CN110216681A - A kind of intelligent robot analysis and Control system based on big data - Google Patents
A kind of intelligent robot analysis and Control system based on big data Download PDFInfo
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- CN110216681A CN110216681A CN201910667479.7A CN201910667479A CN110216681A CN 110216681 A CN110216681 A CN 110216681A CN 201910667479 A CN201910667479 A CN 201910667479A CN 110216681 A CN110216681 A CN 110216681A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1694—Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
Abstract
The intelligent robot analysis and Control system based on big data that the invention discloses a kind of, including data acquisition module, signal transit module, controller, action executing module, database, image capture module, analysis and processing module, touch sensing module and search update module；Data acquisition module for acquiring the human body sensing information and phonetic feature information of user in real time, and transmit it to signal transit module, and human body sensing information includes head movement data, hand mobile data and foot's mobile data, and phonetic feature information includes pitch data, loudness of a sound data, duration of a sound data and tamber data；User can be associated to the different touch points that the intelligent robot is liked with the movement of different priorities and musical combinations by the present invention, and come constantly to carry out adaptive updates to its content according to digitization analysis, and then improve the intelligence degree of the intelligent robot, and the laminating degree with user preferences.
Description
Technical field
The present invention relates to intelligent robot technology field, specially a kind of intelligent robot analysis and Control based on big data
System.
Background technique
Intelligent robot is typically provided with different types of internal information sensor and external information sensor, such as regards
The receptors such as feel, the sense of hearing, tactile or smell and effector, so that the positions such as its hand, foot, head, neck and joint move, thus intelligence
Robot, which will at least have, feels element, reaction element and thinking element.
It is only according to cloud speech recognition and cloud data processing mould and in the file of Publication No. CN104882143A
Formula effectively tentatively realizes the purpose of man-machine non-intrusive interaction, and is that user's answer is felt uncertain using the huge resource in internet
With enlarge one's knowledge, and by the end product common feedback of substantial amounts, the data bank of Lai Zengqiang Cloud Server makes it more
It is intelligent；And for it is combined with the existing intelligent robot analysis and Control system based on big data, be still difficult to according to
According to the mode that gesture, voice and image combine, accurately the favorite movement of user and music are judged, and it is collected
The distribution combination of rank is closed, to improve the reasonability of the two collocation and the satisfaction of user；And it is difficult to user to the intelligence
The different touch points of energy robot hobby are associated with the movement of different priorities and musical combinations, and come according to digitization analysis
Adaptive updates constantly are carried out to its content, and then improve the intelligence degree of the intelligent robot, and and user preferences
Laminating degree.
In order to solve drawbacks described above, a kind of technical solution is now provided.
Summary of the invention
The intelligent robot analysis and Control system based on big data that the purpose of the present invention is to provide a kind of, the present invention is pair
Human body sensing information carries out prioritization processing, and carries out human bioequivalence to phonetic feature information, and after being judged as me,
It then transfers all kinds of music tracks to carry out shuffle by the intelligent robot from database, and transfers phase from database
Corresponding turning action class posture, walking motion class posture, dance movement class posture and jump action class posture are come by the intelligence
The execution of robot progress different priorities；
The broadcasting execution information of the intelligent robot is recorded simultaneously, and the dynamic image data of user is demarcated,
Assignment and distribution weightization analysis, to obtain liking signal and flat signal, when getting flat signal, then without any
The transmission of information simultaneously replaces each movement class posture and all kinds of music tracks at random, when get like signal when, then broadcasting is held
Row information is demarcated, gathers rankization processing, to obtain the first signal priority, the second signal priority, third priority
Signal and the 4th signal priority transmit the favorite each movement class posture of user and the combination of all kinds of music tracks,
And it random replacement is carried out to the combination of the not favorite each movement class posture of user and all kinds of music tracks configures, and will tell
The favorite each movement class posture of user and all kinds of music tracks, to carry out the distribution combination of set rank together, to improve two
The reasonability of person's collocation and the satisfaction of user；
The present invention be touch sensible information of the user to the intelligent robot is demarcated, compartmentalization processing, to obtain
First level domain, second level domain, third level domain and fourth level domain, while by the first signal priority, the second priority
Signal, third priority signal and the 4th signal priority are combined with the configuration of corresponding level domain, and at each position of record
When music and excessive movement switching total degree, to re-search for updating the music and the relevant content of denomination of dive at the position, and
While feeding back by search result, be directed into the position, also music original in the position and movement are deleted, i.e., it will be different excellent
The movement of first grade and the combination of music combine the different touch points that the intelligent robot is liked with user, and according to continuous
Content update improves the intelligence degree of the intelligent robot, and the laminating degree with user preferences.
The technical problems to be solved by the invention are as follows:
(1) mode how to be combined according to gesture, voice and image, accurately to judge the favorite movement of user with
Music, and the distribution combination of set rank is carried out to it；
(2) movement and music group of the different touch points and different priorities how to like the intelligent robot user
Conjunction is associated, and comes constantly to carry out adaptive updates to its content according to digitization analysis.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of intelligent robot analysis and Control system based on big data, including data acquisition module, signal transit module,
Controller, action executing module, database, image capture module, analysis and processing module, touch sensing module and search update mould
Block；
The data acquisition module in real time acquire user human body sensing information and phonetic feature information, and by its
It is transmitted to signal transit module, and human body sensing information includes head movement data, hand mobile data and foot's mobile data,
And measured by usual ways such as range sensor or laser sensors, and phonetic feature information include pitch data, loudness of a sound data,
Duration of a sound data and tamber data, and different sounding personnel belong to different sounding bodies, the sound that each sounding body issues pitch,
It is all different in loudness of a sound, the duration of a sound and tone color；
The signal transit module starts to carry out after receiving real-time human body sensing information and phonetic feature information
Signal generates operation, obtains the turning action signal, walking motion signal and dance movement signal of different priorities, and conducting
Play signal interrupts play signal, and via controller is transmitted to action executing module together；
The action executing module receive interrupt play signal in real time when, then interrupt the reception of data or signal with
Transmission；The action executing module then transfers all kinds of musics when receiving conducting play signal in real time from database
Mesh to carry out shuffle by the intelligent robot, and all kinds of music tracks include quiet class music track, class music of expressing one's emotion
Mesh, sentimental class music track and happy class music track etc.；
The action executing module is receiving real-time turning action signal, walking motion signal and dance movement signal
When, then corresponding turning action class posture, walking motion class posture and dance movement class posture cause are transferred from database
The execution of intelligent robot progress different priorities；And preparatory typing has each movement class posture and all kinds of musics in database
Mesh；
The action executing module is also used to record the broadcasting execution information of the intelligent robot in real time, and plays and execute
Information includes the cooperation duration data of each movement class posture and all kinds of music tracks, respectively acts the frequency of occurrence of class posture and all kinds of
The frequency of occurrence of music track；The action executing module is also used to extract dynamic image data from image capture module, and
Image capture module for acquiring the dynamic image data of user in real time, and dynamic image data include sound decibel number according to,
Arm mobile data and number data are turned round, and taste analysis operation is carried out to it, and when obtaining liking signal, then movement is held
Broadcasting execution information corresponding with first time period is transmitted to analysis and processing module by row module, and is obtaining flat signal
When, then replace each movement class posture and all kinds of music tracks without the transmission of any information and at random, i.e., it is user is favorite
Each movement class posture and the combination of all kinds of music tracks are transmitted, and to the not favorite each movement class posture of user and each assonance
The combination of melody purpose carries out random replacement configuration；
The analysis and processing module be used for the broadcasting execution information corresponding with first time period that arrives real-time reception into
Row combination batch operation, and the first obtained signal priority, the second signal priority, third priority signal and the 4th is excellent
First grade signal is transmitted to touch sensing module together；
The touch sensing module for acquiring user to the touch sensible information of the intelligent robot in real time, and the intelligence
Can robot when touching its different parts, the broadcasting and not of different music can be carried out by the touch sensible component in each position
With the instruction of movement, and music and movement can be switched over, and touch sensible information includes touching number and touching interval
Duration, and classification processing operation is carried out to it, to obtain first level domain, second level domain, third level domain and fourth level
Domain；
The first signal priority that the touch sensing module is also used to arrive real-time reception, the second signal priority,
Three signal priorities and the 4th signal priority are combined with the configuration of corresponding level domain, and record each position in the third period
Music and movement switching total degree, and the third period is expressed as 20 minutes time, and music and movement at each position
Switch total degree be greater than preset value when, then the music at the position and denomination of dive are transmitted to search update module, on the contrary not into
The transmission of any information of row；
Described search update module is used to scan for according to the music and denomination of dive at the position, and search result is anti-
While being fed to touch sensing module, and feedback result is imported the position, also music original in the position and movement are deleted
It removes, i.e., mutually ties the movement of different priorities and the combination of music to the different touch points that the intelligent robot is liked from user
It closes, and improves according to continuous content update the intelligence degree of the intelligent robot, and be bonded journey with user preferences
Degree.
Further, specific step is as follows for the signal generation operation:
Step 1: getting real-time human body sensing information, and by head movement data therein, hand mobile data and
Foot's mobile data is demarcated as A, B and C respectively, and to the difference of A, B and C and respective preset value in the same period by greatly to
It is small to be arranged successively, and accordingly generate turning action signal corresponding with A, the walking motion corresponding with B of different priorities
Signal and dance movement signal corresponding with C；
Step 2: getting real-time phonetic feature information, and by pitch data therein, loudness of a sound data, duration of a sound data
It is demarcated as a, b, c and d respectively with tamber data, and to a, b, c and d in the same period compared with respective preset range
Compared with, and when it is respectively positioned in respective preset range, generate conducting play signal, and in other cases when, generate and interrupt
Play signal；And the same period is expressed as any ten seconds time, and respective preset value, respective preset range are
Preparatory typing.
Further, specific step is as follows for the taste analysis operation:
Step 1: the dynamic image data in first time period is first got, then according to sound decibel number therein according to change
Change total amount to demarcate accoustic coefficient Qa, and sound decibel number is maximum acoustic decibel data and minimum sound point according to variation total amount
The difference of shellfish data, and the first variation grade, the second variation grade and third variation three class of grade are classified as, and by above three shelves
Secondary accoustic coefficient Qa successively assignment Q1, Q2 and Q3, and Q1 is greater than Q2 and is greater than Q3；
Step 2: first getting the dynamic image data in first time period, then total according to arm mobile data therein
Amount is classified as first total magnitude, second total magnitude and third three class of total magnitude, and will be upper to demarcate transport coefficient Wb
The transport coefficient Wb of three class successively assignment W1, W2 and W3 is stated, and W1 is greater than W2 and is greater than W3；
Step 3: first getting the dynamic image data in first time period, then to turn round number data total according to therein
Amount turns round coefficient Ec to demarcate, and is classified as three the first component grade, second component grade and third component grade class, and will be upper
That states three class turns round coefficient Ec successively assignment E1, E2 and E3, and E1 is greater than E2 and is greater than E3；
Step 4: it first by accoustic coefficient Qa, transport coefficient Wb and turns round coefficient Ec and is sequentially allocated weighted value q, w and e, q is big
It is greater than e and q+w+e=1, then foundation formula R=Qa*q+Wb*w+Ec*e in w to acquire the preference system in first time period
Number, and when preference coefficients R is greater than preset value r, signal is liked in generation, otherwise generates flat signal；And first time period
It is expressed as the halfhour time；
And first variation grade, second variation grade and third variation grade correspond to 70 decibels or more, 30 decibels to 70 points respectively
Shellfish and including 30 decibels and 70 decibels, 30 decibels or less；And the first total magnitude, second total magnitude and third total amount grade respectively correspond
10 meters or more, 4 meters to 10 meters and including 4 meters and 10 meters, 4 meters or less；And the first component grade, second component grade and third component
Grade corresponds to 20 times or more, 10 times to 20 times and including 10 times and 20 times, 10 times or less respectively.
Further, specific step is as follows for the combination batch operation:
Step 1: getting broadcasting execution information corresponding with first time period, and respectively by each movement class therein
The cooperation duration data scaling of posture and all kinds of music tracks is Tsj, s=1...3, and j=1...m, respectively movement class posture go out
Occurrence number is demarcated as Us, s=1...3 and it is dynamic according to turning action class posture mentioned above, walking motion class posture and dancing
Make class posture, i.e. s only takes 1 to 3 and T1j and U1 when as s=1 are expressed as first kind action and all kinds of musics
Purpose cooperates the frequency of occurrence of duration data and first kind action, and the frequency of occurrence of all kinds of music tracks is demarcated as Pj, j=
1...m, Us and Pj and Tsj one-to-one correspondence, and the Ts1 and P1 when as j=1 are expressed as each movement class posture and first
The frequency of occurrence of class music purpose cooperation duration data and first kind music track；
Step 2: Us is compared with preset value u and p respectively with Pj, will be corresponding with Us each dynamic when Us is greater than u
Make class posture and be placed in X set, when Us is less than or equal to u, each movement class posture corresponding with Us is placed in Y set；When Pj is big
When p, all kinds of music tracks corresponding with Pj are placed in X set, it, will be corresponding with Pj all kinds of when Pj is less than or equal to p
Music track is placed in Z set；
Step 3: first by X gather in each movement class posture successively combined with all kinds of music tracks, and meet its institute it is right
It is when the Tsj answered is greater than preset value t, then on the contrary by second priority of combination producing by first signal priority of combination producing
Signal；Again by X gather in each movement class posture and Z set in all kinds of music tracks successively combine, and X gathered
All kinds of music tracks and Y gather in each movement class posture successively combine, and be greater than preset value t meeting the Tsj corresponding to it
When, then by second signal priority of combination producing, otherwise the composition is generated into third priority signal；During finally Y is gathered
Each movement class posture and Z set in all kinds of music tracks successively combine, and be greater than preset value meeting the Tsj corresponding to it
When t, then by the combination producing third priority signal, otherwise by the 4th signal priority of combination producing, that is, use is being told
After the favorite each movement class posture in family and all kinds of music tracks, then the distribution combination of set rank is carried out to it, to improve two
The reasonability of person's collocation and the satisfaction of user.
Further, specific step is as follows for the classification processing operation:
Step 1: the touch sensible information in second time period is first got, then each position therein is touched into number mark
It is set to Gi, i=1...n, and the average touch interval duration at each position is demarcated as Hi, i=1...n, and Gi and Hi are one by one
It is corresponding；
Step 2: first comparing Gi with preset value g, will each portion position corresponding with Gi when Gi is greater than preset value g
B area is placed in a-quadrant, otherwise by each position corresponding with Gi；Hi is compared with preset range h again, when Hi is greater than in advance
It, will be with when Hi is located within preset range h if when the maximum value of range h, each position corresponding with Hi is placed in the region C
The corresponding each position Hi is placed in the region D, will each portion position corresponding with Hi when Hi is less than the minimum value of preset range h
In the region E；
Step 3: first comparing each position of each position in the region C, the region D and the region E in a-quadrant, and by its
In consistent position sequentially generate first level domain, second level domain and third level domain；Again by B area each position and C
Each position in region, the region D and the region E compares, and consistent position therein is sequentially generated second level domain, the third level
Other domain and fourth level domain, and second time period is expressed as the time of a hour.
Beneficial effects of the present invention:
1. the present invention is by data acquisition module by the human body sensing information and phonetic feature information of the user acquired in real time
It is transmitted to signal transit module, and basis signal transit module generates operation to carry out signal to it, to obtain different priorities
Turning action signal, walking motion signal and dance movement signal, and conducting play signal or interrupt play signal, and one
Action executing module is transmitted to via controller；
Action executing module then interrupts the reception and biography of data or signal when receiving interruption play signal in real time
It is defeated；Action executing module then transfers all kinds of music track causes when receiving conducting play signal in real time from database
The intelligent robot carries out shuffle；Action executing module is receiving real-time turning action signal, walking motion signal
When with dance movement signal, then corresponding turning action class posture, walking motion class posture and dancing are transferred from database
Movement class posture to be carried out the execution of different priorities by the intelligent robot；
And action executing module also records the broadcasting execution information of the intelligent robot in real time, and action executing module is also
Extract dynamic image data from image capture module, and taste analysis operation carried out to it, to obtain being demarcated, assignment and point
Signal and flat signal relatively are liked to generate compared with preset value r with the preference coefficients R after weight, and by it；And it acts
Execution module get like signal when, then by broadcasting execution information corresponding with first time period be transmitted to analysis processing
Module, and action executing module is when getting flat signal then replaces each movement without the transmission of any information and at random
Class posture and all kinds of music tracks, i.e., transmit the favorite each movement class posture of user and the combination of all kinds of music tracks,
And random replacement is carried out to the combination of the not favorite each movement class posture of user and all kinds of music tracks and is configured；
Analysis and processing module then by real-time reception to broadcasting execution information corresponding with first time period be combined
Batch operation, it is preferential to obtain the first signal priority demarcated, gather rankization processing, the second signal priority, third
Grade signal and the 4th signal priority, and then after telling the favorite each movement class posture of user and all kinds of music tracks, then
The distribution combination of set rank is carried out, to it to improve the reasonability of the two collocation and the satisfaction of user；
2. the present invention is the touch sensible information by touch sensing module by the user acquired in real time to the intelligent robot
Classification processing operation is carried out, to obtain being demarcated, the first level domain of compartmentalization, second level domain, third level domain and the 4th
Level domain, while by the first signal priority, the second signal priority, third priority signal and the 4th signal priority and phase
The level domain configuration combination answered, and when the music at each position of record and movement switching total degree are greater than preset value, then should
The music and denomination of dive at position are transmitted to search update module；Search for music and movement name of the update module then according to the position
Title scans for, and search result is fed back to touch sensing module, and while feedback result is imported the position, should also
Original music and movement are deleted in position, i.e., by the movement of different priorities and the combination of music and user to the intelligence machine
The different touch points of people's hobby combine, and the intelligence degree of the intelligent robot is improved according to continuous content update,
And the laminating degree with user preferences.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention；
Specific embodiment
As shown in Figure 1, a kind of intelligent robot analysis and Control system based on big data, including data acquisition module, letter
Number transit module, controller, action executing module, database, image capture module, analysis and processing module, touch sensing module
With search update module；
Data acquisition module is transmitted for acquiring the human body sensing information and phonetic feature information of user in real time
To signal transit module, and human body sensing information includes head movement data, hand mobile data and foot's mobile data, and by
The usual ways such as range sensor or laser sensor measure, and phonetic feature information includes pitch data, loudness of a sound data, the duration of a sound
Data and tamber data, and different sounding personnel belong to different sounding bodies, the sound that each sounding body issues is in pitch, sound
By force, it is all different in the duration of a sound and tone color；
Signal transit module starts to carry out signal after receiving real-time human body sensing information and phonetic feature information
Operation is generated, the turning action signal, walking motion signal and dance movement signal of different priorities are obtained, and conducting plays
Signal interrupts play signal, and via controller is transmitted to action executing module together；
Action executing module then interrupts the reception and biography of data or signal when receiving interruption play signal in real time
It is defeated；Action executing module then transfers all kinds of music track causes when receiving conducting play signal in real time from database
The intelligent robot carries out shuffle, and all kinds of music tracks include quiet class music track, express one's emotion class music track, sentiment
Class music track and happy class music track etc.；
Action executing module when receiving real-time turning action signal, walking motion signal and dance movement signal,
Corresponding turning action class posture, walking motion class posture and dance movement class posture is then transferred from database to come by the intelligence
Energy robot carries out the execution of different priorities；And preparatory typing has each movement class posture and all kinds of music tracks in database；
Action executing module is also used to record the broadcasting execution information of the intelligent robot in real time, and plays execution information
The frequency of occurrence and all kinds of music of cooperation duration data, each movement class posture including each movement class posture and all kinds of music tracks
The frequency of occurrence of song；Action executing module is also used to extract dynamic image data from image capture module, and Image Acquisition
Module for acquiring the dynamic image data of user in real time, and dynamic image data includes sound decibel number evidence, arm movement
Data and number data are turned round, and taste analysis operation is carried out to it, and when obtaining liking signal, then action executing module will
Broadcasting execution information corresponding with first time period is transmitted to analysis and processing module, and when obtaining flat signal, then not into
The transmission of any information of row simultaneously replaces each movement class posture and all kinds of music tracks at random, i.e., by the favorite each movement class appearance of user
The combination of gesture and all kinds of music tracks is transmitted, and to the group of user's not favorite each movement class posture and all kinds of music tracks
It closes and carries out random replacement configuration；
Analysis and processing module be used for by real-time reception to broadcasting execution information corresponding with first time period carry out group
Batch operation is closed, and by the first obtained signal priority, the second signal priority, third priority signal and the 4th priority
Signal is transmitted to touch sensing module together；
Touch sensing module for acquiring user to the touch sensible information of the intelligent robot in real time, and the intelligent machine
Device people can be moved when touching its different parts by the touch sensible component in each position come the broadcasting for carrying out different music and difference
The instruction of work, and music and movement can be switched over, and touch sensible information includes touching number and touching to be spaced duration,
And classification processing operation is carried out to it, to obtain first level domain, second level domain, third level domain and fourth level domain；
The first signal priority that touch sensing module is also used to arrive real-time reception, the second signal priority, third are excellent
First grade signal and the 4th signal priority are combined with the configuration of corresponding level domain, and record the music at each position in the third period
Switch total degree with movement, and the third period is expressed as 20 minutes time, and in the music at each position and movement switching
When total degree is greater than preset value, then the music at the position and denomination of dive are transmitted to search update module, otherwise without appointing
The transmission of what information；
Search update module is used to scan for according to the music and denomination of dive at the position, and search result is fed back to
Touch sensing module, and while feedback result is imported the position, also music original in the position and movement are deleted, i.e.,
The movement of different priorities and the combination of music combine the different touch points that the intelligent robot is liked with user, and according to
The intelligence degree of the intelligent robot, and the laminating degree with user preferences are improved according to continuous content update.
And specific step is as follows for signal generation operation:
Step 1: getting real-time human body sensing information, and by head movement data therein, hand mobile data and
Foot's mobile data is demarcated as A, B and C respectively, and to the difference of A, B and C and respective preset value in the same period by greatly to
It is small to be arranged successively, and accordingly generate turning action signal corresponding with A, the walking motion corresponding with B of different priorities
Signal and dance movement signal corresponding with C；
Step 2: getting real-time phonetic feature information, and by pitch data therein, loudness of a sound data, duration of a sound data
It is demarcated as a, b, c and d respectively with tamber data, and to a, b, c and d in the same period compared with respective preset range
Compared with, and when it is respectively positioned in respective preset range, generate conducting play signal, and in other cases when, generate and interrupt
Play signal；And the same period is expressed as any ten seconds time, and respective preset value, respective preset range are
Preparatory typing.
And specific step is as follows for taste analysis operation:
Step 1: the dynamic image data in first time period is first got, then according to sound decibel number therein according to change
Change total amount to demarcate accoustic coefficient Qa, and sound decibel number is maximum acoustic decibel data and minimum sound point according to variation total amount
The difference of shellfish data, and the first variation grade, the second variation grade and third variation three class of grade are classified as, and by above three shelves
Secondary accoustic coefficient Qa successively assignment Q1, Q2 and Q3, and Q1 is greater than Q2 and is greater than Q3；
Step 2: first getting the dynamic image data in first time period, then total according to arm mobile data therein
Amount is classified as first total magnitude, second total magnitude and third three class of total magnitude, and will be upper to demarcate transport coefficient Wb
The transport coefficient Wb of three class successively assignment W1, W2 and W3 is stated, and W1 is greater than W2 and is greater than W3；
Step 3: first getting the dynamic image data in first time period, then to turn round number data total according to therein
Amount turns round coefficient Ec to demarcate, and is classified as three the first component grade, second component grade and third component grade class, and will be upper
That states three class turns round coefficient Ec successively assignment E1, E2 and E3, and E1 is greater than E2 and is greater than E3；
Step 4: it first by accoustic coefficient Qa, transport coefficient Wb and turns round coefficient Ec and is sequentially allocated weighted value q, w and e, q is big
It is greater than e and q+w+e=1, then foundation formula R=Qa*q+Wb*w+Ec*e in w to acquire the preference system in first time period
Number, and when preference coefficients R is greater than preset value r, signal is liked in generation, otherwise generates flat signal；And first time period
It is expressed as the halfhour time；
And first variation grade, second variation grade and third variation grade correspond to 70 decibels or more, 30 decibels to 70 points respectively
Shellfish and including 30 decibels and 70 decibels, 30 decibels or less；And the first total magnitude, second total magnitude and third total amount grade respectively correspond
10 meters or more, 4 meters to 10 meters and including 4 meters and 10 meters, 4 meters or less；And the first component grade, second component grade and third component
Grade corresponds to 20 times or more, 10 times to 20 times and including 10 times and 20 times, 10 times or less respectively.
And specific step is as follows for combination batch operation:
Step 1: getting broadcasting execution information corresponding with first time period, and respectively by each movement class therein
The cooperation duration data scaling of posture and all kinds of music tracks is Tsj, s=1...3, and j=1...m, respectively movement class posture go out
Occurrence number is demarcated as Us, s=1...3 and it is dynamic according to turning action class posture mentioned above, walking motion class posture, dancing
Make class posture and jump action class posture, i.e. s only takes 1 to 3 and T1j and U1 when as s=1 are expressed as first kind movement
Posture and the cooperation duration data of all kinds of music tracks and the frequency of occurrence of first kind action, the appearance of all kinds of music tracks
Number is demarcated as Pj, j=1...m, and Us and Pj and Tsj is corresponded, and the Ts1 and P1 when as j=1 are expressed as respectively
Act class posture and the cooperation duration data of first kind music track and the frequency of occurrence of first kind music track；
Step 2: Us is compared with preset value u and p respectively with Pj, will be corresponding with Us each dynamic when Us is greater than u
Make class posture and be placed in X set, when Us is less than or equal to u, each movement class posture corresponding with Us is placed in Y set；When Pj is big
When p, all kinds of music tracks corresponding with Pj are placed in X set, it, will be corresponding with Pj all kinds of when Pj is less than or equal to p
Music track is placed in Z set；
Step 3: first by X gather in each movement class posture successively combined with all kinds of music tracks, and meet its institute it is right
It is when the Tsj answered is greater than preset value t, then on the contrary by second priority of combination producing by first signal priority of combination producing
Signal；Again by X gather in each movement class posture and Z set in all kinds of music tracks successively combine, and X gathered
All kinds of music tracks and Y gather in each movement class posture successively combine, and be greater than preset value t meeting the Tsj corresponding to it
When, then by second signal priority of combination producing, otherwise the composition is generated into third priority signal；During finally Y is gathered
Each movement class posture and Z set in all kinds of music tracks successively combine, and be greater than preset value meeting the Tsj corresponding to it
When t, then by the combination producing third priority signal, otherwise by the 4th signal priority of combination producing, that is, use is being told
After the favorite each movement class posture in family and all kinds of music tracks, then the distribution combination of set rank is carried out to it, to improve two
The reasonability of person's collocation and the satisfaction of user.
And specific step is as follows for classification processing operation:
Step 1: the touch sensible information in second time period is first got, then each position therein is touched into number mark
It is set to Gi, i=1...n, and the average touch interval duration at each position is demarcated as Hi, i=1...n, and Gi and Hi are one by one
It is corresponding；
Step 2: first comparing Gi with preset value g, will each portion position corresponding with Gi when Gi is greater than preset value g
B area is placed in a-quadrant, otherwise by each position corresponding with Gi；Hi is compared with preset range h again, when Hi is greater than in advance
It, will be with when Hi is located within preset range h if when the maximum value of range h, each position corresponding with Hi is placed in the region C
The corresponding each position Hi is placed in the region D, will each portion position corresponding with Hi when Hi is less than the minimum value of preset range h
In the region E；
Step 3: first comparing each position of each position in the region C, the region D and the region E in a-quadrant, and by its
In consistent position sequentially generate first level domain, second level domain and third level domain；Again by B area each position and C
Each position in region, the region D and the region E compares, and consistent position therein is sequentially generated second level domain, the third level
Other domain and fourth level domain, and second time period is expressed as the time of a hour.
A kind of intelligent robot analysis and Control system based on big data, during the work time, first by data acquisition module
The human body sensing information of the user acquired in real time and phonetic feature information are transmitted to signal transit module, signal transit module is then
It carries out signal to it and generates operation, i.e., it is head movement data, hand mobile data and the foot in human body sensing information is mobile
Data are demarcated as A, B and C respectively, then successively arrange the difference of A, B and C and respective preset value in the same period is descending
Column, and accordingly generate turning action signal corresponding with A, walking motion signal corresponding with B and and the C of different priorities
Corresponding dance movement signal, and by pitch data, loudness of a sound data, duration of a sound data and the tamber data in phonetic feature information
It is demarcated as a, b, c and d respectively, then to a, b, c and d in the same period compared with respective preset range, and equal at it
When in respective preset range, generate conducting play signal, and in other cases when, generate interrupt play signal, and
By above-mentioned various types of signal, via controller is transmitted to action executing module together；
Action executing module then interrupts the reception and biography of data or signal when receiving interruption play signal in real time
It is defeated；Action executing module then transfers all kinds of music track causes when receiving conducting play signal in real time from database
The intelligent robot carries out shuffle；Action executing module is receiving real-time turning action signal, walking motion signal
When with dance movement signal, then corresponding turning action class posture, walking motion class posture and dancing are transferred from database
Movement class posture to be carried out the execution of different priorities by the intelligent robot；
And action executing module also records the broadcasting execution information of the intelligent robot in real time, and action executing module is also
It extracts dynamic image data from image capture module, and taste analysis operation is carried out to it, i.e., it will be in dynamic image data
Sound decibel number according to variation total amount, arm mobile data total amount and turn round number total amount of data be successively demarcated as accoustic coefficient Qa,
Transport coefficient Wb and coefficient Ec is turned round, then distinguish three class and assignment, distribution weight, last foundation formula R=Qa*q+
Wb*w+Ec*e acquires the preference coefficient in first time period, and when preference coefficients R is greater than preset value r, generates
Like signal, otherwise generates flat signal；And action executing module get like signal when, then will be with first time period phase
Corresponding broadcasting execution information is transmitted to analysis and processing module, and action executing module is when getting flat signal, then not into
The transmission of any information of row simultaneously replaces each movement class posture and all kinds of music tracks at random, i.e., by the favorite each movement class appearance of user
The combination of gesture and all kinds of music tracks is transmitted, and to the group of user's not favorite each movement class posture and all kinds of music tracks
It closes and carries out random replacement configuration；
Analysis and processing module by real-time reception to broadcasting execution information corresponding with first time period be combined point
With operation, i.e. matching each movement class posture and all kinds of music tracks in broadcasting execution information corresponding with first time period
Close duration data, the frequency of occurrence of each movement class posture and all kinds of music tracks frequency of occurrence be successively demarcated as Tsj, Us and
Pj, and when Us is greater than u, each movement class posture corresponding with Us is placed in X set, and when Us is less than or equal to u, it will be with Us
Corresponding each movement class posture is placed in Y set, and when Pj is greater than p, all kinds of music tracks corresponding with Pj are placed in X collection
It closes, and when Pj is less than or equal to p, all kinds of music tracks corresponding with Pj are placed in Z set；Again by X gather in each movement
Class posture is successively combined with all kinds of music tracks, when meeting the Tsj corresponding to it greater than preset value t, then by the combination producing
First signal priority, otherwise by second signal priority of combination producing, then by X gather in each movement class posture and Z collection
All kinds of music tracks in conjunction successively combine, and by X gather in all kinds of music tracks and Y set in each movement class posture
Successively combine, when meeting the Tsj corresponding to it greater than preset value t, then by second signal priority of combination producing, on the contrary it will
The composition generate third priority signal, then by Y gather in each movement class posture and Z set in all kinds of music tracks successively
Combination, it is when meeting the Tsj corresponding to it greater than preset value t, then on the contrary by the group by the combination producing third priority signal
Symphysis is at the 4th signal priority, and then after telling the favorite each movement class posture of user and all kinds of music tracks, then it is right
Its distribution combination for carrying out set rank, to improve the reasonability of the two collocation and the satisfaction of user；And it will obtain
First signal priority, the second signal priority, third priority signal and the 4th signal priority are transmitted to touching sense together
Answer module；
Touch sensible information of the user acquired in real time to the intelligent robot is carried out classification processing by touch sensing module
The average touch interval duration that each position in touch sensible information touches number and each position is successively demarcated as Gi by operation
And Hi, and when Gi is greater than preset value g, each position corresponding with Gi is placed in a-quadrant, on the contrary it will each portion corresponding with Gi
Each position corresponding with Hi is placed in the region C in B area, and when Hi is greater than the maximum value of preset range h by position, and
When Hi is located within preset range h, each position corresponding with Hi is placed in the region D, and is less than the minimum of preset range h in Hi
When value, each position corresponding with Hi is placed in the region E, and will be in each position and the region C, the region D and the region E in a-quadrant
Consistent position sequentially generate first level domain, second level domain and third level domain, and by B area each position and C
Consistent position in region, the region D and the region E sequentially generates second level domain, third level domain and fourth level domain, simultaneously will
First signal priority, the second signal priority, third priority signal and the 4th signal priority are matched with corresponding level domain
Set combination；
And when the music at each position of record and movement switching total degree are greater than preset value, then by the music at the position and
Denomination of dive is transmitted to search update module；Music and denomination of dive of the update module then according to the position is searched for scan for,
And search result is fed back into touch sensing module, and while feedback result is imported the position, it will also be original in the position
Music and movement delete, i.e., the movement of different priorities and the combination of music and user like not the intelligent robot
It is combined with touch point, and improves the intelligence degree of the intelligent robot, and and user according to continuous content update
The laminating degree of hobby.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (6)
1. a kind of intelligent robot analysis and Control system based on big data, which is characterized in that including data acquisition module, signal
Transit module, controller, action executing module, database, image capture module, analysis and processing module, touch sensing module and
Search for update module；
The data acquisition module is transmitted for acquiring the human body sensing information and phonetic feature information of user in real time
To signal transit module, and human body sensing information includes head movement data, hand mobile data and foot's mobile data, and language
Sound element information includes pitch data, loudness of a sound data, duration of a sound data and tamber data；
The signal transit module starts to carry out signal after receiving real-time human body sensing information and phonetic feature information
Operation is generated, the turning action signal, walking motion signal and dance movement signal of different priorities are obtained, and conducting plays
Signal interrupts play signal, and via controller is transmitted to action executing module together；
The action executing module then interrupts the reception and biography of data or signal when receiving interruption play signal in real time
It is defeated；The action executing module then transfers all kinds of music tracks when receiving conducting play signal in real time from database
To carry out shuffle by the intelligent robot；
The action executing module when receiving real-time turning action signal, walking motion signal and dance movement signal,
Corresponding turning action class posture, walking motion class posture and dance movement class posture is then transferred from database to come by the intelligence
Energy robot carries out the execution of different priorities；And preparatory typing has each movement class posture and all kinds of music tracks in database；
The action executing module is also used to record the broadcasting execution information of the intelligent robot in real time, and plays execution information
The frequency of occurrence and all kinds of music of cooperation duration data, each movement class posture including each movement class posture and all kinds of music tracks
The frequency of occurrence of song；The action executing module is also used to extract dynamic image data from image capture module, and image
Acquisition module for acquiring the dynamic image data of user in real time, and dynamic image data includes sound decibel number evidence, arm
Mobile data and number data are turned round, and taste analysis operation is carried out to it, and when obtaining liking signal, then act execution mould
Broadcasting execution information corresponding with first time period is transmitted to analysis and processing module by block, and when obtaining flat signal, then
Without any information transmission and replace each movement class posture and all kinds of music tracks at random；
The analysis and processing module be used for by real-time reception to broadcasting execution information corresponding with first time period carry out group
Batch operation is closed, and by the first obtained signal priority, the second signal priority, third priority signal and the 4th priority
Signal is transmitted to touch sensing module together；
The touch sensing module for acquiring user to the touch sensible information of the intelligent robot in real time, and touch sensible
Information includes touching number and touching interval duration, and carry out classification processing operation to it, to obtain first level domain, the second level
Other domain, third level domain and fourth level domain；
The first signal priority that the touch sensing module is also used to arrive real-time reception, the second signal priority, third are excellent
First grade signal and the 4th signal priority are combined with the configuration of corresponding level domain, and record the music at each position in the third period
Switch total degree with movement, and when the music at each position and movement switching total degree are greater than preset value, then by the sound at the position
Happy denomination of dive is transmitted to search update module；
Described search update module is used to scan for according to the music and denomination of dive at the position, and search result is fed back to
Touch sensing module, and while feedback result is imported the position, also music original in the position and movement are deleted.
2. a kind of intelligent robot analysis and Control system based on big data according to claim 1, which is characterized in that institute
Stating signal generation operation, specific step is as follows:
Step 1: getting real-time human body sensing information, and by head movement data therein, hand mobile data and foot
Mobile data is demarcated as A, B and C respectively, and to the difference of A, B and C and respective preset value in the same period it is descending according to
Secondary arrangement, and accordingly generate turning action signal corresponding with A, the walking motion signal corresponding with B of different priorities
With dance movement signal corresponding with C；
Step 2: getting real-time phonetic feature information, and by pitch data therein, loudness of a sound data, duration of a sound data and sound
Chromatic number according to being demarcated as a, b, c and d respectively, and to a, b, c and d in the same period compared with respective preset range, and
When it is respectively positioned in respective preset range, generate conducting play signal, and in other cases when, generate interrupt play letter
Number.
3. a kind of intelligent robot analysis and Control system based on big data according to claim 1, which is characterized in that institute
Stating taste analysis operation, specific step is as follows:
Step 1: first getting the dynamic image data in first time period, then total according to variation according to sound decibel number therein
Amount is classified as the first variation grade, the second variation grade and third variation three class of grade, and will be upper to demarcate accoustic coefficient Qa
The accoustic coefficient Qa of three class successively assignment Q1, Q2 and Q3 is stated, and Q1 is greater than Q2 and is greater than Q3；
Step 2: the dynamic image data in first time period is first got, then is come according to arm mobile data total amount therein
Transport coefficient Wb is demarcated, and is classified as first total magnitude, second total magnitude and third three class of total magnitude, and by above-mentioned three
The transport coefficient Wb of a class successively assignment W1, W2 and W3, and W1 is greater than W2 and is greater than W3；
Step 3: the dynamic image data in first time period is first got, then turns round number total amount of data according to therein
Coefficient Ec is turned round in calibration, and is classified as three the first component grade, second component grade and third component grade class, and by above-mentioned three
A class turns round coefficient Ec successively assignment E1, E2 and E3, and E1 is greater than E2 and is greater than E3；
Step 4: it first by accoustic coefficient Qa, transport coefficient Wb and turns round coefficient Ec and is sequentially allocated weighted value q, w and e, it is big that q is greater than w
The preference coefficient in first time period is acquired in e and q+w+e=1, then according to formula R=Qa*q+Wb*w+Ec*e, and
When preference coefficients R is greater than preset value r, signal is liked in generation, otherwise generates flat signal.
4. a kind of intelligent robot analysis and Control system based on big data according to claim 3, which is characterized in that institute
State the first variation grade, second variation grade and third variation grade correspond to respectively 70 decibels or more, 30 decibels to 70 decibels and including
30 decibels and 70 decibels, 30 decibels or less；First total magnitude, second total magnitude and third total amount grade correspond to 10 meters respectively
Above, 4 meters to 10 meters and including 4 meters and 10 meters, 4 meters or less；The first component grade, second component grade and third component fraction
20 times or more, 10 times to 20 times are not corresponded to and including 10 times and 20 times, 10 times or less.
5. a kind of intelligent robot analysis and Control system based on big data according to claim 1, which is characterized in that institute
Stating combination batch operation, specific step is as follows:
Step 1: getting broadcasting execution information corresponding with first time period, and respectively by each movement class posture therein
Cooperation duration data scaling with all kinds of music tracks is Tsj, s=1...3, the occurrence out of j=1...m, each movement class posture
Number is demarcated as Us, s=1...3, all kinds of music tracks frequency of occurrence be demarcated as Pj, j=1...m, and Us and Pj and Tsj are one by one
It is corresponding；
Step 2: Us is compared with preset value u and p respectively with Pj, will each movement class corresponding with Us when Us is greater than u
Posture is placed in X set, and when Us is less than or equal to u, each movement class posture corresponding with Us is placed in Y set；When Pj is greater than p
When, all kinds of music tracks corresponding with Pj are placed in X set, it, will all kinds of music corresponding with Pj when Pj is less than or equal to p
Song is placed in Z set；
Step 3: first by X gather in each movement class posture successively combined with all kinds of music tracks, and meeting corresponding to it
It is when Tsj is greater than preset value t, then on the contrary by second signal priority of combination producing by first signal priority of combination producing；
Again by X gather in each movement class posture and Z set in all kinds of music tracks successively combine, and by X gather in it is all kinds of
Music track is successively combined with each movement class posture in Y set, and when meeting the Tsj corresponding to it greater than preset value t, then
By second signal priority of combination producing, otherwise the composition is generated into third priority signal；Finally by Y gather in it is each dynamic
Make class posture successively to combine with all kinds of music tracks in Z set, and when meeting the Tsj corresponding to it greater than preset value t, then
It is on the contrary by the 4th signal priority of combination producing by the combination producing third priority signal.
6. a kind of intelligent robot analysis and Control system based on big data according to claim 1, which is characterized in that institute
Stating classification processing operation, specific step is as follows:
Step 1: the touch sensible information in second time period is first got, then each position therein is touched into number and is demarcated as
Gi, i=1...n, and the average touch interval duration at each position is demarcated as Hi, i=1...n, and Gi and Hi is corresponded；
Step 2: first comparing Gi with preset value g, and when Gi is greater than preset value g, each position corresponding with Gi is placed in A
Region, on the contrary each position corresponding with Gi is placed in B area；Hi is compared with preset range h again, when Hi is greater than default model
When enclosing the maximum value of h, each position corresponding with Hi is placed in the region C, it, will be with Hi phase when Hi is located within preset range h
Corresponding each position is placed in the region D, and when Hi is less than the minimum value of preset range h, each position corresponding with Hi is placed in the area E
Domain；
Step 3: first each position of each position in the region C, the region D and the region E in a-quadrant is compared, and will be therein
Consistent position sequentially generates first level domain, second level domain and third level domain；Again by B area each position and the region C,
The region D compares with each position in the region E, and consistent position therein is sequentially generated second level domain, third level domain
With fourth level domain.
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