Coding mapping updating method and system based on airport dynamic event triggering

Abstract

The invention discloses a coding mapping updating method and system based on airport dynamic event triggering. By acquiring dynamic event data, coding state data, attribute mapping data and business process data, structured conversion of dynamic events, deduction and updating of coding states and maintenance of spatial topology consistency are realized. By analyzing an event trigger signal and an encoding state, an encoding state path is reconstructed, encoding mapping is updated, meanwhile, synchronization of a spatial relation and encoding is ensured, and real-time consistency of a digital twin model and a physical world is maintained. In addition, by combining a business process rule with event-driven logic, dynamic effectiveness of coding mapping in the business process is realized, so that business process optimization and decision making based on the latest environment state are driven, end-to-end automation from dynamic event sensing to business strategy adjustment is realized, and the business process optimization and decision making efficiency is improved. And the real-time synchronization of the digital twin model and the efficient response of the business process are ensured.

Description

Technical Field

[0001] This invention relates to the field of airport operation and maintenance management, and specifically to a method and system for updating code mapping based on airport dynamic events. Background Technology

[0002] In modern airport operation and management, digital twin technology serves as a means to achieve deep integration between the physical airport and the digital world. It involves constructing and maintaining a digital mapping model that precisely corresponds to the elements of the physical airport. In this model, each physical entity (such as equipment, facilities, and spaces) is uniquely identified in the digital space and closely linked to attribute data, 3D models, and business processes. To ensure the safety, efficiency, and intelligence of airport operations, when the physical world changes due to dynamic events such as equipment replacement or space renovation, the corresponding digital twin model must be updated synchronously and accurately in a timely manner. Otherwise, decisions will be based on outdated or erroneous information, severely impacting operational efficiency and service quality.

[0003] In existing technologies, updating the aforementioned digital twin models typically employs a combination of manual intervention and semi-automated processing. Specifically, when a physical change event occurs, it is usually discovered and reported by operations and maintenance personnel, followed by a designated person modifying the relevant records in the attribute database, and then adjustments are made to the model by 3D modelers. During this process, changes in coding status, updates to attribute mapping relationships, and maintenance of spatial topology rely heavily on manual judgment and discrete operations. Data synchronization between asset management systems, geographic information systems, and business process systems is often accomplished through pre-defined interfaces or timed batch processing, lacking a unified and coherent driving mechanism.

[0004] This approach actually presents significant technical problems. Its heavy reliance on manual intervention leads to a long cycle from the occurrence of a physical event to the completion of the digital model update, causing delays in digital twin model updates and making it difficult to meet real-time response requirements. Furthermore, human intervention inevitably introduces errors and inconsistencies, resulting in incomplete or inaccurate recording of the state changes of coded elements throughout their lifecycle. Maintaining the mapping relationship between the 3D model and the backend attribute database, as well as complex topological consistency such as spatial adjacency and containment, is also challenging. Moreover, because data updates and business operations are relatively independent processes, changes to the model cannot proactively and promptly trigger adjustments to existing business processes, leading to a disconnect between data updates and business operations. The value of the digital twin fails to be effectively conveyed to the business decision-making level, creating a gap between the "static model" and "dynamic operation." Summary of the Invention

[0005] In view of the above-mentioned actual situation, this application proposes a coding mapping update method and system based on airport dynamic event triggering, in order to solve the technical problems existing in the prior art, such as the lag in digital twin model updates caused by changes in physical space and facilities, the difficulty in maintaining the consistency between coding mapping and spatial topology, and the disconnect between data updates and business process operation.

[0006] A method for updating encoded mappings based on airport dynamic events, the method comprising the following steps: S1, Obtain data to be processed. The data to be processed includes dynamic event data, coding status data, attribute mapping data, and business process data. The dynamic event data is equipment replacement and space renovation maintenance event trigger information. The coding status data is the historical information of the full life cycle status change of the coding element from creation and modification to retirement. The attribute mapping data is the current mapping relationship information between the attribute database and the 3D model coding. The business process data is airport business process rules and event-driven logic information. S2, perform event structure transformation on the dynamic event data to obtain an event trigger signal set. The event structure transformation process generates standardized trigger signals by completing event attributes and deconstructing semantics. S3, perform state transition deduction processing on the event trigger signal set and the encoded state data to obtain the encoded state update set. The state transition deduction processing is based on the trigger signal to deduce the encoded state path and reconstruct the state dependency relationship. S4, perform spatial topology consistency maintenance processing on the encoded state update set and attribute mapping data to obtain a spatially synchronized encoded set. The spatial topology consistency maintenance processing involves recalculating spatial relationships and performing spatial attribute anchoring to maintain consistency between the encoding and the space. S5, perform business process embedding processing on the spatial synchronization encoding set and business process data to obtain an effective encoding mapping set. The business process embedding processing realizes the dynamic effectiveness of the encoding mapping in the business process through business context injection and process state synchronization.

[0007] Furthermore, step S2 includes the following sub-steps: S201, perform event attribute completion processing on the dynamic event data to obtain a standardized event set. The event attribute completion processing is to add spatial positioning and business context attributes to the original events by associating spatial coordinate data with the business rule base. S202, perform event semantic deconstruction processing on the standardized event set to obtain an event trigger signal set. The event semantic deconstruction processing is to extract spatial topology change items and business function change items in the event and generate standardized trigger signals.

[0008] Furthermore, step S3 includes the following sub-steps: S301, perform state impact analysis processing on the event trigger signal set to obtain a state change instruction set. The state impact analysis processing generates coded state transition paths based on spatial topology relationship change items and business function change items. S302, the state change instruction set and the encoded state data are subjected to state serialization deduction processing to obtain the encoded state update set. The state serialization deduction processing is to reconstruct the state dependency relationship between encoded elements and determine the state sequence.

[0009] Furthermore, step S4 includes the following sub-steps: S401, the spatial relation recalculation process is performed on the encoded state update set to obtain the spatial topology update set. The spatial relation recalculation process is an iterative calculation of the spatial adjacency matrix and the hierarchical tree driven by the encoding state change. S402, Spatial attribute anchoring processing is performed on the spatial topology update set and attribute mapping data to obtain a spatial synchronization encoding set. The spatial attribute anchoring processing is to synchronize the updated spatial topology structure to the corresponding encoding record in the attribute database.

[0010] Furthermore, step S5 includes the following sub-steps: S501, Perform business context injection processing on the spatial synchronization coding set to obtain a business context coding set. The business context injection processing dynamically associates the coding set with flight scheduling, passenger flow, and ground service business process instances. S502, perform process state synchronization processing on the business context encoding set and business process data to obtain an effective encoding mapping set. The process state synchronization processing involves constructing state transition equations in the business process engine and driving the re-evaluation of instance policy functions.

[0011] Furthermore, the event attribute completion processing in S201 involves associating spatial coordinate data with the business rule base to add spatial positioning and business context attributes to the original event, including spatial anchoring processing and business context injection processing; the event semantic deconstruction processing in S202 involves extracting spatial topology relationship change items and business function change items from the event and generating standardized trigger signals, including spatial topology relationship parsing processing and business function intent parsing processing.

[0012] Furthermore, the state impact analysis processing in S301 generates coded state transition paths based on spatial topology change items and business function change items, including state derivation processing of directly affected entities and state propagation analysis processing of associated entities; the state serialization deduction processing in S302 reconstructs the state dependency relationships between coded elements and determines the state sequence, including state dependency relationship reconstruction processing and state serialization scheduling processing.

[0013] Furthermore, the spatial relationship recalculation process in S401 is an iterative calculation of the spatial adjacency matrix and the containment hierarchy tree driven by the change of encoding state, including spatial adjacency relationship iterative processing and spatial containment relationship iterative processing; the spatial attribute anchoring process in S402 is to synchronize the updated spatial topology to the corresponding encoded record in the attribute database, including batch update processing of attribute fields and synchronization processing of three-dimensional encoding references.

[0014] Furthermore, the business context injection process in S501 dynamically associates the encoding set with flight scheduling, passenger flow, and ground service business process instances, including business process instance binding processing and context state inheritance processing; the process state synchronization process in S502 constructs state transition equations in the business process engine and drives the re-evaluation of instance policy functions, including state transition equation reconstruction processing and instance policy function re-evaluation processing.

[0015] Furthermore, this application also discloses a code mapping update system based on airport dynamic events, characterized in that the system includes: The acquisition unit is used to acquire data to be processed, which includes dynamic event data, coding status data, attribute mapping data, and business process data. The dynamic event data is equipment replacement and space renovation maintenance event triggering information. The coding status data is the historical information of the status change of the entire life cycle of the coding element from creation and modification to retirement. The attribute mapping data is the current mapping relationship information between the attribute database and the 3D model coding. The business process data is airport business process rules and event-driven logic information. An event structuring processing unit is used to perform event structuring transformation processing on the dynamic event data to obtain an event trigger signal set. The event structuring transformation processing generates standardized trigger signals through event attribute completion and semantic deconstruction. The state transition deduction unit is used to perform state transition deduction processing on the event trigger signal set and the encoded state data to obtain the encoded state update set. The state transition deduction processing is based on the trigger signal to deduce the encoded state path and reconstruct the state dependency relationship. The spatial consistency maintenance unit is used to perform spatial topology consistency maintenance processing on the encoded state update set and attribute mapping data to obtain a spatially synchronized encoded set. The spatial topology consistency maintenance processing involves recalculating spatial relationships and performing spatial attribute anchoring to maintain the consistency between the encoding and the space. The business process embedding unit is used to perform business process embedding processing on the spatial synchronization encoding set and business process data to obtain an effective encoding mapping set. The business process embedding processing realizes the dynamic effectiveness of the encoding mapping in the business process through business context injection and process state synchronization.

[0016] The proposed coding mapping update method and system based on airport dynamic event triggering realize end-to-end automation from dynamic event perception to business strategy adjustment, ensuring real-time synchronization of coding mapping, spatial relationships and physical world in digital twin model, and driving business processes to dynamically optimize and make decisions based on the latest environmental state. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the method flow for a code mapping update method based on airport dynamic events proposed in this application; Figure 2 A schematic diagram of an encoding mapping update system based on airport dynamic events is provided in this application embodiment; Detailed Implementation

[0018] The simulation technology route in 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, and 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.

[0019] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0020] The features and performance of the present invention will be further described in detail below with reference to embodiments. Please refer to the appendix. Figure 1 As shown, a coding mapping update method based on airport dynamic events is described, the method comprising the following steps: S1, Obtain data to be processed. The data to be processed includes dynamic event data, coding status data, attribute mapping data, and business process data. The dynamic event data is equipment replacement and space renovation maintenance event trigger information. The coding status data is the historical information of the full life cycle status change of the coding element from creation and modification to retirement. The attribute mapping data is the current mapping relationship information between the attribute database and the 3D model coding. The business process data is airport business process rules and event-driven logic information. In some implementations, the data to be processed includes dynamic event data, coded state data, attribute mapping data, and business process data. Specifically, the dynamic event data originates from the operation and maintenance records of the airport's physical world and is trigger information describing operational instructions or factual records that cause changes in the real world state, such as equipment replacement or space modification. As the initial input and driving source of the entire method process, the data structure and content of the dynamic event data directly determine the logic and scope of the subsequent processing.

[0021] In some implementations, the coded state data is a collection of information recording the historical and current states of the coded element's state changes throughout its entire lifecycle; the coded element refers to the unique digital identifier corresponding to an airport physical entity (including but not limited to equipment, facilities, and spatial areas) in the digital twin environment; the entire lifecycle covers the complete state sequence of the coded element from creation, activation, modification, deactivation to retirement; the coded state data not only records the instantaneous state but also the transition paths and dependencies between states, providing historical basis and constraints for subsequent state deduction.

[0022] In some implementations, the attribute mapping data serves as a bridge maintaining the association between attribute database records and 3D model encoding. Specifically, it manifests as the current mapping relationship information between specific fields in the attribute database and encoded instances in the 3D model scene. The attribute database stores the static attributes and dynamic parameters of the physical entities corresponding to the encoded elements, and the 3D model encoding is the unique identifier of the entity model in the 3D visualization scene. The accuracy and real-time performance of the attribute mapping data are crucial to ensuring the consistency between the digital twin model and the physical world, and changes in its mapping relationship directly reflect changes in the physical world or business logic.

[0023] In this embodiment, the business process data encapsulates the rules and logic of airport operation management, specifically including predefined business process rules and event-driven logic information. The business process rules specify the standard steps and decision conditions for a series of operational activities such as flight scheduling, passenger flow management, and ground service support. The event-driven logic defines how specific types of events (i.e., the dynamic event data) trigger the execution or change of specific links in the business process. The business process data provides an effective business scenario and execution environment for the update results of the encoding mapping, ensuring that data changes at the technical level can be correctly embedded into operational decisions and operational processes.

[0024] It should be noted that the dynamic event data is the trigger that drives process changes, the coded state data records the current status and historical path of the driven object, the attribute mapping data is the core association that needs to be maintained in a consistent manner, and the business process data defines the rules and environment in which the aforementioned changes finally take effect. Furthermore, the synergistic effect of these four types of data provides complete, consistent data support with business context for the subsequent steps of event structure transformation, state transition deduction, spatial topology consistency maintenance, and business process embedding.

[0025] S2, perform event structure transformation on the dynamic event data to obtain an event trigger signal set. The event structure transformation process generates standardized trigger signals by completing event attributes and deconstructing semantics. Specifically, this step includes the following sub-steps: S201, perform event attribute completion processing on the dynamic event data to obtain a standardized event set. The event attribute completion processing is to add spatial positioning and business context attributes to the original events by associating spatial coordinate data with the business rule base. In some implementations, the event attribute completion process involves associating spatial coordinate data with a business rule base to add spatial positioning and business context attributes to the original event, including spatial anchoring and business context injection.

[0026] In some implementations, the spatial anchoring process assigns spatial location information and topological relationships to dynamic event data based on spatial coordinate data. The dynamic event data itself only contains basic event types and target entity codes. Its spatial coordinate data is a database containing the geometric information and spatial relationships of all coded elements in the airport. Each element is uniquely identified by a code and associated with its spatial bounding box, center point coordinates, and hierarchical path within its spatial container. The spatial anchoring process maps the coded elements mentioned in the event to their corresponding spatial coordinate records by performing a spatial index query and parsing operation. It then extracts and appends the element's absolute spatial coordinates, its functional zone, and its direct spatial container code. This establishes the association between the event and its physical location. It should be noted that the spatial coordinate database and business rule base exist as predefined, relatively static basic data resources in this method. They are loaded and constructed during system initialization and are not dynamically acquired as variable input data in step S1. The spatial coordinate database records predetermined, authoritative spatial geometric and relational information for all coded elements in the airport digital twin environment. The business rule base encapsulates refined and solidified standard business processes and decision-making logic within the airport operations domain. These two bases act as benchmarks during the event attribute completion process, providing a stable and consistent contextual anchoring and semantic enhancement foundation for the incoming dynamic event data. Their update and maintenance cycles are decoupled from the real-time processing flow driven by the dynamic event data.

[0027] In this embodiment, the spatial anchoring process is performed through a spatial mapping function. The function takes as input a set of target codes involved in the dynamic event data. Spatial coordinate database The output is the code for each target. Corresponding enhanced spatial attribute set Its expression is .in Contains the center point coordinates of the encoded element Its circumscribed 3D bounding box And its parent node encoding in the spatial container tree. Furthermore, by calculating all the events involved... Spatial attributes are aggregated to generate the overall spatial impact range of the event. The It is the union of the bounding boxes of these encoded elements, that is .

[0028] In some implementations, the business context injection process assigns business semantics and process associations to spatially anchored events based on a business rule base. The business rule base is a set of rules storing knowledge of airport operations, with rules in the form of "condition-action" pairs. The condition portion defines a combination of attributes such as event type, spatial region, and equipment type, while the action portion specifies the business attributes to be attached. The business context injection process then injects the spatially anchored event set... With business rule base The system performs a matching process. When an event attribute meets the conditions of a certain rule, the rule is executed, and the business attributes defined in the rule action are attached to the event. The business attributes include, but are not limited to, the type of business process affected by the event, the relevant responsible department, the triggered business operation protocol, and the event priority.

[0029] In this embodiment, the business context injection process is performed through a rule matching function. Implementation. This function iterates through the input event set. Each event in and its attributes are matched with the rule base. Each rule in The matching is performed on the conditional part. The matching process can be formalized as a logical judgment: if... Not equal to a non-empty set, meaning the event attributes satisfy the rule. If the condition is met, then execute. The output set of business attributes Updated to Preferably, the rule base The construction of this system relies on standardized process manuals for airport operations, ensuring the accuracy and authority of the injected business context. Specifically, an event concerning "replacement of boarding gate display screens," after being spatially anchored to determine its location in the international departure area, may be assigned a series of business context attributes through business rule matching, such as "affects flight information display process," "responsible department is the Information Technology Department," and "ground service dispatch needs to be notified."

[0030] It should be noted that the spatial anchoring process and the business context injection process have a logical sequence and dependency relationship; the spatial anchoring process provides key spatial location and regional attributes for the business context injection, and these spatial attributes are one of the core conditions for the business rule base to make matching judgments; the two processing steps are executed in sequence, and together they transform the original dynamic event data that lacks context into a standardized event set rich in spatial and business semantics.

[0031] The standardized event set is the output of the event attribute completion processing, and its data structure is a sequence of tuples, where each tuple represents a standardized event; in this embodiment, a standardized event... Represented as ,in It is raw event data. It is a set of event target codes. It is a set of spatial attributes generated by spatial anchoring processing. It is a set of business attributes generated by business context injection processing. The standardized event set provides a well-structured and complete input for subsequent event semantic deconstruction processing, ensuring the accuracy and reliability of trigger signal generation.

[0032] S202, perform event semantic deconstruction processing on the standardized event set to obtain an event trigger signal set. The event semantic deconstruction processing is to extract spatial topology change items and business function change items in the events and generate standardized trigger signals. In this embodiment, the event semantic deconstruction processing involves extracting spatial topology change items and business function change items from the event and generating standardized trigger signals, including spatial topology parsing processing and business function intent parsing processing.

[0033] In some implementations, the spatial topology relation resolution process is based on the spatial attributes of a standardized event set, and through calculation and reasoning, generates change items that accurately describe changes in spatial structure. Included parent node encoding And the overall spatial impact range These are the input parameters for this process. The process utilizes a spatial relation inference function. This function accesses a predefined spatial relation model library. The model library defines the possible topological relationship types between various spatial entities in the airport environment, including adjacency, containment, and connectivity. The function... The operation is to encode the event target set. and its spatial properties With model library Perform matching and logical reasoning to output a set of spatial topological relationship change items. Specifically, for a "wall demolition" event, this process parses the target wall's code, locates the two adjacent spaces based on its parent node's code, and then infers that the topological relationship changes from "isolated" to "connected," recording this change and the codes of the two involved spaces. The spatial topology change item. Represented as a series of triples The set of, where Is it the affected encoding or encoding pair? This refers to the topology before the change. It is the changed topology.

[0034] In this embodiment, the business function intent parsing process is based on the business context attributes of a standardized event set. Through parsing and mapping, it generates change items that clearly describe changes in business logic. The input to this process is also... Its core is to utilize The business attributes have already been injected. The processing is performed through a business rule mapping function. This function is associated with a business function state machine. The state machine defines the allowed functional states and transition paths of different business entities (such as devices and spaces). The function... It is based on the type of event and The business attributes in The system queries and determines the business function state transition indicated by the event, and outputs a set of business function change items. Preferably, for a "check-in counter upgrade" event, the processing will be based on its business attribute "check-in service" and event type "upgrade," from... The system maps the change in check-in status from "standard check-in" to "self-service baggage drop-off" and records this change along with the target counter code. The aforementioned business function change items. Represented as a series of triples The set of, where These are the affected codes. This refers to the state of the business functions before the change. This refers to the changed business function status. It's worth mentioning that the spatial topology relationship parsing and business function intent parsing are logically parallel and interconnected; both operate on the same standardized event set, deconstructing the deep semantics of the events from both spatial structure and business logic dimensions. Furthermore, the outputs of these two processes, namely... and Together, they constitute a complete machine-readable semantic interpretation of the original event, providing a content foundation for generating standardized trigger signals.

[0035] In this embodiment, an event trigger signal Defined as a structured object that encapsulates all the aforementioned change information, it is represented as This signal set provides standardized and semantically clear input for the subsequent state impact analysis in step S301. and It will be used directly as the core basis for generating the encoded state transition path.

[0036] S3, perform state transition deduction processing on the event trigger signal set and the encoded state data to obtain the encoded state update set. The state transition deduction processing is based on the trigger signal to deduce the encoded state path and reconstruct the state dependency relationship. Specifically, this step includes the following sub-steps: S301, perform state impact analysis processing on the event trigger signal set to obtain a state change instruction set. The state impact analysis processing generates coded state transition paths based on spatial topology relationship change items and business function change items. In this embodiment, the state impact analysis processing generates coded state transition paths based on spatial topology change items and business function change items, including state derivation processing for directly affected entities and state propagation analysis processing for associated entities. In some implementations, the state derivation processing for directly affected entities determines the core state transition path for coded entities explicitly mentioned in the event trigger signal based on their business function change items. The input to the processing is the event trigger signal set. Specifically, it focuses on the set of business function changes. The process is performed through a state transition function. The function is implemented by associating a coded lifecycle state model. The model defines, in the form of a finite state machine, all allowed states for various coded entities from creation to retirement, as well as the legal transition conditions between states. The function is for Each triple in Based on its business function type and new functional status ,exist Query and determine the coded entity. The target lifecycle state to which it should transition Specifically, for a counter code whose business function changes from "regular check-in" to "self-service baggage check-in"... This process is through Query Subsequently, it is deduced that its lifecycle state needs to transition from "in use" to "under upgrade," and then point to "in use (new feature)." This process is applied to each directly affected entity. Output a preliminary state transition path ,in This represents the current lifecycle state of the code. This is the target state derived from the functional change.

[0037] In this embodiment, the associated entity state propagation analysis process is based on spatial topology change terms, analyzing and deriving the state transition paths of associated coded entities affected by spatial structure changes. The input to this process is also a set of event trigger signals. And utilize the set of spatial topology change terms within it. and the preliminary path set derived from the state deduction of directly affected entities. The process is performed through a state propagation function. This function accesses a predefined spatial state dependency rule base. The rule base defines how different types of spatial topology changes (such as changes in connectivity or the removal of containment relationships) will trigger changes in the state of associated entities. The function... The operation is: for Each change item in, in Match the applicable rules and determine the set of associated coded entities whose states need to be changed based on the rule logic. and its corresponding target state Furthermore, regarding For each triplet t in the set, there exists a dependency rule set. This makes the set of related entities Each associated entity target state According to the corresponding rules The output is determined by [the factor]. Used to refer to a subset of dependency rules The scope of application is the set of coded entities to which all rules in the set apply. Specifically, for each dependency rule matched by the spatial topology change term t... Each rule r explicitly defines the coded entity types or specific entity lists to which it applies; the... That is, the union of all the entities to which all these rules r apply. Furthermore, this union operation is expressed as... ,in This represents the set of objects to which a single rule r applies. Preferably, the... In practical implementation, configuration and calculation can be performed through predefined entity type labels, spatial region ranges, or specific encoding lists in the rules. For example, a "channel closure" event causes two spaces to... and The topological relationship changes from "connected" to "isolated," according to The rules in the passage are used to deduce a specific boarding gate that depends on that passage. The status needs to be changed from "available" to "temporarily closed".

[0038] In this embodiment, the directly affected entity state derivation processing and the associated entity state propagation analysis processing are logically sequential and complementary; the former processes the target entities directly affected by the event, while the latter processes entities indirectly affected due to spatial association. The output of the two processes is the preliminary state transition path of the directly affected target. The propagation state transition path of related entities.

[0039] In this embodiment, the state change instruction set I is a subset of instructions generated by the state derivation processing of the directly affected entity. The subset of instructions generated by the state propagation analysis and processing of the associated entities The union of, i.e. A status change instruction Defined as a structured object that encapsulates complete state transition decisions, it is represented as , where c is the encoded entity, which comes from the set of target entities identified in the two processes mentioned above; This is the lifecycle state of the encoded entity c before its transition; It is the target state after the transition, determined through state influence analysis; This is a transition type identifier that represents the source of the instruction. It should be noted that the transition type identifier... The value is directly determined by the two sub-processing logics in the state influence analysis process: specifically, for instructions originating from the state derivation process of the directly affected entity, its The value assigned is This processing logic is based on business function changes. Driven state transitions; for instructions originating from the state propagation analysis and processing of the associated entities, The value assigned is This processing logic is based on spatial topology change items. and dependent rule base Driving State Transitions. This instruction set accurately and completely describes all coded entities (including direct and associated entities) in the digital twin environment that require state transitions in response to initial dynamic events, along with their target states. It also records the driving sources of these state transitions, providing the necessary logical basis for reconstructing state dependencies and determining sequences in subsequent steps.

[0040] S302, the state change instruction set and the encoded state data are subjected to state serialization deduction processing to obtain the encoded state update set. The state serialization deduction processing is to reconstruct the state dependency relationship between encoded elements and determine the state sequence. In this embodiment, the state serialization deduction process reconstructs the state dependencies between encoded elements and determines the state sequence, including state dependency reconstruction processing and state serialization scheduling processing. In some implementations, the state dependency reconstruction processing constructs a directed graph model reflecting the state update dependencies between encoded elements based on the state change instruction set and encoded state data. The input to the processing includes the state change instruction set. and the encoded state data obtained in step S1 This data records the historical state transition paths and inherent state dependencies of the encoded elements. The processing is performed using a dependency graph construction function. To implement this, the function first initializes a directed graph. The vertex set V is composed of the encoded entities c involved in all instructions in I. The function... The core operation is based on Based on predefined state dependency rules and the spatial and functional logical relationships between encoded entities, a directed edge set E is established between vertex sets V. A directed edge... Represents vertices The state change of the coded entity represented Must be at the vertex The state change of the coded entity represented Execution can only proceed after completion. Specifically, the conditions for determining dependencies... It can be defined as: For example, the installation of a new device ( It may be necessary to enable the functions of the space it resides in before they are enabled. This dependency is... The business rules are defined and are Conditional capture.

[0041] In this embodiment, the state serialization scheduling process is based on the directed graph of state dependencies, and an executable state update sequence is determined through computation. The input to the process is the directed graph obtained after the state dependency reconstruction process. The processing is performed using a topological sorting function. The function performs a topological sort on a graph G to generate a linear sequence of instructions to be executed. The computation of the topological sort follows graph theory principles, and its goal is to find a sequence of vertices. (in It is a permutation, such that for each directed edge in the graph ,vertex They all appear at the vertices in sequence L. Previously, this process was represented as: ,in , The aforementioned It is a position indexing function. Its domain is the topological sequence L, and the function returns the vertices. The specific position index (or subscript) in this ordered sequence L is actually defined by the formula for each directed edge in the dependency graph G. In a given state update sequence L, the vertex The execution position of the corresponding state change instruction must be at the vertex. Before the corresponding state change instruction. Furthermore, if a cycle exists in the directed graph G, it means there is a circular dependency, and the topological sorting function... If a complete linear sequence cannot be generated, the system will throw an exception and notify the management terminal for manual intervention. Preferably, for a graph G without loops, there are multiple valid topological sequences, and the function... An optimal execution sequence is determined by combining instruction priority or timestamp information. In other words, the state dependency reconstruction process and the state serialization scheduling process logically form a strict sequential order; the former is responsible for identifying and defining problem constraints (dependencies), while the latter is responsible for solving feasible execution schemes (state sequences) under these constraints. These two processing stages together ensure that the state changes of multiple associated encoded elements are implemented in a logically consistent and conflict-free order.

[0042] In this embodiment, the encoded state update set Defined as an ordered list of instructions, it is represented as Each state change instruction in this sequence All originate from the input set I, but their arrangement strictly follows the sequence L generated by topological sorting. The encoded state update set is generated by identifying the dependencies between all state change instructions through state dependency reconstruction processing and constructing a directed graph. Then, the state serialization scheduling processing performs topological sorting on the directed graph, transforming the instruction set with dependencies into a linear, conflict-free executable sequence. The encoded state update set not only contains information on "what state changes need to be made" but also specifies the logic on "in what order these changes should be executed." This temporal attribute is the guarantee for maintaining the state consistency and business continuity of complex encoded elements in the airport digital twin model.

[0043] S4, perform spatial topology consistency maintenance processing on the encoded state update set and attribute mapping data to obtain a spatially synchronized encoded set. The spatial topology consistency maintenance processing involves recalculating spatial relationships and performing spatial attribute anchoring to maintain consistency between the encoding and the space. Specifically, this step includes the following sub-steps: S401, the spatial relation recalculation process is performed on the encoded state update set to obtain the spatial topology update set. The spatial relation recalculation process is an iterative calculation of the spatial adjacency matrix and the hierarchical tree driven by the encoding state change. In this embodiment, the spatial relationship recalculation process is an iterative calculation of the spatial adjacency matrix and the containing hierarchical tree driven by the encoding state change, including spatial adjacency relationship iterative processing and spatial containment relationship iterative processing.

[0044] In some implementations, the spatial adjacency iteration process is based on a local reconstruction of the spatial adjacency matrix using the encoded state update set. This step requires the use of the previous spatial adjacency matrix. It should be noted that the current spatial adjacency matrix is ​​initialized by the system from a portion of the attribute mapping data. Essentially, it is a complete expression of the adjacency relationships between all spatially encoded elements at the current moment, maintained by the airport digital twin model before processing this dynamic event. This spatial adjacency matrix is ​​an N*N square matrix, where N is the total number of airport spatially encoded elements, and the matrix elements are... Representation encoding With encoding Spatial adjacency relationship between them, when Time indicates adjacency. The time indicates that they are not adjacent. The process involves traversing... Each state change instruction in When the target state indicated by the instruction When a physical change involves the spatial boundary, an update to matrix A is triggered. This update is performed via an adjacency update operator. The operator is implemented according to the instructions. The corresponding spatial change semantics modify the rows and columns in matrix A related to the encoding c. The specific matrix iteration calculation formula is as follows: For example, if the instruction indicates two adjacent spaces and If a new partition wall is built between them, then the operator... Execution and This operation ensures that spatial adjacency relationships remain consistent with the latest physical state of the encoded entities.

[0045] In this embodiment, the spatial inclusion relationship iterative processing adjusts the nodes of the spatial inclusion hierarchy tree based on the encoded state update set. Its core function is to maintain the correct attribution relationship of spatial encoded elements in the container hierarchy structure. The spatial inclusion hierarchy tree T is a tree-like data structure used to represent the inclusive organizational structure between airport spatial entities. The root node of the tree represents the entire airport, the child nodes represent lower-level spaces such as terminals and functional areas, and the leaf nodes can represent specific rooms, boarding gates, or equipment locations. Any node in the tree is a direct spatial container for all its child nodes, and conversely, any child node belongs to the spatial range represented by its parent node. The input to the processing is an ordered encoded state update set and the current spatial inclusion hierarchy tree. This hierarchical tree originates from attribute mapping data, which serves as a benchmark data model representing the current spatial topology of an airport's digital twin. The spatial containment hierarchical tree T is a tree-like data structure where nodes represent spatially encoded elements, and parent-child relationships between nodes represent direct spatial containment relationships. The processing traversal... Each state change instruction in When the target state indicated by the instruction When a change occurs involving the ownership of a spatial container, an adjustment to tree T is triggered. This adjustment is performed through an inclusion relation update operator. The operator is implemented according to the instructions. The corresponding spatial attribution change semantics involve moving nodes in tree T. The specific hierarchical tree iterative calculation formula is as follows: The movement operation removes the target node from the child node list of its current parent node (i.e., the original parent container) and adds the target node to the child node list of the new parent node (i.e., the new parent container). For example, a state change instruction instructs "move check-in counter C101 from the third check-in island to the fifth check-in island." In this business scenario, the spatial containment relationship iteration process is triggered; the process performs tree node movement, removing the node representing counter C101 from its original parent node "third check-in island" and adding it to the new parent node "fifth check-in island." This process ensures that the spatial containment hierarchy remains consistent with the latest spatial layout and organizational affiliation of the coded entities.

[0046] It can be determined that the spatial adjacency relationship iteration processing and the spatial inclusion relationship iteration processing are logically executed in parallel and share triggering conditions; both are controlled by the same ordered set of encoded state updates, and co-evolve the overall spatial topology of the airport from the two orthogonal dimensions of horizontal adjacency relationships and vertical inclusion relationships, respectively. The spatial adjacency matrix A and the spatial inclusion hierarchy tree T together constitute a complete mathematical model describing the airport's spatial topology.

[0047] In this embodiment, the spatial topology update set Defined as a difference set that records changes in spatial topology, denoted as... .in It represents the incremental change of the spatial adjacency matrix, and its non-zero elements identify the encoded pairs where the adjacency relationship has changed; The structured change log representing the spatial topology contains a hierarchical tree, recording the sequence of add, delete, and modify operations for all nodes. This spatial topology update set accurately describes all incremental changes in the spatial topology caused by changes in coded state, providing a clear and actionable synchronization target for the subsequent spatial attribute anchoring process in step S402.

[0048] S402, Spatial attribute anchoring processing is performed on the spatial topology update set and attribute mapping data to obtain a spatial synchronization encoding set. The spatial attribute anchoring processing is to synchronize the updated spatial topology structure to the corresponding encoding record in the attribute database. In this embodiment, the spatial attribute anchoring process synchronizes the updated spatial topology to the corresponding coded records in the attribute database, including batch update processing of attribute fields and synchronization processing of 3D coded references.

[0049] In some implementations, the batch update processing of the attribute fields is based on incremental changes in the adjacency matrix of the spatial topology update set. The topological relationship attributes of the relevant coded records in the attribute mapping data are revised. The input to this process is the spatial topology update set from step S401. ,in It is the increment of the spatial adjacency matrix calculated in step S401, and its elements The code pairs were clearly identified. The direction of the adjacency change; when When, it indicates that it changes from non-adjacent to adjacent, that is, a new adjacency is added; when When this occurs, it indicates a change from adjacency to non-adjacency, i.e., the adjacency is removed. The attribute mapping data... Includes attribute database records It stores the adjacent encoding list field of encoding c. The process involves traversing... All non-zero elements To drive attribute updates, specifically, for each Perform atomically when or execute when .in coding The attribute database stores a "list of adjacency codes" field, which records all adjacency codes related to... Other encodings exist for spatial adjacency relationships. This ensures that the adjacency relationships stored in the attribute database match the new spatial adjacency matrix generated in step S401. Completely consistent, maintaining the topological accuracy of the digital twin model at the data level.

[0050] In this embodiment, the three-dimensional encoding reference synchronization processing is based on the hierarchical tree change log in the spatial topology update set. Consistency adjustments are made to the spatial container references of coded instances in the 3D model scene. This log records all node movement operations on the spatially contained hierarchical tree T during step S401, with each operation represented as a triple. Where 'c' is the code for the container change. It is the encoding of the original parent container. It is a new parent container encoding. Each encoding instance c in the 3D model scene maintains a parent reference attribute. , which points to its direct space container. This is represented by the "parent reference" property maintained by the coded instance c in the 3D model scene, pointing to its direct spatial container. The process involves traversing... Move the record for each node in the process and perform a reference update atomically: for each set up This operation is implemented through the node overparent method of the 3D graphics interface, which is expressed as follows: This ensures that the spatial hierarchy in the 3D scene is consistent with the new spatial hierarchy tree generated in step S401. Strict synchronization maintained the topological consistency of the digital twin model at the visualization level.

[0051] It should be noted that the batch update processing of the attribute fields and the synchronization processing of the 3D encoding references logically constitute an atomic transaction unit; both process the same spatial topology change set from the perspectives of the background storage of the attribute database and the front-end visualization of the 3D scene, respectively. A coordinated response is then implemented. Furthermore, the coordinated execution of these two processes jointly achieves consistent anchoring of "attribute data" and "geometric scene" in the spatial topology dimension within the digital twin model, with its output directly relying on the incremental change information provided by step S401. and .

[0052] In this embodiment, the spatial synchronization coding set Defined as a set of codes that have completed spatial topology attribute synchronization, it is represented as ,in A complete data record in the attribute database corresponding to the code 'c'. This indicates the complete data record corresponding to the code 'c' in the attribute database. In the middle, access its name The specific field refers to the list of current adjacency relationships encoded as 'c', stored in the attribute database. In general, the set contains all the adjacency lists in its attribute database. The new spatial adjacency matrix calculated in step S401 The corresponding row vectors in the middle are consistent, and their parent references in the 3D scene are consistent. The new space calculated with step S401 contains a hierarchical tree. The parent node assigns consistent encoding elements. The spatially synchronized encoding set... This signifies that the spatial topology attributes of the encoded elements have completed a consistent update across the entire chain, from computation to storage to visualization, providing a spatially ready set of encoded elements for the subsequent business process embedding processing in the S5 steps.

[0053] S5, perform business process embedding processing on the spatial synchronization encoding set and business process data to obtain an effective encoding mapping set. The business process embedding processing realizes the dynamic effectiveness of the encoding mapping in the business process through business context injection and process state synchronization. Specifically, this step includes the following sub-steps: S501, Perform business context injection processing on the spatial synchronization coding set to obtain a business context coding set. The business context injection processing dynamically associates the coding set with flight scheduling, passenger flow, and ground service business process instances. In this embodiment, the business context injection process dynamically associates the encoding set with flight scheduling, passenger flow, and ground service business process instances, including business process instance binding processing and context state inheritance processing.

[0054] In some implementations, the business process instance binding process dynamically associates the coded elements contained in the spatial synchronization coding set and their updated spatial topology attributes with specific business process instances that are being executed or about to be triggered. The input to this process is the spatial synchronization coding set and business process instance data obtained in real time from the airport operations system. This data includes the current status and parameters of flight scheduling instance F, passenger flow instance P, and ground handling service instance G. The processing is performed using an instance matching function. This function, based on predefined business rules, will... Each code 'c' in the matrix maps to one or more business process instances affected by changes in its spatial state. Specifically, the matching logic determines the association based on the spatial location of the code, its functional type, the spatial range of the business process instance, and its resource requirements. This binding relationship can be represented by an association matrix B, where the matrix elements... This represents the code c and the business process instance i ( Establish a connection, otherwise Its expression is as follows: For example, an updated gate code. Based on its spatial coordinates and the terminal it belongs to, it will be linked to all flight scheduling instances scheduled to use that gate. superior.

[0055] In this embodiment, the context state inheritance process assigns specific runtime states and context parameters to the associated business process instances of the coded elements that have completed instance binding. The input to this process is the association matrix B output by the business process instance binding process, and the business process instance data. The detailed state of the included instances. This processing is performed via a state injection function. This function iterates through all non-zero elements in the association matrix B. For each pair of associated codes c and instance i, the current key state attributes of instance i (such as flight status, passenger flow density, service task progress) are extracted and encapsulated into a set of context attributes. And append it to the encoding c. The context attribute The injection operation can be formally represented as Preferably, for code that is associated with multiple business process instances, its context attributes are the union of the context attributes of all associated instances i. This process ensures that each piece of code that needs to be reintegrated into the business environment due to spatial topology updates carries real-time snapshot information of its current business environment.

[0056] The business process instance binding process and the context state inheritance process are logically ordered in a strict sequence. The former solves the problem of "associating with whom" the code is, establishing a static link between the code and the business instance; the latter solves the problem of "inheriting which state" the code is, injecting a dynamic business context into the associated code. The two processing steps are executed sequentially, together transforming the spatially synchronized code set into a code set that is deeply integrated into the airport's business operation environment and rich in real-time business semantics.

[0057] In this embodiment, the business context encoding set Defined as a set of codes that extends business context attributes, represented as Where c is derived from The encoded elements, It is the set of business context attributes inherited by this code. This is the set of business process instances associated with the encoding (i.e., the set of non-zero column indices corresponding to encoding c in the association matrix B). The business context encoding set signifies that the encoding element has completed the upgrade from pure spatial semantics to spatial-business hybrid semantics, providing input with a complete business context for the subsequent process state synchronization processing in step S502.

[0058] S502, perform process state synchronization processing on the business context encoding set and business process data to obtain an effective encoding mapping set. The process state synchronization processing involves constructing state transition equations in the business process engine and driving the re-evaluation of instance policy functions.

[0059] In this embodiment, the process state synchronization processing involves constructing state transition equations in the business process engine and driving the re-evaluation of instance policy functions, including state transition equation reconstruction processing and instance policy function re-evaluation processing.

[0060] In some implementations, the state transition equation reconstruction process transforms the updated spatial topology and business attributes carried by the business context encoding set into a correction to the core state evolution logic in the business process engine. This process receives... Each element implicitly represents new constraints and conditions that need to be reflected in the business process due to changes in the physical world. The business process engine maintains its internal state vector S, which comprehensively represents operational indicators such as flight node status, passenger flow density, and ground service resource utilization. The state transition equation is expressed as follows: Where E is an external event, that is, according to The newly defined spatial business relationships are dynamically reconstructed to refactor the state transition function F, generating an updated function. Specifically, the reconstruction process involves modifying the encoding set within the function F. Modification of relevant decision branch conditions. For example, when When including a security check area code whose capacity has been increased due to renovation and its associated flow line instance, The calculation logic corresponding to the passenger throughput of this area will be updated, and its expression can be reflected in specific parameters of function F. Adjustments: ,in 'g' is a parameter update function based on business context information. This refactoring ensures that the business process engine's projections of future states are based on the latest physical environment and business rules.

[0061] In this embodiment, the instance policy function re-evaluation process, based on the reconstructed state transition logic, recalculates the policy for all currently active business process instances to generate the optimal operational decision. The business process engine processes each instance... Maintain a policy function This function determines the optimal action for instance i based on the global state S, such as assigning gates for flights, dynamically planning routes for passenger flow, and assigning staff to ground handling tasks. The state transition equation is updated to... After that, the original strategy This may no longer be optimal due to changes in the environment. This processing driver applies to all [relevant data / processes]. The instance i associated with the encoding (i.e., satisfying) The policy function of the instance is re-evaluated, with the goal of finding new state evolution dynamics. The optimal strategy This is achieved by solving an optimization problem with business objectives (such as minimizing total delays and optimizing passenger experience). The specific solution process involves a given new state transition equation. and initial state Under the constraint of [condition], search and determine from all possible policy sets a policy that allows all possible state paths within an infinite future time range to pass through the discount factor. Weighted expected cumulative business revenue The optimal strategy that reaches the maximum value The function It refers to the state of a business process instance at a specific time t. A function mapped to a scalar return value, the design of which directly encodes business objectives; discount factor. As a constant between 0 and 1, it is used to adjust the weighting of future gains relative to current gains. The essence of this optimization process is to formulate an action plan for a business process instance that can systematically and proactively maximize its overall business value under current and expected future conditions.

[0062] It's important to note that the state transition equation reconstruction and instance policy function re-evaluation form a closed loop from "updating the environment model" to "re-planning decisions." The former ensures that the business process engine's understanding of the airport operating environment is up-to-date, while the latter, based on this latest understanding, generates optimal operational instructions that can be implemented. The two processing stages are closely integrated, enabling any changes in the physical space to be quickly and intelligently translated into precise adjustments to business operations.

[0063] The effective coded mapping set obtained in this implementation signifies that the complete chain from initial dynamic events to business decisions has been established. This set is not a static data snapshot, but an active component driving the dynamic evolution of the airport operations system. It enables a physical space renovation or equipment update event to automatically and in real time trigger a series of key business decisions, from flight schedule adjustments and passenger guidance route updates to the reallocation of ground handling resources. This ensures that the airport digital twin system is not only a mirror of the physical world, but also an intelligent hub that can proactively adapt to changes and optimize operations.

[0064] Based on the description of the above embodiments of the code mapping update method triggered by airport dynamic events, this application also discloses a code mapping update system triggered by airport dynamic events. This system can be a computer program (including program code) that runs the aforementioned code mapping update method triggered by airport dynamic events. Please see the appendix. Figure 2 As shown, the code mapping update system based on airport dynamic events can run the following units: The acquisition unit 110 is used to acquire data to be processed. The data to be processed includes dynamic event data, coding status data, attribute mapping data, and business process data. The dynamic event data is equipment replacement and space renovation maintenance event triggering information. The coding status data is the historical information of the status change of the entire life cycle of the coding element from creation and modification to retirement. The attribute mapping data is the current mapping relationship information between the attribute database and the 3D model coding. The business process data is airport business process rules and event-driven logic information. The event structuring processing unit 120 is used to perform event structuring transformation processing on the dynamic event data to obtain an event trigger signal set. The event structuring transformation processing generates standardized trigger signals through event attribute completion and semantic deconstruction. The state transition deduction unit 130 is used to perform state transition deduction processing on the event trigger signal set and the encoded state data to obtain the encoded state update set. The state transition deduction processing is based on the trigger signal to deduce the encoded state path and reconstruct the state dependency relationship. The spatial consistency maintenance unit 140 is used to perform spatial topology consistency maintenance processing on the encoding state update set and attribute mapping data to obtain a spatially synchronized encoding set. The spatial topology consistency maintenance processing is to recalculate spatial relationships and perform spatial attribute anchoring to maintain the consistency between encoding and space. The business process embedding unit 150 is used to perform business process embedding processing on the spatial synchronization encoding set and business process data to obtain an effective encoding mapping set. The business process embedding processing realizes the dynamic effectiveness of the encoding mapping in the business process through business context injection and process state synchronization.

[0065] The above description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the concept described herein through the above teachings or related technologies or knowledge. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A code mapping update method based on airport dynamic event triggering, characterized in that, The method includes the following steps: S1, Obtain data to be processed. The data to be processed includes dynamic event data, coding status data, attribute mapping data, and business process data. The dynamic event data is equipment replacement and space renovation maintenance event trigger information. The coding status data is the historical information of the full life cycle status change of the coding element from creation and modification to retirement. The attribute mapping data is the current mapping relationship information between the attribute database and the 3D model coding. The business process data is airport business process rules and event-driven logic information. S2, perform event structure transformation on the dynamic event data to obtain an event trigger signal set. The event structure transformation process generates standardized trigger signals by completing event attributes and deconstructing semantics. S3, perform state transition deduction processing on the event trigger signal set and the encoded state data to obtain the encoded state update set. The state transition deduction processing is based on the trigger signal to deduce the encoded state path and reconstruct the state dependency relationship. S4, perform spatial topology consistency maintenance processing on the encoded state update set and attribute mapping data to obtain a spatially synchronized encoded set. The spatial topology consistency maintenance processing involves recalculating spatial relationships and performing spatial attribute anchoring to maintain consistency between the encoding and the space. S5, perform business process embedding processing on the spatial synchronization encoding set and business process data to obtain an effective encoding mapping set. The business process embedding processing realizes the dynamic effectiveness of the encoding mapping in the business process through business context injection and process state synchronization.

2. The encoding mapping update method based on airport dynamic event triggering according to claim 1, characterized in that, Step S2 includes the following sub-steps: S201, perform event attribute completion processing on the dynamic event data to obtain a standardized event set. The event attribute completion processing is to add spatial positioning and business context attributes to the original events by associating spatial coordinate data with the business rule base. S202, perform event semantic deconstruction processing on the standardized event set to obtain an event trigger signal set. The event semantic deconstruction processing is to extract spatial topology change items and business function change items in the event and generate standardized trigger signals.

3. The encoding mapping update method based on airport dynamic event triggering according to claim 1, characterized in that, Step S3 includes the following sub-steps: S301, perform state impact analysis processing on the event trigger signal set to obtain a state change instruction set. The state impact analysis processing generates coded state transition paths based on spatial topology relationship change items and business function change items. S302, the state change instruction set and the encoded state data are subjected to state serialization deduction processing to obtain the encoded state update set. The state serialization deduction processing is to reconstruct the state dependency relationship between encoded elements and determine the state sequence.

4. A coding mapping update method based on airport dynamic event triggering according to any one of claims 1-3, characterized in that, Step S4 includes the following sub-steps: S401, the spatial relation recalculation process is performed on the encoded state update set to obtain the spatial topology update set. The spatial relation recalculation process is an iterative calculation of the spatial adjacency matrix and the hierarchical tree driven by the encoding state change. S402, Spatial attribute anchoring processing is performed on the spatial topology update set and attribute mapping data to obtain a spatial synchronization encoding set. The spatial attribute anchoring processing is to synchronize the updated spatial topology structure to the corresponding encoding record in the attribute database.

5. The encoding mapping update method based on airport dynamic event triggering according to claim 4, characterized in that, Step S5 includes the following sub-steps: S501, Perform business context injection processing on the spatial synchronization coding set to obtain a business context coding set. The business context injection processing dynamically associates the coding set with flight scheduling, passenger flow, and ground service business process instances. S502, perform process state synchronization processing on the business context encoding set and business process data to obtain an effective encoding mapping set. The process state synchronization processing involves constructing state transition equations in the business process engine and driving the re-evaluation of instance policy functions.

6. The encoding mapping update method based on airport dynamic event triggering according to claim 2, characterized in that, The event attribute completion process described in S201 involves associating spatial coordinate data with the business rule base to add spatial positioning and business context attributes to the original event, including spatial anchoring processing and business context injection processing. The event semantic deconstruction processing described in S202 involves extracting spatial topology relationship change items and business function change items from the event and generating standardized trigger signals, including spatial topology relationship parsing processing and business function intent parsing processing.

7. The encoding mapping update method based on airport dynamic event triggering according to claim 3, characterized in that, The state impact analysis processing described in S301 generates coded state transition paths based on spatial topology change items and business function change items, including state derivation processing of directly affected entities and state propagation analysis processing of associated entities; the state serialization deduction processing described in S302 reconstructs the state dependency relationships between coded elements and determines the state sequence, including state dependency relationship reconstruction processing and state serialization scheduling processing.

8. The encoding mapping update method based on airport dynamic event triggering according to claim 4, characterized in that, The spatial relationship recalculation process in S401 is an iterative calculation of the spatial adjacency matrix and the hierarchical tree driven by the change of the encoding state, including spatial adjacency relationship iterative processing and spatial inclusion relationship iterative processing. The spatial attribute anchoring process described in S402 involves synchronizing the updated spatial topology to the corresponding coded records in the attribute database, including batch update processing of attribute fields and synchronization processing of 3D coded references.

9. The encoding mapping update method based on airport dynamic event triggering according to claim 5, characterized in that, The business context injection process described in S501 involves dynamically associating the encoding set with flight scheduling, passenger flow, and ground service business process instances, including business process instance binding and context state inheritance. The process state synchronization processing described in S502 involves constructing state transition equations in the business process engine and driving the re-evaluation of instance policy functions, including state transition equation reconstruction processing and instance policy function re-evaluation processing.

10. A code mapping update system based on airport dynamic event triggering, characterized in that, The system includes: The acquisition unit is used to acquire data to be processed, which includes dynamic event data, coding status data, attribute mapping data, and business process data. The dynamic event data is equipment replacement and space renovation maintenance event triggering information. The coding status data is the historical information of the status change of the entire life cycle of the coding element from creation and modification to retirement. The attribute mapping data is the current mapping relationship information between the attribute database and the 3D model coding. The business process data is airport business process rules and event-driven logic information. An event structuring processing unit is used to perform event structuring transformation processing on the dynamic event data to obtain an event trigger signal set. The event structuring transformation processing generates standardized trigger signals through event attribute completion and semantic deconstruction. The state transition deduction unit is used to perform state transition deduction processing on the event trigger signal set and the encoded state data to obtain the encoded state update set. The state transition deduction processing is based on the trigger signal to deduce the encoded state path and reconstruct the state dependency relationship. The spatial consistency maintenance unit is used to perform spatial topology consistency maintenance processing on the encoded state update set and attribute mapping data to obtain a spatially synchronized encoded set. The spatial topology consistency maintenance processing involves recalculating spatial relationships and performing spatial attribute anchoring to maintain the consistency between the encoding and the space. The business process embedding unit is used to perform business process embedding processing on the spatial synchronization encoding set and business process data to obtain an effective encoding mapping set. The business process embedding processing realizes the dynamic effectiveness of the encoding mapping in the business process through business context injection and process state synchronization.

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