CN117851385A - Power grid design model generation method, device, equipment and storage medium - Google Patents

Power grid design model generation method, device, equipment and storage medium Download PDF

Info

Publication number
CN117851385A
CN117851385A CN202410032513.4A CN202410032513A CN117851385A CN 117851385 A CN117851385 A CN 117851385A CN 202410032513 A CN202410032513 A CN 202410032513A CN 117851385 A CN117851385 A CN 117851385A
Authority
CN
China
Prior art keywords
data
target
model
information
standard
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202410032513.4A
Other languages
Chinese (zh)
Inventor
荣经国
齐立忠
武宏波
张苏
张亚平
丁勇
陈超胜
左超
肖庆
孙湛冬
秦继
佟惠泽
王宇平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Construction Technology Co ltd
State Grid Economic And Technological Research Institute Co LtdB412 State Grid Office
State Grid Beijing Electric Power Co Ltd
Original Assignee
Beijing Construction Technology Co ltd
State Grid Economic And Technological Research Institute Co LtdB412 State Grid Office
State Grid Beijing Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Construction Technology Co ltd, State Grid Economic And Technological Research Institute Co LtdB412 State Grid Office, State Grid Beijing Electric Power Co Ltd filed Critical Beijing Construction Technology Co ltd
Priority to CN202410032513.4A priority Critical patent/CN117851385A/en
Publication of CN117851385A publication Critical patent/CN117851385A/en
Pending legal-status Critical Current

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a power grid design model generation method, a device, equipment and a storage medium. Comprising the following steps: acquiring a target data standard of the current power engineering, and splitting the target data standard to generate split data; acquiring adjustment data based on the split data, and generating a model design component according to the adjustment data; a grid design model of the current power project is generated based on the model design component. The method has the advantages that the acquired target data standard of the current power engineering is subjected to digital splitting to generate split data, user-defined adjustment data is acquired through the split data, a model design component can be further generated for a user to design a power grid design model, the manual workload is reduced, the efficiency and quality of model generation are improved, the risk that multiple projects and design models brought by different standards are not checked and passed is reduced, meanwhile, the design cost is reduced, and the modeling requirements of different levels of power engineering users can be met.

Description

Power grid design model generation method, device, equipment and storage medium
Technical Field
The present invention relates to the field of power grid engineering technologies, and in particular, to a method, an apparatus, a device, and a storage medium for generating a power grid design model.
Background
The achievement of the power grid project design is mainly delivered in a GIM format, the electric design is taken as a main line, the traditional civil engineering IFC format general data are contained, all contents which need to be handed over after the electric design process are covered, and the support function of the general data at the bottom layer is achieved in the three-dimensional digital construction process of the national grid. With the development and promotion of the three-dimensional digital construction process of the national network, the design results of the engineering project of the national network all require to be delivered by adopting a GIM format. The GIM greatly saves the space occupied by three-dimensional engineering delivery, comprises a power grid full information model, and can provide the bottommost foundation support for future intelligent operation and maintenance.
The traditional design software GIM file is formed in the design stage, if the audit fails, the GIM file needs to be returned to the design file to adjust the GIM primitive and attribute for a plurality of times, and then the GIM file is output for audit delivery. In the process, a power grid project is usually subjected to the phenomenon that a plurality of designers often have failed auditing and repeatedly modify part of areas in the project, so that the manual workload is high, and the power grid design model generation efficiency is low.
Disclosure of Invention
The invention provides a power grid design model generation method, a device, equipment and a storage medium, which are used for improving the generation efficiency of a power grid design model in the GIM design process by a method based on the national grid GIM standard specification.
According to an aspect of the present invention, there is provided a power grid design model generation method, including:
acquiring a target data standard of a current power engineering, and splitting the target data standard to generate split data, wherein the split data comprises association relations of primitive information and attribute information;
acquiring adjustment data based on the split data, and generating a model design component according to the adjustment data;
a grid design model of the current power project is generated based on the model design component.
Optionally, obtaining the target data standard of the current power engineering includes: determining a target engineering type of the current power engineering; acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type; and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
Optionally, splitting the target data standard to generate split data includes: determining identification information corresponding to each data type in the target data standard; constructing a structure table and an attribute table based on a target data standard, and constructing an association relationship between the structure table and the attribute table based on identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information; splitting the target data standard according to the association relation to generate split data.
Optionally, establishing the association relationship between the structure table and the attribute table based on the identification information includes: sequentially taking each piece of identification information as target identification information; determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table; establishing a sub-association relationship between target primitive information and target attribute information; and generating an association relation according to each sub-association relation.
Optionally, acquiring the adjustment data based on the split data includes: the split data is sent to a user terminal for display so as to obtain an adjustment instruction input by a user, wherein the adjustment instruction comprises primitive information and attribute information to be adjusted; the split data is adjusted based on the adjustment instruction to generate adjustment data.
Optionally, generating the model design component according to the adjustment data includes: when a component creation instruction input by a user is acquired, the adjustment data is imported to a specified address to generate a model design component.
Optionally, generating the power grid design model of the current power engineering based on the model design component includes: the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained; the target model design component and the editing instructions are combined to generate the grid design model.
According to another aspect of the present invention, there is provided a power grid design model generating apparatus including:
the data standard acquisition and splitting data generation module is used for acquiring a target data standard of the current power engineering and splitting the target data standard to generate splitting data, wherein the splitting data comprises association relations of primitive information and attribute information;
the model design component generating module is used for acquiring adjustment data based on the split data and generating a model design component according to the adjustment data;
and the power grid design model generation module is used for generating a power grid design model of the current power engineering based on the model design component.
Optionally, the data standard acquiring and splitting data generating module specifically includes: a target data standard acquisition unit configured to: determining a target engineering type of the current power engineering; acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type; and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
Optionally, the data standard acquiring and splitting data generating module specifically includes: an identification information determining unit configured to: determining identification information corresponding to each data type in the target data standard; an association relation determining unit for: constructing a structure table and an attribute table based on a target data standard, and constructing an association relationship between the structure table and the attribute table based on identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information; a split data generating unit configured to: splitting the target data standard according to the association relation to generate split data.
Optionally, the association relation determining unit is specifically configured to: sequentially taking each piece of identification information as target identification information; determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table; establishing a sub-association relationship between target primitive information and target attribute information; and generating an association relation according to each sub-association relation.
Optionally, the model design component generating module specifically includes: the adjustment data acquisition unit is specifically configured to: the split data is sent to a user terminal for display so as to obtain an adjustment instruction input by a user, wherein the adjustment instruction comprises primitive information and attribute information to be adjusted; the split data is adjusted based on the adjustment instruction to generate adjustment data.
Optionally, the model design component generating module specifically includes: the model design component generating unit is specifically used for: when a component creation instruction input by a user is acquired, the adjustment data is imported to a specified address to generate a model design component.
Optionally, the power grid design model generating module is specifically configured to: the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained; the target model design component and the editing instructions are combined to generate the grid design model.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a grid design model generation method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement a power grid design model generation method according to any one of the embodiments of the present invention when executed.
According to the technical scheme, the acquired target data standard of the current power engineering is digitally split to generate split data, user-defined adjustment data is acquired through the split data, and a model design component can be further generated for a user to design a power grid design model, so that the manual workload is reduced, the efficiency and quality of model generation are improved, the risk that the verification of the design model caused by multiple engineering and different standards is not passed is reduced, meanwhile, the design cost is reduced, and the modeling requirements of different levels of power engineering users can be met.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for generating a power grid design model according to a first embodiment of the present invention;
FIG. 2 is a flowchart of another method for generating a power grid design model according to a first embodiment of the present invention;
FIG. 3 is a flowchart of another method for generating a power grid design model according to a second embodiment of the present invention;
FIG. 4 is a schematic diagram of a warehousing and usage flow of a model design component according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a power grid design model generating device according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device implementing a method for generating a power grid design model according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described 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.
Example 1
Fig. 1 is a flowchart of a method for generating a power grid design model according to an embodiment of the present invention, where the method may be performed by a power grid design model generating device, which may be implemented in hardware and/or software, and the power grid design model generating device may be configured in a computer controller. As shown in fig. 1, the method includes:
S110, acquiring a target data standard of the current power engineering, and splitting the target data standard to generate split data, wherein the split data comprises association relations of primitive information and attribute information.
The target data standard refers to professional and matched data standards required by the current modeling power engineering. The target data standard refers to a power grid information model standard (Grid Information Model, GIM), namely, a three-dimensional standard is compiled for meeting the three-dimensional delivery requirement of power transmission and transformation engineering, unifying a model framework and a data interaction format and realizing the data sharing of the whole life cycle of the engineering. After the target data standard is determined, the target data standard needs to be split. The GIM standard is a text standard for describing the composition and the attribute of the transformer component, but the text description standard cannot be dataized and informationized, and the splitting refers to the steps of digitizing, datazing and organizing the data structure of the text standard.
It should be noted that, the technical scheme of the embodiment of the invention adopts a layered design, and adopts a layered design, including a basic platform layer, a software development layer and an application integration layer. The basic platform layer comprises functional modules such as geometric modeling, parametric modeling and the like; the software development layer comprises a BIM modeling function and a related module for realizing standardization and digitization of custom attributes; the application integration layer integrates the functions of the basic platform layer and the software development layer, and realizes the digital support of the GIM from geometric modeling to standard attribute customization. And meanwhile, a unified data standard interface is adopted, comprising unified three-dimensional model and data standard sharing, so that the consistency and accuracy of the model from data to construction are ensured.
Fig. 2 is a flowchart of a power grid design model generating method according to an embodiment of the present invention, and step S110 mainly includes steps S111 to S114 as follows:
s111, acquiring a target data standard of the current power engineering.
Optionally, obtaining the target data standard of the current power engineering includes: determining a target engineering type of the current power engineering; acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type; and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
Specifically, before the target data standard of the current power engineering is obtained, the basic geometric primitives in the GIM format, including sphere, cube, cone, cylinder, stretching, rotation, lofting and component systems, need to be disassembled and analyzed. And then the controller performs project analysis of the power engineering, namely, determines the target engineering type of the current power engineering, and matches the target engineering type with the data standard base because the data standard base comprises data standards corresponding to the engineering types, so as to determine the target data standard matched with the target engineering type. The target data criteria include data type, identification information, attribute information, and primitive information.
S112, determining identification information corresponding to each data type in the target data standard.
The identification information is an identification of data types, namely, each type has an ID.
S113, constructing a structure table and an attribute table based on the target data standard, and establishing an association relationship between the structure table and the attribute table based on the identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information.
Optionally, establishing the association relationship between the structure table and the attribute table based on the identification information includes: sequentially taking each piece of identification information as target identification information; determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table; establishing a sub-association relationship between target primitive information and target attribute information; and generating an association relation according to each sub-association relation.
Specifically, the controller builds a structure table and an attribute table. The primitive information corresponds to a structural table of the table file, and the table records the information such as the geometric primitive, the component primitive and the like of the GIM. The attribute information corresponds to an attribute table in the table file, and information such as design attributes of the graphic elements is recorded in the table. The controller may determine target primitive information corresponding to the target identification information in the structure table and target attribute information corresponding to the target identification information in the attribute table, respectively. And then establishing a sub-association relationship between the target primitive information and the target attribute information, and finally establishing the association relationship between the primitive information and the attribute information.
S114, splitting the target data standard according to the association relation to generate split data.
Specifically, splitting the target data standard according to the association relationship refers to a process of splitting the target data standard according to the association relationship between the primitive information and the attribute information. Further, the target data standard after splitting can be imported into a basic enabling platform to form the attribute of the specific graphic primitive type. According to the implementation mode, the GIM text standard can be changed into a standard set with built-in software, and the standard set is better used for unified and shared use of design and modeling personnel.
S120, acquiring adjustment data based on the split data, and generating a model design component according to the adjustment data.
Specifically, the adjustment refers to a process of adjusting the association relationship between the primitive information and the attribute information, the user can input adjustment data according to the need, namely, the process of customizing the attribute by the user, the model design component refers to a design element possibly needed in the design process of the power grid design model, and the model design component comprises one or more basic design elements which can not be split any more.
S130, generating a power grid design model of the current power engineering based on the model design component.
Optionally, generating the power grid design model of the current power engineering based on the model design component includes: the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained; the target model design component and the editing instructions are combined to generate the grid design model.
Specifically, the user may select a target model design component through the user terminal, and may specifically import the target model design component using an import component option in a menu of a project browser or component library. After the power grid design module is imported, the target model design module and an editing instruction can be combined to generate a power grid design module, wherein the editing instruction refers to editing operation performed on the module, and the editing instruction can comprise operations of changing the target model design module, such as enlarging, reducing, rotating and the like.
By the technical scheme of the embodiment of the invention, the geometric modeling and design attribute separation of the GIM model can be realized, the mutual independence and efficiency improvement of creation and editing are realized, and the delivery efficiency and accuracy of the GIM digital three-dimensional model design result are improved. The stability and the safety of the platform are ensured by adopting a domestic autonomous controllable basic energization platform and a domestic modeling technology. In addition, the implementation scheme integrates the BIM software and the technical framework which are mainstream at home and abroad, realizes performance improvement and functional complementation, supports the digital functions of the basic enabling platform, improves the efficiency and quality of engineering construction, and reduces the risk that the design model audit caused by multiple engineering and different standards is not passed. The embodiment combines with the actual business requirement of the power grid engineering, adopts a unified data standard, realizes the consistency and accuracy of data, and can reduce the engineering cost. And the modeling requirements of power engineering users at different levels can be met.
According to the technical scheme, the acquired target data standard of the current power engineering is digitally split to generate split data, user-defined adjustment data is acquired through the split data, and a model design component can be further generated for a user to design a power grid design model, so that the manual workload is reduced, the efficiency and quality of model generation are improved, the risk that the verification of the design model caused by multiple engineering and different standards is not passed is reduced, meanwhile, the design cost is reduced, and the modeling requirements of different levels of power engineering users can be met.
Example two
Fig. 3 is a flowchart of a power grid design model generating method according to a second embodiment of the present invention, where the specific process of obtaining adjustment data based on split data and generating a model design component according to the adjustment data is added on the basis of the first embodiment. The specific contents of steps S210 and S250 are substantially the same as steps S110 and S130 in the first embodiment, so that a detailed description is omitted in this embodiment. As shown in fig. 3, the method includes:
s210, acquiring a target data standard of the current power engineering, and splitting the target data standard to generate split data, wherein the split data comprises association relations of primitive information and attribute information.
Optionally, obtaining the target data standard of the current power engineering includes: determining a target engineering type of the current power engineering; acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type; and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
Optionally, splitting the target data standard to generate split data includes: determining identification information corresponding to each data type in the target data standard; constructing a structure table and an attribute table based on a target data standard, and constructing an association relationship between the structure table and the attribute table based on identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information; splitting the target data standard according to the association relation to generate split data.
Optionally, establishing the association relationship between the structure table and the attribute table based on the identification information includes: sequentially taking each piece of identification information as target identification information; determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table; establishing a sub-association relationship between target primitive information and target attribute information; and generating an association relation according to each sub-association relation.
S220, sending the split data to a user terminal for display so as to acquire an adjustment instruction input by a user, wherein the adjustment instruction comprises primitive information and attribute information to be adjusted.
Specifically, the association relation between the user-defined editing primitive information and the attribute information can be realized through the adjustment instruction.
S230, adjusting the split data based on the adjustment instruction to generate adjustment data.
By way of example, a user may utilize the primitives to design a three-dimensional model of the power engineering, and when completing the primitive design, the user may select an attribute in a component attribute dialog box of the user terminal client interface. At this time, the primitive tree information imported into the software standard set is displayed in a component attribute dialog box for the user to determine the primitive component type, once the type is determined, the custom attribute in the standard set appears in the component attribute dialog box, the user can adjust the attribute item by attribute item, and the design intent is completed, and meanwhile, the standard attribute assignment required by delivery is completed.
S240, when the component creation instruction input by the user is acquired, the adjustment data is imported into the designated address to generate the model design component.
Specifically, for the repetitive primitive model, the repetitive primitive model can be saved as a component, the designated address refers to an address of a component library set by a user, the user can create an instruction by inputting the component, and at this time, the controller will import adjustment data into the designated address to generate a model design component.
Further, fig. 4 is a schematic diagram of a warehousing and use flow of a model design component according to an embodiment of the present invention, where fig. 4 includes creating a new component: a new component is created using a component creation wizard or manually creating components. And (3) loading a component: the newly created component is loaded into the current project. Updating the items: after copying the component, the item needs to be updated to use the component. The items may be updated using update component options in the item browser or component library menu. An importing component: in an item to which the component is to be applied, the component may be imported using an import component option in an item browser or a component library menu. After introduction, the components of the assembly may be used in the project.
S250, generating a power grid design model of the current power engineering based on the model design component.
Optionally, generating the power grid design model of the current power engineering based on the model design component includes: the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained; the target model design component and the editing instructions are combined to generate the grid design model.
According to the technical scheme, the acquired target data standard of the current power engineering is digitally split to generate split data, user-defined adjustment data is acquired through the split data, and a model design component can be further generated for a user to design a power grid design model, so that the manual workload is reduced, the efficiency and quality of model generation are improved, the risk that the verification of the design model caused by multiple engineering and different standards is not passed is reduced, meanwhile, the design cost is reduced, and the modeling requirements of different levels of power engineering users can be met.
Example III
Fig. 5 is a schematic structural diagram of a power grid design model generating device according to a third embodiment of the present invention. As shown in fig. 5, the apparatus includes: the data standard obtaining and splitting data generating module 310 is configured to obtain a target data standard of a current power engineering, and split the target data standard to generate split data, where the split data includes an association relationship between primitive information and attribute information;
the model design component generating module 320 is configured to obtain adjustment data based on the split data, and generate a model design component according to the adjustment data;
The power grid design model generation module 330 is configured to generate a power grid design model of the current power engineering based on the model design component.
Optionally, the data standard acquiring and splitting data generating module 310 specifically includes: a target data standard acquisition unit configured to: determining a target engineering type of the current power engineering; acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type; and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
Optionally, the data standard acquiring and splitting data generating module 310 specifically includes: an identification information determining unit configured to: determining identification information corresponding to each data type in the target data standard; an association relation determining unit for: constructing a structure table and an attribute table based on a target data standard, and constructing an association relationship between the structure table and the attribute table based on identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information; a split data generating unit configured to: splitting the target data standard according to the association relation to generate split data.
Optionally, the association relation determining unit is specifically configured to: sequentially taking each piece of identification information as target identification information; determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table; establishing a sub-association relationship between target primitive information and target attribute information; and generating an association relation according to each sub-association relation.
Optionally, the model design component generating module 320 specifically includes: the adjustment data acquisition unit is specifically configured to: the split data is sent to a user terminal for display so as to obtain an adjustment instruction input by a user, wherein the adjustment instruction comprises primitive information and attribute information to be adjusted; the split data is adjusted based on the adjustment instruction to generate adjustment data.
Optionally, the model design component generating module 320 specifically includes: the model design component generating unit is specifically used for: when a component creation instruction input by a user is acquired, the adjustment data is imported to a specified address to generate a model design component.
Optionally, the power grid design model generating module 330 is specifically configured to: the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained; the target model design component and the editing instructions are combined to generate the grid design model.
According to the technical scheme, the acquired target data standard of the current power engineering is digitally split to generate split data, user-defined adjustment data is acquired through the split data, and a model design component can be further generated for a user to design a power grid design model, so that the manual workload is reduced, the efficiency and quality of model generation are improved, the risk that the verification of the design model caused by multiple engineering and different standards is not passed is reduced, meanwhile, the design cost is reduced, and the modeling requirements of different levels of power engineering users can be met.
The power grid design model generating device provided by the embodiment of the invention can execute the power grid design model generating method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a grid design model generation method. Namely: acquiring a target data standard of a current power engineering, and splitting the target data standard to generate split data, wherein the split data comprises association relations of primitive information and attribute information; acquiring adjustment data based on the split data, and generating a model design component according to the adjustment data; a grid design model of the current power project is generated based on the model design component.
In some embodiments, a grid design model generation method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of a grid design model generation method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform a grid design model generation method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (16)

1. The utility model relates to a power grid design model generation method, which is characterized by comprising the following steps:
acquiring a target data standard of a current power engineering, and splitting the target data standard to generate split data, wherein the split data comprises an association relation between graphic primitive information and attribute information;
acquiring adjustment data based on the split data, and generating a model design component according to the adjustment data;
and generating a power grid design model of the current power engineering based on the model design component.
2. The method of claim 1, wherein the obtaining the target data criteria for the current power project comprises:
determining a target engineering type of the current power engineering;
acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type;
and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
3. The method of claim 1, wherein splitting the target data standard to generate split data comprises:
determining identification information corresponding to each data type in the target data standard;
constructing a structure table and an attribute table based on the target data standard, and establishing an association relationship between the structure table and the attribute table based on the identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information;
and splitting the target data standard according to the association relation to generate the split data.
4. A method according to claim 3, wherein said establishing an association between said structure table and said attribute table based on said identification information comprises:
sequentially taking each piece of identification information as target identification information;
determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table;
establishing a sub-association relationship between the target primitive information and the target attribute information;
and generating the association relation according to each sub-association relation.
5. The method of claim 1, wherein the obtaining adjustment data based on the split data comprises:
the split data are sent to a user terminal for display so as to obtain an adjustment instruction input by a user, wherein the adjustment instruction comprises graphic element information and attribute information to be adjusted;
and adjusting the split data based on the adjustment instruction to generate the adjustment data.
6. The method of claim 1, wherein generating a model design component from the tuning data comprises:
when a component creation instruction input by a user is acquired, the adjustment data is imported into a specified address to generate the model design component.
7. The method of claim 1, wherein the generating a grid design model of a current electrical power project based on the model design component comprises:
the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained;
the target model design component and the editing instructions are combined to generate the grid design model.
8. A power grid design model generation device, characterized by comprising:
the system comprises a data standard acquisition and splitting data generation module, a data analysis module and a data analysis module, wherein the data standard acquisition and splitting data generation module is used for acquiring a target data standard of a current power engineering and splitting the target data standard to generate splitting data, and the splitting data comprises association relations between primitive information and attribute information;
the model design component generating module is used for acquiring adjustment data based on the split data and generating a model design component according to the adjustment data;
and the power grid design model generation module is used for generating a power grid design model of the current power engineering based on the model design component.
9. The apparatus of claim 8, wherein the data standard acquisition and splitting data generation module specifically comprises:
A target data standard acquisition unit configured to: determining a target engineering type of the current power engineering;
acquiring a data standard library, wherein the data standard library comprises data standards corresponding to each engineering type;
and matching the data standard library according to the target engineering type to obtain a target data standard matched with the target engineering type, wherein the target data standard comprises a data type, identification information, attribute information and primitive information.
10. The apparatus of claim 8, wherein the data standard acquisition and splitting data generation module specifically comprises:
an identification information determining unit configured to: determining identification information corresponding to each data type in the target data standard;
an association relation determining unit for: constructing a structure table and an attribute table based on the target data standard, and establishing an association relationship between the structure table and the attribute table based on the identification information, wherein the structure table comprises graphic primitive information, and the attribute table comprises attribute information;
a split data generating unit configured to: and splitting the target data standard according to the association relation to generate the split data.
11. The apparatus according to claim 10, wherein the association relation determining unit is specifically configured to:
sequentially taking each piece of identification information as target identification information;
determining target primitive information corresponding to the target identification information in the structure table, and determining target attribute information corresponding to the target identification information in the attribute table;
establishing a sub-association relationship between the target primitive information and the target attribute information;
and generating the association relation according to each sub-association relation.
12. The apparatus of claim 8, wherein the model design component generation module specifically comprises: the adjustment data acquisition unit is specifically configured to:
the split data are sent to a user terminal for display so as to obtain an adjustment instruction input by a user, wherein the adjustment instruction comprises graphic element information and attribute information to be adjusted;
and adjusting the split data based on the adjustment instruction to generate the adjustment data.
13. The apparatus of claim 8, wherein the model design component generation module specifically comprises: the model design component generating unit is specifically used for:
When a component creation instruction input by a user is acquired, the adjustment data is imported into a specified address to generate the model design component.
14. The apparatus of claim 8, wherein the grid design model generation module is specifically configured to:
the model design component is sent to a user terminal for display, so that a target model design component and an editing instruction input by a user are obtained;
the target model design component and the editing instructions are combined to generate the grid design model.
15. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A computer storage medium storing computer instructions for causing a processor to perform the method of any one of claims 1-7 when executed.
CN202410032513.4A 2024-01-09 2024-01-09 Power grid design model generation method, device, equipment and storage medium Pending CN117851385A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410032513.4A CN117851385A (en) 2024-01-09 2024-01-09 Power grid design model generation method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410032513.4A CN117851385A (en) 2024-01-09 2024-01-09 Power grid design model generation method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN117851385A true CN117851385A (en) 2024-04-09

Family

ID=90543367

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410032513.4A Pending CN117851385A (en) 2024-01-09 2024-01-09 Power grid design model generation method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN117851385A (en)

Similar Documents

Publication Publication Date Title
CN112966004B (en) Data query method, device, electronic equipment and computer readable medium
CN113538706B (en) Digital sand table-based house scene display method, device, equipment and storage medium
CN115761130A (en) Three-dimensional scene rapid construction method and device, electronic equipment and storage medium
CN115185434A (en) Vehicle application scene processing method, device, equipment and storage medium
CN105205854B (en) Data center 3D modeling method and device
CN117851385A (en) Power grid design model generation method, device, equipment and storage medium
CN116483707A (en) Test method, test device, test apparatus, test program, and test program
CN116303461A (en) Component library creation method and device, electronic equipment and storage medium
CN116028517A (en) Fusion database system and electronic equipment
CN116185389A (en) Code generation method and device, electronic equipment and medium
CN115905322A (en) Service processing method and device, electronic equipment and storage medium
CN115309658A (en) Test data derivation method, device, equipment and storage medium
CN114595231B (en) Database table generation method and device, electronic equipment and storage medium
CN116468824B (en) Animation redirection method, device, electronic equipment and storage medium
CN116108589B (en) Method, device, equipment and medium for constructing core model
CN113590219B (en) Data processing method and device, electronic equipment and storage medium
CN116882005A (en) Analytical modeling method, device, equipment and medium for power generation engineering
CN116091033A (en) Form data processing method and device, electronic equipment and storage medium
CN117406964A (en) Data architecture model design method, device, electronic equipment and storage medium
CN117421283A (en) Layer publishing method, device, equipment and storage medium
CN115761149A (en) Airplane configuration model loading and three-dimensional visualization method, device, equipment and medium
CN117057040A (en) Ship design graph generation method, device, equipment and storage medium
CN118113261A (en) Code generation method and device, electronic equipment and storage medium
CN117931176A (en) Business application generation method, device, platform and medium
CN116206073A (en) Data processing method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination