Node data statistical method and device, electronic equipment and storage medium

Abstract

The invention discloses a node data statistics method and device, electronic equipment and a storage medium, and relates to the technical field of data statistics. The method comprises the steps that in response to a received workbench starting instruction, first node data corresponding to a target product is acquired, and the first node data comprises a structure node corresponding to the target product and a first service node associated with the structure node; the first node data are classified and integrated, second node data are obtained, and the node types of the second node data are fewer than those of the first node data; and displaying the second node data and the node number of each type of nodes corresponding to the second node data on a first display interface. Therefore, by integrating the first node data into the second node data with fewer node types, the node statistical process is standardized, the whole process does not need manual participation, the node statistical time can be saved, and the node statistical accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of data statistics, and in particular to a node data statistics method, device, electronic device and storage medium. Background Art

[0002] Failure Mode and Effect Analysis (FMEA) is a systematic activity that analyzes the subsystems, structures, and processes that make up the product during the product design and process design stages, identifies all potential failure modes, and analyzes their possible consequences, so as to take necessary measures in advance to improve product quality and reliability.

[0003] For some complex products, such as new energy vehicles, the subsystems, structures, and processes that make up the products are complex, the types of business nodes are numerous, and the amount of data is huge. In the card view-based mode, the number of FMEA business nodes is relatively complex.

[0004] At present, relevant software or systems do not provide statistical methods for node data and still rely on manual collection and organization of node data. This node statistical method is greatly affected by personal factors such as experience and carefulness, has a large probability of error, and has low statistical efficiency. Summary of the invention

[0005] The present application discloses a node data statistics method, device, electronic device and storage medium, which solve the problems of large error and low efficiency faced by existing node data statistics methods.

[0006] In a first aspect, an embodiment of the present application provides a node data statistics method, the method comprising:

[0007] In response to receiving a workbench startup instruction, obtaining first node data corresponding to the target product; wherein the first node data includes a structure node corresponding to the target product and a first business node associated with the structure node;

[0008] Classify and integrate the first node data to obtain second node data; wherein the second node data includes a structure node and a second business node associated with the structure node, and the node type of the second business node is less than that of the first business node;

[0009] The second node data and the number of nodes of each type corresponding to the second node data are presented on the first display interface.

[0010] In a possible embodiment, the workbench is a failure mode and effect analysis FMEA workbench;

[0011] The node types of the first business node include: function node, requirement or characteristic node, failure node, preventive measure node, preventive control node, detection measure node, detection control node, optimized preventive measure node, optimized preventive control node, optimized detection measure node, and optimized detection control node.

[0012] In a possible embodiment, the node type of the second service node includes a structural node, a functional node, a requirement or characteristic node, a failure node, a preventive control node, a detection control node, a preventive measure node, and a detection measure node.

[0013] In a possible embodiment, after presenting the second node data and the number of nodes of each type corresponding to the second node data on the first display interface, the method further includes:

[0014] In response to the target object selecting a target structure node in the second node data through the first display interface, the substructure node corresponding to the target structure node, the second business node associated with the substructure node, and the number of nodes of each category are presented on the second display interface.

[0015] In a second aspect, an embodiment of the present application provides a node data statistics device, the device comprising:

[0016] A first response module, configured to obtain first node data corresponding to a target product in response to receiving a workbench startup instruction; wherein the first node data includes a structure node corresponding to the target product and a first business node associated with the structure node;

[0017] An integration module, used for classifying and integrating the first node data to obtain second node data; wherein the second node data includes a structure node and a second service node associated with the structure node, and the node type of the second service node is less than that of the first service node;

[0018] The display module is used to present the second node data and the number of nodes of each type corresponding to the second node data on the first display interface.

[0019] In a possible embodiment, the workbench is a failure mode and effect analysis FMEA workbench;

[0020] The node types of the first business node include: function node, requirement or characteristic node, failure node, preventive measure node, preventive control node, detection measure node, detection control node, optimized preventive measure node, optimized preventive control node, optimized detection measure node, and optimized detection control node.

[0021] In a possible embodiment, the node type of the second service node includes a structural node, a functional node, a requirement or characteristic node, a failure node, a preventive control node, a detection control node, a preventive measure node, and a detection measure node.

[0022] In a possible embodiment, the device further includes:

[0023] The second response module, in response to the target object selecting the target structure node in the second node data through the first display interface, presents the substructure node corresponding to the target structure node, the second business node associated with the substructure node, and the number of nodes of each category on the second display interface.

[0024] In a third aspect, the present application provides an electronic device, including:

[0025] Memory, used to store computer programs;

[0026] The processor is used to implement the above-mentioned node data statistics method when executing the computer program stored in the memory.

[0027] In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the above-mentioned node data statistics method is implemented.

[0028] The beneficial effects of this application are as follows:

[0029] The node data statistics method, device, electronic device and storage medium provided in the embodiment of the present application, in response to receiving a workbench startup instruction, obtain the first node data corresponding to the target product; wherein the first node data includes the structural node corresponding to the target product, and the first business node associated with the structural node, so as to realize the association of the business activities of the target product with the node statistical data, thereby organically combining the node statistics with the work content of the engineer. Further, the first node data is classified and integrated to obtain the second node data, wherein the second node data includes the structural node, and the second business node associated with the structural node, and the node type of the second business node is less than the first business node; the second node data, and the number of nodes of each type of node corresponding to the second node data, are presented on the first display interface. In this way, by integrating the first node data into the second node data with fewer node types, the node statistics process is standardized, and the entire process does not require manual participation, which can help save node statistics time and improve the accuracy of node statistics. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A flowchart of a node data statistics method provided by this application;

[0031] Figure 2 This is an example diagram of a first display interface provided by this application;

[0032] Figure 3 This is an example diagram of a second display interface provided by this application;

[0033] Figure 4 A schematic diagram of the structure of a node data statistics device provided by this application;

[0034] Figure 5 A schematic diagram of the structure of an electronic device provided in this application. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The specific operating methods in the method embodiments can also be applied to device embodiments or system embodiments. It should be noted that in the description of the present application, "multiple" is understood as "at least two". "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A is connected to B, which can represent: A is directly connected to B and A is connected to B through C. In addition, in the description of the present application, words such as "first" and "second" are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0036] The embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0037] For some more complex products, such as new energy vehicles, the subsystems, structures, and processes that make up the products are complex, the types of business nodes are numerous, and the amount of data is huge. In the card view-based mode, the number of FMEA business nodes is relatively complex. At present, the relevant software or system does not provide a statistical method for node data, and still relies on manual collection and organization of node data. This node statistical method has the following defects / problems:

[0038] (1) Manual statistics are time-consuming and labor-intensive;

[0039] (2) Manual statistics have a large probability of error and are not as accurate and fast as the system;

[0040] (3) Data fragmentation: Statistical data cannot be organically combined with the actual work content of engineers. It takes further time and effort to complete the connection between current business activities and statistical data.

[0041] In order to solve the above problems, the present application provides a node data statistics method, in response to receiving a workbench startup instruction, obtaining the first node data corresponding to the target product; wherein the first node data includes the structural node corresponding to the target product, and the first business node associated with the structural node, so as to realize the association of the business activities of the target product with the node statistical data, thereby organically combining the node statistics with the work content of the engineer. Further, the first node data is classified and integrated to obtain the second node data, wherein the second node data includes the structural node, and the second business node associated with the structural node, and the node type of the second business node is less than the first business node; the second node data, and the number of nodes of each type of node corresponding to the second node data, are presented on the first display interface. In this way, by integrating the first node data into the second node data with fewer node types, the node statistics process is standardized, and the entire process does not require manual participation, which can help save node statistics time and improve the accuracy of node statistics.

[0042] Among them, the methods, devices, electronic devices and storage media in the embodiments of the present application are based on the same technical concept and the principles of solving the problems are similar. Therefore, the embodiments of the devices, electronic devices, storage media and methods can refer to each other, and the repeated parts will not be repeated.

[0043] In particular, the preferred embodiments of the present application are described below in conjunction with the drawings in the specification. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application, and the embodiments of the present application and the features in the embodiments may be combined with each other if there is no conflict.

[0044] like Figure 1 FIG. 1 is a flowchart of a node data statistics method provided by the present application, which specifically includes the following steps:

[0045] S101, in response to receiving a workbench start instruction, obtaining first node data corresponding to a target product;

[0046] In an embodiment of the present application, the workbench is a FMEA platform, which can display the first node data of the target product in a card view. The first node data includes the structural node corresponding to the target product and the first business node associated with the structural node. The node types of the first business node include: function node, requirement or characteristic node, failure node, preventive measure node, preventive control node, detection measure node, detection control node, optimized preventive measure node, optimized preventive control node, optimized detection measure node, and optimized detection control node. In the above, in the first node data, all the first business nodes are associated based on the structural node, which is helpful for node data query.

[0047] For example, when the target product is a car, the structural nodes of the car include the body domain, power domain, etc.; when the target product is a computer, the structural nodes of the computer include the display, hard disk, battery, etc.; when the target product is an air conditioner, the structural nodes of the air conditioner include the air conditioner outdoor unit, indoor unit, operation panel, etc.

[0048] These target products have a corresponding first business node in each structural node. By associating the first business node with the structural node, based on the deep correlation between the first business node and the composition process of the target object, the composition process of the target object and the node data statistics are combined, thereby realizing the organic combination of the target product's research and development, production, and even subsequent maintenance and repair throughout its entire life cycle with the node statistical data, so that the node statistical data empowers the target product's entire life cycle.

[0049] S302, classifying and integrating the first node data to obtain second node data;

[0050] In an embodiment of the present application, the first node data is classified and integrated, including: obtaining a preset classification template, the classification template containing a preset number of node types, the preset number being less than the number of node types of the first node data, the preset number of node types including structural nodes, and second business nodes associated with the structural nodes, wherein the node types of the second business nodes are less than the first business nodes; based on the classification template, classifying the first node quantity to obtain the second node data corresponding to the classification template, then the second node data includes structural nodes, and second business nodes associated with the structural nodes, wherein the node types of the second business nodes are less than the first business nodes, and the node types of the second node data are less than the node types of the first node data.

[0051] In one embodiment, the classification template includes a preset number of node types including 8 node types, including structure nodes, function nodes, requirement or characteristic nodes, failure nodes, preventive control nodes, detection control nodes, preventive measure nodes, and detection measure nodes. Then, the second node data obtained based on the classification template also includes 8 node types, including structure nodes, function nodes, requirement or characteristic nodes, failure nodes, preventive control nodes, detection control nodes, preventive measure nodes, and detection measure nodes.

[0052] From the above, it can be seen that the node types of the second node data are less than those of the first node data. The first node data is divided into 12 node types, while the node types of the second node data here are 8. After the first node data is classified and integrated into the second node data, the structural nodes are still retained, and the second business nodes and the structural nodes are still associated, that is, the integrated second node data reduces the data node types while still maintaining the combination between the composition process of the target object and the node data statistics, thereby realizing the organic combination of the target product's research and development, production, and even later maintenance and repair of the entire life cycle with the node statistical data, so that the node statistical data can empower the entire life cycle of the target product. Technical effect.

[0053] S303: Present the second node data and the number of nodes of each type corresponding to the second node data on the first display interface.

[0054] After the first node data is classified and integrated into the second node data, the number of nodes of each type in the second node data is counted, and the second node data and the counted number of nodes are presented on the first display interface.

[0055] For example, refer to Figure 2 , which is a first interface display diagram corresponding to an automobile product. Figure 2 In the first interface, the card view is displayed, including the status bar, main view and thumbnail. The main view includes three structural nodes: vehicle, body domain and power domain. The number of nodes of other business nodes (function node, requirement or characteristic node, failure node, prevention control node, detection control node, prevention measure node and detection measure node) is 0. The specific number of nodes is displayed in the status bar. There is a corresponding thumbnail at the bottom left of the main view.

[0056] In one embodiment, after presenting the second node data and the number of nodes of each type corresponding to the second node data on the first display interface, the method further includes:

[0057] Acquire a structure node selection instruction triggered based on the first display interface, where the structure node selection instruction may be to select a structure node or multiple structure nodes;

[0058] In response to the structure selection instruction, that is, when the target object selects the target structure node in the second node data through the first display interface, the substructure node corresponding to the target structure node, the second business node associated with the substructure node, and the number of nodes of each category are presented on the second display interface.

[0059] For example, when the user uses the mouse to Figure 2When you click the power domain in the first display interface shown, the display interface presented by the workbench jumps from the original first display interface to the second display interface. Figure 3 , which is a second display interface diagram. Figure 3 In the second interface, the card view is displayed, including the status bar, main view and thumbnail. The main view includes three structural nodes: power domain, engine, and gearbox. The engine and gearbox are sub-structure nodes of the power domain. The number of nodes of the remaining business nodes (function nodes, requirements or characteristics nodes, failure nodes, preventive control nodes, detection control nodes, preventive measures nodes, and detection measures nodes) is 0. The specific number of nodes is displayed in the status bar. There is a corresponding thumbnail at the bottom left of the main view.

[0060] In the above technical solution, after completing the calculation of the node data, the calculation result is placed in the status bar below the workbench, and according to the structural node selected by the user, the corresponding number of nodes is dynamically calculated, and the calculation result is placed in the status bar below the workbench, and displayed on the same page as the workbench card view, to achieve real-time linkage between node statistics and node selection.

[0061] The node data statistics method provided in the present application, in response to receiving a workbench startup instruction, obtains the first node data corresponding to the target product, the first node data includes the structural node corresponding to the target product, and the first business node associated with the structural node, so as to realize the association of the business activities of the target product with the node statistical data, thereby organically combining the node statistics with the work content of the engineer. Further, the first node data is classified and integrated to obtain the second node data, the second node data includes the structural node, and the second business node associated with the structural node, the node type of the second business node is less than the first business node, and the second node data and the number of nodes of each type of node corresponding to the second node data are presented on the first display interface. In this way, by integrating the first node data into the second node data with fewer node types, the node statistics process is standardized, and the entire process does not require manual participation, which can help save node statistics time and improve the accuracy of node statistics.

[0062] Based on the same inventive concept, the present application also provides a node data statistics device, such as Figure 4 FIG. 1 is a schematic diagram of a node data statistics device in the present application, and the device includes:

[0063] The first response module 401 is used to obtain first node data corresponding to the target product in response to receiving the workbench startup instruction; wherein the first node data includes a structure node corresponding to the target product and a first business node associated with the structure node;

[0064] An integration module 402 is used to classify and integrate the first node data to obtain second node data; wherein the second node data includes a structure node and a second service node associated with the structure node, and the node type of the second service node is less than that of the first service node;

[0065] The display module 403 is used to present the second node data and the number of nodes of each type corresponding to the second node data on the first display interface.

[0066] In a possible embodiment, the workbench is a failure mode and effect analysis FMEA workbench;

[0067] The node types of the first business node include: function node, requirement or characteristic node, failure node, preventive measure node, preventive control node, detection measure node, detection control node, optimized preventive measure node, optimized preventive control node, optimized detection measure node, and optimized detection control node.

[0068] In a possible embodiment, the node type of the second service node includes a function node, a requirement or characteristic node, a failure node, a preventive control node, a detection control node, a preventive measure node, and a detection measure node.

[0069] In a possible embodiment, the device further includes:

[0070] The second response module, in response to the target object selecting the target structure node in the second node data through the first display interface, presents the substructure node corresponding to the target structure node, the second business node associated with the substructure node, and the number of nodes of each category on the second display interface.

[0071] The node data statistics device provided by the present application, in response to receiving a workbench startup instruction, obtains the first node data corresponding to the target product, the first node data includes the structural node corresponding to the target product, and the first business node associated with the structural node, so as to achieve the association of the business activities of the target product with the node statistical data, thereby organically combining the node statistics with the work content of the engineer. Further, the first node data is classified and integrated to obtain the second node data, and the second node data and the number of nodes of each type of node corresponding to the second node data are presented on the first display interface. Among them, the second node data includes the structural node, and the second business node associated with the structural node, and the node type of the second business node is less than the first business node, so that it can help save node statistics time and improve the accuracy of node statistics.

[0072] Based on the same inventive concept, an electronic device is also provided in the embodiment of the present application. The electronic device can realize the functions of the aforementioned node data statistics method device. Figure 5, electronic equipment includes:

[0073] At least one processor 51, and a memory 52 connected to the at least one processor 51. The specific connection medium between the processor 51 and the memory 52 is not limited in the embodiment of the present application. Figure 5 In the example, the processor 51 and the memory 52 are connected via a bus 50. The bus 50 is Figure 5 The connection between other components is shown by bold lines, and the connection between other components is only for schematic illustration and is not intended to be limiting. The bus 50 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. Alternatively, the processor 51 can also be called a controller, and there is no limitation on the name.

[0074] In the embodiment of the present application, the memory 52 stores instructions that can be executed by at least one processor 51. The at least one processor 51 can execute the node data statistics method discussed above by executing the instructions stored in the memory 52. ​​The processor 51 can implement Figure 4 The functions of each module in the device shown.

[0075] Among them, the processor 51 is the control center of the device, and can use various interfaces and lines to connect the various parts of the entire control device. By running or executing instructions stored in the memory 52 and calling data stored in the memory 52, the various functions of the device and processing data, the device can be monitored as a whole.

[0076] In a possible design, the processor 51 may include one or more processing units, and the processor 51 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the modem processor may not be integrated into the processor 51. In some embodiments, the processor 51 and the memory 52 may be implemented on the same chip, and in some embodiments, they may also be implemented separately on separate chips.

[0077] The processor 51 may be a general-purpose processor, such as a central processing unit (CPU), a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and may implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present application. A general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the node data statistics method disclosed in the embodiments of the present application may be directly embodied as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0078] The memory 52 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules. The memory 52 may include at least one type of storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory, a random access memory (Random Access Memory, RAM), a static random access memory (Static Random Access Memory, SRAM), a programmable read-only memory (Programmable Read Only Memory, PROM), a read-only memory (Read Only Memory, ROM), an electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a magnetic memory, a disk, an optical disk, etc. The memory 52 is any other medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 52 in the embodiment of the present application can also be a circuit or any other device that can realize a storage function, for storing program instructions and / or data.

[0079] By programming the processor 51, the code corresponding to the node data statistics method described in the above embodiment can be fixed into the chip, so that the chip can execute the code when running. Figure 1 The steps of the node data statistics method of the embodiment shown are as follows: How to design and program the processor 51 is a technology well known to those skilled in the art and will not be described in detail here.

[0080] Based on the same inventive concept, an embodiment of the present application also provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed on a computer, the computer executes the node data statistics method discussed above.

[0081] In some possible implementations, various aspects of the node data statistics method provided by the present application may also be implemented in the form of a program product, which includes a program code. When the program product is run on an apparatus, the program code is used to enable the control device to execute the steps of the node data statistics method according to various exemplary implementations of the present application described above in this specification.

[0082] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0083] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0084] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A node data statistics method, characterized in that: The method comprises: In response to receiving a workbench startup instruction, obtaining first node data corresponding to a target product; wherein the first node data includes a structure node corresponding to the target product and a first business node associated with the structure node; Classify and integrate the first node data to obtain second node data; wherein the second node data includes the structure node and a second service node associated with the structure node, and the node type of the second service node is less than that of the first service node; The second node data and the number of nodes of each type corresponding to the second node data are presented on the first display interface.

2. The method according to claim 1, characterized in that: The workbench is a failure mode and effect analysis FMEA work platform; The node types of the first business node include: function node, requirement or characteristic node, failure node, preventive measure node, preventive control node, detection measure node, detection control node, optimized preventive measure node, optimized preventive control node, optimized detection measure node, and optimized detection control node.

3. The method according to claim 2, characterized in that: The node types of the second service node include the function node, the requirement or characteristic node, the failure node, the prevention control node, the detection control node, the prevention measure node, and the detection measure node.

4. The method according to claim 1, characterized in that: After presenting the second node data and the number of nodes of each type corresponding to the second node data on the first display interface, the method further includes: In response to the target object selecting a target structure node in the second node data through the first display interface, the substructure node corresponding to the target structure node, the second business node associated with the substructure node, and the number of nodes of each category are presented on the second display interface.

5. A node data statistics device, characterized in that: The device comprises: A first response module, configured to obtain first node data corresponding to a target product in response to receiving a workbench startup instruction; wherein the first node data includes a structure node corresponding to the target product and a first business node associated with the structure node; An integration module, configured to classify and integrate the first node data to obtain second node data; wherein the second node data includes the structure node and a second service node associated with the structure node, and the node type of the second service node is less than that of the first service node; The display module is used to present the second node data and the number of nodes of each type corresponding to the second node data on a first display interface.

6. The device according to claim 5, characterized in that The workbench is a failure mode and effect analysis FMEA work platform; The node types of the first business node include: function node, requirement or characteristic node, failure node, preventive measure node, preventive control node, detection measure node, detection control node, optimized preventive measure node, optimized preventive control node, optimized detection measure node, and optimized detection control node.

7. The device according to claim 6, characterized in that The node types of the second service node include the function node, the requirement or characteristic node, the failure node, the prevention control node, the detection control node, the prevention measure node, and the detection measure node.

8. The device according to claim 5, characterized in that The device also includes: The second response module, in response to the target object selecting a target structure node in the second node data through the first display interface, presents the substructure node corresponding to the target structure node, the second business node associated with the substructure node, and the number of nodes of each category on the second display interface.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, for implementing the method according to any one of claims 1 to 4 when executing a computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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