CN111079951A - AR-based main equipment overhaul big data rapid modeling system - Google Patents
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Abstract
The invention provides an AR-based main equipment overhaul big data rapid modeling system which comprises a 3D scanning module, a photogrammetry module, an artificial drawing module, a three-dimensional data filtering module, a modeling module and a computer, wherein the AR-based main equipment overhaul big data rapid modeling system comprises the following implementation steps: the AR-based main equipment overhaul big data rapid modeling system is reasonable in design, can accumulate and record abundant field expert experience very intuitively, and is widely applied to training of substation main equipment overhaul technicians.
Description
Technical Field
The invention belongs to the technical field of electric power main equipment maintenance, and particularly relates to an AR-based main equipment maintenance big data rapid modeling system.
Background
Regular and irregular maintenance of the power transformation equipment is an effective means for ensuring reliable operation of the power system and reducing accidents of the power system. The transformer substation main equipment is used as one of important and complex electrical equipment applied to an electric power system, the maintenance work difficulty is high, the time consumption is long, the requirement on the technical level of maintenance personnel is high, and a mode of combining three links of theoretical learning, teacher's transmission, assistance, belt' and maintenance practice is adopted in the aspect of training of the technical personnel for a long time. Although the culture mode plays a good role, the culture mode also has the defects of long culture period, incomplete professional technical teaching and the like. Because: (1) the analysis means of the theoretical knowledge of substation main equipment maintenance is limited and the complexity of the main equipment structure brings difficulty to the theoretical learning of technicians; (2) the field experts 'pass, help, band' and maintenance practice must be combined with a specific maintenance process of the main equipment of the transformer substation, and the systematic teaching of the maintenance technology of the main equipment of the transformer substation is difficult to achieve in a short period. In the aspect of field operation for overhauling, because a plurality of operations are often carried out simultaneously, the problems of insufficient standardization and implementation of the operation flow, inconsistent overhauling quality, need of a large number of field experts to reach the field for guidance and the like exist. Therefore, the method for carrying out visual and deep maintenance process details, systematic training for embodying expert experience in numerous fields and practical maintenance field operation guidance on main equipment maintenance technicians of the transformer station by adopting the increasingly mature Augmented Reality (AR) technology is a research subject with good practical application value, and is expected to obtain quite specific application effect.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an AR-based main equipment overhaul big data rapid modeling system which is reasonable in design, can accumulate and visually record abundant field expert experiences, and is widely applied to training substation main equipment overhaul technicians.
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a main equipment overhauls big data rapid modeling system based on AR, includes 3D scanning module, photogrammetry module, artifical drawing module, three-dimensional data filter module, modeling module and computer, and this main equipment overhauls big data rapid modeling system based on AR's realization step is as follows:
the method comprises the following steps: collecting three-dimensional data; the three-dimensional data acquisition module is used for rapidly acquiring three-dimensional data of the transformer substation main equipment in the maintenance process by the aid of a 3D scanning technology, a photogrammetry and manual drawing technology and the like;
step two: filtering three-dimensional data; the three-dimensional data filtering module adopts a three-dimensional data filtering technology based on correlation analysis and compatible analysis, and performs correlation analysis and compatible analysis on three-dimensional data in the maintenance process of the main equipment of the transformer substation, which is rapidly acquired by using a 3D scanning technology, a photogrammetry technology, a manual drawing technology and the like, so as to lay a data foundation for constructing a three-dimensional model of parts of the main equipment of the transformer substation and establishing a three-dimensional model library of the parts of the main equipment of the transformer substation, which is suitable for AR;
step three: establishing a big data model base; the modeling module constructs a three-dimensional model of the main equipment parts of the transformer substation according to the filtered three-dimensional data and by utilizing technologies such as image recognition and matching and the like and establishes a three-dimensional big data model base of the main equipment parts of the transformer substation, which is suitable for AR;
step four: VR realization; the computer builds a substation main equipment overhaul technical knowledge base on the basis of the step three, combines with an Internet of things sensor (augmented reality AR) technology, accumulates and visually records rich field expert experiences, is widely applied to training substation main equipment overhaul technical personnel, can greatly reduce the learning intensity of professional technicians and new workers, can greatly improve the learning efficiency and the learning quality, can more accurately describe overhaul methods, operation flows, process requirements and the like by applying an augmented reality system in substation main equipment overhaul field operation guidance, can ensure and improve the substation main equipment overhaul quality, can intelligently and quickly model a substation main equipment overhaul process AR of a large database based on rules and substation main equipment parts, can more visually and clearly display the substation main equipment overhaul process and the process requirements, effectively avoid the unclear problem of language description, can guarantee and improve transformer substation's main equipment maintenance quality, simultaneously, in the field work environment of complicacy, also can overhaul the field work through transformer substation's main equipment maintenance process AR's the interactive and show engine technique that becomes more meticulous and guide, give relevant operation risk point warning, prevent the accident, can also provide the assurance for improving maintenance quality simultaneously.
As a preferred embodiment of the present invention, the parts of the main equipment of the substation in step three mainly include a circuit breaker, a current transformer and a disconnector in the GIS equipment.
As a preferred embodiment of the present invention, the training of substation master equipment overhaul technicians in the fourth step needs to develop a master equipment overhaul and visualization training system based on AR technology, and the AR smart glasses device needs to move around in all directions during use, so a head posture sensor is built in the glasses to capture the head movement posture of a person, thereby tracking an object, ensuring that the head movement does not affect the fusion of a recognized object and virtual information, performing computer recognition graphic modeling aiming at the scene where each device point is located, including environment, devices, instrument and the like, to form N standard training images (N represents the number of training images for operation modeling), and during use, reaching the corresponding position according to the automatic navigation prompt in the AR smart glasses device, collecting the scene image of the position where the device is located, and matching the actual image of the scene with the N training images to obtain a training image which is consistent with the scene of the current query image.
The invention has the beneficial effects that: the AR-based main equipment overhaul big data rapid modeling system comprises a 3D scanning module, a photogrammetry module, an artificial drawing module, a three-dimensional data filtering module, a modeling module and a computer.
1. The AR-based main equipment overhaul big data rapid modeling system combines the technology of the Internet of things sensor (augmented reality AR), can accumulate abundant field expert experience and record the accumulated field expert experience visually, is widely applied to substation main equipment overhaul technical personnel training, can greatly reduce the learning intensity of professional technical personnel and new personnel, can improve the learning efficiency and the learning quality to a great extent, can describe overhaul methods, operation flows, process requirements and the like more accurately by applying the augmented reality system in substation main equipment overhaul field operation guidance, and can ensure and improve the overhaul quality of the substation main equipment.
2. This major equipment overhauls big data rapid modeling system based on AR can show transformer substation's major equipment maintenance process and technological requirement directly perceived, clearly, looks over from various incident and overhauls the complete and income of the inside detail of operation scene and transformer substation's major equipment and show a little, has compensatied the not enough of artifical visual angle, effectively avoids the problem that the language description is unclear, can guarantee and improve transformer substation's major equipment maintenance quality.
3. This major equipment overhauls big data rapid modeling system based on AR also can overhaul the site operations through transformer substation's major equipment maintenance process AR's the interactive and show engine technique that becomes more meticulous in complicated site operations environment and guide, gives relevant operation risk point warning, prevents the accident, can also provide the assurance for improving the maintenance quality simultaneously.
Drawings
FIG. 1 is a flowchart of implementation steps of an AR-based main equipment overhaul big data rapid modeling system;
FIG. 2 is a functional block diagram of an AR-based main equipment overhaul big data rapid modeling system;
in the figure: the system comprises a 1-3D scanning module, a 2-photogrammetry module, a 3-manual drawing module, a 4-three-dimensional data filtering module, a 5-modeling module and a 6-computer.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1 to 2, the present invention provides a technical solution: the utility model provides a main equipment overhauls big data rapid modeling system based on AR, includes 3D scanning module 1, photogrammetry module 2, artifical drawing module 3, three-dimensional data filter module 4, modeling module 5 and computer 6, and this main equipment overhauls big data rapid modeling system based on AR's realization step is as follows:
the method comprises the following steps: collecting three-dimensional data; the 3D scanning module 1, the photogrammetry module 2 and the manual drawing module 3 respectively utilize a 3D scanning technology, a photogrammetry technology, a manual drawing technology and the like to rapidly acquire three-dimensional data of the substation main equipment in the overhaul process;
step two: filtering three-dimensional data; the three-dimensional data filtering module 4 is used for performing correlation analysis and compatibility analysis on three-dimensional data in the maintenance process of the main equipment of the transformer substation, which is rapidly acquired by using a 3D scanning technology, a photogrammetry technology, a manual drawing technology and the like, by adopting a three-dimensional data filtering technology based on correlation analysis and compatibility analysis, and laying a data foundation for constructing a three-dimensional model of parts of the main equipment of the transformer substation and establishing a three-dimensional model library of the parts of the main equipment of the transformer substation, which is suitable for AR;
step three: establishing a big data model base; the modeling module 5 constructs a three-dimensional model of the main equipment parts of the transformer substation according to the filtered three-dimensional data and by utilizing technologies such as image recognition and matching and the like and establishes a three-dimensional big data model base of the main equipment parts of the transformer substation, which is suitable for AR;
step four: VR realization; the computer 6 builds a substation main equipment overhaul technical knowledge base on the basis of the step three, combines with an internet of things sensor (augmented reality AR) technology, accumulates and visually records rich field expert experiences, is widely applied to training substation main equipment overhaul technical personnel, can greatly reduce the learning intensity of professional technicians and new workers, can greatly improve the learning efficiency and the learning quality, can more accurately describe overhaul methods, operation flows, process requirements and the like by applying an augmented reality system in substation main equipment overhaul field operation guidance, can ensure and improve the substation main equipment overhaul quality, can intelligently and quickly model a substation main equipment overhaul process AR based on rules and a large database of substation main equipment parts, can more visually and clearly display the substation main equipment overhaul process and the process requirements, effectively avoid the unclear problem of language description, can guarantee and improve transformer substation's main equipment maintenance quality, simultaneously, in the field work environment of complicacy, also can overhaul the field work through transformer substation's main equipment maintenance process AR's the interactive and show engine technique that becomes more meticulous and guide, give relevant operation risk point warning, prevent the accident, can also provide the assurance for improving maintenance quality simultaneously.
2. The AR-based main equipment overhaul big data rapid modeling system according to claim 1, wherein: and the transformer substation main equipment parts in the third step mainly comprise a breaker, a current transformer and a disconnecting switch in the GIS equipment.
3. The AR-based main equipment overhaul big data rapid modeling system according to claim 1, wherein: the transformer substation main equipment overhaul technical personnel training in the fourth step needs to develop a main equipment overhaul and visual training system based on an AR technology, and an AR intelligent glasses device needs to move in all directions in the using process, so a head attitude sensor is arranged in the glasses and used for capturing the head movement attitude of a person, thereby realizing the tracking of an object, ensuring that the head movement does not influence the fusion of a recognized object and virtual information, carrying out computer recognition graphic modeling aiming at the scene where each equipment point is located, including environment, equipment, instrument and meter and the like, forming N standard training images (N represents the number of training images for operation modeling), reaching the corresponding position according to an automatic navigation prompt in the AR intelligent glasses device in the using process, collecting the scene image of the position, and matching the actual image of the scene with the N training images, and obtaining a training image which is consistent with the current query image scene.
The working principle is as follows: three-dimensional data acquisition: the 3D scanning module 1, the photogrammetry module 2 and the manual drawing module 3 respectively utilize a 3D scanning technology, a photogrammetry technology, a manual drawing technology and the like to rapidly acquire three-dimensional data of the substation main equipment in the overhaul process; and (3) three-dimensional data filtering: the three-dimensional data filtering module 4 is used for performing correlation analysis and compatibility analysis on three-dimensional data in the maintenance process of the main equipment of the transformer substation, which is rapidly acquired by using a 3D scanning technology, a photogrammetry technology, a manual drawing technology and the like, by adopting a three-dimensional data filtering technology based on correlation analysis and compatibility analysis, and laying a data foundation for constructing a three-dimensional model of parts of the main equipment of the transformer substation and establishing a three-dimensional model library of the parts of the main equipment of the transformer substation, which is suitable for AR; establishing a big data model base: the modeling module 5 constructs a three-dimensional model of the main equipment parts of the transformer substation according to the filtered three-dimensional data and by utilizing technologies such as image recognition and matching and the like and establishes a three-dimensional big data model base of the main equipment parts of the transformer substation, which is suitable for AR; VR realization: the computer 6 builds a substation main equipment overhaul technical knowledge base on the basis of the step three, combines with an AR (augmented reality) technology, accumulates and visually records rich field expert experiences, is widely applied to training substation main equipment overhaul technical personnel, can greatly reduce the learning intensity of professional technicians and new workers, and can greatly improve the learning efficiency and the learning quality, the augmented reality system is applied to more accurately describe overhaul methods, operation flows, process requirements and the like in substation main equipment overhaul field operation guidance, the overhaul quality of the substation main equipment can be ensured and improved, the substation main equipment overhaul technical personnel are trained, a main equipment overhaul and visual training system based on the AR technology needs to be developed, and AR intelligent glasses equipment of the system are used, the glasses are internally provided with a head posture sensor for capturing the head movement posture of a person, so that the tracking of an object is realized, the fusion of a recognized object and virtual information is not influenced by the head movement, the computer recognition graph modeling is carried out aiming at the scene of each equipment point, including environment, equipment, instruments and the like, N standard training images (N represents the number of the training images for operation modeling) are formed, in the using process, the corresponding position can be reached according to the automatic navigation prompt in the AR intelligent glasses equipment, the scene image of the position where the equipment point is located is collected, the actual image of the scene is matched with the N training images to obtain the training image matched with the current query image scene, and the AR intelligent modeling process based on rules and a large database of substation main equipment parts is fast, the transformer substation main equipment maintenance process and the process requirements thereof can be displayed more visually and clearly, the problem of unclear language description is effectively avoided, the maintenance quality of the transformer substation main equipment can be guaranteed and improved, meanwhile, in a complex field operation environment, maintenance field operation guidance can also be performed through the refined interaction and display engine technology of the transformer substation main equipment maintenance process AR, related operation risk point warning is given, accidents are prevented, and meanwhile, guarantee can be provided for improving the maintenance quality.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (3)
1. The utility model provides a main equipment overhauls big data quick modeling system based on AR, its characterized in that includes 3D scanning module (1), photogrammetry module (2), artifical drawing module (3), three-dimensional data filter module (4), modeling module (5) and computer (6), and this main equipment overhauls big data quick modeling system based on AR's realization step is as follows:
the method comprises the following steps: collecting three-dimensional data; the three-dimensional data of the transformer substation main equipment overhauling process are rapidly acquired by the 3D scanning module (1), the photogrammetry module (2) and the manual drawing module (3) respectively by utilizing a 3D scanning technology, a photogrammetry technology, a manual drawing technology and the like;
step two: filtering three-dimensional data; the three-dimensional data filtering module (4) adopts a three-dimensional data filtering technology based on correlation analysis and compatible analysis, and performs correlation analysis and compatible analysis on three-dimensional data in the maintenance process of the main equipment of the transformer substation, which is rapidly acquired by using a 3D scanning technology, a photogrammetry and manual drawing technology and the like, so as to lay a data foundation for constructing a three-dimensional model of parts of the main equipment of the transformer substation and establishing a three-dimensional model library of the parts of the main equipment of the transformer substation, which is suitable for AR;
step three: establishing a big data model base; the modeling module (5) constructs a three-dimensional model of the main equipment parts of the transformer substation according to the filtered three-dimensional data and by utilizing technologies such as image recognition and matching and establishes a three-dimensional big data model base of the main equipment parts of the transformer substation, which is suitable for AR;
step four: VR realization; the computer (6) constructs a transformer substation main equipment overhaul technical knowledge base on the basis of the step three and combines with an Internet of things sensor (augmented reality AR) technology, accumulates and visually records rich field expert experiences, is widely applied to training transformer substation main equipment overhaul technical personnel, can greatly reduce the learning strength of professional technicians and new employees, and can improve the learning efficiency and the learning quality to a great extent, an augmented reality system is applied to more accurately describe overhaul methods, operation flows, process requirements and the like in transformer substation main equipment overhaul field operation guidance, the transformer substation main equipment overhaul quality can be ensured and improved, the transformer substation main equipment overhaul process AR of a large database based on rules and transformer substation main equipment parts is intelligently and quickly modeled, and the transformer substation main equipment overhaul process and the process requirements thereof can be more visually and clearly displayed, effectively avoid the unclear problem of language description, can guarantee and improve transformer substation's main equipment maintenance quality, simultaneously, in the field work environment of complicacy, also can overhaul the field work through transformer substation's main equipment maintenance process AR's the interactive and show engine technique that becomes more meticulous and guide, give relevant operation risk point warning, prevent the accident, can also provide the assurance for improving maintenance quality simultaneously.
2. The AR-based main equipment overhaul big data rapid modeling system according to claim 1, wherein: and the transformer substation main equipment parts in the third step mainly comprise a breaker, a current transformer and a disconnecting switch in the GIS equipment.
3. The AR-based main equipment overhaul big data rapid modeling system according to claim 1, wherein: the transformer substation main equipment overhaul technical personnel training in the fourth step needs to develop a main equipment overhaul and visual training system based on an AR technology, and an AR intelligent glasses device needs to move in all directions in the using process, so a head attitude sensor is arranged in the glasses and used for capturing the head movement attitude of a person, thereby realizing the tracking of an object, ensuring that the head movement does not influence the fusion of a recognized object and virtual information, carrying out computer recognition graphic modeling aiming at the scene where each equipment point is located, including environment, equipment, instrument and meter and the like, forming N standard training images (N represents the number of training images for operation modeling), reaching the corresponding position according to an automatic navigation prompt in the AR intelligent glasses device in the using process, collecting the scene image of the position, and matching the actual image of the scene with the N training images, and obtaining a training image which is consistent with the current query image scene.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347540A (en) * | 2020-11-09 | 2021-02-09 | 重庆智慧之源科技有限公司 | Building intelligent detection modeling system |
| CN112613619A (en) * | 2020-11-30 | 2021-04-06 | 重庆电子工程职业学院 | Safety operation management system for gas area in workshop |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103996322A (en) * | 2014-05-21 | 2014-08-20 | 武汉湾流新技术有限公司 | Welding operation training simulation method and system based on augmented reality |
| US20170213390A1 (en) * | 2016-01-22 | 2017-07-27 | Locus Energy, Inc. | Augmented reality tools for pv solar and/or storage system site survey, installation, commissioning, and operation and maintenance supported by on-site data collection |
| CN108664125A (en) * | 2018-05-04 | 2018-10-16 | 贵州电网有限责任公司 | A kind of power transformer maintenance exception and defects simulation equipment |
| CN109638959A (en) * | 2018-12-06 | 2019-04-16 | 杭州意能电力技术有限公司 | Power equipment remote signaling function adjustment method and system based on AR and deep learning |
| CN110109535A (en) * | 2019-03-18 | 2019-08-09 | 国网浙江省电力有限公司信息通信分公司 | Augmented reality generation method and device |
-
2019
- 2019-10-16 CN CN201910985315.9A patent/CN111079951A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103996322A (en) * | 2014-05-21 | 2014-08-20 | 武汉湾流新技术有限公司 | Welding operation training simulation method and system based on augmented reality |
| US20170213390A1 (en) * | 2016-01-22 | 2017-07-27 | Locus Energy, Inc. | Augmented reality tools for pv solar and/or storage system site survey, installation, commissioning, and operation and maintenance supported by on-site data collection |
| CN108664125A (en) * | 2018-05-04 | 2018-10-16 | 贵州电网有限责任公司 | A kind of power transformer maintenance exception and defects simulation equipment |
| CN109638959A (en) * | 2018-12-06 | 2019-04-16 | 杭州意能电力技术有限公司 | Power equipment remote signaling function adjustment method and system based on AR and deep learning |
| CN110109535A (en) * | 2019-03-18 | 2019-08-09 | 国网浙江省电力有限公司信息通信分公司 | Augmented reality generation method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112347540A (en) * | 2020-11-09 | 2021-02-09 | 重庆智慧之源科技有限公司 | Building intelligent detection modeling system |
| CN112347540B (en) * | 2020-11-09 | 2023-09-08 | 重庆智慧之源科技有限公司 | Intelligent detection modeling system for building |
| CN112613619A (en) * | 2020-11-30 | 2021-04-06 | 重庆电子工程职业学院 | Safety operation management system for gas area in workshop |
| CN112613619B (en) * | 2020-11-30 | 2024-04-09 | 重庆电子工程职业学院 | Safety operation management system for gas area in workshop |
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