Method and related device for intelligent handling of ship trade chain association status

Abstract

The application provides a ship trade chain association state intelligent handling method and related device; the ship trade chain association state intelligent handling method is executed by a processor, and the method comprises the following steps: acquiring entity relationship graph data structure and state identifier data corresponding to a current ship trade order; if it is determined that the state conforms to a preset level state based on the state identifier data, then based on the entity relationship graph data structure, an association influence deduction analysis is performed to generate an association influence evaluation report; and according to the association influence evaluation report and a preset strategy knowledge base, a structured handling strategy is automatically matched and generated. The ship trade chain association state intelligent handling method can improve the accuracy and efficiency of ship trade chain business control, generate a complete business link from association state identification to handling strategy generation, and provide efficient and intelligent technical support for the whole-process management and control of the ship trade chain.

Description

Technical Field

[0001] This application relates to the field of ship trade technology, and more specifically, to a method and device for intelligent handling of the status of ship trade chain linkages. Background Technology

[0002] With the rapid development of digital management and compliance supervision of the shipping trade chain, trade chain risk analysis and handling have become core industry needs. Currently, related analysis and monitoring in the industry mostly adopt a single-dimensional data screening and independent monitoring model, which is prone to judgment bias; moreover, the related analysis results are scattered and difficult to support efficient full-process handling work, which can no longer meet the actual needs of global trade for efficient and accurate business management. Summary of the Invention

[0003] This application provides a method and related apparatus for intelligent handling of the associated status of a ship trade chain, which aims to at least improve the accuracy and efficiency of business management and control of the ship trade chain, generate a complete business link from the identification of associated status to the generation of handling strategies, and provide efficient and intelligent technical support for the full-process management and control of the ship trade chain.

[0004] In view of this, the first aspect of this application provides a method for intelligent handling of ship trade chain-related states, executed by a processor, the method comprising:

[0005] Obtain the entity relationship graph data structure and status identifier data corresponding to the current ship trade order; the entity relationship graph data structure includes node data representing each associated entity and edge data representing the relationship between each associated entity; the status identifier data is used to represent the association status level of the current ship trade order;

[0006] If the status is determined to meet the preset level based on the status identification data, then the correlation impact analysis is performed based on the entity relationship diagram data structure to generate a correlation impact assessment report.

[0007] Based on the associated impact assessment report and the preset strategy knowledge base, a structured disposal strategy is automatically matched and generated.

[0008] In the above technical solution, the ship trade order is the specific ship trade business document that triggers the intelligent handling process of the associated status. The entity relationship graph data structure is a structured data form used to present the relationships in the ship trade chain, consisting of node data representing each associated entity and edge data representing the relationships between entities. Node data is characteristic data representing each associated entity in the ship trade chain, including transport vessels, trade participants, and port entities. Edge data is characteristic data representing the relationships between the associated entities in the ship trade chain. Status identifier data is characteristic data representing the association status level of the ship trade order. The association status level is a classification identifier determined based on the matching result of the status representation parameters and the preset threshold range, used to intuitively present the association status; the status identifier data is the result data carrying the association status level and is the final presentation form of the association status. The preset level status is a pre-set association status level that needs to initiate the association impact analysis. For example, if the association status levels include low, medium, and high levels, the preset level status can be high, and only association statuses reaching the high level meet the preset level status. The correlation impact analysis is an operation conducted on ship trade orders that meet the preset status levels, based on an entity relationship graph data structure. The correlation impact assessment report is a standardized analysis result document generated after the correlation impact analysis. The preset strategy knowledge base is a database that pre-stores the rules for handling ship trade chain statuses and the logic for matching strategies. The structured handling strategy is an executable handling plan with a fixed logical framework, automatically generated based on the correlation impact assessment report and the preset strategy knowledge base.

[0009] In the above technical solution, the entity relationship diagram data structure and status identifier data corresponding to ship trade orders are acquired, and multi-dimensional information such as the related entities, relationships, and status levels of the ship trade chain are comprehensively integrated to improve the accuracy of the status judgment. Based on the status identifier data, it is determined whether the order meets the preset status level, and the orders that need to be dealt with are accurately screened to improve the overall efficiency of analysis and disposal. For orders that meet the preset status level, the association impact inference analysis is performed based on the entity relationship diagram data structure and an association impact assessment report is generated. The multi-dimensional analysis results are integrated into a systematic and comprehensive standardized document to provide strong support for subsequent efficient disposal. Based on the association impact assessment report and the preset strategy knowledge base, a structured disposal strategy is automatically matched and generated to build a complete link from data acquisition and status determination to impact analysis and disposal generation, thereby improving the pertinence and overall execution efficiency of the disposal of the ship trade chain association status.

[0010] Optionally, in some technical solutions of this application, the edge data includes at least one attribute data, which includes:

[0011] Behavioral attribute data is used to characterize the types of interactions between related entities;

[0012] Time attribute data is used to represent the time information corresponding to the interactive behavior;

[0013] Location attribute data is used to characterize the spatial location information corresponding to interactive behaviors.

[0014] In the above technical solution, behavioral attribute data is the core information that characterizes the interaction type of the associated subjects, clearly recording the specific type of interaction action, which is the key to distinguishing the nature of different association relationships; time attribute data is information that records the specific time when the interaction occurs, including actual sailing time, cargo loading and unloading time, port berthing time, etc., used to reconstruct the time node of the interaction; location attribute data is information that records the spatial location where the interaction occurs, including port name, latitude and longitude coordinates, route segment identification, etc., used to locate the specific scenario of the interaction.

[0015] In the above technical solution, behavioral attribute data clarifies the association type, time attribute data locks the interaction node, and location attribute data locates the spatial scene. The three types of attribute data complement and corroborate each other, transforming the interaction relationship between the associated entities from an abstract association into a concrete association with specific business scenarios, time nodes, and spatial locations. Compared with the method of only recording a single association relationship, it can more comprehensively restore the business flow logic in the trade chain, providing detailed semantic support for accurate feature extraction and association strength analysis in the subsequent graph calculation process, and further improving the comprehensiveness and accuracy of association status determination.

[0016] Optionally, in some technical solutions of this application, based on the entity relationship graph data structure, a correlation impact inference analysis is performed to generate a correlation impact assessment report, including:

[0017] In the entity relationship graph data structure, node data whose location status identification data meets the preset level status is regarded as abnormal node;

[0018] Starting from the abnormal node, a graph traversal algorithm is used to determine the transmission path of the associated influence and the set of affected related entities;

[0019] Based on the node attribute data of each subject in the affected associated subject set in the entity relationship graph data structure, the potential impact consequences of each subject in the affected associated subject set are quantitatively assessed.

[0020] Based on the transmission path of related impacts, the set of affected related entities, and the potential consequences, a related impact assessment report is generated.

[0021] In the above technical solution, an abnormal node is a node in the entity relationship graph data structure whose status identifier data meets a preset level, corresponding to an abnormal state of the associated entity in the shipping trade chain. Graph traversal algorithms are used to traverse the entity relationship graph data structure and mine the relationship paths between nodes, used to sort out the relationships between abnormal nodes and other nodes, such as depth-first search and breadth-first search algorithms, which are commonly used algorithms in this field. The correlation impact transmission path is the path of transmission of the impact caused by the abnormal node among the associated entities in the shipping trade chain. The set of affected associated entities is the set of all shipping trade chain associated entities affected by the abnormal node. Node attribute data is the basic attribute and business attribute information contained in the node data corresponding to each associated entity in the entity relationship graph data structure. Potential impact consequences are the business impact results that the abnormal node may cause to each entity in the set of affected associated entities. Integration and generation is the operation of integrating the correlation impact transmission path, the set of affected associated entities, and the potential impact consequences to form a correlation impact assessment report.

[0022] In the above technical solution, locating abnormal nodes in the entity relationship graph data structure can quickly pinpoint the core related entities in the shipping trade chain with abnormal status, clarifying the key targets for handling. Starting from the abnormal node, the graph traversal algorithm determines the transmission path of the associated impact and the set of affected related entities, systematically sorting out the transmission path and scope of the abnormal impact, and comprehensively grasping the degree of impact of the abnormal status. Based on the node attribute data of each entity in the set of affected related entities, the potential impact consequences are quantitatively assessed, which can accurately determine the specific impact of the abnormal status on each related entity, improving the accuracy of impact analysis. The associated impact assessment report is generated by integrating the transmission path of the associated impact, the set of affected related entities, and the potential impact consequences, which can provide detailed and comprehensive analytical basis for the subsequent generation of structured handling strategies, ensuring the rationality of the handling strategies.

[0023] Optionally, in some technical solutions of this application, a structured disposal strategy is automatically matched and generated based on the related impact assessment report and a preset strategy knowledge base, including:

[0024] Analyze the impact assessment report and extract the influencing factors;

[0025] Based on the influencing factors, the corresponding set of status handling rules is matched in the preset strategy knowledge base;

[0026] Based on the real-time dynamic data of current ship trade orders, the parameters of the status handling rule set are adapted.

[0027] Based on the adaptation results, a structured response strategy is generated, which includes specific actions, implementation plans, and impact assessments.

[0028] In the aforementioned technical solution, the influencing factors are core characteristic data directly related to the impact on the shipping trade chain, extracted from the associated impact assessment report, and serve as the key basis for matching disposal rules. The status disposal rule set is a collection of specific disposal rules from a pre-set strategy knowledge base that match the influencing factors. Real-time dynamic data refers to continuously updated business operation data during the execution of shipping trade orders, including vessel location, navigation status, port time, loading / unloading progress, cargo status, document status, and financial status. Parameter adaptation involves targeted adjustments and optimizations to the status disposal rule set based on the real-time dynamic data of shipping trade orders. Specific disposal actions are the concrete, executable operational instructions included in the structured disposal strategy. The implementation plan is a detailed planning scheme supporting the implementation of specific disposal actions. Impact assessment is a predictive analysis of the actual effects and potential risks that may arise after the implementation of the structured disposal strategy.

[0029] In the aforementioned technical solution, analyzing the impact assessment report and extracting influencing factors can accurately capture the core characteristics of the impact on the shipping trade chain, providing crucial support for subsequent matching and handling rules. Matching the corresponding status handling rule set in the preset strategy knowledge base based on the influencing factors ensures a high degree of adaptation between the handling rules and the order's impact, enhancing the rules' relevance. Adapting the status handling rule set to parameters based on real-time dynamic data of shipping trade orders allows the rules to align with the actual business status of the orders, enhancing their practicality. Generating a structured handling strategy based on the adaptation results, including specific handling actions, implementation plans, and impact assessments, clarifies the specific procedures and expected effects of the handling work, ensuring that the structured handling strategy meets the actual handling needs of the shipping trade chain and improving the operability of the handling work.

[0030] Optionally, in some technical solutions of this application, after automatically matching and generating a structured processing strategy, the method further includes:

[0031] Send the structured processing strategy to the user's terminal;

[0032] In response to user feedback on structured processing strategies, execute corresponding business processing operations;

[0033] The decision feedback information is entered into a preset strategy knowledge base for iterative optimization of the strategy matching logic.

[0034] In the above technical solution, the user terminal is a terminal device that receives structured processing strategies and enables relevant operators to carry out decision-making operations. Decision feedback information is specific decision-related information provided by operators through the user terminal regarding the structured processing strategies. Business processing operations are specific ship trade chain business processing operations executed based on the decision feedback information for the corresponding ship trade orders. Input is the operation of completely storing the decision feedback information into a preset strategy knowledge base. Iterative optimization of the strategy matching logic is the operation of adjusting and optimizing the original strategy matching logic in the preset strategy knowledge base based on the input decision feedback information.

[0035] In the above technical solution, sending the structured disposal strategy to the user terminal allows relevant operators to obtain the complete disposal plan in a timely manner, quickly carry out decision-making operations, and improve the response efficiency of disposal work. Responding to the decision feedback information from the user terminal and executing the corresponding business processing operations can achieve seamless connection from strategy generation to business execution, ensuring that the disposal strategy is quickly implemented. Entering the decision feedback information into the preset strategy knowledge base and using iterative optimization of strategy matching logic allows the preset strategy knowledge base to continuously adapt to actual business needs, making the subsequently generated structured disposal strategies more in line with the actual disposal scenarios of the ship trade chain, forming a complete closed loop of disposal strategy generation, execution, feedback, and optimization, and continuously improving the quality of disposal.

[0036] Optionally, in some technical solutions of this application, the entity relationship diagram data structure and status identifier data corresponding to the current ship trade order are obtained, including:

[0037] Send a request to the independent status assessment data interface, the request containing the identification information of the current ship trade order;

[0038] Receive and parse the response data returned by the status assessment data interface;

[0039] Extract status identifier data from the response data, as well as node and edge data for constructing the entity relationship graph data structure.

[0040] In the above technical solution, the status assessment data interface is a dedicated data interface for obtaining data related to ship trade orders, serving as the data transmission channel connecting the data source and this processing system. A request is an instruction sent to the status assessment data interface to retrieve data related to a specified ship trade order. Identification information is unique characteristic information used to uniquely identify a specific ship trade order. Response data is the raw data related to the specified ship trade order returned by the status assessment data interface after receiving the request. Parsing involves organizing and filtering the response data, extracting valid information, and removing invalid information. Extraction involves obtaining status identification data and node and edge data used to construct the entity relationship graph data structure from the parsed response data.

[0041] In the above technical solution, sending a request containing ship trade order identification information to the status assessment data interface can accurately retrieve relevant data for a specified ship trade order, avoiding data mismatch and ensuring the accuracy of data acquisition. Receiving and parsing the response data returned by the status assessment data interface allows for filtering and processing of the raw data, extracting valid information, and reducing interference from invalid data. Extracting status identification data and node and edge data for constructing the entity relationship graph data structure from the response data enables the rapid acquisition of core data required for subsequent correlation impact analysis and the generation of structured disposal strategies, laying a solid and high-quality data foundation for the entire disposal process and improving the efficiency of disposal work. Simultaneously, as a dedicated data transmission channel, the status assessment data interface's independence ensures the security and independence of data acquisition, preventing interference or leakage during data transmission.

[0042] Optionally, in some technical solutions of this application, a correlation impact analysis is performed, including:

[0043] A call request is sent to the simulation analysis service through the first microservice interface to trigger and obtain the related impact assessment report;

[0044] Automatically match and generate structured handling strategies, including:

[0045] A call request is sent to the policy generation service through the second microservice interface. The call request carries the associated impact assessment report to trigger and obtain the structured treatment policy.

[0046] In this process, requests to the simulation analysis service and the strategy generation service are routed and forwarded through a unified interface gateway.

[0047] In the above technical solution, the first microservice interface is a dedicated microservice interface for calling the inference and analysis service, serving as a dedicated channel connecting the system and the inference and analysis service. The inference and analysis service is an independent functional service module whose core function is to perform correlation impact inference and analysis and generate a correlation impact assessment report. The call request is an instruction sent to the microservice interface to invoke the corresponding functional service module. The second microservice interface is a dedicated microservice interface for calling the policy generation service, serving as a dedicated channel connecting the system and the policy generation service. The policy generation service is an independent functional service module whose core function is to generate structured disposal policies based on the correlation impact assessment report and a preset policy knowledge base. The interface gateway is the core module that uniformly manages and routes call requests between the inference and analysis service and the policy generation service. Routing and forwarding is the operation by which the interface gateway accurately forwards call requests to the corresponding functional service module according to preset rules.

[0048] In the above technical solution, sending a call request to the simulation analysis service through the first microservice interface can effectively trigger the simulation analysis service to perform correlation impact simulation analysis, thereby obtaining the correlation impact assessment report and ensuring the orderly progress of the impact analysis stage. Sending a call request carrying the correlation impact assessment report to the strategy generation service through the second microservice interface can provide the strategy generation service with complete analysis basis and ensure the smooth generation of structured disposal strategies. Routing and forwarding the call requests of the simulation analysis service and the strategy generation service through the interface gateway can realize centralized management and accurate forwarding of call requests of different functional service modules, avoid call confusion, effectively improve the efficiency and standardization of service calls, and ensure the smooth execution of the disposal process.

[0049] For example, setting up a dedicated call permission verification mechanism for the first and second microservice interfaces allows only authorized entities to initiate service call requests, effectively preventing unauthorized access and ensuring the security of service calls. For example, setting up timeout reminders and automatic retry mechanisms for call requests of the inference analysis service and strategy generation service automatically triggers retry operations when a call request times out or temporarily fails, significantly improving the success rate of service calls and avoiding interruptions in the processing flow due to temporary failures.

[0050] For example, the interface gateway performs real-time traffic monitoring and rate limiting on various service call requests. When the request traffic reaches a preset threshold, it automatically limits new requests to avoid high-concurrency requests consuming too many system resources and to ensure the overall stability of the system.

[0051] Optionally, in some technical solutions of this application, the method may also include:

[0052] The interface gateway receives integration requests from external business systems for specific processing steps.

[0053] In response to integration requests, the corresponding data access interface is provided to external business systems through the interface gateway;

[0054] Among them, the data access interface is at least used to provide status identification data or related impact assessment reports.

[0055] In the above technical solution, the external business system is an external trade business management system that has data interaction and functional integration requirements with the intelligent handling system for the status of ship trade chains. An integration request is an instruction sent by the external business system to the interface gateway, requesting the integration of relevant data from a specific handling stage of the ship trade chain. The data access interface is a dedicated interface provided by the interface gateway to the external business system for obtaining specified ship trade chain handling data.

[0056] In the above technical solution, receiving integration requests from external business systems through the interface gateway enables efficient reception of connection requests between external business systems and this system, ensuring smooth cross-system integration. Responding to integration requests, the interface gateway provides corresponding data access interfaces to external business systems, allowing them to accurately obtain the required status identification data or associated impact assessment reports. This effectively enables cross-system sharing of core data related to the handling of ship trade chain-related statuses, breaking down data silos. Simultaneously, it achieves efficient integration between this system and external business systems, improving the efficiency of multi-system collaborative management and adapting to the business needs of multi-system collaboration in ship trade.

[0057] For example, fine-grained data access scope restrictions are set for data access interfaces provided to external business systems, allowing only authorized business data to be accessed to ensure the security of core business data; full-process auditing and traceability are implemented for external integration requests to facilitate subsequent traceability and verification; and standardized interface development documentation and debugging tools are provided to lower the threshold for external system integration and improve integration efficiency.

[0058] For example, based on the microservice interface call and unified interface gateway routing design adopted in the above method, the intelligent handling system for ship trade chain related status corresponding to this application can be deployed using microservice APIs (Application Programming Interfaces) and an open architecture. This system encapsulates core functions such as related impact analysis and structured handling strategy generation into independent analysis services and strategy generation services, respectively. Standardized service call capabilities are provided externally through first and second microservice interfaces corresponding to each service. All service call requests are centrally routed and managed through a unified interface gateway. Simultaneously, the interface gateway enables unified reception and response to integration requests from external business systems, thus forming an open system architecture. Under this architecture deployment mode, the system can support SaaS (Software as a Service). The dual approach of full-process application and on-demand API integration allows users to complete full-process business operations on a visual platform integrating all functions. It also supports various users and external business systems to call only the APIs corresponding to the required functional modules according to their actual business needs, without needing to integrate the entire system. This not only eliminates the development, deployment, and usage costs of the entire system for small and medium-sized customers, significantly lowering the barrier to entry, but also allows large enterprises to quickly embed the core processing capabilities of this system into their IT (Information Technology) architecture, achieving efficient integration with their own systems. Furthermore, standardized APIs and unified gateway management reduce the development costs of interfacing with external systems, improve integration and adaptation efficiency, and achieve low-cost deployment, flexible use, and good ecosystem integration. The second aspect of this application provides an intelligent processing device for the status of ship trade chain associations, including:

[0059] The acquisition module is used to acquire the entity relationship graph data structure and status identifier data corresponding to the current ship trade order; the entity relationship graph data structure includes node data representing each associated entity and edge data representing the relationship between each associated entity; the status identifier data is used to represent the association status level of the current ship trade order;

[0060] The analysis module is used to perform correlation impact analysis and generate a correlation impact assessment report based on the entity relationship diagram data structure if the status is determined to meet the preset level based on the status identification data.

[0061] The generation module is used to automatically match and generate structured disposal strategies based on the associated impact assessment report and the preset strategy knowledge base.

[0062] In the above technical solution, the entity relationship diagram data structure and status identifier data corresponding to ship trade orders are acquired, and multi-dimensional information such as the related entities, relationships, and status levels of the ship trade chain are comprehensively integrated to improve the accuracy of the status judgment. Based on the status identifier data, it is determined whether the order meets the preset status level, and the orders that need to be dealt with are accurately screened to improve the overall efficiency of analysis and disposal. For orders that meet the preset status level, the association impact inference analysis is performed based on the entity relationship diagram data structure and an association impact assessment report is generated. The multi-dimensional analysis results are integrated into a systematic and comprehensive standardized document to provide strong support for subsequent efficient disposal. Based on the association impact assessment report and the preset strategy knowledge base, a structured disposal strategy is automatically matched and generated to build a complete link from data acquisition and status determination to impact analysis and disposal generation, thereby improving the pertinence and overall execution efficiency of the disposal of the ship trade chain association status.

[0063] Optionally, in some technical solutions of this application, the intelligent handling device for ship trade chain related status further includes an interaction module; the interaction module works in conjunction with the acquisition module, analysis module, and generation module to receive integration requests from external business systems for specific handling stages through an interface gateway; in response to the integration request, it provides corresponding data access interfaces to external business systems through the interface gateway; wherein, the data access interface is at least used to provide status identification data or related impact assessment reports.

[0064] The third aspect of this application provides an intelligent handling device for the status of ship trade chain association, comprising: a memory for storing programs or instructions; and a processor for executing programs or instructions to implement the steps of the intelligent handling method for the status of ship trade chain association provided in any of the above technical solutions, thus achieving all the same technical effects. To avoid repetition, it will not be described in detail here.

[0065] The fourth aspect of this application provides a readable storage medium storing a program or instructions that, when executed by a processor, implement the steps of the intelligent handling method for ship trade chain-related status as provided in any of the above technical solutions, thus achieving all the same technical effects. To avoid repetition, further details are omitted here.

[0066] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0067] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0068] Figure 1A flowchart illustrating the intelligent handling method for ship trade chain-related status provided in this application embodiment;

[0069] Figure 2 A schematic diagram of the intelligent handling process for the ship trade chain-related status provided in the embodiments of this application;

[0070] Figure 3 A structural block diagram of a smart device for handling the status of ship trade chain associations provided in this application embodiment;

[0071] Figure 4 This is a structural block diagram of an intelligent handling device for the associated status of a ship trade chain, provided in an embodiment of this application. Detailed Implementation

[0072] To better understand the above-mentioned objectives, features, and advantages of this application, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0073] Many specific details are set forth in the following description in order to provide a full understanding of this application. However, this application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of this application is not limited to the specific embodiments disclosed below.

[0074] The following reference Figures 1 to 4 This application describes a method and related apparatus for intelligent handling of ship trade chain association status according to some embodiments.

[0075] like Figure 1 As shown, the first aspect of this application provides a method for intelligent handling of ship trade chain-related states, executed by a processor, the method comprising:

[0076] S100: Obtain the entity relationship graph data structure and status identifier data corresponding to the current ship trade order; the entity relationship graph data structure includes node data representing each associated entity and edge data representing the relationship between each associated entity; the status identifier data is used to represent the association status level of the current ship trade order;

[0077] S120: If the status is determined to meet the preset level based on the status identification data, then based on the entity relationship diagram data structure, perform the correlation impact deduction analysis and generate the correlation impact assessment report.

[0078] S140: Based on the associated impact assessment report and the preset strategy knowledge base, automatically match and generate structured disposal strategies.

[0079] In the above embodiments, the ship trade order is the specific ship trade business document that triggers the intelligent handling process of the associated status. The entity relationship graph data structure is a structured data form used to present the relationships in the ship trade chain, consisting of node data representing each associated entity and edge data representing the relationships between entities. Node data is characteristic data representing each associated entity in the ship trade chain, including transport vessels, trade participants, and port entities. Edge data is characteristic data representing the relationships between the associated entities in the ship trade chain. Status identifier data is characteristic data representing the association status level of the ship trade order. The association status level is a classification identifier determined based on the matching result of the status representation parameters and the preset threshold range, used to intuitively present the association status; the status identifier data is the result data carrying the association status level and is the final presentation form of the association status. The preset level status is a pre-set association status level that needs to initiate the association impact analysis. For example, if the association status levels include low, medium, and high levels, the preset level status can be high, and only association statuses reaching the high level meet the preset level status. The correlation impact analysis is an operation conducted on ship trade orders that meet the preset status levels, based on an entity relationship graph data structure. The correlation impact assessment report is a standardized analysis result document generated after the correlation impact analysis. The preset strategy knowledge base is a database that pre-stores the rules for handling ship trade chain statuses and the logic for matching strategies. The structured handling strategy is an executable handling plan with a fixed logical framework, automatically generated based on the correlation impact assessment report and the preset strategy knowledge base.

[0080] In the above embodiments, entity relationship diagram data structure and status identifier data corresponding to ship trade orders are acquired, comprehensively integrating multi-dimensional information such as associated entities, relationships, and status levels of the ship trade chain to improve the accuracy of association status judgment; based on the status identifier data, it is determined whether the order meets the preset status level, accurately screening orders that need to be handled, improving the overall efficiency of analysis and handling; for orders that meet the preset status level, association impact deduction analysis is performed based on the entity relationship diagram data structure and an association impact assessment report is generated, integrating the multi-dimensional analysis results into a systematic and comprehensive standardized document, providing strong support for subsequent efficient handling; based on the association impact assessment report and the preset strategy knowledge base, a structured handling strategy is automatically matched and generated, constructing a complete link from data acquisition, status determination to impact analysis and handling generation, improving the targeting and overall execution efficiency of ship trade chain association status handling.

[0081] In some embodiments of this application, optionally, the edge data includes at least one attribute data, the attribute data including:

[0082] Behavioral attribute data is used to characterize the types of interactions between related entities;

[0083] Time attribute data is used to represent the time information corresponding to the interactive behavior;

[0084] Location attribute data is used to characterize the spatial location information corresponding to interactive behaviors.

[0085] In the above embodiments, behavioral attribute data is the core information that characterizes the interaction type of the associated subjects, clearly recording the specific type of interaction action, which is the key to distinguishing the nature of different association relationships; time attribute data is information that records the specific time when the interaction occurs, including actual sailing time, cargo loading and unloading time, port berthing time, etc., used to reconstruct the time node of the interaction; location attribute data is information that records the spatial location where the interaction occurs, including port name, latitude and longitude coordinates, route segment identification, etc., used to locate the specific scenario of the interaction.

[0086] In the above embodiments, behavioral attribute data clarifies the association type, time attribute data locks the interaction node, and location attribute data locates the spatial scene. The three types of attribute data complement and corroborate each other, transforming the interaction relationship between the associated entities from an abstract association into a concrete association with specific business scenarios, time nodes, and spatial locations. Compared with the method of recording only a single association relationship, it can more comprehensively restore the business flow logic in the trade chain, providing detailed semantic support for accurate feature extraction and association strength analysis in the subsequent graph calculation process, and further improving the comprehensiveness and accuracy of association status determination.

[0087] Optionally, in some embodiments of this application, based on the entity relationship graph data structure, a correlation impact inference analysis is performed to generate a correlation impact assessment report, including:

[0088] In the entity relationship graph data structure, node data whose location status identification data meets the preset level status is regarded as abnormal node;

[0089] Starting from the abnormal node, a graph traversal algorithm is used to determine the transmission path of the associated influence and the set of affected related entities;

[0090] Based on the node attribute data of each subject in the affected associated subject set in the entity relationship graph data structure, the potential impact consequences of each subject in the affected associated subject set are quantitatively assessed.

[0091] Based on the transmission path of related impacts, the set of affected related entities, and the potential consequences, a related impact assessment report is generated.

[0092] In the above embodiments, an abnormal node is node data in the entity relationship graph data structure whose status identification data meets a preset level of status, corresponding to an abnormal associated entity in the shipping trade chain. Graph traversal algorithms are algorithms used to traverse the entity relationship graph data structure and mine the association paths between nodes, used to sort out the association relationships between abnormal nodes and other nodes, such as depth-first search algorithms, breadth-first search algorithms, and other commonly used algorithms in the field. The association impact transmission path is the transmission path of the impact caused by the abnormal node among the associated entities in the shipping trade chain. The set of affected associated entities is the set of all shipping trade chain associated entities affected by the abnormal node. Node attribute data is the basic attribute and business attribute information contained in the node data corresponding to each associated entity in the entity relationship graph data structure. Potential impact consequences are the business impact results that the abnormal node may cause to each entity in the set of affected associated entities. Integration and generation is the operation of integrating the association impact transmission path, the set of affected associated entities, and the potential impact consequences to form an association impact assessment report.

[0093] In the above embodiments, locating abnormal nodes in the entity relationship graph data structure can quickly pinpoint the core related entities in the shipping trade chain with abnormal status, clarifying the key targets for handling. Starting from the abnormal node, the graph traversal algorithm determines the transmission path of the associated impact and the set of affected related entities, systematically sorting out the transmission path and scope of the abnormal impact, and comprehensively grasping the degree of impact of the abnormal status. Based on the node attribute data of each entity in the set of affected related entities, the potential impact consequences are quantitatively assessed, which can accurately determine the specific impact of the abnormal status on each related entity, improving the accuracy of impact analysis. The associated impact assessment report is generated by integrating the transmission path of the associated impact, the set of affected related entities, and the potential impact consequences, which can provide detailed and comprehensive analytical basis for the subsequent generation of structured handling strategies, ensuring the rationality of the handling strategies.

[0094] In some embodiments of this application, optionally, a structured treatment strategy is automatically matched and generated based on the associated impact assessment report and a preset strategy knowledge base, including:

[0095] Analyze the impact assessment report and extract the influencing factors;

[0096] Based on the influencing factors, the corresponding set of status handling rules is matched in the preset strategy knowledge base;

[0097] Based on the real-time dynamic data of current ship trade orders, the parameters of the status handling rule set are adapted.

[0098] Based on the adaptation results, a structured response strategy is generated, which includes specific actions, implementation plans, and impact assessments.

[0099] In the above embodiments, the influencing factors are core characteristic data directly related to the impact of the shipping trade chain, extracted from the associated impact assessment report, and serve as the key basis for matching disposal rules. The status disposal rule set is a collection of specific disposal rules matching the influencing factors from a pre-set strategy knowledge base. Real-time dynamic data refers to continuously updated business operation data during the execution of shipping trade orders, including vessel location, navigation status, port time, loading / unloading progress, cargo status, document status, and financial status. Parameter adaptation involves targeted adjustments and optimizations to the status disposal rule set based on the real-time dynamic data of shipping trade orders. Specific disposal actions are the concrete, executable operational instructions included in the structured disposal strategy. The implementation plan is a detailed planning scheme supporting the implementation of specific disposal actions. Impact assessment is a predictive analysis of the actual effects and potential risks that may arise after the implementation of the structured disposal strategy.

[0100] In the above embodiments, parsing the impact assessment report and extracting the influencing factors can accurately capture the core characteristics of the impact of ship trade chain associations, providing key support for subsequent matching and handling rules. Matching the corresponding status handling rule set in the preset strategy knowledge base based on the influencing factors ensures that the handling rules are highly adapted to the order association impact, improving the targeting of the handling rules. Adapting the parameters of the status handling rule set according to the real-time dynamic data of ship trade orders allows the handling rules to fit the actual business status of the orders, enhancing the practicality of the handling rules. Generating a structured handling strategy containing specific handling actions, implementation plans, and impact assessments based on the adaptation results clarifies the specific process and expected effects of the handling work, ensuring that the structured handling strategy fits the actual handling needs of the ship trade chain, and improving the operability of the handling work.

[0101] Optionally, in some embodiments of this application, after automatically matching and generating a structured handling strategy, the method further includes:

[0102] Send the structured processing strategy to the user's terminal;

[0103] In response to user feedback on structured processing strategies, execute corresponding business processing operations;

[0104] The decision feedback information is entered into a preset strategy knowledge base for iterative optimization of the strategy matching logic.

[0105] In the above embodiments, the user terminal is a terminal device that receives structured processing strategies and enables relevant operators to perform decision-making operations. Decision feedback information is specific decision-related information provided by operators through the user terminal regarding the structured processing strategies. Business processing operations are specific ship trade chain business processing operations executed based on the decision feedback information for the corresponding ship trade order. Input is the operation of completely storing the decision feedback information into a preset strategy knowledge base. Iterative optimization of the strategy matching logic is the operation of adjusting and optimizing the original strategy matching logic in the preset strategy knowledge base based on the input decision feedback information.

[0106] In the above embodiments, sending the structured disposal strategy to the user terminal allows relevant operators to obtain the complete disposal plan in a timely manner, quickly carry out decision-making operations, and improve the response efficiency of disposal work; responding to the decision feedback information from the user terminal and executing the corresponding business processing operations can achieve seamless connection from strategy generation to business execution, ensuring that the disposal strategy is quickly implemented; inputting the decision feedback information into the preset strategy knowledge base and using iterative optimization of strategy matching logic allows the preset strategy knowledge base to continuously adapt to actual business needs, making the subsequently generated structured disposal strategies more in line with the actual disposal scenarios of the ship trade chain, forming a complete closed loop of disposal strategy generation, execution, feedback, and optimization, and continuously improving the quality of disposal.

[0107] In some embodiments of this application, optionally, the entity relationship graph data structure and status identifier data corresponding to the current ship trade order are obtained, including:

[0108] Send a request to the independent status assessment data interface, the request containing the identification information of the current ship trade order;

[0109] Receive and parse the response data returned by the status assessment data interface;

[0110] Extract status identifier data from the response data, as well as node and edge data for constructing the entity relationship graph data structure.

[0111] In the above embodiments, the status assessment data interface is a dedicated data interface for obtaining data related to ship trade orders, serving as a data transmission channel connecting the data source and this processing system. A request is an instruction sent to the status assessment data interface to retrieve data related to a specified ship trade order. Identification information is unique characteristic information used to uniquely identify a specific ship trade order. Response data is the raw data related to the specified ship trade order returned by the status assessment data interface after receiving the request. Parsing involves organizing and filtering the response data, extracting valid information, and removing invalid information. Extraction involves obtaining status identification data and node and edge data used to construct the entity relationship graph data structure from the parsed response data.

[0112] In the above embodiments, sending a request containing ship trade order identification information to the status assessment data interface can accurately retrieve relevant data for a specified ship trade order, avoiding data mismatch and ensuring the accuracy of data acquisition. Receiving and parsing the response data returned by the status assessment data interface allows for filtering and processing of the raw data, extracting valid information, and reducing interference from invalid data. Extracting status identification data and node and edge data for constructing the entity relationship graph data structure from the response data enables the rapid acquisition of core data required for subsequent correlation impact analysis and structured disposal strategy generation, laying a solid and high-quality data foundation for the entire disposal process and improving the efficiency of disposal work. Simultaneously, as a dedicated data transmission channel, the status assessment data interface's independence ensures the security and independence of data acquisition, preventing interference or leakage during data transmission.

[0113] Optionally, in some embodiments of this application, a correlation impact analysis is performed, including:

[0114] A call request is sent to the simulation analysis service through the first microservice interface to trigger and obtain the related impact assessment report;

[0115] Automatically match and generate structured handling strategies, including:

[0116] A call request is sent to the policy generation service through the second microservice interface. The call request carries the associated impact assessment report to trigger and obtain the structured treatment policy.

[0117] In this process, requests to the simulation analysis service and the strategy generation service are routed and forwarded through a unified interface gateway.

[0118] In the above embodiments, the first microservice interface is a dedicated microservice interface for calling the inference and analysis service, serving as a dedicated channel connecting the system and the inference and analysis service. The inference and analysis service is an independent functional service module whose core function is to perform correlation impact inference and analysis and generate a correlation impact assessment report. The call request is an instruction sent to the microservice interface to invoke the corresponding functional service module. The second microservice interface is a dedicated microservice interface for calling the policy generation service, serving as a dedicated channel connecting the system and the policy generation service. The policy generation service is an independent functional service module whose core function is to generate structured disposal policies based on the correlation impact assessment report and a preset policy knowledge base. The interface gateway is the core module that uniformly manages and routes call requests from the inference and analysis service and the policy generation service. Routing and forwarding is the operation by which the interface gateway accurately forwards call requests to the corresponding functional service module according to preset rules.

[0119] In the above embodiments, sending a call request to the simulation analysis service through the first microservice interface can effectively trigger the simulation analysis service to perform correlation impact simulation analysis, thereby obtaining the correlation impact assessment report and ensuring the orderly progress of the impact analysis stage; sending a call request carrying the correlation impact assessment report to the strategy generation service through the second microservice interface can provide the strategy generation service with complete analysis basis and ensure the smooth generation of structured disposal strategies; routing and forwarding the call requests of the simulation analysis service and the strategy generation service through the interface gateway can realize centralized management and accurate forwarding of call requests of different functional service modules, avoid call confusion, effectively improve the efficiency and standardization of service calls, and ensure the smooth execution of the disposal process.

[0120] For example, setting up a dedicated call permission verification mechanism for the first and second microservice interfaces allows only authorized entities to initiate service call requests, effectively preventing unauthorized access and ensuring the security of service calls. For example, setting up timeout reminders and automatic retry mechanisms for call requests of the inference analysis service and strategy generation service automatically triggers retry operations when a call request times out or temporarily fails, significantly improving the success rate of service calls and avoiding interruptions in the processing flow due to temporary failures.

[0121] For example, the interface gateway performs real-time traffic monitoring and rate limiting on various service call requests. When the request traffic reaches a preset threshold, it automatically limits new requests to avoid high-concurrency requests consuming too many system resources and to ensure the overall stability of the system.

[0122] Optionally, in some embodiments of this application, the method further includes:

[0123] The interface gateway receives integration requests from external business systems for specific processing steps.

[0124] In response to integration requests, the corresponding data access interface is provided to external business systems through the interface gateway;

[0125] Among them, the data access interface is at least used to provide status identification data or related impact assessment reports.

[0126] In the above embodiments, the external business system is an external trade business management system that has data interaction and functional integration requirements with the intelligent handling system for the status of ship trade chains. An integration request is an instruction sent by the external business system to the interface gateway, requesting the integration of data related to a specific handling stage of the ship trade chain. The data access interface is a dedicated interface provided by the interface gateway to the external business system for obtaining specified ship trade chain handling data.

[0127] In the above embodiments, receiving integration requests from external business systems through the interface gateway enables efficient reception of connection requests between external business systems and this system, ensuring smooth cross-system connection. Responding to integration requests, the interface gateway provides corresponding data access interfaces to external business systems, allowing them to accurately obtain the required status identification data or associated impact assessment reports. This effectively enables cross-system sharing of core data related to the handling of ship trade chain-related statuses, breaking down data silos. Simultaneously, it achieves efficient integration between this system and external business systems, improving the efficiency of multi-system collaborative management and adapting to the business needs of multi-system collaboration in ship trade.

[0128] For example, fine-grained data access scope restrictions are set for data access interfaces provided to external business systems, allowing only authorized business data to be accessed to ensure the security of core business data; full-process auditing and traceability are implemented for external integration requests to facilitate subsequent traceability and verification; and standardized interface development documentation and debugging tools are provided to lower the threshold for external system integration and improve integration efficiency.

[0129] For example, such as Figure 2As shown, the process of the intelligent handling method for the associated status of the ship trade chain is as follows: S10: Triggering the current ship trade order; Taking the specific ship trade business document as the starting point of the process, triggering the intelligent handling process for the associated status, and clarifying the handling object. S11: Obtaining status identifier data and entity relationship diagram data through the independent status assessment interface; Sending a request containing the order identifier to the independent status assessment data interface, receiving and parsing the response data, and extracting the core data for subsequent analysis: status identifier data and entity relationship diagram data; S12: Determining whether it meets the preset level status; Based on the status identifier data, determining whether the associated status level of the current order has reached the preset level status. If the determination is "no", proceed to S20; S20: Maintaining the original status; When the associated status level of the order has not reached the preset threshold, maintaining the original business status, and the process ends; If the determination is "yes", proceeding to the subsequent handling process S13; S13: Calling the inference analysis service to generate an associated impact assessment report; Calling the inference analysis service through the first microservice interface (routed and forwarded through the interface gateway), performing associated impact inference analysis based on the entity relationship diagram data structure: locating abnormal nodes, and confirming the abnormal nodes through the graph traversal algorithm. S14: Determine the impact transmission path and affected entities, quantify the potential impact consequences, and integrate to generate a standardized related impact assessment report; S15: Call the strategy generation service, match the knowledge base and adapt the parameters to generate a structured disposal strategy; Call the strategy generation service through the second microservice interface (routed and forwarded through the interface gateway): parse the related impact assessment report, extract the core impact elements, match the corresponding disposal rule set in the preset strategy knowledge base, and adapt the rule set parameters in combination with the real-time dynamic data of ship trade orders to generate a structured disposal strategy that includes specific disposal actions, implementation plans and impact assessments; S16: Send to the user terminal, respond to the user terminal's decision feedback, and iteratively optimize the strategy knowledge base; Push the structured disposal strategy to the user terminal for operators to make decisions: Respond to the user terminal's decision feedback information, execute the corresponding business processing operations, enter the decision feedback information into the preset strategy knowledge base, and iteratively optimize the strategy matching logic.

[0130] like Figure 3 As shown, the second aspect of this application provides an intelligent handling device 300 for the associated status of a ship trade chain, comprising: an acquisition module 302, used to acquire an entity relationship graph data structure and status identifier data corresponding to the current ship trade order; the entity relationship graph data structure includes node data representing each associated entity and edge data representing the relationship between each associated entity; the status identifier data represents the associated status level of the current ship trade order; an analysis module 304, used to perform an associated impact deduction analysis based on the entity relationship graph data structure and generate an associated impact assessment report if the status identifier data determines that the status meets the preset level; and a generation module 306, used to automatically match and generate a structured handling strategy based on the associated impact assessment report and a preset strategy knowledge base.

[0131] In the above embodiments, entity relationship diagram data structure and status identifier data corresponding to ship trade orders are acquired, comprehensively integrating multi-dimensional information such as associated entities, relationships, and status levels of the ship trade chain to improve the accuracy of association status judgment; based on the status identifier data, it is determined whether the order meets the preset status level, accurately screening orders that need to be handled, improving the overall efficiency of analysis and handling; for orders that meet the preset status level, association impact deduction analysis is performed based on the entity relationship diagram data structure and an association impact assessment report is generated, integrating the multi-dimensional analysis results into a systematic and comprehensive standardized document, providing strong support for subsequent efficient handling; based on the association impact assessment report and the preset strategy knowledge base, a structured handling strategy is automatically matched and generated, constructing a complete link from data acquisition, status determination to impact analysis and handling generation, improving the targeting and overall execution efficiency of ship trade chain association status handling.

[0132] In some embodiments of this application, optionally, the intelligent handling device for ship trade chain related status further includes an interaction module; the interaction module works in conjunction with the acquisition module, the analysis module, and the generation module to receive integration requests from external business systems for specific handling stages through an interface gateway; in response to the integration request, it provides corresponding data access interfaces to external business systems through the interface gateway; wherein, the data access interface is at least used to provide status identification data or related impact assessment reports.

[0133] like Figure 4 As shown, the third aspect of this application provides a smart handling device 400 for the status of ship trade chain association, including: a memory 402 for storing programs or instructions; and a processor 404 for executing programs or instructions to implement the steps of the smart handling method for the status of ship trade chain association provided in any of the above embodiments. Therefore, it can also achieve all the same technical effects, and will not be described again here to avoid repetition.

[0134] The fourth aspect of this application provides a readable storage medium storing a program or instructions that, when executed by a processor, implement the steps of the intelligent handling method for ship trade chain associated status as provided in any of the above embodiments. Therefore, it can also achieve all the same technical effects, and will not be described again here to avoid repetition.

[0135] The methods described above can be implemented in various ways depending on specific features and / or example applications. For example, these methods can be implemented through a combination of hardware, firmware, and / or software. For instance, in a hardware implementation, the processor can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, electronic devices, other device units for performing the functions described above, and / or combinations thereof.

[0136] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing, but is not limited thereto. A non-exhaustive list of more specific examples of computer-readable storage media includes: portable computer floppy disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory, static random-access memory (SRAM), portable optical disc read-only memory (CD-ROM), digital video disc (DVD), memory cards, floppy disks, encoding mechanical devices (e.g., punched cards or grooves with raised structures for recording instructions), and any suitable combination of the foregoing. The computer-readable storage medium used herein should not be construed as the transmission signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media, or electrical signals transmitted through wires.

[0137] In the claims, description, and accompanying drawings of this application, the term "plural" refers to two or more objects. Unless otherwise explicitly defined, the terms "upper," "lower," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used solely for the convenience of describing this application and simplifying the descriptive process, and are not intended to indicate or imply that the device or element referred to must have the described specific orientation, or be constructed and operated in a specific orientation. Therefore, these descriptions should not be construed as limitations on this application. The terms "connection," "installation," "fixing," etc., should be interpreted broadly. For example, "connection" can be a fixed connection between multiple objects, a detachable connection between multiple objects, or an integral connection; it can be a direct connection between multiple objects or an indirect connection between multiple objects through an intermediate medium. For those skilled in the art, the specific meaning of the above terms in this application can be understood based on the specific circumstances described above.

[0138] In the claims, description, and accompanying drawings of this application, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this application. In the claims, description, and accompanying drawings of this application, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0139] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for intelligently handling the status of ship trade chain associations, characterized in that, Executed by a processor, the method includes: Obtain the entity relationship graph data structure and status identifier data corresponding to the current ship trade order; the entity relationship graph data structure includes node data representing each associated entity and edge data representing the relationship between the associated entities; the status identifier data is used to represent the association status level of the current ship trade order; If the status is determined to meet the preset level based on the status identifier data, then based on the entity relationship diagram data structure, an association impact deduction analysis is performed to generate an association impact assessment report. Based on the aforementioned impact assessment report and the preset strategy knowledge base, a structured response strategy is automatically matched and generated.

2. The method according to claim 1, characterized in that, The step of performing correlation impact analysis based on the entity relationship graph data structure and generating a correlation impact assessment report includes: In the entity relationship graph data structure, node data whose location status identification data conforms to the preset level status is regarded as abnormal node; Starting from the abnormal node, a graph traversal algorithm is used to determine the transmission path of the associated influence and the set of affected related entities; Based on the node attribute data of each subject in the affected associated subject set in the entity relationship graph data structure, the potential impact consequences of each subject in the affected associated subject set are quantitatively assessed. Based on the aforementioned correlation impact transmission path, the aforementioned set of affected related entities, and the aforementioned potential impact consequences, the correlation impact assessment report is generated.

3. The method according to claim 1, characterized in that, The step of automatically matching and generating structured response strategies based on the associated impact assessment report and the preset strategy knowledge base includes: Analyze the aforementioned impact assessment report and extract the influencing factors; Based on the influencing factors, the corresponding set of state handling rules is matched in the preset strategy knowledge base; Based on the real-time dynamic data of the current ship trade order, the parameters of the status handling rule set are adapted. Based on the adaptation results, a structured disposal strategy is generated, which includes specific disposal actions, implementation plans, and impact assessments.

4. The method according to claim 1, characterized in that, After automatically matching and generating a structured processing strategy, the method further includes: Send the structured processing strategy to the user terminal; In response to the user's decision feedback information regarding the structured processing strategy, the corresponding business processing operation is executed; The decision feedback information is entered into the preset strategy knowledge base for iterative optimization of the strategy matching logic.

5. The method according to claim 1, characterized in that, The acquisition of the entity relationship graph data structure and status identifier data corresponding to the current ship trade order includes: Send a request to an independent status assessment data interface, the request containing the identification information of the current ship trade order; Receive and parse the response data returned by the status assessment data interface; Extract the status identifier data, as well as the node data and edge data used to construct the entity relationship graph data structure from the response data.

6. The method according to claim 1, characterized in that, The execution-related impact deduction analysis includes: A call request is sent to the simulation analysis service through the first microservice interface to trigger and obtain the related impact assessment report; The automatic matching and generation of structured processing strategies includes: A call request is sent to the policy generation service through the second microservice interface, wherein the call request carries the associated impact assessment report to trigger and obtain the structured treatment policy; In this process, the inference analysis service and the strategy generation service call requests are routed and forwarded through a unified interface gateway.

7. The method according to claim 6, characterized in that, The method further includes: The interface gateway receives integration requests from external business systems for specific processing stages. In response to the integration request, the corresponding data access interface is provided to the external business system through the interface gateway; The data access interface is used to provide at least the status identification data or the associated impact assessment report.

8. A smart device for handling the status of ship trade chain associations, characterized in that, include: The acquisition module is used to acquire the entity relationship diagram data structure and status identifier data corresponding to the current ship trade order; The entity relationship graph data structure includes node data representing each associated entity and edge data representing the relationships between the associated entities. The status identification data is used to characterize the associated status level of the current ship trade order; The analysis module is used to perform correlation impact deduction analysis and generate a correlation impact assessment report based on the entity relationship diagram data structure if the status identification data determines that the status meets the preset level. The generation module is used to automatically match and generate structured disposal strategies based on the associated impact assessment report and the preset strategy knowledge base.

9. A smart device for handling the status of ship trade chain connections, characterized in that, include: Memory, used to store programs or instructions; A processor is configured to implement the steps of the intelligent handling method for ship trade chain associated status as described in any one of claims 1 to 7 when executing the program or instructions.

10. A readable storage medium, characterized in that, It stores programs or instructions that, when executed by a processor, implement the steps of the intelligent handling method for the ship trade chain associated status as described in any one of claims 1 to 7.

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