High-speed digital twin monitoring system

Abstract

The invention discloses a high-speed digital twinborn monitoring system, which comprises a high-precision map surveying and mapping system and a holographic fusion digital twinborn application system, surveying and mapping data and surveying and mapping equipment are uniformly managed through characterization digital codes, and the characterization digital codes are subjected to data transmission by utilizing an independent transfer function; according to the method, digital intelligent evaluation of surveying and mapping equipment and surveying and mapping data of the surveying and mapping equipment is realized, an evaluation result is fed back to a holographic fusion digital twin system application, a model corresponding to a physical entity is constructed in a virtual space, and real-time monitoring, prediction and optimization of the physical entity are realized; on the basis of a digital information model and a simulation model which are obtained by physical modeling formed by digital twin system modeling, a data acquisition system is used for acquiring various data in the physical modeling in real time, and after feedback, a weighted assignment comparison method is used for obtaining the risk condition of each road section on the highway; and risk assessment is carried out through visual weighted assignment.

Description

Technical Field

[0001] The present invention relates to the technical field of digital road management, and in particular to a high-speed digital monitoring twin system. Background Art

[0002] With the development of social economy and the construction of national infrastructure, the mileage of my country's expressway network has increased rapidly, and the traffic volume on expressways has continued to increase. However, the problem of insufficient traffic management efficiency on expressways has gradually emerged. Traditional single-mode transportation modeling often makes it difficult to fully consider the mutual influence and correlation between different expressways.

[0003] For modern, digital highway modeling and construction business applications, the following requirements need to be met:

[0004] (I) Global perception needs: the need for intelligent, all-time, and all-weather identification and monitoring of vehicles, roads, environments, road structures, and events in all scenarios of roads, bridges, and interchanges;

[0005] (II) Analysis and forecasting needs: the need to analyze traffic situations and forecast traffic flows under daily operations, major holidays, severe weather, traffic accidents, etc.;

[0006] (III) Early warning and coordination needs: the need to predict and warn abnormal events, coordinate and link them, and take integrated and efficient measures to deal with emergency events;

[0007] (IV) Smart control requirements: Based on actual application scenarios, full-time and all-round vehicle dynamic tracking, congestion status monitoring, and event alarm feedback can be achieved from the “macro road network to micro lane level”.

[0008] Digital modeling technology is a technology that uses digital means to comprehensively describe and physically model the characteristics, behaviors, formation processes and performance changes of physical entities. However, after studying the currently available related technologies and papers, it is known that the current digital vision of the integrated three-dimensional transportation network still has many shortcomings in visualization, logical control consistency, data acquisition authenticity, data analysis feedback timeliness and data processing precision. For example, the "Highway Speed ​​Warning Method in Extreme Rainy Weather Based on Digital Twins" disclosed in Chinese patent documents has a publication number of CN202310172681.9, which includes the following steps: S1, road state detection based on a vehicle-mounted three-dimensional laser pavement detection system; S2, real-time measurement and transmission of rain parameters based on microwave detection technology; S3, establishment of a digital information model based on multi-source data fusion; S4, establishment of data interaction between the digital information model and simulation software; S5, simulation analysis of the adhesion coefficient model based on multi-source data fusion; S6, simulation and deduction of the maximum safe driving speed under different working conditions; S7, real-time warning of vehicle speed based on digital twins.

[0009] The above scheme is based on the real-time vehicle speed warning mechanism and method of digital twin, which can realize accurate real-time warning of vehicle speed under different working conditions under extreme rainy weather on highways, making up for the lack of theoretical and real-time speed limit values ​​on highways. However, this scheme can not fully meet the complex vehicle types and speed requirements of different vehicles on highways, and cannot provide speed warning and digital modeling feedback for overtaking and hazardous chemical vehicles. Therefore, the emergence of a digital monitoring system that can perform digital map modeling and digital twin modeling for complex road conditions, vehicle conditions and vehicle types is of great significance to the improvement of driving safety on highways. At the same time, high-precision map modeling and digital twin modeling of the entire line provide an important foundation for realizing digitalization, intelligent management, warning and data backtracking of highways. Summary of the invention

[0010] In view of the shortcomings of the prior art, the present invention provides a high-speed digital monitoring twin system, which provides support for data collection, data management and data processing of other map services through the modeling of high-precision digital maps. At the same time, through the application of the holographic fusion digital twin system, it can provide visual data support for vehicle users along the entire highway, ensuring rapid early warning and real-time feedback of various events on the highway.

[0011] The present invention discloses a high-speed digital monitoring twin system, which includes a high-precision map surveying and mapping system and a holographic fusion digital twin application system, specifically including:

[0012] The high-precision map surveying and mapping system is composed of a surveying and mapping acquisition subsystem, a data calibration subsystem, and a map generation and service subsystem. The surveying and mapping acquisition system performs digitization processing on surveying and mapping tools, integrates and adds all surveying and mapping equipment within the surveying and mapping range to obtain digital codes, and the digital codes correspond to a digital icon and a string of feature codes for each independent surveying and mapping equipment. The feature codes are ordered strings, and the ordered strings include a start string, an intermediate string, and an end string. The start string and the end string of the feature codes of different surveying and mapping equipment that have an electrical connection relationship or a functional connection relationship have the same character segment, and the intermediate string includes a device information code and a device acquisition data format code;

[0013] The data calibration subsystem includes road object element management, map attribute management, automatic calibration, manual calibration and map learning and training functions. The data calibration subsystem performs object element management and data editing on the target data obtained by the surveying and mapping acquisition system, performs feature classification on the data, and performs feature annotation on the classification results and displays the map annotation results, thus forming a complete map feature element measurement and feature calibration display;

[0014] The map generation and service subsystem publishes the map after the measurement of map characteristic elements and the characteristic calibration display, and provides map data services to various business subsystems by providing interfaces or map data.

[0015] The surveying and mapping acquisition subsystem is a multi-source data fusion precision measurement and data acquisition system consisting of surveying and mapping tool management, surveying and mapping data acquisition, surveying and mapping data processing and surveying and mapping data management. The surveying and mapping tool management adds, modifies, deletes and queries the surveying and mapping equipment model, equipment type, equipment usage status and other information through the equipment information management function, equipment acquisition data format agreement function and data equipment interaction mode agreement function. At the same time, it supports the establishment of templates of various data formats and template import and export functions, completes the configuration and switching of various data transmission methods, and facilitates the administrator to choose the appropriate input and output method according to the actual situation; the surveying and mapping data acquisition function uses laser radar to , cameras, inertial measurement units and various unmanned equipment collect and feedback three-dimensional point cloud data in the acquisition environment, accurately depict map contours and terrain features, use cameras to capture the target's visual information, and extract useful geographic information from the visual information through data screening, and integrate and back up the above map contours, map features and target geographic information with the local longitude and latitude coordinates; based on the three-dimensional processing technology of appropriate data, three-dimensional data analysis technology and spatial three-dimensional model construction technology, the three-dimensional modeling processing of appropriate data of high-precision maps is realized, and a breakthrough reduction in the amount of data requested for three-dimensional models is achieved, which improves data loading and rendering performance and enhances user experience.

[0016] The data calibration subsystem performs feature management, attribute management, automatic calibration, manual calibration and map learning and training for various map elements on high-precision maps. It supports users to manage and edit map attributes, define map data characteristically, and enable users to actively classify and query map data. Automatic calibration executes calibration of map elements according to the set calibration strategy, and manual calibration supports users to manually perform additional calibration on required elements. After completing automatic calibration and manual calibration, the map learning and training function of the data calibration subsystem performs characteristic training on data sets such as road object elements, map attributes, and map feature models.

[0017] The high-precision map surveying and mapping system realizes automated data collection through technologies such as drones and satellite remote sensing, which greatly improves the efficiency and speed of data acquisition. Intelligent surveying and analysis of large-scale data sets can provide more accurate data support for subsequent decision-making on the data. Characteristic string encoding of various surveying and mapping equipment is convenient for the subsequent call, processing and backtracking of data collected by various surveying and mapping equipment, and facilitates the management of surveying and mapping data.

[0018] As a further improvement of the present invention, the map generation and service subsystem topologically connects the digital icons of all surveying and mapping equipment based on the topological connection relationship, including:

[0019] If there is a continuous identical part between the end character string of the digital code of the first surveying and mapping device and the start character string of the digital code of the second surveying and mapping device, the input end of the second surveying and mapping device is connected to the output end of the first surveying and mapping device; if there is a continuous identical part between the start character string or the tail of the digital code of the first surveying and mapping device and the second surveying and mapping device, the first surveying and mapping device and the second surveying and mapping device are output-parallel connected or input-parallel connected.

[0020] Using topological connection relationships to perform characterization and continuous management of surveying and mapping equipment can achieve unified management of the entire surveying and mapping equipment system by host systems such as computers. Using start and end strings as computer-readable storage media to continuously store surveying and mapping data can better reflect equipment relevance and data relevance, which is beneficial to the subsequent data processing efficiency and maintenance management of surveying and mapping equipment.

[0021] As a further improvement of the present invention, the interface provided by the map generation and service subsystem is an interface API, and the map generation provides API sharing services to other systems by setting API configuration authorization instructions and configuration validity time; after the other systems pass the access application, map data services are provided through the interface API management function; during the access process of other systems, the data access status is monitored through the interface API management function, and when other systems stop accessing, the API is deactivated through the interface API management function to cut off the counting channel with other systems.

[0022] Using the API interface to share map data provides a standardized access method, which enables the direct use of ready-made interfaces for specific functions and data calls. The modular development method of the API simplifies the additional writing and maintenance of data and improves the stability and efficiency of interface development. At the same time, the API allows users to iterate and upgrade during the process of obtaining map data, so that the front-end application remains up to date and obtains better functions and performance.

[0023] As a further improvement of the present invention, the holographic fusion digital twin application system includes a data acquisition subsystem, a three-dimensional model building subsystem, a model interactive development subsystem and a twin data fusion subsystem;

[0024] The data acquisition subsystem is a data acquisition system that integrates multi-source data, including data acquisition, data processing and data management. It is based on the map data service obtained by the high-precision map surveying and mapping system. It collects map data through corresponding data acquisition equipment, independently digitizes and encodes all independent data acquisition equipment, analyzes the collected data and adds special signal tags to them according to the data analysis results. The special signal tags are ordered strings, which include feature codes, result codes and risk codes. The feature codes are used to store, retrieve, transcode and trace the current map collection data. The result codes are used to display the collection results of the data. The risk codes automatically detect data quality according to the set risk threshold indicators and rules, and provide alarm and exception handling functions.

[0025] The three-dimensional model building subsystem models the structure and attribute information of the actual physical system according to the map data, attributes and object elements analyzed and processed by the data acquisition management subsystem, constructs a digital model, and realizes accurate simulation and emulation of the physical system;

[0026] The model interaction development subsystem realizes interactive operation on the digital twin model by developing an interactive interface and a user interface;

[0027] The twin data fusion subsystem fuses the real-time collected environmental data and system operation data with the digital model, and assigns a transfer function to the collected data obtained by the data acquisition subsystem. The transfer function is based on the input-output parameters of the corresponding data acquisition device to achieve real-time monitoring, data analysis and predictive simulation of the physical system.

[0028] The data acquisition subsystem provides detailed task management, data quality control, data storage and management functions based on the map data service obtained by the high-precision map surveying and mapping system, helping users to achieve an efficient, reliable and safe data acquisition process, and providing high-quality data services for real-time analysis, decision support and business needs of the collected data, greatly improving the convenience of system use; the three-dimensional model establishment subsystem uses BIM technology to model the structure and attribute information of the actual physical system and build a digital model to achieve accurate simulation and simulation analysis of the physical system, and provide reliable data and physical foundation for the subsequent three-dimensional scene construction and traffic simulation visualization based on satellite image data and highway high-precision map data based on the three-dimensional map engine; the model interaction development subsystem develops interactive interfaces and user interfaces to enable users to interact with the digital twin model, such as data query, visualization display, parameter adjustment, etc., to facilitate users to supervise, manage and make decisions on the physical system; the twin data fusion subsystem uses the real-time collected environmental data and system operation data to achieve real-time monitoring, data analysis and predictive simulation of the physical system, providing a scientific basis for decision-making.

[0029] As a further improvement of the present invention, the transfer function realizes real-time monitoring, data analysis and predictive simulation of the physical system based on the input-output parameters of the corresponding data acquisition device, which specifically includes the following steps:

[0030] (A01) collecting and mapping highway data through surveying and mapping equipment, collecting and digitally encoding the surveying and mapping data results, sending the digitally encoded surveying and mapping data to the data calibration subsystem, and forming a highway risk threshold through the data collection results;

[0031] (A02) The data calibration subsystem manages and processes map data elements based on the environmental data sent by the surveying and mapping equipment. Users can add, modify and delete road object elements, and support users to manage and edit map attributes. It also supports users to set calibration strategies, import calibration data, automatically execute calibration results and display calibration results, perform automatic or manual calibration of map elements, and obtain map calibration attribute models;

[0032] (A03) providing a training data import function for the map attribute model obtained in step (A02) to support users in machine learning models;

[0033] (A04) The map generation and service subsystem is mainly responsible for publishing the calibrated maps and providing map services to various business systems by providing interfaces or map data;

[0034] (A05) The highway monitoring risk value of the current map segment is calculated using the machine learning model obtained through step (A03) and the map data service provided by (A04), and the highway monitoring risk value is compared with the highway risk threshold to obtain the highway section monitoring risk assessment result and feed it back to the user interface.

[0035] If the highway monitoring risk value is lower than 50% of the highway risk threshold, it is a low-risk section; if the highway monitoring risk value is 50% to 80% of the highway risk threshold, it is a risky section; if the highway monitoring risk value is higher than 80% of the highway risk threshold, it is a high-risk section.

[0036] An independent transfer function is used to perform an assignment operation on the execution result based on the data execution result of the corresponding data acquisition device. The assignment operation result is numerically compared with the highway risk threshold of the current section to obtain the highway section monitoring risk assessment result, and the assessment result is fed back to the user interface for corresponding risk reminders.

[0037] As a further improvement of the present invention, the data acquisition management subsystem collects and digitally models data on vehicle distance, vehicle lane change frequency, vehicle driving speed and number of hazardous chemical vehicles at road traffic nodes and toll stations, classifies and assigns values ​​to the collected data, performs data processing and risk assessment based on the classification and assignment results, and sends the data processing results and risk assessment results to the twin data fusion subsystem.

[0038] Based on the integrated data and analysis results, decision support is provided to users to help them make more reasonable decisions. The data collected from multiple directions is digitally compared to make the risk assessment results of the current road section more intuitive.

[0039] As a further improvement of the present invention, the risk assessment comprises the following steps:

[0040] (B01) Taking a traffic node or toll station as the starting point and the end point of a data collection section, dividing the data collection section into a plurality of evaluation sections, and recording the number of vehicles on the current evaluation section and the length l of the current evaluation section in real time through a collection device;

[0041] (B02) Setting the collection frequency and setting the risk assessment segmentation threshold T1 through the collection task execution and monitoring functions in the data collection management subsystem;

[0042] (B03) Perform data quality detection through the data quality control function in the data acquisition management subsystem. When the data quality meets the detection standard, upload and store the data, and record the number of vehicles at the current moment as M; when the data quality does not meet the detection standard, recount and send an alarm signal;

[0043] (B04) dividing the number of vehicles M obtained in step (B03) into the number of vehicles M1, M2, ... Ma on a single lane, and collecting the front and rear vehicle distances L1, L2, ... Lb on a single lane, the number of lane changes N1, N2, ... Na of different vehicles on the left and right lanes, the driving speeds S1, S2, ... Sb of different vehicles on a single lane, and the number E1, E2, ... Ea of hazardous chemical vehicles on the entire evaluation single road section, where a is the number of lanes and b is the number of vehicles on a single lane;

[0044] (B05) The vehicle density K on the current assessment section, the vehicle lane change frequency P1 on the left and right lanes, the average driving speed Sn (n = 1, 2...a) of a single lane, and the proportion Q of hazardous chemical vehicles on the entire assessment section are calculated through the data obtained in (B04), and these four assessment data are integrated and weighted to obtain the risk assessment value T2; Where T2 = 0.2K + 0.4P1 + 0.02Sn + 5Q;

[0045] (B06) comparing the obtained T2 with T1, and feeding back data according to the comparison result;

[0046] (B07) feeding back the comparison result obtained in (B06) to the three-dimensional model building subsystem and the twin data fusion subsystem for data analysis and displaying a road safety situation color distribution map;

[0047] (B08) All the evaluated road sections are integrated to obtain and display a color distribution map of the road safety situation of the entire road section.

[0048] Risk assessment is performed through intuitive weighted assignment, and the road section risk assessment results are converted into a road safety event color distribution map in real time. Different colors are used to distinguish the safety risk levels of the road sections, intuitively display the safety situation of the road sections, and promptly discover potential accident risk hazards.

[0049] As a further improvement of the present invention, the application based on the digital holographic fusion digital twin application system includes the following contents:

[0050] (C01) Real-time monitoring of road operation and high-precision restoration of roads through digital twin technology;

[0051] (C02) Use the traffic data collection system to restore vehicles in real scenes, simulate and restore traffic flows, complete vehicle tracking, traffic flow statistical analysis, and realize vehicle operation data monitoring;

[0052] (C03) Through traffic data collection, the traffic facilities and equipment are graphically processed, data-driven simulation is performed in the digital twin platform, and the equipment maintenance database is formed by combining AI big data statistical analysis to predict the future road health and road traffic conditions;

[0053] (C04) Through the combination of road health and traffic conditions with the video surveillance platform, big data can be used for statistical analysis to achieve event prediction and early warning. At the same time, video fusion is performed in the digital twin 3D scene to truly present the on-site situation and provide data and record support for emergency response decision-making;

[0054] (C05) Real-time lane-level simulation positioning of key vehicles in the digital twin scenario, complete the actual monitoring of individual vehicles, and provide visual warnings for abnormal conditions such as speeding and deviation of a single vehicle;

[0055] (C06) Access weather change warnings through digital twin scenarios.

[0056] (C07) The road simulation data, monitoring data, forecast results, decision-making data support and visual warnings obtained from (C01) to (C06) are collated, and digital training is conducted to realize three-dimensional visual drills based on digital twins.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The surveying and mapping data and equipment are uniformly managed through characterized digital coding, and the characterized digital coding is used for data transmission using independent transfer functions, thus realizing the digital intelligent evaluation of surveying and mapping equipment and their surveying and mapping data. The evaluation results are fed back to the holographic fusion digital twin system application, and a model corresponding to the physical entity is constructed in the virtual space, thus realizing real-time monitoring, prediction and optimization of the physical entity.

[0059] 2. Based on the digital information model and simulation model obtained by physical modeling formed by digital twin system modeling, the data acquisition system is used to collect various data in the physical modeling in real time. After feedback, the weighted assignment comparison method is used to obtain the risk situation of each section on the highway. Risk assessment is performed through intuitive weighted assignment, and the section risk assessment results are converted into a road safety event color distribution map in real time. Different colors are used to distinguish the safety risk levels of the sections, intuitively display the safety situation of the sections, and promptly discover potential accident risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a software architecture diagram of the high-precision map system produced based on AI automation in the present invention;

[0061] Figure 2This is the software architecture diagram of the holographic fusion digital twin application system of the present invention;

[0062] Figure 3 It is a flow chart of the high-speed monitoring risk assessment results of the current map segment of the present invention;

[0063] Figure 4 This is a flow chart of the high-speed road section risk assessment method of the present invention;

[0064] Figure 5 The schematic diagram of the process of digital monitoring of surveying and mapping equipment and continuous data management in a high-precision map surveying and mapping system of the present invention;

[0065] Figure 6 It is the security situation color distribution map of the present invention;

[0066] Figure 7 This is a diagram of the digital management interface of traffic simulation of the present invention;

[0067] Figure 8 This is a monitoring simulation diagram for implementing the meteorological monitoring management of the present invention. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 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.

[0069] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0070] The present invention discloses a high-speed digital monitoring twin system, such as Figures 1-2 The following are the software architecture diagrams of the high-precision map system based on AI automated production and the software architecture diagram of the holographic fusion digital twin application system of the present invention, respectively. The system includes a high-precision map surveying and mapping system and a holographic fusion digital twin application system, specifically including:

[0071] The high-precision map surveying and mapping system is composed of a surveying and mapping acquisition subsystem, a data calibration subsystem, and a map generation and service subsystem. The surveying and mapping acquisition system processes the surveying and mapping tools into data, integrates and adds all the surveying and mapping equipment within the surveying and mapping scope to obtain digital codes. The digital codes correspond to a digital icon and a string of feature codes for each independent surveying and mapping equipment. The feature codes are ordered strings, which include a start string, an intermediate string, and an end string. The start string and the end string of the feature codes of different surveying and mapping equipment that have an electrical connection relationship or a functional connection relationship have the same character segment, and the intermediate string includes a device information code and a device acquisition data format code.

[0072] The data calibration subsystem includes road object element management, map attribute management, automatic calibration, manual calibration and map learning and training functions. The data calibration subsystem manages the target data obtained by the surveying and mapping acquisition system and edits the data, performs feature classification on the data, and performs feature annotation on the classification results and displays the map annotation results, thus forming a complete map feature element measurement and feature calibration display;

[0073] The map generation and service subsystem will publish the map that has completed the measurement of map feature elements and the display of feature calibration, and provide map data services to various business subsystems by providing interfaces or map data.

[0074] The surveying and mapping acquisition subsystem is a multi-source data fusion precision measurement and data acquisition system consisting of surveying and mapping tool management, surveying and mapping data acquisition, surveying and mapping data processing and surveying and mapping data management. The surveying and mapping tool management adds, modifies, deletes and queries the surveying and mapping equipment model, equipment type, equipment usage status and other information through the equipment information management function, equipment acquisition data format agreement function and data equipment interaction mode agreement function. At the same time, it supports the establishment of templates of various data formats and template import and export functions, completes the configuration and switching of various data transmission methods, and facilitates the administrator to choose the appropriate input and output method according to the actual situation; the surveying and mapping data acquisition function uses laser radar to , cameras, inertial measurement units and various unmanned equipment collect and feedback three-dimensional point cloud data in the acquisition environment, accurately depict map contours and terrain features, use cameras to capture the target's visual information, and extract useful geographic information from the visual information through data screening, and integrate and back up the above map contours, map features and target geographic information with the local longitude and latitude coordinates; based on the three-dimensional processing technology of appropriate data, three-dimensional data analysis technology and spatial three-dimensional model construction technology, the three-dimensional modeling processing of appropriate data of high-precision maps is realized, and a breakthrough reduction in the amount of data requested for three-dimensional models is achieved, which improves data loading and rendering performance and enhances user experience.

[0075] Embodiment 1

[0076] The ordered string can be implemented using various strings, for example, it can be in the form of a letter starting string + a number middle string + a letter ending string, as shown below: Figure 5 For example:

[0077] The digital code of surveying and mapping equipment 1 is AB-1111-CD;

[0078] The digital code of surveying equipment 2 is EF-2222-GH;

[0079] The digital code of surveying equipment 3 is FG-3333-IJ;

[0080] The digital code of surveying and mapping equipment 4 is BH-4444-KM;

[0081] At this time, if the ordered string adopts the ordered form of letters + numbers + letters, the starting string and the ending string do not contain the digital part. The digital part is used to find the data digitization label or map marking characteristic value obtained by the surveying and mapping equipment during the high-precision map surveying and mapping process, and the surveying and mapping acquisition subsystem can associate the surveying and mapping equipment and the corresponding surveying and mapping data according to the same letter part of the starting string and the ending string.

[0082] After adopting the feature coding, digital topological connection modeling can be realized based on computer string recognition technology and automatic connection technology, and each surveying and mapping equipment can be connected in an associative manner to obtain the connection relationship based on the feature coding, and a digital topological map of all surveying and mapping equipment in the current highway section can be obtained. The topological map is used to classify the equipment data collection, and the relevant data of the highway section can be continuously collected according to the classification, such as traffic flow, highway conditions, weather conditions, section accident status, etc.

[0083] The data calibration subsystem performs feature management, attribute management, automatic calibration, manual calibration and map learning and training for various map elements on high-precision maps. It supports users to manage and edit map attributes, define map data characteristically, and enable users to actively classify and query map data. Automatic calibration executes calibration of map elements according to the set calibration strategy, and manual calibration supports users to manually perform additional calibration on required elements. After completing automatic calibration and manual calibration, the map learning and training function of the data calibration subsystem performs characteristic training on data sets such as road object elements, map attributes, and map feature models.

[0084] The high-precision map surveying and mapping system realizes automated data collection through technologies such as drones and satellite remote sensing, which greatly improves the efficiency and speed of data acquisition. Intelligent surveying and analysis of large-scale data sets can provide more accurate data support for subsequent decision-making on the data. Characteristic string encoding of various surveying and mapping equipment is convenient for the subsequent call, processing and backtracking of data collected by various surveying and mapping equipment, and facilitates the management of surveying and mapping data.

[0085] The map generation and service subsystem topologically connects the digital icons of all surveying and mapping equipment based on the topological connection relationship, including:

[0086] If there is a continuous identical part between the end character string of the digital code of the first surveying and mapping device and the start character string of the digital code of the second surveying and mapping device, the input end of the second surveying and mapping device is connected to the output end of the first surveying and mapping device; if there is a continuous identical part between the start character string or the tail of the digital code of the first surveying and mapping device and the second surveying and mapping device, the first surveying and mapping device and the second surveying and mapping device are output-parallel connected or input-parallel connected.

[0087] Using topological connection relationships to perform characterization and continuous management of surveying and mapping equipment can achieve unified management of the entire surveying and mapping equipment system by host systems such as computers. Using start and end strings as computer-readable storage media to continuously store surveying and mapping data can better reflect equipment relevance and data relevance, which is beneficial to the subsequent data processing efficiency and maintenance management of surveying and mapping equipment.

[0088] The interface provided by the map generation and service subsystem is the interface API. Map generation provides API sharing services to other systems by setting API configuration authorization instructions and configuration validity time; after other systems pass the access application, map data services are provided through the interface API management function; during the access process of other systems, the data access status is monitored through the interface API management function. When other systems stop accessing, the API is deactivated through the interface API management function to cut off the counting channel with other systems.

[0089] Using the API interface to share map data provides a standardized access method, which enables the direct use of ready-made interfaces for specific functions and data calls. The modular development method of the API simplifies the additional writing and maintenance of data and improves the stability and efficiency of interface development. At the same time, the API allows users to iterate and upgrade during the process of obtaining map data, so that the front-end application remains up to date and obtains better functions and performance.

[0090] The holographic fusion digital twin application system includes a data acquisition subsystem, a 3D model building subsystem, a model interactive development subsystem, and a twin data fusion subsystem;

[0091] The data acquisition subsystem is a multi-source data fusion data acquisition system composed of data acquisition, data processing, and data management. It is based on the map data service obtained by the high-precision map surveying and mapping system. It collects map data through the corresponding data acquisition equipment, independently digitizes all independent data acquisition equipment, analyzes the collected data, and adds special signal tags to it according to the data analysis results. The special signal tags are ordered strings, which include feature codes, result codes, and risk codes. The feature codes are used to store, retrieve, transcode, and trace the current map collection data. The result codes are used to display the collection results of the data. The risk codes automatically detect data quality according to the set risk threshold indicators and rules, and provide alarm and exception handling functions;

[0092] The 3D model building subsystem models the structure and attribute information of the actual physical system based on the map data, attributes and object elements analyzed and processed by the data acquisition management subsystem, constructs a digital model, and realizes accurate simulation and emulation of the physical system;

[0093] The model interaction development subsystem realizes interactive operations on the digital twin model by developing interactive interfaces and user interfaces;

[0094] The twin data fusion subsystem integrates the real-time collected environmental data and system operation data with the digital model, and assigns a transfer function to the collected data obtained by the data acquisition subsystem. The transfer function is based on the input-output parameters of the corresponding data acquisition device to achieve real-time monitoring, data analysis and predictive simulation of the physical system.

[0095] The data acquisition subsystem provides detailed task management, data quality control, data storage and management functions based on the map data service obtained by the high-precision map surveying and mapping system, helping users to achieve an efficient, reliable and safe data acquisition process, and providing high-quality data services for real-time analysis, decision support and business needs of the collected data, greatly improving the convenience of system use; the three-dimensional model establishment subsystem uses BIM technology to model the structure and attribute information of the actual physical system and build a digital model to achieve accurate simulation and simulation analysis of the physical system, and provide reliable data and physical foundation for the subsequent three-dimensional scene construction and traffic simulation visualization based on satellite image data and highway high-precision map data based on the three-dimensional map engine; the model interaction development subsystem develops interactive interfaces and user interfaces to enable users to interact with the digital twin model, such as data query, visualization display, parameter adjustment, etc., to facilitate users to supervise, manage and make decisions on the physical system; the twin data fusion subsystem uses the real-time collected environmental data and system operation data to achieve real-time monitoring, data analysis and predictive simulation of the physical system, providing a scientific basis for decision-making.

[0096] like Figure 3 The flowchart of the high-speed monitoring risk assessment result of the current map segment of the invention is shown. The transfer function is based on the input-output parameters of the corresponding data acquisition device to realize real-time monitoring, data analysis and prediction simulation of the physical system, which specifically includes the following steps:

[0097] (A01) collecting and mapping highway data through surveying and mapping equipment, collecting and digitally encoding the surveying and mapping data results, sending the digitally encoded surveying and mapping data to the data calibration subsystem, and forming a highway risk threshold through the data collection results;

[0098] (A02) The data calibration subsystem manages and processes map data elements based on the environmental data sent by the surveying and mapping equipment. Users can add, modify and delete road object elements, and support users to manage and edit map attributes. It also supports users to set calibration strategies, import calibration data, automatically execute calibration results and display calibration results, perform automatic or manual calibration of map elements, and obtain map calibration attribute models;

[0099] (A03) providing a training data import function for the map attribute model obtained in step (A02) to support users in machine learning models;

[0100] (A04) The map generation and service subsystem is mainly responsible for publishing the calibrated maps and providing map services to various business systems by providing interfaces or map data;

[0101] (A05) The highway monitoring risk value of the current map segment is calculated using the machine learning model obtained through step (A03) and the map data service provided by (A04), and the highway monitoring risk value is compared with the highway risk threshold to obtain the highway section monitoring risk assessment result and feed it back to the user interface.

[0102] If the highway monitoring risk value is lower than 50% of the highway risk threshold, it is a low-risk section; if the highway monitoring risk value is between 50% and 80% of the highway risk threshold, it is a risky section; if the highway monitoring risk value is higher than 80% of the highway risk threshold, it is a high-risk section.

[0103] An independent transfer function is used to perform an assignment operation on the execution result based on the data execution result of the corresponding data acquisition device. The assignment operation result is numerically compared with the highway risk threshold of the current section to obtain the highway section monitoring risk assessment result, and the assessment result is fed back to the user interface for corresponding risk reminders.

[0104] like Figure 6As shown, the data acquisition management subsystem collects and digitally models data on vehicle distance, vehicle lane change frequency, vehicle driving speed, and the number of hazardous chemical vehicles at road traffic nodes and toll stations, classifies and assigns values ​​to the collected data, performs data processing and risk assessment based on the classification and assignment results, and sends the data processing results and risk assessment results to the twin data fusion subsystem.

[0105] Based on the integrated data and analysis results, decision support is provided to users to help them make more reasonable decisions. The data collected from multiple directions is digitally compared to make the risk assessment results of the current road section more intuitive.

[0106] like Figure 4 The flowchart of the high-speed road section risk assessment method of the present invention is shown, and the risk assessment includes the following steps:

[0107] (B01) Taking a traffic node or toll station as the starting point and the end point of a data collection section, dividing the data collection section into a plurality of evaluation sections, and recording the number of vehicles on the current evaluation section and the length l of the current evaluation section in real time through a collection device;

[0108] (B02) Setting the collection frequency and setting the risk assessment segmentation threshold T1 through the collection task execution and monitoring functions in the data collection management subsystem;

[0109] (B03) Perform data quality detection through the data quality control function in the data acquisition management subsystem. When the data quality meets the detection standard, upload and store the data, and record the number of vehicles at the current moment as M; when the data quality does not meet the detection standard, recount and send an alarm signal;

[0110] (B04) dividing the number of vehicles M obtained in step (B03) into the number of vehicles M1, M2, ... Ma on a single lane, and collecting the front and rear vehicle distances L1, L2, ... Lb on a single lane, the number of lane changes N1, N2, ... Na of different vehicles on the left and right lanes, the driving speeds S1, S2, ... Sb of different vehicles on a single lane, and the number E1, E2, ... Ea of hazardous chemical vehicles on the entire evaluation single road section, where a is the number of lanes and b is the number of vehicles on a single lane;

[0111] (B05) The vehicle density K on the current assessment section, the vehicle lane change frequency P1 on the left and right lanes, the average driving speed Sn (n = 1, 2...a) of a single lane, and the proportion Q of hazardous chemical vehicles on the entire assessment section are calculated through the data obtained in (B04), and these four assessment data are integrated and weighted to obtain the risk assessment value T2; Where T2 = 0.2K + 0.4P1 + 0.02Sn + 5Q;

[0112] (B06) comparing the obtained T2 with T1, and feeding back data according to the comparison result;

[0113] (B07) feeding back the comparison result obtained in (B06) to the three-dimensional model building subsystem and the twin data fusion subsystem for data analysis and displaying a road safety situation color distribution map;

[0114] (B08) All the evaluated sections are integrated to obtain and display the color distribution map of the road safety situation of the entire section, such as Figure 6 shown.

[0115] Among them, the value range of T1 is 4.7~8.

[0116] Risk assessment is performed through intuitive weighted assignment, and the road section risk assessment results are converted into a road safety event color distribution map in real time. Different colors are used to distinguish the safety risk levels of the road sections, intuitively display the safety situation of the road sections, and promptly discover potential accident risk hazards.

[0117] The applications based on digital holographic fusion digital twin application system include the following:

[0118] (C01) Real-time monitoring of road operation and high-precision restoration of roads through digital twin technology;

[0119] (C02) Use the traffic data collection system to restore vehicles in real scenes, simulate and restore traffic flows, complete vehicle tracking, traffic flow statistical analysis, and realize vehicle operation data monitoring;

[0120] (C03) Through traffic data collection, the traffic facilities and equipment are graphically processed, data-driven simulation is performed in the digital twin platform, and the equipment maintenance database is formed by combining AI big data statistical analysis to predict the future road health and road traffic conditions;

[0121] (C04) Through the combination of road health and traffic conditions with the video surveillance platform, big data can be used for statistical analysis to achieve event prediction and early warning. At the same time, video fusion is performed in the digital twin 3D scene to truly present the on-site situation and provide data and record support for emergency response decision-making;

[0122] (C05) Real-time lane-level simulation positioning of key vehicles in the digital twin scenario, complete the actual monitoring of individual vehicles, and provide visual warnings for abnormal conditions such as speeding and deviation of a single vehicle;

[0123] (C06) Access weather change warnings through digital twin scenarios.

[0124] (C07) The road simulation data, monitoring data, forecast results, decision-making data support and visual warnings obtained from (C01) to (C06) are collated, and digital training is conducted to realize three-dimensional visual drills based on digital twins.

[0125] Embodiment 2

[0126] Traffic management system based on digital twin platform

[0127] (1) Comparison of digital twin technology solutions

[0128] Considering that this project has a cross-sea bridge and is connected to the Shenzhen-Zhongshan Channel. Based on the actual needs of this project, a multi-dimensional integrated display digital chassis with unified coordinates will be established, combining the full-line three-dimensional real-life map, high-precision map, two-dimensional map, 3D digital model and road plan diagram. At the same time, information collection equipment will be deployed in the Hongqimen Bridge section, the Xinken to Baojia Interchange section and the Xinken Interchange to realize digital twin traffic control of key sections. The scheme comparison is as follows:

[0129]

[0130]

[0131] Based on the comparison, from the aspects of detection accuracy, presentation effect, on-site environmental influencing factors, construction cost, etc., it is recommended to adopt the technical route of video vehicle detector + millimeter wave radar to realize the digital twin solution.

[0132] (2) Management and control applications based on the digital twin platform

[0133] ① Real-time monitoring of road operation

[0134] Through digital twin technology, roads are restored with high precision, various types of equipment are modeled and rendered, and connected with video surveillance systems, equipment perception systems, etc., combined with lane-level digital twin scenes to present the comprehensive status of road operation, helping management departments to conduct intuitive and efficient comprehensive coordination and management.

[0135] ② Traffic simulation

[0136] By combining the data from the traffic data collection system, high-definition card entry system and event detection system with traffic flow theory, vehicles can be restored in the lane-level digital twin scene, and traffic flow simulation, vehicle tracking and traffic flow statistical analysis can be performed to achieve vehicle operation monitoring: including vehicle speed, license plate recognition, traffic flow statistics, real-time simulation and restoration of traffic flow, etc., to support digital traffic management, such as Figure 7 shown.

[0137] ③Full life cycle management of equipment

[0138] Through the collection of traffic-themed data, traffic facilities and equipment are processed graphically, and lane-level location information and ledger information are attached. Based on the three-dimensional full-element digital twin scene, information presentation and addition, deletion, modification and query are carried out to achieve the "digitalization, visualization and controllability" of the basic ledger of facilities and equipment.

[0139] Through the sensing and monitoring network system, the real-time status of road equipment, infrastructure and various intelligent equipment can be fully tracked; data-driven simulation is carried out in the digital twin platform to achieve the integration of data and models, reduce the impact of uncertainty factors, and form an equipment maintenance database in combination with AI big data statistical analysis to increase the understanding of system behavior, thereby making more accurate simulations and predictions, realizing road equipment and bridge health status monitoring, and predicting future health status. Help management departments achieve predictive maintenance of equipment, reduce maintenance costs, and improve maintenance efficiency.

[0140] ④ Emergency linkage command

[0141] Combined with video surveillance platforms, IoT perception and other infrastructure, based on big data intelligent statistical analysis, event detection and early warning can be achieved. When an emergency occurs, the event type and event location can be identified. Through business process association and connection, the process is dispatched and processed. The platform supports real-time, remote multi-screen command based on cloud rendering (supports private cloud) technology, and realizes the same-screen command and processing of multiple departments based on digital twin 3D scenes under linkage in emergency situations. At the same time, video fusion can be performed in the digital twin 3D scene to truly present the on-site situation and support emergency handling decisions.

[0142] Through the digital twin platform, integrated sensing equipment, high-speed transmission networks, edge computing and other infrastructure are integrated with predictive analysis models, traffic simulation, data model identification association, etc. to improve the rapid response capability of emergencies and respond to emergencies in a timely manner. Through emergency event alarms, and active association with intelligence boards for message push, the loss of life and property can be effectively reduced.

[0143] ⑤Key vehicle supervision

[0144] Through the lane-level digital twin scene combined with traffic simulation algorithms, based on video surveillance, high-definition card system, ETC gantry, vehicle GPS and other system data, the real-time position, speed and running trajectory of "two passenger and one dangerous goods" vehicles are monitored in real time and visualized, and the refined simulation of the running lanes of key vehicles is realized, providing lane-level full-process visualization means for the management of key vehicles on the road section. At the same time, in the digital twin scene, key vehicles can be simulated and positioned in real time at the lane level and monitored throughout the process. Visual alarms are issued for abnormal conditions such as speeding and deviation of vehicles; support is provided for querying detailed information of specific vehicles, such as license plate number, vehicle type, affiliated unit, waybill information (driver, escort, cargo information, etc.), to achieve all-round operation monitoring of "two passenger and one dangerous goods" vehicles.

[0145] ⑥Meteorological monitoring management

[0146] Specific as Figure 8 As shown, by accessing meteorological and weather monitoring data, the twin scene can simulate weather changes based on the data, and can effectively combine intelligent analysis and intelligent judgment technology to issue early warnings for severe weather such as strong winds, heavy rains, heavy fog, and floods, helping management departments to take timely response measures to optimize the road network, improve the efficiency of safe highway passage, reduce traffic accidents, reduce losses, and protect people’s lives and property.

[0147] ⑦Digital training

[0148] a. Equipment operation and maintenance training

[0149] The digital twin platform combines data types such as equipment operation and maintenance, inspection, and traffic statistics to form a knowledge base and provide comprehensive digital training for new engineers. In a real three-dimensional full-factor scene, you can understand all aspects from design and development, engineering construction, and intelligent operation and maintenance, understand the uses of various types of equipment, equipment maintenance methods, etc. At the same time, the digital twin platform can demonstrate how to perform standard operating procedures, such as removing a part of a certain type and accurately installing a replacement part, disassembling the internal components of the equipment, and component maintenance knowledge.

[0150] b. Emergency plan model setting and drills

[0151] In the digital twin 3D scene, the management and emergency rescue teams are provided with an "immersive" emergency response simulation drill through a combination of virtual and real methods; for example, if a vehicle rear-end collision occurs in a certain lane, the rear information board can be linked, and rescue path planning and traffic flow simulation visualization can be performed, thereby helping the management and rescue teams to provide a digital training method for rescue plan setting and drills, and can combine real data, holiday traffic data, etc. to simulate the plan. A three-dimensional visualization drill based on digital twins is realized. Improve the ability to efficiently handle emergency events when they occur.

[0152] (3) Construction of digital twin platform

[0153] This project will establish a multi-dimensional integrated display digital chassis that combines the full-line 3D real-life map, high-precision map, 2D map, 3D digital model and road plan diagram with unified coordinates, which will be used by upper-level applications such as traffic monitoring, command and dispatch, and plan simulation in the integrated management system and mobile APP calls. According to the display effect and optimal viewing angle requirements of different applications, the above-mentioned types of maps can be flexibly switched in the application to achieve 3D and 2D, real and virtual fusion display, and form a traffic digital twin.

[0154] a. 3D real-life electronic map

[0155] In addition to displaying the bridge, interchange and management center, toll booth, access road infrastructure and surrounding areas, the 3D real-life electronic map should also reflect, including but not limited to, the following information:

[0156] Location and presentation of facilities along the road: traffic safety facilities, monitoring facilities, toll collection facilities, communication facilities, lighting facilities, supply and distribution facilities,

[0157] Power facilities, integrated pipeline facilities, building construction facilities, etc.;

[0158] Display of attribute information of various facilities;

[0159] Real-time monitoring video viewing and control of the camera;

[0160] View, edit and publish the displayed content of the information board;

[0161] Check the monitoring data of various environmental monitoring equipment;

[0162] Check the detection data of various traffic monitoring equipment;

[0163] Road traffic conditions: traffic volume is displayed in different levels and sections;

[0164] Real-time location and trajectory of key monitoring vehicles such as two passenger vehicles and one dangerous goods vehicle;

[0165] The submitted model should fully reflect all land features, including buildings, roads (including elevated roads), green areas, water systems, etc. It should reflect the original appearance in a WYSIWYG way, and the shapes of all land features should be real, such as roads, plants, sculptures, etc. In order to facilitate system updates and management, buildings, roads (including elevated roads), green areas, water systems and terrain should be modeled in layers, and all building models should be formed into single model files.

[0166] The model should meet the following requirements:

[0167] Model accuracy: 2cm;

[0168] Projection: Gaussian;

[0169] Coordinate system: WGS-84 or as required by Party A;

[0170] Result data format: OSGB general 3D data;

[0171] The relative error of the point accuracy is within 2 pixels, which can accurately match the real geographical location and the model scale is accurate;

[0172] The model should be realistic, complete, consistent, and measurable;

[0173] The 3D model needs to be monomerized, and adjacent buildings must be split when the distance between them is greater than 1 meter.

[0174] Texture accuracy of the product:

[0175] The texture is consistent and even in tone, with no traces of inlay;

[0176] The textures of terrain and objects in the model data should maintain the consistency of projection direction and acquisition time, and there should be no obvious seams between them;

[0177] The unobstructed building has a clear shape and smooth surface, without obvious deformation, unevenness, or discrepancy with the actual situation;

[0178] Able to accurately represent the height and outline of various types of trees;

[0179] The front and side textures of the interchange real scene 3D should meet the requirements of continuity and clear outer contour; the texture under the bridge should be concave to the greatest extent;

[0180] The real-life three-dimensional road scene should eliminate the impact of moving vehicles on the texture, so that the road texture can be represented evenly, continuously and reasonably.

[0181] scope:

[0182] All features with any side longer than 1.5 meters should be modeled;

[0183] The main line bridges and interchanges along the entire line;

[0184] The overall view of the management center and toll station area;

[0185] The area no less than 500 meters outside the main line, ramps, and building construction areas;

[0186] b. Dynamic simulation of traffic scenes

[0187] The traffic scene simulation module uses electronic maps and various information collection devices set up along the route to dynamically simulate the entire highway and its infrastructure, real-time weather, comprehensive data, road conditions, vehicle operation conditions, etc., fully reproduce the traffic operation status of the road section, and provide managers with various early warning plans, management plans and diversion plans. The dynamically simulated scenes and traffic conditions can be effectively consistent with the actual traffic outside, and the following functions should be realized:

[0188] - Overall traffic condition simulation

[0189] To realize the overall traffic situation display function, the system uses various models stored in the database, combined with the real-time data provided by the collection equipment, to manually or automatically view and check the overall or main section traffic conditions of the highway through third-person and macro perspectives, including road smoothness, congestion, accidents, road closures, maintenance, etc., so that managers can fully understand the traffic operation status of the road section.

[0190] -Vehicle operation status simulation

[0191] The system uses real-time monitoring data, combines the vehicle model stored in the database with the vehicle's characteristics, longitude and latitude, speed, running direction, direction angle and other information, loads the vehicle model into the system through data analysis and processing, and finally achieves a real vehicle operation simulation through graphic rendering. The vehicle's running track, transportation status and characteristic information are provided to supervisors in the form of 3D animation, realizing full monitoring of vehicles in a real environment.

[0192] The contents of the simulation include but are not limited to:

[0193] -Real-time traffic status

[0194] Vehicle driving status: location, speed, direction;

[0195] Vehicle trajectory;

[0196] Vehicle model: model, color, license plate;

[0197] -Environmental status

[0198] The daylight conditions at different times;

[0199] Weather conditions: sunny, cloudy, rainy, foggy;

[0200] Seasonal environmental conditions;

[0201] -Multi-view display

[0202] Aerial view of the distant view;

[0203] Close-up view, horizontal view and overhead view;

[0204] - Monitoring information

[0205] Real-time monitoring video images from the camera;

[0206] Various monitoring and collection information: meteorological information, environmental information, traffic condition information, information board display information and other statistical information.

[0207] (4) Sensing devices

[0208] ① Hongqimen Bridge section, Xinken to Baojia Interchange section and Xinken Interchange use video vehicle detectors and millimeter wave radar detectors. Video vehicle detectors are installed on the bridge. Fixed traffic monitoring cameras are installed on the bridge. The video vehicle detection front-end camera can be shared with the fixed traffic monitoring camera on the bridge, and the transmission system is shared.

[0209] Millimeter-wave radar detectors are installed on the Hongqimen Bridge section and the Xinken to Baojia Interchange section. They are installed on light poles every 500 meters, with 4 millimeter-wave radar detectors at each location, covering 6 lanes in both directions. Millimeter-wave radar detectors are installed on the Xinken Interchange every 300 meters, with 1 or 2 millimeter-wave radar detectors at each location. The curves and curved sections are densely laid to cover the lanes. Ethernet optical transceivers are used to transmit to the nearest communication station as a necessary collection method for the intelligent management and control system, especially in severe weather conditions, to provide more accurate traffic parameters.

[0210] The millimeter-wave radar detection system can detect traffic parameters such as the traffic volume, average speed, occupancy rate, headway time, etc. on the entire section of the bridge. It can also conduct real-time tracking and positioning of vehicles, pedestrians, and scattered objects on the highway and determine their motion status and location information.

[0211] Global traffic monitoring: Lane-level trajectory accuracy perception based on radar data.

[0212] The whole-basin vehicle flow tracking can track all vehicles in the basin in real time and display them in a visual form. The specific vehicle continuous trajectory tracking and video tracking can continuously track specific vehicles and provide video tracking in conjunction with cameras along the road.

[0213] Statistics and analysis: Vehicle trajectories can be counted and analyzed, vehicle trajectories can be smoothed, and traffic flow parameters and single-vehicle events can be obtained through statistical analysis.

[0214] Emergency traffic incident monitoring and early warning: Through the identification of basic traffic incidents, early warnings of possible future road risks are given through statistical analysis models.

[0215] Traffic behavior safety monitoring: realize traffic situation awareness based on traffic flow parameters and abnormal traffic events, and realize road risk classification warning.

[0216] The detection data is eventually uploaded to the monitoring center management platform, and the detection equipment can accept instructions from the platform.

[0217] ②The main line uses video vehicle detectors and ETC gantry

[0218] Mainline traffic flow detection mainly uses ETC gantries and video event analysis systems along the line, providing traffic parameters such as full-section traffic volume, average vehicle speed, occupancy rate, headway, etc.

[0219] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A high-speed digital monitoring twin system, which includes a high-precision map surveying and mapping system and a holographic fusion digital twin application system, and is characterized by: The high-precision map surveying and mapping system consists of a surveying and mapping acquisition subsystem, a data calibration subsystem, and a map generation and service subsystem; The surveying and mapping acquisition subsystem performs digitization processing on the surveying and mapping tools, integrates and adds all the surveying and mapping equipment within the surveying and mapping range to obtain a digital code, wherein the digital code corresponds to a digital icon and a string of characteristic codes of each independent surveying and mapping equipment, wherein the characteristic code is an ordered string, wherein the ordered string includes a start string, an intermediate string, and an end string, wherein the start string and the end string of the characteristic codes of different surveying and mapping equipment having an electrical connection relationship or a functional connection relationship have the same character segment, and the intermediate string includes an equipment information code and an equipment acquisition data format code; The data calibration subsystem includes road object element management, map attribute management, automatic calibration, manual calibration and map learning and training functions. The data calibration subsystem performs object element management and data editing on the target data obtained by the surveying and mapping acquisition subsystem, performs feature classification on the data, and performs feature annotation on the classification results and displays the map annotation results, thus forming a complete map feature element measurement and feature calibration display; The map generation and service subsystem publishes the map after the measurement of map characteristic elements and the characteristic calibration display, and provides map data services to various business subsystems by providing interfaces or map data.

2. According to claim 1, a high-speed digital monitoring twin system is characterized by: The map generation and service subsystem topologically connects the digital icons of all surveying and mapping equipment based on the topological connection relationship, including: If there is a continuous identical part between the end character string of the digital code of the first surveying and mapping device and the start character string of the digital code of the second surveying and mapping device, the input end of the second surveying and mapping device is connected to the output end of the first surveying and mapping device; if there is a continuous identical part between the start character string or the end character string of the digital code of the first surveying and mapping device and the second surveying and mapping device, the first surveying and mapping device and the second surveying and mapping device are output-parallel connected or input-parallel connected.

3. According to claim 1, a high-speed digital monitoring twin system is characterized in that: The interface provided by the map generation and service subsystem is the interface API. The map generation provides API sharing services to other systems by setting API configuration authorization instructions and configuration validity time; after the other systems pass the access application, map data services are provided through the interface API management function; during the access process of other systems, the data access status is monitored through the interface API management function. When other systems stop accessing, the API is deactivated through the interface API management function to cut off the counting channel with other systems.

4. According to claim 1, a high-speed digital monitoring twin system is characterized by: The holographic fusion digital twin application system includes a data acquisition subsystem, a three-dimensional model building subsystem, a model interactive development subsystem and a twin data fusion subsystem; The data acquisition subsystem is a data acquisition system that integrates multi-source data, including data acquisition, data processing and data management. It is based on the map data service obtained by the high-precision map surveying and mapping system. It collects map data through corresponding data acquisition equipment, independently digitizes and encodes all independent data acquisition equipment, analyzes the collected data and adds special signal tags to them according to the data analysis results. The special signal tags are ordered strings, which include feature codes, result codes and risk codes. The feature codes are used to store, retrieve, transcode and trace the current map collection data. The result codes are used to display the collection results of the data. The risk codes automatically detect data quality according to the set risk threshold indicators and rules, and provide alarm and exception handling functions. The three-dimensional model building subsystem models the structure and attribute information of the actual physical system according to the map data, attributes and object elements analyzed and processed by the data acquisition management subsystem, constructs a digital model, and realizes accurate simulation and emulation of the physical system; The model interaction development subsystem realizes interactive operation on the digital twin model by developing an interactive interface and a user interface; The twin data fusion subsystem fuses the real-time collected environmental data and system operation data with the digital model, and assigns a transfer function to the collected data obtained by the data acquisition subsystem. The transfer function is based on the input-output parameters of the corresponding data acquisition device to achieve real-time monitoring, data analysis and predictive simulation of the physical system.

5. A high-speed digital monitoring twin system according to claim 4, characterized in that: The transfer function realizes real-time monitoring, data analysis and predictive simulation of the physical system based on the input-output parameters of the corresponding data acquisition device, and specifically includes the following steps: (A01) collecting and mapping highway data through surveying and mapping equipment, collecting and digitally encoding the surveying and mapping data results, sending the digitally encoded surveying and mapping data to the data calibration subsystem, and forming a highway risk threshold through the data collection results; (A02) The data calibration subsystem manages and processes map data elements based on the environmental data sent by the surveying and mapping equipment. Users can add, modify and delete road object elements, and support users to manage and edit map attributes. It also supports users to set calibration strategies, import calibration data, automatically execute calibration results and display calibration results, perform automatic or manual calibration of map elements, and obtain map calibration attribute models; (A03) providing a training data import function for the map attribute model obtained in step (A02) to support users in machine learning models; (A04) The map generation and service subsystem is mainly responsible for publishing the calibrated maps and providing map services to various business systems by providing interfaces or map data; (A05) performing a highway monitoring risk value of the current map segment using the machine learning model obtained in step (A03) and the map data service provided in step (A04), comparing the highway monitoring risk value with the highway risk threshold, obtaining a highway segment monitoring risk assessment result and feeding it back to the user interface; If the highway monitoring risk value is lower than 50% of the highway risk threshold, it is a low-risk section; if the highway monitoring risk value is 50% to 80% of the highway risk threshold, it is a risky section; if the highway monitoring risk value is higher than 80% of the highway risk threshold, it is a high-risk section.

6. A high-speed digital monitoring twin system according to claim 4 or 5, characterized in that: The data acquisition management subsystem collects and digitally models data on vehicle distance, vehicle lane change frequency, vehicle driving speed and number of hazardous chemical vehicles at road traffic nodes and toll stations, classifies and assigns values ​​to the collected data, performs data processing and risk assessment based on the classification and assignment results, and sends the data processing results and risk assessment results to the twin data fusion subsystem.

7. A high-speed digital monitoring twin system according to claim 6, characterized in that: The risk assessment includes the following steps: (B01) Taking a traffic node or toll station as the starting point and the end point of a data collection section, dividing the data collection section into a plurality of evaluation sections, and recording the number of vehicles on the current evaluation section and the length l of the current evaluation section in real time through a collection device; (B02) Setting the collection frequency and setting the risk assessment segmentation threshold T1 through the collection task execution and monitoring functions in the data collection management subsystem; (B03) Performing data quality detection through the data quality control function in the data acquisition management subsystem. When the data quality meets the detection standard, the data is uploaded and stored, and the number of vehicles at the current moment is recorded as M; when the data quality does not meet the detection standard, recounting and sending an alarm signal, and repeating step (B03); (B04) dividing the number of vehicles M obtained in step (B03) into the number of vehicles M1, M2, ... Ma on a single lane, and collecting the front and rear vehicle distances L1, L2, ... Lb on a single lane, the number of lane changes N1, N2, ... Na of different vehicles on the left and right lanes, the driving speeds S1, S2, ... Sb of different vehicles on a single lane, and the number E1, E2, ... Ea of hazardous chemical vehicles on the entire evaluation single road section, where a is the number of lanes and b is the number of vehicles on a single lane; (B05) The vehicle density K on the current assessment section, the vehicle lane change frequency P1 on the left and right lanes, the average driving speed Sn (n = 1, 2...a) of a single lane, and the proportion Q of hazardous chemical vehicles on the entire assessment section are calculated through the data obtained in (B04), and the risk assessment value T2 is obtained by integrating and assigning values ​​to these four assessment data; (B06) comparing the obtained T2 with T1, and feeding back data according to the comparison result; (B07) feeding back the comparison result obtained in (B06) to the three-dimensional model building subsystem and the twin data fusion subsystem for data analysis and displaying a road safety situation color distribution map; (B08) All the evaluated road sections are integrated to obtain and display a color distribution map of the road safety situation of the entire road section.

8. The high-speed digital monitoring twin system according to claim 5 is characterized by: The application based on the digital holographic fusion digital twin application system includes the following contents: (C01) Real-time monitoring of road operation and high-precision restoration of roads through digital twin technology; (C02) Use the traffic data collection system to restore vehicles in real scenes, simulate and restore traffic flows, complete vehicle tracking, traffic flow statistical analysis, and realize vehicle operation data monitoring; (C03) Through traffic data collection, the traffic facilities and equipment are graphically processed, data-driven simulation is performed in the digital twin platform, and the equipment maintenance database is formed by combining AI big data statistical analysis to predict the future road health and road traffic conditions; (C04) Through the combination of road health and traffic conditions with the video surveillance platform, big data can be used for statistical analysis to achieve event prediction and early warning. At the same time, video fusion is performed in the digital twin 3D scene to truly present the on-site situation and provide data and record support for emergency response decision-making; (C05) Real-time lane-level simulation positioning of key vehicles in the digital twin scenario, complete the actual monitoring of individual vehicles, and provide visual warnings for abnormal conditions such as speeding and deviation of a single vehicle; (C06) Access weather change warnings through digital twin scenarios; (C07) The road simulation data, monitoring data, forecast results, decision-making data support and visual warnings obtained from (C01) to (C06) are collated, and digital training is conducted to realize three-dimensional visual drills based on digital twins.

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