Method, device and equipment for constructing digital twins for quality detection of intelligent power distribution terminals
By building digital twin object categories on smart power distribution terminals and detection platforms, the problem of low level of detection automation of smart power distribution terminals is solved, real-time data interaction and three-dimensional reconstruction are realized, and detection accuracy and automation are improved.
Patent Information
- Application Number
- CN202111129267.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-09-26
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2041-09-26
AI Technical Summary
The existing intelligent power distribution terminal detection technology has low automation level, low detection efficiency, high cost, and it is difficult to achieve data interaction between physical entities and virtual entities during terminal research and development.
Build a digital twin for quality detection of intelligent power distribution terminals. By creating digital twin object classes on intelligent power distribution terminals and detection platforms, it is given protocol consistency test object classes, performance test object classes and remote signal remote control classes, real-time data interaction and dynamic information capture, and combined with three-dimensional reconstruction and status display, it improves detection accuracy.
It realizes accurate detection of the quality of smart distribution terminals, reduces detection risks and errors, improves automation level, and supports the full inspection needs of large-scale terminals.
Smart Images

Figure CN113917258B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of power distribution terminal technology, and specifically to a method for constructing a digital twin for quality detection of an intelligent power distribution terminal, a device for constructing a digital twin for quality detection of an intelligent power distribution terminal, a method and equipment for constructing a digital twin for quality detection of an intelligent power distribution terminal, a digital twin system for quality detection of an intelligent power distribution terminal, and corresponding storage media. Background Art
[0002] The testing system for intelligent power distribution terminals primarily consists of a master test station, a three-phase standard meter, a three-phase power source, a DC standard meter, a DC signal source, a state simulator, a control execution indicator, and a test sample. The master test station enables remote signaling, telemetry, remote control, and parameter configuration management for intelligent power distribution terminals. However, distribution automation terminal equipment currently comes from numerous manufacturers, with varying quality levels, hindering unified management.
[0003] Currently, testing of intelligent power distribution terminals, both domestically and internationally, primarily involves manual handling, wiring, metering, reading records, and judging test results. While some domestic testing of fault indicators utilizes a semi-manual, semi-robotic arm method, which has slightly improved automation, it still requires significant human involvement, resulting in low testing efficiency, high costs, and safety risks. The level of automation is very limited, and the overall level of control over the testing process is low, making it difficult to meet the full inspection needs of large-scale distribution automation terminals. Traditional testing technology for intelligent power distribution terminals primarily relies on comparisons against pre-set standard values, failing to consider the data exchange between physical and virtual entities during terminal development and after commissioning. Summary of the Invention
[0004] The purpose of the embodiments of the present invention is to provide a method, device and equipment for constructing a digital twin for quality inspection of intelligent distribution terminals. By implementing digital twin technology, the quality of each intelligent distribution terminal can be accurately projected, so as to solve the problems of limited automation level in quality inspection of intelligent distribution terminals and low level of control over the entire inspection process in the existing technology.
[0005] To achieve the above objectives, the first aspect of the present invention provides a method for constructing a digital twin for quality detection of an intelligent power distribution terminal, which is applied to an intelligent power distribution terminal and a detection platform communicatively coupled with the intelligent power distribution terminal. The construction method includes:
[0006] A digital twin object class is created on both the intelligent distribution terminal and the detection platform, and the following sub-object classes are assigned to the digital twin object class: at least one of a protocol consistency test object class, a performance test object class, and a telesignaling and remote control class; the protocol consistency test object class is used to perform protocol consistency testing; the performance test object class is used to perform performance testing; and the telesignaling and remote control class is used to perform telesignaling and remote control testing.
[0007] Preferably, the digital twin object class is an empty object class and includes attribute information.
[0008] Preferably, the digital twin object class and the sub-object classes under the digital twin object class all run on a container of an embedded operating system.
[0009] Preferably, the digital twin object class on the detection platform also includes the following sub-object classes: a three-dimensional graphics object class; the three-dimensional graphics object class is used to perform three-dimensional reconstruction and status display of the intelligent distribution terminal.
[0010] Preferably, the three-dimensional reconstruction of the three-dimensional graphic object class includes: scanning the intelligent distribution terminal from different positions and angles; obtaining the three-dimensional point cloud data of the intelligent distribution terminal and processing it, and the processing includes at least one of filtering, classification and edge extraction; and performing three-dimensional reconstruction of the intelligent distribution terminal based on the processed three-dimensional point cloud data to obtain three-dimensional visual data for display.
[0011] Preferably, the three-dimensional graphic object class is further configured to: perform different status displays according to at least one of the test results of the protocol consistency test object class, the performance test object class and the telesignaling and remote control class; the different status displays include at least one of distorted display, colored display or text prompts.
[0012] Preferably, the test results of the protocol consistency test object class, performance test object class and telesignaling and remote control class are also used to: be integrated with the operating condition data of the intelligent distribution terminal, and the integrated data is used to determine the probability of failure of the intelligent distribution terminal.
[0013] In the second aspect of the present invention, a digital twin construction device for quality detection of intelligent distribution terminals is also provided, including: a digital twin object class construction module, used to create digital twin object classes on both the intelligent distribution terminal and the detection platform; a sub-object class construction module, used to construct a sub-object class under the digital twin object class; the sub-object class includes at least one of a protocol consistency test object class, a performance test object class and a telesignaling and remote control class; the protocol consistency test object class is used to perform protocol consistency testing; the performance test object class is used to perform performance testing; and the telesignaling and remote control class is used to perform telesignaling and remote control testing.
[0014] In the third aspect of the present invention, a device for constructing a digital twin for quality detection of an intelligent distribution terminal is also provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the aforementioned method for constructing a digital twin for quality detection of an intelligent distribution terminal are implemented.
[0015] In the fourth aspect of the present invention, a digital twin system for quality detection of intelligent distribution terminals is also provided, including: the intelligent distribution terminal and the detection platform both include digital twins for quality detection, and the digital twins are constructed using the aforementioned method for constructing digital twins for quality detection of intelligent distribution terminals.
[0016] Preferably, the digital twin system further includes a database, which is communicatively coupled to the detection platform and is used to store real-time data, historical data and three-dimensional visual data of virtual-reality interaction of the smart distribution terminal.
[0017] Preferably, the intelligent power distribution terminal includes: a communication module, a core board, a power board, an AC / DC analog input interface, a state input interface and a control output interface; the intelligent power distribution terminal also includes an embedded operating system, a container platform and a software APP.
[0018] In the fifth aspect of the present invention, a computer-readable storage medium is also provided, in which instructions are stored. When the storage medium is run on a computer, the computer executes the aforementioned method for constructing a digital twin for quality detection of intelligent distribution terminals.
[0019] A sixth aspect of the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the aforementioned method for constructing a digital twin for quality detection of intelligent distribution terminals.
[0020] The above technical solution has the following beneficial effects: it provides a digital twin construction method for quality detection of intelligent distribution terminals. Through real-time intelligent perception and data interaction, the digital twin constructed on the intelligent distribution terminal side can interact with the platform where the upper-level digital twin is located, and can capture the dynamic information of the changes in the intelligent distribution terminal entity, better display the equipment detection details of the intelligent distribution terminal, and timely feedback to the digital twin virtual entity for recording and correction. Through calculation and verification, the risk is reduced and the error is reduced. Through dynamic evaluation and virtual-real synchronization, the quality of each intelligent distribution terminal is accurately projected, and the accurate detection of the quality of the intelligent distribution terminal is achieved.
[0021] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present invention, but do not constitute a limitation of the embodiments of the present invention. In the accompanying drawings:
[0023] Figure 1 The following schematically illustrates an implementation diagram of a method for constructing a digital twin for quality detection of an intelligent power distribution terminal according to an embodiment of the present invention;
[0024] Figure 2 The figure schematically shows the structure of a device for constructing a digital twin for quality detection of an intelligent power distribution terminal according to an embodiment of the present invention;
[0025] Figure 3 The figure schematically shows the structure of the digital twin system for quality detection of intelligent power distribution terminals according to an embodiment of the present invention. DETAILED DESCRIPTION
[0026] The following describes the specific implementation of the embodiment of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiment of the present invention and is not used to limit the embodiment of the present invention.
[0027] Figure 1 The following schematically shows an implementation diagram of a method for constructing a digital twin for quality detection of an intelligent power distribution terminal according to an embodiment of the present invention. Figure 1 As shown, this embodiment provides a method for constructing a digital twin for quality detection of an intelligent power distribution terminal, which is applied to the intelligent power distribution terminal and a detection platform communicatively coupled with the intelligent power distribution terminal. The construction method includes:
[0028] A digital twin object class is created on both the intelligent distribution terminal and the detection platform, and the following sub-object classes are assigned to the digital twin object class: at least one of a protocol consistency test object class, a performance test object class, and a telesignaling and remote control class; the protocol consistency test object class is used to perform protocol consistency testing; the performance test object class is used to perform performance testing; and the telesignaling and remote control class is used to perform telesignaling and remote control testing.
[0029] The above implementation enables the provision of digital twins for both the smart power distribution terminal and the testing platform, achieving a two-level digital twin for smart power distribution terminal testing. By embedding the digital twin in the smart power distribution terminal's embedded software platform for edge computing and then embedding the digital twin in the testing platform, accurate quality testing of the smart power distribution terminal is achieved.
[0030] In some embodiments provided herein, the digital twin object class is an empty object class and includes attribute information. The attribute information includes a unique ID and a terminal type (TType). The unique ID identifies the smart power distribution terminal; each smart power distribution terminal has a unique ID. The terminal type (TType) includes the terminal type or model, which determines the content of the performance test and the test items of the protocol conformance test.
[0031] In some embodiments provided by the present invention, the digital twin object class and the sub-object classes under the digital twin object class are all run on the container of the embedded operating system. The idea of docker is to use the operating system resources to build some applications on it. The advantage of docker is that it is cross-platform, and only one image needs to be built, which can be deployed on different platforms. The image can also be pushed to a remote warehouse to facilitate the construction of the same environment. Running the digital twin object class and the sub-object classes under the digital twin object class in this embodiment based on the container is conducive to the continuous integration and continuous deployment implementation of the digital twin.
[0032] In some embodiments provided by the present invention, the digital twin object class on the detection platform also includes the following sub-object classes: a three-dimensional graphic object class; the three-dimensional graphic object class is used to perform three-dimensional reconstruction and status display of the intelligent power distribution terminal. In the aforementioned embodiments, the structure of the digital twin object class on the detection platform is the same as that on the detection platform, but on the detection platform, in order for users to more intuitively know the quality inspection results of the intelligent power distribution terminal, it is necessary to add a three-dimensional graphic object class. The three-dimensional graphic object class is also a sub-object class of the digital twin object class, which provides a three-dimensional reconstruction function and a status display function. The specific implementation methods of the above functions will be described in detail later.
[0033] In some embodiments provided herein, the three-dimensional reconstruction of the three-dimensional graphic object class includes: scanning the intelligent power distribution terminal from different positions and angles; acquiring and processing three-dimensional point cloud data of the intelligent power distribution terminal, wherein the processing includes at least one of filtering, classification, and edge extraction; and performing three-dimensional reconstruction of the intelligent power distribution terminal based on the processed three-dimensional point cloud data to obtain three-dimensional visual data for display. A comprehensive data model is beneficial for improving the accuracy of quality inspection. Point cloud images are composed of point cloud data, which, in addition to geometric position, may also contain color information. Color information is typically obtained by capturing a color image using a camera, and then assigning color information (RGB) to the corresponding point in the point cloud for the pixel at the corresponding position. Intensity information is obtained by acquiring the echo intensity collected by the laser scanner receiving device. This intensity information is related to the target's surface material, roughness, incident angle, and the instrument's emission energy and laser wavelength. The three-dimensional visual data ultimately obtained through the above steps can be displayed on the main system interface of the inspection platform.
[0034] In some embodiments provided by the present invention, the three-dimensional graphic object class is further configured to: perform different status displays based on at least one of the test results of the protocol consistency test object class, the performance test object class, and the remote control class; the different status displays include at least one of distorted display, colored display, or text prompts. An object corresponding to the smart distribution terminal to be tested is generated through the digital twin object class. The test results of the smart distribution terminal are obtained during the data interaction with the digital twin in the smart distribution terminal and stored in the database. The test results are displayed on the three-dimensional graphic in real time to achieve a what-you-see-is-what-you-get effect. After the test results are displayed in real time, the historical test data of the smart distribution terminal is read from the database based on the standard qualified data and compared in real time. If the protocol consistency does not meet the requirements, an alarm is issued on the screen. If the performance does not meet the requirements, the three-dimensional graphic of the smart distribution terminal is distorted to indicate that the performance of the smart distribution terminal does not meet the requirements. If the remote control does not meet the requirements, the specific abnormal situation pops up on the three-dimensional graphic. Through the above embodiments, the test results can be intuitively displayed on the detection platform through the three-dimensional graphic object class.
[0035] In some embodiments of the present invention, the test results of the protocol consistency test object class, performance test object class, and remote signaling and remote control class are further integrated with the operating condition data of the intelligent power distribution terminal. The integrated data is used to determine the failure probability of the intelligent power distribution terminal. The operating condition data here includes equipment status, real-time load, and electrical measurements. The failure probability of the intelligent power distribution terminal can be predicted using artificial intelligence algorithm models such as deep learning, thereby providing recommendations for future design improvements of the distribution terminal.
[0036] In order to facilitate the understanding and implementation of those skilled in the art, the implementation of the digital twin construction is explained from the perspectives of the smart distribution terminal and the detection platform through the following embodiments.
[0037] The digital twin construction method for the intelligent power distribution terminal is presented in the form of a software app and runs on the container of the terminal's embedded operating system. The construction process is as follows:
[0038] Step 1: After the program starts, use object-oriented thinking to create an empty digital twin object class CTerminalDT and assign it three sub-object classes: the protocol consistency test object class CProtConformTest, the performance test object class CPerformanceTest, and the remote signaling and remote control class CComControl. Also, assign the object class CTerminalDT two attributes: a unique code ID and a terminal type TType.
[0039] Step 2: Based on the terminal type TType and coding ID, such as the protocol consistency test of the distribution transformer terminal TTU, communicate with the testing platform according to the protocol consistency requirements of the corresponding distribution transformer terminal TTU, and determine whether it meets the requirements of the communication protocol; record the results and report the results to the testing platform in real time;
[0040] Step 3: If it is a performance test, complete the performance test through CPerformanceTest, record the results and report the results to the testing platform;
[0041] Step 4: If it is a remote control test, complete the remote control test through CComControl, record the results and report them to the detection platform;
[0042] Step 5: Repeat steps 2 to 5 a total of 10 times, and summarize the results of the 10 protocol consistency tests, performance tests, and remote signaling and remote control tests as historical data and temporarily store them in the smart distribution terminal.
[0043] The digital twin construction method on the detection platform is presented in the form of an independent process software system, running on a PC. It is responsible for the three-dimensional visualization of the intelligent distribution terminal detection, reading and writing databases, displaying detection results, and interacting with the intelligent distribution terminal in real time. The construction process is as follows:
[0044] Step 1: Scan the intelligent power distribution terminal from different positions and angles to obtain 3D point cloud data and store it in the database. Then perform filtering, classification, edge extraction, and 3D reconstruction of the intelligent power distribution terminal, and display it on the system main interface.
[0045] Step 2: Similarly, on the detection platform side, using object-oriented thinking, create an empty digital twin object class CTerminalDT and assign it four sub-object classes: the 3D graphics object class CDisplay, the protocol consistency test object class CProtConformTest, the performance test object class CPerformanceTest, and the remote signaling and remote control class CComControl. The object class CTerminalDT is also assigned two attributes: a unique code ID and a terminal type Ttype.
[0046] Step 3: Generate an object corresponding to the smart distribution terminal to be tested through the CterminalDT class. During data exchange with the lightweight digital twin in the edge-side distribution terminal, the test results of the distribution terminal are obtained and stored in the database. The results are then displayed in real time on a 3D graph, achieving a what-you-see-is-what-you-get (WYSIWYG) effect.
[0047] Step 4: After the test results are displayed in real time, the historical test data of the distribution terminal is read from the database based on the standard qualified data and compared in real time;
[0048] Step 5: If the protocol consistency does not meet the requirements, a screen alarm will be issued. If the performance does not meet the requirements, the three-dimensional graphics of the distribution terminal will be distorted to indicate that the terminal's performance does not meet the requirements. If the remote signaling and remote control do not meet the requirements, the specific abnormal situation will be popped up on the three-dimensional graphics.
[0049] Step 6: If all are qualified, all data related to the smart distribution terminal to be tested will be integrated, and the probability of terminal equipment failure will be predicted through artificial intelligence algorithm models such as deep learning. Suggestions will be given on how to improve the future design of the smart distribution terminal.
[0050] Through the above implementation methods, digital twins for quality inspection with corresponding functions can be constructed on the smart distribution terminal and the detection platform respectively. Among them, the digital twin on the smart distribution terminal is a simple mapping of the smart distribution terminal as a physical entity in the virtual space. This mapping does not include the three-dimensional visual data and historical data of the terminal, but only includes real-time interactive data, reflecting the real-time status of the performance and function of the smart distribution terminal. The digital twin on the detection platform is a complex mapping of the smart distribution terminal as a physical entity in the virtual space. This mapping includes the three-dimensional visual data of the terminal, the terminal test history data and the real-time interactive data with the physical entity of the edge-side smart distribution terminal. It is a more comprehensive expression of the performance and function of the smart distribution terminal.
[0051] Figure 2 The schematic diagram of the structure of the digital twin construction device for intelligent power distribution terminal quality detection according to the embodiment of the present invention is shown as follows: Figure 2 This embodiment also provides a digital twin construction device for quality detection of intelligent power distribution terminals, comprising: a digital twin object class construction module, configured to create digital twin object classes on both the intelligent power distribution terminal and the detection platform; a sub-object class construction module, configured to construct sub-object classes under the digital twin object class; the sub-object classes comprising at least one of a protocol consistency test object class, a performance test object class, and a telesignaling and remote control class; the protocol consistency test object class, configured to perform protocol consistency testing; the performance test object class, configured to perform performance testing; and the telesignaling and remote control class, configured to perform telesignaling and remote control testing.
[0052] The specific definition of each functional module in the above-mentioned intelligent power distribution terminal quality detection digital twin construction device can be found in the above-mentioned definition of the intelligent power distribution terminal quality detection digital twin construction method, which will not be repeated here. Each module in the above-mentioned device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
[0053] In some embodiments provided by the present invention, there is also provided a device for constructing a digital twin for quality detection of an intelligent power distribution terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the aforementioned method for constructing a digital twin for quality detection of an intelligent power distribution terminal are implemented. The processor herein has the functions of numerical calculation and logical operation, and has at least a central processing unit (CPU) with data processing capabilities, a random access memory (RAM), a read-only memory (ROM), a variety of I / O ports, and an interrupt system. The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be provided, and the aforementioned method is implemented by adjusting kernel parameters. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM), and / or non-volatile memory, such as a read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
[0054] Figure 3 The following schematically shows the structure of the digital twin system for quality detection of intelligent power distribution terminals according to an embodiment of the present invention. Figure 3As shown, the digital twin system for quality testing of smart power distribution terminals in this embodiment includes: the smart power distribution terminal and the testing platform both include digital twins for quality testing, constructed using the aforementioned method for constructing digital twins for quality testing of smart power distribution terminals. The digital twins work together to perform quality testing of the smart power distribution terminal, thereby improving the accuracy of quality testing of the smart power distribution terminal.
[0055] In some embodiments provided by the present invention, the digital twin system further includes a database, which is communicatively coupled to the detection platform and is used to store real-time data, historical data, and three-dimensional visual data of virtual-reality interaction of the smart distribution terminal.
[0056] In some embodiments provided by the present invention, the intelligent power distribution terminal includes: a communication module, a core board, a power supply board, an AC / DC analog input interface, a state input interface, and a control output interface; the intelligent power distribution terminal also includes an embedded operating system, a container platform, and a software APP. This embodiment discloses the hardware structure and software structure of the intelligent power distribution terminal. Among them, the communication module is used for external communication of the intelligent power distribution terminal and supports multiple communication methods such as 4G\5G, power line carrier, RS485, LoRa, Bluetooth, etc. The core board is mainly composed of a main control chip MCU, a power management chip, and memory. Other hardware modules are connected to the core board. The core board is the main control part of the entire intelligent power distribution terminal. The power supply board is used for power supply. The AC / DC analog input interface is used to input AC / DC analog quantities. The state input interface is used to input state quantities; the control output interface is used to output control instructions. The detection platform mainly includes a server, detection platform software, digital twin, etc. The detection platform and the intelligent power distribution terminal are connected via Ethernet / serial port for real-time interactive communication.
[0057] In some embodiments provided by the present invention, a computer-readable storage medium is also provided, which stores instructions. When the storage medium is run on a computer, it enables the computer to execute the aforementioned method for constructing a digital twin for quality detection of smart distribution terminals.
[0058] In one embodiment provided by the present invention, a computer program product is provided, including a computer program, which, when executed by a processor, implements the above-mentioned method for constructing a digital twin for quality detection of smart distribution terminals.
[0059] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0060] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0061] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0062] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0063] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
[0064] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.
[0065] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.
[0066] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.
[0067] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.
Claims
1. A method for constructing a digital twin for quality detection of an intelligent power distribution terminal, applied to an intelligent power distribution terminal and a detection platform communicatively coupled with the intelligent power distribution terminal, characterized in that: The digital twin construction method on the intelligent power distribution terminal is presented in the form of a software APP, running on the container of the terminal embedded operating system. The digital twin construction method on the detection platform is presented in the form of an independent process software system, running on a PC. The construction method includes: Creating a digital twin object class on both the smart power distribution terminal and the detection platform, including: creating an empty digital twin object class through object-oriented programming, assigning two attribute information to the empty digital twin object class: a unique code and a terminal type, wherein the unique code is used to identify the smart power distribution terminal, and the code of each smart power distribution terminal is unique. The terminal type determines the content in the performance test and the test items in the protocol consistency test; and assigning at least one of the following sub-object classes to the digital twin object class: a protocol consistency test object class, a performance test object class, and a remote signaling and remote control class; The protocol consistency test object class is used to perform protocol consistency testing; The performance test object class is used to perform performance testing; The remote control class is used to perform remote control testing; The digital twin object class on the detection platform also includes the following sub-object classes: a three-dimensional graphics object class; The three-dimensional graphic object class is used to perform three-dimensional reconstruction and status display of the intelligent power distribution terminal; The three-dimensional graphic object class is further configured to: perform different status displays according to at least one of the test results of the protocol consistency test object class, the performance test object class, and the remote signaling and remote control class; The different status displays include at least one of a distorted display, a colored display, and a text prompt.
2. The construction method according to claim 1, characterized in that The digital twin object class and the sub-object classes under the digital twin object class all run on the container of the embedded operating system.
3. The construction method according to claim 1, characterized in that The three-dimensional reconstruction of the three-dimensional graphic object class includes: Scan the intelligent power distribution terminal from different positions and angles; Acquire and process three-dimensional point cloud data of the intelligent power distribution terminal, wherein the processing includes at least one of filtering, classification, and edge extraction; The intelligent power distribution terminal is three-dimensionally reconstructed based on the processed three-dimensional point cloud data to obtain three-dimensional visual data for display.
4. The construction method according to claim 1, characterized in that The test results of the protocol consistency test object class, performance test object class and remote signaling and remote control class are also used to: The data is integrated with the operating condition data of the intelligent power distribution terminal, and the integrated data is used to determine the probability of failure of the intelligent power distribution terminal.
5. A digital twin construction device for intelligent power distribution terminal quality detection, characterized in that: include: A digital twin object class construction module is used to create digital twin object classes on both the smart power distribution terminal and the detection platform, including: creating an empty digital twin object class through object-oriented programming, and assigning two attribute information to the empty digital twin object class: a unique code and a terminal type. The unique code is used to identify the smart power distribution terminal, and each smart power distribution terminal has a unique code; the terminal type determines the content of the performance test and the test items in the protocol consistency test; A sub-object class construction module, configured to construct a sub-object class under the digital twin object class; the sub-object class includes at least one of a protocol consistency test object class, a performance test object class, and a remote signaling and remote control class; The protocol consistency test object class is used to perform protocol consistency testing; The performance test object class is used to perform performance testing; The remote control class is used to perform remote control testing; The digital twin object class on the detection platform also includes the following sub-object classes: a three-dimensional graphics object class; The three-dimensional graphic object class is used to perform three-dimensional reconstruction and status display of the intelligent power distribution terminal; The three-dimensional graphic object class is further configured to: perform different status displays according to at least one of the test results of the protocol consistency test object class, the performance test object class, and the remote signaling and remote control class; The different status displays include at least one of a distorted display, a colored display, and a text prompt.
6. A device for constructing a digital twin for quality detection of an intelligent power distribution terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for constructing a digital twin for quality detection of an intelligent distribution terminal according to any one of claims 1 to 4 are implemented.
7. A digital twin system for intelligent power distribution terminal quality detection, comprising: An intelligent power distribution terminal and a detection platform communicatively coupled to the intelligent power distribution terminal, characterized in that both the intelligent power distribution terminal and the detection platform include a digital twin for quality detection, and the digital twin is constructed using the method for constructing a digital twin for quality detection of an intelligent power distribution terminal according to any one of claims 1 to 4.
8. The digital twin system according to claim 7, characterized in that: The digital twin system also includes a database, which is communicatively coupled to the detection platform and is used to store real-time data, historical data and three-dimensional visual data of virtual-reality interaction of the smart distribution terminal.
9. The digital twin system according to claim 7, characterized in that: The intelligent power distribution terminal includes: a communication module, a core board, a power board, an AC / DC analog input interface, a state input interface and a control output interface; The intelligent power distribution terminal also includes an embedded operating system, a container platform and a software APP.
10. A computer-readable storage medium, characterized in that The storage medium stores instructions, which, when executed on a computer, enable the computer to execute the method for constructing a digital twin for quality detection of an intelligent distribution terminal as described in any one of claims 1 to 4.
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