CN105824416A - Method for combining virtual reality technique with cloud service technique - Google Patents
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Abstract
The invention discloses a method for combining a virtual reality technique with a cloud service technique. The method for combining the virtual reality technique with the cloud service technique comprises a scene data collecting and uploading step, a data downloading step, a scene mapping step, a locating step and a motion way mapping step. According to the method for combining the virtual reality technique with the cloud service technique, a virtual reality world is associated with the real world; the real-time display is carried out on a small map of the virtual reality world through locating; meanwhile, a user can observe an own behavioral action in real time; particularly, a building in the real world is exhibited in a three-dimensional view manner by adopting the way of the small map; moreover, the method for combining the virtual reality technique with the cloud service technique is associated with the location, and is vivid and intuitional; a real environment is understood and analyzed by adopting an application real scene sensing technique and a corresponding operational processing technique; some characteristics in the real environment are mapped into a virtual scene shown to the user, so as to improve the user experience.
Description
Technical field
The present invention relates to a kind of method virtual reality technology being combined with cloud service technology.
Background technology
Virtual reality technology is a kind of can to create with the computer simulation system in the experiencing virtual world it and utilize computer to generate a kind of simulated environment to be the interactively Three-Dimensional Dynamic what comes into a driver's of a kind of Multi-source Information Fusion and the system emulation of entity behavior makes user be immersed in this environment.Simultaneously, virtual reality is to utilize computer simulation to produce a three-dimensional virtual world, there is provided user about the simulation of the sense organs such as vision, audition, sense of touch, allow user as being personally on the scene, the things in three-dimensional space can be observed in time, without limitation.Virtual reality is the comprehensive of multiple technologies, including real-time three-dimensional computer graphics techniques, Radix Rumicis (wide the visual field) stereo display technique, the tracking technique to observer's head, eye and hands, and sense of touch/power feel feedback, stereo, network transmission, phonetic entry export technique etc..
In virtual reality technology, when user carry out position move time, computer can carry out immediately complexity computing, pass accurate 3D world image back generation telepresenc.This Integration ofTechnology later development of the technology such as computer graphical (CG) technology, computer simulation technique, artificial intelligence, sensing technology, Display Technique, network parallel process, is a kind of high-tech analog systems generated by computer technology auxiliary.
But existing virtual reality technology cannot be associated with real real world, the world in virtual reality cannot be coupled together by user with real world, therefore always produces distance perspective.Meanwhile, the most virtual reality is not combined with cloud service.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, a kind of method virtual reality technology being combined with cloud service technology is provided, by the world of virtual reality, the real world is associated with reality, uses cloud simultaneously, facilitates the realization of multiple virtual reality terminal.
It is an object of the invention to be achieved through the following technical solutions: a kind of method virtual reality technology being combined with cloud service technology, it includes contextual data collection and uploading step, data download step, scene mapping step, positioning step and motion mode mapping step；
Described contextual data collection includes with uploading step: the entity object of the reality that user treats virtual image in advance carries out data acquisition, has gathered and has been uploaded to Cloud Server afterwards and preserves；
Described data download step includes: corresponding contextual data is downloaded in Cloud Server by user by virtual reality terminal；
Described scene mapping step shows for the region around the virtual scene of the data downloaded and user is carried out virtual reality in virtual reality terminal, including for virtual network element and real entity object being shown among GIS-Geographic Information System and form the first scene mapping sub-step of composite space and be used for being mapped as scene around the second scene mapping step of virtual scene；
Described GIS-Geographic Information System includes that electronic three-dimensional map, the first described scene mapping sub-step include following sub-step:
S111: described network element carries out GISization, described network element is the dummy object being not present in reality；
S112: described composite space is carried out three-dimensional visualization；
S113: virtual reality terminal presents the composite space after three-dimensional visualization and dummy object position；
The second described scene mapping step includes following sub-step:
S121: by the reality scene information of reality scene sensing module capture user's surrounding enviroment；
S122: calculate processing module and extract reality scene feature from described reality scene information, based on mapping relations set in advance, it is the feature for building virtual scene by described reality scene Feature Mapping, and based on the described feature construction virtual reality scenario information for building virtual scene；
S123: virtual reality terminal presents described virtual reality scenario information；
Described positioning step includes:
S21: initialize indoor reference point, is loaded into reference point information in data base；
S22: arrange queue and filter parameter, gathers WIFI signal data to queue；
S23: utilize the data queue gathered, calculates RSSI average corresponding for each AP on current location；
S24: travel through all reference points, whether the RSSI average calculated according to step S23 is within corresponding AP is about the RSSI interval of certain reference point, it is judged that whether this reference point is concentrated in the judgement of corresponding A P；
S25: ask each AP judge collection common factor:
(1) if only one of which reference point in Jiao Jiing, this reference point coordinate is exported as the estimation of algorithm, and terminates；
(2) if more than one reference point in Jiao Jiing, then calculate RSSI error vector, according to error to the reference point sequence in occuring simultaneously, and select k the point that wherein error is minimum, to weight k nearest neighbor algorithm calculating estimated result, and terminate；
(3) if occuring simultaneously for empty set, calculate each center judging collection, and using the center at these collection centers as Global center, Euler's distance is utilized to get rid of the judgement collection that centre-to-centre spacing Global center is farthest, and remaining judgement collection is made sub-step in step S25 (1), sub-step (2) and the intersection operation of sub-step (3), until obtaining estimated result, and terminate；If going to last layer still can not get result, perform sub-step (4)；
(4) if sub-step (3) goes to last layer, occuring simultaneously is still empty set, then utilize the error distance between current RSSI average and reference point RSSI average, according to RSSI error minimum principle, utilizes weighting k nearest neighbor algorithm to calculate estimated result；
S26: the composite space after location information and three-dimensional visualization is mapped, shows current location information in composite space；
Described motion mode positioning step includes following sub-step:
S31: multiple and virtual reality terminal association sensory package is set at person joint；
The information of S32: each sensory package sends in real time to virtual reality terminal；
S33: virtual reality terminal resolves after receiving information, and be presented in described virtual reality scenario information.
Described virtual reality terminal is virtual implementing helmet or mobile terminal.
Described positioning step also includes an off-line training step:
S201: discretization area to be targeted, takes N number of position as a reference point in area to be targeted uniformly；
S202: scan WIFI signal in the reference point described in each step S201, records received signal strength indicator value RSSI of each AP interior of continuous a period of time；
S203: process the RSSI vector of gained in step 202, calculate each AP interval at RSSI average, variance and the minimax of this reference point, these parameters are saved in data base together with mark SSID of corresponding A P；
S204: all of reference point is carried out S203 and the operation of step S204, until all of reference point is all trained complete, thus sets up the RSSI distribution map that area to be targeted is complete.
The described composite space after three-dimensional visualization is the 3-D view of building.
Described virtual reality terminal presents the visual angle adjustable of the composite space after three-dimensional visualization.
The time series frame data that reality scene information is capture user's surrounding enviroment image of the capture user's surrounding enviroment described in step S121；Described calculating processing module extracts reality scene feature from described reality scene information and described time series frame data is carried out pattern recognition analysis, to extract reality scene feature.
Described reality scene sensing module includes: depth camera sensor, depth camera sensor and one or more the combination in the binding entity of RGB image sensor, ultrasonic locating sensing module, thermal imaging orientation sensing module and electromagnetic location sensing module.
Described sensory package include 3-axis acceleration sensor, three axis angular rate sensors, three axle geomagnetic sensors one or more.
When the data of certain scene are updated in Cloud Server, to downloading the virtual reality terminal PUSH message of this scene, described virtual reality terminal is reminded to be updated.
The invention has the beneficial effects as follows:
The world of Virtual Realization is associated by the present invention with real world, shows in real time by being positioned at the little map in the world of Virtual Realization, and user can be with Real Time Observation to factum action simultaneously.Meanwhile, use cloud, be acquired being saved in Cloud Server by contextual data in advance, need the virtual reality terminal used only with downloading.
Specifically, use the mode of little map that the building of real world carries out the displaying of 3-D view, and be associated with location, visual in image；Use application reality scene sensing technology and corresponding calculation process technology to understand and analyze actual environment, by some Feature Mapping in actual environment to the virtual scene being presented to user, thus improve Consumer's Experience；And, location therein mode realizes moving the location of target (people, equipment) and three-dimensional position shows, there is provided coordinate to estimate for applying based on location-based service of virtual reality terminal, possess higher precision and relatively low time delay (time delay can be arranged indirectly by the scan period)；It addition, Cloud Server also provides for updating push function, improve reliability.
Accompanying drawing explanation
Fig. 1 is the inventive method flow chart.
Detailed description of the invention
Technical scheme is described in further detail below in conjunction with the accompanying drawings:
As it is shown in figure 1, a kind of method virtual reality technology being combined with cloud service technology, it includes contextual data collection and uploading step, data download step, scene mapping step, positioning step and motion mode mapping step；
Described contextual data collection includes with uploading step: the entity object of the reality that user treats virtual image in advance carries out data acquisition, has gathered and has been uploaded to Cloud Server afterwards and preserves；
Described data download step includes: corresponding contextual data is downloaded in Cloud Server by user by virtual reality terminal；
Described scene mapping step shows for the region around the virtual scene of the data downloaded and user is carried out virtual reality in virtual reality terminal, including for virtual network element and real entity object being shown among GIS-Geographic Information System and form the first scene mapping sub-step of composite space and be used for being mapped as scene around the second scene mapping step of virtual scene；
Described GIS-Geographic Information System includes that electronic three-dimensional map, the first described scene mapping sub-step include following sub-step:
S111: described network element carries out GISization, described network element is the dummy object being not present in reality；
S112: described composite space is carried out three-dimensional visualization；
S113: virtual reality terminal presents the composite space after three-dimensional visualization and dummy object position；
The second described scene mapping step includes following sub-step:
S121: by the reality scene information of reality scene sensing module capture user's surrounding enviroment；
S122: calculate processing module and extract reality scene feature from described reality scene information, based on mapping relations set in advance, it is the feature for building virtual scene by described reality scene Feature Mapping, and based on the described feature construction virtual reality scenario information for building virtual scene；
S123: virtual reality terminal presents described virtual reality scenario information；
Described positioning step includes:
S21: initialize indoor reference point, is loaded into reference point information in data base；
S22: arrange queue and filter parameter, gathers WIFI signal data to queue；
S23: utilize the data queue gathered, calculates RSSI average corresponding for each AP on current location；
S24: travel through all reference points, whether the RSSI average calculated according to step S23 is within corresponding AP is about the RSSI interval of certain reference point, it is judged that whether this reference point is concentrated in the judgement of corresponding A P；
S25: ask each AP judge collection common factor:
(1) if only one of which reference point in Jiao Jiing, this reference point coordinate is exported as the estimation of algorithm, and terminates；
(2) if more than one reference point in Jiao Jiing, then calculate RSSI error vector, according to error to the reference point sequence in occuring simultaneously, and select k the point that wherein error is minimum, to weight k nearest neighbor algorithm calculating estimated result, and terminate；
(3) if occuring simultaneously for empty set, calculate each center judging collection, and using the center at these collection centers as Global center, Euler's distance is utilized to get rid of the judgement collection that centre-to-centre spacing Global center is farthest, and remaining judgement collection is made sub-step in step S25 (1), sub-step (2) and the intersection operation of sub-step (3), until obtaining estimated result, and terminate；If going to last layer still can not get result, perform sub-step (4)；
(4) if sub-step (3) goes to last layer, occuring simultaneously is still empty set, then utilize the error distance between current RSSI average and reference point RSSI average, according to RSSI error minimum principle, utilizes weighting k nearest neighbor algorithm to calculate estimated result；
S26: the composite space after location information and three-dimensional visualization is mapped, shows current location information in composite space；
Described motion mode positioning step includes following sub-step:
S31: multiple and virtual reality terminal association sensory package is set at person joint；
The information of S32: each sensory package sends in real time to virtual reality terminal；
S33: virtual reality terminal resolves after receiving information, and be presented in described virtual reality scenario information.
Described virtual reality terminal is virtual implementing helmet or mobile terminal.
Described positioning step also includes an off-line training step:
S201: discretization area to be targeted, takes N number of position as a reference point in area to be targeted uniformly；
S202: scan WIFI signal in the reference point described in each step S201, records received signal strength indicator value RSSI of each AP interior of continuous a period of time；
S203: process the RSSI vector of gained in step 202, calculate each AP interval at RSSI average, variance and the minimax of this reference point, these parameters are saved in data base together with mark SSID of corresponding A P；
S204: all of reference point is carried out S203 and the operation of step S204, until all of reference point is all trained complete, thus sets up the RSSI distribution map that area to be targeted is complete.
The described composite space after three-dimensional visualization is the 3-D view of building.
Described virtual reality terminal presents the visual angle adjustable of the composite space after three-dimensional visualization.
The time series frame data that reality scene information is capture user's surrounding enviroment image of the capture user's surrounding enviroment described in step S121；Described calculating processing module extracts reality scene feature from described reality scene information and described time series frame data is carried out pattern recognition analysis, to extract reality scene feature.
Described reality scene sensing module includes: depth camera sensor, depth camera sensor and one or more the combination in the binding entity of RGB image sensor, ultrasonic locating sensing module, thermal imaging orientation sensing module and electromagnetic location sensing module.
Described sensory package include 3-axis acceleration sensor, three axis angular rate sensors, three axle geomagnetic sensors one or more.
When the data of certain scene are updated in Cloud Server, to downloading the virtual reality terminal PUSH message of this scene, described virtual reality terminal is reminded to be updated.
The present embodiment is movable for being applied to market, and activity is held in certain market, needs to use virtual reality, and user needs the method by the present invention to search out the particular artifact of ad-hoc location.Such as, virtual NPC etc. is found.
First, the entity object of the reality that user treats virtual image in advance carries out data acquisition, has gathered and has been uploaded to Cloud Server afterwards and preserves；Described data download step includes: corresponding contextual data is downloaded in Cloud Server by user by virtual reality terminal.When the data of certain scene are updated in Cloud Server, to downloading the virtual reality terminal PUSH message of this scene, described virtual reality terminal is reminded to be updated.
Afterwards, user obtains the first scene and maps, and for the virtual scene of data downloaded, carries out virtual reality and show being the shape in whole market and floor and the ad-hoc location of virtual NPC.
S111: network element carries out GISization, described network element is the dummy object being not present in reality, and network element in the present embodiment is virtual NPC；
S112: described composite space carries out three-dimensional visualization, i.e. obtains shape and the floor in whole market, it is also possible to include the part landform outside market；
S113: virtual reality terminal presents the shape in the whole market after three-dimensional visualization and floor and virtual NPC certain position in market, realizes (picture i.e. occupied in virtual reality terminal is a corner) in the present embodiment by the way of little map.
Described virtual reality terminal presents the visual angle adjustable of the composite space after three-dimensional visualization.
Then, user obtains the second scene and maps, and i.e. obtains the virtual reality information of surrounding.
S121: by the reality scene information of reality scene sensing module capture user's surrounding enviroment；
S122: calculate processing module and extract reality scene feature from described reality scene information, based on mapping relations set in advance, it is the feature for building virtual scene by described reality scene Feature Mapping, and based on the described feature construction virtual reality scenario information for building virtual scene；
S123: virtual reality terminal presents described virtual reality scenario information, in the present embodiment, is carried out all pictures realizing and occupying whole picture in addition to little map segment by the form of virtual animation.
Wherein, the time series frame data that reality scene information is capture user's surrounding enviroment image of the capture user's surrounding enviroment described in step S121；Described calculating processing module extracts reality scene feature from described reality scene information and described time series frame data is carried out pattern recognition analysis, to extract reality scene feature.
Then, oneself is positioned by user.
Described positioning step includes:
S21: initialize indoor reference point, is loaded into reference point information in data base；
S22: arrange queue and filter parameter, gathers WIFI signal data to queue；
S23: utilize the data queue gathered, calculates RSSI average corresponding for each AP on current location；
S24: travel through all reference points, whether the RSSI average calculated according to step S23 is within corresponding AP is about the RSSI interval of certain reference point, it is judged that whether this reference point is concentrated in the judgement of corresponding A P；
S25: ask each AP judge collection common factor:
(1) if only one of which reference point in Jiao Jiing, this reference point coordinate is exported as the estimation of algorithm, and terminates；
(2) if more than one reference point in Jiao Jiing, then calculate RSSI error vector, according to error to the reference point sequence in occuring simultaneously, and select k the point that wherein error is minimum, to weight k nearest neighbor algorithm calculating estimated result, and terminate；
(3) if occuring simultaneously for empty set, calculate each center judging collection, and using the center at these collection centers as Global center, Euler's distance is utilized to get rid of the judgement collection that centre-to-centre spacing Global center is farthest, and remaining judgement collection is made sub-step in step S25 (1), sub-step (2) and the intersection operation of sub-step (3), until obtaining estimated result, and terminate；If going to last layer still can not get result, perform sub-step (4)；
(4) if sub-step (3) goes to last layer, occuring simultaneously is still empty set, then utilize the error distance between current RSSI average and reference point RSSI average, according to RSSI error minimum principle, utilizes weighting k nearest neighbor algorithm to calculate estimated result；
S26: the composite space after location information and three-dimensional visualization is mapped, shows current location information in composite space.Oneself position location is shown in little map by i.e. user in real time.
Wherein, described data base needs an off-line training step:
S201: discretization area to be targeted, takes N number of position as a reference point in area to be targeted uniformly；
S202: scan WIFI signal in the reference point described in each step S201, records received signal strength indicator value RSSI of each AP interior of continuous a period of time；
S203: process the RSSI vector of gained in step 202, calculate each AP interval at RSSI average, variance and the minimax of this reference point, these parameters are saved in data base together with mark SSID of corresponding A P；
S204: all of reference point is carried out S203 and the operation of step S204, until all of reference point is all trained complete, thus sets up the RSSI distribution map that area to be targeted is complete.
Finally, need to be embodied in composite space by the motion mode of oneself in real time:
S31: multiple and virtual reality terminal association sensory package is set at person joint；
The information of S32: each sensory package sends in real time to virtual reality terminal；
S33: virtual reality terminal resolves after receiving information, and be presented in described virtual reality scenario information.
Described sensory package include 3-axis acceleration sensor, three axis angular rate sensors, three axle geomagnetic sensors one or more.
The now action of user can embody in virtual reality scenario information.
When above-mentioned all complete after, user can proceed by virtual NPC mobile.
In the present embodiment, described virtual reality terminal is virtual implementing helmet or mobile terminal.The specifically chosen cost according to businessman is considered.
If employing virtual implementing helmet, need to purchase special equipment, but better.User can put on virtual implementing helmet and carry out virtual NPC searching.And this kind of method be applicable to personnel less in the case of.
If employing mobile terminal, such as mobile phone or panel computer, then need to install corresponding software, but convenient and swift effect is poor for using the method for virtual implementing helmet.This kind of method be applicable to personnel more in the case of.
Claims (9)
1. the method that virtual reality technology is combined with cloud service technology, it is characterised in that: it includes contextual data collection and uploading step, data download step, scene mapping step, positioning step and motion mode mapping step；
Described contextual data collection includes with uploading step: the entity object of the reality that user treats virtual image in advance carries out data acquisition, has gathered and has been uploaded to Cloud Server afterwards and preserves；
Described data download step includes: corresponding contextual data is downloaded in Cloud Server by user by virtual reality terminal；
Described scene mapping step shows for the region around the virtual scene of the data downloaded and user is carried out virtual reality in virtual reality terminal, including for virtual network element and real entity object being shown among GIS-Geographic Information System and form the first scene mapping sub-step of composite space and be used for being mapped as scene around the second scene mapping step of virtual scene；
Described GIS-Geographic Information System includes that electronic three-dimensional map, the first described scene mapping sub-step include following sub-step:
S111: described network element carries out GISization, described network element is the dummy object being not present in reality；
S112: described composite space is carried out three-dimensional visualization；
S113: virtual reality terminal presents the composite space after three-dimensional visualization and dummy object position；
The second described scene mapping step includes following sub-step:
S121: by the reality scene information of reality scene sensing module capture user's surrounding enviroment；
S122: calculate processing module and extract reality scene feature from described reality scene information, based on mapping relations set in advance, it is the feature for building virtual scene by described reality scene Feature Mapping, and based on the described feature construction virtual reality scenario information for building virtual scene；
S123: virtual reality terminal presents described virtual reality scenario information；
Described positioning step includes:
S21: initialize indoor reference point, is loaded into reference point information in data base；
S22: arrange queue and filter parameter, gathers WIFI signal data to queue；
S23: utilize the data queue gathered, calculates RSSI average corresponding for each AP on current location；
S24: travel through all reference points, whether the RSSI average calculated according to step S23 is within corresponding AP is about the RSSI interval of certain reference point, it is judged that whether this reference point is concentrated in the judgement of corresponding A P；
S25: ask each AP judge collection common factor:
(1) if only one of which reference point in Jiao Jiing, this reference point coordinate is exported as the estimation of algorithm, and terminates；
(2) if more than one reference point in Jiao Jiing, then calculate RSSI error vector, according to error to the reference point sequence in occuring simultaneously, and select k the point that wherein error is minimum, to weight k nearest neighbor algorithm calculating estimated result, and terminate；
(3) if occuring simultaneously for empty set, calculate each center judging collection, and using the center at these collection centers as Global center, Euler's distance is utilized to get rid of the judgement collection that centre-to-centre spacing Global center is farthest, and remaining judgement collection is made sub-step in step S25 (1), sub-step (2) and the intersection operation of sub-step (3), until obtaining estimated result, and terminate；If going to last layer still can not get result, perform sub-step (4)；
(4) if sub-step (3) goes to last layer, occuring simultaneously is still empty set, then utilize the error distance between current RSSI average and reference point RSSI average, according to RSSI error minimum principle, utilizes weighting k nearest neighbor algorithm to calculate estimated result；
S26: the composite space after location information and three-dimensional visualization is mapped, shows current location information in composite space；
Described motion mode positioning step includes following sub-step:
S31: multiple and virtual reality terminal association sensory package is set at person joint；
The information of S32: each sensory package sends in real time to virtual reality terminal；
S33: virtual reality terminal resolves after receiving information, and be presented in described virtual reality scenario information.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: described virtual reality terminal is virtual implementing helmet or mobile terminal.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: described positioning step also includes an off-line training step:
S201: discretization area to be targeted, takes N number of position as a reference point in area to be targeted uniformly；
S202: scan WIFI signal in the reference point described in each step S201, records received signal strength indicator value RSSI of each AP interior of continuous a period of time；
S203: process the RSSI vector of gained in step 202, calculate each AP interval at RSSI average, variance and the minimax of this reference point, these parameters are saved in data base together with mark SSID of corresponding A P；
S204: all of reference point is carried out S203 and the operation of step S204, until all of reference point is all trained complete, thus sets up the RSSI distribution map that area to be targeted is complete.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: the described composite space after three-dimensional visualization is the 3-D view of building.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: described virtual reality terminal presents the visual angle adjustable of the composite space after three-dimensional visualization.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: the time series frame data that reality scene information is capture user's surrounding enviroment image of the capture user's surrounding enviroment described in step S121；Described calculating processing module extracts reality scene feature from described reality scene information and described time series frame data is carried out pattern recognition analysis, to extract reality scene feature.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: described reality scene sensing module includes: depth camera sensor, depth camera sensor and one or more the combination in the binding entity of RGB image sensor, ultrasonic locating sensing module, thermal imaging orientation sensing module and electromagnetic location sensing module.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterised in that: described sensory package include 3-axis acceleration sensor, three axis angular rate sensors, three axle geomagnetic sensors one or more.
A kind of method that virtual reality technology is combined with cloud service technology the most according to claim 1, it is characterized in that: when in Cloud Server, the data of certain scene are updated, to downloading the virtual reality terminal PUSH message of this scene, described virtual reality terminal is reminded to be updated.
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