CN111862715A - Anti-icing operation authorization training evaluation system based on VR technology - Google Patents
Anti-icing operation authorization training evaluation system based on VR technology Download PDFInfo
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Abstract
The invention relates to an anti-icing operation authorization training evaluation system based on VR technology, comprising: the courseware calling module is used for selecting courseware according to the user instruction, and the courseware comprises virtual strengthening courseware and virtual checking courseware; the virtual strengthening module is used for training the anti-icing operation knowledge and skill of the user in a first virtual scene when the user selects a virtual strengthened courseware; and the examination module is used for examining the anti-icing operation knowledge and skill of the user in the second virtual scene when the user selects the examination courseware. In the virtual strengthening module, the user can better know the operation flow and the attention through the explanation + interaction mode, so that the anti-icing operation capability of line operators is better improved. The user can check the learned operation method and work flow in the assessment module, the user can learn for multiple times in a virtual reality scene, and errors are reduced by adapting the user to the operation mode in a real environment in a learning and assessment mode.
Description
Technical Field
The invention relates to the technical field of simulation training, in particular to an anti-icing operation authorization training evaluation system based on VR technology.
Background
If the power system is compared with a human, the power transmission line is equivalent to a blood vessel in the power system, and the guarantee of the normal work of the power transmission line is important for the power system. The transmission lines are distributed all over the country, and the operation and inspection work of the transmission lines also needs to be focused according to the geographic characteristics of all regions. In a specific area, ice disasters have great influence on a power transmission line, the technical skill requirements on maintainers are high, and the training mode in a real environment is usually adopted at present, so that the training efficiency is low and the safety risk is high.
Disclosure of Invention
Aiming at the technical problem, the invention provides an anti-icing operation authorization training evaluation system based on a VR technology.
The technical scheme for solving the technical problems is as follows:
an anti-icing operation authorization training evaluation system based on VR technology includes:
the courseware calling module is used for selecting courseware according to a user instruction, and the courseware comprises virtual strengthening courseware and virtual checking courseware;
the virtual strengthening module is used for training the anti-icing operation knowledge and skill of the user in a first virtual scene when the user selects a virtual strengthened courseware;
and the examination module is used for examining the anti-icing operation knowledge and skill of the user in the second virtual scene when the user selects the examination courseware.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the first virtual scene comprises an operation equipment explanation scene, and the virtual strengthening module is specifically used for prompting the user to learn to move when the user enters the operation equipment explanation scene, prompting the user to learn to grab a tool when the user moves to the front of the tool box, and entering the next first virtual scene when the user finishes grabbing operation, or directly entering the next first virtual scene when the user selects to skip scenes.
Further, the first virtual scene comprises an ice observation knowledge learning scene, and the virtual strengthening module is specifically used for introducing four scenes of rime, mixing rime and snow to the user when the user enters the ice observation knowledge learning scene, and after introduction is finished, entering the next first virtual scene.
Further, the first virtual scene includes an inter-tool scene, and the virtual strengthening module is specifically configured to prompt the user to select a tool and place a required tool in a tool box when the user enters the inter-tool scene, and enter a next first virtual scene when the user successfully places all tools in the tool box and moves to a transfer position at a tool gate in the inter-tool scene.
Further, the first virtual scene comprises an environment measurement scene, and the virtual strengthening module is specifically used for prompting a user to perform safety confirmation when the user enters the environment measurement scene, then prompting the user to sequentially pick up a thermometer to perform environment temperature measurement, record temperature measurement data and grab a camera to perform local and long-range photo shooting, and entering the next first virtual scene after user operation is completed.
Further, the first virtual scene comprises an ice and snow observation scene, the ice and snow observation scene comprises a rime ice sample observation scene, a mixed rime ice sample observation scene and an snow observation scene, and the virtual strengthening module is specifically used for performing three measurement steps of long and short diameter measurement, weighing measurement and measurement ending when a user enters the ice and snow observation scene;
the step of measuring the long and short diameters comprises the following steps: prompting the operation specification of long and short diameter measurement, then prompting to select three measurement points through voice and a UI interface, respectively measuring at the three measurement points by using a vernier caliper, and recording long and short diameter measurement data;
the step of weighing measurement comprises: prompting the operation specification of weighing measurement, then using ice boxes to take ice and using scales to be heavy at three measuring points respectively, and recording weighing measurement data;
the step of measuring the ending comprises: the method comprises the steps of shooting an ice breaking section by using a camera, measuring wind speed by using an anemometer, measuring temperature by using a thermometer, and recording measurement data of the wind speed and the temperature.
Further, the second virtual scene comprises a basic knowledge assessment scene, and the virtual assessment module is specifically used for displaying an answer interface to a user when the user enters the basic knowledge assessment scene, and answering according to user operation.
Further, the second virtual scene comprises a tool selection assessment scene, and the virtual assessment module is specifically used for assessing the user according to the operation conditions of wearing the protection tool and selecting the anti-icing operation tool performed by the user within a set time when the user enters the virtual assessment module.
Further, the second virtual scene comprises an anti-icing operation examination scene, and the virtual examination module is specifically used for randomly appearing one of the examination scenes of rime, mixed rime and snow when the user enters the anti-icing operation examination scene, and examining the user according to the completion condition of the examination task in the scene appeared by the user within the set time.
The invention has the beneficial effects that: in the virtual strengthening module, a user can better know operation flows and cautions through an explanation + interaction mode, so that the anti-icing operation capacity of line operators is better improved. The user can check the operation method and the work flow learned by the user in the virtual strengthening module in the assessment module, the user can learn for multiple times in a virtual reality scene, and the error is reduced by adapting the operation mode of the user in a real environment through the learning and assessment modes.
Drawings
Fig. 1 is a block diagram of an anti-icing work authorization training evaluation system based on VR technology according to an embodiment of the present invention;
FIG. 2 is a flowchart of functional steps of an anti-icing operation authorization training evaluation system based on VR technology according to an embodiment of the present invention;
fig. 3 is a flowchart of a work flow in an explanation scenario of an operating device according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating the operation of an ice-viewing knowledge learning scenario according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a workflow under an inter-tool scenario provided by an embodiment of the present invention;
fig. 6 is a flowchart of a work flow in an environment measurement scenario according to an embodiment of the present invention;
FIG. 7 is a flowchart illustrating a task performed in a rime ice sample observation scenario according to an embodiment of the present invention;
FIG. 8 is a flowchart illustrating a task performed in a rime ice sample observation scenario according to an embodiment of the present invention;
fig. 9 is a flowchart illustrating a work flow in an observation scene of a mixed rime ice sample according to an embodiment of the present invention;
fig. 10 is a flowchart of a work flow in a snow observation scene according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a structural block diagram of an anti-icing operation authorization training evaluation system based on VR technology according to an embodiment of the present invention, and the system may be designed and manufactured with reference to a line anti-icing requirement in the enterprise standard of super-high voltage transmission company, i.e., the anti-icing service instruction book of super-high voltage transmission company, of south china power grid limited responsibility company, and a power transmission line scene and a power transmission line anti-icing maintenance operation flow are established and restored through a model. This system needs the user to wear virtual reality and equips, like VR glasses etc to the cooperation handle is operated, and the handle divide into the left and right hands, and left hand handle operatable removes, and right hand handle operatable is mutual. The user can move or perform interactive actions such as movement, selection, touch and the like through the handle in a scene, and can learn or check the learned anti-icing operation capability through the handle selection tool after selecting to enter the scene.
As shown in fig. 1, the system includes:
the courseware calling module 101 is used for selecting courseware according to a user instruction, and the courseware comprises virtual strengthening courseware and virtual checking courseware;
specifically, as shown in fig. 2, the user can start the simulation interactive operation by wearing the virtual reality device to enter the system, and in the module, the courseware calling function is executed.
The virtual strengthening module 102 is used for training the anti-icing operation knowledge and skill of the user in a first virtual scene when the user selects the virtual strengthened courseware;
specifically, as shown in fig. 2, when the user selects a virtual enhanced courseware, the user enters the operation device in sequence to explain scene learning movement and grasping tools, learns rime knowledge, rime mixing knowledge and snow accumulation knowledge in an ice observation knowledge learning scene, learns selecting tool operation in an inter-tool scene, performs anti-icing operation in an anti-icing operation scene, and then performs rime observation operation, rime mixing observation operation and snow accumulation observation operation in sequence.
In the virtual strengthening module, a user can better know operation flows and cautions through an explanation + interaction mode, so that the anti-icing operation capacity of line operators is better improved.
And the assessment module 103 is used for assessing the anti-icing work knowledge and skill of the user in the second virtual scene when the user selects the virtual assessment courseware.
Specifically, as shown in fig. 2, when the user selects the virtual assessment courseware, the user is sequentially subjected to basic knowledge assessment operation, tool selection assessment operation and anti-icing operation assessment.
In the assessment module, a user can check the operation method and the work flow learned by the user in the virtual enhancement module, the user can learn for multiple times in a virtual reality scene, and the error is reduced by adapting the operation mode of the user in a real environment through the learning and assessment modes.
Optionally, in this embodiment, the first virtual scene includes an operation device explanation scene, in this scene, the experiencer learns the operation scene of watching ice according to voice and picture prompts, the learning panel provides two options, after learning is completed, the handle is available for moving by clicking the "continue next step" button, and when the user moves to the halo in front of the toolbox, the learning guidance panel emerges. So as to know how to control the vernier caliper through the controller. After learning is finished, the next experience can be entered for learning. And if clicking to skip the scene, directly entering the subsequent learning scene. The working logic is as shown in fig. 3, when the user enters the explanation scene of the operating device, the user is prompted to learn to move, when the user moves to the front of the toolbox, the user is prompted to learn to grab the tool, when the user finishes the grabbing operation, the next first virtual scene is entered, or when the user chooses to skip the scene, the next scene is directly entered.
Optionally, in this embodiment, the first virtual scene includes an ice observation knowledge learning scene, in which a rime picture appears before a user, then the system starts to introduce the rime, and after the introduction is completed, the rime picture disappears and enters a next lens. The rime picture appears in front of the eyes of the user, and then the system starts to introduce the rime. After the introduction is finished, the rime picture disappears and enters the next lens. The mixed rime picture appears in front of the eyes of the user, and then the system starts to introduce the mixed rime. And after introduction is finished, the mixed freezing picture disappears, and the next lens is entered. The user appears a snow picture before the eyes, and then the system starts introducing snow. And after introduction is finished, switching to the next scene. The flow is shown in fig. 4.
Optionally, in this embodiment, the first virtual scenario includes an inter-tool scenario, a cabinet of the inter-tool scenario stores various tools, and a user needs to select a tool according to a prompt and place the required tool in a toolbox. And according to the UI prompt, after the corresponding tool is successfully put into the tool box, the corresponding tool name in the UI form is changed into green. When all tools are picked up, the transmitting halo appears at the door of the tool room. The next scene can be entered by utilizing the moving function of the handle. The operational flow is shown in fig. 5.
Optionally, in this embodiment, the first virtual scene includes an environment measurement scene, the user enters an iced line scene, the scene has models such as an iced line, a tower, a simulated iced conductor, a vegetation, a toolbox, and the like, a safety information prompt box is seen in front of the scene, and the system can operate after playing the prompt information, and firstly, safety confirmation is performed. Confirm that the protective tools are worn, confirm that standing ice has been processed, confirm the climbing tools to stabilize the hypothesis. And measuring the temperature according to the set time after the thermometer is picked up. And recording the obtained data. And then capturing the camera according to the prompt, and taking the local and distant photos. After the operation is completed, the next scene can be entered, and the detailed operation flow is shown in fig. 6.
Optionally, in this embodiment, the first virtual scene includes an ice and snow observation scene, where the ice and snow observation scene includes a rime ice sample observation scene, a mixed rime ice sample observation scene, and an snow observation scene, which are respectively introduced as follows:
three main measurement steps of long and short diameter measurement, weighing measurement and measurement ending are carried out in a soft ice sample observation scene. The prompt operation specification will appear when entering the scene. After reading, the reading device can move, 3 measuring points are selected according to voice and UI (user interface) prompts of a system, a vernier caliper is used for measuring the three measuring points, the middle section of a lead is selected during measurement, and the measurement precision is millimeter. And moving to a point with the same length and the same short diameter for ice taking operation during weighing measurement, weighing by using an electronic scale after ice taking is finished, and recording data. When the measurement ending work is carried out, a user needs to shoot a freezing point removing ice section, measure the wind speed by using an anemometer, measure the environment humidity by using a hygrometer and record data after the operation is finished. After the work is finished, 4 transmitting apertures appear in front of the user, namely [ exit courseware ], [ snow measuring scene ], [ rime ice sample measuring scene ], [ mix freezing ice sample measuring scene ], and the user performs instantaneous movement operation through a left hand handle to select a corresponding scene to enter. The detailed operation flow is shown in fig. 7.
Three main measurement steps of long and short diameter measurement, weighing measurement and measurement ending are carried out in a rime ice sample observation scene. The prompt operation specification will appear when entering the scene. After reading, the reading device can move, 3 measuring points are selected according to voice and UI (user interface) prompts of a system, a vernier caliper is used for measuring the three measuring points, the middle section of a lead is selected during measurement, and the measurement precision is millimeter. And moving to a point with the same length and the same short diameter for ice taking operation during weighing measurement, weighing by using an electronic scale after ice taking is finished, and recording data. When the measurement ending work is carried out, a user needs to shoot a freezing point removing ice section, measure the wind speed by using an anemometer, measure the environment humidity by using a hygrometer and record data after the operation is finished. After the work is finished, 4 transmitting light rings appear in front of the user, namely [ exit courseware ], [ rime measuring scene ], [ snow measuring scene ], [ mixed rime ice sample measuring scene ], and the user performs instantaneous movement operation through a left hand handle to select a corresponding scene to enter. The detailed operation flow is shown in fig. 8.
Three main measurement steps of long and short diameter measurement, weighing measurement and measurement ending are carried out in a mixed freezing ice sample observation scene. The prompt operation specification will appear when entering the scene. After reading, the reading device can move, 3 measuring points are selected according to voice and UI (user interface) prompts of a system, a vernier caliper is used for measuring the three measuring points, the middle section of a lead is selected during measurement, and the measurement precision is millimeter. And moving to a point with the same length and the same short diameter for ice taking operation during weighing measurement, weighing by using an electronic scale after ice taking is finished, and recording data. When the measurement ending work is carried out, a user needs to shoot a freezing point removing ice section, measure the wind speed by using an anemometer, measure the environment humidity by using a hygrometer and record data after the operation is finished. After the work is finished, 4 transmitting light rings appear in front of eyes of a user, namely [ quit a courseware ], [ rime measuring scene ], [ snow measuring scene ], [ rime ice sample measuring scene ], and the user performs transient movement operation through a left hand handle and selects a corresponding scene to enter. The detailed operation flow is shown in fig. 9.
Three main measurement steps of long and short diameter measurement, weighing measurement and measurement ending are carried out in an accumulated snow observation scene. The prompt operation specification will appear when entering the scene. After reading, the reading device can move, 3 measuring points are selected according to voice and UI (user interface) prompts of a system, a vernier caliper is used for measuring the three measuring points, the middle section of a lead is selected during measurement, and the measurement precision is millimeter. And moving to a point with the same length and the same short diameter for ice taking operation during weighing measurement, weighing by using an electronic scale after ice taking is finished, and recording data. When the measurement ending work is carried out, a user needs to shoot a freezing point removing ice section, measure the wind speed by using an anemometer, measure the environment humidity by using a hygrometer and record data after the operation is finished. After the work is finished, 4 transmitting light rings appear in front of the user, namely [ text quit ], [ rime measuring scene ], [ mixed rime measuring scene ], [ rime ice sample measuring scene ], and the user performs transient movement operation through a left hand handle to select a corresponding scene to enter. The detailed operation flow is shown in fig. 10.
Optionally, in this embodiment, the second virtual scene includes a basic knowledge assessment scene, and the virtual assessment module is specifically configured to display an answer interface to the user when the user enters the basic knowledge assessment scene, and answer the question according to the user operation.
Optionally, in this embodiment, the second virtual scene includes a tool selection assessment scene, and the virtual assessment module is specifically configured to assess the user according to the operation conditions of wearing the protection tool and selecting the anti-icing operation tool performed by the user within a set time when the user enters the virtual assessment module.
Optionally, in this embodiment, the second virtual scene includes an anti-icing operation assessment scene, and the virtual assessment module is specifically configured to randomly present one of an assessment scene of rime, mixed rime, and snow when the user enters the anti-icing operation assessment scene, and assess the user according to a completion condition of an assessment task in the presented scene by the user within a set time.
The realization of the system requires the construction of a 3D model, which is an essential element for the establishment of the whole virtual reality scene. The virtual reality technology is utilized to simulate things in the real world in a virtual digital space, integrates multiple subjects such as digital image processing, computer graphics, multimedia technology, sensing and measuring technology, simulation and artificial intelligence and the like, and establishes a vivid, virtual and interactive three-dimensional space environment for people. Only a fine and vivid model can construct a scene which can make the user personally on the scene. However, if the model and the scene are too fine, the data size is too large, and a disaster is brought to the virtual reality application system. The data volume is as small as possible under the condition that the quality of the model is ensured in the modeling work of the virtual reality.
The specific manufacturing process of the 3D model is as follows:
1) and placing a light and a camera, wherein the light production is the basis for reconstructing an object model in the three-dimensional production, and other work flows depend on the object model. After the scene is set, the needed model can be created in the scene. Objects can also be transformed into a variety of editable surface types, starting from different 3D geometry primitive volumes, and then further modeled by stretching vertices and using other tools.
2) And using the material, after the model is established, designing the material by using a material editor, and endowing the designed material to the model in the scene, so that the established model has real texture.
3) The key components play a crucial role in representing scene atmosphere and the like. After the material is manufactured, the lamp and the camera can be placed in the scene, so that the material is really displayed on the surface of the model,
4) setting scene animation, if the created scene needs to be shown in an animation mode, using the animation setting function in 3dsMax to create the animation effect of the model in the scene.
And rendering the scene, wherein rendering refers to calculating the settings of environments such as brightness, shadow, background, atmosphere and the like according to the specified material and the lighting of the scene, so as to display the geometric solids created in the scene in an materialized manner.
Note that:
1) the unit and the proportion, the size and the unit are required to be set before modeling, the unit setting in the same scene must be the same, and the proportion of the model and the model quality inspection is required to be correct.
2) The axes and the faces are counted, and all the character models stand at the original points. Without specific requirement, the center of the object must be the axis. The surface number controls that a single object is normally controlled below 1000 surfaces, the whole screen is controlled below 7500 surfaces, and all objects are not more than 20000 triangular surfaces.
3) Texture maps, where not all textures are supported by Unity3D software in 3dMax, but only Standard and Multi/Sub-Objiect are supported by Unity3d software.
4) The format of the map file, jpg without channels in the original map, 32 bits of tga or png with channels, the maximum size of which exceeds 2048, the size of the map file must be 2 to the power of N (8, 16, 32, 64, 128, 256, 512, 1024) and the maximum map size cannot exceed 4096x4096, and the size can be adjusted within these ranges in special cases.
The development of project functions is developed by adopting a Unity3D engine platform, and C # language coding is adopted according to the detailed design scheme of the project, so that objects and UI interfaces can interact and move, and the development is carried out according to the coding standard and specification of the augmented reality technology.
In the project, the handle is detected through rays, so that movement in a scene and handle interaction are realized. The ground movable area is controlled by the Navmash technology. In order to reduce the memory occupation and optimize the experience effect, a shielding rejection technology and an anti-aliasing technology are used, the edge smoothness is realized, the aliasing is eliminated, and the damage of image folding is resisted. If the loading of the resources is time-consuming, a synchronous method is adopted to generate a pause phenomenon, so that the scene switching is carried out in the system by an asynchronous loading technology, the asynchronous loading speed is high, and the asynchronous loading is unrelated to the main thread. Two triggering modes are used for interaction in the system, one is a ray, and the other is a trigger. The UI is selected to be larger in the main scene, the ray collision is used far, the pressing plate is smaller in the pressing plate putting operation, and the trigger can simulate the user to rotate the pressing plate by hand in a real environment.
The contents of the system test are as follows:
and (3) testing an admission standard: the developer finishes coding and finishes self-testing; the functions specified by the requirement specification or the functions of the function specification submitted by the programmer are realized; the basic flow can be flexible, the functions on the interface are all realized, and the functions meet the requirements of design documents.
Test pause criteria: when a software system is tested, if a program has a heavy bug (which affects basic functionality) or the bug is excessive, the test cannot be normally carried out, and a leader can apply for suspending the test; when the software project has important estimation and progress deviation in the development life cycle and needs to be paused or terminated, the test should be paused or terminated, and pause or termination point data is backed up.
Test recovery criteria: the big bug is solved or the program is revised again; and restarting the software project after the software project is adjusted, and starting the test task accordingly.
Test end criteria: the system test case design has passed review. And completing the system test according to the system test plan. All functions defined in the software requirement analysis specification are completely realized, and all performance indexes meet the requirements. The errors found in the system test are modified, and the defect repair rate of each level reaches the standard.
The reader should understand that in the description of this specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the modules and units in the above described system embodiment may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. The utility model provides an anti-icing operation authorizes training evaluation system based on VR technique which characterized in that includes:
the courseware calling module is used for selecting courseware according to a user instruction, and the courseware comprises virtual strengthening courseware and virtual checking courseware;
the virtual strengthening module is used for training the anti-icing operation knowledge and skill of the user in a first virtual scene when the user selects a virtual strengthened courseware;
and the examination module is used for examining the anti-icing operation knowledge and skill of the user in the second virtual scene when the user selects the virtual examination courseware.
2. The system of claim 1, wherein the first virtual scenario comprises an operating device explanation scenario, and the virtual augmentation module is specifically configured to prompt the user to learn to move when the user enters the operating device explanation scenario, prompt the user to learn to grab a tool when the user moves to a front of a toolbox, and enter a next first virtual scenario when the user completes a grab operation, or directly enter the next first virtual scenario when the user selects to skip a scenario.
3. The system of claim 1, wherein the first virtual scene includes an ice observation knowledge learning scene, and the virtual strengthening module is specifically configured to introduce four scenes of rime, mix rime, and snow to the user when the user enters the ice observation knowledge learning scene, and enter a next first virtual scene after the introduction is completed.
4. The system of claim 1, wherein the first virtual scenario comprises an inter-tool scenario, and the virtual enhancement module is specifically configured to prompt a user to select a tool and place a desired tool in a tool box when the user enters the inter-tool scenario, and to enter a next first virtual scenario when the user successfully places all tools in the tool box and moves to a transfer position at a tool door in the inter-tool scenario.
5. The system according to claim 1, wherein the first virtual scene comprises an environment measurement scene, and the virtual strengthening module is specifically configured to prompt a user to perform security confirmation when the user enters the environment measurement scene, and then prompt the user to sequentially perform taking up a thermometer to perform environment temperature measurement, recording temperature measurement data, and capturing a camera to perform local and distant photo shooting, and after the user operation is completed, enter a next first virtual scene.
6. The system according to claim 1, wherein the first virtual scene comprises an ice and snow observation scene, the ice and snow observation scene comprises a rime ice sample observation scene, a mixed rime ice sample observation scene and an snow observation scene, and the virtual strengthening module is specifically configured to perform three measurement steps of long and short diameter measurement, weighing measurement and measurement ending when a user enters the ice and snow observation scene;
the step of measuring the long and short diameters comprises the following steps: prompting the operation specification of long and short diameter measurement, then prompting to select three measurement points through voice and a UI interface, respectively measuring at the three measurement points by using a vernier caliper, and recording long and short diameter measurement data;
the step of weighing measurement comprises: prompting the operation specification of weighing measurement, then using ice boxes to take ice and using scales to be heavy at three measuring points respectively, and recording weighing measurement data;
the step of measuring the ending comprises: the method comprises the steps of shooting an ice breaking section by using a camera, measuring wind speed by using an anemometer, measuring temperature by using a thermometer, and recording measurement data of the wind speed and the temperature.
7. The system of claim 1, wherein the second virtual scenario comprises a basic knowledge assessment scenario, and the virtual assessment module is specifically configured to present an answer interface to the user when the user enters the basic knowledge assessment scenario, and answer the question according to a user operation.
8. The system of claim 1, wherein the second virtual scenario comprises a tool selection assessment scenario, and the virtual assessment module is specifically configured to assess a user according to an operation condition of wearing a protection tool and selecting an anti-icing operation tool performed by the user within a set time when the user enters the virtual assessment module.
9. The system according to claim 1, wherein the second virtual scene includes an anti-icing operation assessment scene, and the virtual assessment module is specifically configured to randomly present one of an assessment scene of rime, mixed rime, and snow when a user enters the anti-icing operation assessment scene, and assess the user according to a completion condition of an assessment task in the presented scene by the user within a set time.
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| CN202010732261.8A CN111862715A (en) | 2020-07-27 | 2020-07-27 | Anti-icing operation authorization training evaluation system based on VR technology |
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| CN202010732261.8A CN111862715A (en) | 2020-07-27 | 2020-07-27 | Anti-icing operation authorization training evaluation system based on VR technology |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609574A (en) * | 2012-01-19 | 2012-07-25 | 武汉大学 | Virtual reality simulation platform system with overhead power transmission conductor galloping and galloping preventing designs |
| CN106601062A (en) * | 2016-11-22 | 2017-04-26 | 山东科技大学 | Interactive method for simulating mine disaster escape training |
| CN108492661A (en) * | 2018-04-02 | 2018-09-04 | 四川中烟工业有限责任公司 | A kind of virtual experiment training system |
| CN110044336A (en) * | 2019-03-04 | 2019-07-23 | 中国南方电网有限责任公司超高压输电公司天生桥局 | A kind of contactless transmission line icing measurement method based on unmanned plane |
| CN110702015A (en) * | 2019-09-26 | 2020-01-17 | 中国南方电网有限责任公司超高压输电公司曲靖局 | Method and device for measuring icing thickness of power transmission line |
| CN110969905A (en) * | 2019-11-29 | 2020-04-07 | 塔普翊海（上海）智能科技有限公司 | Remote teaching interaction and teaching aid interaction system for mixed reality and interaction method thereof |
| CN111243368A (en) * | 2019-12-04 | 2020-06-05 | 东南大学 | Road emergency rescue VR training system |
-
2020
- 2020-07-27 CN CN202010732261.8A patent/CN111862715A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609574A (en) * | 2012-01-19 | 2012-07-25 | 武汉大学 | Virtual reality simulation platform system with overhead power transmission conductor galloping and galloping preventing designs |
| CN106601062A (en) * | 2016-11-22 | 2017-04-26 | 山东科技大学 | Interactive method for simulating mine disaster escape training |
| CN108492661A (en) * | 2018-04-02 | 2018-09-04 | 四川中烟工业有限责任公司 | A kind of virtual experiment training system |
| CN110044336A (en) * | 2019-03-04 | 2019-07-23 | 中国南方电网有限责任公司超高压输电公司天生桥局 | A kind of contactless transmission line icing measurement method based on unmanned plane |
| CN110702015A (en) * | 2019-09-26 | 2020-01-17 | 中国南方电网有限责任公司超高压输电公司曲靖局 | Method and device for measuring icing thickness of power transmission line |
| CN110969905A (en) * | 2019-11-29 | 2020-04-07 | 塔普翊海（上海）智能科技有限公司 | Remote teaching interaction and teaching aid interaction system for mixed reality and interaction method thereof |
| CN111243368A (en) * | 2019-12-04 | 2020-06-05 | 东南大学 | Road emergency rescue VR training system |
Non-Patent Citations (2)
| Title |
|---|
| 李伟 等: "一种虚拟现实技术的可视化变电设备故障分析系统研究", 《电工材料》 * |
| 马骁旭 等: "输电线路运检三维仿真培训系统的设计与开发探讨", 《中国电力教育》 * |
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