CN105929948A - Augmented reality based self-learning type intelligent helmet and running method therefor - Google Patents
Augmented reality based self-learning type intelligent helmet and running method therefor Download PDFInfo
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- CN105929948A CN105929948A CN201610237553.8A CN201610237553A CN105929948A CN 105929948 A CN105929948 A CN 105929948A CN 201610237553 A CN201610237553 A CN 201610237553A CN 105929948 A CN105929948 A CN 105929948A
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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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- General Engineering & Computer Science (AREA)
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- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses an augmented reality based self-learning type intelligent helmet and a running method therefor. The intelligent helmet is characterized by comprising a helmet main body as well as a main controller embedded with a pandemonium model, a scanning camera, a recording camera, a voice broadcasting apparatus, a virtual imaging display, a local memory connected with the main controller and used for storing image data, and a cloud server, which are arranged on the helmet main body. According to the intelligent helmet and the running method, operation and maintenance personnel can clearly know the condition of a currently maintained device, so that the problems of low working efficiency and long working time due to the fact that current operation and maintenance personnel can work only after being trained for a long time can be effectively solved.
Description
Technical field
The present invention relates to intelligent electric equipment technical field, more particularly to a kind of augmented reality self learning type intelligence
The helmet and operation method thereof.
Background technology
During city is growing, people are increasing to the demand of electric power energy, it is necessary to our electrical network enterprise
Industry invests considerable capital to build, and wherein has the substantial amounts of equipment concerning operation of power networks and safety monitoring.Such substantial amounts of equipment
Need to put into a large amount of human cost to go to safeguard and operation.For this reason, it is necessary to develop one can reduce human cost, improve work
Make the equipment that operation maintenance personnel can be assisted to work of efficiency.
Summary of the invention
The one that the purpose of the present invention is contemplated to solve the deficiency of prior art and provides can solve current operation maintenance personnel
Need through for a long time training the most on duty, the problem of inefficiency and longevity of service based on augmented reality self learning type
Intelligent helmet.
It is a further object of the present invention to provide a kind of current operation maintenance personnel needs that can solve in training just for a long time
The operation method based on augmented reality self learning type intelligent helmet of the problem of hilllock, inefficiency and longevity of service.
The present invention is that the following technical solution of employing is attained in that a kind of based on augmented reality self learning type intelligence
The energy helmet, it is characterised in that it includes that the general evil spirit that is embedded with of helmet body and upper setting thereof identifies the master controller of model, scanning
The storage view data that camera, recording camera, sound broadcasting device, virtual image display are connected with master controller
Local storage and cloud server；
Described scan camera shooting head, recording camera are connected to the signal input part of master controller, and scan camera shooting head is used
In obtaining current environment parameter, by master controller to the data that obtain of scanning after image recognition algorithm processes, first adjust
Contrast by the view data in local storage；
Cloud server, stores O&M environmental information data, is connected with master controller radio communication, and master controller calls
After the view data of local storage contrasts, there is no similar view data, then by the server in network call high in the clouds
Data carry out view data coupling；
Recording camera and be used for recording the operating process of current operation maintenance personnel, this process 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 part of master controller, is overlapped the environmental state information of surrounding
And shown, by the information superposition on virtual image display, operation maintenance personnel just will appreciate that the information of current environment.
Further illustrating as such scheme, described virtual image display is by master controller with locally-stored device even
Connect, in carrying out O&M device procedures, recall the repair demolition step with this device-dependent and maintenance points for attention, with word or
The form of person's video presents, and the O&M process that helmet equipment stores and information, be all according to conventional experienced operation maintenance personnel
Record in strict accordance with O&M standards and norms.
Further, the maintenance step of described storage is modifiable, at the scene under the requirement of operation maintenance personnel, passes through the helmet
The main controller mandate of equipment also allows current operation maintenance personnel to make the selection of oneself, and main controller takes with cloud server in real time simultaneously
Must contact, after operation maintenance personnel describes current O&M situation and be authorized to could implement, make O&M process flexible carry out.
The general evil spirit of described master controller identifies that model is a kind of image identification system based on signature analysis, this model
Being divided into different levels, each level to have the signature analysis undertaking different responsibility machine-processed image recognition processes, they are successively
It is operated, is finally completed the identification to image.
A kind of operation method based on augmented reality self learning type intelligent helmet, it is characterised in that it is in helmet body
On at least two camera is set, by camera obtain present image, use image recognition technology camera shooting is set
Standby image is analyzed processing, and contrasts with background data base image data, identifies current equipment, through master controller
After analyzing and processing, use the Display Technique of augmented reality, real environment and virtual device-dependent message are folded in real time
It is added to same picture or space, the current device identified is carried out the superposition that information shows, enables operation maintenance personnel to currently
The equipment safeguarded is very clear.
Carry out in comparison process described with background data base image data, be the view data first calling local storage
Contrast, under there is no similar view data premise, more again carry out figure by the server data in network call high in the clouds
As Data Matching；If by local and high in the clouds all None-identified current environments, being the most automatically considered as new environmental data and store,
So that next time calls.
After having worked as described current Context awareness, use the display function of the augmented reality of the helmet, to surrounding
Environmental state information is overlapped and shows on virtual image display, by the information superposition on display, operation maintenance personnel
Just will appreciate that the information of current environment.
The present invention uses above-mentioned technical solution can reach to provide the benefit that:
The present invention is based on Internet of Things and the development of big data, uses augmented reality, image recognition technology, machine
The mode being added on the helmet of self study technology, even if before making an operation maintenance personnel lacking operating experience receive O&M task
Toward destination, it is possible to Real time identification current device essential information, and by information superposition at same picture, then set by the helmet
For operation maintenance personnel is carried out task instruction operation, follow the prescribed order, in real time display current device maintenance progress, continuous voice broadcast
Instructing operation, the moment records the operating habit of current operation maintenance personnel, and in time going out task next time, this helmet equipment just can call
The custom of record starts to instruct work, auxiliary operation maintenance personnel to carry out the work smoothly.
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the structural principle schematic diagram of the present invention；
Fig. 3 is the equipment work outline flowchart of the present invention.
Description of reference numerals: 1, helmet body 2, master controller 3, scan camera shooting head 4, recording camera 5, voice are broadcast
Reporting device 6, virtual image display 7, local storage 8, cloud server.
Detailed description of the invention
Below in conjunction with specific embodiment, the technical program is explained in detail.
The present invention is a kind of based on augmented reality self learning type intelligent helmet and operation method thereof, it be based on Internet of Things and
The development of big data, in order to allow technology preferably serve the professional of our grid power industry, shows augmented reality
Technology, image recognition technology, artificial intelligence self-learning algorithm apply on helmet equipment.Wherein, augmented reality Display Technique, be
After image recognition success information processing are complete, over the display equipment are overlapped information and show.Image recognition skill
Art acts on can come Real time identification current object, intelligence learning algorithm based on Google by high accuracy camera, improves it
Algorithm also applies to the helmet so that it is combine with image recognition technology, it is achieved image recognition shows and the function of self study, passes through
This helmet equipment auxiliary operation maintenance personnel is carried out the work smoothly.
Use the problem that image recognition technology is accomplished in computer program in order to solve image recognition, use image
General evil spirit in identification identifies that model, general evil spirit identify that model is a kind of image identification system based on signature analysis, this mould
Type is divided into different levels, each level to have the signature analysis undertaking different responsibility machine-processed image recognition processes, and they depend on
Secondary it is operated, is finally completed the identification to image.
As depicted in figs. 1 and 2, based on augmented reality self learning type intelligent helmet, it includes helmet body 1 and upper setting thereof
Be embedded with general evil spirit identify the master controller 2 of model, scan camera shooting head 3, record camera 4, sound broadcasting device 5, invent
The local storage 7 of the storage view data that picture display 6 is connected with master controller and cloud server 8；
Described scan camera shooting head, recording camera are connected to the signal input part of master controller, and scan camera shooting head is used
In obtaining current environment parameter, by master controller to the data that obtain of scanning after image recognition algorithm processes, first adjust
Contrast by the view data in local storage；
Cloud server, stores O&M environmental information data, is connected with master controller radio communication, and master controller calls
After the view data of local storage contrasts, there is no similar view data, then by the server in network call high in the clouds
Data carry out view data coupling；
Recording camera and be used for recording the operating process of current operation maintenance personnel, this process 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 part of master controller, is overlapped the environmental state information of surrounding
And shown, by the information superposition on virtual image display, operation maintenance personnel just will appreciate that the information of current environment.
Described virtual image display is connected with locally-stored device by master controller, adjusts in carrying out O&M device procedures
Go out the repair demolition step with this device-dependent and maintenance points for attention, present with the form of word or video, helmet equipment
The O&M process of upper storage and information, be all to record in strict accordance with O&M standards and norms according to conventional experienced operation maintenance personnel
's.
Further, the maintenance step of described storage is modifiable, at the scene under the requirement of operation maintenance personnel, passes through the helmet
The main controller mandate of equipment also allows current operation maintenance personnel to make the selection of oneself, and main controller takes with cloud server in real time simultaneously
Must contact, after operation maintenance personnel describes current O&M situation and be authorized to could implement, make O&M process flexible carry out.
As it is shown on figure 3, whole implementation process is after on operation maintenance personnel band, helmet equipment arrives O&M place, O&M people
Member opens the camera of helmet equipment, and helmet voice message operation maintenance personnel starts operation.Operation maintenance personnel passes through voice control device,
When operation maintenance personnel is said: " beginning scanning circumstance ", camera begins to work and automatically scans current environment.When getting current environment
After, the data obtaining scanning, after image recognition algorithm processes, first carry out view data contrast in this locality, if this
Ground does not has similar view data, more again carries out view data coupling by the server data in network call high in the clouds.Until
Mate rear equipment to confirm to have identified current environment.If by local and high in the clouds all None-identified current environments, then certainly
Dynamic it be considered as new environmental data and store, facilitate call next time.After completing current Context awareness, helmet equipment opens
Dynamic augmented reality function, is overlapped environment (such as power equipment, safeguard, the current humiture etc.) status information of surrounding
And show on virtual image display, by the information superposition on display, operation maintenance personnel just will appreciate that current environment
Information.After having understood the status information of current device, operation maintenance personnel pays close attention to need the equipment of O&M, says helmet equipment
Go out: " safeguarding XX equipment ", virtual image display recalls the repair demolition step with this device-dependent and maintenance note immediately
Meaning item, presents with the form of word or video, the O&M process that helmet equipment stores and information, is all according to having in the past
The operation maintenance personnel of experience is recorded in strict accordance with O&M standards and norms.When operation maintenance personnel voice: time " beginning maintenance activity ", head
Helmet equipment starts voice broadcast and instructs operation maintenance personnel to carry out according to step, and display shows O&M progress bar in real time.At the scene
O&M process, run into special circumstances unavoidably, when running into special circumstances, helmet equipment storage maintenance step be modifiable,
Therefore in the face of complicated field maintenance process, under the requirement of helmet equipment operation maintenance personnel at the scene, helmet equipment can authorize also
Allowing current operation maintenance personnel to make the selection of oneself, helmet equipment is got in touch with Master Control Center in real time simultaneously, and operation maintenance personnel is retouched
After stating current O&M situation and be authorized to could implement, make O&M process flexible carry out.During this period, helmet equipment can open two
Individual camera, is responsible for and Master Control Center communication for one, and an operating process being responsible for recording current operation maintenance personnel, this process can quilt
The helmet is stored in this locality, and by machine learning algorithm, the helmet just will appreciate that O&M processing method under special circumstances, under
Secondary run into similar O&M problem after operation maintenance personnel can be helped neatly to make the selection of oneself.The most whole process is to increase
Strong reality technology, image recognition technology, the combination of Machine self-learning technology, it is achieved intelligent electric power and the process of Internet of Things electric power.
Augmented reality Display Technique, image recognition technology, artificial intelligence self study compared with prior art, are calculated by the present invention
Method applies on helmet equipment.
Equipment uses two high accuracy cameras, it is achieved two aspect shootings of stereo-picture, the image information of acquisition is led to
Later the big data server of platform contrasts.The equipment drawing picture using image recognition technology to shoot camera is analyzed place
Reason, contrasts with background data base image data, identifies current equipment.Use the Display Technique of augmented reality, to knowledge
Other current device carries out the superposition that information shows.Enable operation maintenance personnel very clear to the current equipment safeguarded.
Augmented reality, it is a kind of by real world information with the technology of virtual world information Seamless integration-, is handle
Originally (visual information, sound, taste, touch to be difficult to the entity information experienced in the certain time spatial dimension of real world
Feel), by science and technology such as computers, superposition again after analog simulation, by virtual Information application to real world, felt by the mankind
The perception of official institute, thus reach the sensory experience of exceeding reality.Real environment and virtual object have been added to same in real time
Individual picture or space exist simultaneously.Present image is obtained, after CPU analyzes and processes, by relevant for equipment letter by camera
Cease the real world that is added to.Use image recognition technology in order to solve image recognition accomplished asking in computer program
Topic, uses the general evil spirit in image recognition to identify model.General evil spirit identifies model, is a kind of image recognition based on signature analysis
System, this model is divided into different levels, each level to have image recognition processes undertaking the signature analysis of different responsibilities
Mechanism, they are operated successively, are finally completed the identification to image.Machine self-learning process is current by camera record
Maintenance process, is stored in this locality, when next time other operation maintenance personnel wear this helmet equipment and arrive same place or similar
Equipment needs repairing, and helmet equipment contrasts with the last time after automatically identifying current environment, recalls the maintenance of storage
Journey information, assists operation maintenance personnel, and in key point, operation maintenance personnel is carried out signal prompting.The technical program is greatly improved fortune
The operating efficiency of dimension personnel, solving current operation maintenance personnel needs through training for a long time the most on duty, inefficiency and work
The problem of time length.
Above-described is only the 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, it is also possible to make some deformation and improvement, these broadly fall into the present invention
Protection domain.
Claims (7)
1. one kind based on augmented reality self learning type intelligent helmet, it is characterised in that it includes helmet body and upper setting thereof
It is embedded with general evil spirit and identifies that the master controller of model, scan camera shooting head, recording camera, sound broadcasting device, virtual image show
The local storage of the storage view data that device is connected with master controller and cloud server；
Described scan camera shooting head, recording camera are connected to the signal input part of master controller, and scan camera shooting head is used for obtaining
Take current environment parameter, by master controller to the data that obtain of scanning after image recognition algorithm processes, first call this
View data in ground memory contrasts；
Cloud server, stores O&M environmental information data, is connected with master controller radio communication, and master controller calls this locality
After the view data of memory contrasts, there is no similar view data, then by the server data in network call high in the clouds
Carry out view data coupling；
Recording camera and be used for recording the operating process of current operation maintenance personnel, this process 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 part of master controller, is overlapped the environmental state information of surrounding and adds
With display, by the information superposition on virtual image display, operation maintenance personnel just will appreciate that the information of current environment.
The most according to claim 1 based on augmented reality self learning type intelligent helmet, it is characterised in that described virtual image
Display is connected with locally-stored device by master controller, recalls the maintenance with this device-dependent in carrying out O&M device procedures
Demounting procedure and maintenance points for attention, present with the form of word or video, the O&M process that helmet equipment stores and letter
Breath, all records in strict accordance with O&M standards and norms according to conventional experienced operation maintenance personnel.
The most according to claim 1 based on augmented reality self learning type intelligent helmet, it is characterised in that the dimension of described storage
It is modifiable for repairing step, at the scene under the requirement of operation maintenance personnel, by main controller mandate the current fortune of permission of helmet equipment
Dimension personnel make the selection of oneself, and main controller is got in touch with cloud server in real time simultaneously, and operation maintenance personnel describes current O&M
After situation and be authorized to could implement.
The most according to claim 1 based on augmented reality self learning type intelligent helmet, it is characterised in that described master controller
General evil spirit identify model be a kind of image identification system based on signature analysis, this model is divided into image recognition processes not
Same level, each level has the signature analysis mechanism undertaking different responsibility, and they are operated successively, are finally completed figure
The identification of picture.
5. one kind with the operation adapted based on augmented reality self learning type intelligent helmet described in claim 1-4 any one
Method, it is characterised in that it is to arrange at least two camera in helmet body, obtains present image by camera, adopts
Equipment drawing picture camera shot by image recognition technology be analyzed process, with background data base image data carry out right
Ratio, identifies current equipment, after master controller analysis and processing, uses the Display Technique of augmented reality, will be real
Environment and virtual device-dependent message are added to same picture or space in real time, and the current device identified is carried out information
The superposition of display, enables operation maintenance personnel very clear to the current equipment safeguarded.
Operation method based on augmented reality self learning type intelligent helmet the most according to claim 5, it is characterised in that
Described and background data base image data carries out in comparison process, is that the view data first calling local storage contrasts,
Under there is no similar view data premise, more again carry out view data by the server data in network call high in the clouds
Join；If by local and high in the clouds all None-identified current environments, being the most automatically considered as new environmental data and store, in order to next time
Call.
Operation method based on augmented reality self learning type intelligent helmet the most according to claim 5, it is characterised in that
After completing described current Context awareness, use the display function of the augmented reality of the helmet, the ambient condition of surrounding is believed
Breath is overlapped and shows that, on virtual image display, by the information superposition on display, operation maintenance personnel just will appreciate that
The information of current environment.
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| CN201610237553.8A CN105929948B (en) | 2016-04-14 | 2016-04-14 | Based on augmented reality self learning type intelligent helmet and its operation method |
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| CN106845502A (en) * | 2017-01-23 | 2017-06-13 | 东南大学 | It is a kind of to visualize guidance method for the Wearable servicing unit of overhaul of the equipments and overhaul of the equipments |
| CN106940952A (en) * | 2017-04-18 | 2017-07-11 | 国网山东省电力公司济宁供电公司 | A kind of simulation system of distribution uninterrupted operation |
| 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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| CN107391707A (en) * | 2017-07-28 | 2017-11-24 | 深圳增强现实技术有限公司 | Machine Operating Guideline system and ustomer premises access equipment |
| CN107463153A (en) * | 2017-08-11 | 2017-12-12 | 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 |
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| 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 |
| CN110436082A (en) * | 2019-08-08 | 2019-11-12 | 上海萃钛智能科技有限公司 | A kind of Intelligent refuse classification identification suggestion device, system and method |
| 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 |
| CN111767967A (en) * | 2020-06-16 | 2020-10-13 | 上海钜星科技有限公司 | Intelligent customs identification and management system |
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