Radar three-dimensional assembly process rapid design method based on knowledge graph

Abstract

The invention provides a radar three-dimensional assembly process rapid design method based on a knowledge graph, and the method comprises the steps: constructing a mode layer of a radar assembly process knowledge graph, and determining the entity, relation and entity attribute of the knowledge graph; according to the mode layer of the radar assembly process knowledge graph, constructing a data triple of the radar assembly process knowledge graph; establishing a radar three-dimensional assembly simulation model library, creating a three-dimensional assembly simulation model for each pair of entities with the assembly relationship in the radar assembly process knowledge graph, and storing the three-dimensional assembly simulation model in the model library; and setting assembly processes and steps, and calling the three-dimensional simulation model to the corresponding assembly process to complete the three-dimensional assembly process design. According to the method, a large amount of operation time is saved for technicians, rapid design of the three-dimensional assembly process is achieved, the method is suitable for three-dimensional process design of the radar, the method has the beneficial effects of being efficient and convenient, and digital production and manufacturing of complex products such as the radar can be greatly promoted.

Description

Technical Field

[0001] This invention relates to the field of three-dimensional process design in digital manufacturing, specifically a rapid design method for radar three-dimensional assembly process based on knowledge graphs. Background Technology

[0002] With the development of digital manufacturing technology, more instructive 3D process design has gradually replaced traditional 2D process design in many industries, becoming the mainstream approach. However, in the radar manufacturing field, due to the rapid pace of radar model updates, designing 3D processes for each radar product from scratch would result in a massive workload, consuming significant manpower and time. This has greatly hindered the promotion and application of 3D process design in the radar manufacturing industry.

[0003] To improve the efficiency of 3D process design, invention patent CN113868725B discloses a structured knowledge-based guided method for 3D process design. This method utilizes a structured knowledge base to guide 3D process design, but its effectiveness in improving the efficiency of 3D assembly process design is limited because it does not simplify the operations required in the corresponding 3D software during process design. Invention patent CN105137805B discloses a method for implementing typical processes in 3D assembly simulation. This method requires specifying the correspondence between parts in the current scene and parts in the typical process, making the operation cumbersome. Furthermore, the patent does not explain how to assign the movement modes of parts in the typical process to the parts in the current scene. Summary of the Invention

[0004] To improve the design efficiency of radar 3D assembly process, this invention provides a rapid design method for radar 3D assembly process based on knowledge graph, enabling process designers to quickly perform 3D process design.

[0005] The technical solution for achieving the objective of this invention is as follows:

[0006] A rapid design method for radar 3D assembly process based on knowledge graph, comprising:

[0007] Construct the schema layer of the radar assembly process knowledge graph and determine the entities, relationships, and entity attributes of the knowledge graph;

[0008] Based on the schema layer of the radar assembly process knowledge graph, data triples of the radar assembly process knowledge graph are constructed.

[0009] Establish a radar 3D assembly simulation model library, create a 3D assembly simulation model for each pair of entities with assembly relationship in the radar assembly process knowledge graph, and store them in the model library;

[0010] Set the assembly process and steps, call the 3D simulation model into the corresponding assembly process, and complete the 3D assembly process design.

[0011] Furthermore, the entities in the radar assembly process knowledge graph include various levels of parts, components, and components used in radar assembly.

[0012] Furthermore, the relationships in a knowledge graph include the compositional relationships between entities, as well as the assembly relationships between entities.

[0013] Furthermore, the entity attributes include connection method attributes, positioning attributes, job type attributes, tooling attributes, pre-processing attributes, post-processing attributes, and special requirements attributes. The connection method attribute values ​​include threaded connection, welding, adhesive bonding, riveting, and interference fit. The job type attributes include fitter, welder, electrician, machinist, and painter. The positioning attribute refers to the positioning method during entity installation. The tooling attribute refers to the tools and fixtures required during entity installation. The pre-processing attribute refers to the processing required before entity installation. The post-processing attribute refers to the processing required after entity installation. The special requirements attribute refers to the special requirements during entity installation.

[0014] Furthermore, the data triples include <entity, relation, entity> triples and <entity, attribute, attribute value> triples. The <entity, relation, entity> triples are divided into two categories according to the relation: one category represents the composition relation of entities, and the other category represents the assembly relation between entities.

[0015] Furthermore, the device to be assembled is a radar azimuth turntable. Based on the composition structure of the radar azimuth turntable, a pattern layer of the radar assembly process knowledge graph is constructed. The azimuth turntable is the first level. According to its structure, the azimuth turntable is decomposed into a second level, including: base, slewing support, azimuth transmission device, azimuth synchronization unit, busbar ring, and turntable. The azimuth transmission device is further decomposed into a third level, including azimuth gear, azimuth reducer, and azimuth motor. All components of these three levels are taken as entities of the radar azimuth turntable assembly process knowledge graph.

[0016] Furthermore, construct triples of <entity, relation, entity> according to the compositional relationships of entities, specifically including: <azimuth gear, belonging to, azimuth transmission device>, <azimuth reducer, belonging to, azimuth transmission device>, <azimuth motor, belonging to, azimuth transmission device>, <base, belonging to, azimuth turntable>, <slewing bearing, belonging to, azimuth turntable>, <azimuth transmission device, belonging to, azimuth turntable>, <azimuth synchronous unit, belonging to, azimuth turntable>, <combiner ring, belonging to, azimuth turntable>, <turntable, belonging to, azimuth turntable>.

[0017] Furthermore, based on the assembly relationship between entities, construct a triplet of <entity, relationship, entity>, specifically including: <slewing bearing, mounted on, base>, <azimuth transmission device, mounted on, base>, <azimuth synchronization unit, mounted on, base>, <combiner ring, mounted on, base>, <turntable, mounted on, slewing bearing>, <azimuth gear, mounted on, azimuth reducer>, <azimuth motor, mounted on, azimuth reducer>.

[0018] Furthermore, the creation of the three-dimensional assembly simulation model includes: slewing support-base, azimuth transmission device-base, azimuth synchronization unit-base, busbar-base, turntable-slewing support, azimuth gear-azimuth reducer, and azimuth motor-azimuth reducer model.

[0019] Furthermore, after completing the 3D assembly process design, it is visualized and displayed on the production site.

[0020] Compared with existing technologies, the beneficial effects of this invention are as follows: By constructing a radar assembly process knowledge graph and establishing a radar 3D assembly simulation model library, this invention guides process development using the knowledge graph and calls upon the 3D assembly simulation models in the library, saving process engineers a significant amount of operation time and enabling rapid design of 3D assembly processes. Simultaneously, the radar assembly process knowledge graph can improve the technical level of process engineers and reduce errors in process development. This method is applicable to the 3D process design of radar, offering efficient and convenient benefits, and can greatly promote the digital manufacturing of complex products such as radar. Attached Figure Description

[0021] Figure 1 This is a structural diagram of a radar azimuth turntable. Detailed Implementation

[0022] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0023] This invention provides a rapid design method for radar 3D assembly processes based on knowledge graphs. By establishing a radar assembly process knowledge graph, and based on the assembly relationships between entities in the knowledge graph, a 3D assembly simulation model library is created. Recommended process routes are generated using the knowledge graph, improving design efficiency. Finally, the 3D assembly simulation models in the library are called upon to achieve rapid design of the radar 3D assembly process. The specific steps are as follows:

[0024] (a) Define the schema layer of the radar assembly process knowledge graph and determine the entities, relationships, entity attributes, etc. of the knowledge graph.

[0025] (b) Based on the technological knowledge of radar assembly, construct data triples of the radar assembly technological knowledge graph according to the defined mode layer.

[0026] (c) Establish a radar 3D assembly simulation model library, create a typical 3D assembly simulation model for each pair of entities with assembly relationship in the knowledge graph, and store it in the library.

[0027] (d) Use radar assembly process knowledge graph to generate recommended process routes and create assembly procedures and steps.

[0028] (e) Call the three-dimensional simulation model in the radar three-dimensional assembly simulation library into the corresponding assembly process to complete the three-dimensional assembly process design.

[0029] The entities in the knowledge graph in step (a) include all levels of parts, components, complete parts and components during radar assembly (the smallest unit of division is the module level).

[0030] The relationships between entities in a knowledge graph are divided into two categories: the compositional relationships between entities and the assembly relationships between entities.

[0031] Entity attributes include connection method, positioning, job type, tools and fixtures, pre-processing, post-processing, and special requirements. Connection method attributes include threaded connection, welding, adhesive bonding, riveting, and interference fit. Job type attributes include fitter, welder, electrician, machinist, and painter. Other attributes are text-based, with the positioning attribute specifying the positioning method during entity installation. Tools and fixtures attributes specify the tools and fixtures required during entity installation. Pre-processing attributes specify the treatments required before entity installation, such as cleaning and painting the mounting surface. Post-processing attributes specify subsequent non-installation work after entity installation, such as accuracy checks and touch-up painting. Special requirements attributes specify certain special requirements during entity installation.

[0032] In step (b), the data triples of the knowledge graph are divided into two categories: <entity, relation, entity> triples and <entity, attribute, attribute value> triples. According to the definition of the schema layer in step (a), <entity, relation, entity> triples can also be divided into two categories: one representing the compositional relationship between entities, such as <slewing bearing, belongs to, turntable>; and the other representing the assembly relationship between entities, such as <slewing bearing, installed on, base>. The attribute type and attribute value of the <entity, attribute, attribute value> triple are defined in step (a).

[0033] The directory structure of the radar 3D assembly simulation model library in step (c) should be consistent with the entity composition structure in the radar assembly process knowledge graph to facilitate retrieval by process designers. Typical 3D assembly simulation models should be named using the corresponding pair of entity names from the knowledge graph.

[0034] In step (d), the process designer inputs the product composition into the knowledge graph, and the knowledge graph performs intelligent query to generate a recommended process route for the required product.

[0035] Example 1

[0036] This embodiment takes the assembly process design of a radar azimuth turntable as an example. The steps of the rapid three-dimensional assembly process design method are as follows:

[0037] 1. The composition and structure of the radar azimuth turntable are as follows: Figure 1 As shown, taking the azimuth turntable as the first level, and based on its typical structure, the azimuth turntable is decomposed into a second level, including: base, slewing support, azimuth transmission device, azimuth synchronization unit, busbar ring, turntable, etc. The azimuth transmission device can be further decomposed into a third level, including azimuth gear, azimuth reducer, and azimuth motor. All components of these three levels are considered as entities in the radar azimuth turntable assembly process knowledge graph.

[0038] 2. Based on the hierarchical structure in step 1, define the hierarchical relationships between all entities, and construct triplet data in the format of <entity, belongs to, entity>, including <azimuth gear, belongs to, azimuth transmission device>, <azimuth reducer, belongs to, azimuth transmission device>, <azimuth motor, belongs to, azimuth transmission device>, <base, belongs to, azimuth turntable>, <slewing bearing, belongs to, azimuth turntable>, <azimuth transmission device, belongs to, azimuth turntable>, <azimuth synchronous unit, belongs to, azimuth turntable>, <bus ring, belongs to, azimuth turntable>, <turntable, belongs to, azimuth turntable>.

[0039] 3. Based on the assembly relationships of all entities, construct ternary data in the format of <entity, installed on, entity>, including <slewing bearing, installed on, base>, <azimuth transmission device, installed on, base>, <azimuth synchronization unit, installed on, base>, <bus ring, installed on, base>, <turntable, installed on, slewing bearing>, <azimuth gear, installed on, azimuth reducer>, <azimuth motor, installed on, azimuth reducer>.

[0040] 4. Entities in the azimuth turntable knowledge graph should define the following attributes: connection method, job type, positioning, tools and fixtures, pre-processing, post-processing, and special requirements. The connection method attribute includes threaded connection, welding, adhesive bonding, riveting, and interference fit. The job type attribute includes fitter, welder, electrician, machinist, and painter. Other attributes are text-based, with the positioning attribute referring to the positioning method during entity installation. The tools and fixtures attribute refers to the tools and fixtures required during entity installation. The pre-processing attribute refers to the processing required before entity installation, such as cleaning the mounting surface and painting the mounting surface. The post-processing attribute refers to subsequent non-installation work required after entity installation, such as accuracy checks and touch-up painting. The special requirements attribute refers to certain special requirements during entity installation. Taking an azimuth gear as an example, the following attributes should be defined: <azimuth gear, connection method, threaded connection>, <azimuth gear, job type, fitter>, <azimuth gear, positioning, shaft hole positioning>, <azimuth gear, tooling, copper rod>, <azimuth gear, pretreatment, clean the mating surfaces and check the shaft hole mating dimensions before installation>, <azimuth gear, posttreatment, rotate the gear to check the mating clearance>, <azimuth gear, special requirements, special tools should be used for gear disassembly>.

[0041] 5. Based on the entity assembly relationship in step 3, create the following three-dimensional assembly simulation models of adjacent entities: slewing support - base, azimuth transmission device - base, azimuth synchronization unit - base, busbar - base, turntable - slewing support, azimuth gear - azimuth reducer, azimuth motor - azimuth reducer.

[0042] 6. Establish a three-dimensional assembly simulation model library for the radar azimuth turntable. Store the three-dimensional assembly simulation model from step 5 in the library and name it in the format of "installation part - installed part" (e.g., slewing support - base).

[0043] 7. A radar azimuth turntable consists of a base, a slewing support, and an azimuth transmission device. By consulting the radar azimuth turntable assembly process knowledge graph, the following recommended process routes are obtained: ① Install the slewing support on the base; ② Install the azimuth transmission device on the base. The knowledge graph also lists detailed process information including connection methods, job types, positioning, tools and fixtures, pre-processing, post-processing, and special requirements.

[0044] 8. Create processes and steps based on the recommended processes from the knowledge graph.

[0045] 9. Open the radar azimuth turntable 3D assembly simulation model library, browse or search by name to find the assembly 3D process model of the slewing support-base and azimuth transmission device-base, and call it into the corresponding process.

[0046] 10. The three-dimensional assembly process design of the radar azimuth turntable has been completed and can be used for visualization display on the production site.

[0047] This invention constructs a radar assembly process knowledge graph and establishes a radar 3D assembly simulation model library. The knowledge graph guides process development, and the library's 3D assembly simulation models are used, saving process engineers significant time and enabling rapid 3D assembly process design. This method is applicable to the 3D process design of radar, offering high efficiency and convenience, and can greatly promote the digital manufacturing of complex products such as radar.

[0048] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of the invention and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of the invention should be included within the protection scope of the invention. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.

Claims

1. A knowledge graph-based radar three-dimensional assembly process rapid design method, characterized in that, include: Construct the schema layer of the radar assembly process knowledge graph and determine the entities, relationships, and entity attributes of the knowledge graph; Based on the schema layer of the radar assembly process knowledge graph, data triples of the radar assembly process knowledge graph are constructed. Establish a radar 3D assembly simulation model library, create a 3D assembly simulation model for each pair of entities with assembly relationship in the radar assembly process knowledge graph, and store them in the model library; Set the assembly process and steps, call the 3D simulation model into the corresponding assembly process, and complete the 3D assembly process design. 2.The knowledge graph-based radar three-dimensional assembly process rapid design method according to claim 1, characterized in that, The entities in the radar assembly process knowledge graph include various levels of parts, components, and components used in radar assembly. 3.The knowledge graph-based radar three-dimensional assembly process rapid design method of claim 2, wherein, The relationships in a knowledge graph include the compositional relationships between entities, as well as the assembly relationships between entities.

4. The knowledge graph-based radar three-dimensional assembly process rapid design method according to claim 3, characterized in that, The entity attributes include connection method attributes, positioning attributes, job type attributes, tooling attributes, pre-processing attributes, post-processing attributes, and special requirements attributes. The connection method attribute values ​​include threaded connection, welding, adhesive bonding, riveting, and interference fit. The job type attributes include fitter, welder, electrician, machinist, and painter. The positioning attribute refers to the positioning method during entity installation. The tooling attribute refers to the tools and fixtures required during entity installation. The pre-processing attribute refers to the processing required before entity installation. The post-processing attribute refers to the processing required after entity installation. The special requirements attribute refers to the special requirements during entity installation.

5. The knowledge graph-based radar three-dimensional assembly process rapid design method according to claim 4, characterized in that, The data triples include <entity, relation, entity> triples and <entity, attribute, attribute value> triples. The <entity, relation, entity> triples are divided into two categories according to the relation: one category represents the composition relation of entities, and the other category represents the assembly relation between entities.

6. The rapid design method for radar three-dimensional assembly process based on knowledge graph according to claim 5, characterized in that, The device to be assembled is a radar azimuth turntable. Based on the composition structure of the radar azimuth turntable, a pattern layer of the radar assembly process knowledge graph is constructed. The azimuth turntable is the first level. According to its structure, the azimuth turntable is decomposed into the second level, including: base, slewing support, azimuth transmission device, azimuth synchronization unit, bus ring, and turntable. The azimuth transmission device is further decomposed into the third level, including azimuth gear, azimuth reducer, and azimuth motor. All components of these three levels are taken as entities in the radar azimuth turntable assembly process knowledge graph.

7. The rapid design method for radar 3D assembly process based on knowledge graph according to claim 6, characterized in that, Construct a triple <entity, relation, entity> based on the compositional relationships of the entities, specifically including: <azimuth gear, belonging to, azimuth transmission device>, <azimuth reducer, belonging to, azimuth transmission device>, <azimuth motor, belonging to, azimuth transmission device>, <base, belonging to, azimuth turntable>, <slewing bearing, belonging to, azimuth turntable>, <azimuth transmission device, belonging to, azimuth turntable>, <azimuth synchronous unit, belonging to, azimuth turntable>, <combiner ring, belonging to, azimuth turntable>, <turntable, belonging to, azimuth turntable>.

8. The rapid design method for radar three-dimensional assembly process based on knowledge graph according to claim 7, characterized in that, Based on the assembly relationships between entities, construct a triplet of <entity, relationship, entity>, specifically including: <slewing bearing, mounted on, base>, <azimuth transmission device, mounted on, base>, <azimuth synchronization unit, mounted on, base>, <bus ring, mounted on, base>, <turntable, mounted on, slewing bearing>, <azimuth gear, mounted on, azimuth reducer>, <azimuth motor, mounted on, azimuth reducer>.

9. The rapid design method for radar three-dimensional assembly process based on knowledge graph according to claim 8, characterized in that, The creation of the 3D assembly simulation model includes: slewing support - base, azimuth transmission device - base, azimuth synchronization unit - base, busbar - base, turntable - slewing support, azimuth gear - azimuth reducer, and azimuth motor - azimuth reducer model.

10. The rapid design method for radar three-dimensional assembly process based on knowledge graph according to claim 1, characterized in that, After completing the 3D assembly process design, it is visualized and displayed on the production site.

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