Knowledge graph-based ship structure assembly process reasoning method and system

Abstract

The invention provides a ship structure assembly process reasoning method and system based on a knowledge graph. The method comprises the following steps: constructing an assembly process knowledge graph library; the assembly process knowledge graph database comprises assembly element data, assembly process data and an association relationship established between the assembly element data and the assembly process data; establishing an assembly process reasoning model according to the incidence relation between the assembly element data and the assembly process data; acquiring and determining assembly element data; based on the assembly element data, establishing and sending an assembly process reasoning request; and in response to an assembly process reasoning request, receiving and extracting assembly element data, and reasoning based on the assembly process reasoning model and the assembly process knowledge graph database to obtain corresponding assembly process data. According to the method, tight coupling of the assembly element data and the assembly process data is achieved by constructing the assembly process knowledge graph database, the assembly process data is obtained through automatic reasoning based on the assembly element data, and the design standardization degree and design efficiency of the assembly process are improved.

Description

Technical Field

[0001] The present application relates to the technical field of ship structure assembly process, and specifically, to a ship structure assembly process reasoning method and system based on a knowledge graph. Background Art

[0002] With the improvement of ship 3D digital design capabilities, model-based process design has gradually become the mainstream process design method.

[0003] At present, in the design of ship structure assembly process, process designers conduct process design based on two dimensions according to historical experience, ship type characteristics, on-site construction conditions and other factors, and rely on manual reference to technical documents and materials to determine the assembly process. In addition, there is no correlation between the assembly process design content and the three-dimensional process model, resulting in information islands between the process design content and the design object, which greatly affects the efficiency of assembly process design and production and construction efficiency. Summary of the invention

[0004] The purpose of this application is to provide a ship structure assembly process reasoning method and system based on knowledge graph, which solves the information island problem between design content and design object by constructing an assembly process knowledge graph library, realizes the tight coupling of assembly element data and assembly process data, realizes automatic reasoning based on assembly element data to obtain assembly process data, and improves the design standardization and design efficiency of assembly process.

[0005] In the first aspect, a ship structure assembly process reasoning method based on a knowledge graph is provided, including:

[0006] S1. Construct an assembly process knowledge graph library; the assembly process knowledge graph library includes assembly element data and assembly process data, and a correlation relationship is established between the assembly element data and the assembly process data;

[0007] S2, establishing an assembly process reasoning model based on the association between assembly element data and assembly process data;

[0008] S3, obtaining and determining assembly element data;

[0009] S4. Establishing and issuing an assembly process reasoning request based on the determined assembly element data;

[0010] S5. In response to the assembly process reasoning request, the assembly element data is received and extracted, and the assembly process data corresponding to the current assembly element data is obtained by reasoning based on the assembly process reasoning model and the assembly process knowledge graph library.

[0011] In an implementable solution, the assembly element data includes at least the segment type, production site, and ship type; the assembly process data includes at least the mid-assembly type, construction posture, tire frame form, upper tire base surface, and mid-assembly assembly sequence.

[0012] In an implementable solution, in step S2, the assembly process reasoning model includes a primary reasoning model and a secondary reasoning model;

[0013] The first-level reasoning model takes at least the segment type, production site, and ship type as input, and at least the mid-assembly type, construction posture, tire frame form, and upper tire base surface as output;

[0014] The secondary reasoning model takes at least the middle assembly type, construction posture, tire frame form, and upper tire base surface as input, and at least the middle assembly assembly sequence as output.

[0015] In an implementable solution, in step S5, in response to the assembly process reasoning request, the steps of receiving and extracting assembly element data, and obtaining assembly process data corresponding to the current assembly element data by reasoning based on the assembly process reasoning model and the assembly process knowledge graph library include:

[0016] S41, receiving assembly element data, and in response to an assembly process reasoning request, extracting the assembly element data and starting reasoning;

[0017] S42, inputting the assembly element data into the primary reasoning model, and inferring the construction posture, tire frame form, upper tire base surface, and the middle assembly type contained in the segment;

[0018] S43, inputting the middle assembly type, construction posture, tire frame form, and upper tire base surface into the secondary reasoning model to infer the assembly sequence of the middle assembly.

[0019] In an practicable solution, the segment types include at least double bottom segments, side segments, deck segments, and outer plate segments;

[0020] The construction postures include at least forward construction, reverse construction, and side construction;

[0021] The tire frame forms include at least a flat tire frame and a curved tire frame;

[0022] The upper tire base surface at least includes the outer plate, the deck plate, and the inner bottom plate;

[0023] The ship types include at least container ships, gas carriers, bulk carriers, and car ro-ro ships;

[0024] The center assembly types include at least the deck center assembly, bulkhead center assembly and side center assembly.

[0025] In an implementable solution, the ship structure assembly process reasoning method based on the knowledge graph also includes:

[0026] S6, binding the assembly process data inferred in step S5 with the segment model, and storing them in an assembly process database;

[0027] S7. Based on the determined segment model to be assembled, the assembly process data bound to the segment model is extracted from the assembly process database to form an assembly process task package and send it out.

[0028] In an practicable solution, in step S4, the assembly process reasoning request at least includes the determined assembly element data and the service code, and the service code is associated with the assembly element data, and the association is stored in an assembly element database;

[0029] In step S5, after the assembly process data corresponding to the current assembly element data is inferred, the process further includes: forming a request response body with the service code and the inferred assembly process data and sending the request response body;

[0030] In step S6, the step of binding the assembly process data inferred in step S5 with the segment model and storing them in an assembly process database includes:

[0031] S61, receiving the request response body, and extracting the service code and assembly element data therein;

[0032] S62, searching for corresponding assembly element data and segmentation model based on the service code;

[0033] S63: Establish a binding relationship between the assembly process data and the segment model, and store them in the assembly process database.

[0034] In an implementable solution, after step S61, it also includes: S64, performing assembly process data verification; if problems are found after verification based on actual needs, modifying the assembly process data extracted from the request response body, and feeding back the modified information to the assembly process knowledge graph library, and correcting the assembly process reasoning model at the same time.

[0035] In the second aspect, a ship structure assembly process reasoning system based on a knowledge graph is also provided, which is characterized by comprising a building module, a first storage module, a process reasoning module, an acquisition module and a request module;

[0036] The establishment module is used to construct an assembly process knowledge graph library; the assembly process knowledge graph library includes assembly element data and assembly process data, and an association relationship is established between the assembly element data and the assembly process data; it is also used to establish an assembly process reasoning model based on the association relationship between the assembly element data and the assembly process data;

[0037] The first storage module is used to store the assembly process knowledge graph library;

[0038] The acquisition module is used to acquire and determine assembly element data;

[0039] The request module is used to establish and issue an assembly process reasoning request based on the determined assembly element data;

[0040] The process reasoning module is used to respond to the assembly process reasoning request, receive and extract the assembly element data, and infer the assembly process data corresponding to the current assembly element data based on the assembly process reasoning model and the assembly process knowledge graph library.

[0041] In an implementable solution, the ship structure assembly process reasoning system based on the knowledge graph further includes an output module, a receiving module, a sorting module, a second storage module, and a task issuing module;

[0042] The output module is used to send out the inferred assembly process data;

[0043] The receiving module is used to receive the assembly process data sent by the output module;

[0044] The sorting module is used to bind the assembly process data with the segmented model and store them in the assembly process database;

[0045] The second storage module is used to store the assembly process database;

[0046] The task issuing module is used to extract the assembly process data bound to the segment model from the assembly process database based on the determined segment model to be assembled, form an assembly process task package and issue it.

[0047] Compared with the prior art, the beneficial effects of this application include at least:

[0048] The ship structure assembly process reasoning method based on knowledge graph of the present application solves the information island problem between design content and design object based on the constructed assembly process knowledge graph library, and realizes the tight coupling of assembly element data and assembly process data. And based on the assembly process reasoning request, with known assembly element data and through the assembly process knowledge graph library, the corresponding assembly process data can be automatically inferred, which improves the efficiency of assembly process design and helps to improve the efficiency of ship production and construction. At the same time, the process of automatic reasoning, based on the standard data of the assembly process knowledge graph library, can overcome the problems of low efficiency and low accuracy of the original reliance on empirical data, and help to obtain relatively more accurate assembly process data, which is beneficial to improve the subsequent assembly process quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a flowchart of a first method for reasoning about ship structure assembly process based on knowledge graph according to an embodiment of the present application;

[0051] Figure 2 It is a flowchart of a second method for reasoning about ship structure assembly process based on knowledge graph according to an embodiment of the present application;

[0052] Figure 3 It is a structural schematic diagram of a ship structure assembly process reasoning system based on a knowledge graph according to an embodiment of the present application;

[0053] Figure 4 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0055] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0056] like Figure 1 As shown, the embodiment of the present application first provides a ship structure assembly process reasoning method based on a knowledge graph, including:

[0057] S1. Construct an assembly process knowledge graph library; the assembly process knowledge graph library includes assembly element data and assembly process data, and a correlation relationship is established between the assembly element data and the assembly process data;

[0058] S2, establishing an assembly process reasoning model based on the association between assembly element data and assembly process data;

[0059] S3, obtaining and determining assembly element data;

[0060] S4. Establishing and issuing an assembly process reasoning request based on the determined assembly element data;

[0061] S5. In response to the assembly process reasoning request, the assembly element data is received and extracted, and the assembly process data corresponding to the current assembly element data is obtained by reasoning based on the assembly process reasoning model and the assembly process knowledge graph library.

[0062] The ship structure assembly process reasoning method based on knowledge graph of the present application solves the information island problem between design content and design object based on the constructed assembly process knowledge graph library, and realizes the tight coupling of assembly element data and assembly process data. And based on the assembly process reasoning request, with known assembly element data and through the assembly process knowledge graph library, the corresponding assembly process data can be automatically inferred, which improves the efficiency of assembly process design and helps to improve the efficiency of ship production and construction. At the same time, the process of automatic reasoning, based on the standard data of the assembly process knowledge graph library, can overcome the problems of low efficiency and low accuracy of the original reliance on empirical data, and help to obtain relatively more accurate assembly process data, which is beneficial to improve the subsequent assembly process quality.

[0063] In one embodiment, the assembly element data may include at least the segment type, production site, and ship type. The assembly process data may include at least the mid-assembly type, construction posture, tire frame form, upper tire base surface, and mid-assembly assembly sequence.

[0064] In one embodiment, the segment types may include at least double bottom segments, side segments, deck segments, outer plate segments, etc.; the construction postures may include at least positive construction, reverse construction, side construction, etc.; the tire frame forms may include at least flat tire frames, curved tire frames, etc.; the upper tire base surface may include at least outer plates, decks, inner bottom plates, etc.; the ship types may include at least container ships, gas carriers, bulk carriers, car roll-on / roll-off ships, etc.; the mid-assembly types may include at least deck mid-assembly, bulkhead mid-assembly, side mid-assembly, etc.

[0065] In one embodiment, in step S2, the assembly process reasoning model includes a primary reasoning model and a secondary reasoning model;

[0066] The first-level reasoning model takes at least the segment type, production site, and ship type as input, and at least the mid-assembly type, construction posture, tire frame form, and upper tire base surface as output;

[0067] The secondary reasoning model takes at least the middle assembly type, construction posture, tire frame form, and upper tire base surface as input, and at least the middle assembly assembly sequence as output.

[0068] In one embodiment, in step S5, in response to the assembly process reasoning request, the steps of receiving and extracting assembly element data, and obtaining assembly process data corresponding to the current assembly element data by reasoning based on the assembly process reasoning model and the assembly process knowledge graph library include:

[0069] S41, receiving assembly element data, and in response to an assembly process reasoning request, extracting the assembly element data and starting reasoning;

[0070] S42, inputting the assembly element data into the primary reasoning model, and inferring the construction posture, tire frame form, upper tire base surface, and the middle assembly type contained in the segment;

[0071] S43, inputting the middle assembly type, construction posture, tire frame form, and upper tire base surface into the secondary reasoning model to infer the assembly sequence of the middle assembly.

[0072] In one embodiment, if Figure 2 As shown, the ship structure assembly process reasoning method based on the knowledge graph can also include:

[0073] S6, binding the assembly process data inferred in step S5 with the segment model, and storing them in an assembly process database;

[0074] S7. Based on the determined segment model to be assembled, the assembly process data bound to the segment model is extracted from the assembly process database to form an assembly process task package and send it out.

[0075] The above steps will automatically infer the assembly process data, extract and automatically generate task packages as needed to ensure the integrity of the assembly data and improve subsequent assembly efficiency.

[0076] In one embodiment, in step S4, the assembly process reasoning request at least includes the determined assembly element data and the service code, and the service code is associated with the assembly element data, and the association is stored in an assembly element database;

[0077] In step S5, after the assembly process data corresponding to the current assembly element data is inferred, the process further includes: forming a request response body with the service code and the inferred assembly process data and sending the request response body;

[0078] In step S6, the step of binding the assembly process data inferred in step S5 with the segment model and storing them in an assembly process database includes:

[0079] S61, receiving the request response body, and extracting the service code and assembly element data therein;

[0080] S62, searching for corresponding assembly element data and segmentation model based on the service code;

[0081] S63: Establish a binding relationship between the assembly process data and the segment model, and store them in the assembly process database.

[0082] In one embodiment, after step S61, it also includes: S64, performing assembly process data verification; if problems are found after verification based on actual needs, modifying the assembly process data extracted from the request response body, and feeding back the modified information to the assembly process knowledge graph library, and at the same time correcting the assembly process reasoning model to further improve the assembly process knowledge graph library and improve the accuracy of subsequent reasoning.

[0083] like Figure 3 As shown, the embodiment of the present application also provides a ship structure assembly process reasoning system based on a knowledge graph, including an establishment module 11, a first storage module 12, a process reasoning module 13, an acquisition module 21 and a request module 22;

[0084] The establishment module 11 is used to construct an assembly process knowledge graph library; the assembly process knowledge graph library includes assembly element data and assembly process data, and an association relationship is established between the assembly element data and the assembly process data; it is also used to establish an assembly process reasoning model based on the association relationship between the assembly element data and the assembly process data;

[0085] The first storage module 12 is used to store the assembly process knowledge graph library;

[0086] The acquisition module 21 is used to acquire and determine assembly element data;

[0087] The request module 22 is used to establish and issue an assembly process reasoning request based on the determined assembly element data;

[0088] The process reasoning module 13 is used to respond to the assembly process reasoning request, receive and extract the assembly element data, and infer the assembly process data corresponding to the current assembly element data based on the assembly process reasoning model and the assembly process knowledge graph library.

[0089] In one embodiment, if Figure 3 As shown, the ship structure assembly process reasoning system based on the knowledge graph also includes an output module 14, a receiving module 23, a sorting module 24, a second storage module 25, and a task issuing module 26;

[0090] The output module 14 is used to send out the inferred assembly process data;

[0091] The receiving module 23 is used to receive the assembly process data sent by the output module 14;

[0092] The sorting module 24 is used to bind the assembly process data with the segment model and store them in the assembly process database;

[0093] The second storage module 25 is used to store the assembly process database;

[0094] The task issuing module 26 is used to extract assembly process data bound to the segment model from the assembly process database based on the determined segment model to be assembled, form an assembly process task package and issue it.

[0095] Corresponding to the above method embodiment, Figure 4 As shown, the present application also provides an electronic device, which includes a processor 1 and a memory 2 storing computer program instructions. The processor 1 and the memory 2 can communicate with each other through a communication bus 3. The processor 1 is used to execute computer program instructions, and the memory 2 is used to store computer program instructions.

[0096] The processor 1 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the present embodiment. The memory 2 may include a high-speed RAM memory, or may also include a non-volatile memory, such as at least one disk memory. The processor 1 executes at least one computer program instruction to implement the steps shown in the embodiment of the ship structure assembly process reasoning method based on the knowledge graph.

[0097] Corresponding to the above method embodiments, the present application also provides a computer-readable storage medium, on which computer program instructions are stored. When one or more computer program instructions are executed by a processor, the steps shown in the embodiment of the ship structure assembly process reasoning method based on the knowledge graph are implemented.

[0098] Among them, computer storage media can be tangible media that can contain or store programs for use by or in combination with instruction execution systems, devices or equipment. Computer storage media can be machine-readable signal media or machine-readable storage media. Computer storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0099] Corresponding to the above method embodiment, the present application also provides a computer program product. When the instructions in the computer program product are executed by a processor, the steps shown in the embodiment of the ship structure assembly process reasoning method based on the knowledge graph are implemented.

[0100] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A ship structure assembly process reasoning method based on knowledge graph, characterized in that: include: S1. Build an assembly process knowledge graph library; The assembly process knowledge graph library includes assembly element data and assembly process data, and an association relationship is established between the assembly element data and the assembly process data; S2, establishing an assembly process reasoning model based on the association relationship between the assembly element data and the assembly process data; S3, obtaining and determining assembly element data; S4. Establishing and issuing an assembly process reasoning request based on the determined assembly element data; S5. In response to the assembly process reasoning request, the assembly element data is received and extracted, and the assembly process data corresponding to the current assembly element data is obtained by reasoning based on the assembly process reasoning model and the assembly process knowledge graph library.

2. The ship structure assembly process reasoning method based on knowledge graph according to claim 1 is characterized in that: The assembly element data at least includes segment type, production site, and ship type; The assembly process data at least includes the mid-assembly type, the construction posture, the tire frame form, the upper tire base surface and the mid-assembly assembly sequence.

3. The ship structure assembly process reasoning method based on knowledge graph according to claim 2 is characterized in that: In step S2, the assembly process reasoning model includes a primary reasoning model and a secondary reasoning model; The first-level reasoning model takes at least the segment type, production site, and ship type as input, and at least the mid-assembly type, construction posture, tire frame form, and upper tire base surface as output; The secondary reasoning model takes at least the mid-assembly type, construction posture, tire frame form, and upper tire base surface as input, and at least the mid-assembly assembly sequence as output.

4. The ship structure assembly process reasoning method based on knowledge graph according to claim 3 is characterized in that: In step S5, in response to the assembly process reasoning request, the assembly element data is received and extracted, and the assembly process data corresponding to the current assembly element data is obtained by reasoning based on the assembly process reasoning model and the assembly process knowledge graph library, including: S41, receiving assembly element data, and in response to an assembly process reasoning request, extracting the assembly element data and starting reasoning; S42, inputting the assembly element data into the primary reasoning model, and inferring the construction posture, tire frame form, upper tire base surface, and the middle assembly type contained in the segment; S43, inputting the middle assembly type, construction posture, tire frame form, and upper tire base surface into the secondary reasoning model to infer the assembly sequence of the middle assembly.

5. The ship structure assembly process reasoning method based on knowledge graph according to claim 4 is characterized in that: The segment types at least include double bottom segments, side segments, deck segments, and outer plating segments; The construction postures include at least forward construction, reverse construction, and side construction; The tire frame forms include at least a flat tire frame and a curved tire frame; The upper tire base surface at least includes an outer plate, a deck plate, and an inner bottom plate; The ship types include at least container ships, gas carriers, bulk carriers, and car ro-ro ships; The center assembly types include at least the center assembly on deck, the center assembly on bulkhead and the center assembly on side.

6. The ship structure assembly process reasoning method based on knowledge graph according to any one of claims 1 to 5, characterized in that: Also includes: S6, binding the assembly process data inferred in step S5 with the segment model, and storing them in an assembly process database; S7. Based on the determined segment model to be assembled, the assembly process data bound to the segment model is extracted from the assembly process database to form an assembly process task package and send it out.

7. The ship structure assembly process reasoning method based on knowledge graph according to claim 6 is characterized in that: In step S4, the assembly process reasoning request at least includes the determined assembly element data and the service code, and the service code is associated with the assembly element data, and the association is stored in an assembly element database; In the step S5, after the assembly process data corresponding to the current assembly element data is inferred, the step further includes: forming a request response body with the service code and the inferred assembly process data and sending the request response body; In step S6, the step of binding the assembly process data inferred in step S5 with the segment model and storing them in an assembly process database includes: S61, receiving the request response body, and extracting the service code and assembly element data therein; S62, searching for corresponding assembly element data and segmentation model based on the service code; S63: Establish a binding relationship between the assembly process data and the segment model, and store them in the assembly process database.

8. The ship structure assembly process reasoning method based on knowledge graph according to claim 7 is characterized in that: After step S61, it also includes: S64, performing assembly process data verification; if problems are found after verification based on actual needs, modifying the assembly process data extracted from the request response body, and feeding back the modified information to the assembly process knowledge graph library, and correcting the assembly process reasoning model at the same time.

9. A ship structure assembly process reasoning system based on knowledge graph, characterized in that: It comprises a building module (11), a first storage module (12), a process reasoning module (13), an acquisition module (21) and a request module (22); The establishment module (11) is used to construct an assembly process knowledge graph library; the assembly process knowledge graph library includes assembly element data and assembly process data, and an association relationship is established between the assembly element data and the assembly process data; and is also used to establish an assembly process reasoning model based on the association relationship between the assembly element data and the assembly process data; The first storage module (12) is used to store an assembly process knowledge graph library; The acquisition module (21) is used to acquire and determine assembly element data; The request module (22) is used to establish and issue an assembly process reasoning request based on the determined assembly element data; The process reasoning module (13) is used to respond to an assembly process reasoning request, receive and extract assembly element data, and obtain assembly process data corresponding to the current assembly element data by reasoning based on an assembly process reasoning model and an assembly process knowledge graph library.

10. The ship structure assembly process reasoning system based on knowledge graph according to claim 9 is characterized in that: It also includes an output module (14), a receiving module (23), a sorting module (24), a second storage module (25), and a task issuing module (26); The output module (14) is used to send out the inferred assembly process data; The receiving module (23) is used to receive the assembly process data sent by the output module (14); The collating module (24) is used to bind the assembly process data with the segmented model and store them in the assembly process database; The second storage module (25) is used to store an assembly process database; The task issuing module (26) is used to extract assembly process data bound to the segment model from the assembly process database based on the determined segment model to be assembled, form an assembly process task package and issue it.

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