Method, system, computer device and storage medium for dynamic management of airport data

Abstract

The application relates to an airport data dynamic management method, system, computer equipment and storage medium. The method can be applied to cloud technology and intelligent transportation and the like application scenarios, and the method comprises the following steps: in response to a display operation triggered on a management platform page, a visual airport space model is displayed; in response to a weather simulation operation of the airport space model, airport environment data and meteorological data are acquired; a weather simulation model is generated according to the airport environment data and the meteorological data; the weather simulation model is fused into the airport space model for display, and the airport environment data and the meteorological data are displayed; when it is determined that an airport environment state meets preset abnormal conditions based on the airport space model fused with the weather simulation model, the airport environment data and the meteorological data, an abnormal treatment scheme is determined according to the airport environment state. The method can improve the management efficiency of the airport data.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, system, computer device, and storage medium for dynamic management of airport data. Background Technology

[0002] In recent years, with the rapid development of the civil aviation industry, the scale and management complexity of airports have increased dramatically, making efficient management of various airport data particularly important. Currently, spatial management platforms typically employ Geographic Information System (GIS) technology, combined with environmental data from temperature and humidity meters, to manage airport building space and environmental temperature and humidity.

[0003] However, the above solutions can only manage a portion of airport data, such as 2D data based on GIS technology, environmental data fed back by temperature and humidity meters, resulting in low efficiency in managing airport data. Summary of the Invention

[0004] Therefore, it is necessary to provide a dynamic management method, system, computer equipment, computer-readable storage medium, and computer program product for airport data that can improve the efficiency of airport data management, in response to the above-mentioned technical problems.

[0005] Firstly, this application provides a method for dynamic management of airport data. The method includes:

[0006] In response to a display action triggered on the management platform page, a visual airport spatial model is displayed;

[0007] In response to the weather simulation operation of the airport spatial model, airport environmental data and meteorological data are acquired;

[0008] A weather simulation model is generated based on the airport environmental data and the meteorological data.

[0009] The weather simulation model is integrated into the airport spatial model for display, and the airport environmental data and meteorological data are displayed.

[0010] When the airport environmental condition is determined to meet the preset abnormal conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data, an abnormality handling plan is determined according to the airport environmental condition.

[0011] Secondly, this application also provides a dynamic management system for airport data. The system includes:

[0012] The spatial simulation module is used to display a visualized airport spatial model in response to display operations triggered on the management platform page;

[0013] The environmental monitoring module is used to acquire airport environmental data and meteorological data in response to the weather simulation operation of the airport spatial model;

[0014] The weather simulation module is used to generate a weather simulation model based on the airport environmental data and the meteorological data.

[0015] The data display module is used to integrate the weather simulation model into the airport spatial model for display, and to display the airport environmental data and the meteorological data;

[0016] The integrated management module is used to determine an anomaly handling plan based on the airport environmental status when the airport environmental status is determined to meet preset anomaly conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data.

[0017] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0018] In response to a display action triggered on the management platform page, a visual airport spatial model is displayed;

[0019] In response to the weather simulation operation of the airport spatial model, airport environmental data and meteorological data are acquired;

[0020] A weather simulation model is generated based on the airport environmental data and the meteorological data.

[0021] The weather simulation model is integrated into the airport spatial model for display, and the airport environmental data and meteorological data are displayed.

[0022] When the airport environmental condition is determined to meet the preset abnormal conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data, an abnormality handling plan is determined according to the airport environmental condition.

[0023] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0024] In response to a display action triggered on the management platform page, a visual airport spatial model is displayed;

[0025] In response to the weather simulation operation of the airport spatial model, airport environmental data and meteorological data are acquired;

[0026] A weather simulation model is generated based on the airport environmental data and the meteorological data.

[0027] The weather simulation model is integrated into the airport spatial model for display, and the airport environmental data and meteorological data are displayed.

[0028] When the airport environmental condition is determined to meet the preset abnormal conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data, an abnormality handling plan is determined according to the airport environmental condition.

[0029] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0030] In response to a display action triggered on the management platform page, a visual airport spatial model is displayed;

[0031] In response to the weather simulation operation of the airport spatial model, airport environmental data and meteorological data are acquired;

[0032] A weather simulation model is generated based on the airport environmental data and the meteorological data.

[0033] The weather simulation model is integrated into the airport spatial model for display, and the airport environmental data and meteorological data are displayed.

[0034] When the airport environmental condition is determined to meet the preset abnormal conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data, an abnormality handling plan is determined according to the airport environmental condition.

[0035] The aforementioned dynamic management method, system, computer equipment, and storage medium for airport data, in response to display operations triggered on the management platform page, present a visualized airport spatial model; in response to weather simulation operations on the airport spatial model, acquire airport environmental and meteorological data; generate a weather simulation model based on the airport environmental and meteorological data; integrate the weather simulation model into the airport spatial model for display, and display the airport environmental and meteorological data; when the airport environmental state is determined to meet preset abnormal conditions based on the airport spatial model, airport environmental data, and meteorological data integrated with the weather simulation model, an anomaly handling plan is determined according to the airport environmental state, thereby enabling multi-dimensional and efficient dynamic management of airport data and improving the management efficiency of airport data. Attached Figure Description

[0036] Figure 1 This is a diagram illustrating the application environment of a dynamic management method for airport data in one embodiment.

[0037] Figure 2 This is a flowchart illustrating a dynamic management method for airport data in one embodiment;

[0038] Figure 3 This is a schematic diagram of the management platform page in one embodiment;

[0039] Figure 4 A schematic diagram illustrating the construction principle of an airport's city information model in one embodiment;

[0040] Figure 5 This is a schematic diagram of an airport spatial model in one embodiment;

[0041] Figure 6 This is a schematic diagram of an airport space model in another embodiment;

[0042] Figure 7 This is a schematic diagram of an airport space model in another embodiment;

[0043] Figure 8 This is a schematic diagram of an airport space model in another embodiment;

[0044] Figure 9 This is a schematic diagram of the management platform page in another embodiment;

[0045] Figure 10 This is a schematic diagram of an environmental data acquisition device in one embodiment;

[0046] Figure 11 This is a schematic diagram of an environmental data acquisition device in another embodiment;

[0047] Figure 12 This is a schematic diagram of the management platform page in another embodiment;

[0048] Figure 13 This is a flowchart illustrating the security management process in one embodiment;

[0049] Figure 14 This is a schematic diagram of the network structure of an RCNN model in one embodiment;

[0050] Figure 15 This is a schematic diagram of the network structure of the FSSD model in one embodiment;

[0051] Figure 16 This is a flowchart illustrating the object count detection process in one embodiment;

[0052] Figure 17 This is a schematic diagram of the feature extraction network structure in one embodiment;

[0053] Figure 18 A schematic diagram of the page settings for an object count task in one embodiment;

[0054] Figure 19 This is a schematic diagram of statistical results in one embodiment;

[0055] Figure 20 This is a schematic diagram of airport data fusion in one embodiment;

[0056] Figure 21 This is an architecture diagram of a dynamic management system for airport data in one embodiment;

[0057] Figure 22 This is a block diagram of the dynamic management system for airport data in another embodiment;

[0058] Figure 23 This is a block diagram of the dynamic management system for airport data in another embodiment;

[0059] Figure 24 This is an internal structural diagram of a computer device in one embodiment;

[0060] Figure 25 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0062] Cloud computing refers to the delivery and usage model of IT infrastructure, meaning obtaining necessary resources in an on-demand and easily scalable manner through a network. In a broader sense, cloud computing also refers to the delivery and usage model of services, meaning obtaining necessary services in an on-demand and easily scalable manner through a network. These services can be IT and software related, internet-related, or other services. Cloud computing is a product of the development and integration of traditional computer and network technologies such as grid computing, distributed computing, parallel computing, utility computing, network storage technologies, virtualization, and load balancing.

[0063] Cloud storage is a new concept that extends and develops from the concept of cloud computing. A distributed cloud storage system (hereinafter referred to as a storage system) refers to a storage system that uses cluster applications, grid technology and distributed storage file systems to bring together a large number of storage devices of various types in the network (storage devices are also called storage nodes) to work together through application software or application interfaces to provide data storage and business access functions to the outside world.

[0064] Artificial intelligence (AI) is the theory, methods, technology, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to achieve optimal results. In other words, AI is a comprehensive technology within computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a way similar to human intelligence. AI studies the design principles and implementation methods of various intelligent machines, enabling them to possess the functions of perception, reasoning, and decision-making.

[0065] Artificial intelligence (AI) is a comprehensive discipline encompassing a wide range of fields, including both hardware and software technologies. Fundamental AI technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies primarily include computer vision, speech processing, natural language processing, as well as machine learning / deep learning, autonomous driving, and intelligent transportation.

[0066] The dynamic management method for airport data provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be placed in the cloud or on another server. This dynamic management method for airport data can be executed on terminal 102, or it can be implemented through the interaction between terminal 102 and server 104. Taking execution on terminal 102 as an example, terminal 102 responds to a display operation triggered on the management platform page, displaying a visualized airport spatial model; responds to a weather simulation operation on the airport spatial model, acquiring airport environmental data and meteorological data; generates a weather simulation model based on the airport environmental data and meteorological data; integrates the weather simulation model into the airport spatial model for display, and displays the airport environmental data and meteorological data; when the airport environmental state is determined to meet preset abnormal conditions based on the airport spatial model, airport environmental data, and meteorological data integrated with the weather simulation model, an abnormality handling plan is determined according to the airport environmental state.

[0067] The terminal 102 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc.

[0068] Server 104 can be a standalone physical server or a server cluster composed of multiple service nodes in a blockchain system. The service nodes form a peer-to-peer (P2P) network. The peer-to-peer protocol is an application layer protocol that runs on top of the Transmission Control Protocol (TCP).

[0069] In one embodiment, such as Figure 2 As shown, a dynamic management method for airport data is provided, which can be applied to... Figure 1 Taking terminal 102 as an example, the explanation includes the following steps:

[0070] S202, in response to a display action triggered on the management platform page, displays a visualized airport spatial model.

[0071] The management platform page refers to the interactive page of the airport data management platform. The airport data management platform is used to dynamically manage airport data. Specifically, the airport data management platform is a management platform built on the airport's City Information Modeling (CIM). The airport's City Information Modeling is based on technologies such as Building Information Modeling (BIM), Geographic Information System (GIS), and Internet of Things (IoT). It integrates multi-dimensional and multi-scale information model data of the airport's above-ground and underground, indoor and outdoor, historical, current and future data, as well as airport perception data, to construct an organic complex of airport information in a three-dimensional digital space.

[0072] Airport data specifically includes airport spatial data, airport environmental data, meteorological data, and sensory data on people and things existing within the airport space. An airport spatial model is a spatial model constructed based on airport spatial data. For example... Figure 3 The image shown is a schematic diagram of a management platform page in one embodiment. Airport managers can view various airport data for the entire airport on the management platform page, which can also display an airport spatial model.

[0073] It should be noted that the reference Figure 4In this embodiment of the application, the city information model (CIM) of the airport can be based on the smart space CityBase. Digital twin technology is used to digitize all elements of the airport building, establish digital twins of building space, people, things, and behavioral activities, and achieve the integration of spatial data and Internet of Things data through digital modeling of airport buildings to obtain the city information model of the airport, thereby realizing the unified management of the airport park and airport buildings.

[0074] In one embodiment, S202 specifically includes the following steps: in response to a display operation triggered on the management platform page, acquiring airport spatial data; sequentially converting and fusing the airport spatial data to obtain processed airport spatial data; constructing a visualized airport spatial model based on the processed airport spatial data; and displaying the visualized airport spatial model from the target perspective according to the target perspective corresponding to the display operation.

[0075] Airport spatial data refers to data describing the spatial location of buildings, facilities, and equipment within an airport. Airport spatial data can be of various types and sources, including oblique photogrammetry data, point cloud data, GIS data, 3D model data, and BIM data. Oblique photogrammetry data is obtained using oblique photogrammetry technology, which can acquire data over a wide area by simultaneously collecting image data from five different angles using multiple aerial cameras mounted on the same flight platform. Point cloud data is obtained quickly and directly from laser point cloud equipment, providing dense, high-precision 3D point coordinate data of the ground surface. GIS data mainly includes DEM (Digital Elevation Model) data, DOM (Digital Orthophoto Map) data, DLG (Digital Line Map) data, and administrative division data. 3D model data mainly includes formats such as max, fbx, IFC, stp, dwg, stl, rvt, dgn, and igs. BIM data is a complete information model that expresses buildings with detailed attribute information, used to integrate and improve building lifecycle data. Airport spatial data includes underground spatial data and above-ground spatial data. Underground spatial data includes underground pipeline models and borehole data models, while above-ground spatial data includes building model data. Building model data covers data on indoor structures, electromechanical equipment, steel structures, and outdoor curtain walls. Therefore, the airport spatial model constructed based on the airport spatial data can realize dynamic interactive visualization of above-ground and underground, indoor and outdoor scenes.

[0076] The visualized airport space model can achieve integrated visualization of macro and micro perspectives, integrated visualization of above-ground and underground spaces, and integrated visualization of indoor and outdoor spaces. Specifically, integrated visualization of macro and micro perspectives refers to seamless browsing from macro-level large scenes to detailed local models; integrated visualization of above-ground and underground spaces refers to cross-sectional browsing of above-ground and underground spaces from any angle; and integrated visualization of indoor and outdoor spaces refers to integrated browsing from the outside to the inside, such as being able to observe the outdoor scene through windows or other areas from inside the room.

[0077] Specifically, after obtaining airport spatial data of different data types, the terminal integrates the OGC data standard, performs data format conversion on the airport spatial data of various data types to obtain airport spatial data of the target format, and integrates the airport spatial data of the target format to obtain processed airport spatial data. Based on the processed airport spatial data, a visualized airport spatial model is constructed, the target perspective corresponding to the display operation is obtained, and the visualized airport spatial model is displayed under the target perspective.

[0078] Understandably, airport spatial data from different sources are based on different original coordinate systems. To facilitate the processing of airport spatial data, it is necessary to unify the airport spatial data under the same coordinate system. Specifically, a seven-parameter coordinate transformation method can be used to unify airport spatial data under the same coordinate system, and the seven-parameter coordinate transformation formula is as follows:

[0079]

[0080] in, , and These are the position coordinates in the merged target coordinate system. , and The position coordinates in the original coordinate system before merging. For scale variation parameters, , and For translational parameters, , and These are rotation parameters.

[0081] For example, if the processed airport spatial data is based on a geographic coordinate system, then during data fusion, the IoT locations of each IoT device are fused with the geographic coordinate system, or the BIM coordinates are fused with the geographic coordinate system, thereby obtaining the location data of each device under the geographic coordinate system.

[0082] The target viewpoint is the angle from which the airport spatial model is observed. For example, if the target viewpoint is the airport runway viewpoint, then the visualized airport spatial model will be displayed from the runway perspective; if the target viewpoint is the apron viewpoint, then the visualized airport spatial model will be displayed from the apron perspective; if the target viewpoint is the terminal interior, then the visualized airport spatial model will be displayed from the terminal interior perspective; and if the target viewpoint is the terminal exterior, then the visualized airport spatial model will be displayed from the terminal exterior perspective. It can be understood that the target viewpoint can also be the perspective of security checkpoints, waiting areas, boarding gates, etc. Figure 5 The image shown is a schematic diagram of an airport spatial model from a certain perspective. Figure 6 The image shown is a schematic diagram of an airport spatial model from a certain perspective. Figure 7 The image shown is a schematic diagram of an airport spatial model from a certain perspective. Figure 8 The image shown is a schematic diagram of an airport spatial model from a certain perspective.

[0083] In this embodiment, the terminal obtains airport spatial data in response to a display operation triggered on the management platform page, performs sequential transformation and fusion processing on the airport spatial data to obtain processed airport spatial data, constructs a visualized airport spatial model based on the processed airport spatial data, and displays the visualized airport spatial model from the target perspective according to the target perspective corresponding to the display operation. This allows for the display of the airport model from different angles, facilitating airport personnel to view the situation of various areas of the airport in real time, thereby improving the efficiency of airport data management.

[0084] S204, responding to weather simulation operations of the airport spatial model, acquires airport environmental and meteorological data.

[0085] The weather simulation operation is used to trigger the visualization of the airport spatial model under simulated weather conditions. Airport environmental data reflects the airport's environmental conditions, including indoor and outdoor environmental data. Meteorological data reflects the airport's weather conditions; this can be real-time weather reports or simulated meteorological data under specific weather conditions. The weather simulation operation includes real-time weather effect simulation and preset weather effect simulation.

[0086] Specifically, a weather simulation button is displayed on the management platform page. The weather simulation button is used to trigger a weather simulation operation on the airport spatial model. The terminal responds to the triggering operation of the weather simulation button and obtains airport environmental data and meteorological data.

[0087] like Figure 9The diagram shown is a schematic of a management platform page in one embodiment. The management platform page displays a real-time weather simulation button 902 and preset weather simulation buttons (904a-904e). The weather simulation button is used to trigger a real-time weather effect simulation operation, and the preset weather simulation button is used to trigger a preset weather effect simulation operation. Airport management personnel can click on either the weather simulation button 902 or the preset weather simulation button (904a-904e). The terminal responds to the real-time weather effect simulation operation triggered by the weather simulation button to obtain airport environmental data and meteorological data, or responds to the preset weather effect simulation operation triggered by the preset weather simulation button to obtain airport environmental data and meteorological data.

[0088] In one embodiment, S204 specifically includes the following steps: collecting indoor and outdoor environmental data of the airport through environmental acquisition equipment to obtain airport environmental data; obtaining airport weather reports and parsing airport weather reports to obtain meteorological data; or obtaining simulated meteorological data based on weather simulation operations.

[0089] It should be noted that environmental data acquisition devices are installed in various indoor and outdoor areas of the airport. These devices collect indoor and outdoor environmental data in real time and send the collected data to the terminal, which then obtains the airport environmental data.

[0090] In addition, the weather simulation operation includes real-time weather effect simulation operation and preset weather effect simulation operation. It can be understood that when the weather simulation operation is a real-time weather effect simulation operation, the terminal obtains real-time meteorological data by acquiring and parsing the airport weather report. When the weather simulation operation is a preset weather effect simulation operation, the terminal acquires the simulated meteorological data corresponding to the preset weather effect simulation operation.

[0091] like Figure 9 As shown, when the airport manager clicks the preset weather simulation button 904b, the terminal obtains the simulated meteorological data corresponding to a sunny day; when the airport manager clicks the preset weather simulation button 904c, the terminal obtains the simulated meteorological data corresponding to a rainy day.

[0092] In this embodiment, the environmental data acquisition device can specifically be an IoT detection device. It is understood that an IoT detection device installed outdoors at the airport is used to detect outdoor environmental data to obtain outdoor airport environmental data; an IoT detection device installed indoors at the airport is used to detect indoor environmental data to obtain indoor airport environmental data. Outdoor airport environmental data may specifically include rainfall, rainfall speed, wind speed, visibility, etc., while indoor airport environmental data may specifically include brightness, temperature, humidity, air quality, etc.

[0093] like Figure 10 (A) shows a schematic diagram of a wind speed sensor in an IoT detection device, used to detect wind speed in one embodiment. Figure 10 (B) shows the specific attribute information of the wind speed sensor.

[0094] like Figure 11 As shown in (A), this is a schematic diagram of a temperature and humidity sensor for an IoT detection device in one embodiment, used to detect temperature and humidity. Figure 11 (B) shows the specific attribute information of the temperature and humidity sensor.

[0095] Airport weather reports are used to reflect the real-time weather conditions at the airport. Specifically, they can be reports in Morse code format. By parsing the Morse code reports, the airport's meteorological data can be obtained. Meteorological data can include numerical data such as wind direction, wind speed, visibility, cloud base height, air temperature, dew point temperature, and corrected sea level pressure, as well as non-numerical weather phenomena such as thunderstorms, rainfall, snowfall, and sandstorms, and the intensity of these weather phenomena.

[0096] In this embodiment, environmental data of the airport's indoor and outdoor environments is collected by environmental acquisition equipment to obtain airport environmental data; airport weather reports are obtained and analyzed to obtain meteorological data; or simulated meteorological data is obtained based on weather simulation operations. In this way, various weather data can be obtained quickly and comprehensively, and the weather can be simulated more realistically, making the weather simulation effect more accurate.

[0097] S206 generates a weather simulation model based on airport environmental data and meteorological data.

[0098] Among them, the weather simulation model is used to simulate the weather conditions at the airport.

[0099] Specifically, after obtaining airport environmental data and meteorological data, the terminal acquires a preset weather simulation algorithm. Based on the airport environmental data and meteorological data, the weather simulation algorithm determines various simulation parameters of the weather simulation model to be generated. Then, based on the determined simulation parameters, the weather simulation algorithm simulates the real-time weather conditions of the airport to obtain the simulation model.

[0100] Among them, the weather simulation algorithm can be a particle system-based simulation algorithm, an image-based simulation algorithm, a texture-based simulation algorithm, or a comprehensive method. The comprehensive method is a combination of at least two of the particle system-based simulation algorithm, the image-based simulation algorithm, and the texture-based simulation algorithm.

[0101] In one embodiment, S206 specifically includes the following steps: determining the meteorological type corresponding to the meteorological data; determining the simulation parameters under the meteorological type based on the airport environmental data and meteorological data; and generating a weather simulation model based on the meteorological type and simulation parameters.

[0102] Among them, meteorological type refers to the type of weather phenomenon, which can be sunny, cloudy (cloudy), rain, snow, thunder, fog, frost, hail, haze, sandstorm, etc. Simulation parameters are the parameters used to generate the target model when performing weather simulation. For example, when the weather simulation algorithm is based on a particle system simulation algorithm, the simulation parameters can be the particle size, the force parameters of the particles, the motion parameters of the particles, the illumination parameters of the particles, etc.

[0103] Specifically, after obtaining meteorological data, the terminal can directly determine the meteorological type based on the weather phenomenon data in the meteorological data, and determine the weather intensity and other weather parameters under the meteorological type based on the airport environmental data and meteorological data. Based on the determined weather intensity and other weather parameters, the simulation parameters under the meteorological type are determined, and a weather simulation model is generated based on the meteorological type and simulation parameters.

[0104] For example, if the weather type is "rain" and the weather intensity is heavy rainfall, and other weather parameters include rainfall speed, wind direction, wind speed, and visibility, then the simulation parameters corresponding to the weather type "rain" are determined based on the determined heavy rainfall weather, rainfall speed, wind direction, wind speed, and visibility, and a weather simulation model is generated based on the weather type "rain" and the simulation parameters.

[0105] In this embodiment, by determining the meteorological type corresponding to the meteorological data, weather simulation parameters under the meteorological type are generated based on the airport environmental data and meteorological data, and a weather simulation model is generated based on the meteorological type and weather simulation parameters, making the weather simulation effect more accurate.

[0106] S208 integrates the weather simulation model into the airport spatial model for display, and displays airport environmental data and meteorological data.

[0107] Specifically, after obtaining the weather simulation model and the airport spatial model, the terminal adjusts the weather simulation model accordingly based on the structural characteristics of the airport buildings in the airport spatial model to obtain an adjusted weather simulation model. This adjusted weather simulation model is then overlaid onto the airport spatial model, thus integrating the weather simulation model into the airport spatial model to obtain an airport spatial model that incorporates the weather simulation model. This integrated airport spatial model is then displayed on the management platform page. This integrated airport spatial model can also be called the airport weather spatial model. It can demonstrate the airport's performance under certain weather conditions, allowing airport personnel to intuitively understand the impact of weather on airport operations. Simultaneously, the management platform page can also display airport environmental and meteorological data, enabling airport personnel to quickly obtain relevant data and make timely decisions based on it.

[0108] like Figure 12 The diagram shown is a schematic of the management platform page in one embodiment. The diagram shows a real-time airport spatial model 1202 under foggy weather and current airport meteorological data 1204.

[0109] S210, when the airport environmental state is determined to meet the preset abnormal conditions based on the airport spatial model, airport environmental data and meteorological data based on the fusion weather simulation model, an abnormality handling plan is determined according to the airport environmental state.

[0110] The preset abnormal conditions are used to determine whether an abnormality has occurred in the airport environment. Specifically, preset abnormal conditions can be at least one of the following: abnormal visibility, abnormal cloud base height, and abnormal weather phenomena. The anomaly handling plan is a plan for adjusting airport flight takeoff and landing schedules and properly accommodating waiting passengers when an abnormality occurs in the airport environment, for safety reasons. The anomaly handling plan may vary depending on the specific abnormal situation.

[0111] For example, when the airport environmental condition is determined to be moderate visibility, high cloud base, and severe thunderstorms based on the airport spatial model, airport environmental data, and meteorological data fused from a weather simulation model, and the weather phenomenon "severe thunderstorms" in this airport environmental condition is determined to meet the abnormal weather phenomenon conditions, then the corresponding abnormal handling plan for the airport environmental condition "severe thunderstorms" is determined; when the airport environmental condition is determined to be low visibility, high cloud base, and fog based on the airport spatial model, airport environmental data, and meteorological data fused from a weather simulation model, and the weather phenomenon "severe thunderstorms" in this airport environmental condition is determined to meet the abnormal weather phenomenon conditions, then the corresponding abnormal handling plan for the airport environmental condition "severe thunderstorms" is determined. If the visibility condition "low visibility" meets the visibility anomaly conditions, then the anomaly handling plan corresponding to the airport environmental condition "low visibility" is determined. When the airport environmental condition is determined to be low visibility, high cloud base, and sandstorm based on the airport spatial model, airport environmental data, and meteorological data fused with the weather simulation model, then the visibility condition "low visibility" meets the visibility anomaly conditions, and the airport environmental condition "sandstorm" meets the weather phenomenon anomaly conditions, then the anomaly handling plan corresponding to the airport environmental conditions "low visibility" and "sandstorm" is determined.

[0112] In one embodiment, S210 specifically includes the following steps: when the airport visibility meets the preset anomaly conditions based on the airport spatial model, airport environmental data, and meteorological data fused with the weather simulation model, determine the environmental anomaly level corresponding to the airport visibility; when the environmental anomaly level reaches the preset level condition, obtain an anomaly handling scheme that matches the environmental anomaly level.

[0113] Airport visibility refers to the visibility within the airport's environmental conditions; environmental anomaly level characterizes the degree of visibility anomaly. For example, lower visibility corresponds to a higher environmental anomaly level, indicating a greater degree of environmental anomaly. Preset level conditions are the level conditions that require anomaly handling.

[0114] Specifically, when the airport visibility meets the visibility anomaly conditions, the terminal obtains the environmental anomaly level corresponding to the visibility, determines whether the environmental anomaly level has reached the preset level conditions, and obtains the anomaly handling plan that matches the environmental anomaly level when the environmental anomaly level reaches the preset level conditions.

[0115] For example, environmental anomaly levels are divided into four levels from low to high: Level 1, Level 2, Level 3, and Level 4. The preset level condition is Level 3, which means that no anomaly handling is required when the environmental anomaly level is below Level 3. In other words, if the environmental anomaly level is Level 3 or 4 and the preset level condition is not met, no anomaly handling will be performed. If the environmental anomaly level is Level 1 and the preset level condition is met, the anomaly handling plan corresponding to Level 1 will be obtained. If the environmental anomaly level is Level 2 and the preset level condition is met, the anomaly handling plan corresponding to Level 2 will be obtained.

[0116] In the aforementioned dynamic management method for airport data, a visualized airport spatial model is displayed in response to a display operation triggered on the management platform page; airport environmental data and meteorological data are acquired in response to a weather simulation operation on the airport spatial model; a weather simulation model is generated based on the airport environmental data and meteorological data; the weather simulation model is integrated into the airport spatial model for display, along with the airport environmental data and meteorological data; when the airport environmental state is determined to meet preset abnormal conditions based on the airport spatial model, airport environmental data, and meteorological data integrated with the weather simulation model, an abnormality handling plan is determined based on the airport environmental state. This allows for multi-dimensional and efficient dynamic management of airport data, improving the efficiency of airport data management.

[0117] In one embodiment, after obtaining airport environmental data, the terminal can also determine whether the airport environmental data exceeds the environmental indicator threshold, and issue an alarm message when the airport environmental data exceeds the environmental indicator threshold; at the same time, it initiates a linkage request to the central management platform so that the central management platform can perform resource scheduling based on the airport environmental data; wherein, the scheduled resources are used to adjust the airport environment.

[0118] Airport environmental data includes both indoor and outdoor environmental data, with different data types corresponding to specific environmental indicator thresholds. The central management platform refers to the airport data management platform, also known as the data management center.

[0119] Specifically, after obtaining airport indoor environmental data, the terminal determines whether the data exceeds the indoor environmental indicator threshold. If the data exceeds the threshold, an alarm is generated and issued based on the exceeding indoor environmental data. After obtaining airport outdoor environmental data, the terminal determines whether the data exceeds the outdoor environmental indicator threshold. If the data exceeds the threshold, an alarm is generated and issued based on the exceeding outdoor environmental data. Simultaneously, a linkage request is generated and sent to the central management platform, enabling the central management platform to perform resource scheduling based on the airport environmental data.

[0120] In the above embodiments, the terminal determines whether the airport environmental data exceeds the environmental indicator threshold and issues an alarm when the airport environmental data exceeds the environmental indicator threshold; at the same time, it initiates a linkage request to the central management platform so that the central management platform can perform resource scheduling based on the airport environmental data, thereby enabling airport personnel to promptly detect airport environmental anomalies and handle them in a timely manner, thus improving the efficiency of airport data processing.

[0121] In one embodiment, such as Figure 13 As shown, the dynamic management method for airport data also includes a security management process, which specifically includes the following steps:

[0122] S1302, acquire image data acquired by the image acquisition device.

[0123] The image acquisition device can be a camera.

[0124] Specifically, multiple image acquisition devices can be installed within the airport park and buildings. Each image acquisition device can communicate with a terminal via a network to acquire images of the area it is shooting, obtaining image data, which can be pictures or videos. The image acquisition devices send the acquired image data to the terminal in real time or at regular intervals, and the terminal receives the image data acquired by the image acquisition devices.

[0125] S1304, Recognize the image data to obtain the image recognition result.

[0126] Specifically, after obtaining image data, the terminal uses a preset image recognition model to recognize the image data and obtain the image recognition result.

[0127] The image recognition model can be an artificial intelligence model, which includes a pose recognition model and an object detection model. The pose recognition model is used to identify the pose of people in the image data to determine whether there are any abnormal events related to people. The object detection model is used to detect objects or scenes in the image data to determine whether there are any abnormal events related to objects or scenes.

[0128] It is understandable that abnormal events related to people can be dangerous behaviors such as fighting, falling, or crowds gathering; abnormal events related to objects or scenes can be dangerous events such as smoke, fire, or objects left behind (which may be dangerous goods).

[0129] In one embodiment, the image recognition model is trained based on the RCNN model. This image recognition model can identify postures such as fighting and pushing, or scenes such as fires.

[0130] refer to Figure 14 The diagram shows the network structure of the RCNN model. This RCNN model uses the Selective Search (object detection) algorithm to generate 2k-3k candidate regions from the input image data. The generated candidate regions are then merged according to their color histogram and gradient histogram to obtain merged candidate regions with regular shapes. These merged candidate regions are then input into a CNN network, which extracts features from each candidate region. The extracted features are then input into an SVM classifier, which determines whether the corresponding category is entered. Finally, a bounding box regression regressor is used to fine-tune the classification category and location, thus obtaining the recognition result.

[0131] In one embodiment, the image recognition model is trained based on the FSSD model, which can be used to recognize postures such as falling.

[0132] refer to Figure 15 The diagram shows the network structure of the FSSD model. For the input image, the FSSD model extracts feature maps of different scales through a feature extraction network, and then fuses the feature maps of different scales to obtain a fused feature map. Based on the fused feature map, classification prediction is performed to obtain the pose recognition result.

[0133] The expression for the objective loss function of the FSSD model is shown below. The objective loss function is obtained by a weighted sum of the location loss and the confidence loss:

[0134]

[0135] in, Represents the target loss function. Indicates the confidence loss value. Indicates the position loss value. The weight represents the position loss value, and N represents the number of default boxes matched.

[0136] S1306 When it is determined from the image recognition results that there is an abnormal event in the target airport area, resources are scheduled to resolve the abnormal event.

[0137] The image recognition results include at least one of the pose recognition results and the target detection results, and the resources can be human resources, material resources, or solutions for handling abnormal events.

[0138] Specifically, after obtaining the image recognition results, the terminal determines whether there are any abnormal events in various areas of the airport based on the image recognition results. When it is determined that there are abnormal events in the target airport area, resources are scheduled to resolve the abnormal events.

[0139] Understandably, the terminal can determine whether there are any abnormal events related to people in various areas of the airport based on the posture recognition results; and determine whether there are any abnormal events related to objects or scenes in various areas of the airport based on the target detection results.

[0140] In one embodiment, the terminal performs pose recognition on human objects in the image data, obtains pose recognition results, and determines that there is an abnormal event in the target airport area based on the pose recognition results. It then sends an anomaly handling request to the central management platform so that the central management platform can allocate resources to resolve the abnormal event.

[0141] Specifically, after the terminal performs posture recognition on the human objects in the image data and obtains the posture recognition result, if the posture recognition result shows at least one of the postures of fighting, falling, or crowd gathering, then it is determined that there is an abnormal event. The terminal then obtains the target airport area where the abnormal event occurred, that is, it is determined that there is an abnormal event in the target airport area. Based on the abnormal event, an abnormal event handling request is generated. The abnormal event handling request may carry the abnormal event and the device information of the image acquisition device to which the image data belongs, and the abnormal event handling request is sent to the central management platform. This allows the central management platform to schedule resources to resolve the abnormal event in the target airport area determined by the airport CIM based on the device information of the image acquisition device.

[0142] In one embodiment, the terminal performs target detection on objects or scenes in image data, obtains target detection results, determines that there is an abnormal event in the target airport area based on the target detection results, and sends an anomaly handling request to the central management platform so that the central management platform can schedule resources to resolve the abnormal event.

[0143] Specifically, after the terminal performs pose recognition on objects or scenes in the image data and obtains the target detection result, if the target detection result indicates the presence of at least one of the following: smoke, fire, or stagnant objects (which may be hazardous materials), then an abnormal event is determined to exist. The terminal then obtains the target airport area where the abnormal event occurred, i.e., it determines that an abnormal event exists in the target airport area. Based on the abnormal event, an abnormal event handling request is generated. The abnormal event handling request may carry the device information of the image acquisition device to which the abnormal event image data belongs, and the abnormal event handling request is sent to the central management platform. This allows the central management platform to schedule resources to resolve the abnormal event in the target airport area determined by the airport CIM based on the device information of the image acquisition device.

[0144] For example, if any abnormal event is identified in the target airport area based on image recognition results, such as fighting, falling, crowd gathering, smoke, fire, or goods being left behind (which may be dangerous goods), an abnormality alarm will be simultaneously sent to the central management platform for safety management. Combined with the park's CIM to obtain real-time data and the optimal emergency response plan, emergency evacuation will be carried out by issuing announcements and coordinating with guides.

[0145] In the above embodiments, the terminal acquires image data collected by the image acquisition device, identifies the image data, and obtains image recognition results. Based on the image recognition results, it can quickly determine abnormal events occurring in the airport so as to handle the abnormal events in a timely manner, thereby improving the efficiency of airport data processing and enhancing airport security.

[0146] In one embodiment, such as Figure 16 As shown, the above-mentioned dynamic management method for airport data also includes an object quantity detection process, which specifically includes the following steps:

[0147] S1602, acquire video data of the corresponding airport area collected by the target camera.

[0148] Among them, the airport area corresponding to the target camera is the area where the number of objects needs to be detected, and the target camera is the camera set in the area where the number of objects needs to be detected.

[0149] S1604, Perform object count detection on the video data to obtain the object count detection result.

[0150] Specifically, after obtaining the video data, the terminal performs object quantity detection on the video data using a preset object quantity detection model to obtain the object quantity detection result.

[0151] Among them, the object quantity detection model can be an artificial intelligence model, used to count the number of objects and dwell time in video data. The object quantity information includes the number of objects entering and leaving the video, and the dwell time refers to the time that an object stays in the corresponding airport area of ​​the target camera.

[0152] It should be noted that after the terminal detects the number of objects and their dwell time by using the object quantity detection model to detect video data, it can further obtain product interaction information of the objects within the corresponding airport area of ​​the target camera, and include this product interaction information as part of the object quantity detection result. Product interaction information can include the object's consumption information within the corresponding airport area of ​​the target camera, such as the amount spent and the products purchased.

[0153] In one embodiment, the object quantity detection result includes object quantity information. S1604 specifically includes the following steps: extracting moving targets from video images of adjacent frames in the video data based on inter-frame difference; extracting target features from video images of adjacent frames; when the moving target is determined to be a human object based on the target features, determining the motion direction of each moving target; and determining the object quantity information of the corresponding airport area entering the target camera based on the motion direction and the area detection line.

[0154] Specifically, the terminal extracts moving targets from adjacent video frames in the video data using an object quantity detection model based on inter-frame difference. It then extracts target features from these adjacent frames using a feature extraction network within the same object quantity detection model. When the moving target is determined to be a person based on these features, continuous detection is performed to determine the target's direction of movement. A tripwire detection method is used, pre-setting the area detection line, object flow direction, detection start time, and detection method. When the detection method uses "one-way statistics," the number of objects entering the corresponding airport area of ​​the target camera within the detection start time is determined based on the movement direction and the area detection line. When the detection method uses "two-way statistics," the number of objects entering the corresponding airport area of ​​the target camera within the detection start time, as well as the number of objects leaving the corresponding airport area of ​​the target camera, are determined.

[0155] The process of extracting moving targets from adjacent video images in video data based on the inter-frame difference method can be expressed by the following formula:

[0156]

[0157] in, It is a binary image. For the k-th frame image, For the (k-1)th frame image, The threshold value is used.

[0158] refer to Figure 17 The diagram shows the structure of the feature extraction network, which is trained based on the Faster R-CNN model. For an image of arbitrary size P×Q, the Faster R-CNN model first scales it to a fixed size M×N, then feeds the M×N image into a convolutional CNN base network to extract features and obtain a feature map. Anchor boxes are generated using RPN, and after cropping and filtering, they are classified into foreground or background (object or not). Bounding box regression is used to refine the anchor boxes, forming more accurate proposals. RoI pooling (Region of Interest pooling) extracts proposal feature maps from the collected feature maps and proposals, which are then fed into subsequent fully connected layers to determine the target category. Finally, classification probabilities and bounding box regression are jointly trained to improve accuracy.

[0159] refer to Figure 18 The diagram shown illustrates the object quantity statistics task settings page. First, the direction of object flow in the area to be counted is set, and then the task configuration mode is selected. This module allows setting the start and end times for the task, and offers two statistical methods: "one-way statistics" and "two-way statistics." The statistical interval can be selected according to actual needs.

[0160] refer to Figure 19 The statistical results shown in the diagram are as follows: Figure 19 (A) is a real-time view of object quantity detection. Figure 19 (B) is a statistical chart of the object quantity detection results. The chart shows the number of objects entering at each time period.

[0161] S1606 optimizes the corresponding airport area of ​​the target camera based on the object quantity detection results.

[0162] This includes optimizing the airport area corresponding to the target camera. Specifically, this could involve optimizing the configuration of commercial shops within the airport area corresponding to the target camera, or optimizing and adjusting the temperature, humidity, and air quality within the airport area corresponding to the target camera.

[0163] In the above embodiments, the terminal acquires video data of the corresponding airport area collected by the target camera; performs object quantity detection on the video data to obtain the object quantity detection result; and optimizes the corresponding airport area of ​​the target camera based on the object quantity detection result, thereby improving the efficiency of airport data management and optimizing the operation of the airport area.

[0164] In one embodiment, the object quantity detection result includes object quantity information, dwell time, and product interaction information; S1606 specifically includes the following steps: determining interaction requirements based on the object quantity information, dwell time, and product interaction information; and optimizing the products within the corresponding airport area of ​​the target camera according to the interaction requirements.

[0165] Among them, product interaction information can be the consumption information of the object in the corresponding airport area of ​​the target camera, including the consumption amount and the consumed products, etc., and the interaction requirements can be information such as the types of goods, prices of goods and estimated sales volume in the corresponding airport area of ​​the target camera.

[0166] Specifically, the terminal determines the interaction requirements based on the number of objects, dwell time, and product interaction information. Based on the interaction requirements, it evaluates the commercial value of each store in the corresponding airport area of ​​the target camera. Based on the commercial value of each store, it optimizes the configuration of the stores and the products sold in the corresponding airport area of ​​the target camera to meet the interaction requirements.

[0167] In the above embodiments, the terminal determines the interaction requirements based on the number of objects, dwell time, and product interaction information; and optimizes the products in the corresponding airport area of ​​the target camera according to the interaction requirements, thereby improving the efficiency of airport data management and optimizing the commercial configuration in the airport commercial area.

[0168] In one embodiment, the terminal can also determine the object density and object distribution in the corresponding airport area of ​​the target camera based on historical flight information, historical delay information, historical waiting information, and object quantity detection results; generate an environment adjustment request based on the object density and object distribution in the corresponding airport area of ​​the target camera; and send the environment adjustment request to the central management platform so that the central management platform can adjust the status of the environmental equipment in the corresponding airport area of ​​the target camera.

[0169] Historical flight information specifically includes departure and arrival information for historical flights. Historical waiting information refers to the waiting time and distribution of passengers in historical waiting areas.

[0170] Specifically, after obtaining historical flight information, historical delay information, and historical waiting information, the terminal inputs these information into a pre-trained prediction model. The model then predicts the number and distribution of waiting passengers within a specified future time period based on this information. Based on the predicted number and distribution of waiting passengers and the passenger count detection results, the model determines the object density and distribution within the corresponding airport area of ​​the target camera. Furthermore, based on this object density and distribution, the required environmental conditions within the target camera's corresponding airport area are determined. If the required environmental conditions do not match the operating status of the environmental equipment within the target camera's corresponding airport area, an environmental adjustment request is generated and sent to the central management platform, enabling the platform to adjust the status of the environmental equipment within the target camera's corresponding airport area.

[0171] For example, based on the object density and distribution in an airport area, the required lighting time before and after flight takeoff and landing, passenger seating area, and degree of dispersion can be estimated. The optimal operating status of the air conditioning and lighting systems for the current area can be calculated. Based on the current flight and the passengers who have arrived in real time, the operation of the lighting and air conditioning systems can be adjusted to achieve energy conservation and environmental protection while ensuring comfort.

[0172] In the above embodiments, the terminal determines the object density and object distribution in the corresponding airport area of ​​the target camera based on historical flight information, historical delay information, historical waiting information, and object quantity detection results; based on the object density and object distribution in the corresponding airport area of ​​the target camera, it generates an environmental adjustment request; and sends the environmental adjustment request to the central management platform so that the central management platform can adjust the status of environmental equipment in the corresponding airport area of ​​the target camera, thereby improving the efficiency of airport data management and realizing the status adjustment of lighting and temperature control equipment in the airport waiting area, achieving energy conservation and environmental protection for the airport.

[0173] This application also provides an application scenario that applies the aforementioned dynamic management method for airport data, with reference to... Figure 20 The diagram showing airport data fusion, and Figure 21 The diagram shown illustrates the architecture of a dynamic management system for airport data. In this dynamic management method, airport data is... Figure 20 The structures shown are integrated, and the dynamic management method of airport data is achieved through... Figure 21 The dynamic management system for the airport data shown is executed.

[0174] It should be noted that the reference Figure 20In this application scenario, the Airport Smart Space Citybase uses digital twin technology to fully digitize all elements of the infrastructure of the airport park and airport buildings, builds a digital space foundation, and realizes the data integration of buildings, people, things, and objects. The entire scene of the airport park can be viewed on the management platform page of the airport data management platform.

[0175] refer to Figure 21 The dynamic management system for airport data includes the following modules: spatial simulation module, behavior perception module, IoT outdoor detection module, IoT indoor detection module, weather simulation module, object quantity statistics and detection module, and neural network environmental protection algorithm module. The spatial simulation module is used to simulate and model airport buildings, facilities, and equipment within the airport area to obtain an airport spatial model. The behavior perception module is used to detect abnormal events occurring within the airport, enabling timely handling of incidents such as fights, falls, crowd gatherings, smoke, fires, and object stagnation. The IoT outdoor detection module collects outdoor environmental data to provide timely alerts when outdoor environmental data is abnormal and to provide data support for the weather simulation module. The IoT indoor detection module collects indoor environmental data to provide timely alerts when indoor environmental data is abnormal. The system includes several modules: a real-time alarm module; a weather simulation module to simulate real-time or specific weather conditions, allowing personnel to understand the impact of severe weather on the airport and take timely emergency measures; an object quantity statistics and detection module to count the number of objects entering and leaving a specific area of ​​the airport, enabling adjustments to the commercial configuration of the airport's commercial areas or the operation of lighting, air conditioning, and other equipment in the airport's waiting areas; and a neural network environmental protection algorithm module to predict airport waiting conditions in the future based on historical flight, delay, and waiting information. Based on the predicted waiting conditions and object quantity information, it determines the object density in each waiting area and adjusts the operation of lighting, air conditioning, and other equipment in the waiting areas to achieve environmentally friendly and energy-saving operation of airport equipment. Additionally, the system may include a parking management module for unified management of parking fees.

[0176] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0177] Based on the same inventive concept, this application also provides a dynamic management system for airport data to implement the dynamic management method for airport data described above. The solution provided by this system is similar to the implementation scheme described in the above method; therefore, the specific limitations of one or more embodiments of the dynamic management system for airport data provided below can be found in the limitations of the dynamic management method for airport data described above, and will not be repeated here.

[0178] In one embodiment, such as Figure 22 As shown, a dynamic management system for airport data is provided, including: a spatial simulation module 2202, an environmental monitoring module 2204, a weather simulation module 2206, a data display module 2208, and a comprehensive management module 2210, wherein:

[0179] The spatial simulation module 2202 is used to display a visualized airport spatial model in response to display operations triggered on the management platform page.

[0180] The environmental monitoring module 2204 is used to acquire airport environmental data and meteorological data in response to weather simulation operations of the airport spatial model.

[0181] The weather simulation module 2206 is used to generate weather simulation models based on airport environmental data and meteorological data.

[0182] The data display module 2208 is used to integrate the weather simulation model into the airport spatial model for display, and to display airport environmental data and meteorological data.

[0183] The integrated management module 2210 is used to determine an anomaly handling plan based on the airport environmental status when the airport environmental status is determined to meet the preset anomaly conditions based on the airport spatial model, airport environmental data and meteorological data based on the fusion weather simulation model.

[0184] In the above embodiments, a visualized airport spatial model is displayed in response to a display operation triggered on the management platform page; airport environmental data and meteorological data are acquired in response to a weather simulation operation of the airport spatial model; a weather simulation model is generated based on the airport environmental data and meteorological data; the weather simulation model is integrated into the airport spatial model for display, and the airport environmental data and meteorological data are also displayed; when the airport environmental state is determined to meet preset abnormal conditions based on the airport spatial model, airport environmental data, and meteorological data integrated with the weather simulation model, an abnormality handling plan is determined based on the airport environmental state, thereby enabling multi-dimensional and efficient dynamic management of airport data and improving the management efficiency of airport data.

[0185] In one embodiment, the spatial simulation module 2202 is configured to: acquire airport spatial data in response to a display operation triggered on the management platform page; perform sequential transformation and fusion processing on the airport spatial data to obtain processed airport spatial data; construct a visualized airport spatial model based on the processed airport spatial data; and display the visualized airport spatial model from the target perspective according to the target perspective corresponding to the display operation.

[0186] In one embodiment, the environmental detection module 2204 is further configured to: collect indoor and outdoor environmental data of the airport through environmental acquisition equipment to obtain airport environmental data; obtain airport weather reports and parse the airport weather reports to obtain meteorological data; or obtain simulated meteorological data based on weather simulation operations.

[0187] In one embodiment, the environmental detection module 2204 is further configured to: issue an alarm message when the airport environmental data exceeds the environmental indicator threshold; initiate a linkage request to the central management platform so that the central management platform can perform resource scheduling based on the airport environmental data; wherein the scheduled resources are used to adjust the airport environment.

[0188] In one embodiment, the weather simulation module 2206 is further configured to: determine the weather type corresponding to the meteorological data; generate weather simulation parameters under the weather type based on the airport environmental data and the meteorological data; and generate a weather simulation model based on the weather type and the weather simulation parameters.

[0189] In one embodiment, the integrated management module 2210 is further configured to: determine the environmental anomaly level corresponding to the airport visibility when the airport visibility meets the preset anomaly conditions based on the airport spatial model, airport environmental data, and meteorological data fused with the weather simulation model; and obtain an anomaly handling scheme matching the environmental anomaly level when the environmental anomaly level reaches the preset conditions.

[0190] In one embodiment, such as Figure 23As shown, the system also includes an image recognition module 2212, which is used to: acquire image data acquired by the image acquisition device; recognize the image data to obtain image recognition results; and schedule resources to resolve the abnormal event when it is determined that there is an abnormal event in the target airport area based on the image recognition results.

[0191] In one embodiment, the image recognition module 2212 includes a behavior perception submodule, which is used to: perform posture recognition on human objects in image data to obtain posture recognition results; determine that there are abnormal events in the target airport area based on the posture recognition results; and send an exception handling request to the central management platform so that the central management platform can schedule resources to resolve the abnormal events.

[0192] In one embodiment, such as Figure 23 As shown, the system also includes an object quantity statistics module 2214, which is used to: acquire video data of the corresponding airport area collected by the target camera; perform object quantity detection on the video data to obtain the object quantity detection result; and the comprehensive management module 2210 is also used to: optimize the corresponding airport area of ​​the target camera based on the object quantity detection result.

[0193] In one embodiment, the object quantity detection result includes object quantity information; the object quantity statistics module 2214 is also used to: extract moving targets from video images of adjacent frames in the video data based on the inter-frame difference method; extract target features from video images of adjacent frames; when the moving target is determined to be a human object based on the target features, determine the movement direction of each moving target; and determine the object quantity information of the corresponding airport area entering the target camera based on the movement direction and the area detection line.

[0194] In one embodiment, the object quantity detection result includes object quantity information, dwell time, and product interaction information; the object quantity statistics module 2214 is also used to: determine interaction requirements based on the object quantity information, dwell time, and product interaction information; the comprehensive management module 2210 is also used to: optimize the products in the corresponding airport area of ​​the target camera according to the interaction requirements.

[0195] In one embodiment, the object quantity statistics module 2214 is further configured to: acquire historical flight information, historical delay information, and historical waiting information; the comprehensive management module 2210 is further configured to: determine the object density and object distribution in the corresponding airport area of ​​the target camera based on the historical flight information, historical delay information, historical waiting information, and object quantity detection results; generate an environmental adjustment request based on the object density and object distribution in the corresponding airport area of ​​the target camera; and send the environmental adjustment request to the central management platform so that the central management platform can adjust the status of environmental equipment in the target airport area.

[0196] The various modules in the aforementioned dynamic management system for airport data can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0197] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 24 As shown, this computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores airport data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network. When executed by the processor, the computer program implements a dynamic management method for airport data.

[0198] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 25As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a dynamic management method for airport data. The display unit of the computer device is used to form a visually visible image. It can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0199] Those skilled in the art will understand that Figure 24 or Figure 25 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0200] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0201] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0202] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0203] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0204] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0205] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0206] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for dynamic management of airport data, characterized in that, The method includes: In response to a display operation triggered on the management platform page, airport spatial data of different data types are acquired; the airport spatial data is converted to a target format to obtain airport spatial data in a different format; the airport spatial data in the target format is then fused to obtain processed airport spatial data; a visualized airport spatial model is constructed based on the processed airport spatial data; and the visualized airport spatial model is displayed from the target perspective corresponding to the display operation; the target perspective includes the airport runway perspective, apron perspective, terminal interior perspective, terminal exterior perspective, security checkpoint perspective, waiting hall perspective, or boarding gate perspective; the management platform page also displays a weather simulation button; the weather simulation button includes a real-time weather simulation button; the real-time weather simulation button is used to trigger a real-time weather effect simulation operation; In response to the triggering operation of the real-time weather simulation button, environmental data of the airport's indoor and outdoor areas are collected through environmental acquisition equipment to obtain airport environmental data; an airport weather report is obtained, and the airport weather report is parsed to obtain meteorological data; Based on the airport environmental data and meteorological data, a preset weather simulation algorithm is used to determine simulation parameters. The simulation parameters include particle size, particle force parameters, particle motion parameters, and particle illumination parameters. The weather simulation algorithm is a particle system-based simulation algorithm. The weather simulation algorithm is used to simulate the real-time weather conditions of the airport based on the simulation parameters to obtain a weather simulation model. The weather simulation model is integrated into the airport spatial model for display, and the airport environmental data and meteorological data are displayed. When the airport environmental condition is determined to meet the preset abnormal conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data, an abnormality handling plan is determined according to the airport environmental condition.

2. The method according to claim 1, characterized in that, The weather simulation button also includes a preset weather simulation button, and the method further includes: In response to the triggering operation of the preset weather simulation button, environmental data of the airport's indoor and outdoor environments are collected through environmental acquisition equipment to obtain airport environmental data; Obtain simulated meteorological data by pressing the weather simulation button.

3. The method according to claim 2, characterized in that, The method further includes: When the airport environmental data exceeds the environmental indicator threshold, an alarm message is issued; A linkage request is initiated to the central management platform so that the central management platform can perform resource scheduling based on the airport environment data; wherein the scheduled resources are used to adjust the airport environment.

4. The method according to claim 1, characterized in that, When the airport environmental condition is determined to meet preset abnormal conditions based on the airport spatial model fused with the weather simulation model, the airport environmental data, and the meteorological data, an abnormality handling plan is determined according to the airport environmental condition, including: When it is determined that the airport visibility meets the preset abnormal conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data, the environmental abnormality level corresponding to the airport visibility is determined. When the environmental anomaly level reaches a preset condition, an anomaly handling plan matching the environmental anomaly level is obtained.

5. The method according to claim 1, characterized in that, The method further includes: Acquire image data captured by the image acquisition device; The image data is then identified to obtain the image recognition result; When an abnormal event is determined to exist in the target airport area based on the image recognition results, resources are scheduled to resolve the abnormal event.

6. The method according to claim 5, characterized in that, The process of recognizing the image data to obtain the image recognition result includes: Perform pose recognition on the human figures in the image data to obtain pose recognition results; When it is determined based on the image recognition result that an abnormal event exists in the target airport area, the method of scheduling resources to resolve the abnormal event includes: Based on the attitude recognition results, it is determined that an abnormal event exists in the target airport area; An exception handling request is sent to the central management platform so that the central management platform can schedule resources to resolve the exception event.

7. The method according to claim 1, characterized in that, The method further includes: Acquire video data of the corresponding airport area collected by the target camera; The video data is subjected to object count detection to obtain the object count detection result; Based on the object quantity detection results, the corresponding airport area of ​​the target camera is optimized.

8. The method according to claim 7, characterized in that, The object quantity detection result includes object quantity information; The step of performing object count detection on the video data to obtain object count detection results includes: Motion targets are extracted from video images of adjacent frames in the video data based on the inter-frame difference method; Extract target features from the video images in adjacent frames; When the moving target is determined to be a human figure based on the target characteristics, the movement direction of each moving target is determined; Based on the direction of motion and the area detection line, the number of objects entering the corresponding airport area of ​​the target camera is determined.

9. The method according to claim 7, characterized in that, The object quantity detection result includes object quantity information, dwell time, and product interaction information; The optimization process for the corresponding airport area of ​​the target camera based on the object quantity detection results includes: Based on the object quantity information, the dwell time, and the product interaction information, determine the interaction requirements; Based on the interaction requirements, the products within the corresponding airport area of ​​the target camera are optimized.

10. The method according to claim 7, characterized in that, The method further includes: Obtain historical flight information, historical delay information, and historical waiting information; The optimization process for the corresponding airport area of ​​the target camera based on the object quantity detection results includes: Based on the historical flight information, the historical delay information, the historical waiting information, and the object quantity detection results, the object density and object distribution in the corresponding airport area of ​​the target camera are determined; An environment adjustment request is generated based on the object density and object distribution in the corresponding airport area of ​​the target camera; The environmental adjustment request is sent to the central management platform so that the central management platform can adjust the status of the environmental equipment in the corresponding airport area of ​​the target camera.

11. A dynamic management system for airport data, characterized in that, The system includes: The spatial simulation module is used to respond to display operations triggered on the management platform page, acquire airport spatial data of different data types; convert the airport spatial data into a target format to obtain airport spatial data of the target format; fuse the airport spatial data of the target format to obtain processed airport spatial data; construct a visualized airport spatial model based on the processed airport spatial data; and display the visualized airport spatial model from the target perspective corresponding to the display operation; the target perspective can be an airport runway perspective, an apron perspective, a terminal interior perspective, a terminal exterior perspective, a security checkpoint perspective, a waiting hall perspective, or a boarding gate perspective; the management platform page also displays a weather simulation button; the weather simulation button includes a real-time weather simulation button; the real-time weather simulation button is used to trigger a real-time weather effect simulation operation; The environmental monitoring module is used to respond to the triggering operation of the real-time weather simulation button, collect indoor and outdoor environmental data of the airport through environmental acquisition equipment to obtain airport environmental data; obtain airport weather reports, and parse the airport weather reports to obtain meteorological data; The weather simulation module is used to determine simulation parameters based on the airport environmental data and the meteorological data using a preset weather simulation algorithm. The simulation parameters include particle size, particle force parameters, particle motion parameters, and particle illumination parameters. The weather simulation algorithm is a particle system-based simulation algorithm. The real-time weather conditions of the airport are simulated using the weather simulation algorithm based on the simulation parameters to obtain a weather simulation model. The data display module is used to integrate the weather simulation model into the airport spatial model for display, and to display the airport environmental data and the meteorological data; The integrated management module is used to determine an anomaly handling plan based on the airport environmental condition when the airport environmental condition is determined to meet the preset anomaly conditions based on the airport spatial model that integrates the weather simulation model, the airport environmental data, and the meteorological data.

12. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 10.

14. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 10.

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