CN115809348A - Knowledge graph construction method and system based on SBOM + FTA framework model - Google Patents
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Abstract
The invention relates to the technical field of knowledge graphs, and provides a knowledge graph construction method based on an SBOM + FTA framework model, which comprises the steps of decomposing an equipment assembly relationship to form a tree-shaped product decomposition structure, establishing an SBOM node set, and forming a many-to-many first mapping relationship with a first data set, a second data set and a third data set; establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA analysis of equipment research and development, and establishing a second mapping relation according to the correlation of the fault tree node set; and fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph. The part node data of the product decomposition structure is more complete in semantic description, the multidimensional multi-level knowledge map can be established based on the part node data of the product decomposition structure, the use efficiency and effect of knowledge in the node data in the actual service process are improved, and the retrieval efficiency and the utilization rate are improved.
Description
Technical Field
The invention relates to the technical field of knowledge maps, in particular to a knowledge map construction method and a knowledge map construction system based on an SBOM + FTA framework model.
Background
Knowledge map (KG), namely, knowledge domain visualization or Knowledge domain mapping map, displays a series of different graphs of Knowledge development process and structure relation by applying theories and methods of subjects such as mathematics, graphics, information visualization technology, information science and the like and a metrology quotation analysis and co-occurrence analysis method, describes Knowledge resources and carriers thereof by using visualization technology, and excavates, analyzes, constructs, draws and displays Knowledge and mutual relation among the Knowledge resources and the carriers. The method displays the complicated knowledge field through data mining, information processing, knowledge metering and graphic drawing, gets rid of the original manual input, and is widely applied to scenes such as intelligent search, text analysis, machine reading understanding, abnormity monitoring, risk control and the like.
CN111428051B discloses a construction method and a system of a self-adaptive learning knowledge graph fused with multivariate intelligence, which comprises the following steps: s1: extracting a domain knowledge element entity; s2: setting attributes of elements of the domain knowledge model, and integrating attributes used for describing learning ability of learners in the multivariate intelligent theory on attributes of knowledge points in the domain knowledge model; s3: establishing relationships between elements of the domain knowledge model; s4: and dynamically updating the knowledge graph of the mesh.
CN115221310B discloses an open source application automatic recommendation method and device based on knowledge graph, comprising: a target knowledge entry page is entered through a software development level knowledge directory; acquiring a target open source application according to the preset link of the target knowledge item page; recommending a combination of a library and a framework which are suitable for the target open source application according to the open source application knowledge graph; wherein the open source application knowledge graph is obtained by the following steps: acquiring open source application data, wherein the open source application data comprises open source applications and the dependency relationship between the open source applications; obtaining the type of each open source application by using a type identification model; determining a straight-chain project, a depended project and a dependent project in the open-source application according to the dependency relationship among the open-source applications; screening out candidate open-source applications for constructing a knowledge graph from the linear chain project, the depended project and the dependent project according to the type of the open-source applications; and constructing the open source application knowledge graph by taking the candidate open source application as a knowledge graph entity and the dependency relationship as a knowledge graph relationship.
In the prior art, due to structural nodes of parts in a product decomposition structure, a high-dimensional multi-layer knowledge graph structure is difficult to form, technical information of other dimensions cannot be borne, and semantic association difficulty is high.
Disclosure of Invention
Long-term practice shows that the parts in the product decomposition structure form part nodes of different levels, the nodes contain information such as assembly relation, geometric tolerance and the like, and have a certain incidence relation with an accessory list, but the nodes are difficult to form incidence relation with service information, so that node data is incomplete in semantic description, a multi-dimensional and multi-level knowledge graph cannot be formed, and even the nodes cannot be used in an actual after-sale service process, so that a series of technical problems that the knowledge nodes are difficult to search, the utilization rate is low and the like are caused.
In view of the above, the present invention is directed to a knowledge graph construction method based on an SBOM + FTA framework model, which includes,
s1, decomposing equipment assembly relation to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relation according to the SBOM node set, a first data set, a second data set and a third data set; the first data set at least comprises maintenance cases, technical bulletins and maintenance schemes; the second data set comprises a maintenance project flow and a maintenance project flow; the third data set comprises a product drawing, an accessory list and a part specification;
s2, establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA (failure mode effect analysis) of equipment research and development, and establishing a many-to-many second mapping relation formed by the fault tree node set, the first data set, the second data set and the third data set according to the correlation of the fault tree node set;
and S3, fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph.
Preferably, in step S1, at least a solid model, a three-dimensional dimension label, a tolerance standard, material properties and an assembly relationship are associated with the SBOM node set after being formed into a standardized format.
Preferably, the first data set, the second data set and the third data set establish an associative link relationship with each other.
Preferably, in step S2, according to historical maintenance data of the device and failure data obtained by FMEA analysis of device development, an event is formed by a failure point, and a failure tree node set is established based on causal logic relationships between events.
Preferably, a third mapping relationship of many-to-many is formed with the SBOM node set according to the position relationship of the specific fault occurring component in the fault tree node set, where the third mapping relationship includes service information data associated with the SBOM node set and the fault tree node set, where the service information data includes at least a first data set d 1 A second data set d 2 A third data set d 3 ；
Wherein, f SBOM Comprises an SBOM node set n and a first data set d 1 A second data set d 2 And a third data set d 3 A set of (a); f. of FTA Comprises a fault tree node set n and a first data set d 1 A second data set d 2 A third data set d 3 A set of (a).
The invention also discloses a system for the above knowledge graph construction method based on the SBOM + FTA framework model, the system comprises,
the first mapping unit is used for decomposing the equipment assembly relationship to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relationship according to the SBOM node set, the first data set, the second data set and the third data set; the first data set at least comprises maintenance cases, technical bulletins and maintenance schemes; the second data set comprises a maintenance project flow and a maintenance project flow; the third data set comprises a product drawing, an accessory list and a part specification;
the second mapping unit is used for establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA (failure mode and effects analysis) of equipment research and development, and establishing a many-to-many second mapping relation with the first data set, the second data set and the third data set according to the correlation of the fault tree node set;
and the construction unit is used for fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph.
Preferably, the first mapping unit comprises a data structuring module, an association module and a link module, wherein the data structuring module is used for decomposing the data according to the equipment assembly relationship to form a tree-structured SBOM node set;
the association module is used for associating the entity model, the three-dimensional dimension label, the tolerance standard, the material attribute and the assembly relation with the SBOM node set after forming a standardized format;
the link module is used for establishing an association link relation among the first data set, the second data set and the third data set.
Preferably, the system further comprises a knowledge graph construction unit, configured to form a knowledge graph structure according to the fault tree node set, the SBOM node set, and the first mapping relationship, the second mapping relationship, and the third mapping relationship, and visually display the knowledge graph structure.
The invention discloses an electronic device, which comprises a memory and a processor: the memory for storing a computer program; the processor is configured to implement the above method when executing the computer program.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method provided by the invention.
Compared with the prior art, the knowledge graph construction method based on the SBOM + FTA framework model, provided by the invention, comprises the steps of S1-S3, decomposing the equipment assembly relationship to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relationship according to the SBOM node set, a first data set, a second data set and a third data set; establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA analysis of equipment research and development, and establishing a many-to-many second mapping relation formed by the fault tree node set, the first data set, the second data set and the third data set according to the correlation of the fault tree node set; and fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph. The invention discloses a knowledge graph construction method and a knowledge graph construction system based on an SBOM + FTA framework model, wherein the parts and components nodes of a product decomposition structure containing information such as assembly relation, geometric tolerance and the like form a mapping relation with service information such as maintenance cases, technical bulletins, maintenance schemes, maintenance project flows and the like, and form a mapping relation with nodes in a fault tree, so that the parts and components node data of the product decomposition structure are more complete in semantic description, a multi-dimensional multi-level knowledge graph can be established based on the parts and components node data of the product decomposition structure, the use efficiency and effect of knowledge in the node data in the actual service flow are improved, and the retrieval efficiency and the utilization rate are improved.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram illustrating service information node association in an SBOM + FTA-based framework model according to the present invention;
FIG. 2 is a schematic diagram of SBOM and FTA mapping based on the SBOM + FTA framework model of the present invention;
FIG. 3 is a schematic diagram of the construction of a knowledge graph based on the SBOM + FTA framework model according to the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are given by way of illustration and explanation only, not limitation.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," "third," "fourth," and the like in the description and in the claims of the invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, parts in a product decomposition structure form part nodes of different levels, the nodes contain information such as assembly relation, geometric tolerance and the like, and have a certain incidence relation with a part list, but the nodes are difficult to form the incidence relation with service information, so that node data is incomplete in semantic description, a multi-dimensional and multi-level knowledge graph cannot be formed, and even the nodes cannot be used in an actual after-sales service process, so that a series of technical problems such as difficulty in retrieving the knowledge nodes, low utilization rate and the like are caused. The invention provides a knowledge graph construction method based on an SBOM + FTA framework model, which is based on the SBOM + FTA framework model as shown in figures 1-3 and comprises the following steps,
s1, decomposing equipment assembly relations to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relation according to the SBOM node set, a first data set, a second data set and a third data set; the first data set at least comprises maintenance cases, technical bulletins and maintenance schemes; the second data set comprises a maintenance project flow and a maintenance project flow; the third data set comprises a product drawing, an accessory list and a part specification;
s2, establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA analysis of equipment research and development, and establishing a many-to-many second mapping relation formed by the fault tree node set, the first data set, the second data set and the third data set according to the correlation of the fault tree node set;
and S3, fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph.
The SBOM node Set (SBOM) is generated by decomposing components through equipment assembly relationship, and the node set includes specific assembly relationship information, and constraints and references in the assembly process, such as assembly tolerance, dimensional parameters and assembly coaxiality reference requirements between a shaft and a bearing. A Fault Tree node set (FTA) is established according to a Fault cause and effect logic generated by a device, and more data needs to be acquired through Failure mode Analysis (FMEA) in the device development process for a new device, so as to establish the Fault Tree node set.
The invention provides a knowledge graph construction method based on an SBOM + FTA framework model, which comprises the steps of S1-S3, decomposing equipment assembly relations to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relation according to the SBOM node set, a first data set, a second data set and a third data set; establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA (failure mode and effects analysis) of equipment research and development, and establishing a many-to-many second mapping relation formed by the fault tree node set, the first data set, the second data set and the third data set according to the correlation of the fault tree node set; and fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph. The invention discloses a knowledge graph construction method based on an SBOM + FTA framework model, which forms a mapping relation between spare and accessory part nodes of a product decomposition structure containing information such as an assembly relation, a geometric tolerance and the like and service information such as a maintenance case, a technical bulletin, a maintenance scheme, a maintenance project flow and the like, and forms a mapping relation with nodes in a fault tree, so that spare and accessory part node data of the product decomposition structure are more complete in semantic description, a multi-level multi-dimensional knowledge graph can be established based on the spare and accessory part node data of the product decomposition structure, the use efficiency and effect of knowledge in the node data in an actual service flow are improved, and the retrieval efficiency and the utilization rate are improved.
In order to better enable the part node to contain the part description information and thus have more complete semantic description, in a preferred case of the present invention, in step S1, at least a solid model, a three-dimensional dimension label, a tolerance standard, material properties, and an assembly relationship are formed into a standardized format and then associated with the SBOM node set. The description of the nodes in different systems is not standard, and the reuse rate is reduced, for example, the node axis of the part comprises materials, solid models, three-dimensional size labels and assembly relations, namely { "40Cr", "axis3.Part", "para.xml", "axis.asm".
In order to better form the association relationship among the service information nodes, better describe the association between the nodes and make the accessory node data more complete in semantic description, in a preferred case of the present invention, the first data set, the second data set and the third data set establish an association link relationship with each other. For example, the first data set includes the location of the part, the second data set includes the maintenance project flow of the part, and the product drawing, the accessory list and the part specification of the third data set, that is, the part may be used as a keyword for association.
Because historical maintenance data of equipment is not available before new products are put into production, in order to better improve more accurate service information use in an after-sales service flow, a fault tree node set is established according to causal logical relations after a potential failure fault mode is analyzed, under the preferable condition of the method, in step S2, according to historical maintenance data of the equipment and failure data obtained by FMEA analysis of equipment research and development, fault points form events, and causal logical relations among the events are established to form the fault tree node set.
In order to obtain an association network between structured node sets, form a many-to-many mapping relationship between an SBOM node set and a fault tree node set, add service information data to form a multi-level and multi-dimensional network structure, present the association relationship and causal relationship between each node, and better improve the node utilization rate and search efficiency in a multi-dimensional and multi-level knowledge graph, as shown in fig. 1 and 3, in a preferred case of the present invention, a many-to-many third mapping relationship is formed with the SBOM node set according to the position relationship of a specific fault occurring component in the fault tree node set, and the third mapping relationship includes service information data associated with the SBOM node set and the fault tree node set, wherein the service information data includes at least a first data set d 1 A second data set d 2 A third data set d 3 ；
Wherein f is SBOM Comprises an SBOM node set n and a first data set d 1 A second data set d 2 A third data set d 3 A set of (a); f. of FTA IncludedA failure tree node set n and a first data set d 1 A second data set d 2 A third data set d 3 A collection of (a).
The invention also discloses a system for the knowledge graph construction method based on the SBOM + FTA framework model, which comprises,
the first mapping unit is used for decomposing the equipment assembly relationship to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relationship according to the SBOM node set, the first data set, the second data set and the third data set; the first data set at least comprises maintenance cases, technical bulletins and maintenance schemes; the second data set comprises a maintenance project flow and a maintenance project flow; the third data set comprises a product drawing, an accessory list and a part specification;
the second mapping unit is used for establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA (failure mode and effects analysis) of equipment research and development, and establishing a many-to-many second mapping relation with the first data set, the second data set and the third data set according to the correlation of the fault tree node set;
and the construction unit is used for fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph.
According to the system for the knowledge graph construction method based on the SBOM + FTA framework model, the first mapping unit is decomposed by equipment assembly relationship to form a tree-shaped product decomposition structure, the product decomposition structure is used for establishing an SBOM node set, and a many-to-many first mapping relationship is formed according to the SBOM node set, the first data set, the second data set and the third data set; the second mapping unit establishes a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA (failure mode effect analysis) of equipment research and development, and establishes a many-to-many second mapping relation with the first data set, the second data set and the third data set according to the correlation of the fault tree node set; the construction unit is used for building and visualizing a service knowledge graph through the first mapping relation and the second mapping relation and fusing a service data set. The system disclosed by the invention forms a mapping relation between the parts node of the product decomposition structure containing information such as assembly relation, geometric tolerance and the like and service information such as a maintenance case, a technical bulletin, a maintenance scheme, a maintenance project flow and the like, and forms a mapping relation with the node in the fault tree, so that the parts node data of the product decomposition structure is more complete in semantic description, a multi-dimensional multi-level knowledge map can be established based on the parts node data of the product decomposition structure, the use efficiency and effect of knowledge in the node data in the actual service flow are improved, and the retrieval efficiency and the utilization rate are improved.
In order to better perform decomposition according to the equipment assembly relationship to form a tree-structured SBOM node set, and then associate service information data to enable the spare and accessory node data to be more complete in semantic description, under the preferable condition of the invention, the first mapping unit comprises a data structuring module, an association module and a link module, wherein the data structuring module is used for decomposing according to the equipment assembly relationship to form the tree-structured SBOM node set;
the association module is used for associating the entity model, the three-dimensional dimension label, the tolerance standard, the material attribute and the assembly relation with the SBOM node set after forming a standardized format;
the link module is used for establishing an association link relation among the first data set, the second data set and the third data set.
In order to better present the association and causal relationship between the nodes, and better improve the utilization rate of the nodes and the retrieval efficiency in the multi-dimensional and multi-level knowledge graph, in a preferred case of the present invention, the system further includes a knowledge graph construction unit, configured to form a knowledge graph structure according to the fault tree node set, the SBOM node set, and the first mapping relationship, the second mapping relationship, and the third mapping relationship, and visually display the structure.
The invention also discloses an electronic device, which comprises a memory and a processor: the memory for storing a computer program; the processor, when executing the computer program, is configured to implement the above method.
Further, the present invention also provides a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method provided by the present invention.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A knowledge graph construction method based on an SBOM + FTA framework model is characterized by comprising the following steps of,
s1, decomposing equipment assembly relations to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relation according to the SBOM node set, a first data set, a second data set and a third data set; the first data set at least comprises maintenance cases, technical bulletins and maintenance schemes; the second data set comprises a maintenance project flow and a maintenance project flow; the third data set comprises a product drawing, an accessory list and a part specification;
s2, establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA analysis of equipment research and development, and establishing a many-to-many second mapping relation formed by the fault tree node set, the first data set, the second data set and the third data set according to the correlation of the fault tree node set;
and S3, fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph.
2. The SBOM + FTA framework model-based knowledgegraph construction method of claim 1, wherein in step S1, at least entity models, three-dimensional dimensioning, tolerance standards, material properties and assembly relationships are associated with the SBOM node set after being formed into a standardized format.
3. The SBOM + FTA framework model-based knowledge graph construction method of claim 1, wherein the first data set, the second data set and the third data set establish an associative link relationship with each other.
4. The SBOM + FTA framework model-based knowledge graph construction method according to claim 1, wherein in step S2, according to failure data obtained by equipment historical maintenance data and equipment research and development FMEA analysis, an event is formed by a failure point, and a failure tree node set is established according to causal logical relations between events.
5. The SBOM + FTA framework model-based knowledge graph construction method according to any one of claims 1 to 4, wherein a many-to-many third mapping relationship is formed between the SBOM node set and the SBOM node set according to the position relationship of the specific fault occurring component in the fault tree node set, the third mapping relationship includes service information data associated with the SBOM node set and the fault tree node set, and the service information data at least includesFirst data set d 1 A second data set d 2 And a third data set d 3 ；
Wherein, f SBOM Comprises an SBOM node set n and a first data set d 1 A second data set d 2 A third data set d 3 A set of (a); f. of FTA Comprises a fault tree node set n and a first data set d 1 A second data set d 2 A third data set d 3 A set of (a).
6. A system for the knowledge-graph construction method based on SBOM + FTA framework model according to any one of claims 1-5, wherein the system comprises,
the first mapping unit is used for decomposing the equipment assembly relationship to form a tree-shaped product decomposition structure, establishing an SBOM node set by the product decomposition structure, and forming a many-to-many first mapping relationship according to the SBOM node set, the first data set, the second data set and the third data set; the first data set at least comprises maintenance cases, technical bulletins and maintenance schemes; the second data set comprises a maintenance project flow and a maintenance project flow; the third data set comprises a product drawing, an accessory list and a part specification;
the second mapping unit is used for establishing a fault tree node set according to historical maintenance data of the equipment and failure data obtained by FMEA (failure mode and effects analysis) of equipment research and development, and establishing a many-to-many second mapping relation with the first data set, the second data set and the third data set according to the correlation of the fault tree node set;
and the construction unit is used for fusing a service data set by the first mapping relation and the second mapping relation, and establishing and visualizing a service knowledge graph.
7. The system according to claim 6, wherein the first mapping unit comprises a data structuring module, an association module and a link module, and the data structuring module is configured to decompose the mapping unit according to the device assembly relationship to form a tree-structured SBOM node set;
the association module is used for associating an entity model, three-dimensional size marking, tolerance standard, material attribute and assembly relation with the SBOM node set after forming a standardized format;
the link module is used for establishing an association link relation among the first data set, the second data set and the third data set.
8. The system according to any one of claims 6 to 7, further comprising a knowledge graph construction unit, configured to form a knowledge graph structure according to the fault tree node set, the SBOM node set, and the first mapping relationship, the second mapping relationship, and the third mapping relationship, and visually display the knowledge graph structure.
9. An electronic device, comprising a memory and a processor: the memory for storing a computer program; the processor, when executing a computer program, for implementing the method of any one of claims 1-5.
10. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the method of any one of claims 1-5.
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| CN116911386A (en) * | 2023-09-12 | 2023-10-20 | 中国长江电力股份有限公司 | Knowledge graph construction method of hydroelectric equipment based on knowledge context service-oriented scene |
| CN116911386B (en) * | 2023-09-12 | 2023-11-28 | 中国长江电力股份有限公司 | Knowledge graph construction method of hydroelectric equipment based on knowledge context service-oriented scene |
| CN118070407A (en) * | 2024-04-22 | 2024-05-24 | 江苏省建筑工程质量检测中心有限公司 | Image processing-based fireproof air duct fire resistance limit simulation and optimization design method |
| CN118070407B (en) * | 2024-04-22 | 2024-07-02 | 江苏省建筑工程质量检测中心有限公司 | Image processing-based fireproof air duct fire resistance limit simulation and optimization design method |
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