A pipeline digital twin-based scene interaction modeling method and system

Abstract

The application discloses a kind of scene interaction modeling methods and systems based on pipeline digital twin, comprising: determining target pipe section and the standard pipeline scene demand information of target pipe section;According to standard pipeline scene demand information, the business process chart of target pipe section is generated, and from the pipeline digital twin of target pipe section belonging to, the corresponding pipeline scene historical data of standard pipeline scene demand information is acquired and generated according to knowledge map of target pipe section;The pipeline digital twin of target pipe section belonging to, knowledge map and business process chart are matched and associated, and the pipe section basic data of target pipe section and multiple scene interaction recommendation information are obtained, and from all scene interaction recommendation information, determine target scene interaction information;The pipe section basic data of target pipe section and target scene interaction information are encapsulated, and the scene interaction model of target pipe section is generated.The application realizes the rapid modeling of pipeline scene interaction, improves the use efficiency of pipeline digital twin.

Description

Technical Field

[0001] This invention relates to the field of scene interaction technology, and in particular to a scene interaction modeling method and system based on pipeline digital twins. Background Technology

[0002] As the construction of digital twins in the pipeline industry continues to advance, pipeline digital twins have been developed for multiple business scenarios. However, the various business scenarios corresponding to pipeline digital twins involve numerous physical pipelines and supporting facilities, long business logic chains, and a wide range of business knowledge. The models, data, and mechanisms reflected in the business scenarios and entities are equally complex. This poses significant difficulties for users in viewing, analyzing, and interacting with various scenarios using digital twins, increasing usage costs, reducing efficiency, and hindering the further promotion and application of digital twins.

[0003] Therefore, there is an urgent need to provide a technical solution to address the above problems. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method and system for scene interaction modeling based on a pipeline digital twin.

[0005] The technical solution of the scene interaction modeling method based on pipeline digital twin of the present invention is as follows:

[0006] Determine the target pipe segment and the standard pipeline scenario requirements for the target pipe segment;

[0007] Based on the standard pipeline scenario requirements information, a business process diagram for the target pipeline segment is generated, and a knowledge map for the target pipeline segment is generated from the pipeline digital twin to which the target pipeline segment belongs, based on the historical pipeline scenario data corresponding to the standard pipeline scenario requirements information.

[0008] The pipeline digital twin to which the target pipe segment belongs, the knowledge map, and the business process diagram are matched and associated to obtain the basic pipe segment data and multiple scenario interaction recommendation information of the target pipe segment, and the target scenario interaction information is determined from all the scenario interaction recommendation information.

[0009] The basic data of the target pipe segment and the target scene interaction information are encapsulated to generate the scene interaction model of the target pipe segment.

[0010] The beneficial effects of the scene interaction modeling method based on pipeline digital twins of the present invention are as follows:

[0011] The method of this invention enables rapid modeling of pipeline scene interactions, improving the efficiency of using pipeline digital twins.

[0012] Based on the above scheme, the scene interaction modeling method based on pipeline digital twin of the present invention can be further improved as follows.

[0013] Furthermore, it also includes:

[0014] Using the scene interaction model, the scene interaction feedback information of the target pipe segment is output.

[0015] Furthermore, the steps for determining the target pipe segment and the standard pipeline scenario requirements information for the target pipe segment include:

[0016] The system receives raw pipeline scenario requirement information input by the user, performs semantic recognition and parsing on the raw pipeline scenario requirement information, and determines the target pipe segment and the standard pipeline scenario requirement information of the target pipe segment.

[0017] Furthermore, the step of generating a business process diagram for the target pipe segment based on the standard pipeline scenario requirement information includes:

[0018] Using artificial intelligence algorithms and graphics algorithms, and based on the standard pipeline scenario requirements, a business process diagram for the target pipeline segment is generated.

[0019] Furthermore, the standard pipeline scenario requirement information includes: the scenario domain and location information of the target pipe segment, the business processes, tool modules, and standard specifications corresponding to the pipeline scenario requirements.

[0020] Furthermore, the historical data of the pipeline scenario includes: historical schemes, analysis methods, standards and specifications, and related mechanisms of the target pipeline segment.

[0021] Furthermore, the interactive recommendation information for any scenario includes: analysis tools, interface protocols, data standards, databases, and solution libraries.

[0022] Furthermore, the step of determining the target scene interaction information from all scene interaction recommendation information includes:

[0023] Identify at least one target analysis tool from all the analysis tools available;

[0024] Identify at least one target interface protocol from all the interface protocols;

[0025] Identify at least one target data standard from all the data standards;

[0026] Identify at least one target database from all the databases;

[0027] Identify at least one target solution library from all solution libraries;

[0028] Based on all target analysis tools, all target interface protocols, all target data standards, all target databases, and all target solution libraries, the target scenario interaction information is generated.

[0029] The technical solution of the scene interaction modeling system based on pipeline digital twin of the present invention is as follows:

[0030] It includes: a parsing module, a generation module, a processing module, and a running module;

[0031] The parsing module is used to: determine the target pipe segment and the standard pipeline scenario requirements information of the target pipe segment;

[0032] The generation module is used to: generate a business process diagram of the target pipe segment based on the standard pipeline scenario requirement information, and obtain and generate a knowledge map of the target pipe segment from the pipeline digital twin to which the target pipe segment belongs, based on the pipeline scenario historical data corresponding to the standard pipeline scenario requirement information.

[0033] The processing module is used to: match and associate the pipeline digital twin to which the target pipe segment belongs, the knowledge map and the business process diagram to obtain the basic pipe segment data and multiple scenario interaction recommendation information of the target pipe segment, and determine the target scenario interaction information from all the scenario interaction recommendation information;

[0034] The running module is used to encapsulate the basic data of the target pipe segment and the target scene interaction information to generate the scene interaction model of the target pipe segment.

[0035] The beneficial effects of the scene interaction modeling system based on pipeline digital twins of the present invention are as follows:

[0036] The system of this invention enables rapid modeling of pipeline scene interactions, improving the efficiency of using pipeline digital twins.

[0037] Based on the above scheme, the scene interaction modeling system based on pipeline digital twin of the present invention can be further improved as follows.

[0038] Furthermore, it also includes: a feedback module;

[0039] The feedback module is used to: utilize the scene interaction model to output scene interaction feedback information of the target pipe segment. Attached Figure Description

[0040] Figure 1 This diagram illustrates a first embodiment of a scene interaction modeling method based on a pipeline digital twin provided by the present invention.

[0041] Figure 2This diagram illustrates a second embodiment of a scene interaction modeling method based on a pipeline digital twin provided by the present invention.

[0042] Figure 3 The diagram shows a structural schematic of an embodiment of a scene interaction modeling system based on a pipeline digital twin provided by the present invention. Detailed Implementation

[0043] Figure 1 This diagram illustrates a first embodiment of a scene interaction modeling method based on a pipeline digital twin provided by the present invention. Figure 1 As shown, it includes the following steps:

[0044] Step 110: Determine the target pipe segment and the standard pipeline scenario requirements for the target pipe segment.

[0045] Specifically, ① the target pipe segment refers to the pipe segment requiring scenario interaction modeling in this embodiment. ② Standard pipeline scenario requirements include: the scenario domain, location information, business processes, tool modules, and standard specifications corresponding to the target pipe segment's scenario requirements. ③ Pipeline scenario requirements include, but are not limited to: tracking, analyzing, and extrapolating sub-scenarios belonging to the pipeline risk status analysis scenario, such as pipeline defect status, geological environment, pipeline stress status, meteorological disasters, and high-consequence areas surrounding the pipeline. This also includes comprehensive status analysis, tracking, evaluation, and extrapolation of the aforementioned isolated content. ④ Scenario domains include, but are not limited to: maintenance-related businesses and evaluation-related businesses. ⑤ Location information includes, but is not limited to: the region, coordinates, and range of the pipe segment. ⑥ Business processes include: the relevant business management departments, key business concerns, required inputs / outputs for the business scenario, and management permissions. Tool modules include: the tool modules designed for the required analysis methods and analysis processes. Standard specifications include: data formats, data paths, model paths, and standard specifications required by the enterprise or industry.

[0046] Step 120: Based on the standard pipeline scenario requirement information, generate a business process diagram for the target pipeline segment, and obtain and generate a knowledge map for the target pipeline segment from the pipeline digital twin to which the target pipeline segment belongs, based on the historical pipeline scenario data corresponding to the standard pipeline scenario requirement information.

[0047] Specifically, ① an artificial intelligence and graphics algorithm is used to generate a business process diagram for the target pipe segment based on the required information of the standard pipeline scenario. ② The pipeline digital twin is a pre-built pipeline digital twin containing multiple data points of the target pipe segment. ③ Historical pipeline scenario data includes historical schemes, analysis methods, standards and specifications, and related mechanisms of the target pipe segment. ④ The knowledge map is a knowledge map constructed by matching, analyzing, organizing, and extracting various types of information related to the historical schemes, analysis methods, standards and specifications, and related mechanisms of the target pipe segment.

[0048] It should be noted that: ① The process of generating business process diagrams using artificial intelligence and graphics algorithms is existing technology and will not be elaborated upon here. ② The business process diagram can automatically select and add corresponding scenario nodes and business connections, and can also be automatically adjusted and optimized.

[0049] Step 130: Match and associate the pipeline digital twin to which the target pipe segment belongs, the knowledge map, and the business process diagram to obtain the basic pipe segment data and multiple scenario interaction recommendation information of the target pipe segment, and determine the target scenario interaction information from all the scenario interaction recommendation information.

[0050] The matching and association methods include: ① searching and pairing by keywords, names, fields, etc., or calling API interfaces. ② Basic pipeline data includes: basic data and models of the environment and pipeline body covered by the target pipeline. ③ Scenario interaction recommendation information includes: analysis tools, interface protocols, data standards, databases, and solution libraries.

[0051] Specifically, the steps to determine the target scenario interaction information from all scenario interaction recommendation information include: determining at least one target analysis tool from all analysis tools, determining at least one target interface protocol from all interface protocols, determining at least one target data standard from all data standards, determining at least one target database from all databases, and determining at least one target solution library from all solution libraries.

[0052] Based on all target analysis tools, all target interface protocols, all target data standards, all target databases, and all target solution libraries, the target scenario interaction information is generated.

[0053] The breakdown includes: ① Analysis tools, including but not limited to: process simulation software, CAE simulation software, Matlab, etc. ② Interface protocols, including but not limited to: OPC protocol, HTTP protocol, OPCUA protocol, etc. ③ Data standards, including but not limited to: model-related BIM standards, engineering-related DEC standards, dynamic / static data standards, and custom data standards, etc. ④ Databases, including but not limited to: intermediate databases for SCADA systems related to production operations, GIS databases for geographic information systems, and various self-built or custom databases related to the scenario. ⑤ Solution libraries, including but not limited to: process operation solution libraries, equipment operation and maintenance solution libraries, and historical solution libraries for line risk assessment, etc.

[0054] Step 140: Encapsulate the basic data of the target pipe segment and the target scene interaction information to generate the scene interaction model of the target pipe segment.

[0055] The scenario interaction model is the scenario interaction model of the target pipe segment corresponding to the pipeline scenario requirement information input by the user.

[0056] It should be noted that the specific process of scene encapsulation is existing technology and will not be elaborated on here.

[0057] More preferably, it also includes:

[0058] Step 150: Using the scene interaction model, output the scene interaction feedback information of the target pipe segment.

[0059] The scenario interaction feedback information includes: the operational status of the encapsulated model. For example, the effectiveness and accuracy of the pipeline segment risk assessment.

[0060] It should be noted that if users believe there are problems with the scene interaction feedback, they can make adjustments themselves; the scene interaction model can also recommend adjustment strategies for users to choose from.

[0061] Preferably, step 110 includes:

[0062] The system receives raw pipeline scenario requirement information input by the user, performs semantic recognition and parsing on the raw pipeline scenario requirement information, and determines the target pipe segment and the standard pipeline scenario requirement information of the target pipe segment.

[0063] The original pipeline scenario requirement information includes: a description of the pipeline-related business scenario and requirement information input by the user. For example: obtaining a risk status analysis of a certain pipeline segment in a certain pipeline. ② Semantic recognition and parsing are used to: perform natural language parsing and processing on the statements and convert them into a recognizable format.

[0064] It should be noted that semantic recognition and parsing also identifies scene-related pipeline entities, pipeline business rules, and knowledge, and generates key retrieval information.

[0065] The technical solution in this embodiment enables rapid modeling of pipeline scene interactions, improving the efficiency of using pipeline digital twins.

[0066] Figure 2 The diagram illustrates a second embodiment of a scene interaction modeling method based on a pipeline digital twin provided by the present invention. Figure 2 As shown, it includes the following steps:

[0067] Step 210: Determine the pipeline segment to be analyzed for risk status and the standard pipeline scenario requirements information for the pipeline segment to be analyzed for risk status.

[0068] Specifically, ① the pipe segment to be analyzed for risk status refers to a specific pipe segment within a pipeline network (referred to as segment B within pipeline network A). ② Standard pipeline scenario requirements include: the scenario domain (maintenance-related business) of segment B, location information (region, coordinates, range, etc.), and the corresponding business processes, tool modules, and standard specifications. ③ Business processes include: the relevant business management departments, key business concerns, required inputs / outputs for the business scenario, and management permissions. Tool modules include: the required analysis methods and the tool modules designed for the analysis process. Standard specifications include: data formats, data paths, model paths, and standard specifications required by the enterprise or industry.

[0069] Step 220: Based on the standard pipeline scenario requirement information, generate a business process diagram for the pipeline segment to be analyzed for risk status, and obtain and generate a knowledge map for the pipeline segment to be analyzed for risk status from the pipeline digital twin to which the pipeline segment to be analyzed for risk status belongs, based on the historical pipeline scenario data corresponding to the standard pipeline scenario requirement information.

[0070] The knowledge map includes: knowledge related to high-consequence area analysis, knowledge of pipe defects, etc.

[0071] Step 230: Match and associate the pipeline digital twin to which the pipeline segment to be analyzed for risk status belongs, the knowledge map, and the business process diagram to obtain the basic data of the pipeline segment to be analyzed for risk status and multiple scenario interaction recommendation information, and determine the target scenario interaction information from all the scenario interaction recommendation information.

[0072] Step 240: Encapsulate the basic data of the pipe segment to be analyzed for risk status and the target scenario interaction information to generate the scenario interaction model of the pipe segment to be analyzed for risk status.

[0073] More preferably, it also includes:

[0074] Using the scenario interaction model, the scenario interaction feedback information of the pipeline segment to be analyzed for risk status is output.

[0075] Preferably, step 210 includes:

[0076] The system receives raw pipeline scenario requirement information input by the user, performs semantic recognition and parsing on the raw pipeline scenario requirement information, and determines the pipeline segment to be analyzed for risk status and the standard pipeline scenario requirement information of the pipeline segment to be analyzed for risk status.

[0077] Preferred locations include:

[0078] Using artificial intelligence and graphics algorithms, and based on the standard pipeline scenario requirements, a business process diagram for the pipeline segment to be analyzed for risk status is generated.

[0079] Preferably, the standard pipeline scenario requirement information includes: the scenario domain, location information, business processes, tool modules, and standard specifications corresponding to the pipeline scenario requirements of the pipeline segment to be analyzed for risk status.

[0080] Preferably, the historical data of the pipeline scenario includes: historical schemes, analysis methods, standards and specifications and related mechanisms of the pipeline segment to be analyzed for risk status.

[0081] Ideally, the interactive recommendation information for any scenario includes: analysis tools, interface protocols, data standards, databases, and solution libraries.

[0082] Preferably, the step of determining the target scene interaction information from all scene interaction recommendation information includes:

[0083] Identify at least one target analysis tool from all the analysis tools available;

[0084] Identify at least one target interface protocol from all the interface protocols;

[0085] Identify at least one target data standard from all the data standards;

[0086] Identify at least one target database from all the databases;

[0087] Identify at least one target solution library from all solution libraries;

[0088] Based on all target analysis tools, all target interface protocols, all target data standards, all target databases, and all target solution libraries, the target scenario interaction information is generated.

[0089] The technical solution in this embodiment enables rapid modeling of interactive scenarios for pipeline risk assessment and analysis, thereby improving the efficiency of using pipeline digital twins.

[0090] Figure 3 This diagram illustrates the structure of an embodiment of a scene interaction modeling system based on a pipeline digital twin provided by the present invention. Figure 3 As shown, the system 300 includes: a parsing module 310, a generation module 320, a processing module 330, and a running module 340.

[0091] The parsing module 310 is used to: determine the target pipe segment and the standard pipeline scenario requirements information of the target pipe segment;

[0092] The generation module 320 is used to: generate a business process diagram of the target pipe segment based on the standard pipeline scenario requirement information, and obtain and generate a knowledge map of the target pipe segment from the pipeline digital twin to which the target pipe segment belongs, based on the pipeline scenario historical data corresponding to the standard pipeline scenario requirement information.

[0093] The processing module 330 is used to: match and associate the pipeline digital twin to which the target pipe segment belongs, the knowledge map and the business process diagram to obtain the basic pipe segment data and multiple scenario interaction recommendation information of the target pipe segment, and determine the target scenario interaction information from all the scenario interaction recommendation information;

[0094] The running module 340 is used to: encapsulate the basic data of the target pipe segment and the target scene interaction information to generate the scene interaction model of the target pipe segment.

[0095] Preferably, it also includes: a feedback module;

[0096] The feedback module is used to: utilize the scene interaction model to output scene interaction feedback information of the target pipe segment.

[0097] Preferably, the parsing module 310 is specifically used for:

[0098] The system receives raw pipeline scenario requirement information input by the user, performs semantic recognition and parsing on the raw pipeline scenario requirement information, and determines the target pipe segment and the standard pipeline scenario requirement information of the target pipe segment.

[0099] Preferably, the generation module 320 is specifically used for:

[0100] Using artificial intelligence algorithms and graphics algorithms, and based on the standard pipeline scenario requirements, a business process diagram for the target pipeline segment is generated.

[0101] Preferably, the standard pipeline scenario requirement information includes: the scenario domain and location information of the target pipe segment, the business processes, tool modules, and standard specifications corresponding to the pipeline scenario requirements.

[0102] Preferably, the historical data of the pipeline scenario includes: historical schemes, analysis methods, standards and specifications and related mechanisms of the target pipeline segment.

[0103] Ideally, the interactive recommendation information for any scenario includes: analysis tools, interface protocols, data standards, databases, and solution libraries.

[0104] Preferably, the processing module 330 is specifically used for:

[0105] Identify at least one target analysis tool from all the analysis tools available;

[0106] Identify at least one target interface protocol from all the interface protocols;

[0107] Identify at least one target data standard from all the data standards;

[0108] Identify at least one target database from all the databases;

[0109] Identify at least one target solution library from all solution libraries;

[0110] Based on all target analysis tools, all target interface protocols, all target data standards, all target databases, and all target solution libraries, the target scenario interaction information is generated.

[0111] The technical solution in this embodiment enables rapid modeling of pipeline scene interactions, improving the efficiency of using pipeline digital twins.

[0112] The parameters and steps for implementing the corresponding functions of each module in the scene interaction modeling system 300 based on a pipeline digital twin described above can be referred to the parameters and steps in the embodiment of the scene interaction modeling method based on a pipeline digital twin mentioned above, and will not be repeated here.

[0113] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. Similarly, for the sake of brevity and to aid in understanding one or more aspects of the invention, in the description of exemplary embodiments of the invention above, various features of the embodiments are sometimes grouped together in a single embodiment, figure, or description thereof. The claims, which follow the detailed description, are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0114] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A scene interaction modeling method based on a pipeline digital twin, characterized in that, include: Determine the target pipe segment and the standard pipeline scenario requirements for the target pipe segment; Based on the standard pipeline scenario requirements information, a business process diagram for the target pipeline segment is generated, and a knowledge map for the target pipeline segment is generated from the pipeline digital twin to which the target pipeline segment belongs, based on the historical pipeline scenario data corresponding to the standard pipeline scenario requirements information. The pipeline digital twin to which the target pipe segment belongs, the knowledge map, and the business process diagram are matched and associated to obtain the basic pipe segment data and multiple scenario interaction recommendation information of the target pipe segment, and the target scenario interaction information is determined from all the scenario interaction recommendation information. The basic data of the target pipe segment and the target scene interaction information are encapsulated to generate the scene interaction model of the target pipe segment.

2. The scene interaction modeling method based on pipeline digital twins according to claim 1, characterized in that, Also includes: Using the scene interaction model, the scene interaction feedback information of the target pipe segment is output.

3. The scene interaction modeling method based on pipeline digital twins according to claim 1, characterized in that, The steps for determining the target pipe segment and the standard pipeline scenario requirements for the target pipe segment include: The system receives raw pipeline scenario requirement information input by the user, performs semantic recognition and parsing on the raw pipeline scenario requirement information, and determines the target pipe segment and the standard pipeline scenario requirement information of the target pipe segment.

4. The scene interaction modeling method based on pipeline digital twins according to claim 1, characterized in that, The steps for generating a business process diagram for the target pipe segment based on the standard pipeline scenario requirements information include: Using artificial intelligence algorithms and graphics algorithms, and based on the standard pipeline scenario requirements, a business process diagram for the target pipeline segment is generated.

5. The scene interaction modeling method based on a pipeline digital twin according to any one of claims 1-4, characterized in that, The standard pipeline scenario requirements information includes: the scenario domain, location information, business processes, tool modules, and standard specifications corresponding to the pipeline scenario requirements of the target pipe segment.

6. The scene interaction modeling method based on pipeline digital twins according to claim 5, characterized in that, The historical data of the pipeline scenario includes: historical schemes, analysis methods, standards and specifications and related mechanisms of the target pipeline segment.

7. The scene interaction modeling method based on pipeline digital twins according to claim 5, characterized in that, The interactive recommendation information for any scenario includes: analysis tools, interface protocols, data standards, databases, and solution libraries.

8. The scene interaction modeling method based on pipeline digital twins according to claim 5, characterized in that, The step of determining the target scene interaction information from all scene interaction recommendation information includes: Identify at least one target analysis tool from all the analysis tools available; Identify at least one target interface protocol from all the interface protocols; Identify at least one target data standard from all the data standards; Identify at least one target database from all the databases; Identify at least one target solution library from all solution libraries; Based on all target analysis tools, all target interface protocols, all target data standards, all target databases, and all target solution libraries, the target scenario interaction information is generated.

9. A scene interaction modeling system based on a pipeline digital twin, characterized in that, It includes: a parsing module, a generation module, a processing module, and a running module; The parsing module is used to: determine the target pipe segment and the standard pipeline scenario requirements information of the target pipe segment; The generation module is used to: generate a business process diagram of the target pipe segment based on the standard pipeline scenario requirement information, and obtain and generate a knowledge map of the target pipe segment from the pipeline digital twin to which the target pipe segment belongs, based on the pipeline scenario historical data corresponding to the standard pipeline scenario requirement information. The processing module is used to: match and associate the pipeline digital twin to which the target pipe segment belongs, the knowledge map and the business process diagram to obtain the basic pipe segment data and multiple scenario interaction recommendation information of the target pipe segment, and determine the target scenario interaction information from all the scenario interaction recommendation information; The running module is used to encapsulate the basic data of the target pipe segment and the target scene interaction information to generate the scene interaction model of the target pipe segment.

10. The scene interaction modeling system based on pipeline digital twins according to claim 9, characterized in that, Also includes: Feedback module; The feedback module is used to: utilize the scene interaction model to output scene interaction feedback information of the target pipe segment.

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