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

Abstract

The application discloses an airport multi-level screen intelligent grading information display method and system, belongs to the technical field of data processing and business management, and comprises the following steps: acquiring static attribute information, real-time state information and business context information of each screen in an airport, and constructing a corresponding digital twin model; acquiring real-time business data flow, dynamically grouping the digital twin model, and generating a dynamic virtual grouping strategy; collecting device running parameter data flow and playing picture data flow of each screen, fusing and correlatively analyzing the real-time business data flow, combining the dynamic virtual grouping strategy, generating a same control instruction set, and issuing the same to a target screen control terminal to execute information display control. The method adopts the means of constructing a screen digital twin model, dynamically grouping and priority analyzing based on real-time business data flow, and generating a cooperative control instruction set, and can realize dynamic and accurate display of airport information release, intelligent sensing and self-recovery of faults, and continuous optimization of system decision.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing and business management, in particular to an airport multi-level screen intelligent hierarchical information display method and system. BACKGROUND

[0002] The airport multi-level screen information display system is a key infrastructure in the modern airport operation management and passenger service system. It is composed of a large number of electronic display screens deployed in check-in, security check, departure, arrival and other areas in the terminal building, responsible for publishing flight dynamics, boarding guidance, commercial advertisements, service announcements and other types of information to passengers, and is the main medium for information interaction between the airport and passengers. Its operation efficiency and intelligent level directly affect the operation efficiency of the airport and the travel experience of passengers.

[0003] In the prior art, the management of airport screens usually adopts a digital multimedia information publishing system. Such a system generally performs static grouping management based on the physical location of the screen, for example, screens in the same terminal building or the same departure area are divided into a fixed group, and a unified content play list is issued and scheduled for the entire group. The update of the content mainly depends on manual editing and publishing or simple data interface docking with the flight information system. For the monitoring of the screen state, the network connectivity is detected, and whether the device is online is determined through polling or heartbeat mechanism as the main basis for judging whether the screen is working normally.

[0004] However, the information publishing method based on fixed physical area lacks flexibility and pertinence, and when there are sudden events such as temporary change of boarding gate, it is not possible to accurately push the information to the specific passenger group affected, which may cause information redundancy or omission. Secondly, its fault monitoring means is relatively simple, and it can only determine whether the device is online, but cannot distinguish whether it is a content delivery error, a play software crash or a hardware fault, resulting in low efficiency of operation and maintenance investigation, and it is also unable to evaluate the actual impact according to the importance of the location of the fault screen and the surrounding passenger flow, lacking intelligent emergency response priority judgment. Finally, the whole system lacks feedback and learning mechanism based on actual operation effect, and its information publishing strategy and operation rules are fixed once set and cannot be changed, which cannot adapt to the changes of airport passenger flow mode or business process. SUMMARY

[0005] To solve the above problems, the present application provides an airport multi-level screen intelligent hierarchical information display method and system, which adopts a method of constructing a screen digital twin model, dynamically grouping and priority analysis based on real-time business data flow, and generating a set of collaborative control instructions, which can realize dynamic and accurate display of airport information publishing, intelligent perception and self-recovery of faults, and continuous optimization of system decision.

[0006] The above object can be achieved by the following scheme:

[0007] The airport multi-level screen intelligent hierarchical information display method comprises the following steps: acquiring static attribute information, real-time state information and business context information of each screen in the airport, and constructing a corresponding digital twin model for each screen based on the static attribute information, the real-time state information and the business context information; acquiring real-time business data flow, and dynamically grouping the digital twin model based on the real-time business data flow to generate a dynamic virtual grouping strategy; collecting device running parameter data flow and playing picture data flow of each screen, and fusing the device running parameter data flow, the playing picture data flow and the real-time business data flow to generate a multi-source fusion data flow; performing correlation analysis on the multi-source fusion data flow to identify abnormal event types and calculate dynamic priorities, and generating an event priority list; performing cooperative judgment according to the event priority list and the dynamic virtual grouping strategy to generate a cooperative control instruction set containing content control instructions and device control instructions; and issuing the cooperative control instruction set to a target screen control terminal to perform information display control.

[0008] Optionally, the generating a dynamic virtual grouping strategy comprises: acquiring real-time business data flow, and parsing flight dynamic events from the real-time business data flow; acquiring a preset mapping rule for defining the association relationship 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 rule; screening out the digital twin model corresponding to the screen located in the key area to form a temporary screen set; creating a temporary virtual grouping for the temporary screen set, and assigning a unified information publishing strategy to the temporary virtual grouping to generate a dynamic virtual grouping strategy.

[0009] Optionally, the correlation analysis on the multi-source fusion data flow to identify abnormal event types and calculate dynamic priorities to generate an event priority list comprises: identifying current playing content features from the playing picture data flow in the multi-source fusion data flow, and acquiring expected playing content features of the corresponding screen from the real-time business data flow; comparing the current playing content features with the expected playing content features to generate a content consistency judgment result; acquiring and calculating a device health degree index of the corresponding screen from the device running parameter data flow in the multi-source fusion data flow; and performing joint diagnosis based on the content consistency judgment result and the device health degree index to identify abnormal event types.

[0010] Optionally, the correlation analysis on the multi-source fusion data stream to identify the abnormal event type and calculate the dynamic priority to generate the event priority list further comprises: obtaining position information of a screen associated with the abnormal event, and obtaining real-time passenger flow distribution data; calculating an influence range coefficient of the abnormal event based on the position information, the real-time passenger flow distribution data, and a preset correlation coefficient; calculating a dynamic priority according to the abnormal event type and the influence range coefficient; and generating an event priority list based on the dynamic priority.

[0011] Optionally, the 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 comprises: querying the dynamic virtual grouping strategy based on the event priority list to determine a 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 by the abnormal screen to other screens in a normal state in the virtual group for playing; 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 comprises: performing timing analysis on the device operating parameter data stream to predict potential failure risks of the screen and generate a predictive maintenance alarm; when the predictive maintenance alarm is received, generating a screen task migration instruction for migrating the playing task of a target screen to a preset redundant screen; and adding the screen task migration instruction to the collaborative control instruction set.

[0013] Optionally, the delivery of the collaborative control instruction set to the target screen control terminal to perform information display control comprises: packaging the collaborative control instruction set into a strategy data packet; delivering the strategy data packet to the target screen control terminal; and the target screen control terminal parsing and executing the instruction display information in the strategy data packet, and feeding back execution state data in real time.

[0014] Optionally, the method further comprises: when the screen control terminal detects that the network connection with the central management platform is interrupted, enabling a locally stored emergency decision rule set; obtaining a time node of the network connection interruption, and generating an emergency time window based on the time node; and managing the local screen based on the emergency decision rule set and the strategy data packet received within the emergency time window until the network is restored.

[0015] Optionally, the method further comprises: collecting the execution state data and a new multi-source fusion data stream to form closed-loop feedback data; updating the mapping rule by using the closed-loop feedback data; and correcting the correlation coefficient by using the closed-loop feedback data.

[0016] Based on the same inventive concept, the present application also provides an airport multi-level screen intelligent hierarchical information display system, which comprises: a digital twin management module, configured to acquire static attribute information, real-time state information and business context information of each screen in the airport, and construct a corresponding digital twin model for each screen based on the static attribute information, the real-time state information and the business context information; a dynamic grouping module, configured to acquire real-time business data streams and perform dynamic grouping on the digital twin model based on the real-time business data streams to generate a dynamic virtual grouping strategy; a multi-source data fusion module, configured to collect device operating parameter data streams and playing picture data streams of each screen, and fuse the device operating parameter data streams, the playing picture data streams and the real-time business data streams to generate multi-source fusion data streams; a priority analysis module, configured to perform correlation analysis on the multi-source fusion data streams to identify abnormal event types and calculate dynamic priorities, and generate an event priority list; an analysis and decision module, configured to perform collaborative judgment according to the event priority list and the dynamic virtual grouping strategy to generate a collaborative control instruction set comprising content control instructions and device control instructions; and an instruction execution and feedback module, configured to issue the collaborative control instruction set to a target screen control terminal to perform information display control.

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

[0018] 1. The present application realizes dynamic and accurate display of airport screen information publishing content by constructing a screen digital twin model and fusing multi-dimensional data, can intelligently dynamically group affected screens into temporary virtual groups according to real-time flight dynamic events, ensures that key change information is accurately delivered to the key area where the passenger group most needs the information in the first time, improves the efficiency and relevance of information transmission, and optimizes the travel experience of passengers and the operation order of the airport.

[0019] 2. The present application can accurately diagnose the root cause of abnormal events and dynamically evaluate their influence in combination with real-time passenger flow and other factors to realize intelligent priority sorting of operation and maintenance tasks; when an abnormality occurs, the system can automatically perform information migration and content redundancy to ensure the continuity of key information, and through predictive maintenance capability, changes fault management from post-response to pre-avoidance, thereby enhancing the stability and reliability of the entire information publishing system.

[0020] 3、The system can continuously correct and optimize the mapping rules of defining the business events and the space association, and the association coefficient of evaluating the screen importance through the closed-loop feedback data collected after the instruction execution; this makes the decision logic of the system continuously evolve, and the accuracy of the information release and the accuracy of the fault evaluation continuously improve over time, ensuring the long-term value of the system investment and the continuous high-level support for the airport business.

[0021] Other features and advantages of the present application will be set forth in the following description, and in part will be apparent from the description, or can be learned by practice of the present application. The objects and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0023] Figure 1 is a flowchart of the airport multi-level screen intelligent hierarchical information display method of the embodiment of the present application.

[0024] Figure 2 is a schematic diagram of the priority changing with the event-based severity and real-time passenger flow of the embodiment of the present application.

[0025] Figure 3 is a structural schematic diagram of the airport multi-level screen intelligent hierarchical information display system of the embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0027] REFERENCE Figure 1An embodiment of the present application proposes an airport multi-level screen intelligent hierarchical information display method, which adopts a method of constructing a screen digital twin model, dynamically grouping and priority analysis based on real-time business data flow, and generating a set of collaborative control instructions, and can realize dynamic and accurate display of airport information release, intelligent perception and self-recovery of faults, and continuous optimization of system decision.

[0028] The method of the embodiment specifically includes:

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

[0030] Obtain real-time business data flow, and based on the real-time business data flow, dynamically group the digital twin model to generate a dynamic virtual grouping strategy;

[0031] Collect device running parameter data flow and playing picture data flow of each screen, and fuse the device running parameter data flow, the playing picture data flow and the real-time business data flow to generate a multi-source fusion data flow;

[0032] Correlation analysis is performed on the multi-source fusion data flow to identify abnormal event types and calculate dynamic priorities to generate an event priority list;

[0033] According to the event priority list and the dynamic virtual grouping strategy, a set of collaborative control instructions containing content control instructions and device control instructions is generated through collaborative judgment;

[0034] The set of collaborative control instructions is sent to a target screen control terminal to execute information display control.

[0035] Through the dynamic virtual grouping strategy, the present application ensures that key business information can be pushed to the most relevant screen cluster according to real-time events, greatly improving the pertinence and timeliness of information transmission and optimizing the information acquisition experience of passengers in complex environments. Through deep analysis of the multi-source fusion data flow, the present application can diagnose the root cause of screen failure and dynamically evaluate its actual impact on airport operation, so that the operation and maintenance response is no longer indiscriminate, but can prioritize limited resources to solve the most critical problems, improving operation efficiency and system stability. Finally, through the generation and execution of collaborative control instructions, the system has the ability to automatically migrate and back up information in the event of a single point failure, enhancing the robustness and service continuity of the entire information publishing network, and providing solid technical support for ensuring the safe, orderly and efficient operation of the airport.

[0036] Optionally, the generating a dynamic virtual grouping strategy includes:

[0037] acquire a real-time service data stream, parse a flight dynamic event from the real-time service data stream;

[0038] acquire a preset mapping rule for defining a correlation between the flight dynamic event and an airport physical space, and determine one or more key areas affected by the flight dynamic event according to the mapping rule;

[0039] screen out a digital twin model corresponding to a screen located in the key area to form a temporary screen set;

[0040] create a temporary virtual group for the temporary screen set, and assign a unified information publishing strategy to the temporary virtual group to generate a dynamic virtual group strategy.

[0041] Specifically, first, real-time business data stream output by an airport operation core system needs to be continuously acquired and parsed. The real-time business data stream is continuous data containing various dynamic information of airport operation, such as flight schedule, boarding gate allocation, flight status change, delay, cancellation, and diversion information from a flight information system. The system parses structured flight dynamic events from the data stream in real time, and each event represents a specific business change that needs to be conveyed to passengers. After identifying a specific flight dynamic event, the system will call a preset mapping rule. The mapping rule is a knowledge base, and its core function is to define the logical association between different types of flight dynamic events and airport physical space areas. For example, a mapping rule can define that a “flight boarding gate change” event will affect the “original boarding gate area”, the “new boarding gate area”, the “airline check-in counter area”, and the “main passenger movement line along the way” connecting these areas. According to the type of the triggered flight dynamic event, 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 conveyed. Subsequently, the system will use the digital twin models of the various screens that have been constructed for screening. Each digital twin model of a screen contains its precise physical location information, such as the corresponding terminal, floor, area number, or GPS coordinates. The system will traverse all digital twin models of the screens, and screen out the models whose location attributes fall within the key areas determined above to form a temporary screen set, which is referred to as a temporary screen set. Finally, the system creates a temporary virtual group in logic for the temporary screen set. The group is dynamically generated, and its life cycle is associated with the validity period of the corresponding flight dynamic event. At the same time, the system assigns a unified information publishing strategy to the temporary virtual group. The strategy specifies the content that all screens in the group need to display cooperatively, such as the specific flight number and new and old boarding gate information of the boarding gate change, the display template of the content, the playback priority and duration, etc. The final output of this series of actions, i.e., the set composed of the temporary virtual group and its bound information publishing strategy, is the dynamic virtual group strategy.

[0042] Optionally, the association analysis of the multi-source fusion data stream to identify an abnormal event type and calculate a dynamic priority, and the generation of an event priority list include:

[0043] identifying a current playback content feature from a playback picture data stream in the multi-source fusion data stream, and acquiring an expected playback content feature of a corresponding screen from the real-time business data stream;

[0044] comparing the current playback content feature with the expected playback content feature to generate a content consistency judgment result;

[0045] obtain and calculate a device health index of the corresponding screen from the device running parameter data stream in the multi-source fusion data stream;

[0046] perform joint diagnosis based on the content consistency judgment result and the device health index to identify an abnormal event type.

[0047] Specifically, first, the multi-source fusion data stream generated for each screen in the previous step needs to be subdivided. The first step is the judgment of content consistency. The system extracts a playing picture data stream from the multi-source fusion data stream, which is usually real-time picture information periodically collected by a camera or screenshot function built in the screen control terminal. By applying computer vision and pattern recognition techniques, such as optical character recognition (OCR) technology to extract text information in the picture or using image perception hash algorithm and feature point matching algorithm to extract the key visual fingerprint of the picture, the current playing content feature is generated. At the same time, the system parses the predetermined playing plan of the screen at the current time point from the real-time business data stream, which clearly shows the flight information, commercial advertisements or service announcements that should be displayed, and the system generates the expected playing content feature accordingly. Then, the current playing content feature is accurately compared with the expected playing content feature. If it is text information, string matching is performed; if it is a visual fingerprint, the similarity or Hamming distance is calculated. The result of the comparison is quantified as a content consistency judgment result, which can be a Boolean value representing "consistent" or "inconsistent", or a continuous similarity score. The second step is the quantitative evaluation of the device health. The system extracts a device running parameter data stream from the multi-source fusion data stream, which contains a series of original parameters reflecting the hardware state of the screen control terminal, such as CPU temperature, memory occupancy, network connection delay, screen panel working time, brightness, etc. In order to perform comprehensive evaluation, the system needs to calculate a unified device health index. This index can be constructed by a weighted model, as follows:

[0048] ,

[0049] wherein, represents the final device health index. is the real-time collection value of the i-th original device running parameter, such as CPU temperature value. is a normalization function that converts different dimensional original parameters into a dimensionless health score between 0 and 1, and the higher the score, the better the state of the parameter. For example, for the temperature parameter, when it is in the normal working interval, the function output is 1, and when it approaches or exceeds the alarm threshold, the function output linearly or nonlinearly decreases to 0. 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] wherein, represents the influence range coefficient, which is a dimensionless evaluation value. represents the location information of the abnormal screen. is a preset correlation coefficient, which is given different weight values according to the functional importance of the screen location , for example, the screen located at the security check, check-in island and other key process nodes has a higher correlation coefficient value than the screen located in the ordinary business area. This coefficient is preset and calibrated by the airport management according to the operation experience. represents the real-time passenger flow distribution data around the location at the current time , that is, the passenger density of the area. The model shows that the influence range of a screen abnormal event depends not only on its own physical location, but also on the real-time passenger flow density of the area where it is located. After calculating the influence range coefficient, the system will combine the previously identified abnormal event type to calculate the final dynamic priority. Different abnormal event types have different basic severity levels. For example, the severity of a screen completely black screen is higher than that of a content display error. The system maintains a basic severity table to assign a basic severity score to each abnormal event type. The calculation model of the dynamic priority is as follows:

[0058] ,

[0059] wherein, is the dynamic priority of the abnormal event. is the basic severity score corresponding to the abnormal event type , which is obtained from the preset severity table. is the influence range coefficient calculated in the previous step. This formula reveals that the final priority of an event is determined by its inherent severity, that is, the event type, and its external influence, that is, the location and passenger flow. Finally, the system will sort the dynamic priorities of all abnormal events to be processed to form an event priority list arranged in descending order of priority. This list will serve as the core basis for subsequent decision-making and resource scheduling.

[0060] Optionally, the generating a collaborative control instruction set containing content control instructions and device control instructions according to the event priority list and the dynamic virtual grouping strategy includes:

[0061] querying the dynamic virtual grouping strategy based on the event priority list to determine the virtual group to which the abnormal screen belongs;

[0062] generating a first content control instruction for cutting off the signal source of the abnormal screen and switching to safe content;

[0063] generating a second content control instruction for scheduling the content originally scheduled to be played by the abnormal screen to other screens in the virtual group in normal state for playing;

[0064] binding the first content control instruction and the second content control instruction to generate a set of collaborative control instructions.

[0065] Specifically, first, the system queries the currently effective dynamic virtual group strategy according to the screen identifier associated with the abnormal event. The purpose of this query operation is to determine the logical collaboration unit to which the abnormal screen belongs at the time of the event, that is, the temporary virtual group in which it is located. This step is the basis for achieving collaborative control, as it defines the scope of the impact of this fault handling and the resource pool available for performing redundant tasks, that is, all healthy screens in the virtual group other than the abnormal screen. After determining the abnormal screen and its virtual group, the system begins to generate a series of interrelated control instructions. The first step is to generate a first content control instruction for isolating the fault point. The purpose 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 a preset safe content. This safe content is usually neutral, harmless pictures, such as airport signs, solid color backgrounds, or "device maintenance" prompt information, which aims to prevent the abnormal screen from continuing to display incorrect, incomplete, or potentially misleading information, ensuring the safety of information dissemination. Next, the system generates a second content control instruction for ensuring information continuity. The system obtains the content originally scheduled to be played by the abnormal screen during that time period, especially information with high timeliness and importance, such as flight dynamics, emergency notifications, etc. Then, the system intelligently schedules these key contents to the other screens in its virtual group that are confirmed to be in normal state after health status check for compensatory playing. This scheduling process may involve dynamically modifying the playlists of these healthy screens, inserting key information in the form of intercutting, scrolling, or replacing original secondary content, ensuring that key information will not be lost from the view of passengers in the target area due to a single point 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 form an indivisible execution unit, that is, a set of collaborative control instructions. This ensures the synchronization and atomicity of the two actions of isolating the fault and migrating the information, avoiding the situation where the abnormal screen is cut off but the content is not successfully migrated, resulting in an information vacuum. The set of collaborative control instructions, as the final output of the decision, will be passed to the subsequent instruction issuing module.

[0066] Optionally, the method further comprises:

[0067] performing time series analysis on the device operation parameter data stream, predicting potential failure risk of the screen, and generating a predictive maintenance alarm;

[0068] when receiving the predictive maintenance alarm, generating a screen task migration instruction for migrating a playing task of a target screen to a preset redundant screen;

[0069] adding the screen task migration instruction into the cooperative control instruction set

[0070] Specifically, the method further expands the system's fault management capability, from coping with abnormal events that have occurred, to predicting and avoiding potential failure risks, realizing a forward-looking maintenance and information release guarantee mechanism. The process mainly includes predictive analysis of the device running state and the corresponding task migration strategy. First, the system needs to conduct in-depth time series analysis on the continuously collected device running parameter data stream. The device running parameter data stream is time series data reflecting the state of the screen hardware, such as CPU temperature, fan speed, memory usage, disk read / write frequency, etc. The system applies one or more time series prediction models, such as autoregressive integrated moving average model ARIMA, long short-term memory network LSTM, etc., to predict the future trend of these key parameters. These models can identify weak signals and abnormal trends indicating device performance degradation or potential failure, such as a slow and steady rise in temperature, a steady decline in available memory due to memory leaks, etc., by learning the historical data patterns of device running parameters. When the model predicts that a parameter has a high probability of exceeding its safety threshold within a short time window in the future, the system will generate a predictive maintenance alert. Unlike real-time fault alerts, this alert indicates that the failure has not yet occurred but the risk is extremely high, and preventive intervention is needed. When the analysis and decision module receives this predictive maintenance alert, it will trigger an active and preventive control process. The system will immediately plan a screen task migration instruction for the target screen, which is the screen with potential failure risk, based on the alert. This process first needs to identify the redundant screen preset for the target screen. The redundant screen is a backup screen that is specified during the system deployment phase, has a similar geographical location, or can be functionally replaced, and its information is usually stored in the static attribute information of the screen. Then, the system will package and redistribute all the playing tasks of the target screen, including flight information, commercial advertisements, service announcements, etc., to the designated redundant screen. This is essentially a smooth and uninterrupted transfer of information release responsibilities before potential failure occurs. The generated screen task migration instruction defines the object, target, content list, and effective time of task migration, etc. Finally, the newly generated screen task migration instruction will be added to the previously constructed collaborative control instruction set. This means that the actions of predictive maintenance and real-time fault handling are integrated into the same control framework. Whether it is to cope with failures that have occurred or potential risks, the system can generate a unified format instruction set, which is issued and executed by the instruction execution and feedback module, ensuring the consistency and integrity of the system control logic.

[0071] Optionally, the issuing the collaborative control instruction set to the target screen control terminal to execute information display control comprises:

[0072] encapsulating the collaborative control instruction set into a strategy data packet;

[0073] downloading the policy data packet to a target screen control terminal;

[0074] The target screen control terminal parses and executes the instructions in the policy data packet to display information, and feeds back execution state data in real time.

[0075] Specifically, the method of the present application for issuing cooperative control instructions to a target screen control terminal and executing information display control is the final execution link of the entire intelligent hierarchical information display closed-loop process. This link ensures that the complex control logic generated by the central analysis and decision module can be accurately and efficiently understood and executed by the front-end screen device. The first step of this process is to standardize and encapsulate the cooperative control instruction set output by the analysis and decision module. The cooperative control instruction set may include a series of content control instructions and device control instructions for different screens, such as cutting off the signal source, switching the playlist, restarting the device, etc. The system will encapsulate these structured instruction sequences, along with their execution target screen identifiers, timestamps, priority metadata, etc., 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 format. After encapsulation, the instruction execution and feedback module is responsible for reliably delivering the 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 will use reliable protocols such as TCP or UDP with acknowledgement and retransmission mechanisms to ensure that the policy data packet can be delivered intact. When the target screen control terminal receives the policy data packet, its built-in parsing engine will immediately parse the data packet and extract the specific instructions for this terminal. Subsequently, the control terminal will strictly follow the instruction sequence and parameters to perform the corresponding operations. For example, if the instruction is the first content control instruction, the terminal will call the underlying driver to cut off the current video input interface and load the local stored security content for display; if the instruction is the second content-control instruction, the terminal will request a new playlist resource, update the local playback plan, and start playing the migrated content. During the execution of the instructions, the terminal will continuously monitor its own running state and the display state of the screen. After the execution of the instructions is completed, the target screen control terminal will immediately package the execution results, the current device state, and the screen screenshot into execution state data, and feed back to the central instruction execution and feedback module through the network in real time. This real-time feedback mechanism builds a complete control loop, enabling the central management platform to immediately understand the execution of each instruction, confirm whether the fault has been effectively handled, and whether the information release has returned to normal.

[0076] Optionally, the method further comprises:

[0077] The screen control terminal enables the locally stored emergency decision rule set when detecting the interruption of network connection with the central management platform;

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

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

[0080] Specifically, the method provides a self-operation and graceful degradation guarantee mechanism for the screen control terminal under extreme network conditions, greatly enhancing the resilience of the entire information display system. The core of this method is to give the front-end device limited intelligent decision-making capability when it is disconnected from the central management platform. The process begins with self-state monitoring of the target screen control terminal. A continuous heartbeat detection program runs inside each terminal, which periodically attempts to establish communication with the central management platform and exchange state signals. When the terminal fails to receive a response from the central management platform for multiple consecutive times within a preset time window, it is determined that the network connection between the terminal and the central management platform has been interrupted. Once the network interruption is detected, the screen control terminal immediately switches its working mode and enables a pre-downloaded and stored emergency decision rule set. This rule set is a simplified, condition-based instruction logic that specifies the behavior of the screen under different offline scenarios. At the same time, the terminal accurately records the time node of network connection interruption and generates a continuous emergency time window based on this node. This time window will serve 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 stop attempting to obtain new instructions from the network and instead manage the local screen based on the local emergency decision rule set and the last successfully received and cached strategy data packet before the network interruption. For example, the emergency decision rule set may contain the following rules: Rule One, within the first hour after network interruption, continue to execute the play plan in the last received strategy data packet to maximize the continuity of information services; Rule Two, after more than an hour of network interruption, since the cached flight information may have become severely outdated, the rule set will instruct the terminal to automatically filter and stop playing all time-sensitive flight dynamic content, retaining only commercial advertisements or service announcements; Rule Three, after more than a preset longer time such as four hours of network interruption, the rule set will instruct the terminal to abandon all business content and switch to a unified, pre-set local static emergency screen, such as "System maintenance, please consult the on-site staff." The terminal will apply these rules step by step according to the passage of the emergency time window, achieving smooth degradation of services. This self-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 log during the offline period to the central management platform, and request the latest strategy data packet to re-synchronize with the unified information release rhythm of the entire network.

[0081] Optionally, the method further comprises:

[0082] Collecting the execution state data and new multi-source fusion data streams to form a closed-loop feedback data;

[0083] Updating the mapping rules using the closed-loop feedback data;

[0084] correcting the correlation coefficient using the closed-loop feedback data.

[0085] Specifically, the method of the present application introduces a closed-loop feedback mechanism of self-learning and continuous optimization, aiming to enable the decision model of the entire intelligent information display system to evolve continuously with the accumulation of actual operation data, and improve its decision accuracy and adaptability. The process begins with the continuous collection and integration of system operation full-cycle data. After the instruction execution and feedback module executes a set of collaborative control instructions, the system collects execution state data from the target screen control terminal, which includes direct feedback such as whether the instructions were successfully executed, execution time, and post-execution screen snapshot. At the same time, the system continues to collect new multi-source fusion data streams, which include real-time business data stream changes in the affected area after instruction execution, such as whether the passenger flow line is guided as expected, whether the device operation parameter data stream returns to normal, and whether the playback picture data stream conforms to the new playback strategy, etc. The system aggregates these post-execution feedback data and new observation data to form structured closed-loop feedback data. Next, the system uses these closed-loop feedback data to iteratively update two core decision parameter models.

[0086] The first is the update of the mapping rule, which defines the correlation between flight dynamic events and airport physical space. The system analyzes the information release effect of the flight dynamic event related information in the closed-loop feedback data. For example, after the system issues a notification of gate change, by analyzing the passenger movement trajectory provided by data sources such as closed-circuit television monitoring or Wi-Fi probe, it can determine whether the affected passengers have efficiently reached the new boarding gate. If the data shows that a large number of passengers are still wandering in the original boarding gate area, or there is congestion on the path to the new boarding gate, it indicates that the original mapping rule has not fully covered all key information touch points. Based on such analysis results, the machine learning algorithm can automatically or semi-automatically adjust the mapping rule, for example, by adding the screens in the congested area to the list of key areas affected by this type of event, thereby achieving dynamic optimization of the mapping rule.

[0087] The second is the modification of the relevance coefficient, which is a weight value used to evaluate the static importance of the screen position when calculating the abnormal event influence range coefficient. The system will conduct long-term statistical analysis on the abnormal events occurring at different positions of the screen and the business impact indicators in the corresponding closed-loop feedback data, such as changes in passenger inquiry volume and queue length. By establishing a correlation model, the system can quantitatively evaluate the actual impact of screen failures at different positions on airport operational efficiency. If the data shows that a screen failure at a position with a previously low relevance coefficient repeatedly causes more negative business impact than expected, the system will adjust the relevance coefficient value of the screen at that position accordingly. Conversely, if a screen failure at a high-weight position does not significantly affect operations through intelligent redundancy scheduling, its relevance coefficient can be appropriately adjusted. This modification based on actual operational data feedback changes the relevance coefficient setting from subjective experience-driven to data-driven, making it more consistent with the actual dynamics of airport operations.

[0088] Based on the same inventive concept, the present application also provides an airport multi-level screen intelligent hierarchical information display system, as shown in Figure 3 The system comprises:

[0089] A digital twin management module is configured to obtain static attribute information, real-time state information, and business context information of each screen in the airport, and to construct a corresponding digital twin model for each screen based on the static attribute information, the real-time state information, and the business context information.

[0090] A dynamic grouping module is configured to obtain real-time business data streams and to perform dynamic grouping on the digital twin models based on the real-time business data streams to generate a dynamic virtual grouping strategy.

[0091] A multi-source data fusion module is configured to collect device operating parameter data streams and playing picture data streams of each screen, and to fuse the device operating parameter data streams, the playing picture data streams, and the real-time business data streams to generate a multi-source fusion data stream.

[0092] A priority analysis module is configured to perform correlation analysis on the multi-source fusion data stream to identify abnormal event types and calculate dynamic priorities, and to generate an event priority list.

[0093] An analysis and decision module is configured to perform collaborative judgment based on the event priority list and the dynamic virtual grouping strategy, and to generate a collaborative control instruction set comprising content control instructions and device control instructions.

[0094] An instruction execution and feedback module is configured to issue the collaborative control instruction set to a target screen control terminal and execute information display control.

[0095] To verify the feasibility of the application in implementation, the application is applied to an airport. The airport hopes to intelligently and collaboratively display and manage hundreds of multi-level screens containing flight information display screens (FIDS), gate information screens (GIDS), check-in island screens, guide screens, etc. distributed in the terminal building in order to improve passenger service quality and operational efficiency.

[0096] In this embodiment, the system first constructs a digital twin model for each screen by acquiring the static attributes of the screens such as model, position coordinates, and belonging area, real-time states such as power on / off and network connection, and business context such as regular play plan. The system accesses the flight information system, passenger flow monitoring system, etc. in real time to acquire 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 application, the system conducted a three-month trial run in the third quarter of a certain year, recording and analyzing the system performance in multiple typical scenarios.

[0098] At 10:30 am on a certain day, the system parses the flight dynamic event of flight CZ3101 (originally scheduled for gate A12) changing to gate B25 from real-time business data streams. The dynamic grouping module is immediately triggered, and according to the preset mapping rules that the gate change event needs to cover the original gate, the new gate, the check-in area of the airline, and the main passenger flow line connecting the two gates, it filters out 15 screen digital twin models located in these key areas to form a temporary screen set and creates a temporary virtual group for it. The system immediately assigns a unified information publishing strategy to the group, generates a collaborative control instruction set containing content control instructions, and all screens in the instruction group insert the eye-catching notice of "CZ3101 flight gate change to B25" with high priority for 15 minutes. The entire process takes less than 3 seconds from the occurrence of the event to the collaborative display of information on the target screen cluster, ensuring that affected passengers can obtain key change information in the first time and through multiple touch points.

[0099] At 14:20 on a certain day, a core guidance screen, SCR-SEC-01, located at the entrance of the international security check of T1 terminal, went black. The multi-source data fusion module collected the device running parameter data stream of the screen, such as CPU temperature and network, which were normal, and the playing picture data stream, such as a black image. The priority analysis module performed correlation analysis, the content consistency was determined to be inconsistent, the device health index was calculated to be 0.95, and the system jointly diagnosed the abnormal event type as "playing software logic error". Subsequently, the system obtained the location information of the screen, such as the international security check, and the real-time passenger flow distribution data, such as the current regional passenger flow density being high, and according to the preset correlation coefficient, i.e. the security check area weight 0.9 and the real-time passenger flow, the dynamic priority of the abnormal event was calculated to be extremely high. The analysis and decision module immediately generated a set of collaborative control instructions according to the event priority list and the dynamic virtual grouping strategy. The screen belongs to the security check area virtual group, the first content control instruction is used to cut off the signal source of SCR-SEC-01 and switch to the "device maintenance" safety content, and the second content control instruction is used to dispatch the content originally planned to be played by SCR-SEC-01, such as security check information and waiting time, to another screen, SCR-SEC-02, in the security check area virtual group for playing. The instruction issuing and executing module completes the instruction issuing and executing, and confirms the success of the treatment through the execution state data feedback, ensuring the continuity of the security check guidance information.

[0100] On a certain day, the system predicted that the CPU temperature of the control terminal of a screen, SCR-CHK-C05, in zone C of the check-in island, had a trend of continuous slow rise through time series analysis of the device running parameter data stream of the screen for a week. It was predicted that there was a risk of exceeding the safety threshold within 48 hours. The system generated a predictive maintenance alarm. After receiving the alarm, the analysis and decision module generated a screen task migration instruction to migrate the playing task of the screen to a preset redundant screen, SCR-CHK-C06, at 23:00 on the day when the passenger flow was low. At the same time, the instruction was added to the collaborative control instruction set for issuance, and the status of the screen, SCR-CHK-C05, was marked as "to be maintained", and a maintenance work order was automatically generated. This proactive intervention avoided the screen from going down due to overheating during the business peak period the next day, realizing the transition from "after-maintenance" to "pre-warning".

[0101] In the early stage of trial operation, after processing a boarding gate change event, the system found through collecting closed-loop feedback data that although the relevant screen had issued a notice, the number of inquiries from passengers at a corner of a commercial area connecting zone A and zone B was still high. The system updated the mapping rules using the feedback data to include the guidance screen at the corner into the influence range of the cross-zone boarding gate change event. After this optimization, the passenger flow line in this area was significantly improved in subsequent similar event processing.

[0102] In summary, the system can organize relevant screens to form dynamic virtual groups and realize collaborative publishing of information when facing different flight dynamic events. The system can perform deep diagnosis on screen abnormalities, distinguish software and hardware problems, and calculate event priorities in combination with dynamic factors such as positions and passenger flows, so that operation and maintenance resources can focus on the faults that have the greatest impact on passengers. The collaborative control and active maintenance capability of the system guarantees the continuity and stability of airport information services, whether it is information redundancy recovery for real-time faults that have occurred or predictive disposal for potential risks.

[0103] It should be noted that the electrical connection between the above-mentioned units does not necessarily mean a direct connection of the line, and an indirect connection mode can also be applied to the embodiments of the present application as long as the purpose of the present application is achieved. The above-mentioned is only an exemplary embodiment of the present application, and cannot limit the scope of the present application.

[0104] That is, any equivalent changes and modifications made according to the teachings of the present application are still within the scope of the present application. Other embodiments of the present application will be readily apparent to those skilled in the art upon considering the description and practice of the principles disclosed herein. The present application is intended to cover any variations, uses, or adaptive changes to the present application that follow the general principles of the present application and include common knowledge or conventional technical means in the art that are not described in the present application.

Claims

1. An airport multi-level screen intelligent hierarchical information display method, characterized in that, The method comprises: acquiring static attribute information, real-time state information and business context information of each screen in the airport, and constructing a corresponding digital twin model for each screen based on the static attribute information, the real-time state information and the 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; the generation of the dynamic virtual grouping strategy comprises: 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; screening the digital twin models corresponding to the screens located in the key areas to form a temporary screen set; creating a temporary virtual grouping for the temporary screen set and assigning a unified information publishing strategy to the temporary virtual grouping to generate a dynamic virtual grouping strategy; collecting device running parameter data streams and playing picture data streams of each screen, and fusing the device running parameter data streams, the playing picture data streams and the real-time business data streams to generate a multi-source fusion data stream; performing correlation analysis on the multi-source fusion data stream to identify abnormal event types and calculate dynamic priorities to generate an event priority list; performing collaborative judgment according to 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; downloading the collaborative control instruction set to a target screen control terminal to perform information display control; the correlation analysis on the multi-source fusion data stream to identify abnormal event types and calculate dynamic priorities to generate an event priority list comprises: identifying current playing content features from the playing picture data streams in the multi-source fusion data stream, and obtaining expected playing content features of the corresponding screen from the real-time business data streams; comparing the current playing content features with the expected playing content features to generate a content consistency judgment result; obtaining and calculating a device health index of the corresponding screen from the device running parameter data streams in the multi-source fusion data stream; performing joint diagnosis based on the content consistency judgment result and the device health index to identify abnormal event types; generating an event priority list further comprises: obtaining location information of the screen associated with the abnormal event, and obtaining real-time passenger flow distribution data; calculating an influence range coefficient of the abnormal event based on the location information, the real-time passenger flow distribution data and a preset association coefficient; calculating a dynamic priority according to the abnormal event type and the influence range coefficient; generating an event priority list based on the dynamic priority.

2. The airport multi-level screen intelligent hierarchical information display method according to claim 1, characterized in that, the collaborative judgment according to 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 comprises: querying the dynamic virtual grouping strategy based on the event priority list to determine a virtual group to which the abnormal screen belongs; generating a first content control instruction for cutting off the abnormal screen signal source and switching to safe content; generating a second content control instruction for scheduling content originally planned to be played by the abnormal screen to other screens in the normal state in the virtual group for playing; binding the first content control instruction and the second content control instruction to generate a cooperative control instruction set.

3. The airport multi-level screen intelligent hierarchical information display method according to claim 2, characterized in that, The method further comprises: performing timing analysis on the device operating parameter data stream to predict potential failure risks of the screen and generate a predictive maintenance alarm; when the predictive maintenance alarm is received, generating a screen task migration instruction for migrating the playing task of the target screen to a preset redundant screen; adding the screen task migration instruction to the cooperative control instruction set.

4. The airport multi-level screen intelligent hierarchical information display method according to claim 3, characterized in that, The method further comprises: packaging the cooperative control instruction set into a strategy data packet; downloading the strategy data packet to the target screen control terminal; the target screen control terminal parses and executes the instruction display information in the strategy data packet, and feeds back execution state data in real time.

5. The airport multi-level screen intelligent hierarchical information display method according to claim 4, characterized in that, The method further comprises: when the screen control terminal detects that the network connection with the central management platform is interrupted, the local stored emergency decision rule set is enabled; acquiring a time node of the network connection interruption, and generating an emergency time window based on the time node; based on the emergency decision rule set and the strategy data packet received within the emergency time window, managing the local screen until the network is restored.

6. The airport multi-level screen intelligent hierarchical information display method according to claim 4, characterized in that, The method further comprises: collecting the execution state data and new multi-source fusion data stream to form a closed-loop feedback data; updating the mapping rule using the closed-loop feedback data; correcting the correlation coefficient using the closed-loop feedback data.

7. An airport multi-level screen intelligent hierarchical information display system, applying the airport multi-level screen intelligent hierarchical information display method according to any one of claims 1-6, characterized in that, The system comprises: a digital twin management module configured to acquire static attribute information, real-time state information, and business context information of each screen in the airport, and based on the static attribute information, the real-time state information, and the business context information, construct a corresponding digital twin model for each screen; a dynamic grouping module configured to acquire real-time business data stream, and based on the real-time business data stream, dynamically group the digital twin models to generate a dynamic virtual grouping strategy; a multi-source data fusion module configured to collect device operating parameter data stream and playing picture data stream of each screen, and fuse the device operating parameter data stream, the playing picture data stream, and the real-time business data stream to generate a multi-source fusion data stream; a priority analysis module configured to perform correlation analysis on the multi-source fusion data stream to identify abnormal event types and calculate dynamic priorities, and generate an event priority list; an analysis and decision module configured to cooperatively judge based on the event priority list and the dynamic virtual grouping strategy, and generate a cooperative control instruction set containing content control instructions and device control instructions; An instruction execution and feedback module is configured to issue the set of collaborative control instructions to a target screen control terminal and execute information display control.

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