CN112528498A - Power distribution typhoon emergency rescue risk simulation identification method for teaching - Google Patents
Power distribution typhoon emergency rescue risk simulation identification method for teaching Download PDFInfo
- Publication number
- CN112528498A CN112528498A CN202011449505.8A CN202011449505A CN112528498A CN 112528498 A CN112528498 A CN 112528498A CN 202011449505 A CN202011449505 A CN 202011449505A CN 112528498 A CN112528498 A CN 112528498A
- Authority
- CN
- China
- Prior art keywords
- risk
- identification
- simulation
- teaching
- scene
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000013461 design Methods 0.000 claims abstract description 17
- 230000002452 interceptive effect Effects 0.000 claims abstract description 13
- 230000009471 action Effects 0.000 claims abstract description 11
- 230000003993 interaction Effects 0.000 claims abstract description 7
- 238000005516 engineering process Methods 0.000 claims abstract description 5
- 230000008569 process Effects 0.000 claims description 14
- 238000012423 maintenance Methods 0.000 claims description 13
- 230000013016 learning Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 238000000547 structure data Methods 0.000 claims description 3
- 230000010485 coping Effects 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 4
- 230000019771 cognition Effects 0.000 abstract description 3
- 230000031836 visual learning Effects 0.000 abstract description 3
- 230000000007 visual effect Effects 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000009469 supplementation Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
- G06Q50/2057—Career enhancement or continuing education service
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Technology (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Human Computer Interaction (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Processing Or Creating Images (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a simulation identification method for emergency risk of distribution table wind for teaching, which comprises the following steps: establishing a system framework for identifying the emergency risk of the virtual distribution transformer based on VR technology, a corresponding simulation scene and related tutorial auxiliary guidance system voice and identification; establishing a distribution transformer station wind emergency rescue scene, and performing software modeling by combining the actual field situation and the course design elements; establishing simulation risk knowledge points, and designing knowledge points to be expressed in a virtual scene on the basis of historical data; carrying out interactive animation design of the role and the risk processing action thereof; integrating scenes, animations, knowledge points and interaction according to story lines, and programming at a first-person view angle; and performing risk simulation identification and processing according to the output simulation identification stage. The invention enables the students entering the scene to obtain more visual learning cognition and carry out simulation operation under the guidance of the system, the whole identification teaching effect is visual, and the identification teaching efficiency is high.
Description
Technical Field
The invention belongs to the technical field of electric power training, and particularly relates to a distribution typhoon emergency rescue risk simulation identification method for teaching.
Background
With the rapid development of social economy, the stable operation of a power grid is in line with the national electricity utilization safety problem, so that a distribution line is required to keep a protection criterion in an absolute safety state in the operation and maintenance management process, when external environment interference occurs, an emergency rescue strategy is required to be adopted in time to guarantee the power distribution safety, the distribution line is important electric energy input and output equipment of the power grid, and when the distribution line is influenced by external adverse environment, a proper emergency rescue method is required to be adopted in time to guarantee the stable operation of the distribution line. The distribution network fault types caused by typhoons are mainly the common problems of pole breakage, power failure, water accumulation and the like, if operation and maintenance managers do not timely make corresponding treatment measures for emergency risks, the distribution lines stop running to cause power grid loss, and therefore risk identification is carried out on the emergency rescue process in typhoon weather, and the method has important significance.
However, the existing distribution typhoon emergency risk identification teaching aid and teaching method are relatively simple, the teaching effect is not good, and the existing requirements are not met.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide a distribution table wind emergency rescue risk simulation identification method for teaching so as to improve the identification teaching effect and the identification teaching efficiency.
In order to solve the technical problem, the invention provides a power distribution typhoon emergency rescue risk simulation identification method for teaching, which comprises the following steps:
step S1, establishing a virtual distribution grid wind emergency rescue risk identification system framework and a corresponding simulation scene based on VR technology, and related tutorial auxiliary guidance system voice and identification;
step S2, establishing a distribution box wind emergency scene, and performing software modeling by combining the actual situation of a site and the course design elements;
step S3, establishing simulation risk knowledge points, and designing knowledge points to be expressed in a virtual scene on the basis of historical data;
step S4, interactive animation design of the character and the risk processing action thereof is carried out;
step S5, integrating scenes, animations, knowledge points and interaction according to story lines, and programming at a first-person view angle;
step S6, according to the outputted simulation identification stage, the risk simulation identification and processing are performed.
Further, the software modeling in step S2 is specifically to perform three-dimensional modeling on the spatial structure data by using a reverse modeling thinking, and guide the model into a Unity3D engine.
Further, the history data in the step S3 includes: emergency treatment manuals, specifications and treatment flows, documentation of past accidents, and practical experience of reasonable treatment personnel.
Further, the step S4 specifically includes:
carrying out interactive animation design of the role, guiding the operation and maintenance personnel model into an engine, and setting the action state of the operation and maintenance personnel model;
and setting an IK animation, and capturing joint moving nodes of the operation and maintenance personnel so as to fit risk processing actions in an actual scene.
Further, interactive animation design specifically includes that through simulation of a collision event, the key function of the system is determined, and a user can conveniently perform collision detection on the key system.
Further, the simulation identification stage output by the step S6 includes an en-route identification stage and a field identification stage, where the en-route identification stage is a simulation of actual processes under the condition of correct handling through analyzing and experiencing corresponding risk points, understanding a risk occurrence process, and a correct handling method; in the field stage, when the distribution network has a risk state, process prejudgment is carried out according to the risk type, and the risk state is tracked in real time when a worker starts to arrive at the field for processing.
Further, according to the output simulation identification stage, risk simulation identification and processing are carried out, and the method specifically comprises the following steps: firstly, entering an identification stage in the way, and identifying and processing risks of rear-end collision, pedestrian collision and wading; and secondly, entering a field identification stage, and identifying and learning disasters caused by various typhoons on the rescue field.
Further, still include after entering the on-the-spot stage of discerning: and (4) scene movement is carried out on the rescue site by using a VR (virtual reality) equipment handle to find and identify a plurality of hazard points set in the scene.
The embodiment of the invention has the following beneficial effects: according to the power distribution typhoon emergency rescue risk identification method, the system framework for power distribution typhoon emergency rescue risk identification and the corresponding simulation scene enable students entering the scene to obtain more visual learning cognition and carry out simulation operation under the guidance of the system, relevant link knowledge supplement is carried out after the operation is finished, the whole identification teaching effect is visual, and the identification teaching efficiency is high.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a distribution table wind emergency rescue risk identification method for teaching according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, an embodiment of the present invention provides a simulation and identification method for emergency risk of distribution table wind for teaching, including:
step S1, establishing a virtual distribution grid wind emergency rescue risk identification system framework and a corresponding simulation scene based on VR technology, and related tutorial auxiliary guidance system voice and identification;
step S2, establishing a distribution box wind emergency scene, and performing software modeling by combining the actual situation of a site and the course design elements;
step S3, establishing simulation risk knowledge points, and designing knowledge points to be expressed in a virtual scene on the basis of historical data;
step S4, interactive animation design of the character and the risk processing action thereof is carried out;
step S5, integrating scenes, animations, knowledge points and interaction according to story lines, and programming at a first-person view angle;
step S6, according to the outputted simulation identification stage, the risk simulation identification and processing are performed.
Specifically, step S1 is to establish a system framework for virtual distribution grid wind emergency rescue risk identification, a corresponding scene, and a relevant tutorial auxiliary guidance system voice and identification based on a VR virtual reality technology for distribution grid wind emergency rescue risk work.
Step S2 is to establish a distribution grid wind emergency scene, to combine the actual situation and course design factors, to perform software modeling, specifically to utilize reverse modeling thinking, to perform three-dimensional modeling on the spatial structure data, and to guide the model into a Unity3D engine, so as to improve the level of model virtualization construction of the distribution grid, and in the process, 3Dmax software is selected as a modeling auxiliary tool.
In step S3, a simulated risk knowledge point is established, an emergency treatment manual, a specification, a treatment process, and the like are configured in the previous period, a document is recorded for a past accident, the actual experience of a reasonable treatment staff is treated, and knowledge points to be expressed in a virtual scene are designed based on various historical data, wherein the expression form is not limited to contents such as UI image-text frames, dialogue, interactive operation, and the like.
The method comprises the steps that a UI operation interface under a space model is designed in a virtual scene, a space coordinate system is established through real substances in the virtual scene, basic information of a user is input into the system, the rotation of the head of the user is used as an interface display direction, the trunk of the user is used as a movement trend, and then the construction conditions of human engineering are integrated into the UI interface, so that the maximum comfort of the user can be kept during interface interaction, and the interface impression of the user is perfected after repeated tests.
Step S4, interactive animation design of the role is carried out, firstly, the operation and maintenance personnel model is guided into the engine, and the action state of the operation and maintenance personnel model is set so as to improve the simulation movement trace of the operation and maintenance personnel model in the virtual scene; and secondly, an IK animation is required to be set, and joint moving nodes of the operation and maintenance personnel are captured so as to fit risk processing actions in an actual scene. The interactive animation design specifically comprises the steps of simulating a collision event, determining the key functions of the system, facilitating the collision detection of a user on the key system, achieving the purpose of interaction, and carrying out the design interaction of roles and the interactive design of an equipment model.
The simulation identification stage output by the step S6 includes two stages, namely an en-route identification stage and a field identification stage, where the en-route identification stage is a variety of risk points that may be encountered during the emergency, and the actual process simulation under the condition of correct handling is realized by analyzing and experiencing corresponding risk points, and a correct identification processing method is provided for the staff to prevent risks during the emergency. In the field stage, when the distribution network has a risk state, process prejudgment needs to be carried out according to the risk type, and when workers start to arrive at the field for processing, the risk state is tracked in real time, so that the change trend of the existing risk is explored on one hand, and whether other risks exist is sensed on the other hand.
According to the simulation identification stage of output, risk simulation identification and processing are carried out, and the method specifically comprises the following steps: firstly, entering an identification stage in the way, and identifying and processing risks such as rear-end collision, pedestrian collision, wading and the like in a common experience mode; and secondly, arriving at an emergency scene, and identifying and learning disasters caused by various typhoons. Through learning experience, power distribution network staff can learn various risks in the emergency rescue process before the risks come, and the targeted solution capability of emergency relief is improved.
The simulation scene can be used for accurately identifying typhoon emergency hazards according to data such as wind power, temperature and humidity, rainwater and the like at the early stage of typhoon in a rainfall increase scene. When the simulation is carried out, the problems of tree toppling, poor visibility, third-party accidents and the like can occur in the driving process, and at the moment, the actions of touching, animation, clicking and the like are required to be carried out on the handle, so that the scene of arriving at the emergency scene can be simulated successfully. And the virtual scene in the field identification stage also comprises a distribution line damaged scene, and after arriving at the emergency site, the maintainers move a plurality of hazard points on the site and operate by matching with VR equipment handles. In addition, when the damage of tree collapse occurs in the virtual scene, firstly, the influence of interfering trees is eliminated, the temporary power failure of the distribution line is applied, the collapsed positions of the trees are preliminarily cleaned by means of equipment such as a crane, and then the maintenance of the distribution line can be continued.
As can be seen from the above description, compared with the prior art, the beneficial effects of the present invention are: through the system framework for identifying the emergency risk of the distribution platform wind and the corresponding simulation scene, the students entering the scene can obtain more visual learning cognition and carry out simulation operation under the guidance of the system, and relevant link knowledge supplementation is carried out after the operation is finished.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (8)
1. A power distribution typhoon emergency rescue risk simulation identification method for teaching is characterized by comprising the following steps:
step S1, establishing a virtual distribution grid wind emergency rescue risk identification system framework and a corresponding simulation scene based on VR technology, and related tutorial auxiliary guidance system voice and identification;
step S2, establishing a distribution box wind emergency scene, and performing software modeling by combining the actual situation of a site and the course design elements;
step S3, establishing simulation risk knowledge points, and designing knowledge points to be expressed in a virtual scene on the basis of historical data;
step S4, interactive animation design of the character and the risk processing action thereof is carried out;
step S5, integrating scenes, animations, knowledge points and interaction according to story lines, and programming at a first-person view angle;
step S6, according to the outputted simulation identification stage, the risk simulation identification and processing are performed.
2. The method for simulating and identifying the emergency risk of distribution table wind for teaching of claim 1, wherein the software modeling in step S2 is specifically to utilize reverse modeling thinking, three-dimensionally model the spatial structure data, and guide the model into Unity3D engine.
3. The method for simulating identification of emergency risk of distribution table wind for teaching of claim 1, wherein the historical data in the step S3 includes: emergency treatment manuals, specifications and treatment flows, documentation of past accidents, and practical experience of reasonable treatment personnel.
4. The distribution table wind emergency rescue risk simulation identification method for teaching of claim 1, wherein the step S4 specifically includes:
carrying out interactive animation design of the role, guiding the operation and maintenance personnel model into an engine, and setting the action state of the operation and maintenance personnel model;
and setting an IK animation, and capturing joint moving nodes of the operation and maintenance personnel so as to fit risk processing actions in an actual scene.
5. The distribution table wind emergency rescue risk simulation identification method for teaching of claim 4, wherein the interactive animation design is specifically to determine the key function of the system by performing the simulation of the collision event, so as to facilitate the user to perform collision detection on the key system.
6. The distribution table wind emergency rescue risk simulation identification method for teaching of claim 1, wherein the simulation identification phase output by the step S6 includes an en-route identification phase and a field identification phase, the en-route identification phase is various risk points that may be encountered during the rescue, and the risk occurrence process and the correct coping method are analyzed and experienced through corresponding risk points, and the actual process simulation under the correct coping condition is performed; in the field stage, when the distribution network has a risk state, process prejudgment is carried out according to the risk type, and the risk state is tracked in real time when a worker starts to arrive at the field for processing.
7. The distribution table wind emergency rescue risk simulation identification method for teaching of claim 6, wherein the risk simulation identification and processing are performed according to an output simulation identification stage, specifically comprising: firstly, entering an identification stage in the way, and identifying and processing risks of rear-end collision, pedestrian collision and wading; and secondly, entering a field identification stage, and identifying and learning disasters caused by various typhoons on the rescue field.
8. The distribution table wind emergency rescue risk simulation identification method for teaching of claim 7, further comprising after entering a field identification phase: and (4) scene movement is carried out on the rescue site by using a VR (virtual reality) equipment handle to find and identify a plurality of hazard points set in the scene.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011449505.8A CN112528498A (en) | 2020-12-11 | 2020-12-11 | Power distribution typhoon emergency rescue risk simulation identification method for teaching |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011449505.8A CN112528498A (en) | 2020-12-11 | 2020-12-11 | Power distribution typhoon emergency rescue risk simulation identification method for teaching |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112528498A true CN112528498A (en) | 2021-03-19 |
Family
ID=74998682
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011449505.8A Pending CN112528498A (en) | 2020-12-11 | 2020-12-11 | Power distribution typhoon emergency rescue risk simulation identification method for teaching |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112528498A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104882043A (en) * | 2015-06-05 | 2015-09-02 | 国网电力科学研究院武汉南瑞有限责任公司 | System and method for electric power work security risk identification simulating training |
| CN108074021A (en) * | 2016-11-10 | 2018-05-25 | 中国电力科学研究院 | A kind of power distribution network Risk Identification system and method |
| CN108595872A (en) * | 2018-05-07 | 2018-09-28 | 深圳供电局有限公司 | Online safety and stability analysis method for power grid |
| CN110335359A (en) * | 2019-04-22 | 2019-10-15 | 国家电网有限公司 | Distribution board firing accident emergency drilling analogy method based on virtual reality technology |
| CN111192494A (en) * | 2020-01-06 | 2020-05-22 | 北京市安全生产科学技术研究院 | VR-based safety risk identification and evaluation practical training system, method and equipment |
-
2020
- 2020-12-11 CN CN202011449505.8A patent/CN112528498A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104882043A (en) * | 2015-06-05 | 2015-09-02 | 国网电力科学研究院武汉南瑞有限责任公司 | System and method for electric power work security risk identification simulating training |
| CN108074021A (en) * | 2016-11-10 | 2018-05-25 | 中国电力科学研究院 | A kind of power distribution network Risk Identification system and method |
| CN108595872A (en) * | 2018-05-07 | 2018-09-28 | 深圳供电局有限公司 | Online safety and stability analysis method for power grid |
| CN110335359A (en) * | 2019-04-22 | 2019-10-15 | 国家电网有限公司 | Distribution board firing accident emergency drilling analogy method based on virtual reality technology |
| CN111192494A (en) * | 2020-01-06 | 2020-05-22 | 北京市安全生产科学技术研究院 | VR-based safety risk identification and evaluation practical training system, method and equipment |
Non-Patent Citations (3)
| Title |
|---|
| 万晶宇等: "基于虚拟现实技术的配电盘火灾应急处置模拟系统设计", 电子设计工程 * |
| 陈肖龙等: "气象模拟仿真技术在电力安全应急培训中的应用与研究", 电力大数据 * |
| 魏振华;刘强;: "VR技术在土木工程防灾中的应用", 工程管理学报 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109272801A (en) | Power distribution network operation simulation assessment method and system based on VR technology | |
| CN109102731A (en) | VR-based transformer substation simulation platform and method | |
| CN110909898A (en) | Zero-knowledge bank machine room fault diagnosis and maintenance guidance system and method based on AR glasses | |
| CN106682246A (en) | Graphical design platform for power grid emergency training schemes | |
| CN111127974A (en) | Virtual reality and augmented reality three-dimensional application service platform for transformer substation operation | |
| CN111028603A (en) | Live-line work training method and system for transformer substation based on dynamic capture and virtual reality | |
| CN113299139A (en) | Nuclear power station main pump maintenance virtual simulation platform and construction method thereof | |
| CN110322564A (en) | A kind of 3 D model construction method of the substation operation environment suitable for VR/AR | |
| CN111327112B (en) | Transformer substation auxiliary equipment monitoring system and method based on Internet of things | |
| CN111738459A (en) | Holographic expert system is examined in communication dispatch operation based on AR technique | |
| CN104064065A (en) | Distribution network fault simulation analysis training system implementation method | |
| CN114821806A (en) | Method and device for determining behavior of operator, electronic equipment and storage medium | |
| CN104794950A (en) | Simulation training system and simulation training method for electric power operation accident case simulation | |
| CN111401789A (en) | Building construction intelligent supervision system based on BIM | |
| CN108959824B (en) | BIM design section layer layering generation method for Ying Yi planning pipeline | |
| CN112528498A (en) | Power distribution typhoon emergency rescue risk simulation identification method for teaching | |
| CN104882043A (en) | System and method for electric power work security risk identification simulating training | |
| Chang et al. | Construction of virtual simulation teaching platform for elevator control | |
| CN114023133A (en) | Hydropower station operation accident handling training and emergency drilling evaluation method | |
| CN116341064B (en) | Modeling system and method of intelligent substation cloud system based on 3DMax modeling | |
| CN117409625A (en) | Substation equipment training system and method based on mixed reality | |
| CN109992118A (en) | Aerial lift device with insulated arm emulating operating system based on virtual reality technology | |
| CN111597637A (en) | Fault detection method, device, server and system for field parts of bullet train | |
| CN109817053A (en) | Power of alterating and direct current fault simulation training system based on software emulation | |
| CN111258431B (en) | Turbine maintenance auxiliary system based on mixed reality |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210319 |