CN105929948B - Based on augmented reality self learning type intelligent helmet and its operation method - Google Patents
Based on augmented reality self learning type intelligent helmet and its operation method Download PDFInfo
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- CN105929948B CN105929948B CN201610237553.8A CN201610237553A CN105929948B CN 105929948 B CN105929948 B CN 105929948B CN 201610237553 A CN201610237553 A CN 201610237553A CN 105929948 B CN105929948 B CN 105929948B
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/1613—Constructional details or arrangements for portable computers
- G06F1/163—Wearable computers, e.g. on a belt
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- 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
- G06F3/16—Sound input; Sound output
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- 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
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Abstract
The invention discloses one kind to be based on augmented reality self learning type intelligent helmet and its operation method, it is characterized in that, it include the master controller of helmet body and the general magic identification model of being embedded with of being arranged thereon, scan camera shooting head, record camera, sound broadcasting device, virtual image display, the storage image data being connect with master controller local storage and cloud server.The problem of present invention keeps operation maintenance personnel very clear to the equipment currently safeguarded, can effectively solve the problem that current operation maintenance personnel needs just to be on duty by prolonged training, and working efficiency is low and longevity of service.
Description
Technical field
The present invention relates to intelligent electric equipment technical fields, more particularly to a kind of augmented reality self learning type intelligence
The helmet and its operation method.
Background technique
During city is increasingly developed, demand of the people to electric power energy is increasing, it is necessary to our power grid enterprise
Industry invests considerable capital to build, wherein there is the largely equipment concerning operation of power networks and safety monitoring.Such a large amount of equipment
It needs to put into a large amount of human costs to go to safeguard and run.For this reason, it is necessary to which developing one kind can reduce human cost, work is improved
Make the equipment that operation maintenance personnel can be assisted to work of efficiency.
Summary of the invention
The object of the invention is to can solve current operation maintenance personnel for the one kind for solving the deficiency of the prior art and providing
Need just to be on duty by training for a long time, the problem of working efficiency is low and longevity of service based on augmented reality self learning type
Intelligent helmet.
It can solve current operation maintenance personnel it is a further object of the present invention to provide one kind to need by prolonged training
The operation method based on augmented reality self learning type intelligent helmet of the problem of hilllock, working efficiency is low and longevity of service.
The present invention is to be attained in that one kind based on augmented reality self learning type intelligence using following technical solution
The energy helmet, which is characterized in that it includes helmet body and the master controller for being embedded with general magic identification model being arranged thereon, scanning
Camera records camera, sound broadcasting device, virtual image display, the storage image data connecting with master controller
Local storage and cloud server；
The scan camera shooting head records the signal input part that camera is connected to master controller, and scan camera shooting head is used
In obtaining current environment parameter, by master controller to obtained data are scanned after image recognition algorithm processing, first adjust
It is compared with the image data in local storage；
Cloud server stores O&M environmental information data, wirelessly communicates and connects with master controller, and master controller calls
After the image data of local storage compares, without similar image data, then pass through the server in network call cloud
Data carry out image data matching；
The operating process that camera is used to record current operation maintenance personnel is recorded, which can be stored in local storage,
By machine learning algorithm, the helmet just will appreciate that O&M processing method under special circumstances；
Virtual image display is connected to the signal output end of master controller, is overlapped to the environmental state information of surrounding
And shown, by the information superposition on virtual image display, operation maintenance personnel just can understand the information of current environment.
As a further illustration of the above scheme, the virtual image display is connected by master controller and locally-stored device
Connect, recalled in carrying out O&M device procedures and the repair demolition step of the device-dependent and repair points for attention, with text or
The form of person's video is presented, the O&M process and information stored on helmet equipment, is all according to previous experienced operation maintenance personnel
It is recorded in strict accordance with O&M standards and specifications.
Further, the maintenance step of the storage is modifiable, at the scene under the requirement of operation maintenance personnel, passes through the helmet
The main controller authorization of equipment simultaneously allows current operation maintenance personnel to make oneself selection, while main controller takes with cloud server in real time
It must contact, operation maintenance personnel describes after current O&M situation and be authorized to could implement, and makes the progress of O&M process flexible.
The general magic identification model of the master controller is a kind of image identification system based on signature analysis, the model
Image recognition processes are divided into different levels, each level has the signature analysis mechanism for undertaking different responsibilities, they are successively
It works, is finally completed the identification to image.
A kind of operation method based on augmented reality self learning type intelligent helmet, which is characterized in that it is in helmet body
At least two cameras of upper setting are obtained present image by camera, are set using image recognition technology to camera shooting
Standby image is analyzed and processed, and is compared with background data base image data, current equipment is identified, by master controller
After analysis and processing, with the display technology of augmented reality, true environment and virtual device-dependent message are folded in real time
It is added to the same picture or space, the superposition that information is shown is carried out to the current device of identification, enables operation maintenance personnel to current
The equipment of maintenance is very clear.
It is the image data for first calling local storage during described and background data base image data compares
It compares, carries out figure again under the premise of no similar image data, then through the server data in network call cloud
As Data Matching；If can not all identify current environment by local and cloud, it is considered as new environmental data automatically and is stored,
So that next time calls.
After working as the completion current Context awareness, with the display function of the augmented reality of the helmet, to surrounding
Environmental state information is overlapped and is shown on virtual image display, passes through the information superposition on display, operation maintenance personnel
Just it can understand the information of current environment.
The present invention is using the above-mentioned attainable beneficial effect of technical solution:
The present invention is the development based on Internet of Things and big data, using by augmented reality, image recognition technology, machine
The mode of self study technology being added on the helmet, even if before making the operation maintenance personnel of a shortage operating experience be connected to O&M task
Toward destination, current device essential information can be identified in real time, and then information superposition is set in the same picture by the helmet
It is standby that task instruction operation is carried out to operation maintenance personnel, it follows the prescribed order, real-time display current device repairs progress, continuous voice broadcast
Guidance operation, moment record the operating habit of current operation maintenance personnel, and when outgoing task next time, which is just capable of calling
The habit of record starts to instruct work, and auxiliary operation maintenance personnel is smoothly carried out the work.
Detailed description of the invention
Fig. 1 is the structural diagram of the present invention；
Fig. 2 is principle schematic diagram of the invention；
Fig. 3 is equipment work outline flowchart of the invention.
Description of symbols: 1, helmet body 2, master controller 3, scan camera shooting head 4, recording camera 5, language
Sound broadcast device 6, virtual image display 7, local storage 8, cloud server.
Specific embodiment
The technical program is explained in detail below in conjunction with specific embodiment.
The present invention is a kind of based on augmented reality self learning type intelligent helmet and its operation method, it be based on Internet of Things and
The development of big data shows augmented reality to allow technology preferably to serve the professional of our grid power industries
Technology, image recognition technology, artificial intelligence self-learning algorithm apply on helmet equipment.Wherein, augmented reality display technology is
After image recognition success and information processing finish, information is overlapped to equipment over the display and is shown.Image recognition skill
Art, which acts on, to identify current object in real time by high-precision camera, and the intelligence learning algorithm based on Google improves it
Algorithm simultaneously applies to the helmet, combines it with image recognition technology, and realization image recognition is shown and the function of self study, passes through
Helmet equipment auxiliary operation maintenance personnel is smoothly carried out the work.
With image recognition technology in order to solve the problems, such as that image recognition is accomplished in computer program, with image
General magic identification model in identification, general evil spirit identification model is a kind of image identification system based on signature analysis, this mould
Type is divided into image recognition processes different levels, and each level has the signature analysis mechanism for undertaking different responsibilities, they according to
It is secondary to work, it is finally completed the identification to image.
As depicted in figs. 1 and 2, it is based on augmented reality self learning type intelligent helmet, it includes helmet body 1 and is arranged thereon
The master controller 2 for being embedded with general magic identification model, scan camera shooting head 3, record camera 4, sound broadcasting device 5, invent
As display 6, the local storage 7 and cloud server 8 of the storage image data being connect with master controller；
The scan camera shooting head records the signal input part that camera is connected to master controller, and scan camera shooting head is used
In obtaining current environment parameter, by master controller to obtained data are scanned after image recognition algorithm processing, first adjust
It is compared with the image data in local storage；
Cloud server stores O&M environmental information data, wirelessly communicates and connects with master controller, and master controller calls
After the image data of local storage compares, without similar image data, then pass through the server in network call cloud
Data carry out image data matching；
The operating process that camera is used to record current operation maintenance personnel is recorded, which can be stored in local storage,
By machine learning algorithm, the helmet just will appreciate that O&M processing method under special circumstances；
Virtual image display is connected to the signal output end of master controller, is overlapped to the environmental state information of surrounding
And shown, by the information superposition on virtual image display, operation maintenance personnel just can understand the information of current environment.
The virtual image display is connect by master controller with locally-stored device, is adjusted in carrying out O&M device procedures
Out with the repair demolition step of the device-dependent and maintenance points for attention, presented in the form of text or video, helmet equipment
The O&M process and information of upper storage are all to be recorded according to previous experienced operation maintenance personnel in strict accordance with O&M standards and specifications
's.
Further, the maintenance step of the storage is modifiable, at the scene under the requirement of operation maintenance personnel, passes through the helmet
The main controller authorization of equipment simultaneously allows current operation maintenance personnel to make oneself selection, while main controller takes with cloud server in real time
It must contact, operation maintenance personnel describes after current O&M situation and be authorized to could implement, and makes the progress of O&M process flexible.
As shown in figure 3, entire implementation process is the O&M people after helmet equipment reaches O&M place on operation maintenance personnel band
Member opens the camera of helmet equipment, and helmet voice prompting operation maintenance personnel starts to operate.Operation maintenance personnel passes through voice control device,
When operation maintenance personnel is said: " starting scanning circumstance ", camera begins to work automatically scanning current environment.When getting current environment
After, to obtained data are scanned after image recognition algorithm processing, image data comparison is locally first being carried out, if originally
Ground does not have similar image data, then carries out image data matching again by the server data in network call cloud.Until
Equipment confirmation has identified current environment after having matched.If can not all identify current environment by local and cloud, from
It is dynamic to be considered as new environmental data and stored, facilitate next calling.After completing current Context awareness, helmet equipment is opened
Dynamic augmented reality function, is overlapped environment (such as power equipment, safeguard, current temperature and humidity) status information of surrounding
And be shown on virtual image display, by the information superposition on display, operation maintenance personnel just can understand current environment
Information.After having understood the status information of current device, operation maintenance personnel pays close attention to the equipment for needing O&M, says to helmet equipment
Out: " maintenance XX equipment " is recalled immediately on virtual image display and is infused with the repair demolition step of the device-dependent and maintenance
Meaning item, is presented in the form of text or video, the O&M process and information stored on helmet equipment, is all that basis has in the past
The operation maintenance personnel of experience is recorded in strict accordance with O&M standards and specifications.When operation maintenance personnel voice: when " starting maintenance activity ", head
Helmet equipment starts voice broadcast and operation maintenance personnel is instructed to carry out according to step, real-time display O&M progress bar on display.At the scene
O&M process, inevitably encounter special circumstances, when encountering special circumstances, the maintenance step of helmet equipment storage be it is modifiable,
Therefore in face of complicated field maintenance process, at the scene under the requirement of operation maintenance personnel, helmet equipment can authorize simultaneously helmet equipment
Current operation maintenance personnel is allowed to make the selection of oneself, while helmet equipment is got in touch with Master Control Center in real time, operation maintenance personnel is retouched
Stating after current O&M situation and being authorized to could implement, and make the progress of O&M process flexible.During this period, helmet equipment can open two
A camera is responsible for for one communicating with Master Control Center, and an operating process for being responsible for recording current operation maintenance personnel, which can quilt
The helmet is stored in local, and by machine learning algorithm, the helmet just will appreciate that O&M processing method under special circumstances, under
Secondary encounter can neatly help operation maintenance personnel to make the selection of oneself after similar O&M problem.The above whole process is to increase
The combination of strong reality technology, image recognition technology, Machine self-learning technology, realizes the process of intelligent electric power and Internet of Things electric power.
Compared with prior art, the present invention augmented reality display technology, image recognition technology, artificial intelligence self study are calculated
Method applies on helmet equipment.
Equipment uses two high-precision cameras, realizes two aspect shootings of stereo-picture, and the image information of acquisition is logical
Later platform big data server compares.The equipment image that camera is shot is carried out at analysis using image recognition technology
Reason, compares with background data base image data, identifies current equipment.With the display technology of augmented reality, to knowledge
Other current device carries out the superposition that information is shown.Keep operation maintenance personnel very clear to the equipment currently safeguarded.
Augmented reality, it is a kind of technology by real world information and virtual world information Seamless integration-, is handle
Originally it is difficult entity information (visual information, sound, taste, the touching experienced in the certain time spatial dimension of real world
Feel etc.), it by science and technology such as computers, is superimposed again after analog simulation, virtual Information application to real world is felt by the mankind
Official is perceived, to reach the sensory experience of exceeding reality.True environment and virtual object have been added to same in real time
A picture or space exist simultaneously.Present image is obtained by camera, after CPU is analyzed and is handled, equipment correlation is believed
Cease the real world that is added to.With image recognition technology, in order to solve, image recognition is accomplished in computer program to be asked
Topic, with the general magic identification model in image recognition.General evil spirit identification model, is a kind of image recognition based on signature analysis
System, this model are divided into image recognition processes different levels, and each level has the signature analysis for undertaking different responsibilities
Mechanism, they successively work, and are finally completed the identification to image.Machine self-learning process is current by camera record
Maintenance process is stored in local, and when next time, other operation maintenance personnels wear the helmet equipment and reach same place or similar
Equipment needs repairing, and helmet equipment compares after automatically identifying current environment with the last time, recalls the maintenance of storage
Journey information assists operation maintenance personnel, and carries out signal prompting to operation maintenance personnel in key point.The technical program greatly improves fortune
The working efficiency of dimension personnel solves current operation maintenance personnel and needs just to be on duty by prolonged training, and working efficiency is low and works
The problem of time length.
What has been described above is only a preferred embodiment of the present invention, it is noted that for those of ordinary skill in the art
For, without departing from the concept of the premise of the invention, various modifications and improvements can be made, these belong to the present invention
Protection scope.
Claims (7)
1. one kind is based on augmented reality self learning type intelligent helmet, which is characterized in that it includes helmet body and is arranged thereon
Master controller, scan camera shooting head, recording camera, sound broadcasting device, the virtual image for being embedded with general magic identification model are shown
The local storage and cloud server of device, the storage image data being connect with master controller；
The scan camera shooting head records the signal input part that camera is connected to master controller, and scan camera shooting head is for obtaining
Current environment parameter is taken, by master controller to obtained data are scanned after image recognition algorithm processing, first calls this
Image data in ground memory compares；
Cloud server stores O&M environmental information data, wirelessly communicates and connects with master controller, and master controller calls local
After the image data of memory compares, without similar image data, then pass through the server data in network call cloud
Carry out image data matching；
The operating process that camera is used to record current operation maintenance personnel is recorded, which can be stored in local storage, pass through
Machine learning algorithm, the helmet just will appreciate that O&M processing method under special circumstances；
Virtual image display is connected to the signal output end of master controller, and the environmental state information of surrounding is overlapped and is added
With display, by the information superposition on virtual image display, operation maintenance personnel just can understand the information of current environment.
2. according to claim 1 be based on augmented reality self learning type intelligent helmet, which is characterized in that the virtual image
Display is connect by master controller with locally-stored device, and the maintenance with the device-dependent is recalled in carrying out O&M device procedures
Demounting procedure and maintenance points for attention, are presented in the form of text or video, the O&M process and letter stored on helmet equipment
Breath is all to be recorded according to previous experienced operation maintenance personnel in strict accordance with O&M standards and specifications.
3. according to claim 2 be based on augmented reality self learning type intelligent helmet, which is characterized in that the maintenance of storage walks
Suddenly be it is modifiable, at the scene under the requirement of operation maintenance personnel, pass through the main controller authorization of helmet equipment and allow current O&M people
Member makes the selection of oneself, while main controller is got in touch with cloud server in real time, and operation maintenance personnel describes current O&M situation
Afterwards and it is authorized to and could implements.
4. according to claim 1 be based on augmented reality self learning type intelligent helmet, which is characterized in that the master controller
General magic identification model be a kind of image identification system based on signature analysis, which is divided into image recognition processes not
Same level, each level have the signature analysis mechanism for undertaking different responsibilities, they successively work, and are finally completed to figure
The identification of picture.
5. the operation being adapted described in a kind of and claim 1-4 any one based on augmented reality self learning type intelligent helmet
Method, which is characterized in that it is that at least two cameras are arranged in helmet body, obtains present image by camera, adopts
The equipment image that camera is shot is analyzed and processed with image recognition technology, is carried out pair with background data base image data
Than, identify current equipment, it, will be true with the display technology of augmented reality after master controller is analyzed and is handled
Environment and virtual device-dependent message are added to the same picture or space in real time, carry out information to the current device of identification
The superposition of display keeps operation maintenance personnel very clear to the equipment currently safeguarded.
6. the operation method according to claim 5 based on augmented reality self learning type intelligent helmet, which is characterized in that
It is first the image data of local storage to be called to compare during described and background data base image data compares,
Image data is carried out again under the premise of no similar image data, then through the server data in network call cloud
Match；If can not all identify current environment by local and cloud, it is considered as new environmental data automatically and is stored, so as to next time
It calls.
7. the operation method according to claim 6 based on augmented reality self learning type intelligent helmet, which is characterized in that
After completing current Context awareness, with the display function of the augmented reality of the helmet, to the environmental state information of surrounding into
Row is superimposed and is shown on virtual image display, and by the information superposition on display, operation maintenance personnel just can understand currently
The information of environment.
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| CN106981243A (en) * | 2017-04-18 | 2017-07-25 | 国网山东省电力公司济宁供电公司 | Distribution uninterrupted operation simulation training system and method based on augmented reality |
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| CN107316165A (en) * | 2017-07-28 | 2017-11-03 | 深圳增强现实技术有限公司 | Machine working specification creates system and operation Modeling Server |
| CN107463153B (en) * | 2017-08-11 | 2019-08-20 | 深圳增强现实技术有限公司 | A kind of management method of equipment working state, management equipment and management system |
| CN108464554A (en) * | 2018-04-03 | 2018-08-31 | 深圳市晨芯成科技有限公司 | The fire-fighting AR helmets, police AR glasses based on artificial intelligence image recognition and application |
| CN108875971A (en) * | 2018-06-14 | 2018-11-23 | 广东电网有限责任公司 | Device context diagnostic method, device, the diagnosis helmet and diagnosis server |
| CN110531516A (en) * | 2019-07-12 | 2019-12-03 | 上海大学 | A kind of intelligent apparatus of wear-type eye-tracking operation auxiliary |
| CN110436082B (en) * | 2019-08-08 | 2022-03-04 | 上海萃钛智能科技有限公司 | Intelligent garbage classification recognition prompting device, system and method |
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