Airport multi-level screen intelligent grading information display method and system

Abstract

The invention discloses an airport multi-level screen intelligent grading information display method and system, and belongs to the technical field of data processing and business management, and the method comprises the steps: obtaining static attribute information, real-time state information and business context information of each screen in an airport, and constructing a corresponding digital twinborn model; obtaining a real-time service data flow to dynamically group the digital twinborn model, and generating a dynamic virtual grouping strategy; equipment operation parameter data streams and playing picture data streams of all screens are collected, fusion and correlation analysis are carried out on the equipment operation parameter data streams and the playing picture data streams and real-time service data streams, a same control instruction set is generated and issued to a target screen control terminal in combination with a dynamic virtual grouping strategy, and information display control is executed. By means of constructing a screen digital twinborn model, performing dynamic grouping and priority analysis based on real-time service data flow and generating a cooperative control instruction set, dynamic and accurate display of airport information release, intelligent sensing and self-healing recovery of faults and continuous optimization of system decision can be realized.

Description

Technical Field

[0001] This invention relates to the fields of data processing and business management technology, and in particular to a method and system for intelligent hierarchical information display on multi-level screens in airports. Background Technology

[0002] Airport multi-level screen information display systems are key infrastructure in modern airport operation management and passenger service systems. They consist of a network of numerous electronic display screens deployed in various areas of the terminal, such as check-in, security, waiting areas, and arrival areas. These screens are responsible for disseminating various information to passengers, including flight status updates, boarding instructions, commercial advertisements, and service announcements. They serve as the primary medium for information interaction between the airport and passengers, and their operational efficiency and level of intelligence directly impact the airport's operational effectiveness and the passenger travel experience.

[0003] In existing technologies, airport screen management typically employs digital multimedia information publishing systems. These systems generally use static grouping management based on the physical location of the screens. For example, screens in the same terminal or waiting area are divided into a fixed group, and a unified content playlist is distributed and scheduled for the entire group. Content updates mainly rely on manual editing and publishing or simple data interface integration with flight information systems. Monitoring screen status largely depends on network connectivity detection, using polling or heartbeat mechanisms to determine if the device is online, serving as the primary basis for judging whether the screen is functioning properly.

[0004] However, information dissemination based on fixed physical areas lacks flexibility and targeting. When unexpected events such as gate changes occur, information cannot be accurately delivered to specific affected passenger groups, easily leading to information redundancy or omissions. Secondly, its fault monitoring methods are rudimentary, only able to determine whether equipment is online or not, unable to distinguish between content delivery errors, software crashes, or hardware malfunctions. This results in low maintenance and troubleshooting efficiency, and it cannot assess the actual impact based on the importance of the faulty screen's location and surrounding passenger flow, lacking intelligent emergency response prioritization. Finally, the entire system lacks feedback and learning mechanisms based on actual operational results. Its information dissemination strategies and operational rules are fixed once set, unable to adapt to changes in airport passenger flow patterns or business processes. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a method and system for intelligent hierarchical information display on multi-level screens in airports. By constructing digital twin models of the screens, performing dynamic grouping and priority analysis based on real-time business data streams, and generating collaborative control instruction sets, this invention enables dynamic and accurate display of airport information, intelligent fault detection and self-healing recovery, and continuous optimization of system decisions.

[0006] The above objectives can be achieved through the following approach:

[0007] An intelligent hierarchical information display method for multi-level screens in airports includes: acquiring static attribute information, real-time status information, and business context information of each screen within the airport; constructing a corresponding digital twin model for each screen based on the static attribute information, real-time status information, and business context information; acquiring real-time business data streams and dynamically grouping the digital twin models based on the real-time business data streams to generate a dynamic virtual grouping strategy; collecting device operation parameter data streams and playback screen data streams from each screen, and fusing the device operation parameter data streams, the playback screen data streams, and the real-time business data streams to generate a multi-source fused data stream; performing correlation analysis on the multi-source fused data streams to identify abnormal event types and calculate dynamic priorities to generate an event priority list; performing collaborative judgment based on the event priority list and the dynamic virtual grouping strategy to generate a collaborative control instruction set containing content control instructions and device control instructions; and sending the collaborative control instruction set to the target screen control terminal to execute information display control.

[0008] Optionally, the dynamic virtual grouping strategy includes: acquiring real-time business data streams and parsing flight dynamic events from the real-time business data streams; acquiring preset mapping rules for defining the association between the flight dynamic events and the airport physical space, and determining one or more key areas affected by the flight dynamic events according to the mapping rules; filtering out digital twin models corresponding to screens located within the key areas to form a temporary screen set; creating temporary virtual groups for the temporary screen set, and assigning a unified information publishing strategy to the temporary virtual groups to generate a dynamic virtual grouping strategy.

[0009] Optionally, the step of performing correlation analysis on the multi-source fused data stream to identify abnormal event types and calculate dynamic priorities, and generating an event priority list, includes: identifying the characteristics of the currently playing content from the playback screen data stream in the multi-source fused data stream, and obtaining the expected playback content characteristics of the corresponding screen from the real-time business data stream; comparing the current playback content characteristics with the expected playback content characteristics to generate a content consistency judgment result; obtaining and calculating the device health index of the corresponding screen from the device operating parameter data stream in the multi-source fused data stream; and performing joint diagnosis based on the content consistency judgment result and the device health index to identify abnormal event types.

[0010] Optionally, the step of performing correlation analysis on the multi-source fused data stream to identify abnormal event types and calculate dynamic priorities, and generating an event priority list, further includes: obtaining the location information of the screen associated with the abnormal event and obtaining real-time passenger flow distribution data; calculating the impact range coefficient of the abnormal event based on the location information, the real-time passenger flow distribution data, and a preset correlation coefficient; calculating the dynamic priority based on the abnormal event type and the impact range coefficient; and generating an event priority list based on the dynamic priority.

[0011] Optionally, the step of performing collaborative judgment based on the event priority list and the dynamic virtual grouping strategy to generate a collaborative control instruction set containing content control instructions and device control instructions includes: querying the dynamic virtual grouping strategy based on the event priority list to determine the virtual group to which the abnormal screen belongs; generating a first content control instruction for cutting off the signal source of the abnormal screen and switching to safe content; generating a second content control instruction for scheduling the content originally planned to be played on the abnormal screen to be played on other screens in the virtual group that are in a normal state; and binding the first content control instruction and the second content control instruction to generate a collaborative control instruction set.

[0012] Optionally, the method further includes: performing time-series analysis on the device operating parameter data stream to predict potential screen failure risks and generate predictive maintenance alarms; when the predictive maintenance alarm is received, generating a screen task migration instruction for migrating the playback task of the target screen to a preset redundant screen; and adding the screen task migration instruction to the collaborative control instruction set.

[0013] Optionally, the step of sending the collaborative control instruction set to the target screen control terminal to perform information display control includes: encapsulating the collaborative control instruction set into a policy data packet; sending the policy data packet to the target screen control terminal; the target screen control terminal parsing and executing the instruction display information in the policy data packet, and providing real-time feedback on execution status data.

[0014] Optionally, the method further includes: when the screen control terminal detects an interruption in the network connection with the central management platform, it activates a locally stored emergency decision rule set; obtains the time node of the network connection interruption, and generates an emergency time window based on the time node; and manages the local screen based on the emergency decision rule set and the policy data packets received within the emergency time window until the network is restored.

[0015] Optionally, the method further includes: collecting the execution status data and new multi-source fusion data streams to form closed-loop feedback data; updating the mapping rules using the closed-loop feedback data; and correcting the correlation coefficient using the closed-loop feedback data.

[0016] Based on the same inventive concept, this invention also provides an intelligent hierarchical information display system for multi-level screens in airports. The system includes: a digital twin management module, used to acquire static attribute information, real-time status information, and business context information of each screen within the airport, and to construct a corresponding digital twin model for each screen based on the static attribute information, the real-time status information, and the business context information; a dynamic grouping module, used to acquire real-time business data streams, and to dynamically group the digital twin models based on the real-time business data streams to generate a dynamic virtual grouping strategy; and a multi-source data fusion module, used to collect equipment operating parameter data streams from each screen and... The system integrates the playback screen data stream with the device operating parameter data stream, the playback screen data stream, and the real-time business data stream to generate a multi-source fused data stream. A priority analysis module performs correlation analysis on the multi-source fused data stream to identify abnormal event types and calculate dynamic priorities, generating an event priority list. An analysis and decision-making module performs collaborative judgment based on the event priority list and the dynamic virtual grouping strategy, generating a collaborative control instruction set containing content control instructions and device control instructions. An instruction execution and feedback module sends the collaborative control instruction set to the target screen control terminal to execute information display control.

[0017] Compared with the prior art, the present invention has the following advantages:

[0018] 1. This invention achieves dynamic and accurate display of information published on airport screens by constructing a digital twin model of the screen and integrating multi-dimensional data. It can intelligently group the affected screens into temporary virtual groups based on real-time flight dynamic events, ensuring that key change information is accurately delivered to the key areas where the passenger groups that need the information most are located in the first time, thereby improving the efficiency and relevance of information transmission, optimizing the passenger travel experience and the airport's operational order.

[0019] 2. This invention, through the fusion analysis of playback screens, device parameters, and business data, can accurately diagnose the root cause of abnormal events and dynamically assess their impact by combining factors such as real-time passenger flow, thereby achieving intelligent priority ranking of operation and maintenance tasks; when an anomaly occurs, the system can automatically perform information migration and content redundancy, ensuring the continuity of key information, and through predictive maintenance capabilities, transforming fault management from post-event response to pre-event avoidance, enhancing the stability and reliability of the entire information release system;

[0020] 3. By collecting closed-loop feedback data after instruction execution, the system can continuously perform data-driven correction and optimization of the mapping rules defining business events and spatial relationships, as well as the correlation coefficients for assessing screen importance. This enables the system's decision-making logic to continuously evolve, and the accuracy of its information dissemination and fault assessment will continuously improve over time, ensuring the long-term value of the system investment and the continuous high-level support for airport operations.

[0021] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating the intelligent hierarchical information display method for multi-level screens in airports according to an embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram illustrating how the priority of an event changes with the basic severity of the event and the real-time passenger flow, according to an embodiment of the present invention.

[0025] Figure 3 This is a schematic diagram of the structure of the airport multi-screen intelligent hierarchical information display system according to an embodiment of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] Reference Figure 1One embodiment of the present invention proposes an intelligent hierarchical information display method for multi-level screens in airports. By constructing a digital twin model of the screen, performing dynamic grouping and priority analysis based on real-time business data streams, and generating a collaborative control instruction set, it is possible to achieve dynamic and accurate display of airport information, intelligent detection and self-healing recovery of faults, and continuous optimization of system decision-making.

[0028] The method described in this embodiment specifically includes:

[0029] Obtain static attribute information, real-time status information, and business context information of each screen within the airport, and construct a corresponding digital twin model for each screen based on the static attribute information, the real-time status information, and the business context information;

[0030] Acquire real-time business data streams and dynamically group the digital twin model based on the real-time business data streams to generate dynamic virtual grouping strategies;

[0031] Collect device operating parameter data streams and playback screen data streams from each screen, and fuse the device operating parameter data streams, the playback screen data streams, and the real-time business data streams to generate a multi-source fused data stream;

[0032] Perform correlation analysis on multi-source fused data streams to identify abnormal event types and calculate dynamic priorities, generating an event priority list;

[0033] Based on the event priority list and the dynamic virtual grouping strategy, a collaborative judgment is made to generate a collaborative control instruction set containing content control instructions and device control instructions;

[0034] The collaborative control instruction set is sent to the target screen control terminal to execute information display control.

[0035] This invention, through a dynamic virtual grouping strategy, ensures that critical business information is pushed to the most relevant screen clusters based on real-time events, significantly improving the targeting and timeliness of information delivery and optimizing the information acquisition experience for passengers in complex environments. Through in-depth analysis of multi-source fused data streams, this method can diagnose the root causes of screen failures and dynamically assess their actual impact on airport operations. This ensures that maintenance responses are no longer indiscriminate but rather that limited resources are prioritized to address the most critical issues, improving operational efficiency and system stability. Finally, through the generation and execution of collaborative control commands, the system possesses the ability to automatically migrate information and perform redundant backups in the event of a single point of failure, enhancing the robustness and service continuity of the entire information dissemination network and providing solid technical support for ensuring the safe, orderly, and efficient operation of the airport.

[0036] Optionally, the strategy for generating dynamic virtual groups includes:

[0037] Acquire real-time business data streams and parse flight dynamic events from the real-time business data streams;

[0038] Obtain a preset mapping rule for defining the relationship between the flight dynamic events and the airport physical space, and determine one or more key areas affected by the flight dynamic events based on the mapping rule;

[0039] Digital twin models corresponding to screens located within the key area are selected to form a temporary screen set;

[0040] Temporary virtual groups are created for the temporary screen set, and a unified information publishing strategy is assigned to the temporary virtual groups to generate dynamic virtual group strategies.

[0041] Specifically, the system first needs to continuously acquire and parse the real-time business data stream output by the airport's core operations system. This real-time business data stream is continuous data containing various dynamic information about airport operations, such as flight schedules, gate allocations, flight status changes (delays, cancellations, diversions, etc.) from the flight information system. The system parses structured flight dynamic events from this data stream in real time; each event represents a specific business change that needs to be communicated to passengers. After identifying a specific flight dynamic event, the system invokes a preset mapping rule. This mapping rule is a knowledge base whose core function is to define the logical relationships between different types of flight dynamic events and airport physical space areas. For example, a mapping rule can define that the "gate change for a flight" event will affect the "original gate area," "new gate area," "airline check-in counter area," and the "main passenger flow route" connecting these areas. Based on the triggered flight dynamic event type, the system applies the corresponding mapping rule to accurately calculate and determine one or more key areas affected by the event. These key areas are the physical space ranges where information needs to be emphasized. Subsequently, the system uses pre-built digital twin models of each screen for further filtering. Each screen's digital twin model contains its precise physical location information, such as the terminal, floor, area code, or GPS coordinates. The system iterates through all screens' digital twin models, filtering out those whose location attributes fall within the aforementioned key areas to form a temporary screen set. This set is called the temporary screen set. Finally, the system logically creates a temporary virtual group for this temporary screen set. This group is dynamically generated, and its lifecycle is linked to the validity period of the corresponding flight's dynamic events. Simultaneously, the system assigns a unified information dissemination strategy to this temporary virtual group. This strategy specifies the content that all screens within the group need to collaboratively display, such as the specific flight number and old / new gate information for gate changes, content display templates, playback priority, and duration. The final output of this series of actions—the set composed of the temporary virtual group and its associated information dissemination strategy—is the aforementioned dynamic virtual group strategy.

[0042] Optionally, the step of performing correlation analysis on the multi-source fused data stream to identify abnormal event types and calculate dynamic priorities, generating an event priority list, includes:

[0043] The current playback content features are identified from the playback screen data stream in the multi-source fusion data stream, and the expected playback content features of the corresponding screen are obtained from the real-time business data stream.

[0044] The features of the currently playing content are compared with the features of the expected playing content to generate a content consistency judgment result;

[0045] The device health index of the corresponding screen is obtained and calculated from the device operation parameter data stream in the multi-source fused data stream;

[0046] A joint diagnosis is performed based on the content consistency judgment result and the device health index to identify the type of abnormal event.

[0047] Specifically, the first step involves further processing the multi-source fused data streams generated for each screen in the previous steps. The first step is content consistency assessment. The system extracts the playback screen data stream from the multi-source fused data stream, which is typically real-time screen information periodically collected by the screen control terminal's built-in camera or screenshot function. By applying computer vision and pattern recognition technologies, such as Optical Character Recognition (OCR), text information in the screen is extracted, or key visual fingerprints of the screen are extracted using image-aware hashing algorithms and feature point matching algorithms, thereby generating the current playback content features. Simultaneously, the system parses the scheduled playback plan for the screen at the current time point from the real-time business data stream. This plan specifies the flight information, commercial advertisements, or service announcements to be displayed, and the system generates expected playback content features based on this. Subsequently, the current playback content features are precisely compared with the expected playback content features. If it is text information, string matching is performed; if it is a visual fingerprint, its similarity or Hamming distance is calculated. The comparison result is quantified into a content consistency judgment result, which can be a Boolean value representing "consistent" or "inconsistent," or a continuous similarity score. The second step is a quantitative assessment of device health. The system extracts device operating parameter data streams from multi-source fused data streams. These streams contain raw parameters reflecting the hardware status of the screen control terminal, such as CPU temperature, memory usage, network connection latency, screen panel operating time, and brightness. For comprehensive evaluation, the system needs to calculate a unified device health index. This index can be constructed using a weighted model, as shown below:

[0048] ,

[0049] in, This represents the final indicator of equipment health. It is the real-time collected value of the operating parameters of the i-th raw device, such as the CPU temperature value. It is a normalization function that normalizes the original parameters of different dimensions. This is converted into a dimensionless health score between 0 and 1, with a higher score indicating a better state for the parameter. For example, for the temperature parameter, the function output is 1 when it is within the normal operating range, and the function output drops to 0 linearly or non-linearly when it approaches or exceeds the alarm threshold. This is a preset weighting coefficient for the i-th parameter, representing the degree of influence of that parameter on the overall health of the device. The sum of all weighting coefficients is 1. Through this formula, the system can integrate multiple discrete hardware parameters into a single, quantified device health index. The final step is to perform joint diagnosis to identify abnormal event types. The system takes the content consistency judgment result and the device health index as input and performs logical judgment based on a preset diagnostic rule base or decision model. For example, if the content consistency judgment result is "inconsistent," but the device health index score is high, the system determines the abnormal event type as "content delivery anomaly" or "playback software logic error," indicating that the hardware is working normally but there is a problem at the content level. Conversely, if the content consistency judgment result is "inconsistent" and the device health index score is low, the system determines the abnormal event type as "device hardware failure," such as a black screen, screen distortion, or system crash. Through this joint diagnosis, the system can accurately distinguish and identify specific abnormal event types.

[0050] Optionally, the step of performing correlation analysis on the multi-source fused data stream to identify abnormal event types and calculate dynamic priorities, and generating an event priority list, further includes:

[0051] Obtain the location information of the screen associated with the abnormal event, and obtain real-time passenger flow distribution data;

[0052] Based on the location information, the real-time passenger flow distribution data, and the preset correlation coefficient, the impact range coefficient of the abnormal event is calculated;

[0053] The dynamic priority is calculated based on the abnormal event type and the impact range coefficient.

[0054] Based on the dynamic priority, an event priority list is generated.

[0055] Specifically, such as Figure 2 As shown, after identifying an abnormal event on a screen, the system first extracts its precise location information from the screen's digital twin model, such as the terminal, area, specific gate number, or physical coordinates. Simultaneously, the system connects to the airport's passenger flow monitoring system in real time to obtain real-time passenger flow distribution data covering the entire airport. This data is typically presented as a heatmap or gridded density values, reflecting the current population density in different areas of the airport. Next, the system calculates the impact range coefficient of the abnormal event. This is a crucial intermediate indicator used to quantify the potential impact of the abnormal screen on its surrounding environment. Its calculation comprehensively considers both the static importance of the screen's location and the dynamic passenger flow in that area. The impact range coefficient can be calculated using the following model:

[0056] ,

[0057] in, The influence range coefficient represents a dimensionless evaluation value. This indicates the location information of the abnormal screen. It is a preset correlation coefficient that is based on the screen position. The screens are assigned different weight values ​​based on their functional importance. For example, screens located at key process nodes such as security checkpoints and check-in islands will have higher correlation values ​​than screens located in ordinary commercial areas. This coefficient is pre-set and calibrated by the airport management based on operational experience. Represents the current time ,Location The model uses real-time passenger flow distribution data in the surrounding area, i.e., passenger density. It shows that the impact range of a screen anomaly depends not only on its physical location but also on the real-time passenger flow density of its surrounding area. After calculating the impact range coefficient, the system combines previously identified anomaly types to calculate the final dynamic priority. Different anomaly types have different base severity levels. For example, a completely black screen is more severe than a content display error. The system maintains a base severity table, assigning a base severity score to each anomaly type. The dynamic priority calculation model is as follows:

[0058] ,

[0059] in, This refers to the dynamic priority of the abnormal event. It is an abnormal event type The corresponding base severity score, which is obtained by querying the preset severity table. This is the impact range coefficient calculated in the previous step. This formula reveals that the final priority of an event is determined by its inherent severity (event type) and its external influence (location and passenger flow). Finally, the system will sort the dynamic priorities of all pending abnormal events, forming an event priority list arranged from highest to lowest priority. This list will serve as the core basis for subsequent decision-making and resource scheduling.

[0060] Optionally, the step of performing collaborative judgment based on the event priority list and the dynamic virtual grouping strategy to generate a collaborative control instruction set containing content control instructions and device control instructions includes:

[0061] Based on the event priority list, the dynamic virtual grouping strategy is queried to determine the virtual group to which the screen that caused the anomaly belongs;

[0062] Generate the first content control command to cut off the abnormal screen signal source and switch to safe content;

[0063] Generate a second content control instruction to redirect the content originally scheduled to be played on the abnormal screen to other screens in the virtual group that are in a normal state for playback.

[0064] The first content control instruction is bound to the second content control instruction to generate a collaborative control instruction set.

[0065] Specifically, firstly, the system queries the currently active dynamic virtual grouping policy based on the screen identifier associated with the abnormal event. The purpose of this query is to determine the logical cooperating unit to which the screen experiencing the abnormality belonged at the time of the event, i.e., its temporary virtual group. This step is fundamental to achieving coordinated control, as it defines the scope of the fault handling and the resource pool available for performing redundant tasks—that is, all healthy screens within the virtual group except for the abnormal screen. After identifying the abnormal screen and its virtual group, the system begins generating a series of interrelated control instructions. The first step is to generate a first content control instruction to isolate the fault point. The goal of this instruction is to immediately cut off the original signal source or content playlist of the abnormal screen and force it to switch to preset safe content. This safe content is typically a neutral, harmless image, such as an airport sign, a solid color background, or a "Equipment under maintenance" message. Its purpose is to prevent the abnormal screen from continuing to display erroneous, incomplete, or potentially misleading information, ensuring the security of information dissemination. Following this, the system generates a second content control instruction to ensure information continuity. The system retrieves the content originally scheduled to play on the abnormal screen during that time period, especially information with high timeliness and importance, such as flight status updates and emergency notices. Then, the system intelligently relocates this critical content to its corresponding virtual group, where it is played compensatorily on other screens that have passed health checks and are confirmed to be in normal condition. This relocation process may involve dynamically modifying the playlists of these healthy screens, adding critical information by inserting, scrolling, or replacing existing secondary content, ensuring that critical information is not lost from the view of passengers in the target area due to a single point of failure. Finally, the system logically binds the first content control instruction and the second content control instruction generated above. This binding means that the two instructions constitute an inseparable execution unit, namely a collaborative control instruction set. This ensures the synchronicity and atomicity of the two actions: fault isolation and information migration, avoiding situations where only the abnormal screen is cut off without successfully migrating its content, thus creating an information vacuum. This collaborative control instruction set, as the final output of the decision, will be passed to the subsequent instruction issuance module.

[0066] Optionally, the method further includes:

[0067] The device's operating parameter data stream is analyzed over time to predict potential screen failure risks and generate predictive maintenance alarms.

[0068] When the predictive maintenance alarm is received, a screen task migration instruction is generated to migrate the playback task of the target screen to a preset redundant screen.

[0069] Add the screen task migration instruction to the collaborative control instruction set.

[0070] Specifically, the method described in this invention further expands the system's fault management capabilities, extending from responding to existing abnormal events to predicting and mitigating potential fault risks, thus realizing a forward-looking maintenance and information dissemination guarantee mechanism. This process mainly includes predictive analysis of equipment operating status and corresponding task migration strategies. First, the system needs to perform in-depth time-series analysis on the continuously collected equipment operating parameter data stream. This data stream reflects the time-series data of the screen hardware status, such as CPU temperature, fan speed, memory usage, and disk read / write frequency. The system applies one or more time-series prediction models, such as the Autoregressive Integral Moving Average (ARIMA) model and the Long Short-Term Memory (LSTM) network, to predict the future trends of these key parameters. By learning historical data patterns of equipment operating parameters, these models can identify weak signals and abnormal trends indicating equipment performance degradation or potential faults, such as a continuous, slow rise in temperature or a steady decrease in available memory due to memory leaks. When the model predicts that a parameter has a high probability of exceeding its safety threshold within a short future time window, the system generates a predictive maintenance alarm. This alarm differs from real-time fault alarms; it indicates that a fault has not yet occurred but the risk is extremely high, requiring preventative intervention. When the analysis and decision-making module receives this predictive maintenance alarm, it triggers a proactive, preventative control process. The system immediately plans a screen task migration instruction for the target screen indicated in the alarm—the screen with potential fault risk. This process first requires identifying the redundant screen pre-set for the target screen. The redundant screen is a backup screen designated during the system deployment phase, geographically proximate, or functionally replaceable; its information is typically stored in the screen's static attribute information. Next, the system packages all playback tasks for the target screen, including flight information, commercials, and service announcements, for the current and future period, and reassigns them to the designated redundant screen. Essentially, this smoothly and without interruption transfers the information dissemination responsibility before a potential fault occurs. The generated screen task migration instruction defines key information such as the object, target, content list, and effective time of the task migration. Finally, this newly generated screen task migration instruction is added to the previously constructed collaborative control instruction set. This means that predictive maintenance and real-time fault handling are integrated under the same control framework. Whether dealing with existing faults or potential risks, the system can generate a unified set of instructions, which are then issued and executed by the instruction execution and feedback module, ensuring the consistency and integrity of the system's control logic.

[0071] Optionally, the step of sending the collaborative control instruction set to the target screen control terminal to perform information display control includes:

[0072] The collaborative control instruction set is encapsulated into a policy data package;

[0073] The policy data packet is sent to the target screen control terminal;

[0074] The target screen control terminal parses and executes the instruction display information in the policy data packet, and provides real-time feedback on the execution status data.

[0075] Specifically, the method described in this invention for issuing collaborative control commands to target screen control terminals and executing information display control is the final execution stage of the entire intelligent hierarchical information display closed-loop process. This stage ensures that the complex control logic generated by the central analysis and decision-making module can be accurately and efficiently understood and executed by the front-end screen devices. The first step of this process is to standardize and encapsulate the collaborative control command set output by the analysis and decision-making module. The collaborative control command set may include a series of content control commands and device control commands for different screens, such as cutting off the signal source, switching playlists, and restarting the device. The system will encapsulate these structured command sequences, along with metadata such as the target screen identifier, timestamp, and priority, into a unified format policy data packet. This encapsulation is beneficial to the stability of network transmission and the convenience of terminal parsing, and can use formats such as JSON, XML, or custom binary formats. After encapsulation, the command execution and feedback module is responsible for reliably sending this policy data packet to one or more target screen control terminals through the airport's internal dedicated network. The target screen control terminal is an embedded device or computer that directly manages and drives the screen hardware. Network transmission employs reliable protocols, such as TCP or UDP with acknowledgment and retransmission mechanisms, to ensure the complete and error-free delivery of policy data packets. Upon receiving the policy data packet, the target screen control terminal's built-in parsing engine immediately analyzes the packet, extracting the specific instructions for its own terminal. Subsequently, the control terminal strictly executes the corresponding operations according to the instruction sequence and parameters. For example, if the instruction is a first content control instruction, the terminal calls the underlying driver to disconnect the current video input interface and loads locally stored secure content for display; if the instruction is a second content-control instruction, the terminal requests new playlist resources, updates the local playback plan, and begins playing the migrated content. During instruction execution, the terminal continuously monitors its own operational status and the screen's display status. After instruction execution, the target screen control terminal immediately packages the execution result, current device status, and screen screenshot into execution status data and feeds it back to the central instruction execution and feedback module in real time via the network. This real-time feedback mechanism constructs a complete control loop, enabling the central management platform to instantly understand the execution status of each instruction, confirm whether faults have been effectively handled, and whether information dissemination has returned to normal.

[0076] Optionally, the method further includes:

[0077] When the screen control terminal detects an interruption in its network connection with the central management platform, it activates a locally stored set of emergency decision rules.

[0078] Obtain the time point of network connection interruption, and generate an emergency time window based on the time point;

[0079] Based on the emergency decision rule set and the policy data packets received within the emergency time window, the local screen is managed until the network is restored.

[0080] Specifically, the method described in this invention provides a mechanism for autonomous operation and graceful degradation of the screen control terminal under extreme network conditions, greatly enhancing the resilience of the entire information display system. The core of this method lies in endowing the front-end device with limited intelligent decision-making capabilities when it loses connection with the central management platform. This process begins with the target screen control terminal's self-monitoring. Each terminal runs a continuous heartbeat detection program that periodically attempts to establish communication and exchange status signals with the central management platform. When the terminal fails to receive a response from the central management platform multiple times within a preset time window, it determines that its network connection with the central management platform has been interrupted. Once a network interruption is detected, the screen control terminal immediately switches its operating mode and activates a pre-downloaded and locally stored emergency decision-making rule set. This rule set is a simplified, conditional instruction logic that specifies the screen's behavior under different offline scenarios. Simultaneously, the terminal accurately records the time of network connection interruption and uses this as a starting point to generate a continuous emergency time window. This time window serves as the time reference for all subsequent local decisions until the network connection is restored. Within the emergency time window, the screen control terminal will cease attempting to obtain new instructions from the network. Instead, it will manage the local screen based on its local emergency decision rule set and the last successfully received and cached policy data packet before the network outage. For example, the emergency decision rule set might include the following rules: Rule 1: During the first hour after the network outage, continue executing the playback plan from the last received policy data packet to maximize the continuity of information services; Rule 2: If the network outage exceeds one hour, the rule set will instruct the terminal to automatically filter and stop playing all time-sensitive flight information, retaining only commercial advertisements or service announcements, as the cached flight information may be severely outdated; Rule 3: If the network outage exceeds a preset time, such as four hours, the rule set will instruct the terminal to abandon all business content and switch to a unified, pre-set static emergency screen, such as "System maintenance in progress, please consult on-site staff." The terminal will apply these rules progressively as the emergency time window expires, achieving a smooth service degradation. This autonomous management state will continue until the terminal's heartbeat detection program successfully reconnects to the central management platform. Once the network is restored, the terminal will immediately stop executing the emergency decision rule set, report its status and execution logs during the offline period to the central management platform, and request the latest policy data packet to resynchronize to the unified information release rhythm of the entire network.

[0081] Optionally, the method further includes:

[0082] Collect the execution status data and the new multi-source fusion data stream to form closed-loop feedback data;

[0083] The mapping rules are updated using the closed-loop feedback data;

[0084] The correlation coefficient is corrected using the closed-loop feedback data.

[0085] Specifically, the method described in this invention introduces a self-learning and continuously optimized closed-loop feedback mechanism, aiming to enable the decision-making model of the entire intelligent information display system to continuously evolve with the accumulation of actual operational data, thereby improving the accuracy and adaptability of its decisions. This process begins with the continuous collection and integration of data throughout the system's entire operational cycle. After the instruction execution and feedback module completes a collaborative control instruction set, the system collects execution status data from the target screen control terminal, including direct feedback such as whether the instruction was successfully executed, execution time, and a snapshot of the screen image after execution. Simultaneously, the system continues to collect new multi-source fused data streams, including real-time business data stream changes in the affected area after instruction execution, such as whether passenger flow is guided as expected, whether equipment operating parameter data streams have returned to normal, and whether the playback image data stream conforms to the new playback strategy. The system aggregates this post-execution feedback data with new observation data to form structured closed-loop feedback data. Next, the system uses this closed-loop feedback data to iteratively update the two core decision parameter models.

[0086] The first aspect is updating the mapping rules, which define the relationship between flight dynamic events and the airport's physical space. The system analyzes the effectiveness of information dissemination related to flight dynamic events in the closed-loop feedback data. For example, after the system issues a gate change notification, it can determine whether affected passengers have efficiently reached the new gate by analyzing passenger movement trajectories provided by data sources such as CCTV surveillance or Wi-Fi probes. If the data shows that a large number of passengers are still lingering in the original gate area or that there is congestion on the path to the new gate, it indicates that the original mapping rules have not adequately covered all key information touchpoints. Based on such analysis results, machine learning algorithms can automatically or semi-automatically adjust the mapping rules, for example, by adding screens in congested areas to the list of key areas affected by this type of event, thereby achieving dynamic optimization of the mapping rules.

[0087] The second aspect is the correction of the correlation coefficient. The correlation coefficient is a weighted value used to assess the static importance of screen locations when calculating the impact range coefficient of abnormal events. The system conducts long-term statistical analysis of abnormal screen events occurring at different locations, along with corresponding business impact indicators in the closed-loop feedback data, such as changes in passenger inquiries and queue lengths. By establishing a correlation model, the system can quantitatively assess the actual impact of screen malfunctions at different locations on airport operational efficiency. If the data shows that a screen malfunction at a location with a previously low correlation coefficient repeatedly triggers unexpected negative business impacts, the system will correspondingly increase the correlation coefficient of that screen. Conversely, if a screen malfunction at a high-weight location does not significantly impact operations through intelligent redundancy scheduling, its correlation coefficient can be appropriately decreased. This correction based on actual operational data feedback shifts the setting of the correlation coefficient from being driven by subjective experience to being data-driven, making it more consistent with the actual dynamics of airport operations.

[0088] Based on the same inventive concept, such as Figure 3 As shown, the present invention also provides an intelligent hierarchical information display system for multi-level screens in airports, the system comprising:

[0089] The digital twin management module is used to acquire static attribute information, real-time status information and business context information of each screen in the airport, and to build a corresponding digital twin model for each screen based on the static attribute information, the real-time status information and the business context information.

[0090] The dynamic grouping module is used to acquire real-time business data streams and dynamically group the digital twin model based on the real-time business data streams to generate a dynamic virtual grouping strategy.

[0091] The multi-source data fusion module is used to collect device operating parameter data streams and playback screen data streams from each screen, and to fuse the device operating parameter data streams, the playback screen data streams, and the real-time business data streams to generate a multi-source fused data stream;

[0092] The priority analysis module is used to perform correlation analysis on multi-source fused data streams to identify abnormal event types and calculate dynamic priorities, generating an event priority list;

[0093] The analysis and decision-making module is used to make collaborative judgments based on the event priority list and the dynamic virtual grouping strategy, and generate a collaborative control instruction set that includes content control instructions and device control instructions;

[0094] The instruction execution and feedback module is used to send the collaborative control instruction set to the target screen control terminal to perform information display control.

[0095] To verify the feasibility of this invention in practice, it was applied to an airport. This airport, aiming to improve passenger service quality and operational efficiency, sought to implement intelligent and collaborative information display management for the hundreds of multi-level screens distributed throughout its terminal, including Flight Information Displays (FIDS), Gate Information Displays (GIDS), check-in island screens, and guidance screens.

[0096] In this embodiment, the system first constructs a digital twin model for each screen by acquiring its static attributes such as model number, location coordinates, and region; real-time status such as power on / off and network connection; and business context such as regular playback schedule. The system then connects in real-time to flight information systems, passenger flow monitoring systems, etc., to obtain real-time business data streams and environmental data for subsequent dynamic grouping, priority analysis, and collaborative decision-making.

[0097] To verify the beneficial effects of the present invention, the system underwent a three-month trial run in the third quarter of a certain year, and the system performance under multiple typical scenarios was recorded and analyzed.

[0098] At 10:30 AM one morning, the system parsed a flight dynamic event from the real-time business data stream indicating that the boarding gate for flight CZ3101 (originally scheduled for gate A12) had changed to gate B25. The dynamic grouping module was immediately triggered. Based on preset mapping rules—that the boarding gate change event must cover the original boarding gate, the new boarding gate, the airline's check-in area, and the main passenger flow connecting the two gates—15 digital twin models of screens located in these key areas were selected to form a temporary screen set, and a temporary virtual group was created for it. The system then assigned a unified information dissemination strategy to this group, generating a collaborative control instruction set containing content control commands. All screens within the instruction group displayed a prominent notification with high priority: "Flight CZ3101 boarding gate changed to B25," for 15 minutes. The entire process, from the occurrence of the event to the collaborative display of the information on the target screen cluster, took less than 3 seconds, ensuring that affected passengers could obtain critical change information immediately and through multiple touchpoints.

[0099] During the peak departure period at 2:20 PM one afternoon, a key guidance screen, numbered SCR-SEC-01, located at the international security checkpoint entrance of Terminal 1, went black. The multi-source data fusion module collected data streams of the screen's operating parameters, such as CPU temperature and network speed, which were normal. This, along with the playback image (a completely black image), led to a correlation analysis by the priority analysis module. The content consistency was determined to be "inconsistent," and the device health index was calculated to be 0.95. The system's joint diagnosis identified the abnormal event type as "playback software logic error." Subsequently, the system obtained the screen's location information, such as the international security checkpoint, and real-time passenger flow distribution data, such as high passenger density in the current area. Based on the preset correlation coefficient (security checkpoint area weight 0.9) and real-time passenger flow, the dynamic priority of this abnormal event was calculated to be extremely high. The analysis and decision-making module immediately generates a collaborative control instruction set based on the event priority list and dynamic virtual grouping strategy, recognizing that the screen belongs to the security checkpoint virtual group: the first content control instruction cuts off the signal source of SCR-SEC-01 and switches to the "Equipment under maintenance" security content; the second content control instruction reschedules the originally planned security check instructions, waiting time, and other content to be played on another screen in the security checkpoint virtual group that is in normal condition, numbered SCR-SEC-02. The instruction issuance and execution module completes the instruction issuance and execution, and confirms successful handling through execution status data feedback, ensuring the continuity of security checkpoint guidance information.

[0100] On a certain day, the system performed a time-series analysis of the operating parameter data stream of screen SCR-CHK-C05 in check-in island C area over a continuous week. The analysis predicted a sustained, slow upward trend in the CPU temperature of its control terminal, with a risk of exceeding the safety threshold within 48 hours. The system generated a predictive maintenance alarm. Upon receiving the alarm, the analysis and decision-making module generated a screen task migration instruction, smoothly migrating the screen's playback task to a pre-set redundant screen SCR-CHK-C06 at 23:00, during a low-traffic period. Simultaneously, this instruction was added to the collaborative control instruction set and the status of screen SCR-CHK-C05 was marked as "pending maintenance," automatically generating a maintenance work order. This proactive intervention prevented the screen from crashing due to overheating during the following day's peak business hours, achieving a shift from "reactive maintenance" to "pre-emptive warning."

[0101] During the initial trial operation, after processing a gate change event, the system collected closed-loop feedback data and discovered that despite the relevant screens displaying notifications, passenger inquiries remained high at a corner in a commercial area connecting Zones A and B. The system used this feedback data to update the mapping rules, including the guidance screens at that corner within the scope of cross-zone gate change events. Following this optimization, passenger flow in that area significantly improved in subsequent similar event handling.

[0102] In summary, the system of this invention can organize relevant screens into dynamic virtual groups to achieve collaborative information dissemination when faced with different flight dynamic events. The system can perform in-depth diagnosis of screen anomalies, distinguish between software and hardware problems, and calculate event priorities by combining dynamic factors such as location and passenger flow, enabling operational resources to focus on faults with the greatest impact on passengers. The system's collaborative control and proactive maintenance capabilities, whether for information redundancy recovery of real-time faults or for predictive handling of potential risks, ensure the continuity and stability of airport information services.

[0103] It should be noted that the electrical connections between the various units described above do not necessarily represent direct or indirect connections. Any method of indirect connection is applicable to the embodiments of the present invention as long as it achieves the purpose of the present invention. The above descriptions are merely exemplary embodiments of the present invention and should not be construed as limiting the scope of the present invention.

[0104] All equivalent changes and modifications made in accordance with the teachings of this invention are still within the scope of this invention. Those skilled in the art will readily conceive of other embodiments of this invention upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this invention that follow the general principles of this invention and include common knowledge or conventional techniques in the art not described herein.

Claims

1. A method for intelligent hierarchical information display on multi-level screens in airports, characterized in that: The method includes: Obtain static attribute information, real-time status information, and business context information of each screen within the airport, and construct a corresponding digital twin model for each screen based on the static attribute information, the real-time status information, and the business context information; Acquire real-time business data streams and dynamically group the digital twin model based on the real-time business data streams to generate dynamic virtual grouping strategies; Collect device operating parameter data streams and playback screen data streams from each screen, and fuse the device operating parameter data streams, the playback screen data streams, and the real-time business data streams to generate a multi-source fused data stream; Perform correlation analysis on multi-source fused data streams to identify abnormal event types and calculate dynamic priorities, generating an event priority list; Based on the event priority list and the dynamic virtual grouping strategy, a collaborative judgment is made to generate a collaborative control instruction set containing content control instructions and device control instructions; The collaborative control instruction set is sent to the target screen control terminal to execute information display control.

2. The airport multi-level screen intelligent hierarchical information display method according to claim 1, characterized in that, The strategy for generating dynamic virtual groups includes: Acquire real-time business data streams and parse flight dynamic events from the real-time business data streams; Obtain a preset mapping rule for defining the relationship between the flight dynamic events and the airport physical space, and determine one or more key areas affected by the flight dynamic events based on the mapping rule; Digital twin models corresponding to screens located within the key area are selected to form a temporary screen set; Temporary virtual groups are created for the temporary screen set, and a unified information publishing strategy is assigned to the temporary virtual groups to generate dynamic virtual group strategies.

3. The airport multi-level screen intelligent hierarchical information display method according to claim 2, characterized in that, The process of performing correlation analysis on multi-source fused data streams to identify abnormal event types and calculate dynamic priorities, generating an event priority list, includes: The current playback content features are identified from the playback screen data stream in the multi-source fusion data stream, and the expected playback content features of the corresponding screen are obtained from the real-time business data stream. The features of the currently playing content are compared with the features of the expected playing content to generate a content consistency judgment result; The device health index of the corresponding screen is obtained and calculated from the device operation parameter data stream in the multi-source fused data stream; A joint diagnosis is performed based on the content consistency judgment result and the device health index to identify the type of abnormal event.

4. The airport multi-level screen intelligent hierarchical information display method according to claim 3, characterized in that, The step of performing correlation analysis on multi-source fused data streams to identify abnormal event types and calculate dynamic priorities, and generating an event priority list, also includes: Obtain the location information of the screen associated with the abnormal event, and obtain real-time passenger flow distribution data; Based on the location information, the real-time passenger flow distribution data, and the preset correlation coefficient, the impact range coefficient of the abnormal event is calculated; The dynamic priority is calculated based on the abnormal event type and the impact range coefficient. Based on the dynamic priority, an event priority list is generated.

5. The airport multi-level screen intelligent hierarchical information display method according to claim 4, characterized in that, The step of performing collaborative judgment based on the event priority list and the dynamic virtual grouping strategy to generate a collaborative control instruction set containing content control instructions and device control instructions includes: Based on the event priority list, the dynamic virtual grouping strategy is queried to determine the virtual group to which the screen that caused the anomaly belongs; Generate a first content control command to cut off the abnormal screen signal source and switch to safe content; Generate a second content control instruction to redirect the content originally scheduled to be played on the abnormal screen to other screens in the virtual group that are in a normal state for playback. The first content control instruction is bound to the second content control instruction to generate a collaborative control instruction set.

6. The airport multi-level screen intelligent hierarchical information display method according to claim 5, characterized in that, The method further includes: The device's operating parameter data stream is analyzed over time to predict potential screen failure risks and generate predictive maintenance alarms. When the predictive maintenance alarm is received, a screen task migration instruction is generated to migrate the playback task of the target screen to a preset redundant screen. Add the screen task migration instruction to the collaborative control instruction set.

7. The airport multi-level screen intelligent hierarchical information display method according to claim 5, characterized in that, The step of sending the collaborative control instruction set to the target screen control terminal to perform information display control includes: The collaborative control instruction set is encapsulated into a policy data package; The policy data packet is sent to the target screen control terminal; The target screen control terminal parses and executes the instruction display information in the policy data packet, and provides real-time feedback on the execution status data.

8. The airport multi-level screen intelligent hierarchical information display method according to claim 7, characterized in that, The method further includes: When the screen control terminal detects an interruption in its network connection with the central management platform, it activates a locally stored set of emergency decision rules. Obtain the time point of network connection interruption, and generate an emergency time window based on the time point; Based on the emergency decision rule set and the policy data packets received within the emergency time window, the local screen is managed until the network is restored.

9. The airport multi-level screen intelligent hierarchical information display method according to claim 7, characterized in that, The method further includes: Collect the execution status data and the new multi-source fusion data stream to form closed-loop feedback data; The mapping rules are updated using the closed-loop feedback data; The correlation coefficient is corrected using the closed-loop feedback data.

10. An airport multi-level screen intelligent hierarchical information display system, characterized in that, The system includes: The digital twin management module is used to acquire static attribute information, real-time status information and business context information of each screen in the airport, and to build a corresponding digital twin model for each screen based on the static attribute information, the real-time status information and the business context information. The dynamic grouping module is used to acquire real-time business data streams and dynamically group the digital twin model based on the real-time business data streams to generate a dynamic virtual grouping strategy. The multi-source data fusion module is used to collect device operating parameter data streams and playback screen data streams from each screen, and to fuse the device operating parameter data streams, the playback screen data streams, and the real-time business data streams to generate a multi-source fused data stream; The priority analysis module is used to perform correlation analysis on multi-source fused data streams to identify abnormal event types and calculate dynamic priorities, generating an event priority list; The analysis and decision-making module is used to make collaborative judgments based on the event priority list and the dynamic virtual grouping strategy, and generate a collaborative control instruction set that includes content control instructions and device control instructions; The instruction execution and feedback module is used to send the collaborative control instruction set to the target screen control terminal to perform information display control.

Images