Airport multi-scene display content priority dynamic allocation method and system

Abstract

This application discloses a method and system for dynamic prioritization of display content in multiple airport scenarios. The method includes: collecting information on multi-source display content, real-time operating status of each display terminal, and airport operational status during airport operations; constructing content feature vectors, terminal feature vectors, and scene feature vectors based on the collected information; inputting the content feature vectors into a fuzzy comprehensive evaluation model and calculating the basic priority of each display content using fuzzy integrals; calculating the scene matching degree between the display content and the display terminal based on the content, terminal, and scene feature vectors, and generating an initial dynamic priority by combining the basic priority; determining the candidate display content and generating an effective priority; and performing regional allocation and playback scheduling of the candidate display content based on the effective priority to form a broadcast plan for a specific display terminal. This achieves refined, real-time, and collaborative prioritization of display content in multiple airport scenarios.

Description

Technical Field

[0001] This invention relates to the field of information allocation technology, specifically to a method and system for dynamically allocating display content priorities across multiple airport scenarios. Background Technology

[0002] Currently, display terminals are widely deployed in airport terminals and have complex application scenarios, covering various business scenarios such as check-in, security check, boarding gate, baggage claim, integrated transportation and public areas. The displayed content covers a variety of types, including flight status, passenger guidance, integrated transportation, emergency notices, commercial information and public services. The information sources are diverse, the real-time requirements are high, and the scenarios are significantly different.

[0003] Most existing airport display systems employ a scheduling method that combines fixed priority configuration, manual experience-based judgment, and static scheduling. This scheduling model fails to quantitatively model and scientifically calculate key attributes such as the timeliness, urgency, reliability, scene relevance, and layout adaptability of displayed content. Priority determination relies on manual settings, which are highly subjective and can easily lead to disordered sorting of emergency information, critical flight information, and routine information, affecting the efficiency of core information transmission. Furthermore, the system lacks a dynamic matching mechanism between content, terminals, and scenes, and cannot flexibly adjust broadcast strategies based on real-time conditions such as terminal location, equipment capabilities, network status, passenger flow intensity, and flight density. This results in poor adaptability between content, scenes, and terminals, and insufficient accuracy in information delivery. Moreover, the content review process is rigid and singular, unable to dynamically adjust review levels and rules based on content security level, scene sensitivity level, and equipment importance. This poses the risk of lax review of high-security content and redundant and inefficient review of low-risk content. In addition, the playback scheduling process simply rotates according to fixed priorities, easily leading to frequent screen switching, repeated information playback, and unreasonable resource utilization.

[0004] Therefore, how to dynamically prioritize the display content across multiple airport scenarios is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0005] In order to solve the above-mentioned technical problems, this application proposes the following technical solution: In a first aspect, embodiments of this application provide a method for dynamically prioritizing display content across multiple airport scenarios, including: After collecting the multi-source display content, the real-time operating status of each display terminal, and the airport operation status information during airport operation, content feature vectors, terminal feature vectors, and scene feature vectors are constructed based on the multi-source display content, the real-time operating status of each display terminal, and the airport operation status information. The content feature vector is input into the fuzzy comprehensive evaluation model to fuzzify the multidimensional attributes of the displayed content and use fuzzy integral to calculate the basic priority of each displayed content. Based on the content feature vector, terminal state vector and scene feature vector, the scene matching degree between the displayed content and the display terminal is calculated, and the initial dynamic priority for different display terminals is generated by combining the basic priority of the displayed content. Based on the initial dynamic priority combined with the device attributes of the display terminal, scene level, and security level of the display content, the candidate display content is reviewed and judged, and a valid priority is generated after review. Based on the effective priority, candidate display content is allocated to specific regions and its playback is scheduled to form a broadcast plan for a specific display terminal. The broadcasted content is then monitored for display status and emergency events are detected.

[0006] In one possible implementation, after collecting multi-source display content, real-time operating status of each display terminal, and airport operation status information during airport operations, a content feature vector, a terminal feature vector, and a scene feature vector are constructed based on the multi-source display content, real-time operating status of each display terminal, and airport operation status information, respectively, including: Collect flight information, comprehensive traffic information, information release information, dynamic guidance information, cable TV signals, and terminal electronic map information during airport operations; Each piece of information to be displayed is parsed to extract content type, source system, generation time, expiration time, applicable scenario, applicable terminal, flight or transportation involved, keywords, layout requirements, security level and trusted source mark to form the original content object; The content feature vector is constructed based on the original content object, and the calculation formula is as follows: in, For content feature vectors, Due to its time-sensitive nature, It is characterized by urgency. As a relevance feature, As a feature of credibility, For layout adaptability features, Standardize the quality characteristics of the content; Collect the device location, device type, screen parameters, network status, online status, operating load, inspection results, and abnormal alarm information of each display terminal to construct a terminal object; Based on the terminal object, a terminal feature vector is constructed, and the calculation formula is as follows: in, For terminal feature vectors, For location encoding features, For equipment type characteristics, For screen capability features, As a characteristic of network health, For online status characteristics, For load characteristics, As a feature of the inspection, Alarm characteristics; A set of airport scenarios is defined, and data on the airport layout, floor information, current time period, passenger flow, flight status, and traffic situation for each scenario are collected. A scenario feature vector is then constructed based on the collected data, calculated using the following formula: in, For scene feature vectors, As a feature of spatial layout, For floor features, Characteristics based on time period, Based on passenger flow characteristics, For flight status characteristics, This refers to traffic situation characteristics.

[0007] In one possible implementation, the content feature vector is input into a fuzzy comprehensive evaluation model to fuzzify the multidimensional attributes of the displayed content, and fuzzy integrals are used to calculate the basic priority of each displayed content, including: The content feature vector is input into the fuzzy comprehensive evaluation model to perform fuzzy characterization of the timeliness, urgency, relevance, credibility and adaptability of the displayed content; Construct a set of factors and a set of preset comments based on timeliness, urgency, scenario relevance, credibility, and adaptability as evaluation factors; Membership functions are set for each evaluation factor. The membership degree of each comment level is calculated based on the input value corresponding to each evaluation factor. Then, a fuzzy evaluation matrix corresponding to each displayed content is generated, and the comment set is mapped to a score vector. The fuzzy score for each displayed content on each evaluation factor is calculated based on the aforementioned scoring vector, using the following formula: in, For content In the Fuzzy ratings on each evaluation factor Number the rating of the comments. This represents the membership degree value. The score is for the comments; The fuzzy scores are sorted in a preset order to construct fuzzy measures of the sorted factor subsets. The basic priority of each displayed content is then calculated using Choquet fuzzy integrals, with the following formula: in, For content Basic priority, For the sorted number A fuzzy rating, For the sorted number A fuzzy rating, For the sorted factor subset, For a fuzzy measure of a subset of factors.

[0008] In one possible implementation, the content feature vector is input into a fuzzy comprehensive evaluation model to perform fuzzy characterization of the timeliness, urgency, relevance, credibility, and suitability of the displayed content. The calculation formulas are as follows: in, Due to the timeliness of the content, It is an exponential function. For the current moment, For the moment of content generation, For the effective duration of the content, It is a constant. It is characterized by urgency. For content severity, To alleviate the pressure of the event, For the scope of influence, For the maximum possible sum, For content For the scene The correlation, This is the transpose of the content topic vector. For scene feature vectors, For content topic vectors, It is a 2-norm. For reliability characteristics, For the reliability parameters of the content source, To verify the pass rate, This is a parameter for the consistency of content and business rule data. , , These are the weighting coefficients. For content With terminal Adaptability characteristics For content With terminal Screen type matching degree, For content Matching degree with the template area For content The degree of matching with the current time window, , , These are the corresponding weighting coefficients.

[0009] In one possible implementation, based on the content feature vector, terminal state vector, and scene feature vector, the scene matching degree between the displayed content and the display terminal is calculated, and the initial dynamic priority for different display terminals is generated by combining the basic priority of the displayed content: in, For content In the terminal Scene matching degree , , This is the scene matching degree weight coefficient. This is the transpose of the content feature vector. For content feature vectors, For terminal feature vectors, For the terminal The scene at any time Scene feature vectors, It is a 2-norm. It is a constant. For the terminal Service capability rating For content terminal The initial dynamic priority, For the Sigmoid function, , , , These are the initial dynamic priority weight coefficients. Prioritize content as a foundation. The operational status intensity of the scenario to which the terminal belongs. This refers to the alarm intensity at the terminal.

[0010] In one possible implementation, candidate display content is reviewed and judged based on the initial dynamic priority combined with the device attributes of the display terminal, scene level, and security level of the display content, and a valid priority after review is generated, including: Filter the candidate display content that has obtained the initial dynamic priority; The risk intensity of the screened candidate display content is calculated based on the device attributes of the display terminal, the scene level, and the security level of the display content. The calculation formula is as follows: in, For content In the terminal The intensity of risk on the surface , , , , These are the risk weighting coefficients for the audit. For the terminal The device attribute sensitivity, For the terminal Scene level of the scene to which it belongs. For content Security level, For content terminal The initial dynamic priority, The average comprehensive review capability of candidate roles eligible to participate in the review process; The number of review levels is dynamically generated based on the aforementioned risk intensity, and the calculation formula is as follows: in, For content In the terminal Number of review levels The maximum number of review levels allowed. To find the minimum value function, To find the maximum value function, It is a rounding function; The candidate display content is reviewed and judged according to the number of review levels, and an effective priority is generated after review.

[0011] In one possible implementation, the candidate display content is reviewed and judged according to the number of review levels, and a valid priority is generated after review, including: The review node is determined based on the number of review levels; The pass rate for each level of review is calculated using the following formula: in, For content In the terminal The Level 1 review node pass rate For the Sigmoid function, , , , , This is the weighting coefficient for the approval rate of a single-level review. To adapt the rating to the nodes after assigning roles, The intensity of potential conflicts between content and the terminal or scenario. This is a parameter for the consistency of content and business rule data. This parameter ensures consistency between content and business rule data. After the calculation is completed, the pass rate of each review node is merged to obtain the review pass factor; When the approval factor is less than the first preset threshold, the candidate content will be blocked from being displayed. When the approval factor is greater than or equal to the first preset threshold and less than the second preset threshold, the candidate display content will be downgraded or transferred to manual review. When the approval factor is greater than or equal to the second preset threshold, the candidate content will be approved. Based on the approval factor, combined with the initial dynamic priority and the approval delay penalty, the effective priority after approval is obtained, calculated using the following formula: in, For effective priority, For content terminal The initial dynamic priority, For content In the terminal The approval factor on the screen Penalties for review delays For review waiting time, This is the delay penalty coefficient. For content In the terminal The Level 1 review node pass rate For review level numbering, For content In the terminal The number of review levels.

[0012] In one possible implementation, candidate display content is allocated to specific regions and its playback is scheduled based on the effective priority to form a broadcast plan for a specific display terminal, including: After determining the set of candidate display content based on the effective priority, the adaptation degree between each candidate display content and each terminal area is calculated, and the calculation formula is as follows; in, For content For the terminal area Adaptability , , , These are the fitness weighting coefficients, This is a function for matching content type and region type. This is a function for matching content resolution with region resolution capabilities. A function for matching content layout requirements with regional layout attributes. A function to adapt the content to the current time slot. For content type, For content resolution, For content layout requirements, For regional resolution; Simultaneously, the playback slot value, switching cost, and redundancy cost of each candidate display content are calculated; in, For content In the terminal area In the time slot The value of its playback , , , These are the playback value weighting coefficients, For effective priority, For regional adaptation, For content In the time slot Time window benefits, For content In the terminal Benefits from the playback order; For content In the terminal area time slot The cost of switching To play the decision vector, This is the playback decision vector for the previous time slot. For time slots The redundancy cost, For the set of adjacent terminal pairs, For the terminal At the terminal Spatial similarity coefficient, For content Is it in a time slot? Arranged to the terminal Play on For content Is it in a time slot? Arranged to the terminal Play on; Based on the playback time slot value, switching cost, and redundancy cost, the candidate display content is jointly optimized to generate the optimal content combination and playback order for each terminal in the current scheduling cycle. After the optimal content combination and playback order are sent to the corresponding display terminal, the content is played according to the optimal content combination and playback order.

[0013] In one possible implementation, the formula for jointly optimizing candidate display content based on the playback slot value, switching cost, and redundancy cost is as follows: in, For the total revenue from playback scheduling, and This represents the weighting coefficient for the penalty term.

[0014] Secondly, this embodiment provides a dynamic content priority allocation system for multiple airport scenarios, including: The multi-source information acquisition module is used to collect multi-source display content, real-time operating status of each display terminal, and airport operation status information during airport operation. Based on the multi-source display content, real-time operating status of each display terminal, and airport operation status information, it constructs content feature vector, terminal feature vector, and scene feature vector respectively. The fuzzy representation module is used to input the content feature vector into the fuzzy comprehensive evaluation model, perform fuzzy representation of the multidimensional attributes of the displayed content, and use fuzzy integral to calculate the basic priority of each displayed content. The scene matching module calculates the scene matching degree between the displayed content and the display terminal based on the content feature vector, the terminal state vector and the scene feature vector, and generates an initial dynamic priority for different display terminals by combining the basic priority of the displayed content. The review and judgment module is used to review and judge the candidate display content based on the initial dynamic priority, the device attributes of the display terminal, the scene level, and the security level of the display content, and generate the effective priority after review. The region allocation and playback scheduling module allocates and schedules candidate display content based on the effective priority, forms a broadcast plan for a specific display terminal, and performs display status monitoring and emergency event detection on the broadcast content.

[0015] Compared with the prior art, the beneficial effects of this application are as follows: This application collects multi-source display content, real-time terminal status, and airport operational status information to construct content feature vectors, terminal feature vectors, and scene feature vectors. This enables the digital and vectorized representation of all elements of airport displays, providing a precise data foundation for dynamic priority calculation and improving the objectivity and scientific rigor of priority determination. Simultaneously, it employs fuzzy comprehensive evaluation and fuzzy integrals to represent multi-dimensional attributes of display content, enabling unified modeling of indicators that are difficult to quantify precisely, such as timeliness, urgency, credibility, relevance, and adaptability. By utilizing Choquet fuzzy integrals to calculate basic priorities, it effectively handles the correlations and conflicts between various evaluation factors, resulting in priority calculation results that better align with the actual operational logic of the airport.

[0016] This application can monitor the broadcast status in real time and respond quickly to emergencies, ensuring the stable, safe, intelligent and efficient operation of the airport display system. It meets the airport's multi-scenario, highly reliable and real-time information broadcasting and control needs. Compared with fixed templates, fixed priorities or manual switching methods, this application can improve the timeliness of key information delivery, reduce screen errors, repeated broadcasts and inefficient switching, and improve the display response capability and airport passenger guidance efficiency under emergencies. Attached Figure Description

[0017] Figure 1 A flowchart illustrating a method for dynamically prioritizing display content across multiple airport scenarios, provided in this application embodiment; Figure 2 A flowchart illustrating a dynamic content priority allocation system for multiple airport scenarios, provided as an embodiment of this application; Figure 3 This is a functional architecture diagram of a dynamic content priority allocation system for multiple airport scenarios provided in this application embodiment; Figure 4This is a schematic diagram of material management provided for an embodiment of this application. Detailed Implementation

[0018] The present solution will now be described in conjunction with the accompanying drawings and specific embodiments.

[0019] Figure 1 A flowchart illustrating a method for dynamically prioritizing display content across multiple airport scenarios, as provided in this application embodiment, is shown below. Figure 1 This application provides a method for dynamically prioritizing display content across multiple airport scenarios, comprising: S101 collects multi-source display content, real-time operating status of each display terminal, and airport operation status information during airport operation. Then, it constructs content feature vector, terminal feature vector, and scene feature vector based on the multi-source display content, real-time operating status of each display terminal, and airport operation status information.

[0020] In this embodiment, flight information, comprehensive transportation information, information release information, dynamic guidance information, cable TV signals, and terminal electronic map information from airport operations are collected. Each piece of information to be displayed is parsed to extract content type, source system, generation time, expiration time, applicable scenario, applicable terminal, involved flights or transportation, keywords, layout requirements, security level, and trusted source markers, forming an original content object. A content feature vector is then constructed based on the original content object, calculated using the following formula: in, For content feature vectors, Due to its time-sensitive nature, It is characterized by urgency. As a relevance feature, As a feature of credibility, For layout adaptability features, Standardize the quality characteristics of the content.

[0021] Collect the device location, device type, screen parameters, network status, online status, operating load, inspection results, and abnormal alarm information for each display terminal. Construct a terminal object, and based on the terminal object, construct a terminal feature vector. The calculation formula is as follows: in, For terminal feature vectors, For location encoding features, For equipment type characteristics, For screen capability features, As a characteristic of network health, For online status characteristics, For load characteristics, As a feature of the inspection, Alarm characteristics; A set of airport scenarios is defined, and data on the airport layout, floor information, current time period, passenger flow, flight status, and traffic situation for each scenario are collected. A scenario feature vector is then constructed based on the collected data, calculated using the following formula: in, For scene feature vectors, As a feature of spatial layout, For floor features, Characteristics based on time period, Based on passenger flow characteristics, For flight status characteristics, This refers to traffic situation characteristics.

[0022] S102, input the content feature vector into the fuzzy comprehensive evaluation model, perform fuzzy representation of the multidimensional attributes of the displayed content, and use fuzzy integral to calculate the basic priority of each displayed content.

[0023] In this embodiment, the content feature vector is input into the fuzzy comprehensive evaluation model to perform fuzzy characterization of the timeliness, urgency, relevance, credibility, and suitability of the displayed content. The calculation formulas are as follows: in, Due to the timeliness of the content, It is an exponential function. For the current moment, For the moment of content generation, For the effective duration of the content, It is a constant. It is characterized by urgency. For content severity, To alleviate the pressure of the event, For the scope of influence, For the maximum possible sum, For content For the scene The correlation, This is the transpose of the content topic vector. For scene feature vectors, For content topic vectors, It is a 2-norm. For reliability characteristics, For the reliability parameters of the content source, To verify the pass rate, This is a parameter for the consistency of content and business rule data. , , These are the weighting coefficients. For content With terminal Adaptability characteristics For content With terminal Screen type matching degree, For content Matching degree with the template area For content The degree of matching with the current time window, , , These are the corresponding weighting coefficients.

[0024] A factor set and a preset comment set are constructed, with timeliness, urgency, scenario relevance, credibility, and adaptability as evaluation factors. A membership function is set for each evaluation factor, and the membership degree of each comment level is calculated based on the input value corresponding to each evaluation factor. This generates a fuzzy evaluation matrix corresponding to each displayed content, and the comment set is mapped to a score vector. The fuzzy score for each displayed content on each evaluation factor is calculated based on the score vector. The calculation formula is as follows: in, For content In the Fuzzy ratings on each evaluation factor Number the rating of the comments. This represents the membership degree value. This is the score for the comments.

[0025] The fuzzy scores are sorted according to a preset order, and the fuzzy measures of the sorted factor subsets are constructed. The basic priority of each displayed content is calculated using Choquet fuzzy integrals, with the following formula: in, For content Basic priority, For the sorted number A fuzzy rating, For the sorted number A fuzzy rating, For the sorted factor subset, For a fuzzy measure of a subset of factors.

[0026] S103 calculates the scene matching degree between the displayed content and the display terminal based on the content feature vector, the terminal state vector and the scene feature vector, and generates the initial dynamic priority for different display terminals by combining the basic priority of the displayed content.

[0027] In this embodiment, the formula for calculating the initial dynamic priority is: in, For content In the terminal Scene matching degree , , This is the scene matching degree weight coefficient. This is the transpose of the content feature vector. For content feature vectors, For terminal feature vectors, For the terminal The scene at any time Scene feature vectors, It is a 2-norm. It is a constant. For the terminal Service capability rating For content terminal The initial dynamic priority, For the Sigmoid function, , , , These are the initial dynamic priority weight coefficients. Prioritize content as a foundation. The operational status intensity of the scenario to which the terminal belongs. This refers to the alarm intensity at the terminal.

[0028] S104: Based on the initial dynamic priority and combined with the device attributes, scene level, and security level of the display content of the display terminal, the candidate display content is reviewed and judged, and an effective priority is generated after review.

[0029] In this embodiment, candidate display content with an initial dynamic priority is filtered. The risk intensity of the filtered candidate display content is calculated based on the device attributes of the display terminal, the scene level, and the security level of the display content. The calculation formula is as follows: in, For content In the terminal The intensity of risk on the surface , , , , These are the risk weighting coefficients for the audit. For the terminal The device attribute sensitivity, For the terminal Scene level of the scene to which it belongs. For content Security level, For content terminal The initial dynamic priority, The average comprehensive review capability of candidate roles eligible to participate in the review process is used to dynamically generate the number of review levels based on risk intensity. The calculation formula is as follows: in, For content In the terminal Number of review levels The maximum number of review levels allowed. To find the minimum value function, To find the maximum value function, This is an up-rounding function that evaluates candidate content based on the number of review levels and generates a valid priority level after review.

[0030] In this embodiment, when generating effective priorities, the review nodes are first determined based on the number of review levels, and the pass rate of each review node is calculated using the following formula: in, For content In the terminal The Level 1 review node pass rate For the Sigmoid function, , , , , This is the weighting coefficient for the approval rate of a single-level review. To adapt the rating to the nodes after assigning roles, The intensity of potential conflicts between content and the terminal or scenario. This is a parameter for the consistency of content and business rule data. As a consistency parameter between content and business rule data, after calculation, the pass rate of each review node is merged to obtain the review pass factor. When the review pass factor is less than the first preset threshold, the candidate content is blocked. When the review pass factor is greater than or equal to the first preset threshold and less than the second preset threshold, the candidate content is downgraded or transferred to manual review. When the approval factor is greater than or equal to the second preset threshold, the candidate content will be approved. Based on the approval factor, the initial dynamic priority, and the review delay penalty, the effective priority after review is obtained. The calculation formula is as follows: in, For effective priority, For content terminal The initial dynamic priority, For content In the terminal The approval factor on the screen Penalties for review delays For review waiting time, This is the delay penalty coefficient. For content In the terminal The Level 1 review node pass rate For review level numbering, For content In the terminal The number of review levels.

[0031] S105 allocates and schedules the playback of candidate display content based on effective priority, forms a broadcast plan for a specific display terminal, and performs display status monitoring and emergency event detection on the broadcast content.

[0032] In this embodiment, after determining the set of candidate display content based on effective priority, the adaptation degree between each candidate display content and each terminal area is calculated, and the calculation formula is as follows: in, For content For the terminal area Adaptability , , , These are the fitness weighting coefficients, This is a function for matching content type and region type. This is a function for matching content resolution with region resolution capabilities. A function for matching content layout requirements with regional layout attributes. A function to adapt the content to the current time slot. For content type, For content resolution, For content layout requirements, For regional resolution, the playback slot value, switching cost, and redundancy cost of each candidate display content are calculated simultaneously. in, For content In the terminal area In the time slot The value of its playback , , , These are the playback value weighting coefficients, For effective priority, For regional adaptation, For content In the time slot Time window benefits, For content In the terminal Benefits from the playback order; For content In the terminal area time slot The cost of switching To play the decision vector, This is the playback decision vector for the previous time slot. For time slots The redundancy cost, For the set of adjacent terminal pairs, For the terminal At the terminal Spatial similarity coefficient, For content Is it in a time slot? Arranged to the terminal Play on For content Is it in a time slot? Arranged to the terminal For playback, the candidate display content is jointly optimized based on playback slot value, switching cost, and redundancy cost to generate the optimal content combination and playback order for each terminal within the current scheduling cycle. The optimization calculation formula is as follows: in, For the total revenue from playback scheduling, and The penalty factor is the weighting coefficient. After the optimal content combination and playback order are sent to the corresponding display terminal, the content is played according to the optimal content combination and playback order.

[0033] Corresponding to the above embodiment's method for dynamically allocating display content priorities for multiple airport scenarios, this embodiment also provides an embodiment of a system for dynamically allocating display content priorities for multiple airport scenarios.

[0034] See Figure 2 This application provides an embodiment of a dynamic content priority allocation system 20 for multiple airport scenarios, comprising: The multi-source information acquisition module 201 is used to collect multi-source display content, real-time operating status of each display terminal, and airport operation status information during airport operation. Then, it constructs content feature vector, terminal feature vector, and scene feature vector based on the multi-source display content, real-time operating status of each display terminal, and airport operation status information.

[0035] The fuzzy representation module 202 is used to input the content feature vector into the fuzzy comprehensive evaluation model, perform fuzzy representation of the multi-dimensional attributes of the displayed content, and use fuzzy integral to calculate the basic priority of each displayed content.

[0036] The scene matching module 203 calculates the scene matching degree between the displayed content and the display terminal based on the content feature vector, the terminal state vector and the scene feature vector, and generates an initial dynamic priority for different display terminals by combining the basic priority of the displayed content.

[0037] The review and judgment module 204 is used to review and judge candidate display content based on the initial dynamic priority, combined with the device attributes of the display terminal, scene level, and security level of the display content, and generate the effective priority after review.

[0038] The area allocation and playback scheduling module 205 allocates and schedules the candidate display content based on effective priority, forms a broadcast plan for a specific display terminal, and performs display status monitoring and emergency event detection on the broadcast content.

[0039] See Figure 3In this embodiment, the display content acquisition and control management module performs unified streaming processing on the collected airport flight information, comprehensive transportation information, information release information, dynamic guidance information, cable TV signals, and other content, and provides it to the display content arrangement and management module for calling. The module includes a data stream acquisition source link management list, video stream source batch management function, and sorting function. The basic control and management functions of the data stream are realized through functions such as adding, deleting, modifying, and querying.

[0040] The display content arrangement and management module can store relevant materials, including text, images, web pages, documents, animations, audio, and video. It supports batch uploading of material files, resuming interrupted file uploads, and custom tags for materials. It also allows for processing of material content, such as... Figure 4 As shown, this includes importing and previewing media. Media can be stored in the database as text information, as a link, or as files in a directory. Different file types are stored in different category directories on the server. The system also allows for the addition, modification, and deletion of playback content involved in program scheduling and statistics. Unused media can be deleted directly. However, once media is used, its corresponding information cannot be deleted. Media that has not been approved will not be displayed or included in program scheduling. For added media, the operator to which it belongs is recorded. Operators with higher privileges can modify media belonging to lower-level operators, but operators of the same or lower privilege levels cannot.

[0041] Users can create their own templates and customize video, image, text, real-time data, and clock tools according to their needs. They can also arrange and organize the collected audio-visual content and multimedia files to enable playback of specific content in designated areas, at designated times, and in designated ways, based on actual business requirements. Content must be reviewed before playback, and once approved, it will be published according to priority.

[0042] In this embodiment, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, the simultaneous existence of A and B, or the existence of B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0043] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0044] The above description is merely a specific embodiment of this application. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application. The protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A method for dynamically prioritizing display content across multiple airport scenarios, characterized in that, include: After collecting the multi-source display content, the real-time operating status of each display terminal, and the airport operation status information during airport operation, content feature vectors, terminal feature vectors, and scene feature vectors are constructed based on the multi-source display content, the real-time operating status of each display terminal, and the airport operation status information. The content feature vector is input into the fuzzy comprehensive evaluation model to fuzzify the multidimensional attributes of the displayed content and use fuzzy integral to calculate the basic priority of each displayed content. Based on the content feature vector, terminal state vector, and scene feature vector, the scene matching degree between the displayed content and the display terminal is calculated, and an initial dynamic priority for different display terminals is generated by combining the basic priority of the displayed content. Based on the initial dynamic priority combined with the device attributes of the display terminal, scene level, and security level of the display content, the candidate display content is reviewed and judged, and a valid priority is generated after review. Based on the effective priority, candidate display content is allocated to specific regions and its playback is scheduled to form a broadcast plan for a specific display terminal. The broadcasted content is then monitored for display status and emergency events are detected.

2. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 1, characterized in that, After collecting multi-source display content, real-time operating status of each display terminal, and airport operation status information during airport operation, content feature vectors, terminal feature vectors, and scene feature vectors are constructed based on the multi-source display content, real-time operating status of each display terminal, and airport operation status information, including: Collect flight information, comprehensive traffic information, information release information, dynamic guidance information, cable TV signals, and terminal electronic map information during airport operations; Each piece of information to be displayed is parsed to extract content type, source system, generation time, expiration time, applicable scenario, applicable terminal, flight or transportation involved, keywords, layout requirements, security level and trusted source mark to form the original content object; The content feature vector is constructed based on the original content object, and the calculation formula is as follows: in, For content feature vectors, Due to its time-sensitive nature, It is characterized by urgency. As a relevance feature, As a feature of credibility, For layout adaptability features, Standardize the quality characteristics of the content; Collect the device location, device type, screen parameters, network status, online status, operating load, inspection results, and abnormal alarm information of each display terminal to construct a terminal object; Based on the terminal object, a terminal feature vector is constructed, and the calculation formula is as follows: in, For terminal feature vectors, For location encoding features, For equipment type characteristics, For screen capability features, As a characteristic of network health, For online status characteristics, For load characteristics, As a feature of the inspection, Alarm characteristics; A set of airport scenarios is defined, and data on the airport layout, floor information, current time period, passenger flow, flight status, and traffic situation for each scenario are collected. A scenario feature vector is then constructed based on the collected data, calculated using the following formula: in, For scene feature vectors, As a feature of spatial layout, For floor features, Characteristics based on time period, Based on passenger flow characteristics, For flight status characteristics, This refers to traffic situation characteristics.

3. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 1, characterized in that, The content feature vector is input into the fuzzy comprehensive evaluation model to fuzzify the multidimensional attributes of the displayed content, and fuzzy integrals are used to calculate the basic priority of each displayed content, including: The content feature vector is input into the fuzzy comprehensive evaluation model to perform fuzzy characterization of the timeliness, urgency, relevance, credibility and adaptability of the displayed content; Construct a set of factors and a set of preset comments based on timeliness, urgency, scenario relevance, credibility, and adaptability as evaluation factors; Membership functions are set for each evaluation factor. The membership degree of each comment level is calculated based on the input value corresponding to each evaluation factor. Then, a fuzzy evaluation matrix corresponding to each displayed content is generated, and the comment set is mapped to a score vector. The fuzzy score for each displayed content on each evaluation factor is calculated based on the aforementioned scoring vector, using the following formula: in, For content In the Fuzzy ratings on each evaluation factor Number the rating of the comments. This represents the membership degree value. The score is for the comments; The fuzzy scores are sorted in a preset order to construct fuzzy measures of the sorted factor subsets. The basic priority of each displayed content is then calculated using Choquet fuzzy integrals, with the following formula: in, For content Basic priority, For the sorted number A fuzzy rating, For the sorted number A fuzzy rating, For the sorted factor subset, For a fuzzy measure of a subset of factors.

4. The method for dynamically prioritizing display content across multiple airport scenarios according to claim 3, characterized in that, The content feature vector is input into the fuzzy comprehensive evaluation model to perform fuzzy characterization of the timeliness, urgency, relevance, credibility, and suitability of the displayed content. The calculation formulas are as follows: in, Due to the timeliness of the content, It is an exponential function. For the current moment, For the moment of content generation, For the effective duration of the content, It is a constant. It is characterized by urgency. For content severity, To alleviate the pressure of the event, For the scope of influence, For the maximum possible sum, For content For the scene The correlation, This is the transpose of the content topic vector. For scene feature vectors, For content topic vectors, It is a norm 2. For reliability characteristics, For the reliability parameters of the content source, To verify the pass rate, This is a parameter for the consistency of content and business rule data. , , These are the weighting coefficients. For content With terminal Adaptability characteristics For content With terminal Screen type matching degree, For content Matching degree with the template area For content The degree of matching with the current time window, , , These are the corresponding weighting coefficients.

5. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 1, characterized in that, Based on the content feature vector, terminal state vector, and scene feature vector, the scene matching degree between the displayed content and the display terminal is calculated. Combined with the basic priority of the displayed content, the calculation formula for the initial dynamic priority for different display terminals is generated as follows: in, For content In the terminal Scene matching degree , , This is the scene matching degree weight coefficient. This is the transpose of the content feature vector. For content feature vectors, For terminal feature vectors, For the terminal The scene at any time Scene feature vectors, It is a norm 2. It is a constant. For the terminal Service capability rating For content terminal The initial dynamic priority, For the Sigmoid function, , , , These are the initial dynamic priority weight coefficients. Prioritize content as a foundation. The operational status intensity of the scenario to which the terminal belongs. This refers to the alarm intensity at the terminal.

6. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 1, characterized in that, Based on the initial dynamic priority combined with the display terminal's device attributes, scene level, and the security level of the displayed content, the candidate display content is reviewed and judged, and a valid priority is generated after review, including: Filter the candidate display content that has obtained the initial dynamic priority; The risk intensity of the screened candidate display content is calculated based on the device attributes of the display terminal, the scene level, and the security level of the display content. The calculation formula is as follows: in, For content In the terminal The intensity of risk on the surface , , , , These are the risk weighting coefficients for the audit. For the terminal Device attribute sensitivity, For the terminal Scene level of the scene to which it belongs. For content Security level, For content terminal The initial dynamic priority, The average comprehensive review capability of candidate roles eligible to participate in the review process; The number of review levels is dynamically generated based on the aforementioned risk intensity, and the calculation formula is as follows: in, For content In the terminal Number of review levels The maximum number of review levels allowed. To find the minimum value function, To find the maximum value function, It is a rounding function; The candidate display content is reviewed and judged according to the number of review levels, and an effective priority is generated after review.

7. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 6, characterized in that, The candidate display content is reviewed and judged according to the review level, and a valid priority is generated after review, including: The review node is determined based on the number of review levels; The pass rate for each level of review is calculated using the following formula: in, For content In the terminal The Level 1 review node pass rate For the Sigmoid function, , , , , This is the weighting coefficient for the approval rate of a single-level review. To adapt the rating to the nodes after assigning roles, The intensity of potential conflicts between content and the terminal or scenario. This is a parameter for the consistency of content and business rule data. This parameter ensures consistency between content and business rule data. After the calculation is completed, the pass rate of each review node is merged to obtain the review pass factor; When the approval factor is less than the first preset threshold, the candidate content will be blocked from being displayed. When the approval factor is greater than or equal to the first preset threshold and less than the second preset threshold, the candidate display content will be downgraded or transferred to manual review. When the approval factor is greater than or equal to the second preset threshold, the candidate content will be approved. Based on the approval factor, combined with the initial dynamic priority and the approval delay penalty, the effective priority after approval is obtained, calculated using the following formula: in, For effective priority, For content terminal The initial dynamic priority, For content In the terminal The approval factor on the screen Penalties for review delays For review waiting time, This is the delay penalty coefficient. For content In the terminal The Level 1 review node pass rate For review level numbering, For content In the terminal The number of review levels.

8. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 1, characterized in that, Based on the effective priority, candidate display content is allocated to specific regions and its playback is scheduled to form a broadcast plan for a specific display terminal, including: After determining the set of candidate display content based on the effective priority, the adaptation degree between each candidate display content and each terminal area is calculated, and the calculation formula is as follows; in, For content For the terminal area Adaptability , , , These are the fitness weighting coefficients, This is a function for matching content type and region type. This is a function for matching content resolution with region resolution capabilities. A function for matching content layout requirements with regional layout attributes. A function to adapt the content to the current time slot. For content type, For content resolution, For content layout requirements, For regional resolution; Simultaneously, the playback slot value, switching cost, and redundancy cost of each candidate display content are calculated; in, For content In the terminal area In the time slot The value of its playback , , , These are the playback value weighting coefficients, For effective priority, For regional adaptation, For content In the time slot Time window benefits, For content In the terminal Benefits from the playback order; For content In the terminal area time slot The cost of switching To play the decision vector, This is the playback decision vector for the previous time slot. For time slots The redundancy cost, For the set of adjacent terminal pairs, For the terminal At the terminal Spatial similarity coefficient, For content Is it in a time slot? Arranged to the terminal Play on For content Is it in a time slot? Arranged to the terminal Play on; Based on the playback time slot value, switching cost, and redundancy cost, the candidate display content is jointly optimized to generate the optimal content combination and playback order for each terminal in the current scheduling cycle. After the optimal content combination and playback order are sent to the corresponding display terminal, the content is played according to the optimal content combination and playback order.

9. The method for dynamically allocating display content priority for multiple airport scenarios according to claim 8, characterized in that, The calculation formula for jointly optimizing candidate display content based on the playback slot value, switching cost, and redundancy cost is as follows: in, For the total revenue from playback scheduling, and This represents the weighting coefficient for the penalty term.

10. A dynamic content priority allocation system for multiple airport scenarios, characterized in that, include: The multi-source information acquisition module is used to collect multi-source display content, real-time operating status of each display terminal, and airport operation status information during airport operation. Based on the multi-source display content, real-time operating status of each display terminal, and airport operation status information, it constructs content feature vector, terminal feature vector, and scene feature vector respectively. The fuzzy representation module is used to input the content feature vector into the fuzzy comprehensive evaluation model, perform fuzzy representation of the multidimensional attributes of the displayed content, and use fuzzy integral to calculate the basic priority of each displayed content. The scene matching module calculates the scene matching degree between the displayed content and the display terminal based on the content feature vector, the terminal state vector and the scene feature vector, and generates an initial dynamic priority for different display terminals by combining the basic priority of the displayed content. The review and judgment module is used to review and judge the candidate display content based on the initial dynamic priority, the device attributes of the display terminal, the scene level, and the security level of the display content, and generate the effective priority after review. The region allocation and playback scheduling module allocates and schedules candidate display content based on the effective priority, forms a broadcast plan for a specific display terminal, and performs display status monitoring and emergency event detection on the broadcast content.

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