Intelligent management system for highway safety operations

Abstract

The present invention relates to the field of highway intelligent management technology, specifically to an intelligent management system for safe operation of expressways, the system comprising: an intelligent traffic monitoring subsystem, an information management subsystem, an intelligent dispatching subsystem and a safety warning and rescue subsystem; the intelligent traffic monitoring subsystem is used to monitor the expressway in real time and obtain initial monitoring information of the expressway; a system information management model is constructed in the information management subsystem, the initial monitoring information is processed by the system information management model, and target monitoring information is obtained; the intelligent dispatching subsystem formulates a safety dispatching plan for the expressway based on the target monitoring information; the safety warning and rescue subsystem combines the target monitoring information and the safety dispatching plan to analyze and predict the safe operation status of the expressway, so as to realize safety warning and timely rescue of the expressway. The present invention performs real-time monitoring, intelligent dispatching and emergency warning on the management system, thereby improving the operation efficiency and safety of the expressway.

Description

Technical Field

[0001] The invention relates to the technical field of highway intelligent management, specifically to an intelligent management system for safe operations on expressways. Background Art

[0002] With the acceleration of urbanization and the continuous growth of traffic demand, the highway system, as an important part of the urban transportation network, bears increasingly heavy transportation tasks. However, the traffic safety and operation efficiency issues of highways are also becoming increasingly prominent, and the existing management methods are difficult to meet the actual management needs.

[0003] At present, the management of highway safety operations mainly relies on manual monitoring and traditional traffic management facilities. However, the existing management system has many shortcomings, such as limited monitoring range, slow response speed, weak information processing ability, mismatched safety adjustment plans, and untimely operation status warning. In addition, with the continuous increase in the number of vehicles and the increasingly complex traffic environment, traffic accidents and operational safety hazards on highways are also on the rise.

[0004] In view of the current situation and actual needs of highway safety operation management, an intelligent highway safety operation management system is needed that can realize real-time monitoring, intelligent scheduling and emergency response of highway operation status to improve the operation efficiency and safety of highways. Summary of the invention

[0005] In view of the shortcomings of existing methods and the needs of practical applications, in order to achieve the scientificity, intelligence and accuracy of highway traffic management, further ensure the operating efficiency, intelligence and safety of highways, through real-time monitoring, intelligent scheduling and safety warning, the matching degree of safety scheduling scheme and traffic management equipment is improved, thereby realizing the intelligence and effectiveness of highway traffic management system. On the one hand, the present invention provides an intelligent management system for highway safety operations, which includes: a traffic intelligent monitoring subsystem, an information management subsystem, an intelligent scheduling subsystem and a safety warning and rescue subsystem; the traffic intelligent monitoring subsystem is used to monitor the highway in real time and obtain the initial monitoring information of the highway; a system information management model is constructed in the information management subsystem, and the information management subsystem uses the system information management model to process the initial monitoring information and obtain the target monitoring information of the highway; the intelligent scheduling subsystem formulates a safety scheduling plan for the highway based on the target monitoring information; the safety warning and rescue subsystem combines the target monitoring information and the safety scheduling plan to analyze and predict the safe operation status of the highway, so as to achieve safety warning and timely rescue of the highway. The highway management system of the present invention improves the management efficiency and service quality of the system in an intelligent and automated manner, can more conveniently obtain highway traffic information and make management decisions, and helps promote the development of highway management systems in the direction of intelligence and efficiency.

[0006] Optionally, constructing a system information management model in the information management subsystem includes: setting a data anomaly determination model in the information management subsystem; setting an information feature recognition model in the information management subsystem; setting an ambient light evaluation model in the information management subsystem; and constructing a system information management model by combining the data anomaly determination model, the information feature recognition model and the ambient light evaluation model. The data anomaly determination model, the information feature recognition model and the ambient light evaluation model constructed by the present invention jointly promote the development of highway management systems in the direction of intelligence and efficiency.

[0007] Optionally, setting the data anomaly determination model in the information management subsystem includes: establishing the data anomaly determination model based on initial monitoring information;

[0008] The data anomaly determination model satisfies the following relationship:

[0009]

[0010] in, represents the number of matching times that the traffic intelligent monitoring subsystem transmits information to the information management subsystem within the time interval t, represents the number of information matches recorded by the information management subsystem in the tth time interval, Indicates the preset reference value of the number of information matches. Indicates other situations where the number of information matches recorded by the information management subsystem in the time interval t does not meet the reference value of the number of information matches. The present invention determines the matching of system information through a data anomaly determination model, so that the system can intelligently filter and transmit valid information, avoid the transmission of invalid information, and improve the efficiency and speed of information transmission in the system.

[0011] Optionally, the setting of the information feature recognition model in the information management subsystem includes: establishing the information feature recognition model based on the requirements of the highway safety operation intelligent management system;

[0012] The information feature recognition model satisfies the following relationship:

[0013]

[0014] in, The feature vector representing the input information in the time interval t, Represents the relative weight value of historical information within the time interval t, Represents the mean vector of input information in the time interval t, represents the eigenvector matrix in the time interval t, Indicates the time interval corresponding to obtaining the initial monitoring information. represents the residual vector matrix corresponding to the t time interval, Indicates the fixed window value of the information management subsystem. The information feature recognition model of the present invention can accurately recognize and process various traffic information on the highway, so that the system can more effectively analyze and understand the inherent laws and characteristics of traffic data.

[0015] Optionally, the setting of the ambient light evaluation model in the information management subsystem includes: setting the ambient light evaluation model in the information management subsystem, the ambient light evaluation model including an ambient brightness analysis model and a monitoring image optimization model. The ambient brightness analysis model of the present invention can analyze the changes in ambient light in real time; the monitoring image optimization model can optimize the collected monitoring images.

[0016] Optionally, the ambient brightness analysis model satisfies the following relationship:

[0017]

[0018] in, Indicates the luminous brightness of the monitoring environment. represents the average illumination of the surveillance image, Indicates the transmittance of the monitoring equipment. Indicates the shooting distance of the monitoring device. Indicates the focal length of the monitoring device's lens. The present invention calculates the luminous brightness of the monitoring environment through the environmental brightness analysis model, which is helpful to adjust the parameters of related equipment in the highway system.

[0019] Optionally, the monitoring image optimization model satisfies the following relationship:

[0020] ,

[0021] in, represents the normalized grayscale of the pixel with grayscale j on the initial monitoring image on the transformed image, j represents the initial image pixel, represents the number of pixels with gray level j on the initial image, Represents the total number of pixels with different gray levels on the initial image, The present invention processes the initial monitoring image by optimizing the model, which helps to improve the contrast, clarity and overall visual effect of the image, reduce the noise and blur of the monitoring image, and thus improve the quality of the monitoring image.

[0022] Optionally, the information management subsystem uses the system information management model to process the initial monitoring information, and obtains the target monitoring information of the highway including: obtaining the abnormal detection results of the initial monitoring information using the data abnormality determination model; obtaining the feature information of the initial monitoring information according to the information feature recognition model; obtaining the ambient brightness of the highway through the ambient brightness analysis model; and obtaining the optimized monitoring image information based on the monitoring image optimization model. The information management subsystem of the present invention comprehensively uses multiple models to achieve comprehensive and accurate extraction of highway target monitoring information, providing information support and security for the safe and efficient operation of highways.

[0023] Optionally, the intelligent dispatching subsystem formulates a safe dispatching plan for the expressway based on the target monitoring information, including: the intelligent dispatching subsystem receives the abnormal detection result, the characteristic information, the ambient brightness condition and the optimized monitoring image information, and formulates a safe dispatching plan for the expressway. The intelligent dispatching subsystem of the present invention formulates a safe dispatching plan for the expressway based on the target monitoring information, which improves the emergency response speed, enhances the monitoring effect and safety, and helps to achieve efficient allocation of resources and intelligent development of traffic management.

[0024] Optionally, the safety warning and rescue subsystem combines the target monitoring information and the safety dispatching scheme to analyze and predict the safe operation status of the expressway to achieve safety warning and timely rescue of the expressway, including: configuring a safety warning device and a remote communication device in the safety warning and rescue subsystem; analyzing and predicting the operation status of the expressway according to the safety warning device, the remote communication device, the target monitoring information and the safety dispatching scheme to achieve safety warning and timely rescue of the expressway. The intelligent management system for safe operation of expressways of the present invention can prevent traffic accidents in advance, shorten rescue response time, improve emergency handling capabilities, optimize resource allocation, and promote the intelligent development of transportation, thereby jointly promoting the intelligent and efficient development of expressway traffic management systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of the intelligent management system for highway safety operations of the present invention;

[0026] Figure 2 It is a schematic diagram of a multi-dimensional identification marking device in the intelligent management system for highway safety operations of the present invention;

[0027] Figure 3 It is a structural diagram of the intelligent management system for highway safety operations of the present invention. DETAILED DESCRIPTION

[0028] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0029] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0030] See also Figure 1The system of the present invention can realize measures such as real-time monitoring, intelligent dispatching and safety warning of expressways, improve the scientificity, intelligence and accuracy of expressway traffic management, and formulate safety dispatching plans for expressways and analyze the operation status of expressways based on monitoring information, which is conducive to the intelligent and efficient development of expressway traffic management systems. The present invention provides an intelligent management system for safe operation of expressways, which includes the following steps:

[0031] The intelligent management system for highway safety operations includes: intelligent traffic monitoring subsystem, information management subsystem, intelligent dispatching subsystem and safety warning and rescue subsystem.

[0032] S1. Use the above-mentioned intelligent traffic monitoring subsystem to monitor the expressway in real time and obtain initial monitoring information of the expressway. The specific implementation steps and related contents are as follows:

[0033] In this embodiment, the intelligent traffic monitoring subsystem is mainly configured with the following devices to obtain initial monitoring information of the expressway.

[0034] 1. Image acquisition device

[0035] The camera is one of the core devices of the intelligent traffic monitoring subsystem, which can capture the traffic situation on the highway in real time. Through the high-definition camera, the vehicle driving status, road conditions, and the specific situation of the high-incidence points of highway accidents, road construction points, or accident points on the highway can be clearly observed.

[0036] In this embodiment, the vehicle detector can be designed under the surface of the highway to detect vehicles through changes in the electromagnetic field of the induction coil, thereby accurately providing key information such as the number, speed, and type of vehicles passing through, providing data support for traffic flow analysis and anomaly detection.

[0037] 2. Environmental Monitoring Device

[0038] The environmental monitoring device is composed of a variety of sensors, which can monitor meteorological information such as temperature, humidity, wind direction, wind speed, rainfall, visibility and road conditions on the highway in real time. The above monitoring data is of great significance for evaluating road conditions, predicting traffic conditions and emergency response plans.

[0039] Displacement and settlement monitoring sensors can be used to monitor the displacement and settlement of highways, which helps to timely discover abnormal conditions of road structures and provide important basis for road maintenance and safety warnings.

[0040] 3. Communication and transmission devices

[0041] The remote communication devices in the intelligent traffic monitoring subsystem include but are not limited to 4G / 5G base stations, wireless transmission equipment, etc., which are responsible for transmitting the data collected by different devices in the subsystem to the central server of the intelligent traffic monitoring subsystem in real time. The above equipment ensures the real-time and accuracy of the initial monitoring information, and provides strong support for subsequent analysis and decision-making.

[0042] The data transmission equipment includes but is not limited to MODEM, sub-rate boards, serial port devices, etc., which are used to realize the remote transmission of relevant monitoring data of the traffic intelligent monitoring subsystem, and then transmit the monitoring data collected by cameras, vehicle detectors and other equipment to the information management subsystem through communication lines, which helps to realize the centralized management and effective analysis of the initial monitoring information.

[0043] Furthermore, based on the initial monitoring information of the expressway monitored and collected by the above-mentioned intelligent traffic monitoring subsystem, in an optional embodiment, the construction distribution visualization information of the expressway can be queried in the intelligent traffic monitoring subsystem.

[0044] The initial monitoring information of the expressway also includes GIS (Geographic Information System) map data. In this embodiment, the geographical locations of various construction sites, accident sites or accident-prone sites on the expressway can be accurately marked on the GIS map in the form of coordinate anchor points, which is conducive to quickly locking and mastering the distribution and operation status of all key management points on the current expressway.

[0045] Furthermore, the GIS map information not only presents the spatial locations of different key management points, but also associates the main information of each key management point, that is, it can select and query the detailed information of a specific management point according to actual needs, including but not limited to the name of the management point, construction content, historical records, operating conditions in a certain period of time, and data change trends, etc. This system has information integration and data query functions, which can improve the management efficiency and accuracy of highways and provide strong data support for decision-making and emergency response.

[0046] In another optional embodiment, based on the initial monitoring information of the expressway by the above-mentioned intelligent traffic monitoring subsystem, the historical information of different management points of the expressway can be reviewed and evaluated.

[0047] In this embodiment, the intelligent traffic monitoring subsystem also has a timeline management function. Based on the system, you can flexibly select and view the operation status of the highway on a specific date, including the distribution details of all historical accident points, maintenance construction points, and the layout of planned construction points. Based on this, the historical monitoring information of the highway is deeply analyzed and summarized, which helps to grasp the construction and maintenance history of the highway, and provides a reference for the safe scheduling and scientific management of the highway safety operation intelligent management system.

[0048] In another optional embodiment, based on the initial monitoring information of the highway by the above-mentioned intelligent traffic monitoring subsystem, the real-time status of the highway management point is queried.

[0049] In the intelligent traffic monitoring subsystem, any construction point, maintenance point or accident point on a highway can be selected for monitoring information query. Based on the initial monitoring information of the above highway, the system can provide all the information of the management point, including but not limited to the name of the management point, the road section to which it belongs, the specific content of the construction, the construction period and other core data. In addition, the system can further display the detailed information of the construction personnel configuration, vehicle usage, equipment investment status and other detailed information of each management point, based on which it provides information reference for the scheduling plan of different management points.

[0050] Furthermore, the method of obtaining the initial monitoring information of the highway in the present embodiment is only an optional condition of the present invention. One or some other embodiments may be adjusted according to the monitoring requirements of the highway and the actual conditions of the intelligent management system. In practical applications, it can be ensured that the intelligent monitoring system is always highly consistent with the actual management requirements of the highway based on the specific monitoring requirements of the highway and the actual operating status of the intelligent management system. No matter what changes occur in the traffic flow, road conditions or construction activities of the highway, it can be ensured that the system can accurately and timely capture the relevant changes, thereby providing the most accurate data support for the intelligent management system.

[0051] S2. A system information management model is constructed in the information management subsystem. In the embodiment, the information management subsystem uses the system information management model to process the initial monitoring information and obtain the target monitoring information of the expressway. The specific implementation content is as follows:

[0052] The embodiment sets up a data anomaly determination model, an information feature recognition model and an ambient light assessment model in the information management subsystem; and then further constructs the system information management model of this embodiment by combining the above-mentioned data anomaly determination model, information feature recognition model and ambient light assessment model.

[0053] In order to meet the needs of accurate and timely information processing and adjust the environmental adaptability of the intelligent management system for highway safety operations, the information management subsystem should be able to automatically identify and adjust data monitoring problems in the system, reduce manual intervention, reduce system maintenance costs and improve system operation efficiency.

[0054] In an optional embodiment, a data anomaly determination model is established based on initial monitoring information.

[0055] In order to ensure the accuracy and reliability of the initial monitoring information of the highway, a data anomaly determination model is established in the embodiment to monitor and effectively identify abnormal values ​​or those that do not conform to the expected pattern in the monitoring information in real time, which helps to reduce decision-making errors caused by incorrect monitoring information. The data anomaly determination model in the embodiment is established based on the initial monitoring information and is used to verify the matching of information transmitted from the intelligent traffic monitoring subsystem to the information management subsystem. The above model determines the abnormality of the information by comparing the actual number of information matches with the pre-set reference value of the number of information matches.

[0056] The above data anomaly determination model satisfies the following relationship:

[0057]

[0058] in, represents the number of matching times that the traffic intelligent monitoring subsystem transmits information to the information management subsystem within the time interval t, represents the number of information matches recorded by the information management subsystem in the tth time interval, Indicates the preset reference value of the number of information matches. Indicates other situations in which the number of information matches recorded by the information management subsystem within the time interval t does not meet the reference value of the number of information matches.

[0059] The number of matches is a quantitative indicator that can be used to measure the effectiveness and accuracy of information interaction between the intelligent traffic monitoring subsystem and the information management subsystem. In any monitoring time interval, the number of matches of information transmitted from the intelligent traffic monitoring subsystem to the information management subsystem refers to the number of information captured, processed and transmitted to the information management subsystem by the intelligent traffic monitoring subsystem within a given time period that successfully matches the existing data or standards in the information management system.

[0060] The number of information matches recorded by the information management subsystem within any monitoring time interval refers to the number of successful matches to existing data within the system or information that meets specific rules when the information management subsystem receives and processes information from the traffic intelligent monitoring subsystem within that specific time period. The above number of matches can be used to measure the data processing capability and information accuracy of the information management subsystem.

[0061] The pre-set reference value for the number of information matches is a threshold or standard reference value, which can be used to evaluate whether the number of information matches recorded by the information management subsystem within a specific time period meets expectations or meets certain standards. This reference value is determined during the system design or configuration phase based on factors such as actual highway management needs, historical monitoring data, and highway business rules.

[0062] Other situations where the number of information matches recorded by the information management subsystem does not meet the reference value of the number of information matches within any monitoring time interval specifically refers to situations where the actual number of information matches does not meet or exceeds the preset reference value within the specific time period. When the actual number of matches does not meet the reference value, the information management subsystem can identify the relevant situation, which is conducive to the subsequent adoption of corresponding measures to deal with it, where the response measures include but are not limited to triggering alarms, recording abnormal events, adjusting system parameters, or conducting further investigation and analysis to determine the root cause of the problem and take corresponding solutions.

[0063] In another optional embodiment, an information feature recognition model is established based on the needs of the intelligent management system for highway safety operations.

[0064] In order to automatically extract and analyze key information features in monitoring information, improve information processing efficiency and accuracy, help the system quickly respond to various information needs, and improve the overall performance of the system, the above information feature recognition model needs to satisfy the following relationship:

[0065]

[0066] in, The feature vector representing the input information in the time interval t, Represents the relative weight value of historical information within the time interval t, Represents the mean vector of input information in the time interval t, represents the eigenvector matrix in the time interval t, Indicates the time interval corresponding to obtaining the initial monitoring information. represents the residual vector matrix corresponding to the t time interval, Indicates the fixed window value of the information management subsystem.

[0067] In this embodiment Indicates the time interval for obtaining monitoring information, where .

[0068] The feature vector of the input information in any time interval refers to a set of values ​​or attributes provided by the intelligent traffic monitoring subsystem or other data sources to the information management subsystem in the specific time period to describe or represent the input information. The above values ​​or attributes are usually called features, which together constitute a feature vector, which is used to represent the position or state of the input information in the feature space. In an optional embodiment, the feature vector has functions such as classification, clustering, and dimensionality reduction. In the intelligent traffic monitoring system, the feature vector contains information such as traffic flow, vehicle type, speed, direction, and timestamp.

[0069] The relative weight value of historical information in any monitoring time interval refers to the relative importance or influence of historical information in the decision-making or analysis process within that specific time period. The setting of the above weight value needs to be reasonably allocated based on factors such as the reliability, relevance, and timeliness of the historical information. The allocation of relative weight values ​​based on the system's historical information can more accurately evaluate the impact of different information on decision-making, and then more comprehensively consider various factors, thereby making more scientific management plans and decisions.

[0070] The relative weight value of the historical data within any of the above monitoring time intervals needs to satisfy the following relationship:

[0071]

[0072] in, Represents the relative weight value of historical information within the time interval t, Indicates the maximum weight value of historical data in the time interval t, Indicates the minimum weight value of historical data in time interval t.

[0073] In any monitoring time interval, the mean vector of the input information refers to the vector composed of the average values ​​of all the input information in each dimension in the specific time period, which can be used to describe the central trend of the data set. In an optional embodiment, the input information of the intelligent traffic monitoring subsystem is a multidimensional data set, each data point can be represented as a vector, different vectors contain multiple components, that is, have characteristics or dimensions, and multiple such data points are collected in the t time interval, that is, vector representations of multiple input information, and then the values ​​of the data points in each dimension are averaged to obtain the mean vector of the input information.

[0074] The eigenvector matrix in any time interval refers to a matrix composed of multiple eigenvectors in this time period. The eigenvectors can represent different data points, observations or input information, and have specific directions and lengths in the feature space. The above eigenvector matrix is ​​crucial for system data analysis, machine learning and other fields.

[0075] The time interval corresponding to the acquisition of initial monitoring information refers to the time range corresponding to the first recording or acquisition of monitoring information when conducting highway monitoring activities and data collection. The time interval has important reference significance for subsequent monitoring, data analysis and decision making.

[0076] The residual vector matrix corresponding to any monitoring time interval refers to the residual vector generated during the system calculation or iteration process in a specific time period, which can be used to represent the difference between the target value and the calculated value or approximate value.

[0077] The fixed window value of the information management subsystem refers to the threshold of a fixed-length time window set when the fixed window algorithm is used for flow control or resource management in the information management system. The above threshold can be used to limit the number of requests allowed to pass or be processed within a specific time window to prevent system overload or resource exhaustion. The fixed window algorithm is a flow limiting algorithm that counts requests within a fixed-length time window. When the count reaches the set threshold, subsequent requests are rejected until the window ends and the counter is reset. The set threshold, that is, the fixed window value, is one of the key parameters of the algorithm, which determines the maximum number of requests that the system can handle in each time window.

[0078] In another optional embodiment, an ambient light evaluation model is provided in the information management subsystem, and the ambient light evaluation model mainly includes an ambient brightness analysis model and a monitoring image optimization model.

[0079] In order to scientifically adjust the parameters and working modes of relevant equipment and devices in the intelligent management system for safe operations on highways to adapt to different actual environmental conditions on highways, an environmental lighting evaluation model is established in this embodiment. Based on this, the ambient lighting conditions of the highway at different times can be evaluated, which is conducive to ensuring that different equipment in the system can operate stably under various natural environmental conditions, further improving the availability and applicability of the intelligent management system for safe operations on highways.

[0080] The above ambient brightness analysis model needs to satisfy the following relationship:

[0081]

[0082] in, Indicates the luminous brightness of the monitoring environment. represents the average illumination of the surveillance image, Indicates the transmittance of the monitoring equipment. Indicates the shooting distance of the monitoring device. Indicates the focal length of the monitoring device's lens. Indicates the angle between the off-axis principal ray and the optical axis during monitoring.

[0083] Monitoring the luminous brightness of the environment refers to the process of quantitatively measuring the brightness of the light emitted by the light source or the surface of the illuminated object in the highway environment.

[0084] The average illumination of a surveillance image refers to the average value of the luminous flux received per unit area in the surveillance scene. It is an important parameter for measuring the light level of the surveillance environment. The calculation of the average illumination can be based on the contribution of all light sources in the surveillance scene, including but not limited to natural light and artificial light, and their reflection on the surface of the object being photographed.

[0085] The transmittance of monitoring equipment in the system refers to the proportion of light that the monitoring equipment, such as the camera lens, allows to penetrate its surface and reach the image sensor. It is one of the important indicators to measure the optical performance of monitoring equipment. It is usually expressed as a percentage. The transmittance directly affects the clarity and brightness of the monitoring image.

[0086] The shooting distance of a monitoring device refers to the maximum distance at which the monitoring device can clearly capture the target scene or object. The above distance is affected by many factors, including but not limited to the lens size, resolution, sensor type, light conditions, and lens quality of the monitoring device. In addition, the shooting distance of the monitoring device is also affected by other factors, including the installation location, angle, environmental factors, and reflective characteristics of the target object of the monitoring device.

[0087] The focal length of the monitoring equipment lens refers to the distance from the optical center point of the lens to the imaging sensor of the camera, or the vertical distance from the optical center of the lens or lens group to the focal plane when an infinitely distant scene forms a clear image on the focal plane through the lens or lens group. It determines key factors such as the image size, field of view angle and depth of field of the system monitoring camera.

[0088] The angle between the off-axis principal ray and the optical axis during monitoring refers to the angle formed between the off-axis ray and the optical axis, that is, the light that does not propagate along the optical axis in the intelligent traffic monitoring subsystem. After entering the lens of the monitoring device, the above-mentioned light will undergo a series of refraction and focusing processes, and finally form an image on the imaging sensor. In the actual application of the monitoring equipment, the angle between the off-axis principal ray and the optical axis has an important influence on the imaging quality. When the angle is too large, it will cause blurring, distortion or deformation of the edge of the image, thereby affecting the accuracy and reliability of the output information of the monitoring system.

[0089] In order to further improve the clarity and readability of monitoring images in the intelligent management system for highway safety operations, and thereby enhance the accuracy and reliability of the monitoring system, the embodiment combines relevant learning algorithms, traditional image processing methods, and model training and optimization techniques to establish a monitoring image optimization model to improve the clarity and readability of monitoring images, and thereby enhance the stability and reliability of the monitoring system.

[0090] The above surveillance image optimization model satisfies the following relationship:

[0091] ,

[0092] in, represents the normalized grayscale of the pixel with grayscale j on the initial monitoring image on the transformed image, j represents the initial image pixel, represents the number of pixels with gray level j on the initial image, Represents the total number of pixels with different gray levels on the initial image, Represents the pixel grayscale level of the image.

[0093] The normalized grayscale of the pixel with grayscale j on the initial monitoring image on the transformed image refers to the grayscale value of the pixel after being processed by grayscale normalization technology. Grayscale normalization is an important technology in digital image processing, which can remap the grayscale value of the system monitoring image to a new range, usually 0 to 255 or other specified ranges, thereby improving the quality of highway monitoring images and making them more suitable for specific application requirements and intelligent management tasks.

[0094] Initial image pixels refer to the state or value of each pixel in the original image before the image processing or computer vision task begins. The relevant pixels constitute the cornerstone of the monitoring image, and the others together carry all the information of the image, including but not limited to the color, brightness, contrast, etc. of the image.

[0095] The number of pixels with grayscale i on the initial image refers to the total number of all pixels with grayscale values ​​equal to i in the unprocessed initial surveillance image. The grayscale value is an integer between 0 and a maximum value, which represents the brightness or darkness of the pixel, and helps to understand and optimize the brightness distribution, contrast and other characteristics of the surveillance image.

[0096] In the process of image processing, the grayscale distribution of the image can be understood by counting the number of pixels at each grayscale level, which can be presented in the form of a histogram, where the horizontal axis of the histogram represents the grayscale level and the vertical axis represents the number of pixels at the grayscale level.

[0097] The total number of pixels of different gray levels in the initial image is the sum of the number of pixels at all gray levels. The embodiment can be implemented by traversing each pixel point of the image and counting its gray value.

[0098] The grayscale level of an image pixel refers to the number or level of grayscale values ​​of pixels in the image. Grayscale is a measure of image brightness, which can represent a continuous change from black to white. Each pixel in a grayscale image has a grayscale value, and the relevant value determines the brightness of the pixel in the monitoring image. In an optional embodiment, the number of grayscale levels has an important influence on the clarity and detail of the image. The more grayscale levels the image can express, the richer the brightness levels, so that the details and textures in the image can be more accurately reflected. On the contrary, images with fewer grayscale levels will lose brightness levels, causing the image to look blurred or lack details. During the processing and analysis of the monitoring image, the system selects appropriate image processing algorithms and parameters to optimize the visual effect of the image and extract useful information. This is conducive to evaluating image quality and comparing the practical performance of different images.

[0099] In another optional embodiment, the above-mentioned data anomaly determination model is used to obtain the anomaly detection result of the initial monitoring information; the feature information of the initial monitoring information is obtained based on the information feature recognition model; the ambient brightness conditions of the highway are obtained through the above-mentioned ambient brightness analysis model; and the optimized monitoring image information is obtained based on the above-mentioned monitoring image optimization model.

[0100] In the embodiment, the data anomaly determination model, the environment brightness analysis model and the monitoring image optimization model work together to achieve intelligent management and optimization of the highway monitoring system.

[0101] The data anomaly determination model performs anomaly detection on the initial monitoring information. The initial monitoring information includes but is not limited to the traffic volume, vehicle speed, traffic incidents, etc. on the highway. The information management subsystem receives and analyzes the monitoring information of different monitoring time intervals. The above data anomaly determination model can identify abnormal data that does not conform to the normal pattern, such as a sudden increase in traffic volume, abnormally low vehicle speed or frequent traffic incidents. The abnormal detection situation is further determined based on the matching number analysis results, which helps the subsequent intelligent dispatching subsystem to trigger alarms, initiate emergency responses or notify relevant personnel for processing.

[0102] The information feature recognition model comprehensively considers factors such as the characteristics of information in different monitoring time intervals, the task requirements of data management, and the operating target areas of highways, analyzes and extracts feature information of the initial monitoring information, and mines useful information and knowledge from a large amount of monitoring data. This helps the subsequent intelligent scheduling subsystem to identify patterns of data such as images, sounds, and texts, and mine useful information and knowledge from a large amount of data to improve the overall accuracy and generalization ability of the system, and provide decision makers with data-based recommendations and predictions.

[0103] The monitoring image optimization model mainly optimizes the monitoring images at different monitoring times in real time through the environmental brightness analysis model and the monitoring image optimization model.

[0104] The environmental brightness analysis model is mainly used to analyze the environmental brightness of the highway within any monitoring time interval. This is achieved by analyzing the image data captured by the surveillance camera, especially the grayscale information of the image. The above environmental brightness analysis model can evaluate the current lighting conditions, such as day, night, dusk or dawn. The subsequent intelligent scheduling subsystem can further adjust the parameters of the monitoring system according to the environmental brightness, such as the camera's exposure time and gain, to ensure that high-quality monitoring images can be obtained under different lighting conditions, further ensuring the effective operation of the intelligent management system for highway safety operations and green energy-saving development.

[0105] The monitoring image optimization model can improve the quality of monitoring images at different monitoring times, which is beneficial for image enhancement, denoising, sharpening, color correction, etc. It can also automatically adjust the camera's viewing angle, focal length or image enhancement algorithm to capture and display abnormal events more clearly. At the same time, the image is further processed based on the extracted feature information combined with the monitoring image optimization model, including image sharpening, color correction, contrast adjustment, etc., to obtain the optimized monitoring image information, further ensuring that the image remains clear and easy to observe under different lighting conditions.

[0106] To sum up, in this embodiment, the information management subsystem integrates the data anomaly judgment model, the information feature recognition model, the environmental brightness analysis model and the monitoring image optimization model to obtain the target monitoring information of the highway, thereby realizing the intelligent management and optimization of the monitoring information of the highway in different time periods, which not only improves the overall accuracy and reliability of the system, but also enhances the system's ability to adapt to different working environments and actual conditions.

[0107] Furthermore, the method for obtaining target monitoring information of the highway in the present embodiment is only an optional condition of the present invention. In one or some other embodiments, it can be adjusted according to the specific supporting facilities of the information management subsystem and the environmental conditions of the highway. The method for obtaining monitoring information can be adjusted according to the actual situation, and the equipment configuration and monitoring strategy can be optimized, unnecessary waste of resources can be avoided, the monitoring frequency can be reduced or the equipment power consumption can be reduced to save resources and energy, so that the system has higher cost performance and economic benefits.

[0108] S3. The above intelligent dispatching subsystem formulates a safe dispatching plan for the expressway based on the target monitoring information. The specific implementation contents are as follows:

[0109] The above intelligent dispatching subsystem can receive the system's abnormal detection results, feature information, ambient brightness conditions and optimized monitoring image information, and formulate a safe dispatching plan for the highway based on the relevant information. The specific contents are as follows:

[0110] The embodiment also provides a smart identification device integrating multi-dimensional identification signs in the intelligent scheduling subsystem. The above device has a unique design concept and functional configuration, which is conducive to the realization of an intelligent management system for safe highway operations and improves the safety and operating efficiency of highway operations and management effects.

[0111] The smart identification device in the embodiment adopts a portable structure design and a foldable structure, which is easy to carry and saves space. The main body material is made of lightweight and strong aluminum, and the weight is controlled at about 8 kg, which helps to ensure the portability and durability of the device. The appearance of the above device is simple and clear. For details of the device, please refer to Figure 2 Indicates the smart identification device in an unfolded state and the smart identification device in a folded state.

[0112] In terms of functional configuration, the multi-dimensional identification device integrates key components such as flashing warning lights, LED display screens, positioning devices, communication units, and lithium batteries. The above components are cleverly integrated through embedded installation, which not only meets the basic functional requirements of existing warning devices, but also provides 12V / 5V power supply interfaces and network communication interfaces, making it possible to expand functions such as mobile monitoring and audio broadcasting.

[0113] The above-mentioned multi-dimensional identification and marking device has a wide range of applications and is suitable for a variety of working motor vehicles such as cars and pickup trucks. During the operation on the highway, it can be flexibly deployed at the front end, middle section (for longer working sections) and end of the highway operation according to the needs of different sections and different times. Its continuous working time can reach more than 8 hours, which fully meets the needs of long-term operations.

[0114] In addition to the basic warning function, the above-mentioned multi-dimensional identification and sign device also integrates a variety of firmware functions such as high-brightness flashing lights, construction signs, reflective signs, LED electronic screens and voice-controlled hardware. The ingenious layout of related functions and mechatronic design realize the integration of multiple device functions, effectively reducing the labor intensity of on-site workers, improving work efficiency and shortening operation time.

[0115] At the same time, the combined warning method of sound and light strobe and LED variable electronic screen can more effectively attract the attention of relevant personnel on the highway, reduce the confusion and misunderstanding caused by the large number and variety of firmware, and thus speed up work efficiency. In addition, by expanding the audio broadcast function, the device can also provide real-time voice reminders and guidance, strengthen the ability and level of collaboration, and achieve the goal of rapid processing.

[0116] In summary, the multi-dimensional identification mark added in the embodiment provides a strong guarantee for the safety and efficiency of highway operations. The performance parameters of the multi-dimensional identification mark device are as follows:

[0117] Flashing warning light:

[0118] The power supply adopts 12-24V DC power supply to ensure stable power supply.

[0119] The strobe effect mainly includes alternating flashing of red, blue, white and yellow lights, with a brightness of over 5,000 lumens, and a significant warning effect.

[0120] The waterproof performance has outdoor waterproof function and can adapt to various adverse weather environments on highways.

[0121] LED display device:

[0122] The module type adopts P4 full-color outdoor waterproof module with bright colors and outstanding visual effects.

[0123] The display area is set to 512*256 mm, which can provide sufficient space for information display.

[0124] The built-in function has a built-in asynchronous card that supports independent content playback without relying on external devices.

[0125] Communication unit:

[0126] The network connection method includes a built-in 4G wireless router to achieve high-speed and stable network connection.

[0127] The positioning function is equipped with a GPS positioning system to obtain the device location information in real time.

[0128] Power endurance:

[0129] The power supply specification is 12V DC power supply.

[0130] The battery capacity is 38Ah large-capacity battery, ensuring long-term use.

[0131] Extension interface:

[0132] The DC interface provides two 12V DC power interfaces to meet the power supply needs of various devices.

[0133] USB port is equipped with a USB port for convenient data transfer and charging.

[0134] The network interface provides two RJ45 network interfaces to support network connection and data transmission.

[0135] Material and size design:

[0136] The material is mainly made of high-quality aluminum, which is light and durable.

[0137] The unfolded multi-dimensional identification sign in the embodiment can provide sufficient display and warning space; the folded multi-dimensional identification sign is easy to carry and store.

[0138] Based on this, it can be seen that the multi-dimensional identification and sign device in the intelligent dispatching subsystem has scientific performance parameters and reasonable design, and provides efficient and reliable warning and display functions for the intelligent management of highway safety operations. Furthermore, the multi-dimensional identification and sign device configured in the intelligent dispatching subsystem in this embodiment is only an optional condition of the present invention. In one or some other embodiments, the specific setting standards of the identification and sign device can be flexibly adjusted according to the safety management needs of the highway. The safety management needs of the highway vary depending on various factors such as region, time period, traffic flow, weather conditions, etc. In the embodiment, the setting standards of the identification and sign device can be flexibly adjusted, which helps to ensure that the device can play the best effect in different situations and meet the actual safety management needs.

[0139] The contents of the highway safety dispatching plan formulated in the embodiment are as follows:

[0140] The intelligent dispatching subsystem can receive information from multiple sources, including but not limited to the initial monitoring information of the highway output by the intelligent traffic monitoring subsystem and the target monitoring information of the highway output by the information management subsystem. The intelligent dispatching subsystem mainly performs detection and dispatch based on the monitoring equipment, management equipment, operating equipment, etc. from different source information systems, and can also visualize and dynamically adjust the information in different monitoring intervals.

[0141] 1. Perform necessary maintenance and optimization on the monitoring, management and operating equipment involved in the system based on the anomaly detection results.

[0142] The intelligent dispatching subsystem can receive and analyze the abnormal detection information provided by the intelligent traffic monitoring subsystem in real time. The above abnormal information includes but is not limited to traffic accidents, vehicle failures, pedestrian illegal intrusion information, etc. at any management point. Once an abnormal situation is detected in combination with the system's target monitoring information, the intelligent dispatching subsystem will quickly trigger the emergency handling process and perform timely maintenance and optimization operations on unstable or inaccurate monitoring equipment, including equipment calibration to ensure accuracy, troubleshooting to eliminate potential problems, and software updates to improve performance, etc., so as to keep the monitoring, management and operation equipment in an efficient and stable operating state at all times, thereby providing continuous and accurate monitoring data support.

[0143] 2. Visualize and optimize system information based on feature information.

[0144] The intelligent dispatching subsystem visualizes the information of different monitoring management points in different time intervals based on the characteristic information output by the information management subsystem. The above characteristic information constitutes a data network of different management points, covering various traffic parameters of different management points, including but not limited to key data such as vehicle type, driving speed, and direction of travel.

[0145] The system can capture and process the characteristic information of different management points in real time, and transform the information into intuitive and easy-to-understand graphics, images or animations through advanced visualization technology. In an optional embodiment, the traffic congestion status of each management point is clearly displayed through a color-coded map, with red representing congestion and green representing smooth traffic; dynamic trajectory lines are used to track and display the driving paths of vehicles at different management points to help analyze the characteristics and potential bottlenecks of traffic flow; through charts and statistical information of characteristic information, in-depth understanding of the vehicle type, speed and flow distribution of different management points on the highway, as well as the impact of traffic flow between different management points, can be obtained.

[0146] In addition, the intelligent dispatch subsystem can also combine key data such as highway maintenance status and management point location information with visual display. The maintenance status can be presented by marking the maintenance area, estimated completion time and other information on the map, while the management point location can be displayed through precise geographic location markers. The information integration of different management points enables relevant personnel to fully understand the actual situation of different management points and quickly identify potential safety hazards and traffic problems.

[0147] Based on this, highway-related personnel can obtain and process traffic information more intuitively and efficiently, and make decisions quickly, whether it is adjusting the control strategy of traffic lights or optimizing highway maintenance plans, thereby improving the efficiency and effectiveness of highway safety management. At the same time, the visualization display function of the intelligent scheduling subsystem also provides strong technical support for traffic planning, design and management, which helps to promote the continuous improvement and optimization of highway traffic systems.

[0148] 3. The intelligent scheduling subsystem implements dynamic equipment tuning strategies based on ambient brightness and monitoring image information.

[0149] The intelligent dispatching subsystem has demonstrated its high intelligence and adaptability in the field of highway and traffic management. It can dynamically adjust the multi-dimensional identification devices of different management points according to the ambient brightness and optimized monitoring image information.

[0150] The intelligent dispatching subsystem will receive the environmental brightness analysis information and optimized monitoring image information output by the information management subsystem in real time. The above-mentioned relevant information is the basis for ensuring that various traffic signs and warning devices can play the best effect under different lighting conditions. In an optional embodiment, when one of the management points is at night or encounters severe weather such as haze, heavy rain, etc., the intelligent dispatching subsystem will automatically increase the brightness of the flashing warning lights and LED display screens of the multi-dimensional identification and sign devices based on the environmental brightness analysis information, ensuring that the driver can clearly identify the warning information even in poor visibility, thereby effectively preventing the occurrence of traffic accidents.

[0151] At the same time, the intelligent dispatch subsystem will make full use of the optimized monitoring image information to accurately adjust the warning information on the electronic screen, including dynamically updating the warning content according to the traffic flow characteristics, vehicle type, speed and other visual feature information of the monitoring intervals of different management points to ensure the accuracy and timeliness of the information. In an optional embodiment, when the management point is in peak traffic or congestion occurs on a specific road section, the intelligent dispatch subsystem can instantly adjust the electronic screen to display key information such as the road conditions ahead and detour suggestions, guide the driver to reasonably plan the driving route, and effectively alleviate traffic pressure.

[0152] In addition, the intelligent dispatching subsystem also has the ability to perceive environmental noise and traffic flow, and can adjust the extended audio broadcast volume and playback content of the system's multi-dimensional identification and sign devices accordingly based on relevant factors. In noisy sections or during busy traffic hours, the device's broadcast volume is automatically increased to ensure that warning information can be clearly conveyed to every driver. At the same time, according to the changes in traffic flow output by the system, the broadcast content of different management points can be flexibly adjusted, and practical information such as real-time road conditions and safety tips at different management points can be used to further improve the level of intelligent traffic management.

[0153] The intelligent dispatching subsystem simultaneously receives information output by different subsystems, analyzes in real time the monitoring environment brightness, monitoring image information, environmental noise, traffic flow and other information of different management points, and dynamically adjusts the multi-dimensional identification and sign devices, providing more accurate and efficient support for highway and traffic management.

[0154] Furthermore, in this embodiment, the method of formulating a highway safety dispatch plan through an intelligent dispatching subsystem is only an optional condition of the present invention. In one or some other embodiments, the method of formulating a highway safety dispatch plan can be changed and optimized according to the requirements of intelligent management of safe operations of the highway and the actual conditions of the system, which can improve the adaptability of the system, operational efficiency, and promote technological innovation and development and other benefits.

[0155] S4. The above-mentioned safety warning and rescue subsystem combines the target monitoring information and the safety dispatch plan to analyze and predict the safe operation status of the expressway, so as to achieve safety warning and timely rescue of the expressway. The specific implementation contents are as follows:

[0156] In order to realize the safety monitoring, intelligent management and scientific operation of expressways, further, a safety warning device and a remote communication device are configured in the above-mentioned safety warning and rescue subsystem; and the operation status of the expressway is analyzed and predicted based on the safety warning device, the remote communication device, the target monitoring information and the safety dispatch plan, so as to realize the safety warning and timely rescue of the expressway.

[0157] In an optional embodiment, in order to achieve safe monitoring, intelligent management and scientific operation of highways, the safety warning and rescue subsystem is given a vital role. The safety warning and rescue subsystem is not only equipped with advanced safety warning devices and remote communication devices, but also makes full use of the target monitoring information and safety scheduling plans output by other subsystems to conduct in-depth analysis and accurate prediction of the operating conditions of the highway, thereby ensuring the safety warning and timely rescue capabilities of the highway.

[0158] Configuration of safety warning device.

[0159] The safety warning device is the core component of the safety warning and rescue subsystem. It is mainly responsible for receiving various safety parameters of different management points on the highway in real time, including but not limited to vehicle speed, vehicle distance, traffic flow, weather conditions, location information, etc. Based on this, it can quickly identify potential safety hazards at different management points, such as speeding, close vehicle distance, traffic congestion, etc., and issue warning signals in time.

[0160] Application of telecommunication devices.

[0161] The remote communication device provides a powerful information transmission capability for the subsystem, which can transmit the monitoring information, analysis information and warning information of different subsystems to the system management center in real time. At the same time, it can also receive the command signal from the system management center and transmit the relevant information to the person in charge of different management points, such as adjusting traffic lights, starting rescue vehicles, etc., which helps to ensure that emergency rescue operations or emergency adjustment behaviors on highways can be carried out quickly and accurately.

[0162] Integration of target monitoring information.

[0163] The safety warning and rescue subsystem integrates information from multiple subsystems to form a comprehensive highway operation status database. The relevant information provides data support for analyzing and predicting the safe operation status of highways.

[0164] Implementation of safe dispatch plans.

[0165] According to the target monitoring information and the warning signal issued by the safety warning device, the safety warning and rescue subsystem can automatically display the relevant safety dispatch plan information based on the above warning signals. The above plan information includes specific measures such as adjusting traffic lights, guiding vehicles to detour, and starting rescue vehicles. It aims to ensure the accurate implementation and timely development of safety dispatch plans at different management points, which is conducive to timely eliminating safety hazards on highways and ensuring the smooth flow and safety of highways.

[0166] Analysis and prediction of operating conditions:

[0167] The safety warning and rescue subsystem uses advanced algorithms and models to conduct in-depth analysis and accurate prediction of the integrated target monitoring information and safety dispatch plans. By analyzing the changing trends of parameters such as traffic flow and vehicle speed, the subsystem can predict traffic conditions in the future and provide decision support for managers.

[0168] Safety warning and timely rescue.

[0169] Once the safety warning and rescue subsystem finds potential safety hazards or traffic accidents, it will immediately activate the safety warning mechanism and send warning signals to the management center and the heads of different management points through remote communication devices. At the same time, according to the safety dispatch plan, the subsystem will alert relevant rescue vehicles and personnel to go to the accident site and launch rescue operations.

[0170] In summary, the safety warning and rescue subsystem configures safety warning devices and remote communication devices, integrates target monitoring information and safety dispatch plans, conducts in-depth analysis and accurate prediction of the operating conditions of the highway, realizes safety warning and timely rescue of the highway, improves the safety management level of the highway, and provides a safer and more convenient traffic environment.

[0171] Furthermore, in the present embodiment, the specific implementation steps and related operation modes of the safety warning and rescue subsystem are merely an optional condition of the present invention. In one or some other embodiments, the safety warning and rescue subsystem may be modified and optimized according to the intelligent management requirements and the specific circumstances of the highway management system. Different highway management systems and intelligent management requirements are different. Modification and optimization of the safety warning and rescue subsystem may make it better adapt to various specific needs and realize efficient and accurate safety management and intelligent operation of the system.

[0172] In this embodiment, the intelligent management system for highway safety operations integrates advanced hardware components and efficient data analysis technology. The system includes core equipment such as intelligent LED display screens, precise positioning devices, all-round video surveillance, and emergency broadcasting. The relevant hardware elements use the wireless transmission technology provided by the operator to achieve real-time and stable transmission of monitoring information from different management points on the highway to the management background. On this basis, the system implements a system information management model to ensure effective identification, feature extraction, and environmental analysis of different management points. At the same time, the system can ensure the security, controllability, and personalized customization needs of information transmission and storage.

[0173] The intelligent management system for highway safety operations provides a variety of online full-chain management service functions, including but not limited to: real-time online monitoring, so that the operating status of different management points is clear at a glance; accurate positioning and tracing functions, which facilitate tracking the specific locations of highway vehicles and operation points; intelligent alarm linkage mechanism, which can respond quickly in emergency situations; efficient dispatching and command functions, optimizing the allocation and dispatch of system resources; comprehensive plan management, ensuring that actions can be taken quickly and orderly in response to highway emergencies; convenient remote control functions, realizing remote control and management of the management site; intelligent dispatching system, which can ensure the stable operation of system equipment; flexible online upgrade functions, so that the system is always up to date; information from the information management subsystem provides strong data support for decision-making; safety warning and rescue subsystems help highway managers make more scientific and reasonable decisions.

[0174] Based on this intelligent management system for highway safety operations, integrated and intelligent supervision and management are realized, reflecting the intelligence, convenience and specialization of the intelligent management system for highway safety operations, and providing a solid guarantee for the safety, intelligence and scientific management and operation of highways.

[0175] See also Figure 3 In an optional embodiment, the present invention further provides an intelligent management system for safe operation of highways, which includes a traffic intelligent monitoring subsystem, an information management subsystem, an intelligent dispatching subsystem, and a safety warning and rescue subsystem. The above-mentioned traffic intelligent monitoring subsystem, information management subsystem, intelligent dispatching subsystem, and safety warning and rescue subsystem are interconnected to implement the specific steps of the relevant embodiments provided by the present invention. The intelligent management system for safe operation of highways of the present invention has a complete structure, objective stability, and improves the overall applicability and practical application ability of the present invention.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. The intelligent management system for highway safety operations is characterized by: The intelligent management system for highway safety operations includes: a traffic intelligent monitoring subsystem, an information management subsystem, an intelligent dispatching subsystem and a safety warning and rescue subsystem; Using the intelligent traffic monitoring subsystem to monitor the expressway in real time and obtain initial monitoring information of the expressway; Constructing a system information management model in the information management subsystem, wherein the information management subsystem processes the initial monitoring information using the system information management model and obtains target monitoring information of the expressway; The intelligent dispatching subsystem formulates a safety dispatching plan for the expressway based on the target monitoring information; The safety warning and rescue subsystem combines the target monitoring information and the safety dispatching plan to analyze and predict the safe operation status of the expressway, so as to achieve safety warning and timely rescue of the expressway; The constructing of the system information management model in the information management subsystem includes: Setting a data anomaly determination model in the information management subsystem; Setting an information feature recognition model in the information management subsystem; Setting an ambient light assessment model in the information management subsystem; Constructing a system information management model by combining the data anomaly determination model, the information feature recognition model and the ambient light assessment model; The setting of the data anomaly determination model in the information management subsystem includes: Establish a data anomaly determination model based on initial monitoring information; The data anomaly determination model satisfies the following relationship: ， in, represents the number of matching times that the traffic intelligent monitoring subsystem transmits information to the information management subsystem within the time interval t, Indicates the number of information matches recorded by the information management subsystem in the tth time interval, Indicates the preset reference value of the number of information matches. Indicates other situations where the number of information matches recorded by the information management subsystem within the time interval t does not meet the reference value of the number of information matches; The setting of the information feature recognition model in the information management subsystem includes: Establish an information feature recognition model based on the needs of the intelligent management system for highway safety operations; The information feature recognition model satisfies the following relationship: ， in, The feature vector representing the input information in the time interval t, Represents the relative weight value of historical information within the time interval t, Represents the mean vector of input information in the time interval t, represents the eigenvector matrix in the time interval t, Indicates the time interval corresponding to obtaining the initial monitoring information. represents the residual vector matrix corresponding to the t time interval, Represents the fixed window value of the information management subsystem; The setting of the ambient light evaluation model in the information management subsystem includes: An ambient light evaluation model is set in the information management subsystem, wherein the ambient light evaluation model includes an ambient brightness analysis model and a monitoring image optimization model; The ambient brightness analysis model satisfies the following relationship: ， in, Indicates the luminous brightness of the monitoring environment. represents the average illumination of the surveillance image, Indicates the transmittance of the monitoring equipment. Indicates the shooting distance of the monitoring device. Indicates the focal length of the monitoring device's lens. Indicates the angle between the off-axis principal ray and the optical axis during monitoring; The monitoring image optimization model satisfies the following relationship: ， in, represents the normalized grayscale of the pixel with grayscale j on the initial monitoring image on the transformed image, j represents the initial image pixel, Indicates that the grayscale on the initial image is The number of pixels, Represents the total number of pixels with different gray levels on the initial image, Represents the pixel grayscale level of the image.

2. The intelligent management system for highway safety operations according to claim 1 is characterized in that: The information management subsystem processes the initial monitoring information using the system information management model and obtains target monitoring information of the expressway, including: Obtaining anomaly detection results of initial monitoring information using the data anomaly determination model; Obtaining feature information of initial monitoring information according to the information feature recognition model; Obtaining the ambient brightness condition of the highway through the ambient brightness analysis model; The optimized monitoring image information is obtained based on the monitoring image optimization model.

3. The intelligent management system for highway safety operations according to claim 2 is characterized in that: The intelligent dispatching subsystem formulates a safe dispatching plan for the expressway based on the target monitoring information, including: The intelligent dispatching subsystem receives the abnormality detection result, the characteristic information, the ambient brightness condition and the optimized monitoring image information, and formulates a safety dispatching plan for the expressway.

4. The intelligent management system for highway safety operations according to claim 3 is characterized in that: The safety warning and rescue subsystem combines the target monitoring information and the safety dispatching plan to analyze and predict the safe operation status of the expressway to achieve safety warning and timely rescue of the expressway, including: Configure a safety warning device and a remote communication device in the safety warning and rescue subsystem; The operation status of the expressway is analyzed and predicted according to the safety warning device, the remote communication device, the target monitoring information and the safety dispatching plan, so as to realize safety warning and timely rescue of the expressway.

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