Method and apparatus for constructing virtual learning scenarios based on power systems

Abstract

The present invention discloses a method and device for constructing a virtual learning scenario based on a power system. Among them, the method includes: obtaining a target learning project in the power system, where the target learning project corresponds to an actual application scenario of the power system; obtaining view materials and text materials corresponding to the target learning project; generating a plurality of virtual devices in the to-be-constructed virtual learning scenario corresponding to the actual application scenario based on the view materials; generating interpretation information corresponding to the plurality of virtual devices based on the text materials, where the interpretation information at least includes: profile information and operation information corresponding to the plurality of virtual devices; constructing a virtual learning scenario based on the plurality of virtual devices and the interpretation information corresponding to the plurality of virtual devices. The present invention solves the technical problems in the related art that training relevant personnel using an actual power system learning scenario has high training costs and certain safety hazards.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual scene construction, and in particular, to a method and device for constructing a virtual learning scene based on a power system. Background Art

[0002] At present, when conducting training in the power system, simply adopting the theoretical learning method is not conducive to the trainees' memory. Although the practical learning method has the advantage of operability and is convenient for combining theory with practice. However, some facilities in the power system are expensive and not easily accessible, increasing the time cost and resource cost of training. At the same time, the equipment in the power system generally has the characteristics of high voltage and large current, and directly operating on the physical objects will pose a personal safety problem to the trainees, there are certain safety hazards.

[0003] In view of the above problems, no effective solution has been proposed yet. Summary of the Invention

[0004] Embodiments of the present invention provide a method and device for constructing a virtual learning scene based on a power system, so as to at least solve the technical problems in the related art that training relevant personnel using the actual power system learning scene has high training costs and certain safety hazards.

[0005] According to one aspect of the embodiments of the present invention, a method for constructing a virtual learning scene based on a power system is provided, including: obtaining a target learning project in the power system, where the target learning project corresponds to an actual application scenario of the power system; obtaining view materials and text materials corresponding to the target learning project; generating a plurality of virtual devices in a to-be-constructed virtual learning scene corresponding to the actual application scenario based on the view materials; generating interpretation information corresponding to the plurality of virtual devices based on the text materials, where the interpretation information at least includes: brief introduction information and operation information corresponding to the plurality of virtual devices; constructing the virtual learning scene based on the plurality of virtual devices and the interpretation information corresponding to the plurality of virtual devices.

[0006] Optionally, the obtaining a target learning project in the power system includes: obtaining an initial learning requirement in the power system; determining a plurality of evaluation indicators corresponding to the initial learning requirement, and a plurality of weight values respectively corresponding to the plurality of evaluation indicators; calculating an evaluation result of the initial learning requirement based on the plurality of evaluation indicators and the plurality of weight values respectively corresponding to the plurality of evaluation indicators; if the evaluation result meets a preset evaluation condition, determining the initial learning requirement as the target learning project.

[0007] Optionally, constructing the virtual learning scenario based on the multiple virtual devices and the paraphrasing information corresponding to the multiple virtual devices includes: using a preset recognition algorithm to classify the multiple virtual devices and the paraphrasing information to obtain the classified multiple virtual devices and the classified paraphrasing information; constructing the virtual learning scenario based on the classified multiple virtual devices and the classified paraphrasing information.

[0008] Optionally, constructing the virtual learning scenario based on the classified multiple virtual devices and the classified paraphrasing information includes: obtaining a first classification label corresponding to the classified multiple virtual devices and a second classification label corresponding to the classified paraphrasing information; dividing the classified multiple virtual devices into multiple first confidentiality levels according to the first classification label, and dividing the classified paraphrasing information into multiple second confidentiality levels according to the second classification label, where the multiple first confidentiality levels and the multiple second confidentiality levels correspond to different access permissions; constructing the virtual learning scenario based on the classified multiple virtual devices and the corresponding multiple first confidentiality levels, and the classified paraphrasing information and the corresponding multiple second confidentiality levels.

[0009] Optionally, constructing the virtual learning scenario based on the multiple virtual devices and the paraphrasing information includes: obtaining a preset scenario construction rule; performing a combination process on the multiple virtual devices and the paraphrasing information based on the preset scenario construction rule to obtain the virtual learning scenario.

[0010] Optionally, the virtual learning scenario includes a first virtual learning scenario and a second virtual learning scenario, where the first virtual learning scenario and the second virtual learning scenario are different scenarios indoors and outdoors, and the method further includes: after the execution of the first virtual learning scenario is completed, executing the second virtual learning scenario.

[0011] According to another aspect of the embodiments of the present invention, there is provided a virtual learning scenario construction device based on a power system, including: a first acquisition module for acquiring a target learning project in the power system, where the target learning project corresponds to an actual application scenario of the power system; a second acquisition module for acquiring view materials and text materials corresponding to the target learning project; a first generation module for generating multiple virtual devices in a to-be-constructed virtual learning scenario corresponding to the actual application scenario based on the view materials; a second generation module for generating paraphrasing information corresponding to the multiple virtual devices based on the text materials, where the paraphrasing information at least includes: profile information and operation information corresponding to the multiple virtual devices; a third generation module for constructing the virtual learning scenario based on the multiple virtual devices and the paraphrasing information corresponding to the multiple virtual devices.

[0012] Optionally, the device further includes: a third acquisition module, configured to acquire an initial learning requirement in the power system; a determination module, configured to determine a plurality of evaluation indicators corresponding to the initial learning requirement, and a plurality of weight values respectively corresponding to the plurality of evaluation indicators; a calculation module, configured to calculate an evaluation result of the initial learning requirement based on the plurality of evaluation indicators and the plurality of weight values respectively corresponding to the plurality of evaluation indicators; and a judgment module, configured to, if the evaluation result meets a preset evaluation condition, determine the initial learning requirement as a target learning project.

[0013] According to another aspect of the embodiments of the present invention, there is provided a non-volatile storage medium storing a plurality of instructions adapted to be loaded and executed by a processor to perform any one of the methods for constructing a virtual learning scenario based on a power system.

[0014] According to still another aspect of the embodiments of the present invention, there is provided an electronic device including: one or more processors and a memory, the memory being configured to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement any one of the methods for constructing a virtual learning scenario based on a power system.

[0015] In the embodiments of the present invention, a virtual learning scenario is constructed. By acquiring a target learning project in the power system, where the target learning project corresponds to an actual application scenario of the power system, view materials and text materials corresponding to the target learning project are acquired; a plurality of virtual devices in a to-be-constructed virtual learning scenario corresponding to the actual application scenario are generated based on the view materials; paraphrase information corresponding to the plurality of virtual devices is generated based on the text materials, where the paraphrase information at least includes: brief introduction information and operation information corresponding to the plurality of virtual devices; and the virtual learning scenario is constructed based on the plurality of virtual devices and the paraphrase information corresponding to the plurality of virtual devices. The technical effect of generating a virtual learning scenario that combines theory with actual operation, ensuring that relevant personnel can perform operation learning in a safe environment, ensuring the safety of power system training learning, and reducing training costs is achieved, thereby solving the technical problem in the related art that training relevant personnel using an actual power system learning scenario has high training costs and certain potential safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 Flowchart of a method for constructing a virtual learning scenario based on a power system according to an embodiment of the present invention;

[0018] Figure 2 Schematic diagram of a device for constructing a virtual learning scenario based on a power system according to an embodiment of the present invention;

[0019] Figure 3 Schematic diagram of an electronic device provided according to an embodiment of the present invention. Detailed implementation manners

[0020] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0022] According to an embodiment of the present invention, a method embodiment of a method for constructing a virtual learning scenario based on a power system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0023] Figure 1 A method for constructing a virtual learning scenario based on a power system according to an embodiment of the present invention is as Figure 1 shown, and the method includes the following steps:

[0024] Step S102, obtain a target learning item in the power system, where the target learning item corresponds to an actual application scenario of the power system;

[0025] Step S104, obtain the view materials and text materials corresponding to the above-mentioned target learning project;

[0026] Step S106, generate multiple virtual devices in the to-be-constructed virtual learning scenario corresponding to the above-mentioned actual application scenario based on the above-mentioned view materials;

[0027] Step S108, generate paraphrasing information corresponding to the above-mentioned multiple virtual devices based on the above-mentioned text materials, where the above-mentioned paraphrasing information at least includes: introduction information and operation information corresponding to the above-mentioned multiple virtual devices;

[0028] Step S110, construct the above-mentioned virtual learning scenario based on the above-mentioned multiple virtual devices and the above-mentioned paraphrasing information corresponding to the above-mentioned multiple virtual devices.

[0029] Through the above steps, it is possible to generate a virtual learning scenario that combines theory with actual operation, ensuring the purpose of allowing relevant personnel to conduct operation learning in a safe environment, achieving the technical effects of ensuring the safety of power system training learning and reducing training costs, and thus solving the technical problems in the related art that using the actual power system learning scenario to train relevant personnel has high training costs and certain potential safety hazards.

[0030] In the method for constructing a virtual learning scenario based on a power system provided in an embodiment of the present invention, first, obtain a target learning project in the power system, and the above-mentioned target learning is an actual application scenario formed based on the training needs of the training object. Secondly, obtain the view materials and text materials corresponding to the above-mentioned target learning project. Based on the above-mentioned view materials, correspond the above-mentioned actual application scenario to the to-be-constructed above-mentioned virtual learning scenario, and generate multiple virtual devices in the above-mentioned corresponding virtual learning scenario, and the above-mentioned virtual devices are generated corresponding to the actual devices described in the above-mentioned view materials. Based on the above-mentioned text materials, generate corresponding paraphrasing information according to the relevant text materials corresponding to the above-mentioned multiple virtual devices. Based on the above-mentioned multiple virtual devices and the corresponding above-mentioned paraphrasing information, construct a variety of virtual learning scenarios.

[0031] Optionally, the above-mentioned target learning project includes, but is not limited to, an actual application scenario formed based on the training needs of the training object for performing power transmission, transformation, and distribution operations, information communication operations, etc. on various power equipment in the above-mentioned power system.

[0032] Optionally, the above-mentioned view materials include, but are not limited to, various visual media materials such as picture materials and video materials, and the above-mentioned text materials include, but are not limited to, introduction materials for multiple power equipment in the above-mentioned power system, explanatory materials for actual operation procedures, etc.

[0033] Optionally, the above virtual devices are generated corresponding to actual devices, and the corresponding scope includes, but is not limited to, various power devices in the power system, related facilities supporting the above power devices, protective tools, operation tools, detection tools, etc. for power system practitioners, and various related devices involved in the above actual application scenarios.

[0034] Optionally, the above interpretation information at least includes: brief introduction information and operation information corresponding to the above multiple virtual devices. The above brief introduction information at least includes: brief introduction of device basic information, brief introduction of device application scenarios, and brief introduction of the relevance of upstream and downstream devices. The above operation information at least includes: operation process information, operation attention information, danger warning information, and other various information.

[0035] Optionally, for the above virtual learning scenario, it may include multiple relevant above virtual devices, and the above multiple virtual devices may correspond to multiple relevant above interpretation information. The above multiple virtual devices may exist independently in the above virtual learning scenario, or multiple interrelated virtual devices may be organically combined.

[0036] In an optional embodiment, obtaining the target learning project in the power system includes: obtaining the initial learning needs in the power system; determining multiple evaluation indicators corresponding to the above initial learning needs, and multiple weight values corresponding to the above multiple evaluation indicators respectively; calculating the evaluation result of the above initial learning needs based on the above multiple evaluation indicators and the multiple weight values corresponding to the above multiple evaluation indicators respectively; if the above evaluation result meets the preset evaluation conditions, then determining the above initial learning needs as the target learning project.

[0037] It can be understood that the above target learning project is for the initial learning needs in the power system. In the actual operation of the power system, practitioners need to undergo professional training before they can take up their posts or operate various large power devices, thus generating the above initial learning needs. Different above initial learning needs involve different professional focus directions. Multiple evaluation indicators are used to evaluate different above initial learning needs, and multiple evaluation indicators corresponding to the above initial learning needs are determined. By setting weights, corresponding weight values are set for each evaluation indicator. According to the calculated weight values, an objective evaluation result of the initial learning needs is obtained. It is judged whether the above evaluation result meets the preset evaluation conditions. If the judgment result is satisfied, then the above initial learning needs are determined as the above target learning project.

[0038] Optionally, the above initial learning needs include, but are not limited to, professional knowledge needs and learning method needs. Among them, there can be various learning method needs. For example, using theoretical methods such as a learning point system and a training clearance system is beneficial to improving the participation and training effect of the training objects.

[0039] Optionally, there can be multiple ways to obtain the above evaluation results from the weight values. For example, the weight values can be obtained by a preset weight algorithm, and the method of calculating the above weight values can be obtained by adding multiple weight values. According to specific requirements, the above evaluation indicators and the weights corresponding to the above evaluation indicators can be adjusted.

[0040] In an alternative embodiment, constructing the above virtual learning scenario based on the above multiple virtual devices and the above paraphrase information corresponding to the multiple virtual devices includes: using a preset recognition algorithm to classify the above multiple virtual devices and the paraphrase information to obtain the classified multiple virtual devices and the classified paraphrase information; constructing the above virtual learning scenario based on the classified multiple virtual devices and the classified paraphrase information.

[0041] It can be understood that by using a preset recognition algorithm, the generated above virtual devices and the above paraphrase information can be recognized, classified based on the recognized results to obtain the above classified multiple virtual devices and the above classified paraphrase information, and the above virtual learning scenario can be constructed.

[0042] Optionally, there can be multiple types of the above preset recognition algorithms. For example, the above preset recognition algorithms include an image recognition algorithm and a text recognition algorithm. Among them, the image recognition algorithm is combined with a classifier algorithm to recognize the generated above virtual devices, and the text recognition algorithm extracts various texts themselves and recognizes the information contained in the texts to generate the above paraphrase information.

[0043] Optionally, there are multiple situations where the above preset recognition algorithm classifies the above virtual devices and the above paraphrase information. For example, if the above preset recognition algorithm cannot process the above virtual devices and the above paraphrase information, the unprocessable virtual devices and paraphrase information are feature-extracted, and based on the extracted unprocessable features, the above preset recognition algorithm is iterated. If the above preset recognition algorithm misprocesses the above virtual devices and the above paraphrase information, the misprocessed virtual devices and paraphrase information are feature-extracted, and based on the extracted incorrect features, the above preset recognition algorithm is trained. Through multiple iterations and training optimizations, the above preset recognition algorithm can reach a good operating state.

[0044] In an alternative embodiment, constructing the virtual learning scenario based on the classified multiple virtual devices and the classified paraphrase information includes: obtaining a first classification label corresponding to the classified multiple virtual devices and a second classification label corresponding to the classified paraphrase information; dividing the classified multiple virtual devices into multiple first confidentiality levels according to the first classification label, and dividing the classified paraphrase information into multiple second confidentiality levels according to the second classification label, wherein the multiple first confidentiality levels and the multiple second confidentiality levels correspond to different access permissions; constructing the virtual learning scenario based on the classified multiple virtual devices and the corresponding multiple first confidentiality levels, and the classified paraphrase information and the corresponding multiple second confidentiality levels.

[0045] It can be understood that after classification, classification labels are obtained. The classified multiple virtual devices correspond to the first classification label, and the classified paraphrase information corresponds to the second classification label. The first classification label and the second classification label are used as the basis for dividing the confidentiality levels. Based on the content in the first classification label, the classified multiple virtual devices are divided into multiple first confidentiality levels, and based on the second classification label, the classified paraphrase information is divided into multiple second confidentiality levels. The confidentiality levels serve as the basis for access permissions, and the multiple first confidentiality levels and the multiple second confidentiality levels correspond to different access permissions. The virtual learning scenario is constructed based on the classified multiple virtual devices and the corresponding multiple first confidentiality levels, and the classified paraphrase information and the corresponding multiple second confidentiality levels.

[0046] Optionally, the virtual learning scenario constructed based on the multiple first confidentiality levels and the multiple second confidentiality levels can have multiple access methods. For example, if one has the access permission to all the virtual devices in the virtual learning scenario but does not have the access permission to all the paraphrase information, then one can access the virtual learning scenario and can only access the paraphrase information and the corresponding virtual devices for which one has the access permission. If one has the access permission to all the virtual devices in the virtual learning scenario but does not have the access permission to any one of the paraphrase information, then one can access the virtual learning scenario but cannot obtain the paraphrase information. If one does not have the access permission to any one of the virtual devices in the virtual learning scenario, regardless of whether one has the access permission to the paraphrase information, one cannot access the virtual learning scenario. By dividing different confidentiality levels, it is possible to control the information obtained by training objects with different access permissions in the same virtual learning scenario.

[0047] In an optional embodiment, the above-mentioned virtual learning scene is constructed based on the above-mentioned multiple virtual devices and the above-mentioned interpretation information, including: obtaining preset scene construction rules; combining the above-mentioned multiple virtual devices and the above-mentioned interpretation information based on the above-mentioned preset scene construction rules to obtain the above-mentioned virtual learning scene.

[0048] It can be understood that the above virtual learning scene is formed based on the above preset scene construction rules and by combining and processing the above multiple virtual devices and the above interpretation information.

[0049] Optionally, there may be multiple ways to combine and process the above-mentioned multiple virtual devices and the above-mentioned interpretation information based on the above-mentioned preset scene construction rules. For example, based on the above-mentioned preset scene construction rules, multiple virtual devices and interpretation information are selected for the above-mentioned virtual learning scene to be constructed, and combined processing is performed to obtain a virtual facility formed by multiple virtual devices containing multiple virtual devices, which exists in the above-mentioned virtual learning scene for linkage operation.

[0050] In an optional embodiment, the above-mentioned virtual learning scene includes a first virtual learning scene and a second virtual learning scene, and the above-mentioned first virtual learning scene and the above-mentioned second virtual learning scene are different indoor and outdoor scenes. The above-mentioned method also includes: after the above-mentioned first virtual learning scene is executed, executing the above-mentioned second virtual learning scene.

[0051] It can be understood that the above-mentioned virtual learning scenes have a linkage relationship. After the currently executed virtual learning scene is completed (the above-mentioned first virtual learning scene), the next virtual learning scene with an associated relationship (the above-mentioned second virtual learning scene) is executed.

[0052] Optionally, there may be multiple execution modes for the above-mentioned execution modes. For example, the execution modes of various virtual learning scenes may be adjusted according to needs. Virtual learning scene A has three associated scenes: virtual learning scene B, virtual learning scene C, and virtual learning scene D. The execution mode may be to execute virtual learning scene B after executing virtual learning scene A, then return to virtual learning scene A, and continue to execute virtual learning scene C and virtual learning scene D. Another execution mode may be to execute virtual learning scene B after executing virtual learning scene A, and continue to execute virtual learning scene C and virtual learning scene D after executing virtual learning scene B. This is conducive to the flexible combination processing of multiple virtual learning scenes and improves the versatility of virtual learning scenes.

[0053] Based on the above embodiment and optional embodiment, the present invention proposes an optional implementation mode, which specifically comprises the following steps:

[0054] S1. Obtain the target learning project in the power system. For example, obtain the initial learning requirement as the training and practical demonstration functions of the energy storage system. Determine the evaluation indicators corresponding to the training and practical demonstration functions of the energy storage system as the risk indicator, complexity indicator, and their corresponding weight values. For example, the weight value corresponding to the risk indicator of the energy storage system training is 3, and the weight value corresponding to the complexity indicator is 2; the weight value corresponding to the risk indicator of the practical demonstration function is 4, and the weight value corresponding to the complexity indicator is 3. By using the method of weighted summation, the evaluation result of the energy storage system training is obtained as 5, and the evaluation result of the practical demonstration function is 6. The preset evaluation condition is to judge whether the obtained evaluation results are not less than 5. Obviously, the energy storage system training and practical display functions can be used as the target learning project.

[0055] S2. Obtain the view materials and text materials corresponding to the energy storage system training and practical demonstration functions. The obtained view materials, such as the structure diagram in the energy storage system, the external shape diagram of the energy storage equipment, the external shape diagram of the common operation tools, and their corresponding digital models, etc. The obtained text materials, such as the introduction of the energy storage system, the operation manual of the energy storage equipment, the brief description of the common operation process, etc.

[0056] S3. Based on the above view materials, generate multiple virtual devices in the to-be-constructed virtual energy storage system corresponding to the actual energy storage system and practical demonstration functions. For example, the actual energy storage system corresponds to virtual device 1, and the practical demonstration function corresponds to virtual devices 2 and 3.

[0057] S4. Based on the above text materials, generate the interpretation information corresponding to virtual devices 1, 2, and 3 respectively. For example, virtual device 1 corresponds to the introduction of the energy storage system, virtual device 2 corresponds to the operation manual of the energy storage equipment, and virtual device 3 corresponds to the common operation process.

[0058] S5. Based on virtual device 1 and the corresponding introduction of the energy storage system, construct virtual learning scenario 1; obtain the preset scenario construction rules, and perform combined processing based on virtual device 2 and the corresponding operation manual of the energy storage equipment, virtual device 3 and the corresponding common operation process to obtain virtual learning scenario 2.

[0059] S6. Virtual learning scenario 1 and virtual learning scenario 2 have a linkage relationship. After executing the above virtual learning scenario 1, execute virtual learning scenario 2.

[0060] From the above optional implementation manners, repeated training and learning can be carried out in a safe virtual learning scenario, simulating the problems actually encountered, and combining theoretical knowledge with the actual working scenario, which is beneficial to reducing the training cycle and training cost.

[0061] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0062] In this embodiment, a virtual learning scenario construction device based on a power system is also provided. This device is used to implement the above embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the terms "module" and "device" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0063] According to an embodiment of the present invention, an apparatus embodiment for implementing a method for constructing a virtual learning scenario based on a power system is also provided. Figure 2 is a schematic diagram of a virtual learning scenario construction device based on a power system according to an embodiment of the present invention, as Figure 2 shown, the above-mentioned virtual learning scenario construction device based on a power system includes a first acquisition module 202, a second acquisition module 204, a first generation module 206, a second generation module 208, and a third generation module 210, and an explanation of this device will be given.

[0064] The first acquisition module 202 is used to acquire a target learning item in the power system, where the above-mentioned target learning item corresponds to an actual application scenario of the above-mentioned power system;

[0065] The second acquisition module 204 is connected to the first acquisition module 202 and is used to acquire view materials and text materials corresponding to the above-mentioned target learning item;

[0066] The first generation module 206 is connected to the second acquisition module 204 and is used to generate a plurality of virtual devices in the to-be-constructed virtual learning scenario corresponding to the above-mentioned actual application scenario based on the above-mentioned view materials;

[0067] The second generation module 208 is connected to the first generation module 206 and is used to generate interpretation information corresponding to the above-mentioned plurality of virtual devices based on the above-mentioned text materials, where the above-mentioned interpretation information at least includes: brief introduction information and operation information corresponding to the above-mentioned plurality of virtual devices;

[0068] The third generation module 210 is connected to the second generation module 208 and is used to construct the above-mentioned virtual learning scenario based on the above-mentioned plurality of virtual devices and the above-mentioned interpretation information corresponding to the above-mentioned plurality of virtual devices.

[0069] In a virtual learning scenario construction device based on a power system provided by an embodiment of the present invention, by setting a first acquisition module 202 for acquiring a target learning item in the power system, where the target learning item corresponds to an actual application scenario of the power system; a second acquisition module 204 connected to the first acquisition module 202 for acquiring view materials and text materials corresponding to the target learning item; a first generation module 206 connected to the second acquisition module 204 for generating a plurality of virtual devices in a to-be-constructed virtual learning scenario corresponding to the actual application scenario based on the view materials; a second generation module 208 connected to the first generation module 206 for generating interpretation information corresponding to the plurality of virtual devices based on the text materials, where the interpretation information at least includes: brief introduction information and operation information corresponding to the plurality of virtual devices; a third generation module 210 connected to the second generation module 208 for constructing the virtual learning scenario based on the plurality of virtual devices and the interpretation information corresponding to the plurality of virtual devices. It achieves the purpose of generating a virtual learning scenario that combines theory with actual operation, ensuring that relevant personnel can perform operation learning in a safe environment, realizing the technical effect of ensuring the safety of power system training learning and reducing training costs, and further solving the technical problem that in related technologies, training relevant personnel using an actual power system learning scenario has high training costs and certain potential safety hazards.

[0070] As an optional embodiment, the virtual learning scenario construction device based on a power system provided by an embodiment of the present invention further includes: a third acquisition module for acquiring an initial learning requirement in the power system;

[0071] A determination module 212 for determining a plurality of evaluation indicators corresponding to the initial learning requirement, and a plurality of weight values corresponding to the plurality of evaluation indicators respectively;

[0072] A calculation module 214 connected to the determination module 212 for calculating an evaluation result of the initial learning requirement based on the plurality of evaluation indicators and the plurality of weight values corresponding to the plurality of evaluation indicators respectively;

[0073] A judgment module 216 connected to the calculation module 214 for, if the evaluation result meets a preset evaluation condition, determining the initial learning requirement as a target learning item.

[0074] It should be noted that the above-mentioned various modules can be implemented by software or hardware. For example, for the latter, it can be achieved in the following way: the above-mentioned various modules can be located in the same processor; or, the above-mentioned various modules are located in different processors in any combination.

[0075] It should be noted that the above-mentioned first acquisition module 202, second acquisition module 204, first generation module 206, second generation module 208, and third generation module 210 correspond to steps S102 to S110 in the embodiment. The examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the content disclosed in the above embodiment. It should be noted that the above modules, as part of the device, can run in a computer terminal.

[0076] It should be noted that the optional or preferred implementation manners of this embodiment can be referred to the relevant descriptions in the embodiment, and will not be repeated here.

[0077] The above-mentioned virtual learning scenario construction device based on the power system may further include a processor and a memory. The first acquisition module 202, second acquisition module 204, first generation module 206, second generation module 208, third generation module 210, etc. are all stored in the memory as program units, and the corresponding functions are realized by the processor executing the above program units stored in the memory.

[0078] The processor contains a kernel, and the kernel retrieves the corresponding program units from the memory. One or more kernels can be set. 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, for example, read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one storage chip.

[0079] An embodiment of the present invention provides a non-volatile storage medium, on which a program is stored, and when the program is executed by a processor, a virtual learning scenario construction method based on a power system is realized.

[0080] As Figure 3 shown, an embodiment of the present invention provides an electronic device. The electronic device 10 includes a processor, a memory, and a program stored on the memory and executable on the processor. When the processor executes the program, the following steps are realized: obtaining a target learning project in the power system, where the above-mentioned target learning project corresponds to the actual application scenario of the above-mentioned power system; obtaining view materials and text materials corresponding to the above-mentioned target learning project; generating a plurality of virtual devices in a virtual learning scenario to be constructed corresponding to the above-mentioned actual application scenario based on the above-mentioned view materials; generating interpretation information corresponding to the above-mentioned plurality of virtual devices based on the above-mentioned text materials, where the above-mentioned interpretation information at least includes: profile information and operation information corresponding to the above-mentioned plurality of virtual devices; constructing the above-mentioned virtual learning scenario based on the above-mentioned plurality of virtual devices and the above-mentioned interpretation information corresponding to the above-mentioned plurality of virtual devices. The device herein can be a server, a PC, etc.

[0081] The present invention also provides a computer program product, which, when executed on a data processing device, is adapted to execute a program initialized with the following method steps: obtaining a target learning item in a power system, where the target learning item corresponds to an actual application scenario of the power system; obtaining view materials and text materials corresponding to the target learning item; generating a plurality of virtual devices in a to-be-constructed virtual learning scenario corresponding to the actual application scenario based on the view materials; generating interpretation information corresponding to the plurality of virtual devices based on the text materials, where the interpretation information at least includes: brief introduction information and operation information corresponding to the plurality of virtual devices; and constructing the virtual learning scenario based on the plurality of virtual devices and the interpretation information corresponding to the plurality of virtual devices.

[0082] Optionally, the computer program product is further adapted to execute a program initialized with the following method steps: the obtaining a target learning item in a power system includes: obtaining an initial learning requirement in the power system; determining a plurality of evaluation indicators corresponding to the initial learning requirement, and a plurality of weight values respectively corresponding to the plurality of evaluation indicators; calculating an evaluation result of the initial learning requirement based on the plurality of evaluation indicators and the plurality of weight values respectively corresponding to the plurality of evaluation indicators; and if the evaluation result meets a preset evaluation condition, determining the initial learning requirement as the target learning item.

[0083] Optionally, the computer program product is further adapted to execute a program initialized with the following method steps: the constructing the virtual learning scenario based on the plurality of virtual devices and the interpretation information corresponding to the plurality of virtual devices includes: classifying the plurality of virtual devices and the interpretation information by using a preset recognition algorithm to obtain classified plurality of virtual devices and classified interpretation information; and constructing the virtual learning scenario based on the classified plurality of virtual devices and the classified interpretation information.

[0084] Optionally, the computer program product is further adapted to execute a program initialized with the following method steps: the constructing the virtual learning scenario based on the classified plurality of virtual devices and the classified interpretation information includes: obtaining a first classification label corresponding to the classified plurality of virtual devices and a second classification label corresponding to the classified interpretation information; dividing the classified plurality of virtual devices into a plurality of first confidentiality levels according to the first classification label, and dividing the classified interpretation information into a plurality of second confidentiality levels according to the second classification label, where the plurality of first confidentiality levels and the plurality of second confidentiality levels correspond to different access permissions; and constructing the virtual learning scenario based on the classified plurality of virtual devices and the corresponding plurality of first confidentiality levels, and the classified interpretation information and the corresponding plurality of second confidentiality levels.

[0085] Optionally, the above computer program product is also applicable to execute a program initialized with the following method steps: Based on the above multiple virtual devices and the above paraphrase information, construct the above virtual learning scenario, including: obtaining a preset scenario construction rule; performing a combination process on the above multiple virtual devices and the above paraphrase information based on the above preset scenario construction rule to obtain the above virtual learning scenario.

[0086] Optionally, the above computer program product is also applicable to execute a program initialized with the following method steps: The above virtual learning scenario includes a first virtual learning scenario and a second virtual learning scenario, and the first virtual learning scenario and the second virtual learning scenario are different scenarios indoors and outdoors. The method further includes: after the execution of the first virtual learning scenario is completed, executing the second virtual learning scenario.

[0087] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0088] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0089] These computer program instructions can 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 generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0090] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, causing a series of operational steps to be performed on the computer or other programmable apparatus to generate a computer-implemented process, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one process Figure 1 one process or a plurality of processes and / or boxes Figure 1 steps for implementing the functions specified in one box or a plurality of boxes.

[0091] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0092] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0093] Computer-readable media includes both permanent and non-permanent, removable and non-removable media implemented by any method or technology for storing 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 technologies, compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0094] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device including the element.

[0095] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0096] The above are only the embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, various modifications and changes can be made to the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A method for constructing a virtual learning scenario based on a power system, characterized in that, Including: Obtain a target learning item in the power system, where the target learning item corresponds to the actual application scenario of the power system; Obtain the view materials and text materials corresponding to the target learning item; Generate multiple virtual devices in the to-be-constructed virtual learning scenario corresponding to the actual application scenario based on the view materials; Generate paraphrase information corresponding to the multiple virtual devices based on the text materials, where the paraphrase information at least includes: introduction information and operation information corresponding to the multiple virtual devices; Construct the virtual learning scenario based on the multiple virtual devices and the paraphrase information corresponding to the multiple virtual devices; Wherein, the constructing the virtual learning scenario based on the multiple virtual devices and the paraphrase information corresponding to the multiple virtual devices includes: using a preset recognition algorithm to classify the multiple virtual devices and the paraphrase information to obtain the classified multiple virtual devices and the classified paraphrase information; constructing the virtual learning scenario based on the classified multiple virtual devices and the classified paraphrase information; Wherein, the constructing the virtual learning scenario based on the classified multiple virtual devices and the classified paraphrase information includes: obtaining a first classification label corresponding to the classified multiple virtual devices and a second classification label corresponding to the classified paraphrase information; dividing the classified multiple virtual devices into multiple first confidentiality levels according to the first classification label, and dividing the classified paraphrase information into multiple second confidentiality levels according to the second classification label, where the multiple first confidentiality levels and the multiple second confidentiality levels correspond to different access permissions; constructing the virtual learning scenario based on the classified multiple virtual devices and the corresponding multiple first confidentiality levels, and the classified paraphrase information and the corresponding multiple second confidentiality levels.

2. The method according to claim 1, wherein The obtaining the target learning item in the power system includes: Obtain the initial learning requirements in the power system; Determine multiple evaluation indicators corresponding to the initial learning requirements, and multiple weight values respectively corresponding to the multiple evaluation indicators; Calculate the evaluation result of the initial learning requirements based on the multiple evaluation indicators and the multiple weight values respectively corresponding to the multiple evaluation indicators; If the evaluation result meets the preset evaluation conditions, determine the initial learning requirements as the target learning item.

3. The method according to claim 1, wherein The constructing the virtual learning scenario based on the multiple virtual devices and the paraphrase information includes: Obtain a preset scenario construction rule; Perform a combination process on the multiple virtual devices and the paraphrase information based on the preset scenario construction rule to obtain the virtual learning scenario.

4. The method according to any one of claims 1 to 3, characterized in that The virtual learning scenario includes a first virtual learning scenario and a second virtual learning scenario, where the first virtual learning scenario and the second virtual learning scenario are different scenarios indoors and outdoors, and the method further includes: After the execution of the first virtual learning scenario is completed, execute the second virtual learning scenario.

5. A virtual learning scenario construction device based on a power system, characterized in that, Including: A first acquisition module, configured to acquire a target learning item in the power system, where the target learning item corresponds to an actual application scenario of the power system; A second acquisition module, configured to acquire view materials and text materials corresponding to the target learning item; A first generation module, configured to generate a plurality of virtual devices in a to-be-constructed virtual learning scenario corresponding to the actual application scenario based on the view materials; A second generation module, configured to generate paraphrase information corresponding to the plurality of virtual devices based on the text materials, where the paraphrase information at least includes: brief introduction information and operation information corresponding to the plurality of virtual devices; A third generation module, configured to construct the virtual learning scenario based on the plurality of virtual devices and the paraphrase information corresponding to the plurality of virtual devices; Wherein, the third generation module is further configured to perform classification processing on the plurality of virtual devices and the paraphrase information by using a preset recognition algorithm to obtain classified plurality of virtual devices and classified paraphrase information; and construct the virtual learning scenario based on the classified plurality of virtual devices and the classified paraphrase information; Wherein, the device is further configured to acquire a first classification label corresponding to the classified plurality of virtual devices and a second classification label corresponding to the classified paraphrase information; divide the classified plurality of virtual devices into a plurality of first confidentiality levels according to the first classification label, and divide the classified paraphrase information into a plurality of second confidentiality levels according to the second classification label, where the plurality of first confidentiality levels and the plurality of second confidentiality levels correspond to different access permissions; and construct the virtual learning scenario based on the classified plurality of virtual devices and the corresponding plurality of first confidentiality levels, and the classified paraphrase information and the corresponding plurality of second confidentiality levels.

6. The device according to claim 5, characterized in that, The device further includes: A third acquisition module, configured to acquire an initial learning requirement in the power system; A determination module, configured to determine a plurality of evaluation indicators corresponding to the initial learning requirement, and a plurality of weight values respectively corresponding to the plurality of evaluation indicators; A calculation module, configured to calculate an evaluation result of the initial learning requirement based on the plurality of evaluation indicators and the plurality of weight values respectively corresponding to the plurality of evaluation indicators; A judgment module, configured to, if the evaluation result meets a preset evaluation condition, determine the initial learning requirement as a target learning item.

7. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a plurality of instructions, and the instructions are adapted to be loaded and executed by a processor to perform the method for constructing a virtual learning scenario based on a power system according to any one of claims 1 to 4.

8. An electronic device, characterized in that, Including: One or more processors and a memory, where the memory is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for constructing a virtual learning scenario based on a power system according to any one of claims 1 to 4.

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