CN113625662A - Rhythm dynamic control system for data acquisition and transmission of beverage shaking robot - Google Patents
Rhythm dynamic control system for data acquisition and transmission of beverage shaking robot Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/414—Structure of the control system, e.g. common controller or multiprocessor systems, interface to servo, programmable interface controller
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
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- G—PHYSICS
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Abstract
The invention provides a rhythm dynamic control system for data acquisition and transmission of a beverage shaking robot, which comprises: the acquisition module is used for acquiring interaction information between the consumers and the beverage shaking machines bound to the corresponding shops; the analysis module is used for performing pre-analysis on the interaction information and transmitting rhythm information to the beverage shaking machine according to a pre-analysis result; and the control module is used for acquiring the instruction list according to the rhythm information and controlling the beverage shaking machine to perform dynamic motion according to the rule of the instruction list. Through the interactive information of gathering the consumer, control the beverage shaking machine according to the relevant instruction of rhythm, carry out the dynamic motion, improve consumer experience effect.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a rhythm dynamic control system for data acquisition and transmission of a beverage shaking robot.
Background
With the development of the food industry, the automatic beverage machine is gradually integrated into the life, an important and indispensable part is formed, convenience is provided for people to eat, however, the beverage machine is generally used for adding beverages into different container bins in advance for consumers to consume, the consumers are relatively boring to wait in the process of receiving the beverages, and although alarm devices are arranged on partial beverage shaking robots at present, the buzzer is generally adopted, and the purpose of reminding the consumers is only to remind the consumers whether the beverages fill the containers or not, and the good experience effect is not provided for the consumers.
Therefore, the invention provides a rhythm dynamic control system for data acquisition and transmission of a beverage shaking robot.
Disclosure of Invention
The invention provides a rhythm dynamic control system for data acquisition and transmission of a beverage shaking robot, which is used for controlling the beverage shaking robot to perform dynamic motion according to rhythm related instructions by acquiring interactive information of a consumer, so that the experience effect of the consumer is improved.
The invention provides a rhythm dynamic control system for data acquisition and transmission of a beverage shaking robot, which comprises:
the acquisition module is used for acquiring interaction information between a consumer and the beverage shaking robot bound to the corresponding shop;
the analysis module is used for performing pre-analysis on the interaction information and transmitting rhythm information to the beverage shaking robot according to a pre-analysis result;
and the control module is used for acquiring an instruction list according to the rhythm information and controlling the beverage shaking robot to perform dynamic motion according to the rule of the instruction list.
In one possible implementation, the method further includes:
the acquisition module is used for determining a control joint of the beverage shaking robot corresponding to each instruction in the instruction list and the motion operation executed by the control joint under the control of the corresponding instruction after the instruction list is acquired;
meanwhile, when the control joints execute movement operation, the movement amplitude of the corresponding control joints is determined, and meanwhile, the flickering condition of a target detection lamp arranged on each control joint is captured according to a delay strategy;
the detection module is used for constructing a motion sequence table of each control joint according to the motion amplitude and constructing a light flicker sequence table of a target detection lamp on each control joint according to a capture result;
the detection module is further used for carrying out standardization processing on the motion sequence table and the light flicker sequence table according to a motion-light flicker conversion model to obtain a corresponding first list and a corresponding second list;
the detection module is further configured to perform time alignment processing on the first list and the second list according to a delay strategy, and detect whether sequences corresponding to the control joints and the target detection lamps at corresponding positions at the same time point are completely matched;
if the control joint is completely matched with the control joint, judging that the corresponding control joint is qualified in motion;
otherwise, carrying out first calibration on the corresponding control joint.
In one possible implementation, the detection module includes:
the first analysis unit is used for acquiring a first list corresponding to a first calibrated control joint and performing second calibration on the unmatched sequences in the first list according to the second list;
the second analysis unit is used for determining the calibration positions of the second calibration result in the first list, and meanwhile, determining whether a single sequence exists in the calibration sequence at each calibration position;
if the single sequence exists, performing third calibration on the single sequence, and simultaneously performing fourth calibration on the remaining unmatched continuous sequences;
the third analysis unit is used for carrying out total fault analysis on the corresponding control joint according to the second calibration result, carrying out first individual fault analysis on the corresponding control joint according to the third calibration result, and carrying out second individual fault analysis on the corresponding control joint according to the fourth calibration result;
the first determining unit is used for determining a first fault factor of the control joint corresponding to the first list according to a total fault analysis result, a first single fault analysis result and a second single fault analysis result;
a first obtaining unit, configured to obtain, according to a delay policy, a first pair of unmatched sequences in the first list and the second list at a same time point, where the first pair of sequences includes: the first sequence in the first list corresponding to the time point and the second sequence in the second list corresponding to the time point;
a second determining unit, configured to determine the number of matched sequences and the number of unmatched sequences in the first pair of sequences, a first position of the matched sequence, and a second position of the unmatched sequence;
the second acquisition unit is used for acquiring a second fault factor of each pair of sequences according to the determination result;
the third determining unit is used for determining a first proportion of the single sequence in the first list and a second proportion of the continuous sequence in the first list, preliminarily determining the current fault level of the control joint corresponding to the first list according to the first proportion and the second proportion, and simultaneously optimizing the fault level according to all the first fault factors and the second fault factors to obtain a final fault level;
and the correcting unit is used for matching a corresponding correction grade from a correction database according to the final fault grade, extracting a correction scheme related to the fault factor from a grade correction address corresponding to the correction grade and correcting the corresponding control joint.
In one possible implementation, the method further includes:
the tracing module is used for tracing the historical chat records of the consumers and extracting language description characteristics in the process of collecting the interaction information between the consumers and the beverage shaking robots bound to the corresponding shops based on the collecting module;
the capturing module is used for capturing the facial expression of the consumer and extracting facial features in the process of collecting the interaction information between the consumer and the beverage shaking robot bound to the corresponding shop based on the collecting module;
the matching module is used for constructing a first feature map according to the language description features, matching a corresponding first rhythm mode based on the map database, constructing a second feature map according to the facial features, and matching a corresponding second rhythm mode based on the map database;
the difference module is used for acquiring the rhythm difference of the first rhythm mode and the second rhythm mode and further determining the rhythm difference frequency;
the distribution module is used for distributing first rhythm music according to a first rhythm mode and distributing second rhythm music according to a second rhythm mode when the rhythm difference frequency is greater than or equal to a preset difference frequency, and outputting the second rhythm music for a consumer to select;
and when the rhythm difference frequency is smaller than the preset difference frequency, acquiring a comprehensive rhythm aiming at the first rhythm mode and the second rhythm mode based on the weight value of the language description characteristics and the weight value of the facial characteristics, optimizing the comprehensive rhythm according to the drink formula of the drink to obtain a final rhythm, distributing according to the final rhythm to obtain a third rhythm music, and outputting and displaying.
In one possible implementation, the beverage formula of the beverage is obtained from a database after the consumer selects a beverage to be consumed based on a preset program.
In one possible implementation, the allocating module includes:
the first distribution unit is used for acquiring the frequency of the same features in the first feature map, arranging the frequency to obtain the features with priority, and further distributing a corresponding first uniform mode based on the map database;
and the second distribution unit is used for acquiring the expression characteristics of different areas in the second characteristic map, determining the similarity of the expression characteristics to obtain different types of expressions and the occurrence frequency of each type of expression, and distributing corresponding second rhythm modes based on the map database.
In one possible implementation, the analysis module includes:
the crawling unit is used for determining corresponding interactive interfaces based on the interactive information, the number of the interactive interfaces is n1, the n input operations of the consumer on a preset interface of the beverage shaking robot are crawled based on the interactive interfaces, and the sum of the input operations of all the interactive interfaces is n;
the building unit is used for obtaining the interface attribute of each interactive interface, determining the input operation corresponding to the interactive interface and building the parameter set of each interactive interface;
the extraction unit is used for sequentially inputting all the parameter sets into a preset artificial intelligence model and extracting a first interface meeting a preset interaction condition and a second interface not meeting the preset interaction condition;
meanwhile, performing first recording on n2 input operations corresponding to the first interface, and performing second recording on n3 input operations corresponding to the second interface;
the judging unit is used for determining an access authority list of each interactive interface, judging whether necessary operation exists in n3 input operations of the second record, if so, reserving the necessary operation as a primary auxiliary factor, and taking the rest operations in the second record as a secondary auxiliary factor, otherwise, taking n3 input operations as secondary auxiliary factors;
the device comprises an establishing unit, a processing unit and a processing unit, wherein the establishing unit is used for establishing an access label for each interactive interface, when the input operation (access frequency) to the interactive interface is more than 1, the corresponding access label is established as a dynamic label, and when the input operation (access frequency) to the interactive interface is 1, the corresponding access label is established as a static label;
the track determining unit is used for determining the interactive access track of each consumer to the corresponding interactive interface based on the timestamp according to the establishing result;
the track processing unit is used for performing emphasis processing on the interactive access track according to a first recording result, and performing auxiliary processing on the interactive access track based on different auxiliary factors to obtain corresponding calibration tracks under different input operations;
and the rhythm generating unit is used for matching corresponding rhythm points with each section of continuous track in the calibration track, obtaining rhythm information based on the rhythm points and further transmitting the rhythm information to the beverage shaking robot.
In one possible implementation, the accessed permission list includes: the corresponding accessed consumer category in the preset time period and the highest accessible times in the preset time period.
In a possible implementation manner, the collecting module is further configured to collect a music selection instruction input by a consumer on a preset interface of a beverage shaking robot bound to a corresponding store, and control the beverage shaking robot to perform dynamic motion according to corresponding music according to the music selection instruction.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a structural diagram of a rhythm sensation control system for data acquisition and transmission of a beverage shaking robot according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides a rhythm dynamic control system for data acquisition and transmission of a beverage shaking robot, which comprises the following components as shown in figure 1:
the acquisition module is used for acquiring interaction information between a consumer and the beverage shaking robot bound to the corresponding shop;
the analysis module is used for performing pre-analysis on the interaction information and transmitting rhythm information to the beverage shaking robot according to a pre-analysis result;
and the control module is used for acquiring an instruction list according to the rhythm information and controlling the beverage shaking robot to perform dynamic motion according to the rule of the instruction list.
In this embodiment, the beverage shaking robot may include joints such as a base, a body, a head, and arms, may be used to blend beverages, coffee, drinks, and the like, and has a function of interaction between a shop and a consumer;
in this embodiment, the interactive information may be a series of operations such as a consumer selecting music on an applet according to his or her order.
In this embodiment, the interactive information is pre-analyzed to analyze a series of operations, so as to ensure that the adapted music information can be effectively obtained, the instruction list is obtained to obtain tempos of the music information at different time points, each tempo can correspond to an instruction, and the joints of the beverage shaking robot are controlled to perform dynamic motion according to the tempo.
In this embodiment, the interactive communication among the collection module, the analysis module, the control module, the beverage shaking robot and the consumer can be realized based on the beverage shaking robot, the mobile phone client and the background server which are placed in the store.
The beneficial effects of the above technical scheme are: the beverage shaking robot is controlled to perform dynamic motion according to the relevant instructions of rhythm by collecting the interactive information of consumers, and the experience effect of the consumers is improved.
Example 2:
based on embodiment 1, the method further comprises the following steps:
the acquisition module is used for determining a control joint of the beverage shaking robot corresponding to each instruction in the instruction list and the motion operation executed by the control joint under the control of the corresponding instruction after the instruction list is acquired;
meanwhile, when the control joints execute movement operation, the movement amplitude of the corresponding control joints is determined, and meanwhile, the flickering condition of a target detection lamp arranged on each control joint is captured according to a delay strategy;
the detection module is used for constructing a motion sequence table of each control joint according to the motion amplitude and constructing a light flicker sequence table of a target detection lamp on each control joint according to a capture result;
the detection module is further used for carrying out standardization processing on the motion sequence table and the light flicker sequence table according to a motion-light flicker conversion model to obtain a corresponding first list and a corresponding second list;
the detection module is further configured to perform time alignment processing on the first list and the second list according to a delay strategy, and detect whether sequences corresponding to the control joints and the target detection lamps at corresponding positions at the same time point are completely matched;
if the control joint is completely matched with the control joint, judging that the corresponding control joint is qualified in motion;
otherwise, carrying out first calibration on the corresponding control joint.
In this embodiment, each rhythm is indicated in the instruction list, and the corresponding one or more joints under different rhythms perform synchronous motion, i.e., the motion operation, i.e., the motion action, can be determined.
In this embodiment, the amplitude of the movement is determined for recording and comparison with standard lighting information.
In this embodiment, each joint is provided with a target detection lamp for obtaining standard information that can represent movement at the same rhythm, and providing a reference basis, and a delay policy is set for avoiding collision in the process of determining the movement amplitude of the joint and determining the light flicker, and avoiding errors in the light result.
In this embodiment, the motion-light flicker conversion model is to perform standardized conversion on the motion sequence and the light sequence, and convert the motion sequence and the light sequence into the same format, so as to facilitate matching processing.
The beneficial effects of the above technical scheme are: through detecting the motion amplitude of each joint, establish corresponding motion sequence table, simultaneously, compare with light scintillation, can effectually ensure the accuracy of judging, guarantee articular qualification, provide effective basis for follow-up dynamic motion, indirectly improve consumer experience effect.
Example 3:
based on embodiment 2, the detection module includes:
the first analysis unit is used for acquiring a first list corresponding to a first calibrated control joint and performing second calibration on the unmatched sequences in the first list according to the second list;
the second analysis unit is used for determining the calibration positions of the second calibration result in the first list, and meanwhile, determining whether a single sequence exists in the calibration sequence at each calibration position;
if the single sequence exists, performing third calibration on the single sequence, and simultaneously performing fourth calibration on the remaining unmatched continuous sequences;
the third analysis unit is used for carrying out total fault analysis on the corresponding control joint according to the second calibration result, carrying out first individual fault analysis on the corresponding control joint according to the third calibration result, and carrying out second individual fault analysis on the corresponding control joint according to the fourth calibration result;
the first determining unit is used for determining a first fault factor of the control joint corresponding to the first list according to a total fault analysis result, a first single fault analysis result and a second single fault analysis result;
a first obtaining unit, configured to obtain, according to a delay policy, a first pair of unmatched sequences in the first list and the second list at a same time point, where the first pair of sequences includes: the first sequence in the first list corresponding to the time point and the second sequence in the second list corresponding to the time point;
a second determining unit, configured to determine the number of matched sequences and the number of unmatched sequences in the first pair of sequences, a first position of the matched sequence, and a second position of the unmatched sequence;
the second acquisition unit is used for acquiring a second fault factor of each pair of sequences according to the determination result;
the third determining unit is used for determining a first proportion of the single sequence in the first list and a second proportion of the continuous sequence in the first list, preliminarily determining the current fault level of the control joint corresponding to the first list according to the first proportion and the second proportion, and simultaneously optimizing the fault level according to all the first fault factors and the second fault factors to obtain a final fault level;
and the correcting unit is used for matching a corresponding correction grade from a correction database according to the final fault grade, extracting a correction scheme related to the fault factor from a grade correction address corresponding to the correction grade and correcting the corresponding control joint.
In this embodiment, two analysis methods are adopted, one is to obtain all unmatched sequences of the first list and the second list for analysis, so as to perform calibration analysis on all unmatched sequences and a continuous sequence, and further to perform fault analysis on all unmatched sequences, all single sequences, and all continuous sequences, respectively, so as to obtain fault factors, and the other is to obtain a sequence pair (of light and joint movement) corresponding to each time point (i.e. at different rhythms), and at this time, to perform fault analysis on the sequence pair at each time point, so as to obtain fault factors.
In this embodiment, the first calibration result, the second calibration result, and the third calibration result are differentiated by different calibration methods, which may be differentiated by different colors.
In this embodiment, the fault analysis means that the corresponding sequences are input into the fault analysis model, the corresponding fault factors are obtained through analysis, and the integrity of the obtained fault factors is ensured through analysis such as isolation, continuity, and integration. The fault analysis model is obtained by training in advance based on various sequences with faults, and the sequences can be a series of binary codes or special characters and the like.
In this embodiment, the pair sequence refers to a related sequence of the movement of the corresponding joint and a related sequence of the light at the same rhythm, which are formed together.
In this embodiment, for example, the number of sequence symbols of the first list is 100, where the number of the individual sequences is 19, only one sequence symbol is in the individual sequences, the number of the consecutive sequences is 10, and at least two sequence symbols of the consecutive sequences are present, then an occupancy ratio is obtained, and then a preliminary estimation of the fault level is performed according to the occupancy ratio, and the fault level may be determined based on a preset table map, where the table includes the occupancy ratio and the obstacle level parameter.
In this embodiment, the correction database is set in advance, and is used to adjust a motion program or the like for controlling the corresponding joint.
In this embodiment, the final failure level is determined to effectively determine the address where the correction scheme can be obtained, so as to facilitate effective acquisition, correct the joint, and ensure effective movement of the joint.
The beneficial effects of the above technical scheme are: through adopting two kinds of analysis methods, respectively to the sequence analysis, can effectively confirm the fault factor, realize the effective correction to the joint, guarantee its qualification, indirectly improve consumer's experience, wherein, through the proportion according to independent sequence and continuous sequence, come preliminary definite fault grade, secondly through fault factor to grade optimization, obtain final grade, guarantee the accuracy that its grade was obtained.
Example 4:
based on embodiment 1, the method further comprises the following steps:
the tracing module is used for tracing the historical chat records of the consumers and extracting language description characteristics in the process of collecting the interaction information between the consumers and the beverage shaking robots bound to the corresponding shops based on the collecting module;
the capturing module is used for capturing the facial expression of the consumer and extracting facial features in the process of collecting the interaction information between the consumer and the beverage shaking robot bound to the corresponding shop based on the collecting module;
the matching module is used for constructing a first feature map according to the language description features, matching a corresponding first rhythm mode based on the map database, constructing a second feature map according to the facial features, and matching a corresponding second rhythm mode based on the map database;
the difference module is used for acquiring the rhythm difference of the first rhythm mode and the second rhythm mode and further determining the rhythm difference frequency;
the distribution module is used for distributing first rhythm music according to a first rhythm mode and distributing second rhythm music according to a second rhythm mode when the rhythm difference frequency is greater than or equal to a preset difference frequency, and outputting the second rhythm music for a consumer to select;
and when the rhythm difference frequency is smaller than the preset difference frequency, acquiring a comprehensive rhythm aiming at the first rhythm mode and the second rhythm mode based on the weight value of the language description characteristics and the weight value of the facial characteristics, optimizing the comprehensive rhythm according to the drink formula of the drink to obtain a final rhythm, distributing according to the final rhythm to obtain a third rhythm music, and outputting and displaying.
The beverage formula of the beverage is obtained from a database after the consumer selects the consumption beverage based on a preset program.
In this embodiment, for example, the final mouth feel corresponding to the beverage formula is sweet and slightly sweet, and different rhythm music may be recommended according to sweet and slightly sweet, for example, sweet music in mild melodies may be recommended.
In this embodiment, the rhythm manner is determined by the language description feature and the facial feature, so as to match a rhythm manner more suitable for the current mood of the consumer, and further, the rhythm manner is obtained by the language description feature and the facial feature.
In this embodiment, the first feature map is constructed by referring to a language description, such as a vocabulary related to a mood, and the second feature map is constructed by referring to a micro-expression related to a mood, for example.
In this embodiment, the score database is pre-established, and includes features and corresponding rhythm manners, and the rhythm manner may refer to music melodies such as rock, mild, and hard pop.
In this embodiment, the rhythm difference is obtained to determine that features based on the facial features and the language description are consistent, so as to ensure specificity of obtaining rhythm music, and directly and effectively meet current requirements of consumers.
In this embodiment, the rhythm difference refers to that, for example, a strong popping melody and a mild melody have large corresponding rhythm difference, different rhythm music can be separately obtained, for example, a rock melody and a strong popping melody have small corresponding rhythm difference, and a rhythm music can be obtained.
In this embodiment, the more important the corresponding feature according to the weight value, the larger the corresponding weight value is, for example, a rock melody and a deep burst melody, the corresponding rhythm difference is small at this time, and a comprehensive rhythm can be obtained to distribute and obtain the third rhythm music.
In this embodiment, rhythmic music refers to a type of music, not one, that provides the consumer with a variety of choices.
The beneficial effects of the above technical scheme are: the rhythm mode is effectively determined by obtaining the language description characteristics and the facial characteristics, and the final rhythm music is recommended to the consumer by determining the rhythm difference between the language description characteristics and the facial characteristics in different modes for the consumer to select, so that the current mood of the consumer is accurately combined, accurate recommendation is realized, and the experience effect of the consumer is indirectly improved.
Example 5:
on the basis of embodiment 4, the allocation module includes:
the first distribution unit is used for acquiring the frequency of the same features in the first feature map, arranging the frequency to obtain the features with priority, and further distributing a corresponding first uniform mode based on the map database;
and the second distribution unit is used for acquiring the expression characteristics of different areas in the second characteristic map, determining the similarity of the expression characteristics to obtain different types of expressions and the occurrence frequency of each type of expression, and distributing corresponding second rhythm modes based on the map database.
The beneficial effects of the above technical scheme are: the rhythm mode is effectively distributed according to the frequency of appearance or the appearance times of similar expressions, the distribution effectiveness is guaranteed, and the experience effect of consumers is improved.
Example 6:
based on embodiment 1, the analysis module includes:
the crawling unit is used for determining corresponding interactive interfaces based on the interactive information, the number of the interactive interfaces is n1, the n input operations of the consumer on a preset interface of the beverage shaking robot are crawled based on the interactive interfaces, and the sum of the input operations of all the interactive interfaces is n;
the building unit is used for obtaining the interface attribute of each interactive interface, determining the input operation corresponding to the interactive interface and building the parameter set of each interactive interface;
the extraction unit is used for sequentially inputting all the parameter sets into a preset artificial intelligence model and extracting a first interface meeting a preset interaction condition and a second interface not meeting the preset interaction condition;
meanwhile, performing first recording on n2 input operations corresponding to the first interface, and performing second recording on n3 input operations corresponding to the second interface;
the judging unit is used for determining an access authority list of each interactive interface, judging whether necessary operation exists in n3 input operations of the second record, if so, reserving the necessary operation as a primary auxiliary factor, and taking the rest operations in the second record as a secondary auxiliary factor, otherwise, taking n3 input operations as secondary auxiliary factors;
the device comprises an establishing unit, a processing unit and a processing unit, wherein the establishing unit is used for establishing an access label for each interactive interface, when the input operation (access frequency) to the interactive interface is more than 1, the corresponding access label is established as a dynamic label, and when the input operation (access frequency) to the interactive interface is 1, the corresponding access label is established as a static label;
the track determining unit is used for determining the interactive access track of each consumer to the corresponding interactive interface based on the timestamp according to the establishing result;
the track processing unit is used for performing emphasis processing on the interactive access track according to a first recording result, and performing auxiliary processing on the interactive access track based on different auxiliary factors to obtain corresponding calibration tracks under different input operations;
and the rhythm generating unit is used for matching corresponding rhythm points with each section of continuous track in the calibration track, obtaining rhythm information based on the rhythm points and further transmitting the rhythm information to the beverage shaking robot.
In one possible implementation, the accessed permission list includes: the corresponding accessed consumer category in the preset time period and the highest accessible times in the preset time period.
In this embodiment, the interactive interface is determined because the consumer not only operates one link interface, but also may operate a plurality of link interfaces during the operation of the preset interface (program interface of the beverage shaking robot), so that the number of the interactive interfaces is n1, the number of the interactive interfaces is one or more, and the final accumulated result is n.
In this embodiment, the interface attribute is related to the program corresponding to the operation, and the interface attributes corresponding to different application programs are different.
In this embodiment, the parameter set includes operations and interface attributes, for example, the interface attribute is a music type selected, or a music name input port, and each word output by the consumer at the music name input port is a plurality of input parameters.
In this embodiment, the preset artificial intelligence model is trained in advance to distinguish the interactive interfaces, for example, the name input interface satisfies the preset condition (can receive the content input by the consumer and perform related search according to the input content).
In this embodiment, the cumulative sum of n1 and n2 is n.
In this embodiment, for example, when the highest access number is not reached, the corresponding input operation may be regarded as a necessary operation and then retained.
In this embodiment, the primary cofactor participates in the secondary processing of the access trajectory differently than the secondary cofactor.
In this embodiment, the access tag is established to determine the number of accesses to the interface, so as to provide an effective reference for the interactive access track, and effectively determine which interface has a high access frequency, which is convenient for processing.
In this embodiment, the performing of the emphasis processing refers to performing the thickening processing and the like on the positions corresponding to some interfaces and the like on the track, and further processing the positions corresponding to some interfaces which are not subjected to the emphasis processing through the auxiliary factor to obtain the calibration track, and the auxiliary processing may also be the thickening processing performed on the corresponding positions, but the thickening effect should be smaller than the thickening effect corresponding to the emphasis processing.
The static tags and the dynamic tags are provided to facilitate efficient bolding of emphasis processing.
In the embodiment, in the calibration track, the corresponding rhythm point is matched according to the difference of the thickening result of each section, so that the rhythm variability can be effectively determined.
In this embodiment, the primary cofactor refers to a position of the corresponding interface on the track that is thickened by one, and the secondary cofactor refers to a position of the corresponding interface on the track that is thickened by two, and the thicknesses of the thickening are different.
The beneficial effects of the above technical scheme are: through crawling the interactive interface and the input operation, the parameter combination can be effectively constructed, then the interfaces meeting the conditions and not meeting the conditions are extracted through intelligent analysis, the permission of each interface is obtained, whether necessary operation exists or not is determined, various auxiliary factors are obtained, then the interactive access track is established, different sections are processed in an emphasized mode, the effective calibration track is guaranteed, the rhythm point is obtained, the rhythm information is obtained, the reliability of the rhythm information is guaranteed, and the interactive experience is further improved.
Example 7:
based on embodiment 1, the collecting module is further configured to collect a music selection instruction input by a consumer on a preset interface of the beverage shaking robot bound to the corresponding store, and control the beverage shaking robot to perform dynamic motion according to corresponding music according to the music selection instruction.
The beneficial effects of the above technical scheme are: the robot is directly controlled to perform corresponding dynamic motion through selection of the consumer, so that visual experience of the consumer is improved conveniently.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A rhythm sensation control system for data acquisition and transmission of a beverage shaking robot, comprising:
the acquisition module is used for acquiring interaction information between a consumer and the beverage shaking robot bound to the corresponding shop;
the analysis module is used for performing pre-analysis on the interaction information and transmitting rhythm information to the beverage shaking robot according to a pre-analysis result;
and the control module is used for acquiring an instruction list according to the rhythm information and controlling the beverage shaking robot to perform dynamic motion according to the rule of the instruction list.
2. A rhythm animation control system as claimed in claim 1, further comprising:
the acquisition module is used for determining a control joint of the beverage shaking robot corresponding to each instruction in the instruction list and the motion operation executed by the control joint under the control of the corresponding instruction after the instruction list is acquired;
meanwhile, when the control joints execute movement operation, the movement amplitude of the corresponding control joints is determined, and meanwhile, the flickering condition of a target detection lamp arranged on each control joint is captured according to a delay strategy;
the detection module is used for constructing a motion sequence table of each control joint according to the motion amplitude and constructing a light flicker sequence table of a target detection lamp on each control joint according to a capture result;
the detection module is further used for carrying out standardization processing on the motion sequence table and the light flicker sequence table according to a motion-light flicker conversion model to obtain a corresponding first list and a corresponding second list;
the detection module is further configured to perform time alignment processing on the first list and the second list according to a delay strategy, and detect whether sequences corresponding to the control joints and the target detection lamps at corresponding positions at the same time point are completely matched;
if the control joint is completely matched with the control joint, judging that the corresponding control joint is qualified in motion;
otherwise, carrying out first calibration on the corresponding control joint.
3. A rhythm animation control system as claimed in claim 2, wherein the detection module comprises:
the first analysis unit is used for acquiring a first list corresponding to a first calibrated control joint and performing second calibration on the unmatched sequences in the first list according to the second list;
the second analysis unit is used for determining the calibration positions of the second calibration result in the first list, and meanwhile, determining whether a single sequence exists in the calibration sequence at each calibration position;
if the single sequence exists, performing third calibration on the single sequence, and simultaneously performing fourth calibration on the remaining unmatched continuous sequences;
the third analysis unit is used for carrying out total fault analysis on the corresponding control joint according to the second calibration result, carrying out first individual fault analysis on the corresponding control joint according to the third calibration result, and carrying out second individual fault analysis on the corresponding control joint according to the fourth calibration result;
the first determining unit is used for determining a first fault factor of the control joint corresponding to the first list according to a total fault analysis result, a first single fault analysis result and a second single fault analysis result;
a first obtaining unit, configured to obtain, according to a delay policy, a first pair of unmatched sequences in the first list and the second list at a same time point, where the first pair of sequences includes: the first sequence in the first list corresponding to the time point and the second sequence in the second list corresponding to the time point;
a second determining unit, configured to determine the number of matched sequences and the number of unmatched sequences in the first pair of sequences, a first position of the matched sequence, and a second position of the unmatched sequence;
the second acquisition unit is used for acquiring a second fault factor of each pair of sequences according to the determination result;
the third determining unit is used for determining a first proportion of the single sequence in the first list and a second proportion of the continuous sequence in the first list, preliminarily determining the current fault level of the control joint corresponding to the first list according to the first proportion and the second proportion, and simultaneously optimizing the fault level according to all the first fault factors and the second fault factors to obtain a final fault level;
and the correcting unit is used for matching a corresponding correction grade from a correction database according to the final fault grade, extracting a correction scheme related to the fault factor from a grade correction address corresponding to the correction grade and correcting the corresponding control joint.
4. A rhythm animation control system as claimed in claim 1, further comprising:
the tracing module is used for tracing the historical chat records of the consumers and extracting language description characteristics in the process of collecting the interaction information between the consumers and the beverage shaking robots bound to the corresponding shops based on the collecting module;
the capturing module is used for capturing the facial expression of the consumer and extracting facial features in the process of collecting the interaction information between the consumer and the beverage shaking robot bound to the corresponding shop based on the collecting module;
the matching module is used for constructing a first feature map according to the language description features, matching a corresponding first rhythm mode based on the map database, constructing a second feature map according to the facial features, and matching a corresponding second rhythm mode based on the map database;
the difference module is used for acquiring the rhythm difference of the first rhythm mode and the second rhythm mode and further determining the rhythm difference frequency;
the distribution module is used for distributing first rhythm music according to a first rhythm mode and distributing second rhythm music according to a second rhythm mode when the rhythm difference frequency is greater than or equal to a preset difference frequency, and outputting the second rhythm music for a consumer to select;
and when the rhythm difference frequency is smaller than the preset difference frequency, acquiring a comprehensive rhythm aiming at the first rhythm mode and the second rhythm mode based on the weight value of the language description characteristics and the weight value of the facial characteristics, optimizing the comprehensive rhythm according to the drink formula of the drink to obtain a final rhythm, distributing according to the final rhythm to obtain a third rhythm music, and outputting and displaying.
5. A rhythm animation control system as claimed in claim 4,
the beverage formula of the beverage is obtained from a database after the consumer selects the consumption beverage based on a preset program.
6. The rhythm animation control system of claim 4, wherein the distribution module comprises:
the first distribution unit is used for acquiring the frequency of the same features in the first feature map, arranging the frequency to obtain the features with priority, and further distributing a corresponding first uniform mode based on the map database;
and the second distribution unit is used for acquiring the expression characteristics of different areas in the second characteristic map, determining the similarity of the expression characteristics to obtain different types of expressions and the occurrence frequency of each type of expression, and distributing corresponding second rhythm modes based on the map database.
7. A rhythm animation control system as claimed in claim 1, wherein the analysis module comprises:
the crawling unit is used for determining corresponding interactive interfaces based on the interactive information, the number of the interactive interfaces is n1, the n input operations of the consumer on a preset interface of the beverage shaking robot are crawled based on the interactive interfaces, and the sum of the input operations of all the interactive interfaces is n;
the building unit is used for obtaining the interface attribute of each interactive interface, determining the input operation corresponding to the interactive interface and building the parameter set of each interactive interface;
the extraction unit is used for sequentially inputting all the parameter sets into a preset artificial intelligence model and extracting a first interface meeting a preset interaction condition and a second interface not meeting the preset interaction condition;
meanwhile, performing first recording on n2 input operations corresponding to the first interface, and performing second recording on n3 input operations corresponding to the second interface;
the judging unit is used for determining an access authority list of each interactive interface, judging whether necessary operation exists in n3 input operations of the second record, if so, reserving the necessary operation as a primary auxiliary factor, and taking the rest operations in the second record as a secondary auxiliary factor, otherwise, taking n3 input operations as secondary auxiliary factors;
the device comprises an establishing unit, a processing unit and a processing unit, wherein the establishing unit is used for establishing an access label for each interactive interface, when the input operation (access frequency) to the interactive interface is more than 1, the corresponding access label is established as a dynamic label, and when the input operation (access frequency) to the interactive interface is 1, the corresponding access label is established as a static label;
the track determining unit is used for determining the interactive access track of each consumer to the corresponding interactive interface based on the timestamp according to the establishing result;
the track processing unit is used for performing emphasis processing on the interactive access track according to a first recording result, and performing auxiliary processing on the interactive access track based on different auxiliary factors to obtain corresponding calibration tracks under different input operations;
and the rhythm generating unit is used for matching corresponding rhythm points with each section of continuous track in the calibration track, obtaining rhythm information based on the rhythm points and further transmitting the rhythm information to the beverage shaking robot.
8. A rhythm animation control system as claimed in claim 7,
the accessed permission list comprises: the corresponding accessed consumer category in the preset time period and the highest accessible times in the preset time period.
9. A rhythm animation control system as claimed in claim 1,
the collecting module is further used for collecting a music selection instruction input by a consumer on a preset interface of the beverage shaking robot bound to the corresponding shop, and controlling the beverage shaking robot to perform dynamic motion according to corresponding music according to the music selection instruction.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116407997A (en) * | 2023-06-06 | 2023-07-11 | 广州玺明机械科技有限公司 | Intelligent control method and device of shaking machine, computer equipment and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060043111A1 (en) * | 2004-08-23 | 2006-03-02 | Craig Jennings | Robotic beverage server |
| US20070039450A1 (en) * | 2005-06-27 | 2007-02-22 | Yamaha Corporation | Musical interaction assisting apparatus |
| CN104192221A (en) * | 2014-09-26 | 2014-12-10 | 哈尔滨工业大学 | Motion control system and method for electrically-driven hexapod robot |
| US20160052770A1 (en) * | 2013-04-09 | 2016-02-25 | Carlo Filippo Ratti | Interactive robotic station for beverage, in particular cocktail, preparation and dispensing |
| CN106873773A (en) * | 2017-01-09 | 2017-06-20 | 北京奇虎科技有限公司 | Robot interactive control method, server and robot |
| US9764469B1 (en) * | 2013-12-13 | 2017-09-19 | University Of South Florida | Generating robotic trajectories with motion harmonics |
| JP2018149629A (en) * | 2017-03-13 | 2018-09-27 | 株式会社国際電気通信基礎技術研究所 | Surprise operation generating device of humanoid robot |
| CN109262627A (en) * | 2018-10-26 | 2019-01-25 | 深圳市三宝创新智能有限公司 | A kind of machine person to person exchange method and system with a variety of personality |
| CN111775156A (en) * | 2020-07-29 | 2020-10-16 | 广东智源机器人科技有限公司 | Beverage robot, control method thereof, robot control system and storage medium |
| EP3733355A1 (en) * | 2019-05-01 | 2020-11-04 | Arrival Limited | Robot motion optimization system and method |
| WO2021104110A1 (en) * | 2019-11-30 | 2021-06-03 | 华为技术有限公司 | Voice matching method and related device |
-
2021
- 2021-07-30 CN CN202110869281.4A patent/CN113625662B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060043111A1 (en) * | 2004-08-23 | 2006-03-02 | Craig Jennings | Robotic beverage server |
| US20070039450A1 (en) * | 2005-06-27 | 2007-02-22 | Yamaha Corporation | Musical interaction assisting apparatus |
| US20160052770A1 (en) * | 2013-04-09 | 2016-02-25 | Carlo Filippo Ratti | Interactive robotic station for beverage, in particular cocktail, preparation and dispensing |
| US9764469B1 (en) * | 2013-12-13 | 2017-09-19 | University Of South Florida | Generating robotic trajectories with motion harmonics |
| CN104192221A (en) * | 2014-09-26 | 2014-12-10 | 哈尔滨工业大学 | Motion control system and method for electrically-driven hexapod robot |
| CN106873773A (en) * | 2017-01-09 | 2017-06-20 | 北京奇虎科技有限公司 | Robot interactive control method, server and robot |
| JP2018149629A (en) * | 2017-03-13 | 2018-09-27 | 株式会社国際電気通信基礎技術研究所 | Surprise operation generating device of humanoid robot |
| CN109262627A (en) * | 2018-10-26 | 2019-01-25 | 深圳市三宝创新智能有限公司 | A kind of machine person to person exchange method and system with a variety of personality |
| EP3733355A1 (en) * | 2019-05-01 | 2020-11-04 | Arrival Limited | Robot motion optimization system and method |
| WO2021104110A1 (en) * | 2019-11-30 | 2021-06-03 | 华为技术有限公司 | Voice matching method and related device |
| CN111775156A (en) * | 2020-07-29 | 2020-10-16 | 广东智源机器人科技有限公司 | Beverage robot, control method thereof, robot control system and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 李晓宁等: "互动机器人的研究", 《长春师范学院学报(自然科学版)》 * |
| 陈益等: "基于语音识别的双足机器人行走控制系统设计", 《物联网技术》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116407997A (en) * | 2023-06-06 | 2023-07-11 | 广州玺明机械科技有限公司 | Intelligent control method and device of shaking machine, computer equipment and storage medium |
| CN116407997B (en) * | 2023-06-06 | 2023-12-22 | 广州玺明机械科技有限公司 | Intelligent control method and device of shaking machine, computer equipment and storage medium |
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|---|---|
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