitch angle of the target monitoring device based on the positional relationship between the target high-position deployment resource and the monitoring section; determine the device information corresponding to the target high-position deployment resource based on the target device type, target device quantity, target device installation method, target device installation height and target device pitch angle.

[0096] In this optional embodiment, the target device installation height and the target device pitch angle determine the range that the target monitoring device can monitor. Generally speaking, the higher the installation height, the larger the range that can be monitored, and the pitch angle of the monitoring device installation is a fine-tuning of the monitored range. However, the higher the installation height, the better, because the higher the installation height, the farther the distance, the greater the distortion of the image, and the worse the clarity. Therefore, according to the positional relationship between the target high-position deployment resources and the monitoring section, the target device installation height and the target device pitch angle of the target monitoring device are determined. The preferred method is to find the lowest installation height of the target device so that the target monitoring device can monitor the covered monitoring section.

[0097] In this optional embodiment, the monitoring data recognition accuracy can be the data type (including images, videos, coordinates, speed, etc.), the data recognition error range, the data recognition requirements (for example, being able to recognize license plates, being able to distinguish shapes and colors, etc.). In order to achieve the corresponding data accuracy, it is necessary to adjust the target monitoring device type, target device quantity and target device installation method to ensure that the monitoring data acquired by the target monitoring device can meet the monitoring data recognition accuracy.

[0098] It can be seen that this optional embodiment can determine the target device type, target device quantity, target installation method, target device installation height and target device pitch angle of the target monitoring device based on two factors: the monitored road section and the monitoring data recognition accuracy. It can determine more reasonable and efficient equipment information for describing the installation method of the monitoring equipment, so that the designed monitoring system can obtain more reliable monitoring data.

[0099] In yet another optional embodiment, the method may further include:

[0100] Acquire geographical environment information of the road to be monitored, where the geographical environment information is used to represent the geographical features within the first area on both sides of the road to be monitored;

[0101] And, for each target high-position deployment resource, determining a target device installation height and a target device pitch angle of a target monitoring device according to a positional relationship between the target high-position deployment resource and the monitoring section, including:

[0102] For each target high-position deployment resource, the target device installation height of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the geographical environment information, and the target device pitch angle of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the device installation height.

[0103] In actual operation, the roads to be monitored may be located in areas with complex geographical environments, such as mountain roads, roads in hilly areas, roads in areas with dense buildings, etc. Therefore, when designing the installation height and pitch angle of the monitoring equipment on each target high-position monitoring resource, the geographical environment information of the area where the roads to be monitored are located must also be comprehensively considered.

[0104] Therefore, in this optional embodiment, it is necessary to obtain the geographical environment information of the road to be monitored, and optionally, the geographical environment information can be a three-dimensional topographic map. The method for determining the installation height of each monitoring device can be to find the lowest installation height so that the monitoring device can cover the monitored road section even under the influence of the geographical environment such as mountains. After determining the installation height, the pitch angle is further adjusted to obtain the best quality monitoring data.

[0105] It can be seen that this optional embodiment can determine the target device installation height of the target monitoring device according to the positional relationship between the target high-position deployment resource and the monitoring section and the geographical environment information, and then determine the target device pitch angle of the target monitoring device according to the positional relationship between the target high-position deployment resource and the monitoring section and the device installation height. Thus, the impact of the geographical environment on the field of view of the monitoring device is comprehensively considered, and a more reasonable installation height and pitch angle of the monitoring device are determined, so that the designed monitoring system can obtain more reliable monitoring data.

[0106] In yet another optional embodiment, the target monitoring equipment installed on the target high-position deployment resource includes a video monitoring device and a millimeter-wave radar device, and the road information also includes surveying and mapping information of each section of the sub-road, wherein the surveying and mapping information is used to represent one or more of the length, slope, width, and road flatness of the corresponding sub-road;

[0107] And, according to the label information corresponding to each sub-road in the road information, determining the monitoring requirements corresponding to each sub-road may include:

[0108] For each sub-road, based on the label information and surveying information corresponding to the sub-road, the monitoring road surface coordinate range and monitoring road surface slope corresponding to the sub-road are generated; based on the label information corresponding to the sub-road, the video monitoring weight, image monitoring weight, position monitoring weight and speed monitoring weight corresponding to the sub-road are generated; based on the monitoring road surface coordinate range, monitoring road surface slope, video monitoring weight, image monitoring weight, position monitoring weight and speed monitoring weight corresponding to the sub-road, the monitoring demand corresponding to the sub-road is determined;

[0109] In this optional embodiment, the video monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the video data, the image monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the image data, the position monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the position data of the monitored object, and the speed monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the speed data of the monitored object.

[0110] In this optional embodiment, the monitored road surface coordinate range, monitored road surface slope, video monitoring weight, image monitoring weight, position monitoring weight and speed monitoring weight are used to measure the monitoring requirements of the corresponding sub-roads. For example, for sub-road 5, the corresponding monitored road surface coordinate range is area 5A and area 5B, the video monitoring weight is 0.8, which means that video monitoring is required and the video monitoring can at least recognize the license plate number, the image monitoring weight is 0.9, which means that image capture is required and at least the driver's facial information can be recognized, the position monitoring weight is 0.7, which means that position monitoring is required and is at least accurate to the lane level, and the speed monitoring weight is 0.5, which means that speed measurement is required and the measured speed value is accurate to the tenth place.

[0111] It can be seen that this optional embodiment uses surveying and mapping information to represent the length, slope, and width of the corresponding sub-road, so as to determine the monitoring requirements of the sub-road in a more fine-grained manner. At the same time, this optional embodiment determines the monitoring requirements corresponding to the sub-road according to the monitoring road surface coordinates, slope road surface coordinates, video monitoring weights, image monitoring weights, position monitoring weights, and speed monitoring weights corresponding to the sub-road, which is a more comprehensive and reasonable description of the monitoring requirements of the sub-road, thereby providing more reliable and reasonable data support for the design of subsequent monitoring solutions, thereby further increasing the reliability of road monitoring design.

[0112] In another optional embodiment, the road section information corresponding to the monitored road section includes the length information, width information and slope information of the road that the corresponding target high-level deployment resource needs to monitor; the monitoring data recognition accuracy includes video monitoring accuracy, image monitoring accuracy, position monitoring accuracy and speed monitoring accuracy;

[0113] And, for each target high-position deployment resource, determining a target device installation height and a target device pitch angle of a target monitoring device according to a positional relationship between the target high-position deployment resource and the monitoring section may include:

[0114] For each target high-position deployment resource, the target device installation height and the target device pitch angle of the target monitoring device are determined according to the target high-position deployment resource and the length information, width information and slope information of the road that the target high-position deployment resource needs to monitor.

[0115] And, for each target high-level deployment resource, determine the target device type, target device quantity and target device installation method of the target monitoring device according to the monitoring data recognition accuracy, which may include:

[0116] For each target high-position deployment resource, the type, quantity and installation method of the video surveillance equipment are determined according to the video surveillance accuracy and image surveillance accuracy; the type, quantity and installation method of the millimeter-wave radar equipment are determined according to the position monitoring weight and speed monitoring weight.

[0117] Millimeter wave radar equipment is a radar system that uses the millimeter wave frequency band (usually refers to the frequency range of millimeter waves and submillimeter waves, i.e., 30GHz to 300GHz) for target detection and tracking. The millimeter wave radar system has unique advantages in target detection, high-resolution imaging, and all-weather monitoring because it uses millimeter waves with shorter wavelengths. Among them, the main features of directional millimeter wave radars include high resolution, good environmental adaptability, strong versatility, and strong electromagnetic anti-interference ability. Due to the short wavelength of millimeter waves, directional millimeter wave radar systems can achieve high-resolution detection of targets, making them excellent in target detail recognition and suitable for applications that require more precise detection and imaging; millimeter waves have high penetration ability and are less affected by meteorological conditions such as haze, rain and snow, so directional millimeter wave radars perform relatively well in bad weather, which helps to maintain stable detection performance under various environmental conditions; directional millimeter wave radars are widely used in military, civilian and industrial fields, including target tracking, vehicle perception, drone monitoring, safety detection, assisted driving systems, etc.; millimeter wave frequency bands are usually less interfered by other electromagnetic wave equipment, which helps to improve the reliability of directional millimeter wave radar systems.

[0118] Current roadside perception is usually based on separate videos or low-mounted radars. Although the former can provide effective features of the vehicle and specific visual static information, it is difficult to obtain accurate dynamic information such as the vehicle's speed and position, and cannot accurately track the vehicle's trajectory; although the latter can obtain accurate vehicle driving status, the sparse data makes it difficult to identify static information such as the vehicle's type and color, and due to the lack of visual vehicle features, it is impossible to quickly identify key vehicle models. More importantly, radars installed at low locations (such as those installed on gantry frames) are limited by their low installation height and are easily blocked by various factors such as green belts and signboards, resulting in a shorter effective detection distance for abnormal events.

[0119] In this optional embodiment, the type of video surveillance equipment, the number of video surveillance equipment, and the installation method of video surveillance equipment are determined according to the video surveillance accuracy and the image surveillance accuracy; the type of millimeter wave radar equipment, the number of millimeter wave radar equipment, and the installation method of millimeter wave radar equipment are determined according to the position monitoring weight and the speed monitoring weight. For example: the video surveillance weight is 0.8: it means that video surveillance is required and the video surveillance can at least identify the license plate number, and the image monitoring weight is 0.9: it means that image capture is required and at least the driver's facial information can be identified, then the video surveillance equipment type of the video surveillance equipment is determined to be X-type video surveillance equipment, the number of video surveillance equipment is 1, and the video surveillance equipment installation method is the crossbar installation method.

[0120] It can be seen that in this optional embodiment, the monitoring equipment includes video monitoring equipment and millimeter wave radar equipment, and both are installed on high-position deployment resources with a certain height, so that the monitoring equipment can monitor a wider range and obtain diversified monitoring data. At the same time, this optional embodiment adopts an intelligent design method, which can intelligently design the installation method of video monitoring equipment and millimeter wave radar equipment, thereby increasing the reliability of road monitoring design.

[0121] Embodiment 2

[0122] See also Figure 2 , Figure 2 Schematic diagram of the structure of a road monitoring intelligent design device disclosed in an embodiment of the present invention. Figure 2 As shown, the road monitoring intelligent design device may include:

[0123] The first acquisition module 201 is used to acquire the deployment information corresponding to each high-position deployment resource on the road to be monitored. The high-position deployment resources include objects that are located in a preset first area on both sides of the road to be monitored and have a height exceeding a preset height threshold and can be installed with monitoring equipment. The deployment information is used to indicate the location and height of the corresponding high-position deployment resource;

[0124] The second acquisition module 202 is used to acquire road information corresponding to the road to be monitored, where the road information includes label information for representing each sub-road in the road to be monitored, wherein the label information is used to represent one or more of the functional type, geographical environment type, accident probability and accident level of the corresponding sub-road;

[0125] The resource screening module 203 is used to determine all target high-position deployment resources from all high-position deployment resources according to the road information and all deployment information, where the target high-position deployment resources represent target objects that need to be equipped with monitoring equipment;

[0126] The equipment analysis module 204 is used to determine, for each target high-position deployment resource, equipment information corresponding to the target high-position deployment resource according to the road information and the deployment information corresponding to the target high-position deployment resource, where the equipment information is used to indicate one or more of the equipment type, equipment quantity, equipment installation method, equipment installation height, and equipment pitch angle of the target monitoring equipment to be installed on the target high-position deployment resource;

[0127] The plan generation module 205 is used to generate a monitoring design plan corresponding to the road to be monitored according to the deployment information and equipment information corresponding to all target high-level deployment resources.

[0128] It can be seen that the intelligent design device for road monitoring in the embodiment of the present invention does not rely on the gantry installed on the road in the prior art to install the monitoring equipment, but selects high-position deployment resources with a certain height to install the monitoring equipment, so it has a broader monitoring field of view and can obtain a wider range of monitoring data, thereby adapting to higher-demand monitoring scenarios. Secondly, a series of data analysis and processing operations are performed based on road information and deployment information, and the final monitoring plan is generated intelligently without relying on manual decision-making, which can meet the monitoring needs of the road to be monitored to the greatest extent, provide effective and comprehensive monitoring data for comprehensive road management, and thus increase the reliability of road monitoring design.

[0129] In an optional embodiment, the specific manner in which the resource screening module 203 determines all target high-level deployment resources from all high-level deployment resources according to the road information and all deployment information may include:

[0130] According to the label information corresponding to each sub-road in the road information, the monitoring requirements corresponding to each sub-road are determined, where the monitoring requirements are used to indicate the expected range of the corresponding sub-road to be monitored and the expected accuracy of the monitoring data to be obtained;

[0131] Input the deployment information corresponding to each high-level deployment resource into the pre-trained monitoring and analysis model, and obtain the monitoring capability parameters corresponding to each high-level deployment resource output by the monitoring and analysis model. The monitoring capability parameters are used to measure the actual range that the corresponding high-level deployment resource can monitor and the actual accuracy of the monitoring data that can be obtained;

[0132] According to the monitoring requirements corresponding to all sub-roads and the monitoring capability parameters corresponding to all high-level deployment resources, all target high-level deployment resources are determined from all high-level deployment resources;

[0133] Among them, the monitoring and analysis model is obtained by training the initial monitoring and analysis model using multiple sets of training data sets, each set of training data sets includes standard deployment information and standard monitoring capability parameters corresponding to the standard deployment information, and the monitoring and analysis model is used to determine the monitoring capability parameters based on the deployment information.

[0134] It can be seen that this optional embodiment can analyze the monitoring requirements of the roads to be monitored and the monitoring capabilities of the high-level deployment resources, and analyze from the perspective of the compatibility of capabilities and requirements, and ultimately determine all target high-level deployment resources from all high-level deployment resources more efficiently and accurately.

[0135] In another optional embodiment, the device analysis module 204 determines, for each target high-level deployment resource, the device information corresponding to the target high-level deployment resource according to the road information and the deployment information corresponding to the target high-level deployment resource, and the specific manner may include:

[0136] For each target high-level deployment resource, determine the matching sub-road corresponding to the target high-level deployment resource and the connecting sub-road adjacent to the matching sub-road, wherein the target high-level deployment resource is located in the second area preset on both sides of the corresponding matching sub-road; and determine the reference target high-level deployment resource corresponding to the target high-level deployment resource, wherein the reference target high-level deployment resource includes the remaining target high-level deployment resources located in the reference area except the target high-level deployment resource, and the reference area includes the second area preset on both sides of the matching sub-road and the third area preset on both sides of the connecting sub-road;

[0137] For each target high-level deployment resource, determine the monitoring parameters corresponding to the target high-level deployment resource based on the monitoring requirements of the matching sub-roads corresponding to the target high-level deployment resource, the monitoring requirements of the connecting sub-roads, and the deployment information corresponding to all reference target high-level deployment resources corresponding to the target high-level deployment resource. The monitoring parameters are used to indicate the expected range that the corresponding target high-level deployment resource needs to monitor and the expected accuracy of the monitoring data that needs to be obtained; based on the monitoring parameters, determine the equipment information corresponding to the target high-level deployment resource.

[0138] It can be seen that this optional embodiment can take into account the mutual connections and influences between different sub-roads during the monitoring plan design stage, and analyze the monitoring needs of several adjacent sub-roads as a whole, so that the designed monitoring system can obtain more comprehensive and intrinsically related monitoring data, and can further analyze the monitoring data to obtain more road information.

[0139] In another optional embodiment, the device analysis module 204 determines, for each target high-level deployment resource, according to the monitoring parameters, a specific manner in which the device information corresponding to the target high-level deployment resource may include:

[0140] For each target high-position deployment resource, determine the monitoring section and monitoring data recognition accuracy corresponding to the target high-position deployment resource based on the monitoring parameters; determine the target device type, target device quantity and target device installation method of the target monitoring device based on the monitoring data recognition accuracy; based on the determined target device type, target device quantity and target device installation method, determine the target device installation height and target device pitch angle of the target monitoring device based on the positional relationship between the target high-position deployment resource and the monitoring section; determine the device information corresponding to the target high-position deployment resource based on the target device type, target device quantity, target device installation method, target device installation height and target device pitch angle.

[0141] It can be seen that this optional embodiment can determine the target device type, target device quantity, target installation method, target device installation height and target device pitch angle of the target monitoring device based on two factors: the monitored road section and the monitoring data recognition accuracy. It can determine more reasonable and efficient equipment information for describing the installation method of the monitoring equipment, so that the designed monitoring system can obtain more reliable monitoring data.

[0142] In yet another optional embodiment, Figure 3 As shown, the device may also include:

[0143] The third acquisition module 206 is used to acquire geographical environment information of the road to be monitored, where the geographical environment information is used to represent the geographical features within the first area on both sides of the road to be monitored;

[0144] Furthermore, the device analysis module 204 determines the target device installation height and the target device pitch angle of the target monitoring device for each target high-position deployment resource according to the positional relationship between the target high-position deployment resource and the monitoring section, which may include:

[0145] For each target high-position deployment resource, the target device installation height of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the geographical environment information, and the target device pitch angle of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the device installation height.

[0146] It can be seen that this optional embodiment can determine the target device installation height of the target monitoring device according to the positional relationship between the target high-position deployment resource and the monitoring section and the geographical environment information, and then determine the target device pitch angle of the target monitoring device according to the positional relationship between the target high-position deployment resource and the monitoring section and the device installation height. Thus, the impact of the geographical environment on the field of view of the monitoring device is comprehensively considered, and a more reasonable installation height and pitch angle of the monitoring device are determined, so that the designed monitoring system can obtain more reliable monitoring data.

[0147] In another optional embodiment, the target monitoring equipment installed on the target high-position deployment resource includes a video monitoring device and a millimeter wave radar device, and the road information also includes surveying and mapping information of each sub-road, wherein the surveying and mapping information is used to represent one or more of the length, slope, width, and road flatness of the corresponding sub-road;

[0148] Furthermore, the resource screening module 203 determines the specific manner of the monitoring requirement corresponding to each sub-road section according to the label information corresponding to each sub-road section in the road information, which may include:

[0149] For each sub-road, based on the label information and surveying information corresponding to the sub-road, the monitored road surface coordinate range and monitored road surface slope corresponding to the sub-road are generated; based on the label information corresponding to the sub-road, the video monitoring weight, image monitoring weight, position monitoring weight and speed monitoring weight corresponding to the sub-road are generated; based on the monitored road surface coordinate range, monitored road surface slope, video monitoring weight, image monitoring weight, position monitoring weight and speed monitoring weight corresponding to the sub-road, the monitoring requirement corresponding to the sub-road is determined;

[0150] Among them, the video monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the video data, the image monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the image data, the position monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the position data of the monitored object, and the speed monitoring weight is used to measure the degree of dependence of the monitoring results of the corresponding sub-road on the speed data of the monitored object.

[0151] It can be seen that this optional embodiment uses surveying and mapping information to represent the length, slope, and width of the corresponding sub-road, so as to determine the monitoring requirements of the sub-road in a more fine-grained manner. At the same time, this optional embodiment determines the monitoring requirements corresponding to the sub-road according to the monitoring road surface coordinates, slope road surface coordinates, video monitoring weights, image monitoring weights, position monitoring weights, and speed monitoring weights corresponding to the sub-road, which is a more comprehensive and reasonable description of the monitoring requirements of the sub-road, thereby providing more reliable and reasonable data support for the design of subsequent monitoring solutions, thereby further increasing the reliability of road monitoring design.

[0152] In another optional embodiment, the road section information corresponding to the monitored road section includes the length information, width information and slope information of the road that the corresponding target high-level deployment resource needs to monitor; the monitoring data recognition accuracy includes video monitoring accuracy, image monitoring accuracy, location monitoring accuracy and speed monitoring accuracy;

[0153] Furthermore, the device analysis module 204 determines the target device installation height and the target device pitch angle of the target monitoring device for each target high-position deployment resource according to the positional relationship between the target high-position deployment resource and the monitoring section, which may include:

[0154] For each target high-position deployment resource, determine a target device installation height and a target device pitch angle of a target monitoring device according to the target high-position deployment resource and the length information, width information and slope information of the road that the target high-position deployment resource needs to monitor;

[0155] Furthermore, the device analysis module 204 determines the target device type, target device quantity and target device installation method of the target monitoring device for each target high-level deployment resource according to the monitoring data recognition accuracy, which may include:

[0156] For each target high-position deployment resource, the type, quantity and installation method of the video surveillance equipment are determined according to the video surveillance accuracy and image surveillance accuracy; the type, quantity and installation method of the millimeter-wave radar equipment are determined according to the position monitoring weight and speed monitoring weight.

[0157] It can be seen that in this optional embodiment, the monitoring equipment includes video monitoring equipment and millimeter wave radar equipment, and both are installed on high-position deployment resources with a certain height, so that the monitoring equipment can monitor a wider range and obtain diversified monitoring data. At the same time, this optional embodiment adopts an intelligent design method, which can intelligently design the installation method of video monitoring equipment and millimeter wave radar equipment, thereby increasing the reliability of road monitoring design.

[0158] Embodiment 3

[0159] See also Figure 4 , Figure 4 FIG. 1 is a schematic diagram of another intelligent road monitoring design device disclosed in an embodiment of the present invention. Figure 4 As shown, the road monitoring intelligent design device may include:

[0160] A memory 301 storing executable program codes;

[0161] a processor 302 coupled to the memory 301;

[0162] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the road monitoring intelligent design method described in the first embodiment of the present invention.

[0163] Embodiment 4

[0164] The embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the road monitoring intelligent design method described in the first embodiment of the present invention.

[0165] Embodiment 5

[0166] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the road monitoring intelligent design method described in Example 1.

[0167] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0168] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0169] Finally, it should be noted that the intelligent road monitoring design method, device, and storage medium disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A road monitoring intelligent design method, characterized in that: The method comprises: Obtaining deployment information corresponding to each high-position deployment resource on the road to be monitored, wherein the high-position deployment resources include objects located in a preset first area on both sides of the road to be monitored and capable of installing monitoring equipment, the height of which exceeds a preset height threshold, and the deployment information is used to indicate the position and height of the corresponding high-position deployment resource; Acquire road information corresponding to the road to be monitored, wherein the road information includes label information for representing each sub-road in the road to be monitored, wherein the label information is used to represent one or more of a function type, a geographical environment type, an accident probability, and an accident level of the corresponding sub-road; Determine all target high-position deployment resources from all the high-position deployment resources according to the road information and all the deployment information, wherein the target high-position deployment resources represent target objects on which monitoring equipment needs to be installed; For each of the target high-position deployment resources, determine the device information corresponding to the target high-position deployment resource according to the road information and the deployment information corresponding to the target high-position deployment resource, wherein the device information is used to indicate one or more of the device type, device quantity, device installation method, device installation height, and device pitch angle of the target monitoring device to be installed on the target high-position deployment resource; A monitoring design plan corresponding to the road to be monitored is generated according to the deployment information and the equipment information corresponding to all the target high-level deployment resources.

2. The intelligent design method for road monitoring according to claim 1 is characterized in that: The step of determining all target high-position deployment resources from all the high-position deployment resources according to the road information and all the deployment information includes: Determine, according to the label information corresponding to each section of the sub-road in the road information, a monitoring requirement corresponding to each section of the sub-road, wherein the monitoring requirement is used to indicate an expected range of the corresponding sub-road that needs to be monitored and an expected accuracy of the monitoring data that needs to be obtained; Input the deployment information corresponding to each of the high-level deployment resources into a pre-trained monitoring and analysis model, and obtain a monitoring capability parameter corresponding to each of the high-level deployment resources output by the monitoring and analysis model, wherein the monitoring capability parameter is used to measure the actual range that the corresponding high-level deployment resource can monitor and the actual accuracy of the monitoring data that can be obtained; Determine all target high-level deployment resources from all the high-level deployment resources according to the monitoring requirements corresponding to all the sub-roads and the monitoring capability parameters corresponding to all the high-level deployment resources; Among them, the monitoring and analysis model is obtained by training the initial monitoring and analysis model using multiple groups of training data sets, each group of training data sets includes standard deployment information and standard monitoring capability parameters corresponding to the standard deployment information, and the monitoring and analysis model is used to determine the monitoring capability parameters based on the deployment information.

3. The intelligent design method for road monitoring according to claim 2 is characterized in that: For each of the target high-level deployment resources, determining the device information corresponding to the target high-level deployment resource according to the road information and the deployment information corresponding to the target high-level deployment resource includes: For each of the target high-level deployment resources, determine the matching sub-road corresponding to the target high-level deployment resource and the connecting sub-roads adjacent to the matching sub-road, wherein the target high-level deployment resource is located in the second area preset on both sides of the corresponding matching sub-road; and determine the reference target high-level deployment resource corresponding to the target high-level deployment resource, wherein the reference target high-level deployment resource includes the remaining target high-level deployment resources located in the reference area except the target high-level deployment resource, and the reference area includes the second area preset on both sides of the matching sub-road and the third area preset on both sides of the connecting sub-road; For each of the target high-level deployment resources, determine the monitoring parameters corresponding to the target high-level deployment resource based on the monitoring requirements of the matching sub-roads corresponding to the target high-level deployment resource, the monitoring requirements of the connecting sub-roads, and the deployment information corresponding to all the reference target high-level deployment resources corresponding to the target high-level deployment resource, where the monitoring parameters are used to represent the expected range that the corresponding target high-level deployment resource needs to monitor and the expected accuracy of the monitoring data that needs to be obtained; determine the equipment information corresponding to the target high-level deployment resource based on the monitoring parameters.

4. The intelligent design method for road monitoring according to claim 3 is characterized in that: For each of the target high-level deployment resources, determining the device information corresponding to the target high-level deployment resource according to the monitoring parameters includes: For each of the target high-position deployment resources, the monitoring section and monitoring data recognition accuracy corresponding to the target high-position deployment resource are determined according to the monitoring parameters; the target device type, target device quantity and target device installation method of the target monitoring device are determined according to the monitoring data recognition accuracy; based on the determined target device type, target device quantity and target device installation method, the target device installation height and target device pitch angle of the target monitoring device are determined according to the positional relationship between the target high-position deployment resource and the monitoring section; the device information corresponding to the target high-position deployment resource is determined according to the target device type, target device quantity, target device installation method, target device installation height and target device pitch angle.

5. The intelligent design method for road monitoring according to claim 4 is characterized in that: The method further comprises: Acquire geographical environment information of the road to be monitored, where the geographical environment information is used to represent the geographical features within the first area on both sides of the road to be monitored; And, for each of the target high-position deployment resources, determining the target device installation height and the target device pitch angle of the target monitoring device according to the positional relationship between the target high-position deployment resource and the monitoring section, including: For each of the target high-position deployment resources, the target device installation height of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the geographical environment information, and the target device pitch angle of the target monitoring device is determined based on the positional relationship between the target high-position deployment resource and the monitored road section and the device installation height.

6. The intelligent design method for road monitoring according to claim 4 is characterized in that: The target monitoring equipment installed on the target high-position deployment resource includes a video monitoring device and a millimeter-wave radar device, and the road information also includes surveying and mapping information of each section of the sub-road, wherein the surveying and mapping information is used to represent one or more of the length, slope, width, and road flatness of the corresponding sub-road; And, determining the monitoring requirement corresponding to each section of the sub-road according to the label information corresponding to each section of the sub-road in the road information includes: For each section of the sub-road, based on the label information and the surveying and mapping information corresponding to the sub-road, a monitoring road surface coordinate range and a monitoring road surface slope corresponding to the sub-road are generated; based on the label information corresponding to the sub-road, a video monitoring weight, an image monitoring weight, a position monitoring weight and a speed monitoring weight corresponding to the sub-road are generated; and based on the monitoring road surface coordinate range, the monitoring road surface slope, the video monitoring weight, the image monitoring weight, the position monitoring weight and the speed monitoring weight corresponding to the sub-road, a monitoring requirement corresponding to the sub-road is determined; Among them, the video monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the video data, the image monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the image data, the position monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the position data of the monitored object, and the speed monitoring weight is used to measure the degree of dependence of the corresponding monitoring results of the sub-road on the speed data of the monitored object.

7. The intelligent design method for road monitoring according to claim 6 is characterized in that: The road section information corresponding to the monitored road section includes the length information, width information and slope information of the road that the corresponding target high-level deployment resource needs to monitor; the monitoring data recognition accuracy includes video monitoring accuracy, image monitoring accuracy, position monitoring accuracy and speed monitoring accuracy; And, for each of the target high-position deployment resources, determining the target device installation height and the target device pitch angle of the target monitoring device according to the positional relationship between the target high-position deployment resource and the monitoring section, including: For each of the target high-position deployment resources, determining a target device installation height and a target device pitch angle of the target monitoring device according to the target high-position deployment resource and the length information, the width information and the slope information of the road that the target high-position deployment resource needs to monitor; And, for each of the target high-level deployment resources, determining the target device type, target device quantity and target device installation method of the target monitoring device according to the monitoring data recognition accuracy, including: For each of the target high-position deployment resources, the type of video surveillance equipment, the number of video surveillance equipment and the installation method of the video surveillance equipment are determined according to the video surveillance accuracy and the image monitoring accuracy; the type of millimeter-wave radar equipment, the number of millimeter-wave radar equipment and the installation method of the millimeter-wave radar equipment are determined according to the position monitoring weight and the speed monitoring weight.

8. A road monitoring intelligent design device, characterized in that: The device comprises: A first acquisition module is used to acquire deployment information corresponding to each high-position deployment resource on the road to be monitored, wherein the high-position deployment resources include objects that are located in a preset first area on both sides of the road to be monitored and have a height exceeding a preset height threshold and can be installed with monitoring equipment, and the deployment information is used to indicate the position and height of the corresponding high-position deployment resource; A second acquisition module is used to acquire road information corresponding to the road to be monitored, wherein the road information includes label information for representing each sub-road in the road to be monitored, wherein the label information is used to represent one or more of the function type, geographical environment type, accident probability and accident level of the corresponding sub-road; A resource screening module, used to determine all target high-position deployment resources from all the high-position deployment resources according to the road information and all the deployment information, wherein the target high-position deployment resources represent target objects for which monitoring equipment needs to be installed; an equipment analysis module, for determining, for each of the target high-position deployment resources, equipment information corresponding to the target high-position deployment resource according to the road information and the deployment information corresponding to the target high-position deployment resource, wherein the equipment information is used to indicate one or more of equipment type, equipment quantity, equipment installation method, equipment installation height, and equipment pitch angle of the target monitoring equipment to be installed on the target high-position deployment resource; A scheme generating module is used to generate a monitoring design scheme corresponding to the road to be monitored according to the deployment information and the equipment information corresponding to all the target high-level deployment resources.

9. A road monitoring intelligent design device, characterized in that: The device includes: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the road monitoring intelligent design method as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the road monitoring intelligent design method as described in any one of claims 1-7.

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