CN115062493A - Special digital twin system for continuous operation test of secondary equipment of power grid and construction method - Google Patents
Special digital twin system for continuous operation test of secondary equipment of power grid and construction method Download PDFInfo
- Publication number
- CN115062493A CN115062493A CN202210870415.9A CN202210870415A CN115062493A CN 115062493 A CN115062493 A CN 115062493A CN 202210870415 A CN202210870415 A CN 202210870415A CN 115062493 A CN115062493 A CN 115062493A
- Authority
- CN
- China
- Prior art keywords
- data
- power grid
- model
- digital twin
- equipment
- 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
Images
Classifications
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a special digital twinning system for a power grid secondary equipment continuous operation laboratory test and a construction method, and relates to the technical field of power grid fault monitoring. Establishing a digital twin 3D model of each module of the secondary equipment of the power grid; collecting test data of secondary equipment of a power grid; data linkage 3D model WEB display; when the real-time state data exceeds the normal operation parameter range of the secondary equipment of the power grid, the real-time state data, the mails and the micro messages are integrated to send alarm information, the problems of the field equipment are predicted, and a countermeasure is provided; and inputting simulation data of equipment states under different working conditions for simulation, and checking the simulation running conditions of the equipment under normal and abnormal states on a 3D visualization platform. According to the invention, the parameters of the 3D simulation model are dynamically adjusted, the reproduction of faults is accelerated, the verification of the long-term working performance of software and hardware of a test product is realized, and the guarantee is provided for the improvement of the product quality.
Description
Technical Field
The invention relates to the technical field of power grid fault monitoring, in particular to a special digital twinning system for continuous operation laboratory testing of power grid secondary equipment and a construction method.
Background
The digital twin is a simulation process integrating multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities by fully utilizing data such as a physical model, sensor updating and operation history, and mapping is completed in a virtual space, so that the full life cycle process of corresponding entity equipment is reflected. The digital twin is a generally-adapted theoretical technical system, and with the development and wide application of a new generation of information technology, the application range of the digital twin is continuously expanded. In brief, the digital twin system is to construct a completely consistent corresponding model in the digital world for an entity object in the real world, and dynamically simulate, monitor, analyze and control the entity object by a digital means.
Chinese patent document CN112365167A discloses a "dynamic ontology model-based method and apparatus for constructing a digital twin of a power grid device", which mainly includes: loading a logic model and an ontology model of the power grid equipment; performing internal data alignment and synchronous processing on the body model and the logic model to generate a current logic model of the power grid equipment; collecting source service system data, updating internal logic data of the current logic model by combining the source service system data, and generating an initialized digital twin model of the power grid equipment; and analyzing and judging the real-time state change of the initialized digital twin model based on a composite event processing technology, and driving the internal body model to update by triggering related events to generate the digital twin model of the power grid equipment. The twin model in the technical scheme is constructed for monitoring the whole life cycle of the power grid equipment in real time, and the application range is the after-sale link of the power grid equipment. According to the scheme, only simulation of the power grid equipment is focused and monitored in real time, the acceleration of fault recurrence by dynamically adjusting the parameters of the 3D model cannot be realized, unknown equipment problems cannot be predicted, and the method is relatively single in function and narrow in application range.
In the existing continuous operation power grid secondary equipment continuous operation laboratory, test data is displayed in a table mode, abnormal conditions can be obtained only by manual operation for a long time, and the abnormal conditions cannot be reproduced. The existing modeling techniques mainly include the following types: 1) establishing a geometric model based on OpenGL software: developing from the bottom layer by using a programming language such as C/C + +; 2) some commercial virtual engine technologies: the Creator module and the Vega module of a MultiGen software platform are commonly used for modeling and simulation, but the main problems of the existing modeling technology are as follows: 1) depending on higher hardware conditions and software environments, large-scale digital simulation projects often have higher requirements on the accuracy of models, need a large amount of developers and capital support, and have very strict requirements on hardware due to large-scale transmission and storage of vector data and calculation of data; 2) the method is dependent on business software and lacks of autonomous flexibility, the existing business software is obviously improved in simulation performance, but the business software is not sustainable after all with the purpose of profit; 3) the existing twin system platform is usually concentrated in the modeling process, lacks data linkage, is not researched on simulation, and is not a digital twin system in the true sense.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method overcomes the defects in the prior art, applies the analog simulation technology of the digital twin system to the operation test process of a continuous operation laboratory, and provides the special digital twin system for the continuous operation laboratory test of the secondary equipment of the power grid and the construction method thereof.
The technical scheme for solving the technical problems is as follows:
a construction method of a special digital twin system for a power grid secondary equipment continuous operation laboratory test is characterized by comprising the following steps:
s1, establishing a digital twin 3D model of each module of the power grid secondary equipment in a continuous operation laboratory;
s2, collecting test data of the secondary equipment of the power grid;
s3, carrying out data linkage 3D model WEB display, and displaying the real-time state of each device in a browser;
s4, when the real-time state data exceeds the normal operation parameter range of the secondary equipment of the power grid, the real-time state data, the mails and the WeChat are integrated to send warning information, the problems of the field equipment are predicted, and corresponding measures are provided;
and S5, inputting simulation data of equipment states under different working conditions for simulation, and checking the simulation running conditions of the equipment under normal and abnormal states on the 3D visualization platform.
As a further improvement of the present invention, based on step S1, the establishing of the digital twin 3D model of each module of the secondary equipment of the power grid in the continuous operation laboratory includes: s1.1, carrying out digital modeling and 3D rendering on the components to form a digital twin model of the components and form a basic component library; s1.2, importing the digital twin model of the continuous operation laboratory into a visual platform, and setting parameters and a display mode to be accessed.
As a further improvement of the present invention, based on step S1, the digital modeling and 3D rendering of the component includes: s1.1.1 common attribute features of abstract models. Establishing a data model of the power grid secondary equipment according to the attributes of size, color, shape, type of internally installed equipment and the like; s1.1.2 caching model data based on Redis, using the characteristic ID information of the model as Key information, and associating the attributes of the mapping model; s1.1.3 three.js-based rendering engine; s1.1.4 adopts a mixed algorithm combining K-D tree and octree, and the octree is used for large-granularity division and search firstly, and then the K-D tree is used for subdivision.
As a further improvement of the present invention, based on step S2, the acquiring test data of the power grid secondary device includes: s2.1, data acquisition is carried out according to the global universal IEC61850 standard in the field of power system automation; s2.2, collecting data by using a DF8003C system, and uploading the data to a continuously-operated laboratory digital twin system in real time; s2.3 data is sent in Json format files.
As a further improvement of the present invention, based on step S2, the DF8003C system includes: s2.2.1 collecting real-time data in a continuous operation laboratory according to information such as equipment model, voltage, current and the like defined in the power secondary equipment model; s2.2.2, transmitting the acquired data to a digital twin model in real time by adopting a Websocket full-duplex communication mode; s2.2.3 analyzing the self-defined attribute in the digital twin model, generating instrument data such as indicator light, voltmeter, ammeter, etc., and associating the status of the instrument with the monitoring data through configuration; s2.2.4, the association of the 3D model and the real-time data is realized by adopting a visual configuration mode, and the running state of each device is shown in the digital twin model in real time.
As a further improvement of the present invention, based on step S4, the predicting the field device problem and proposing a countermeasure includes: s4.1, dynamically adjusting parameters of a 3D simulation model through digital twin simulation of a continuous operation laboratory, and accelerating the reproduction of faults; s4.2, a coping strategy is provided for the faults occurring in the simulation operation process, and the faults which may occur are eliminated by replacing hardware or upgrading software.
As a further improvement of the present invention, based on step S5, the inputting of device state simulation data for different operating conditions includes: s5.1, pressurizing and electrifying, adjusting current and voltage, closing an air conditioner, and accelerating the change process of chips or welding of the electronic product caused by stress change under the condition that the temperature is changed violently and is harsher than the actual working condition; and S5.2, calculating an alarm threshold in real time through machine learning, and making an extreme effect graph of the particle-based smoke effect simulation electronic component in the digital twin model.
The invention also provides a special digital twinning system for the continuous operation laboratory test of the secondary equipment of the power grid, which comprises the following components:
the M1 model base building module is used for building a digital twin model base of a continuous operation laboratory and storing a digital twin 3D model of the power grid secondary equipment;
the M2 data acquisition module is used for acquiring test data of the secondary equipment of the power grid;
the M3 real-time monitoring module is used for displaying data in a linkage 3D model WEB mode and displaying all equipment and real-time states in a browser;
the M4 strategy early warning module is integrated with mails and WeChat when the real-time state data exceed the normal operation parameter range of the secondary equipment of the power grid, sends warning information and provides a coping strategy;
and the M5 simulation module inputs simulation data of equipment in different working condition states to realize simulation of different working condition states.
As a further improvement of the present invention, the grid secondary device includes: telecontrol communication cabinet, power cabinet, intelligent control cabinet, protection measurement and control cabinet, network analysis recorder cabinet, line protection measurement and control cabinet.
The invention has the beneficial effects that:
1. a special digital twin system for laboratory test is continuously operated by secondary equipment of a power grid to provide a long-term operation environment for company products, so that the product test operation effect is improved, the verification of the long-term working performance of software and hardware of the products is increased, and the improvement of the product quality is guaranteed;
2. the method is characterized in that high-extensible simulation three-dimensional modeling is carried out on a digital twin object by using an open-source software Blender modeling tool, and a ThreeJS light-weight three-dimensional rendering engine technology is combined, so that the combination of a real monitoring picture and a simulation three-dimensional rendering page in a WebGL scene is realized, more visual and reliable interactive experience is provided, and the capabilities of operation control, efficiency analysis, risk early warning and the like in industrial production and operation scenes are greatly improved;
3. the method has the advantages that the parameters of the 3D simulation model are dynamically adjusted through digital twin simulation special for continuous operation laboratory testing, the reappearance of faults is accelerated, preventive measures can be provided for other products of customer sites and goods supply once the faults are found, and the faults are solved under the condition that the customers do not feel through the preventive measures, hardware replacement or software upgrading.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for constructing a digital twin system dedicated for continuous operation laboratory testing of secondary equipment of a power grid in an embodiment of the invention;
fig. 2 is a schematic structural composition diagram of a digital twinning system special for laboratory test of continuous operation of power grid secondary equipment in the embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the following description is merely exemplary and exemplary in nature and is in no way intended to limit the invention, its application, or uses, and the relative positions of components and steps, numerical expressions, and numerical values set forth in the embodiments do not limit the scope of the invention unless it is specifically stated otherwise. Additionally, techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail but are intended to be part of the specification where appropriate.
Fig. 1 illustrates a general flowchart of a method for constructing a digital twin system dedicated for continuous operation laboratory testing of a power grid secondary device according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
s1, establishing a digital twin 3D model of each module of the power grid secondary equipment in a continuous operation laboratory;
s2, collecting real-time state data of each module;
s3, displaying the data linkage 3D model WEB, and displaying the real-time state of each device in a browser;
s4, when the real-time state data exceeds the normal operation parameter range of the secondary equipment of the power grid, the real-time state data, the mails and the WeChat are integrated to send warning information, the problems of the field equipment are predicted, and corresponding measures are provided;
and S5, inputting simulation data of equipment states under different working conditions for simulation, and checking the simulation running conditions of the equipment under normal and abnormal states on the 3D visualization platform.
As can be seen from the flowchart shown in fig. 1, the method for constructing the digital twin system in the embodiment of the present invention applies the digital twin technology to the full life cycle process of the secondary devices of the power grid in the continuously operating laboratory, dynamically adjusts parameters of the 3D simulation model, accelerates the recurrence of the fault, predicts the problems of the field devices, and once the fault is found, can provide preventive measures for the field of the customer and other products for supply.
The traditional modeling method is an equal-proportion reduction of the real world, and when the model is huge, the model is loaded slowly and occupies higher system resources. The invention carries out relevant optimization, improves the loading efficiency of the model, occupies lower system resources, can easily run on a common PC computer without blockage, in a preferred embodiment, in step S1, a blend 3D modeling tool is used, the Python script of the blend is used to customize the application and write a special tool, the blend is an open-source cross-platform full-function three-dimensional animation software, a series of short-cut animation solutions from modeling, animation, material, rendering, audio processing, video clipping and the like are provided, the loading speed of the model is optimized through the Python script algorithm, the traditional modeling method depends on higher hardware conditions and software environments, large-scale digital simulation projects often have higher requirements on the accuracy of models, and the requirements on hardware are very strict for large-scale vector data transmission and storage and data calculation. The embodiment of the invention is realized in the following specific way:
common attribute features of the abstract models. Establishing a data model of the power secondary equipment according to attributes such as size, color, shape, and type of the internally installed equipment;
based on Redis cache model data, the attribute of the mapping model is associated according to the characteristic ID information of the model as Key Key information, because Redis is very fast, Setting (SET) operation of about 110000 times can be executed per second, and reading/obtaining (GET) operation of about 81000 times can be executed per second, the loading speed of the model is further improved from the aspect of performance;
js-based rendering engine. And under the condition that the performance of hardware equipment such as a CPU (Central processing Unit), a display card and the like is certain, performing performance optimization on the thread. The rendering speed is improved through mesh simplification, scene cutting and the like, in addition, if the geometric body or the material can be shared by different power equipment models, a sharing mode is adopted, if the geometric body or the material cannot be shared by the two power equipment models, the two power equipment models do not need to be shared naturally, for example, the material colors of the two power equipment models are different, and under the condition, a material object is generally created for the power equipment models respectively.
A hybrid algorithm combining a K-D tree and an octree is used. The octree is used for dividing and searching large granularity firstly, then the K-D tree is used for subdividing, and after the mixed algorithm is adopted, the efficiency can be obviously improved.
In a preferred embodiment of the present invention, the acquiring real-time status data of each module of the power grid secondary device in step S2 includes the following steps:
data acquisition is carried out according to the global universal IEC61850 standard in the field of power system automation;
a DF8003C system is used for data acquisition, and data are uploaded to a continuously-operated laboratory digital twin system in real time; the DF8003C system, comprising: acquiring real-time data in a continuous operation laboratory according to information such as equipment models, voltages, currents and the like defined in the power secondary equipment model; the method has the advantages that the Websocket full-duplex communication mode is adopted, the acquired data are transmitted to the digital twin model in real time, and compared with the http long-chain communication mode, the method can reduce the pressure of a server, reduce partial redundant information in the information and save the bandwidth; analyzing the custom attributes in the digital twin model, generating instrument data such as indicator lamps, voltmeters, ammeters and the like, and associating the states of the instruments with the monitoring data through configuration; and realizing the association between the 3D model and the real-time data by adopting a visual configuration mode, and displaying the running state of each device in real time in the digital twin model.
In a preferred embodiment of the present invention, the predicting the field device problem and proposing the countermeasure in step S4 includes: dynamically adjusting parameters of a 3D simulation model by simulating digital twins of a continuous operation laboratory, and accelerating the reproduction of faults; and a coping strategy is provided for faults occurring in the simulation operation process, and the faults which may occur are eliminated by replacing hardware or upgrading software.
In a preferred embodiment of the present invention, in step S5, the input of device state simulation data under different operating conditions, including but not limited to parameter data such as voltage, current, and time, is performed by simulation, and the simulated operation conditions of the devices under normal and abnormal conditions are checked on the 3D visualization platform, and the problems of the field devices are predicted by comparing historical fault data of the secondary devices in the power grid. In specific implementation, the method comprises the following steps:
pressurizing and electrifying, regulating current and voltage, closing an air conditioner, and accelerating the change process of some chips or welding of an electronic product caused by stress change and the occurrence of faults under severe temperature change, including but not limited to the working conditions;
and calculating an alarm threshold in real time through machine learning, and making an extreme effect graph of the particle-based smoke effect simulation electronic component in the digital twin model.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (9)
1. A construction method of a special digital twin system for continuous operation test of secondary equipment of a power grid is characterized by comprising the following steps:
s1, establishing a digital twin 3D model of each module of the power grid secondary equipment in a continuous operation laboratory;
s2, collecting test data of the secondary equipment of the power grid;
s3, carrying out data linkage 3D model WEB display, and displaying the real-time state of each device in a browser;
s4, when the real-time state data exceeds the normal operation parameter range of the secondary equipment of the power grid, the real-time state data, the mails and the WeChat are integrated to send warning information, the problems of the field equipment are predicted, and corresponding measures are provided;
and S5, inputting device state simulation data under different working conditions for simulation, and checking the simulation running conditions of the device under normal and abnormal states on the 3D visualization platform.
2. The method for constructing the digital twin system special for the continuous operation test of the secondary equipment of the power grid according to claim 1, wherein the establishing of the digital twin 3D model of each module of the secondary equipment of the power grid in a continuous operation laboratory comprises the following steps:
s1.1, carrying out digital modeling and 3D rendering on the components to form a digital twin 3D model of the components and construct a basic component library;
s1.2, importing the digital twin model of the continuous operation laboratory into a visual platform, and setting parameters and a display mode to be accessed.
3. The method for constructing the digital twin system special for the continuous operation test of the secondary equipment of the power grid as claimed in claim 2, wherein the digital modeling and 3D rendering of the components comprise
S1.1.1 common attribute features of abstract models. Establishing a data model of the power secondary equipment according to attributes such as size, color, shape, and type of the internally installed equipment;
s1.1.2 caching model data based on Redis, and associating attributes of the mapping model with the characteristic ID information of the model as Key information;
s1.1.3 three.js-based rendering engine;
s1.1.4 adopts a mixed algorithm combining K-D tree and octree, and the octree is used for large-granularity division and search firstly, and then the K-D tree is used for subdivision.
4. The method for constructing the digital twin system special for the continuous operation test of the secondary equipment of the power grid according to claim 1, wherein the step of collecting test data of the secondary equipment of the power grid comprises the following steps:
s2.1, data acquisition is carried out according to the global universal IEC61850 standard in the field of power system automation;
s2.2, collecting data by using a DF8003C system, and uploading the data to a continuously-operated laboratory digital twin system in real time;
s2.3 data is sent in Json format files.
5. The method for constructing the digital twin system special for the continuous operation test of the secondary equipment of the power grid according to claim 4, wherein the DF8003C system comprises:
s2.2.1 collecting real-time data in a continuous operation laboratory according to information such as equipment model, voltage, current and the like defined in the power secondary equipment model;
s2.2.2, transmitting the collected data to a digital twin model in real time by adopting a Websocket full-duplex communication mode;
s2.2.3 analyzing the self-defined attribute in the digital twin model, generating instrument data such as indicator light, voltmeter, ammeter, etc., and associating the status of the instrument with the monitoring data through configuration;
s2.2.4, the association of the 3D model and the real-time data is realized by adopting a visual configuration mode, and the running state of each device is shown in the digital twin model in real time.
6. The method for constructing the digital twin system special for the continuous operation test of the secondary equipment of the power grid according to claim 1, wherein the predicting of the problems of the field equipment and the proposing of the countermeasure comprise:
s4.1, dynamically adjusting parameters of a 3D simulation model through digital twin simulation of a continuous operation laboratory, and accelerating the reproduction of faults;
s4.2, a coping strategy is provided for the faults occurring in the simulation operation process, and the faults which may occur are eliminated by replacing hardware or upgrading software.
7. The method for constructing the digital twin system special for the continuous operation test of the secondary equipment of the power grid according to claim 1, wherein the step of inputting the state simulation data of the equipment under different working conditions comprises the following steps:
s5.1, pressurizing and electrifying, adjusting current and voltage, closing an air conditioner, and accelerating the change process of chips or welding of the electronic product caused by stress change under the condition that the temperature is changed violently and is harsher than the actual working condition;
and S5.2, calculating an alarm threshold in real time through machine learning, and making an extreme effect graph of the particle-based smoke effect simulation electronic component in the digital twin model.
8. A special digital twin system for continuous operation test of secondary equipment of a power grid is characterized in that: comprises that
The M1 model base building module is used for building a digital twin model base of a continuous operation laboratory and storing a digital twin 3D model of the power grid secondary equipment;
the M2 data acquisition module is used for acquiring test data of the secondary equipment of the power grid;
the M3 real-time monitoring module is used for displaying data in a linkage 3D model WEB mode and displaying all equipment and real-time states in a browser;
the M4 strategy early warning module is integrated with mails and WeChat when the real-time state data exceed the normal operation parameter range of the secondary equipment of the power grid, sends warning information and provides a coping strategy;
and the M5 simulation module inputs simulation data of equipment states under different working conditions to realize simulation of the equipment states under different working conditions.
9. The special digital twin system for continuous operation test of power grid secondary equipment according to claim 8, wherein the power grid secondary equipment comprises a telecontrol communication cabinet, a power supply cabinet, an intelligent control cabinet, a protection measurement and control cabinet, a network analysis recorder cabinet and a line protection measurement and control cabinet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210870415.9A CN115062493A (en) | 2022-07-22 | 2022-07-22 | Special digital twin system for continuous operation test of secondary equipment of power grid and construction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210870415.9A CN115062493A (en) | 2022-07-22 | 2022-07-22 | Special digital twin system for continuous operation test of secondary equipment of power grid and construction method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115062493A true CN115062493A (en) | 2022-09-16 |
Family
ID=83206892
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210870415.9A Pending CN115062493A (en) | 2022-07-22 | 2022-07-22 | Special digital twin system for continuous operation test of secondary equipment of power grid and construction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115062493A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115665213A (en) * | 2022-12-28 | 2023-01-31 | 佛山电力设计院有限公司 | Digital twin system of new equipment on-line commissioning base |
| CN116596518A (en) * | 2023-07-17 | 2023-08-15 | 南京上古网络科技有限公司 | Digital twinning-based power grid fault hidden danger management system and method |
| CN116861834A (en) * | 2023-08-31 | 2023-10-10 | 北京松岛菱电电力工程有限公司 | Power installation testing method and system |
| CN117391310A (en) * | 2023-12-04 | 2024-01-12 | 南京瀚元科技有限公司 | Power grid equipment operation state prediction and optimization method based on digital twin technology |
-
2022
- 2022-07-22 CN CN202210870415.9A patent/CN115062493A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115665213A (en) * | 2022-12-28 | 2023-01-31 | 佛山电力设计院有限公司 | Digital twin system of new equipment on-line commissioning base |
| CN115665213B (en) * | 2022-12-28 | 2023-03-10 | 佛山电力设计院有限公司 | Digital twin system of new equipment on-line commissioning base |
| CN116596518A (en) * | 2023-07-17 | 2023-08-15 | 南京上古网络科技有限公司 | Digital twinning-based power grid fault hidden danger management system and method |
| CN116596518B (en) * | 2023-07-17 | 2023-09-19 | 南京上古网络科技有限公司 | Digital twinning-based power grid fault hidden danger management system and method |
| CN116861834A (en) * | 2023-08-31 | 2023-10-10 | 北京松岛菱电电力工程有限公司 | Power installation testing method and system |
| CN116861834B (en) * | 2023-08-31 | 2023-12-29 | 北京松岛菱电电力工程有限公司 | Power installation testing method and system |
| CN117391310A (en) * | 2023-12-04 | 2024-01-12 | 南京瀚元科技有限公司 | Power grid equipment operation state prediction and optimization method based on digital twin technology |
| CN117391310B (en) * | 2023-12-04 | 2024-03-08 | 南京瀚元科技有限公司 | Power grid equipment operation state prediction and optimization method based on digital twin technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115062493A (en) | Special digital twin system for continuous operation test of secondary equipment of power grid and construction method | |
| CN107085415B (en) | Rule builder in a process control network | |
| US10962999B2 (en) | Microgrid model based automated real time simulation for market based electric power system optimization | |
| US8155908B2 (en) | Systems and methods for real-time system monitoring and predictive analysis | |
| US8401833B2 (en) | Method for predicting power usage effectiveness and data center infrastructure efficiency within a real-time monitoring system | |
| CN108919765A (en) | A kind of the intelligence manufacture factory Virtual Debugging and virtual monitor method and method twin based on number | |
| US6404437B1 (en) | Nuclear reactor core performance data visualization system | |
| CN108022039B (en) | Transformer substation simulation training system based on augmented reality | |
| CN113379196A (en) | Transformer equipment management evaluation system based on digital twin technology | |
| CN115438726A (en) | Device life and fault type prediction method and system based on digital twin technology | |
| CN113946952A (en) | Method and device for generating fan twin body and electronic equipment | |
| CN111652760B (en) | Power grid operation and maintenance virtual reality simulation system and simulation method | |
| CN112633822A (en) | Asset management method based on digital twin technology, storage medium and mobile terminal | |
| CN107908393B (en) | Method for designing SCADA real-time model picture | |
| Schilberg et al. | Virtual Production-The connection of the modules through the Virtual Production Intelligence | |
| Himmler | Openness requirements for next generation hardware-in-the-loop testing systems | |
| CN112764396B (en) | Configuration method and device | |
| Wu et al. | Application and Development Prospect of Monitoring Screen based on Three. js Unit Equipment Control System | |
| US20230061033A1 (en) | Information processing device, calculation method, and computer-readable recording medium | |
| US20230065835A1 (en) | Information processing device, evaluation method, and computer-readable recording medium | |
| CN117992345A (en) | Vehicle-mounted multimedia automatic test system based on Internet of things | |
| Di Giorgio et al. | Virtual reality in satellite integration and testing | |
| Giannini et al. | A Real-time Dynamic Model in VR Environments: A Case Study | |
| Chao et al. | Visual Monitoring Method of Digital Computer Room Based on Digital Twin | |
| CN116579241A (en) | Digital twin simulation method of ship lubricating oil system |
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 |