Airport intelligent inquiry terminal integrated with live-action navigation and printing functions

Abstract

The invention relates to the field of airport intelligent service equipment, in particular to an airport intelligent inquiry terminal integrated with live-action navigation and printing functions, a live-action acquisition module is connected with a navigation control module, and the navigation control module is electrically connected with an interaction module and a printing control module. The data interface module is bidirectionally and electrically connected with the navigation control module and the airport operation system; the live-action acquisition module acquires data and transmits the data to the navigation control module, the navigation control module acquires airport operation system data and performs fusion processing on the live-action acquisition data and the airport operation data to generate a live-action navigation path, and the interaction module receives and displays the live-action navigation path. The printing control module receives the live-action navigation path and a user printing instruction and then drives the printing assembly to output a paper navigation voucher. According to the invention, through data fusion and dynamic path optimization, intelligent printing adaptation and monitoring, double interaction, barrier-free design and emergency response, navigation precision, printing intelligence, interaction humanization and emergency high efficiency are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of airport intelligent service equipment, and in particular to an airport intelligent inquiry terminal integrated with real scene navigation and printing functions. BACKGROUND

[0002] With the continuous growth of airport passenger flow and the continuous improvement of operation scene complexity, airport service related technical equipment is gradually iterated and upgraded. In the early stage, airport inquiry service mainly relies on manual service counter to complete, and the staff needs to manually query flight information and site layout, and then provide direction guidance for passengers. This mode is not only limited by the investment of labor cost, but also difficult to match the concentrated consultation demand of a large number of passengers in peak period. After that, electronic information display screen and self-service inquiry terminal began to be popularized. These devices can display basic flight dynamic information and static site map, which can reduce the pressure of manual service to a certain extent. With further development of technology, navigation function begins to be integrated into airport service system, and 2D plane navigation terminal gradually appears, which can provide simple path planning service for passengers. At the same time, self-service printing equipment is also popularized to output boarding pass itinerary and other certificates, but these devices are mostly single function, and different service modules such as navigation and printing are independent of each other, and the overall technical integration degree is not high.

[0003] From the actual application situation, the existing airport service equipment still has many deficiencies and defects. In terms of navigation, most of the devices adopt static map navigation mode, which cannot obtain the real-time regional congestion situation, obstacle distribution and facility operation state inside the airport, which leads to the deviation of the planned path from the actual scene. When the passengers walk according to the navigation, they may encounter temporary congestion sections or facilities failure, which affects the overall traffic efficiency. In terms of printing function, most of the existing self-service printers can only be fixedly matched with a single type of medium, and it is difficult to adjust the printing parameters according to the thickness and surface characteristics of different papers, which may cause the problems of blurred printing content and paper jam. Moreover, the paper quantity monitoring mechanism is not perfect, and the situation that the remaining paper quantity of the device is insufficient but cannot be early warned to the operation and maintenance personnel often occurs, which causes the passengers to be unable to print the required certificates in time. In terms of interactive experience and special scene response, some devices only support single touch operation mode, the noise reduction effect and semantic analysis accuracy of voice recognition are insufficient, and the barrier-free design for special groups such as old passengers and disabled passengers is also relatively lacking, which is difficult to meet the use demand of different passengers. When an emergency occurs in the airport and needs to be evacuated, the existing devices lack the ability to quickly adjust the navigation logic, and cannot provide evacuation guidance with safety as the core in time, which is difficult to effectively guarantee the safe evacuation of passengers. SUMMARY

[0004] The present application aims at overcoming the above problems, and provides an airport intelligent inquiry terminal integrating real scene navigation and printing functions.

[0005] The airport intelligent inquiry terminal integrating real scene navigation and printing functions comprises a real scene acquisition module, a navigation control module, a printing control module, an interactive module and a data interface module; the output end of the real scene acquisition module is electrically connected with the input end of the navigation control module, the output end of the navigation control module is electrically connected with the input end of the interactive module and the printing control module respectively, and the data interface module is bidirectionally electrically connected with the navigation control module and the airport operation system; the real scene acquisition module collects scene image data, obstacle distance data and three-dimensional coordinate data around the terminal and transmits them to the navigation control module, the navigation control module obtains flight dynamic data, regional congestion data and facility state data of the airport operation system through the data interface module, and generates a real scene navigation path after fusion processing of the real scene acquisition data and the airport operation data by using a multi-source data fusion algorithm; the interactive module receives and displays the real scene navigation path, and the printing control module drives a printing component to output a paper navigation voucher after receiving the real scene navigation path and a user printing instruction.

[0006] Further, the multi-source data fusion algorithm comprises time-space registration, feature association and data complementation, time synchronization and space alignment of the real scene acquisition data and the airport operation data are performed through time-space registration, a mapping relationship between static facility features in the scene image data and dynamic facility state data in the airport operation data is extracted through feature association, and spatial errors in the regional congestion data are corrected by using the obstacle distance data through data complementation.

[0007] Further, the real scene acquisition module comprises a binocular image acquisition module, a laser ranging module and an infrared depth detection module, the binocular image acquisition module outputs scene image data, the laser ranging module outputs obstacle distance data, and the infrared depth detection module outputs three-dimensional coordinate data; the scene image data, the obstacle distance data and the three-dimensional coordinate data are transmitted to a multi-source data fusion module of the navigation control module through a multi-source data synchronization protocol, and the multi-source data synchronization protocol synchronizes the collection time of the three kinds of data through time stamp alignment.

[0008] Further, the navigation control module adjusts the printing adaptation format of the real scene navigation path according to the medium type identified by the printing control module, and the printing control module comprises a medium type identification module; the medium type identification module identifies the medium type by detecting medium thickness data through a thickness sensing module and detecting a medium surface resistance value through a surface characteristic detection module.

[0009] Further, the navigation control module comprises a multi-source data fusion module, an AR path rendering module and a dynamic path optimization module, the multi-source data fusion module performs spatio-temporal registration and fusion on the scene image data, obstacle distance data and three-dimensional coordinate data of the real scene acquisition module, the dynamic path optimization module is internally provided with a path weight calculation model:

[0010] W = a·D + β·C + γ·T;

[0011] wherein W is a path comprehensive evaluation index, D is a physical distance parameter, C is a real-time congestion parameter, generated by the obstacle distance data of the real scene acquisition module, T is a facility state parameter, including elevator operation state, security channel opening number and boarding gate change information, a, β, γ are dynamic weight coefficients, dynamically adjusted according to airport time period characteristics, the weight coefficient β of the real-time congestion parameter increases during peak period, the weight coefficient a of the physical distance parameter increases during flat peak period, and a + β + γ = 1 is satisfied;

[0012] The dynamic path optimization module adjusts the real-time congestion parameter and recalculates the path comprehensive evaluation index according to the real-time updated regional congestion data, and generates an optimal real navigation path.

[0013] Further, the AR path rendering module comprises a feature point extraction module and a virtual information superimposition module, the feature point extraction module identifies the feature points of the signboard, corridor bridge number and ground guide mark in the scene image through an image feature extraction algorithm, the virtual information superimposition module superimposes the navigation arrow, distance prompt and turning mark to the image coordinates corresponding to the feature points, generates an AR navigation picture of virtual-real fusion and transmits it to the display unit of the interaction module, and the virtual information superimposition module adjusts the spatial perspective angle of the virtual mark according to the three-dimensional coordinate data of the real scene acquisition module, so that the virtual information is consistent with the spatial scale of the real scene.

[0014] Further, the print control module further comprises a paper quantity monitoring module and a print parameter adjustment module, the print parameter adjustment module adjusts the print head temperature and paper feeding speed according to the medium type, and the paper quantity monitoring module detects the remaining paper quantity through a photoelectric sensor, when the remaining paper quantity is lower than a set threshold, the print control module sends a paper shortage signal to the airport operation and maintenance system through the data interface module, and the navigation control module prompts the user to select a simplified navigation path printing mode through the interaction module after receiving the paper shortage signal.

[0015] Further, the thickness sensing module of the medium type recognition module detects the medium thickness through a contact type displacement sensor, and the surface characteristic detection module detects the medium surface resistance value through an electrode sheet, the medium thickness data and the medium surface resistance value are compared through a feature matching algorithm, and then a medium type signal is output to the print parameter adjustment module, and the feature matching algorithm matches the preset medium type database through the combined feature of the medium thickness data and the surface resistance value.

[0016] Further, the interaction module includes a voice signal processing module, a touch instruction receiving module, and an accessibility assistance module. The voice signal processing module outputs a digital control instruction to the navigation control module after noise reduction and semantic analysis of the voice signal collected by the microphone array. The touch instruction receiving module receives path selection instructions and printing instructions from the user and transmits them to the navigation control module. The accessibility assistance module includes a height adjustment module and a tactile feedback module. The height adjustment module adjusts the display height according to user instructions. The tactile feedback module generates a preset frequency of vibration feedback through a vibration motor when the user instruction input is complete. The vibration frequency of the tactile feedback module is dynamically adjusted according to the complexity of the navigation path.

[0017] Further, the dynamic path optimization module further includes an emergency scenario processing module. When the data interface module receives an emergency evacuation instruction from the airport operation system, the emergency scenario processing module modifies the path weight calculation model as follows:

[0018] W = λ · S + (1 - λ) · D

[0019] where S is a safety channel priority parameter generated according to the fire channel identification position, emergency exit spacing, and evacuation direction. D is a physical distance parameter. λ is an emergency coefficient. The emergency scenario processing module generates a safety channel navigation path according to the modified path weight calculation model and pushes it to the interaction module.

[0020] The advantages of the present application are:

[0021] 1. The present application integrates real scene collection data and airport operation data, uses a multi-source data fusion algorithm and a dynamic weight adjustment path optimization model, realizes accurate matching of the navigation path and the real-time state of the airport, intelligently avoids congested sections during peak hours, and prioritizes optimizing the travel distance during off-peak hours. The efficiency and accuracy of navigation in the airport are greatly improved, and the travel delay caused by information lag or unreasonable path is effectively reduced, providing more efficient travel guidance for users.

[0022] 2. The present application realizes stable adaptation and continuous service of the printing function through medium type intelligent identification, printing parameter self-adaptive adjustment technology, real-time monitoring of paper quantity, and paper shortage early warning mechanism. The terminal can optimize the printing output effect according to the medium characteristics to ensure clear credentials, and provide a simple version of the printing option to avoid printing interruption, significantly improving the reliability and convenience of the printing service, and reducing the time cost wasted by users due to printing problems.

[0023] 3、The application realizes the comprehensive optimization of operation experience and the rapid response of emergency scene by combining voice touch double interaction mode with barrier-free auxiliary design, and carrying emergency scene path switching mechanism, the terminal adapts to the use demand of different user groups, the barrier-free function improves the operation usability of special groups, and in emergency, it can quickly switch to the navigation path of safety guidance, which not only enhances the universality of the terminal, but also provides reliable support for airport emergency evacuation, and guarantees the safety of personnel traffic. BRIEF DESCRIPTION OF DRAWINGS

[0024] The accompanying drawings, which form a part of this application, are included to provide a further understanding of the application and are incorporated in and constitute a part of this application. The drawings illustrate embodiments of the present application and, together with the description, serve to explain the principles of the present application.

[0025] In the drawings:

[0026] Fig. 1 It is a system framework diagram of an airport intelligent inquiry terminal integrated with real scene navigation and printing function in embodiment 1.

[0027] Fig. 2 It is a real scene acquisition module composition diagram of an airport intelligent inquiry terminal integrated with real scene navigation and printing function in embodiment 1.

[0028] Fig. 3 It is a navigation control module architecture diagram of an airport intelligent inquiry terminal integrated with real scene navigation and printing function in embodiment 1. DETAILED DESCRIPTION

[0029] The application will be described in detail below through specific embodiments, so that the application can be better understood, but the following embodiments do not limit the protection scope of the application.

[0030] Embodiment 1

[0031] As Figs. 1-3As shown, an airport intelligent inquiry terminal integrating real scene navigation and printing functions includes a real scene acquisition module, a navigation control module, a printing control module, an interaction module, and a data interface module. The output end of the real scene acquisition module is electrically connected to the input end of the navigation control module. The output end of the navigation control module is electrically connected to the input end of the interaction module and the input end of the printing control module, respectively. The data interface module is bidirectionally electrically connected to the navigation control module and the airport operation system. The real scene acquisition module collects terminal surrounding scene image data, obstacle distance data, and three-dimensional coordinate data and transmits them to the navigation control module. The navigation control module obtains flight dynamic data, regional congestion data, and facility status data of the airport operation system through the data interface module. After fusion processing of the real scene acquisition data and the airport operation data using a multi-source data fusion algorithm, a real scene navigation path is generated. The interaction module receives and displays the real scene navigation path. The printing control module receives the real scene navigation path and user printing instructions and then drives the printing component to output a paper navigation voucher.

[0032] In specific embodiments, the terminal builds five core modules to form a complete operation system. Each module realizes efficient data flow and orderly instruction transmission through precise electrical connection. The real scene acquisition module focuses on capturing key information of the surrounding environment. Scene image data provides a visual basis for navigation. Obstacle distance data avoids traffic obstructions. Three-dimensional coordinate data ensures accurate spatial positioning. These three types of data collectively lay a solid data foundation for navigation path generation. The navigation control module, as the core processing unit, bidirectionally interfaces the airport operation system through the data interface module, and obtains key operation data such as flight dynamics, regional congestion, and facility status in real time. Then, it uses a multi-source data fusion algorithm to deeply integrate the two types of data, so that the generated real scene navigation path not only fits the real environment but also matches the real-time operation of the airport. The interaction module intuitively presents the navigation path, making it easy for users to quickly view. The printing control module responds to user printing needs, drives the component to output a paper voucher, and meets the usage habits of some users who prefer physical guides. Overall, the terminal realizes the organic integration of navigation and printing functions, and improves the comprehensiveness of terminal services.

[0033] Further, the multi-source data fusion algorithm includes time-space registration, feature association, and data complementation. Time-space registration is used for time synchronization and spatial alignment of real scene acquisition data and airport operation data. Feature association extracts the mapping relationship between static facility features in scene image data and dynamic facility status data in airport operation data. Data complementation uses obstacle distance data to correct spatial errors in regional congestion data.

[0034] In specific embodiments, the multi-source data fusion algorithm guarantees the accuracy of data processing through three key links. The spatio-temporal registration link realizes the accurate alignment of the two types of data in the time dimension and the space dimension, ensures that the real-time environmental data collected by the real scene and the dynamic data of the airport operation system are matched in the time node and the space position, and avoids navigation deviation caused by different data. The feature association link deeply excavates the internal relationship between the data, extracts static facility features from the scene image data, and corresponds to the dynamic facility state data in the airport operation data, establishes a stable mapping relationship, so that the navigation path can reflect the real-time use state of the facility. The data complementary link takes advantage of each type of data, uses the accuracy of the obstacle distance data to correct the spatial error in the congestion data, reduces the deviation of congestion judgment, and through the joint action of the three links, the algorithm can efficiently integrate multi-source data.

[0035] Further, the real scene acquisition module includes a binocular image acquisition module, a laser ranging module, and an infrared depth detection module. The binocular image acquisition module outputs scene image data, the laser ranging module outputs obstacle distance data, and the infrared depth detection module outputs three-dimensional coordinate data. The scene image data, obstacle distance data, and three-dimensional coordinate data are transmitted to the multi-source data fusion module of the navigation control module through a multi-source data synchronization protocol. The multi-source data synchronization protocol synchronizes the collection time of the three types of data through timestamp alignment.

[0036] In specific embodiments, the real scene acquisition module ensures the comprehensiveness and accuracy of environmental data collection. The binocular image acquisition module is responsible for capturing clear scene image data, providing intuitive visual reference for navigation. The laser ranging module accurately measures obstacle distance data, helping to avoid obstacles. The infrared depth detection module obtains three-dimensional coordinate data, providing support for spatial positioning. After the generation of the three types of data, they are transmitted to the multi-source data fusion module of the navigation control module through a multi-source data synchronization protocol. This protocol uses timestamp alignment technology to realize strict synchronization of the collection time of the three types of data, ensuring consistency of the data transmitted to the fusion module in the time dimension and avoiding fusion deviation caused by data collection time difference.

[0037] Further, the navigation control module adjusts the print adaptation format of the real scene navigation path according to the medium type identified by the print control module. The print control module includes a medium type identification module, which identifies the medium type by detecting medium thickness data through a thickness sensing module and detecting medium surface resistance value through a surface characteristic detection module.

[0038] In specific embodiments, the media type identification module of the printing control module accurately determines the media type through a double detection mechanism, the thickness sensing module is specifically used to detect media thickness data, and the surface characteristic detection module is used to focus on collecting media surface resistance values. The combination of the two types of data forms the core characteristics of the media, thereby achieving accurate identification of different media types. The navigation control module and the printing control module form an efficient linkage, real-time receive media type identification results, and adjust the printing adaptation format of the real scene navigation path according to the characteristics of different media, so that the content of the printing output can be perfectly adapted to the media, avoiding problems such as printing blur and incomplete content caused by format mismatch, significantly improving the output quality of paper navigation credentials, and ensuring that users can clearly view navigation information.

[0039] Further, the navigation control module includes a multi-source data fusion module, an AR path rendering module, and a dynamic path optimization module. The multi-source data fusion module performs spatio-temporal registration and fusion of scene image data, obstacle distance data, and three-dimensional coordinate data collected by the real scene acquisition module. The dynamic path optimization module has a built-in path weight calculation model:

[0040] W = a · d + b · C + g · T;

[0041] wherein W is the path comprehensive evaluation index, D is the physical distance parameter, C is the real-time congestion parameter, which is generated by the obstacle distance data of the real scene acquisition module, T is the facility state parameter, including the elevator operation state, the number of security channel openings, and the boarding gate change information, a, b, g are dynamic weight coefficients, which are dynamically adjusted according to the characteristics of the airport time period. The weight coefficient b of the real-time congestion parameter increases during peak hours, and the weight coefficient a of the physical distance parameter increases during flat peak hours, and a + b + g = 1 is satisfied.

[0042] The dynamic path optimization module adjusts the real-time congestion parameter and recalculates the path comprehensive evaluation index according to the real-time updated regional congestion data, and generates the optimal real navigation path.

[0043] In specific embodiments, the navigation control module integrates three core modules to achieve all-round optimization of navigation functions. The multi-source data fusion module is specially designed to perform spatio-temporal registration and fusion of the three types of data obtained by the real scene acquisition module, integrating scattered environmental data into a unified high-quality data set, providing a solid foundation for subsequent path generation. The AR path rendering module focuses on improving the intuitiveness of navigation, allowing users to more clearly identify navigation guidance. The dynamic path optimization module has a built-in path weight calculation model that evaluates the pros and cons of paths through multiple parameters, and the real-time congestion parameter is generated by the obstacle distance data of the real scene acquisition module, accurately reflecting road congestion. The facility status parameter covers key information such as elevator operation, security channel opening number, and boarding gate changes, fully considering traffic influencing factors. The dynamic weight coefficients a, b, and g are flexibly adjusted according to the characteristics of the airport time period, focusing on avoiding congestion during peak hours and increasing the b weight, while during off-peak hours, the focus is on shortening the journey and increasing the a weight, while satisfying the constraint condition that the sum of the three is 1. The module can also respond to updates in regional congestion data in real time, adjust the real-time congestion parameter and recalculate the W value in a timely manner, continuously optimize the navigation path, and ensure that the generated path is always the current optimal path, making the user's traffic more efficient and smoother.

[0044] Further, the AR path rendering module includes a feature point extraction module and a virtual information superimposition module. The feature point extraction module identifies the feature points of signboards, corridor bridge numbers, and ground guide signs in scene images through image feature extraction algorithms. The virtual information superimposition module superimposes navigation arrows, distance prompts, and turning signs onto the image coordinates corresponding to the feature points, generates an AR navigation picture that combines virtual and real information, and transmits it to the display unit of the interaction module. The virtual information superimposition module adjusts the spatial perspective angle of the virtual signs based on the three-dimensional coordinate data of the real scene acquisition module, ensuring that the virtual information is consistent with the spatial scale of the real scene.

[0045] In specific embodiments, the two sub-modules of the AR path rendering module work together to create an immersive navigation experience. The feature point extraction module uses image feature extraction algorithms to accurately identify the feature points of key elements such as signboards, corridor bridge numbers, and ground guide signs in scene images, providing accurate positioning benchmarks for virtual information superimposition. The virtual information superimposition module accurately superimposes practical navigation information such as navigation arrows, distance prompts, and turning signs onto the image coordinates corresponding to the feature points, forming an AR navigation picture that combines virtual and real information and transmitting it to the display unit of the interaction module. At the same time, the module adjusts the spatial perspective angle of the virtual signs flexibly based on the three-dimensional coordinate data of the real scene acquisition module, ensuring that the virtual information is completely consistent with the spatial scale of the real scene, allowing users to feel the natural integration of virtual signs and real environment when viewing navigation, effectively reducing navigation understanding difficulty and improving path recognition accuracy and efficiency.

[0046] Further, the printing control module further comprises a paper quantity monitoring module and a printing parameter adjustment module. The printing parameter adjustment module adjusts the printing head temperature and the paper feeding speed according to the medium type. The paper quantity monitoring module detects the remaining paper quantity through an optical sensor. When the remaining paper quantity is lower than a set threshold, the printing control module sends a paper quantity shortage signal to the airport operation and maintenance system through the data interface module. The navigation control module prompts the user to select a simplified navigation path printing mode through the interaction module after receiving the paper quantity shortage signal.

[0047] In specific embodiments, the two sub-modules in the printing control module further improve the stability and continuity of the printing service. The printing parameter adjustment module adjusts the printing head temperature and the paper feeding speed according to the identified medium type, so that the printing process can adapt to the characteristics of different media, effectively reducing the occurrence of problems such as paper jamming and blurred printing, and ensuring stable printing quality. The paper quantity monitoring module monitors the remaining paper quantity in real time through an optical sensor, establishing a reliable paper quantity warning mechanism. When the remaining paper quantity is lower than a set threshold, the printing control module immediately sends a paper quantity shortage signal to the airport operation and maintenance system through the data interface module, reminding the staff to replenish paper in a timely manner. At the same time, the navigation control module synchronously receives the signal and prompts the user to select a simplified navigation path printing mode through the interaction module, so that the user can still obtain core navigation information in the case of limited paper quantity, avoiding interruption of the printing service due to insufficient paper quantity, and fully meeting the user's usage needs.

[0048] Further, the thickness sensing module of the medium type identification module detects the medium thickness through a contact displacement sensor, and the surface characteristic detection module detects the medium surface resistance value through an electrode sheet. After the medium thickness data and the medium surface resistance value are compared through a feature matching algorithm, a medium type signal is output to the printing parameter adjustment module. The feature matching algorithm matches the combination of the medium thickness data and the surface resistance value with a preset medium type database.

[0049] In specific embodiments, the thickness sensing module of the medium type identification module uses a contact displacement sensor to accurately detect the medium thickness, and the surface characteristic detection module efficiently collects the medium surface resistance value through an electrode sheet. These two types of detection data comprehensively reflect the core physical characteristics of the medium. The feature matching algorithm deeply processes these two types of data, compares the combination of the medium thickness data and the surface resistance value with the preset medium type database one by one, determines the specific type of the medium through accurate feature matching, and quickly outputs a medium type signal to the printing parameter adjustment module. This mode of double detection and algorithm matching greatly improves the accuracy of medium type identification, provides a reliable basis for accurate adjustment of printing parameters, and ensures that the printing process can fully adapt to the characteristics of the medium, further optimizing the printing effect.

[0050] Further, the interaction module comprises a voice signal processing module, a touch instruction receiving module, and an accessibility assistance module. The voice signal processing module outputs a digital control instruction to the navigation control module after noise reduction and semantic analysis of the voice signal collected by the microphone array. The touch instruction receiving module receives a path selection instruction and a printing instruction of the user and transmits them to the navigation control module. The accessibility assistance module comprises a height adjustment module and a tactile feedback module. The height adjustment module adjusts the display height according to the user instruction. The tactile feedback module generates a vibration feedback of a preset frequency through a vibration motor when the user instruction input is completed. The vibration frequency of the tactile feedback module is dynamically adjusted according to the complexity of the navigation path.

[0051] In specific embodiments, the interaction module meets the operation needs of different users through multiple module designs, thereby improving the ease of use of the terminal. The voice signal processing module performs noise reduction processing on the voice signal collected by the microphone array to remove environmental interference and then performs accurate semantic analysis to convert the voice instruction into a digital control instruction and transmit it to the navigation control module, so that the user can conveniently operate through voice. The touch instruction receiving module accurately receives the path selection instruction and the printing instruction of the user to ensure the accuracy and timeliness of the instruction transmission. The accessibility assistance module fully considers the special user needs. The height adjustment module can flexibly adjust the display height according to the user instruction, which is convenient for users of different heights or with difficulty in movement to view. The tactile feedback module generates a vibration feedback of a preset frequency through a vibration motor when the user instruction input is completed, which informs the user that the instruction has been received. Moreover, the vibration frequency is dynamically adjusted according to the complexity of the navigation path. The more complex the path is, the more recognizable the vibration frequency is, which helps the user to intuitively perceive the navigation difficulty and improves the smoothness and humanization of the operation experience.

[0052] Further, the dynamic path optimization module further comprises an emergency scenario processing module. When the data interface module receives an emergency evacuation instruction of the airport operation system, the emergency scenario processing module modifies the path weight calculation model as follows:

[0053] W = λ · S + (1 - λ) · D;

[0054] wherein S is a safety channel priority parameter generated according to the fire channel identification position, the emergency exit distance, and the evacuation direction, D is a physical distance parameter, and λ is an emergency coefficient. The emergency scenario processing module generates a safety channel navigation path according to the modified path weight calculation model and pushes it to the interaction module.

[0055] In a specific embodiment, the emergency scene processing module of the dynamic path optimization module is specially used to deal with airport emergencies, and provides protection for personnel safety evacuation. When the data interface module receives an emergency evacuation instruction of the airport operation system, the emergency scene processing module immediately starts an emergency response mechanism, and the original path weight calculation model is corrected in a targeted manner. In the new model, the safety passage priority parameter S becomes a core consideration factor. The parameter is generated by the fire passage identification position, the emergency exit spacing and the evacuation direction, and can accurately reflect the optimal route of safety evacuation. The emergency coefficient highlights the safety orientation, so that the model calculation focuses more on the selection of the safety passage, and at the same time, the physical distance parameter D is considered to ensure that the evacuation path is safe and efficient. The module quickly generates a safety passage navigation path according to the corrected model, and timely pushes the path to the interaction module to display to the user, so as to provide clear guidance for the rapid and safe evacuation of personnel in emergency situations, and to maximize the protection of the user's life safety.

[0056] The specific embodiments of the present application are described in detail above, but they are only examples, and the present application is not equivalent to the specific embodiments described above. Any equivalent modification and replacement of the present application made by those skilled in the art are also within the scope of the present application. Therefore, any equivalent transformation and modification made without departing from the spirit and scope of the present application should be covered within the scope of the present application.

Claims

1. An airport intelligent inquiry terminal integrated with real scene navigation and printing functions, characterized in that, The real scene acquisition module, the navigation control module, the printing control module, the interactive module and the data interface module are connected with each other, and the real scene acquisition module is connected with the navigation control module, the interactive module and the printing control module, and the data interface module is connected with the navigation control module and the airport operation system.

2. The airport intelligent inquiry terminal integrated with real scene navigation and printing function according to claim 1, characterized in that, The multi-source data fusion algorithm includes time-space registration, feature association and data complementation, the time synchronization and space alignment of the real scene acquisition data and the airport operation data are realized through time-space registration, the mapping relationship between the static facility features in the scene image data and the dynamic facility state data in the airport operation data is extracted through feature association, and the spatial error in the regional congestion data is corrected through the obstacle distance data through data complementation.

3. The airport intelligent kiosk terminal integrated with real scene navigation and printing function according to claim 2, characterized in that, The real scene acquisition module includes a binocular image acquisition module, a laser ranging module and an infrared depth detection module, the binocular image acquisition module outputs scene image data, the laser ranging module outputs obstacle distance data, and the infrared depth detection module outputs three-dimensional coordinate data.

4. The airport intelligent kiosk terminal integrated with real scene navigation and printing function according to claim 3, characterized in that, The navigation control module adjusts the printing adaptation format of the real scene navigation path according to the medium type identified by the printing control module, the printing control module includes a medium type identification module, the medium type identification module identifies the medium type by detecting the medium thickness data through a thickness sensing module and detecting the medium surface resistance value through a surface characteristic detection module.

5. The airport kiosk terminal of claim 4, wherein, The navigation control module includes a multi-source data fusion module, an AR path rendering module and a dynamic path optimization module, the multi-source data fusion module performs time-space registration fusion on the scene image data, the obstacle distance data and the three-dimensional coordinate data of the real scene acquisition module, and the dynamic path optimization module is internally provided with a path weight calculation model: W=α·D+β·C+γ·T; Wherein, W is a path comprehensive evaluation index, D is a physical distance parameter, C is a real-time congestion parameter generated by the obstacle distance data of the real scene acquisition module, T is a facility state parameter including elevator operation state, security channel opening number and boarding gate change information, and a, b, g are dynamic weight coefficients dynamically adjusted according to airport time period characteristics, the weight coefficient b of the real-time congestion parameter increases during peak time period, the weight coefficient a of the physical distance parameter increases during flat peak time period, and a+b+g=1 is satisfied. The dynamic path optimization module adjusts the real-time congestion parameter and recalculates the path comprehensive evaluation index according to the real-time updated regional congestion data to generate the optimal real-time navigation path.

6. The airport kiosk terminal of claim 5, wherein, The AR path rendering module includes a feature point extraction module and a virtual information superimposition module, the feature point extraction module identifies the feature points of the signboard, corridor bridge number and ground guide mark in the scene image through an image feature extraction algorithm, the virtual information superimposition module superimposes the navigation arrow, distance prompt and turning mark to the image coordinates corresponding to the feature points to generate the AR navigation picture of virtual-real fusion and transmit to the display unit of the interaction module, and the virtual information superimposition module adjusts the spatial perspective angle of the virtual mark according to the three-dimensional coordinate data of the real scene acquisition module to make the virtual information consistent with the spatial scale of the real scene.

7. The airport kiosk terminal of claim 6, wherein, The printing control module further includes a paper quantity monitoring module and a printing parameter adjustment module, the printing parameter adjustment module adjusts the printing head temperature and paper feeding speed according to the medium type, and the paper quantity monitoring module detects the remaining paper quantity through a photoelectric sensor, when the remaining paper quantity is lower than a set threshold, the printing control module sends a paper shortage signal to the airport operation and maintenance system through the data interface module, and the navigation control module prompts the user to select a simple version navigation path printing mode through the interaction module after receiving the paper shortage signal.

8. The airport kiosk terminal of claim 7, wherein, The thickness sensing module of the medium type identification module detects the medium thickness through a contact type displacement sensor, the surface characteristic detection module detects the medium surface resistance value through an electrode sheet, the medium thickness data and the medium surface resistance value are compared through a feature matching algorithm, and then a medium type signal is output to the printing parameter adjustment module, and the feature matching algorithm matches the combination feature of the medium thickness data and the surface resistance value with a preset medium type database.

9. The airport kiosk terminal of claim 8, wherein, The interaction module includes a voice signal processing module, a touch instruction receiving module and an accessibility assistance module, the voice signal processing module performs noise reduction and semantic analysis on the voice signal collected by the microphone array, and then outputs a digital control instruction to the navigation control module, the touch instruction receiving module receives the path selection instruction and the printing instruction of the user and transmits them to the navigation control module, and the accessibility assistance module includes a height adjustment module and a tactile feedback module, the height adjustment module adjusts the display height according to the user instruction, the tactile feedback module generates a preset frequency vibration feedback through a vibration motor when the user instruction input is completed, and the vibration frequency of the tactile feedback module is dynamically adjusted according to the complexity of the navigation path.

10. The airport kiosk terminal of claim 9, wherein, The dynamic path optimization module further comprises an emergency scenario processing module, when the data interface module receives an emergency evacuation instruction of the airport operation system, the emergency scenario processing module corrects the path weight calculation model as: W=λ·S+(1-λ)·D Wherein, s is a safety channel priority parameter generated according to the identification position of the fire-fighting channel, the emergency exit distance and the evacuation direction, d is a physical distance parameter, and λ is an emergency coefficient, and the emergency scenario processing module generates a safety channel navigation path according to the corrected path weight calculation model and pushes the safety channel navigation path to the interaction module.

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