Power plant engineering design-oriented full-element digital twin model construction method

Abstract

The application relates to a full-element digital twin model construction method for power plant engineering design, which can be used in the technical field of electric power. The method comprises the following steps: constructing an initial simulation environment model according to initial configuration information of a target power plant, and configuring virtual workers and corresponding working mechanism parameters in the initial simulation environment model; controlling the virtual workers to perform simulated working tasks corresponding to the working mechanism parameters in the initial simulation environment model to obtain working result information; inputting the working result information into a working efficiency analysis model for analysis and processing to obtain working efficiency analysis information; optimizing the initial simulation environment model and the working mechanism parameters to obtain a target simulation environment model and target working mechanism parameters; and constructing optimal configuration information corresponding to the target power plant according to the target simulation environment model and the target working mechanism parameters. The method can improve the efficiency of constructing power plant configuration information.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method for constructing a full-element digital twin model for power plant engineering design. Background Technology

[0002] With the rapid development of the power industry, the safe and stable operation and efficient management of power plants have become an important direction for power system construction.

[0003] Currently, the construction of power plant configuration information is mainly based on traditional engineering experience or manual static planning. However, when faced with the complex operating environment and dynamic management needs of different power plants, it is necessary to manually analyze and evaluate each configuration element one by one. This process is time-consuming and results in low efficiency in constructing power plant configuration information. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for constructing a full-element digital twin model for power plant engineering design that can improve the efficiency of constructing power plant configuration information, addressing the aforementioned technical problems.

[0005] Firstly, this application provides a method for constructing a full-element digital twin model for power plant engineering design. The method includes:

[0006] Based on the initial configuration information of the target power plant, an initial simulation environment model corresponding to the target power plant is constructed, and virtual workers and corresponding working mechanism parameters are configured in the initial simulation environment model;

[0007] The virtual worker is controlled to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and work result information corresponding to the simulated work tasks is obtained;

[0008] The work result information is input into a pre-trained work efficiency analysis model for analysis and processing to obtain the work efficiency analysis information of the virtual worker performing the simulated work task.

[0009] Based on the work efficiency analysis information and preset efficiency conditions, the initial simulation environment model and the work mechanism parameters are optimized to obtain the target simulation environment model and target work mechanism parameters.

[0010] Based on the target simulation environment model and the target working mechanism parameters, construct the optimal configuration information corresponding to the target power plant.

[0011] In one embodiment, the step of constructing an initial simulation environment model corresponding to the target power plant based on the initial configuration information of the target power plant, and configuring virtual workers and corresponding working mechanism parameters in the initial simulation environment model, includes:

[0012] Based on the device parameters in the initial configuration information, construct the initial simulation environment model;

[0013] Based on the personnel parameters in the initial configuration information, the virtual staff are configured in the initial simulation environment model, and the working mechanism parameters are configured for the virtual staff.

[0014] In one embodiment, controlling the virtual worker to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and obtaining work result information corresponding to the simulated work tasks, includes:

[0015] The virtual workers are divided into at least one collaborative work group;

[0016] The collaborative working group is controlled to execute the simulated work tasks corresponding to the working mechanism parameters in the initial simulation environment model, and the work result information corresponding to the simulated work tasks is obtained.

[0017] In one embodiment, the step of inputting the work result information into a pre-trained work performance analysis model for analysis and processing to obtain work performance analysis information of the virtual worker performing the simulated work task includes:

[0018] The work result information is input into the work efficiency analysis model for analysis and processing to obtain the work time consumption characteristics and work efficiency characteristics of the virtual worker performing the simulated work task.

[0019] Based on the work time characteristics and the work efficiency characteristics, the work performance analysis information of the virtual worker performing the simulated work task is determined.

[0020] In one embodiment, the step of optimizing the initial simulation environment model and the working mechanism parameters based on the work efficiency analysis information and preset performance conditions to obtain the target simulation environment model and target working mechanism parameters includes:

[0021] Determine whether the work performance analysis information meets the preset performance conditions;

[0022] If the work efficiency analysis information does not meet the preset efficiency conditions, the initial simulation environment model and the working mechanism parameters are optimized based on the work efficiency analysis information to obtain the target simulation environment model and the target working mechanism parameters.

[0023] In one embodiment, the step of optimizing the initial simulation environment model and the working mechanism parameters based on the work efficiency analysis information to obtain the target simulation environment model and the target working mechanism parameters includes:

[0024] Based on the work efficiency analysis information, the initial simulation environment model and the working mechanism parameters are optimized to obtain the optimized simulation environment model and optimized working mechanism parameters.

[0025] The virtual worker is controlled to execute simulated work tasks corresponding to the optimized work mechanism parameters in the optimized simulation environment model until the corresponding optimized work efficiency analysis information meets the preset efficiency conditions, thereby obtaining the target simulation environment model and the target work mechanism parameters corresponding to the optimized work efficiency analysis information.

[0026] Secondly, this application also provides a device for constructing a full-element digital twin model for power plant engineering design. The device includes:

[0027] The model building module is used to construct an initial simulation environment model corresponding to the target power plant based on the initial configuration information of the target power plant, and to configure virtual workers and corresponding working mechanism parameters in the initial simulation environment model;

[0028] The task execution module is used to control the virtual worker to execute the simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and to obtain work result information corresponding to the simulated work tasks.

[0029] The information input module is used to input the work result information into a pre-trained work efficiency analysis model for analysis and processing, so as to obtain the work efficiency analysis information of the virtual worker performing the simulated work task.

[0030] The parameter optimization module is used to optimize the initial simulation environment model and the working mechanism parameters based on the work efficiency analysis information and preset efficiency conditions to obtain the target simulation environment model and target working mechanism parameters.

[0031] The information construction module is used to construct the optimal configuration information corresponding to the target power plant based on the target simulation environment model and the target working mechanism parameters.

[0032] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described above.

[0033] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0034] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method described in any of the above aspects.

[0035] The aforementioned method, apparatus, computer equipment, computer-readable storage medium, and computer program products for constructing a full-element digital twin model for power plant engineering design construct an initial simulation environment model based on the initial configuration information of the target power plant. Virtual workers and corresponding work mechanism parameters are configured within this initial simulation environment model. The virtual workers are controlled to execute simulated work tasks to obtain work result information. Furthermore, work efficiency analysis information is obtained using a work efficiency analysis model. Based on this work efficiency analysis information and preset efficiency conditions, the initial simulation environment model and work mechanism parameters are optimized to construct the optimal configuration information for the target power plant. This facilitates the early detection and resolution of unreasonable situations in spatial layout and personnel mechanisms through fully automated simulation and optimization before construction, thereby improving the efficiency and accuracy of constructing power plant configuration information. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating a method for constructing a full-element digital twin model for power plant engineering design in one embodiment.

[0038] Figure 2 This is a flowchart illustrating the steps for configuring the operating mechanism parameters in one embodiment;

[0039] Figure 3 This is a flowchart illustrating the steps involved in performing a simulated work task in one embodiment;

[0040] Figure 4 This is a flowchart illustrating the steps of performance analysis in one embodiment;

[0041] Figure 5 This is a flowchart illustrating the steps for optimizing the model and parameters in one embodiment;

[0042] Figure 6 This is a flowchart illustrating the steps for determining the model and parameters in one embodiment;

[0043] Figure 7 This is a structural block diagram of a full-element digital twin model construction device for power plant engineering design in one embodiment;

[0044] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0046] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0047] In one exemplary embodiment, such as Figure 1 As shown, a method for constructing a full-element digital twin model for power plant engineering design is provided. This embodiment illustrates the application of this method to a terminal. It is understood that this method can also be applied to a server, and to a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. In this embodiment, the method includes the following steps:

[0048] Step S101: Based on the initial configuration information of the target power plant, construct an initial simulation environment model corresponding to the target power plant, and configure virtual workers and corresponding working mechanism parameters in the initial simulation environment model;

[0049] Step S102: Control the virtual worker to execute the simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and obtain the work result information corresponding to the simulated work tasks;

[0050] Step S103: Input the work result information into the pre-trained work efficiency analysis model for analysis and processing to obtain the work efficiency analysis information of the virtual worker performing the simulated work task;

[0051] Step S104: Based on the work efficiency analysis information and preset efficiency conditions, optimize the initial simulation environment model and working mechanism parameters to obtain the target simulation environment model and target working mechanism parameters.

[0052] Step S105: Based on the target simulation environment model and target working mechanism parameters, construct the optimal configuration information corresponding to the target power plant.

[0053] The target power plant could be a pumped storage power plant to be built.

[0054] The initial configuration information can be the parameter information that the target power plant initially sets before the simulated construction.

[0055] The initial simulation environment model can be a digital power plant architecture constructed in the simulation space at a one-to-one scale based on the initial configuration information.

[0056] Among them, virtual staff can be digital roles set in the initial simulation environment model according to the roles of staff in the power plant.

[0057] Among them, the working mechanism parameters can be the division of labor rules, operating procedures or task allocation settings of virtual workers when performing tasks.

[0058] The simulated work tasks can be specific work items that virtual workers need to complete in the initial simulation environment model, such as operation and maintenance tasks or repair tasks.

[0059] The work result information can be feedback data generated after the virtual worker completes the simulated work task, such as operation records or task completion status.

[0060] Among them, the work efficiency analysis model can be built based on a large artificial intelligence model.

[0061] The work performance analysis information can include the work time and efficiency of virtual workers.

[0062] Among them, the preset performance conditions can be the standards that the work performance analysis information needs to meet, such as the work time being less than a preset time threshold and / or the work efficiency being greater than a preset efficiency threshold.

[0063] The target simulation environment model can be a simulation environment architecture that meets preset performance conditions.

[0064] The model in this application can be a full-element digital twin model for power plant engineering design.

[0065] Among them, the target working mechanism parameters can be the working mechanism of staff that meets the preset performance conditions.

[0066] Among them, the optimal configuration information can be a configuration scheme used to guide the actual construction and personnel management of the target power plant in the real world.

[0067] Optionally, the terminal constructs an initial simulation environment model corresponding to the target power plant in the simulation space based on the initial configuration information of the target power plant. It then configures virtual workers and corresponding work mechanism parameters within the initial simulation environment model, controls the virtual workers to execute simulated work tasks corresponding to the work mechanism parameters, collects and obtains work result information corresponding to the simulated work tasks, inputs the work result information into a pre-trained work efficiency analysis model for analysis and processing, obtains work efficiency analysis information of the virtual workers executing simulated work tasks, and iteratively optimizes (updates) the initial simulation environment model and work mechanism parameters based on the work efficiency analysis information and preset efficiency conditions until the conditions are met, thus obtaining the target simulation environment model and target work mechanism parameters. Finally, based on the target simulation environment model and target work mechanism parameters, it constructs the optimal configuration information corresponding to the target power plant.

[0068] For example, the terminal uses AI-simulated worlds to fully automate and refine the entire process of establishing, operating, and upgrading pumped-storage and new energy power plants before real-world construction. Specifically: 1. Utilizing the principles of AI-simulated worlds, a 1:1 scale simulation environment is built for pumped-storage power plants. For instance, a specific system, piece of equipment, or cabinet from the power plant is set up in the simulation environment at a 1:1 scale. 2. Based on the roles of personnel in the power plant, operation and maintenance personnel or repair personnel are assigned roles in the simulation environment. These personnel work in groups of three, completing corresponding tasks (e.g., operation and maintenance tasks, repair tasks) and recording the results. 3. Using a large AI model, the feedback results are analyzed periodically to determine the work time and efficiency of each role. Based on this, the work mechanisms of the roles are optimized, and the relevant structures of the simulation environment (e.g., cabinet placement, instrument placement) are adjusted or modified. The simulation is then iteratively repeated based on the adjusted environment and improved work mechanisms until the work time and efficiency of the roles meet the requirements. 4. Based on the simulated environment, construct a realistic power plant and improve the working mechanism for staff.

[0069] In the aforementioned method for constructing a full-element digital twin model for power plant engineering design, an initial simulation environment model is built based on the initial configuration information of the target power plant. Virtual workers and corresponding work mechanism parameters are configured in the initial simulation environment model. The virtual workers are controlled to perform simulated work tasks to obtain work result information. Then, work efficiency analysis information is obtained using a work efficiency analysis model. Based on the work efficiency analysis information and preset efficiency conditions, the initial simulation environment model and work mechanism parameters are optimized to construct the optimal configuration information corresponding to the target power plant. This method is beneficial for identifying and resolving unreasonable situations in spatial layout and personnel mechanisms in advance through full-process automatic simulation and optimization before construction, thereby improving the efficiency and accuracy of constructing power plant configuration information.

[0070] In one exemplary embodiment, reference is made to Figure 2 Based on the initial configuration information of the target power plant, an initial simulation environment model corresponding to the target power plant is constructed, and virtual workers and corresponding working mechanism parameters are configured in the initial simulation environment model, including:

[0071] Step S201: Construct an initial simulation environment model based on the device parameters in the initial configuration information;

[0072] Step S202: Based on the personnel parameters in the initial configuration information, configure virtual staff in the initial simulation environment model and configure the working mechanism parameters for the virtual staff.

[0073] Among them, the equipment parameters can be the size or location information of the system, equipment, or cabinet in the target power plant.

[0074] The personnel parameters can be information on the role type or number of staff in the target power plant.

[0075] Optionally, the terminal obtains the device parameters from the initial configuration information, constructs an initial simulation environment model containing the corresponding system, device or cabinet in the simulation space according to a preset ratio (e.g., a 1:1 ratio), obtains the personnel parameters from the initial configuration information, generates virtual workers of the corresponding role type (e.g., operation and maintenance personnel or repair personnel) in the initial simulation environment model, and configures the corresponding working mechanism parameters for the virtual workers.

[0076] The technical solution provided in this embodiment is beneficial for accurately mapping hardware devices and personnel configurations into the virtual space, thereby improving the accuracy and completeness of the initial simulation environment model construction.

[0077] In one exemplary embodiment, reference is made to Figure 3 The system controls virtual workers to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and obtains work result information corresponding to the simulated work tasks, including:

[0078] Step S301: Divide the virtual workers into at least one collaborative work group;

[0079] Step S302: Control the collaborative working group to execute the simulated work tasks corresponding to the working mechanism parameters in the initial simulation environment model, and obtain the work result information corresponding to the simulated work tasks.

[0080] The collaborative working group can be a collection of virtual workers divided into groups of three (e.g., three people per group) to perform the same task together.

[0081] Optionally, the terminal divides the virtual workers in the initial simulation environment model into at least one collaborative work group according to a preset number of people, controls the collaborative work group to jointly execute the corresponding simulated work tasks in the initial simulation environment model according to the set work mechanism parameters, and records the operation data of the collaborative work group during the execution of the task to obtain the work result information corresponding to the simulated work task.

[0082] The technical solution provided in this embodiment is beneficial for simulating multi-person collaborative work scenarios, thereby improving the realism of the simulated work task execution process and the accuracy of work result information.

[0083] In one exemplary embodiment, reference is made to Figure 4 The work results information is input into a pre-trained work performance analysis model for analysis and processing to obtain work performance analysis information of virtual workers performing simulated work tasks, including:

[0084] Step S401: Input the work result information into the work efficiency analysis model for analysis and processing to obtain the work time consumption characteristics and work efficiency characteristics of the virtual worker performing the simulated work task;

[0085] Step S402: Based on the characteristics of work time consumption and work efficiency, determine the work performance analysis information of the virtual worker performing the simulated work task.

[0086] Among them, the work time feature can be the time spent by a virtual worker to complete a single simulated work task (work time).

[0087] Among them, work efficiency can be the progress (work efficiency) of virtual workers in completing simulated work tasks within a unit of time.

[0088] Optionally, the terminal inputs the recorded work result information into a pre-trained work efficiency analysis model for feature extraction and analysis to obtain the work time and work efficiency features of the virtual worker performing simulated work tasks. The extracted work time and work efficiency features are used as work efficiency analysis information of the virtual worker performing simulated work tasks.

[0089] The technical solution provided in this embodiment is conducive to comprehensively quantifying the task execution of virtual workers from both time and efficiency dimensions, thereby improving the comprehensiveness and accuracy of work efficiency analysis information.

[0090] In one exemplary embodiment, reference is made to Figure 5 Based on the work efficiency analysis information and preset efficiency conditions, the initial simulation environment model and working mechanism parameters are optimized to obtain the target simulation environment model and target working mechanism parameters, including:

[0091] Step S501: Determine whether the work performance analysis information meets the preset performance conditions;

[0092] Step S502: If the work efficiency analysis information does not meet the preset efficiency conditions, optimize the initial simulation environment model and working mechanism parameters based on the work efficiency analysis information to obtain the target simulation environment model and target working mechanism parameters.

[0093] Among them, the preset performance conditions can be pre-set conditions used to measure whether the work performance meets the standard, such as the work time being less than a preset time threshold and / or the work efficiency being greater than a preset efficiency threshold.

[0094] Optionally, the terminal compares the acquired work efficiency analysis information with preset efficiency conditions to determine whether the work efficiency analysis information meets the preset efficiency conditions. If the work efficiency analysis information does not meet the preset efficiency conditions, the terminal optimizes and updates the relevant structures and working mechanism parameters in the initial simulation environment model according to the target link (weak link) indicated by the work efficiency analysis information to obtain the target simulation environment model and target working mechanism parameters.

[0095] The technical solution provided in this embodiment is conducive to timely discovery and targeted resolution of unreasonable problems in the initial simulation environment model and working mechanism parameters, thereby improving the rationality of the final target simulation environment model and target working mechanism parameters.

[0096] In one exemplary embodiment, reference is made to Figure 6 Based on the work efficiency analysis information, the initial simulation environment model and working mechanism parameters are optimized to obtain the target simulation environment model and target working mechanism parameters, including:

[0097] Step S601: Based on the work efficiency analysis information, optimize the initial simulation environment model and working mechanism parameters to obtain the optimized simulation environment model and optimized working mechanism parameters.

[0098] Step S602: Control the virtual worker to execute the simulated work tasks corresponding to the optimized work mechanism parameters in the optimized simulation environment model until the corresponding optimized work efficiency analysis information meets the preset efficiency conditions, and obtain the target simulation environment model and target work mechanism parameters corresponding to the optimized work efficiency analysis information.

[0099] The optimized simulation environment model can be a simulation environment architecture that has been adjusted or modified by adjusting or modifying the placement of cabinets or instruments.

[0100] Among them, the optimized working mechanism parameters can be the optimized and adjusted personnel division rules or operating procedures.

[0101] Optionally, based on the problems reflected in the work efficiency analysis information, the terminal optimizes or modifies the relevant structure and working mechanism parameters of the initial simulation environment model to obtain an optimized simulation environment model and optimized working mechanism parameters. The terminal then controls the virtual worker to re-execute the simulated work tasks corresponding to the optimized working mechanism parameters in the optimized simulation environment model, and continuously performs iterative simulation and analysis until the corresponding optimized work efficiency analysis information meets the preset efficiency conditions. The optimized simulation environment model and optimized working mechanism parameters corresponding to the optimized work efficiency analysis information that meets the preset efficiency conditions are then used as the target simulation environment model and target working mechanism parameters.

[0102] The technical solution provided in this embodiment is beneficial for continuously optimizing power plant configuration through automatic iterative simulation and integration, thereby ensuring that the target simulation environment model and target working mechanism parameters reach the optimal state.

[0103] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0104] Based on the same inventive concept, this application also provides a device for constructing a full-element digital twin model for power plant engineering design, which implements the aforementioned method for constructing a full-element digital twin model for power plant engineering design. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the device for constructing a full-element digital twin model for power plant engineering design provided below can be found in the limitations of the method for constructing a full-element digital twin model for power plant engineering design described above, and will not be repeated here.

[0105] In one exemplary embodiment, such as Figure 7 As shown, a full-element digital twin model construction device for power plant engineering design is provided. This full-element digital twin model construction device 700 for power plant engineering design may include:

[0106] The model building module 701 is used to build an initial simulation environment model corresponding to the target power plant based on the initial configuration information of the target power plant, and to configure virtual workers and corresponding working mechanism parameters in the initial simulation environment model;

[0107] The task execution module 702 is used to control the virtual worker to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and obtain work result information corresponding to the simulated work tasks.

[0108] The information input module 703 is used to input work result information into a pre-trained work efficiency analysis model for analysis and processing, so as to obtain work efficiency analysis information of virtual workers performing simulated work tasks.

[0109] The parameter optimization module 704 is used to optimize the initial simulation environment model and working mechanism parameters based on the work efficiency analysis information and preset efficiency conditions to obtain the target simulation environment model and target working mechanism parameters.

[0110] The information construction module 705 is used to construct the optimal configuration information corresponding to the target power plant based on the target simulation environment model and the target working mechanism parameters.

[0111] In an exemplary embodiment, the model building module 701 is further configured to build an initial simulation environment model based on the device parameters in the initial configuration information; configure virtual workers in the initial simulation environment model based on the personnel parameters in the initial configuration information; and configure working mechanism parameters for the virtual workers.

[0112] In an exemplary embodiment, the task execution module 702 is further configured to divide the virtual workers into at least one collaborative work group; control the collaborative work group to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and obtain work result information corresponding to the simulated work tasks.

[0113] In an exemplary embodiment, the information input module 703 is further configured to input work result information into the work efficiency analysis model for analysis and processing, to obtain the work time consumption characteristics and work efficiency characteristics of the virtual worker performing the simulated work task; and to determine the work efficiency analysis information of the virtual worker performing the simulated work task based on the work time consumption characteristics and work efficiency characteristics.

[0114] In an exemplary embodiment, the parameter optimization module 704 is further configured to determine whether the work efficiency analysis information meets the preset efficiency conditions; if the work efficiency analysis information does not meet the preset efficiency conditions, the initial simulation environment model and working mechanism parameters are optimized based on the work efficiency analysis information to obtain the target simulation environment model and target working mechanism parameters.

[0115] In an exemplary embodiment, the parameter optimization module 704 is further configured to optimize the initial simulation environment model and working mechanism parameters based on the work efficiency analysis information to obtain the optimized simulation environment model and optimized working mechanism parameters; control the virtual worker to execute the simulated work tasks corresponding to the optimized working mechanism parameters in the optimized simulation environment model until the corresponding optimized work efficiency analysis information meets the preset efficiency conditions, thereby obtaining the target simulation environment model and target working mechanism parameters corresponding to the optimized work efficiency analysis information.

[0116] The modules in the aforementioned full-element digital twin model construction device for power plant engineering design can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0117] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for constructing a full-element digital twin model for power plant engineering design. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0118] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0119] In one exemplary embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0120] In one exemplary embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above-described method embodiments.

[0121] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0122] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0123] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0124] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for constructing a full-element digital twin model for power plant engineering design, characterized in that, The method includes: Based on the initial configuration information of the target power plant, an initial simulation environment model corresponding to the target power plant is constructed, and virtual workers and corresponding working mechanism parameters are configured in the initial simulation environment model; The virtual worker is controlled to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and work result information corresponding to the simulated work tasks is obtained; The work result information is input into a pre-trained work efficiency analysis model for analysis and processing to obtain the work efficiency analysis information of the virtual worker performing the simulated work task. Based on the work efficiency analysis information and preset efficiency conditions, the initial simulation environment model and the work mechanism parameters are optimized to obtain the target simulation environment model and target work mechanism parameters. Based on the target simulation environment model and the target working mechanism parameters, construct the optimal configuration information corresponding to the target power plant.

2. The method according to claim 1, characterized in that, The step of constructing an initial simulation environment model corresponding to the target power plant based on the initial configuration information of the target power plant, and configuring virtual workers and corresponding working mechanism parameters in the initial simulation environment model, includes: Based on the device parameters in the initial configuration information, construct the initial simulation environment model; Based on the personnel parameters in the initial configuration information, the virtual staff are configured in the initial simulation environment model, and the working mechanism parameters are configured for the virtual staff.

3. The method according to claim 1, characterized in that, The control of the virtual worker to execute simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and to obtain work result information corresponding to the simulated work tasks, includes: The virtual workers are divided into at least one collaborative work group; The collaborative working group is controlled to execute the simulated work tasks corresponding to the working mechanism parameters in the initial simulation environment model, and the work result information corresponding to the simulated work tasks is obtained.

4. The method according to claim 1, characterized in that, The step of inputting the work result information into a pre-trained work efficiency analysis model for analysis and processing, to obtain work efficiency analysis information of the virtual worker performing the simulated work task, includes: The work result information is input into the work efficiency analysis model for analysis and processing to obtain the work time consumption characteristics and work efficiency characteristics of the virtual worker performing the simulated work task. Based on the work time characteristics and the work efficiency characteristics, the work performance analysis information of the virtual worker performing the simulated work task is determined.

5. The method according to claim 1, characterized in that, The optimization process, based on the work efficiency analysis information and preset efficiency conditions, of the initial simulation environment model and the working mechanism parameters to obtain the target simulation environment model and target working mechanism parameters includes: Determine whether the work performance analysis information meets the preset performance conditions; If the work efficiency analysis information does not meet the preset efficiency conditions, the initial simulation environment model and the working mechanism parameters are optimized based on the work efficiency analysis information to obtain the target simulation environment model and the target working mechanism parameters.

6. The method according to claim 5, characterized in that, The step of optimizing the initial simulation environment model and the working mechanism parameters based on the work efficiency analysis information to obtain the target simulation environment model and the target working mechanism parameters includes: Based on the work efficiency analysis information, the initial simulation environment model and the working mechanism parameters are optimized to obtain the optimized simulation environment model and optimized working mechanism parameters. The virtual worker is controlled to execute simulated work tasks corresponding to the optimized work mechanism parameters in the optimized simulation environment model until the corresponding optimized work efficiency analysis information meets the preset efficiency conditions, thereby obtaining the target simulation environment model and the target work mechanism parameters corresponding to the optimized work efficiency analysis information.

7. A device for constructing a full-element digital twin model for power plant engineering design, characterized in that, The device includes: The model building module is used to construct an initial simulation environment model corresponding to the target power plant based on the initial configuration information of the target power plant, and to configure virtual workers and corresponding working mechanism parameters in the initial simulation environment model; The task execution module is used to control the virtual worker to execute the simulated work tasks corresponding to the work mechanism parameters in the initial simulation environment model, and to obtain work result information corresponding to the simulated work tasks. The information input module is used to input the work result information into a pre-trained work efficiency analysis model for analysis and processing, so as to obtain the work efficiency analysis information of the virtual worker performing the simulated work task. The parameter optimization module is used to optimize the initial simulation environment model and the working mechanism parameters based on the work efficiency analysis information and preset efficiency conditions to obtain the target simulation environment model and target working mechanism parameters. The information construction module is used to construct the optimal configuration information corresponding to the target power plant based on the target simulation environment model and the target working mechanism parameters.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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