CN112489178A - Three-dimensional power system graph model establishing method and device - Google Patents
Three-dimensional power system graph model establishing method and device Download PDFInfo
- Publication number
- CN112489178A CN112489178A CN202011382633.5A CN202011382633A CN112489178A CN 112489178 A CN112489178 A CN 112489178A CN 202011382633 A CN202011382633 A CN 202011382633A CN 112489178 A CN112489178 A CN 112489178A
- Authority
- CN
- China
- Prior art keywords
- attribute
- equipment
- graph model
- attributes
- data structure
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 51
- 230000000875 corresponding effect Effects 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 6
- 230000002596 correlated effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 abstract description 10
- 238000013461 design Methods 0.000 abstract description 9
- 230000008859 change Effects 0.000 abstract description 8
- 230000003993 interaction Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/005—General purpose rendering architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Computer Graphics (AREA)
- Economics (AREA)
- Geometry (AREA)
- Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Human Resources & Organizations (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a method and a device for establishing a three-dimensional power system graph model. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a method and a device for establishing a three-dimensional power system graph model.
Background
The electric power system is an electric energy production and consumption system which consists of links such as a power plant, a power transmission and transformation line, a power supply and distribution station, power utilization and the like, and the process links comprise power generation, power transmission, power transformation, power distribution, power utilization equipment and corresponding auxiliary systems. Therefore, the power system is composed of complex and huge system operation departments, the number and types of information needing to be analyzed and processed by each system operation department are large, and how to effectively and conveniently process and display the information is convenient for real-time monitoring, fault analysis, historical data management and the like of the whole power system. The problem can be effectively solved by utilizing the graph modeling interface, information can be visually expressed by utilizing the graph model, the error rate and the complexity of operation can be reduced by replacing characters with the graph model, the information is more clearly integrated by utilizing the three-dimensional graph modeling interface, the operation condition of equipment and the geographic information are displayed together, the operation information of the power system is visually expressed, and the production efficiency is improved.
The graph model is used as a component element of a graph model interface of the power system and has an extremely important position in power system simulation. Different styles are often drawn in a power system according to the state of equipment, so that dynamic display is achieved. Meanwhile, the user can edit a self-defined script by himself to dynamically display the appearance and the interaction mode of the model. Therefore, the dynamic three-dimensional power system graph model needs to acquire attributes determined by multiple parties in the interaction. However, the attribute of the user operation input and the attribute of the power system in operation have deviation due to subjective and objective differences and the like, so that the accuracy and the interactive reference of the three-dimensional power system graph model are influenced.
Disclosure of Invention
Therefore, it is necessary to provide a method and an apparatus for establishing a three-dimensional power system graph model, aiming at the defect that the accuracy and the interactive reference of the three-dimensional power system graph model are affected due to the deviation between the attribute of the user operation input and the attribute of the power system in operation caused by subjective and objective differences and the like.
A three-dimensional power system graph model establishing method comprises the following steps:
establishing a device attribute container data structure and a device graph model container data structure;
acquiring corresponding equipment attributes according to the equipment types; the device attributes comprise user side device attributes and device side device attributes;
determining relatively optimal equipment attributes according to the user side equipment attributes and the equipment side equipment attributes;
inputting the relatively optimal device attributes into a device attribute container data structure;
and establishing a graph model according to the relatively optimal equipment attribute, and inputting the graph model into an equipment graph model container data structure.
According to the method for establishing the three-dimensional power system graph model, after the equipment attribute container data structure and the equipment graph model container data structure are established, the relatively optimal equipment attribute determined according to the user side equipment attribute and the equipment side equipment attribute is input into the equipment attribute container data structure, the graph model is established according to the relatively optimal equipment attribute, and the graph model is input into the equipment graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
In one embodiment, the process of determining the relatively optimal device attribute according to the user-side device attribute and the device-side device attribute is as follows:
where Y is the equipment attribute optimization function, δtFor the device-side device attribute for device number j at time t,
for the user side equipment attribute of the user number i at the time t, lambda1、λ2Respectively a first scaling factor and a second scaling factor.
In one embodiment, before the process of inputting the relatively optimal device attributes into the device attribute container data structure, the method further comprises the steps of:
comparing the relatively optimal equipment attribute, the user side equipment attribute and the equipment side equipment attribute;
and when the relatively optimal equipment attribute, the user side equipment attribute and the equipment side equipment attribute are positively correlated, inputting the relatively optimal equipment attribute into an equipment attribute container data structure, and otherwise, discarding the relatively optimal equipment attribute.
In one embodiment, the process of creating a device properties container data structure and a device graph model container data structure includes the steps of:
respectively establishing a dynamic mapping relation table to obtain an equipment attribute container data structure and an equipment graph model container data structure; the key values of the mapping relation table comprise device key values and user key values.
In one embodiment, the device key is a device type 10000000+ device number.
In one embodiment, the user key is a user type × 10000000+ user number.
In one embodiment, the device attributes include dynamic attributes and static attributes;
the dynamic attributes include the charged state, the on-off state and the running state of the device.
Static properties include the size, shape and color of the device.
A three-dimensional power system model building apparatus, comprising:
the container establishing module is used for establishing an equipment attribute container data structure and an equipment graph model container data structure;
the attribute acquisition module is used for acquiring corresponding equipment attributes according to the equipment types; the device attributes comprise user side device attributes and device side device attributes;
the optimal determining module is used for determining the relatively optimal equipment attribute according to the user side equipment attribute and the equipment side equipment attribute;
the attribute input module is used for inputting the relatively optimal equipment attribute into an equipment attribute container data structure;
and the graph model establishing module is used for establishing a graph model according to the relatively optimal equipment attribute and inputting the graph model into the equipment graph model container data structure.
After the device attribute container data structure and the device graph model container data structure are established, the device graph model establishing device for the three-dimensional power system inputs the relatively optimal device attribute determined according to the user-side device attribute and the device-side device attribute into the device attribute container data structure, establishes a graph model according to the relatively optimal device attribute, and inputs the graph model into the device graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
A computer storage medium having stored thereon computer instructions which, when executed by a processor, implement the three-dimensional power system graph model building method of any of the above embodiments.
After the device attribute container data structure and the device graph model container data structure are established, the computer storage medium determines the relatively optimal device attribute according to the user-side device attribute and the device-side device attribute and inputs the relatively optimal device attribute into the device attribute container data structure, establishes the graph model according to the relatively optimal device attribute and inputs the graph model into the device graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the three-dimensional power system graph model building method of any of the above embodiments when executing the program.
After the device attribute container data structure and the device graph model container data structure are established, the computer device determines the relatively optimal device attribute according to the user-side device attribute and the device-side device attribute and inputs the relatively optimal device attribute into the device attribute container data structure, establishes the graph model according to the relatively optimal device attribute and inputs the graph model into the device graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
Drawings
FIG. 1 is a flow chart of a method for building a three-dimensional power system model according to an embodiment;
FIG. 2 is a flow chart of a three-dimensional power system model building method according to another embodiment;
FIG. 3 is a flowchart of a three-dimensional power system model building method according to an embodiment;
fig. 4 is a block diagram of a three-dimensional power system model building apparatus according to an embodiment.
Detailed Description
For better understanding of the objects, technical solutions and effects of the present invention, the present invention will be further explained with reference to the accompanying drawings and examples. Meanwhile, the following described examples are only for explaining the present invention, and are not intended to limit the present invention.
The embodiment of the invention provides a method for establishing a three-dimensional power system graph model.
Fig. 1 is a flowchart of a method for creating a three-dimensional power system model according to an embodiment, and as shown in fig. 1, the method for creating a three-dimensional power system model according to an embodiment includes steps S100 to S104:
s100, establishing a device attribute container data structure and a device graph model container data structure;
the devices mentioned in this embodiment are operating devices in an electric power system, and include a transformer, an energy storage power supply, a switch, and the like. The device attribute container data structure and the device graph model container data structure are used for building a three-dimensional power system model, the device attribute container data structure is used for achieving data implementation according to device attributes, and the device graph model container data structure is used for achieving a three-dimensional power system graph model achieved based on the device attributes.
In one embodiment, the device attributes include dynamic attributes and static attributes;
the dynamic attributes include the charged state, the on-off state and the running state of the device.
The dynamic properties include the size, shape and color of the device.
The static attribute is the inherent attribute of the equipment in the power system, and the dynamic attribute is the attribute generated after the equipment runs or human-computer interaction. Wherein, the device attributes are all input in a parameter form and a container data structure.
S101, acquiring corresponding equipment attributes according to equipment types; the device attributes comprise user side device attributes and device side device attributes;
and the equipment attribute at the equipment side is an attribute determined by the equipment per se according to the running state or an attribute update. The user side equipment attribute is equipment attribute manually input by a user according to an interaction requirement or a graph model requirement. For example, according to a three-dimensional power system drawing model of a known switch, a switch handle is a fixed handle, a user designs a rotating handle according to interaction requirements, and the process of implementing the rotating handle as a drawing model requirement requires the user to input corresponding user-side equipment attributes.
In one embodiment, the device corresponds to a device identifier, and the user-side device attribute and the device-side device attribute update are identified to the same device according to the device identifier. The user side device attributes input by different users or at different moments can be determined to the corresponding devices according to the device identifiers. The attribute updating of the equipment at the equipment side at different moments can also be determined on the equipment corresponding to the values.
S102, determining a relatively optimal device attribute according to the user side device attribute and the device side device attribute;
the attribute of the user-side equipment comprises subjective factors, and the attribute of the equipment-side equipment comprises objective factors, so that the data input into the same equipment attribute container by the attribute of the user-side equipment and the attribute of the equipment-side equipment are easy to conflict, and the normal establishment of a three-dimensional power system graph model is influenced. The relatively optimal device attributes can be determined according to the user-side device attributes and the device-side device attributes through a weighting algorithm or a clustering algorithm.
In one embodiment, step S102 is a process of determining a relatively optimal device attribute according to the user-side device attribute and the device-side device attribute, as follows:
wherein U is an equipment attribute optimization function, deltatFor the device-side device attribute for device number j at time t,
for the user side equipment attribute of the user number i at the time t, lambda1、λ2Respectively a first scaling factor and a second scaling factor.
S103, inputting the relatively optimal equipment attribute into an equipment attribute container data structure;
and inputting the relatively optimal equipment attribute into an equipment attribute container data structure so as to establish configuration variables for the three-dimensional power system drawing model and define a drawing model establishing script. Drawing the graph mode object on the corresponding graph mode interface, defining the drawing color of the object according to the relative optimal equipment attribute, such as 'color', each relative optimal equipment attribute shares a series of defined variables, and an executable script corresponds to the variable. Color dynamic attributes are defined and the display color of the object is assigned according to the result of the script. If the script is not defined, the display is performed according to the color of the object when the object is drawn.
Meanwhile, the equipment attribute container data structure generates the fed back equipment attributes according to the actual operation of the three-dimensional power system graph model.
In one embodiment, fig. 2 is a flowchart of a three-dimensional power system graph model building method according to another embodiment, and as shown in fig. 2, before the process of inputting the relatively optimal device attributes into the device attribute container data structure in step S103, steps S200 and S201 are further included:
s200, comparing the relative optimal equipment attribute, the user side equipment attribute and the equipment side equipment attribute;
s201, when the relatively optimal equipment attribute, the user side equipment attribute and the equipment side equipment attribute are positively correlated, inputting the relatively optimal equipment attribute into an equipment attribute container data structure, and otherwise, discarding the relatively optimal equipment attribute.
By positive correlation measurement, the relatively optimal device attribute is detected before the device attribute container data structure is input, and the relatively optimal device attribute is prevented from being excessively deviated from the user-side device attribute and the device-side device attribute.
And S104, establishing a graph model according to the relatively optimal equipment attribute, and inputting the graph model into an equipment graph model container data structure.
And inputting the relatively optimal equipment attribute into an equipment attribute container data structure so as to establish configuration variables for the three-dimensional power system drawing model and define a drawing model establishing script. Based on the data structure of the equipment graph model container, drawing a graph model object on a corresponding graph model interface, defining what color is adopted for drawing the object according to the relative optimal equipment attribute, such as 'color', wherein each relative optimal equipment attribute shares a series of defined variables, and an executable script corresponds to the variable. Color dynamic attributes are defined and the display color of the object is assigned according to the result of the script. If the script is not defined, the display is performed according to the color of the object when the object is drawn.
In one embodiment, fig. 3 is a flowchart of a three-dimensional power system graph model establishing method according to yet another embodiment, and as shown in fig. 3, a process of establishing a device attribute container data structure and a device graph model container data structure in step S100 includes step S300:
s300, respectively establishing a dynamic mapping relation table to obtain an equipment attribute container data structure and an equipment graph model container data structure; the key values of the mapping relation table comprise device key values and user key values.
The device attribute container data structure and the device graph model container data structure are respectively corresponding to a mapping relation table, key values in the mapping relation table are used for representing the device and the device graph model, and the same key values indicate that the device and the device graph model are the same. The key values of the mapping relation table comprise device key values and user key values
In one embodiment, in order to facilitate calculation of the device attribute container data structure and the device graph model container data structure and key value differentiation, the device key value is a device type × 10000000+ device number, and the user key value is a user type × 10000000+ user number. The formatting of the key is determined by configuring the number and type for the device and the device user.
In the method for establishing a three-dimensional power system graph model according to any of the embodiments, after the device attribute container data structure and the device graph model container data structure are established, the relatively optimal device attribute determined according to the user-side device attribute and the device-side device attribute is input into the device attribute container data structure, the graph model is established according to the relatively optimal device attribute, and the graph model is input into the device graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
The embodiment of the invention also provides a device for establishing the three-dimensional power system graph model.
Fig. 4 is a block diagram of a three-dimensional power system model building apparatus according to an embodiment, and as shown in fig. 4, the three-dimensional power system model building apparatus according to an embodiment includes a module 100, a module 101, a module 102, a module 103, and a module 104:
a container establishing module 100, configured to establish a device property container data structure and a device graph model container data structure;
an attribute obtaining module 101, configured to obtain a corresponding device attribute according to a device type; the device attributes comprise user side device attributes and device side device attributes;
an optimal determining module 102, configured to determine a relatively optimal device attribute according to a user-side device attribute and a device-side device attribute;
an attribute input module 103, configured to input the relatively optimal device attribute into a device attribute container data structure;
and the graph model establishing module 104 is used for establishing a graph model according to the relatively optimal equipment attribute and inputting the graph model into the equipment graph model container data structure.
After the device attribute container data structure and the device graph model container data structure are established, the device graph model establishing device for the three-dimensional power system inputs the relatively optimal device attribute determined according to the user-side device attribute and the device-side device attribute into the device attribute container data structure, establishes a graph model according to the relatively optimal device attribute, and inputs the graph model into the device graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
The embodiment of the invention also provides a computer storage medium, on which computer instructions are stored, and when the instructions are executed by a processor, the method for establishing the three-dimensional power system graph model of any one of the embodiments is realized.
Those skilled in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Random Access Memory (RAM), a Read-only Memory (ROM), a magnetic disk, and an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a RAM, a ROM, a magnetic or optical disk, or various other media that can store program code.
Corresponding to the computer storage medium, in one embodiment, there is also provided a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any one of the three-dimensional power system graph model establishing methods in the embodiments.
After the device attribute container data structure and the device graph model container data structure are established, the computer device determines the relatively optimal device attribute according to the user side device attribute and the device side device attribute and inputs the relatively optimal device attribute into the device attribute container data structure, establishes the graph model according to the relatively optimal device attribute and inputs the graph model into the device graph model container data structure. Based on the method, the relatively optimal equipment attribute is comprehensively determined through the user side equipment attribute and the equipment side equipment attribute, the attribute input by user operation is prevented from being in conflict with the inherent attribute of equipment operation, the dynamic change of a three-dimensional power system graph model and interactive design is influenced, and the three-dimensional power system graph model is built and updated to be more suitable for the actual operation purpose of a power system.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A three-dimensional power system graph model establishing method is characterized by comprising the following steps:
establishing a device attribute container data structure and a device graph model container data structure;
acquiring corresponding equipment attributes according to the equipment types; the device attributes comprise user side device attributes and device side device attributes;
determining a relatively optimal device attribute according to the user side device attribute and the device side device attribute;
inputting the relatively optimal device attributes into the device attribute container data structure;
and establishing a graph model according to the relatively optimal equipment attribute, and inputting the graph model into the equipment graph model container data structure.
2. The method of claim 1, wherein the determining of the relatively optimal device attributes from the user-side device attributes and the device-side device attributes is performed as follows:
where Y is the equipment attribute optimization function, δtFor the device-side device attribute for device number j at time t,
for the user side equipment attribute of the user number i at the time t, lambda1、λ2Respectively a first scaling factor and a second scaling factor.
3. The three-dimensional power system drawing model building method of claim 1, further comprising, prior to said entering of said relatively optimal device attributes into said device attribute container data structure, the steps of:
comparing the relatively optimal equipment attribute, the user side equipment attribute and the equipment side equipment attribute;
and when the relatively optimal equipment attribute, the user side equipment attribute and the equipment side equipment attribute are positively correlated, inputting the relatively optimal equipment attribute into the equipment attribute container data structure, and otherwise, discarding the relatively optimal equipment attribute.
4. The method for creating the three-dimensional power system drawing model according to claim 1, wherein the process for creating the device property container data structure and the device drawing model container data structure comprises the steps of:
respectively establishing a dynamic mapping relation table to obtain the equipment attribute container data structure and the equipment graph model container data structure; and the key values of the mapping relation table comprise equipment key values and user key values.
5. The method according to claim 4, wherein the device key value is a device type × 10000000+ device number.
6. The method according to claim 4, wherein the user key value is a user type × 10000000+ user number.
7. The three-dimensional power system graph model building method according to any one of claims 1 to 6, wherein the device attributes include dynamic attributes and static attributes;
the dynamic attributes comprise the charged state, the on-off state and the running state of the equipment.
The static attributes include the size, shape and color of the device.
8. A three-dimensional power system graph model building device is characterized by comprising:
the container establishing module is used for establishing an equipment attribute container data structure and an equipment graph model container data structure;
the attribute acquisition module is used for acquiring corresponding equipment attributes according to the equipment types; the device attributes comprise user side device attributes and device side device attributes;
the optimal determining module is used for determining relatively optimal equipment attributes according to the user side equipment attributes and the equipment side equipment attributes;
an attribute input module for inputting the relatively optimal device attributes into the device attribute container data structure;
and the graph model establishing module is used for establishing a graph model according to the relatively optimal equipment attribute and inputting the graph model into the equipment graph model container data structure.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the three-dimensional power system drawing model establishing method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of building a three-dimensional power system model according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011382633.5A CN112489178A (en) | 2020-12-01 | 2020-12-01 | Three-dimensional power system graph model establishing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011382633.5A CN112489178A (en) | 2020-12-01 | 2020-12-01 | Three-dimensional power system graph model establishing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112489178A true CN112489178A (en) | 2021-03-12 |
Family
ID=74938621
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011382633.5A Pending CN112489178A (en) | 2020-12-01 | 2020-12-01 | Three-dimensional power system graph model establishing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112489178A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361095A (en) * | 2014-11-20 | 2015-02-18 | 国电南瑞科技股份有限公司 | Dual-system-based graph-model data management method for power distribution network |
| CN104808615A (en) * | 2015-03-03 | 2015-07-29 | 国家电网公司 | Method of automatically generating power device monitoring information table |
| CN105701271A (en) * | 2015-12-29 | 2016-06-22 | 中国电力科学研究院 | Creating and deleting method for device in electric power system graph/model hybrid simulation modeling |
| CN108512215A (en) * | 2017-12-30 | 2018-09-07 | 中国电力科学研究院有限公司 | Planing method is switched based on the power distribution network for promoting reliability |
| CN108737219A (en) * | 2018-06-19 | 2018-11-02 | 刘昱 | The measure and device of network link |
| CN109191572A (en) * | 2018-07-27 | 2019-01-11 | 中国地质大学（武汉） | A kind of three-dimensional geological model optimization method based on true value discovery |
| US20200285900A1 (en) * | 2019-03-06 | 2020-09-10 | Wuhan University | Power electronic circuit fault diagnosis method based on optimizing deep belief network |
-
2020
- 2020-12-01 CN CN202011382633.5A patent/CN112489178A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361095A (en) * | 2014-11-20 | 2015-02-18 | 国电南瑞科技股份有限公司 | Dual-system-based graph-model data management method for power distribution network |
| CN104808615A (en) * | 2015-03-03 | 2015-07-29 | 国家电网公司 | Method of automatically generating power device monitoring information table |
| CN105701271A (en) * | 2015-12-29 | 2016-06-22 | 中国电力科学研究院 | Creating and deleting method for device in electric power system graph/model hybrid simulation modeling |
| CN108512215A (en) * | 2017-12-30 | 2018-09-07 | 中国电力科学研究院有限公司 | Planing method is switched based on the power distribution network for promoting reliability |
| CN108737219A (en) * | 2018-06-19 | 2018-11-02 | 刘昱 | The measure and device of network link |
| CN109191572A (en) * | 2018-07-27 | 2019-01-11 | 中国地质大学（武汉） | A kind of three-dimensional geological model optimization method based on true value discovery |
| US20200285900A1 (en) * | 2019-03-06 | 2020-09-10 | Wuhan University | Power electronic circuit fault diagnosis method based on optimizing deep belief network |
Non-Patent Citations (3)
| Title |
|---|
| 朱付保: "基于数据挖掘的电力设备状态诊断系统建模", 中原工学院学报, vol. 26, no. 3, pages 85 - 89 * |
| 梁克靖;: "电力系统仿真软件DIgSILENT简介", 科技信息, no. 35 * |
| 郭飞;: "一种动态三维电力系统图模的设计和交互方法", 数码设计, no. 07 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104424512B (en) | Operation planning decision-making technique and operation planning decision system | |
| CN105843945A (en) | Report generation method and system | |
| CN116310148B (en) | Digital twin three-dimensional scene construction method, device, equipment and medium | |
| CN104346449A (en) | Data merging method and data merging device | |
| CN109583064B (en) | Circuit topology diagram generation method, system and device and storage medium | |
| CN114239237A (en) | Power distribution network simulation scene generation system and method supporting digital twinning | |
| CN113127697B (en) | Method and system for optimizing graph layout, electronic device and readable storage medium | |
| CN112489178A (en) | Three-dimensional power system graph model establishing method and device | |
| CN116231657B (en) | Global carbon flow distributed determination method and device for transmission and distribution network | |
| CN112836807A (en) | Data processing method and device based on neural network | |
| CN115833118B (en) | Power distribution switch control method and system for power equipment | |
| CN106789332A (en) | Computer room visualized management operation platform and method | |
| CN111915063A (en) | Power supply path network topology analysis display method, system and storage medium based on micro-service architecture | |
| CN111145045A (en) | VaR-considered power large user flexible load assessment method and system | |
| CN112835647B (en) | Application software configuration method, configuration device, storage medium and electronic device | |
| CN112434019B (en) | Historical electric quantity traceability cleaning method and power system applied to user change relation change | |
| CN114861678A (en) | Method and apparatus for determining time information, storage medium, and electronic apparatus | |
| CN113190946A (en) | Method and related device for displaying switch information by distribution network line distribution diagram | |
| CN109586274A (en) | A kind of power grid stability control device Policy Table analyses and comparison system | |
| CN112163709B (en) | Method and device for electricity utilization promotion, storage medium, and electronic device | |
| CN104777765B (en) | Intelligent management, equipment and intelligence system | |
| CN110046392A (en) | Computer room power distribution simulation page generation method and relevant device | |
| CN113343409B (en) | Visual configuration method and device based on virtual equipment | |
| Yang et al. | Research on the robot grinding and polishing production line interface design based on theory of ad | |
| CN114070744B (en) | Node coordinate generation method, device, equipment and medium of network topology |
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 |