CN106301990A - Machine condition and user behavior analysis system thereof - Google Patents
Machine condition and user behavior analysis system thereof Download PDFInfo
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- CN106301990A CN106301990A CN201510311539.3A CN201510311539A CN106301990A CN 106301990 A CN106301990 A CN 106301990A CN 201510311539 A CN201510311539 A CN 201510311539A CN 106301990 A CN106301990 A CN 106301990A
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Abstract
The present invention provides a kind of machine condition and user behavior analysis system thereof, comprises a test side device and and analyzes end device.Test side device electrically connects with machine, test side device includes a data acquisition module, sensing module and a data processing module, data acquisition module captures the data within machine, sensing the state of module senses machine and obtain sensing data, it is machine condition data and operational circumstances data that the data within machine and sensing data are given treatment classification by data processing module.Analyze end device to be wirelessly connected with test side device, to receive machine status data and operational circumstances data, analyzing end device and have a data recognition module, identification machine status data is to check in a machine unusual condition, and identification operational circumstances data are to check in a user behavior.The present invention makes machine after manufacture completes to dispatch from the factory, and can note down or follow the trail of the operation behavior of machine condition or its user the most constantly.
Description
Technical field
The present invention is to analyze system, especially with regard to a machine condition and user behavior analysis system thereof about one.
Background technology
Science and technology is flourishing now, the manufacture and use of machine miscellaneous, such as domestic appliance, or industrial, agriculture
With machine, bring people many facilities, also become instrument indispensable in people's life.
The various situations of machine, such as machine operation characteristic or controlled reaction situation, not only manufacture quality with it relevant,
Also closely bound up with the operation behavior of its user, and can have quite for its user, maker or periphery dealer
Big impact.One normal use, remain healthy, there is the machine of good operating characteristics and reaction, be possible not only to fall
The maintenance of low user or purchase cost, be also a kind of affirmative for maker, and the periphery dealer of machine also may be used
Make a profit by being widely used of machine.
But, machine now, after manufacture completes to dispatch from the factory, is not noted down or is followed the trail of machine condition constantly or it makes
The operation behavior of user, also further results in for above-mentioned machine operation characteristic, controlled reaction and impact one-tenth in one's power
This is difficult to assessment with the keyholed back plate made a profit.
In view of this, the present inventor puts into numerous research and development energy and spirit, constantly breaks through in this area and innovation, expects energy
Used deficiency is solved with novel technological means, the product the most kindhearted except bringing society, also promote industry development.
Summary of the invention
The present invention provides a kind of machine condition and user behavior analysis system thereof, above-mentioned one or more scarce to solve
Lose.
A kind of machine condition of offer and user behavior analysis system thereof are provided, comprise a detection
End device and one analyzes end device.Test side device electrically connects with machine, test side device include a data acquisition module,
One sensing module and a data processing module, data acquisition module captures the data within machine, senses module senses
The state of machine and obtain sensing data, data processing module is by the data within machine and sensing data
Reason is categorized as machine condition data and operational circumstances data.Analyze end device wirelessly to connect with test side device
Connect, to receive machine status data and operational circumstances data, analyze end device and there is a data recognition module, identifier
Device status data is to check in a machine unusual condition, and identification operational circumstances data are to check in a user behavior.
It is preferred that test side device and analysis end device wireless connections by a base station, it is geographical that base station has one
Position computation module, counts according to the transmission signal between geographical position and base station and the test side device of base station
Calculate the geographic position data of test side device.
It is preferred that the data processing module of test side device by the data within a characteristic extraction mode handling machine and
Sensing data.
It is preferred that analyze end device to receive the data within machine and sensing data, and mat also by test side device
By a processing module with the data within characteristic extraction mode handling machine and sensing data.
It is preferred that analyze end device there is a Pattern recognition module, in identification machine after characteristic extraction mode processes
The data in portion and/or the kenel of sensing data and excavate a data types model.
It is preferred that Pattern recognition module carries out extracting machine status data, behaviour also for the data types model excavated
Make situation data and observation station and be recycled to analyze the data base of end device, enter further providing for data recognition module
Row identification machine status data and operational circumstances data.
It is preferred that analyze end device also there is a study module, learn the data types model of excavation and obtain a use
Person's preference data and/or error diagnosis data.
It is preferred that analyze end device also there is a prediction module, according to machine unusual condition and/or user behavior
Obtain a machine error to predict the outcome and/or a user behavior prediction result
It is preferred that analyze end device also there is a suggestion module, predict the outcome according to machine error, user behavior pre-
Survey result, machine unusual condition and/or user behavior and form a user behavior recommendation and/or a machine error
Advise with solution.
It is preferred that also include a user end device, it is connected to analyze end device by a network, to accept to analyze end
The data that device is stored.
It is preferred that single test side device the most wirelessly receive through analyze end device process after from multiple detections
The data of end device.
The present invention captures the data within machine and the state of sensing machine by test side device, and is processed as
Machine condition data and operational circumstances data, and receive machine status data and behaviour by the analysis end device of wireless connections
Make situation data and further identification check in machine unusual condition and user behavior.Thereby, machine completes out in manufacture
After factory, can note down or follow the trail of the operation behavior of machine condition or its user the most constantly.As
This not only can promote the understanding that user affects for machine for its operation behavior, also provides maker for manufacturing
Quality and the suggestion of keyholed back plate, and periphery dealer can be provided for using the assessment of brought profit about this machine.Further,
The present invention can also follow the trail of the geographical position of machine, to prevent machine from losing or being stolen, and avoids machine because of storage pipe
Make the best and cause stock to hoard excess.
In order to be able to be further understood that technology, method and effect that the present invention is taked by reaching set purpose, refer to
Below in connection with detailed description of the invention, graphic, it is believed that the purpose of the present invention, feature and feature, when can thus be able to
Go deep into and concrete understanding, but institute's accompanying drawings only provides with reference to and illustrate use, be not used for the present invention is any limitation as
Person.
Accompanying drawing explanation
Fig. 1 is the use equipment drawing of one embodiment of the invention.
Fig. 2 is the system architecture diagram of one embodiment of the invention.
Fig. 3 is the activity chart of the test side device of one embodiment of the invention.
Fig. 4 is one of activity chart analyzing end device of one embodiment of the invention.
Fig. 5 is the two of the activity chart analyzing end device of one embodiment of the invention.
Fig. 6 is the functional frame composition of the user end device of one embodiment of the invention.
Fig. 7 is the activity chart of the voiceprint analysis analyzing end device of one embodiment of the invention.
Symbol description:
100: machine condition and user behavior analysis system thereof
1: machine
2: test side device
21: data acquisition module
22: sensing module
23: data processing module
24: data transmit-receive module
3: analyze end device
31: data recognition module
32: processing module
33: Pattern recognition module
34: study module
35: prediction module
36: suggestion module
4: base station
41: data transmit-receive module
42: geographical position computing module
5: user end device
D1: the data within machine
D2: sensing data
D3: machine condition data
D4: operational circumstances data
D5: machine unusual condition
D6: user behavior
D7: data types model
D8: user's preference data
D9: error diagnosis data
D10: machine error predicts the outcome
D11: user behavior prediction result
D12: user behavior recommendation
D13: machine error is advised with solution
D14: geographic position data
D15: machine identity information
D16: user identity information
D17: reference voice/image patterned feature data base
Db2, Db3: data base
N: network
Detailed description of the invention
Some term uses via embodiment and appended claim with reference to specific component.Art technology
Personnel are when knowing, maker can be with different names with reference to component.It is different and non-functional that presents is not intended to respectively title
Different components.In embodiment and claim, term " includes " and " comprising " is open use, and
Therefore should be interpreted to mean " include rather than be defined in ".
Referring to shown in Fig. 1, the machine condition of the present invention and user behavior analysis system 100 thereof are for analyzing one
The situation of machine 1 and the operation behavior of the user U of analysis machine 1.In the present embodiment, machine 1 is one
Television set.But, the invention is not restricted to this, the machine 1 alternatively domestic appliance such as washing machine, phone, or industrial,
Any machine being available for a user operation such as agricultural machine, if the data within machine, such as television set internal memory
Data that reservoir is stored or the magnitude of voltage of television set, can be for capturing.
Please refer to Fig. 1 and Fig. 2, and coordinate shown in Fig. 3 to Fig. 5 institute, the machine condition of the present invention and making
User's behavior analysis system 100 comprises a test side device 2 and and analyzes end device 3.
Test side device 2 electrically connects with machine 1.In the present embodiment, test side device 2 is a portable apparatus,
It is inserted in a USB connection interface of machine 1, with the data within read machine.But, the present invention is not with this
Being limited, test side device 2 can also be built among machine 1, or, test side device 2 can also be arranged on
The adjacent position of machine 1, such as, be arranged on machine 1 opposite and photograph to carry out detecting for machine 1, as long as detection
It is internal with read machine 1 that end device 2 is connected (including electrically connecting by a wire) with machine 1 with electric connection mode
Data.Test side device 2 can be equiped with battery, to provide test side device 2 to operate required electric power.When
So, the invention is not restricted to this, test side device 2 also can receive and use the electricity from machine 1 or other external power sources
Power.It is preferred that test side device 2 has the identification code of uniqueness, to further provide for analyzing this machine 1 of end device 3
Machine identity information D15.Test side device 2 also includes a user identity input component, such as, include inputting and make
User's identity and the button of password, contact panel or fingerprint, bar code reader structure, to further provide for analyzing end dress
Put the user identity information D16 of 3 these machines 1.
Test side device 2 includes data acquisition module 21, sensing module 22 and a data processing module 23.
Data acquisition module 21 captures data D1 within machine, such as magnitude of voltage.Sensing module 22 senses machine 1
State and obtain sensing data D2.Wherein, data D1 and sensing data D2 within machine are a kind of stoichiometric number
According to (Metering Data).In the present embodiment, sensing module 22 includes humiture sensor 221, inertia measurement
Unit 222 (Inertial measurement unit, IMU) and sound sensor 223.Sensing module 22 also may be used
Penetrate including other sensors, such as width, the sensor such as speed, optics, image.Data processing module 23 is by machine
It is machine condition data D3 and an operational circumstances that internal data D1 and sensing data D2 give treatment classification
Data D4.Furthermore, it is understood that machine condition data D3 include the operating characteristics of such as machine 1 itself and outer
The data such as the machine state change that portion's environmental factors (such as weather) is caused.And operational circumstances data D4 include all
If proper user operation or the operation of improper user are (even such as effractor, hacker operation is that house pet is for machine
The operation etc. of device 1) caused machine performance situation.In the present embodiment, data processing module 23 is special by one
Levy data D1 within extraction mode (step S1) handling machine and sensing data D2, to be further formed as machine
Device status data D3 and operational circumstances data D4.Data D1 within machine, sensing data D2, machine condition
Data D3 and operational circumstances data D4 are stored in database D b2 of test side device 2.At the present embodiment
In, test side device 2 also includes a data transmit-receive module 24, and performs a data transfer activity (step S2),
And by data D1 within machine, sensing data D2, machine condition data D3 and operational circumstances data D4 with
Wireless way for transmitting goes out.In the present embodiment, data transmit-receive module 24 can be a hyperfrequency long range radio frequency transceiver
(UHF Long Range Radio Transceiver), and by an antenna, data are sent out.
In the present embodiment, test side device 2 and analysis end device 3 wireless connections by a base station 4.Base
Platform 4 has a data transmit-receive module 41, to carry out wireless data transmission with test side device 2, and passes through network N
Linking parsing end device 3 is to carry out network data transmission.In preferred embodiment, base station 4 has a geographical position
Put computing module 42, according to the transmission between geographical position and base station 4 and the test side device 2 of base station 4
Signal and calculate the geographic position data D14 of test side device 2, to follow up the geographical position of machine 1,
To prevent machine 1 from losing or being stolen, and avoid machine 1 the best and cause stock to hoard excess because of dealer's control of storing in a warehouse.
Analyze end device 3 and receive machine status data D3 and operational circumstances data D4, and by a data identification mould
Block 31 identification machine status data D3 is to check in machine unusual condition D5 (step S41), and identification operation
Situation data D4 are to check in user behavior D6 (step S51).Certainly, the invention is not restricted to this, analyze end
Device 3 also can receive data D1 within machine and (that is, the metering of sensing data D2 by test side device 2
Data), and data recognition module 31 also can data D1 within identification machine and sensing data D2 (that is, meter
Amount data), to check in machine unusual condition D5 and user behavior D6 (step S41, S51).
In preferred embodiment, analyze end device 3 and also can process in characteristic extraction mode by a processing module 32
Data D1 within machine and sensing data D2 (step S42, S52).In preferred embodiment, analyze end
Device 3 has a Pattern recognition module 33, the treated module of identification 32 process in characteristic extraction mode after machine in
Data D1 in portion and/or the kenel (Pattern) (step S43, S53) of sensing data D2 and excavate a data type
States model D7 (step S44, S54).It is to say, Pattern recognition module 33 for treated module 32 with spy
The kenel levying data D1 within machine after extraction mode processes and sensing data D2 has " identification " and " knows
Function not ", is possible not only to recognize one single kind of kenel, can also be identified for multiple kenel, and
Excavate a greater variety of data types model.It is preferred that Pattern recognition module 33 also can be for the data type excavated
States model D7 carries out extracting machine status data, operational circumstances data and observation station and being recycled to analyze end device 3
Database D b3 (step S48, S58), carry out inside identification machine further providing for data recognition module 31
Data D1, sensing data D2, machine condition data D3 and operational circumstances data D4.
In preferred embodiment, analyze end device 3 and also there is a study module 34, the data types that study is excavated
Model D7 (step S45, S55) and obtain user's preference data D8 and/or error diagnosis data D9,
To learn the operation preference of user according to user's preference data D8, or learn machine according to error diagnosis data D9
The error reason of device 1.Furthermore, it is understood that error diagnosis data D9 not only can include error reason, may also include
Practise reasoning and diagnostic mode obtained by module 34 study.User's preference data D8 and error diagnosis data D9 also may be used
With further provide for data recognition module 31 carry out data D1 within identification machine, sensing data D2, machine shape
Condition data D3 and operational circumstances data D4, to check in machine unusual condition D5 and user behavior D6.
In preferred embodiment, analyze end device 3 and also there is a prediction module 35, according to machine unusual condition D5
And/or user behavior D6 and obtain a machine error and predict the outcome D10 and/or a user behavior prediction result
D11 (step S46, S56).In more preferably embodiment, obtain machine error by step S46 and predict the outcome
After D10, also can perform the asset management (step S49) of machine 1 further, such as prospective maintenance, and right
Production Lifecycle Management (step S50) is carried out in machine 1.
In preferred embodiment, analyze end device 3 and also there is a suggestion module 36, according to machine error prediction knot
Really D10, user behavior prediction result D11, machine unusual condition D5 and/or user behavior D6 and formed
One user behavior recommendation D12 and/or a machine error advise D13 (step S47, S57) with solution.Make
User behavior recommendation D12 can include individualized suggestion or popularity suggestion.Machine error advises D13 with solution
Can include such as machine 1 may the mistake position of (fault), mistake it may happen that time, causing trouble
Operate stroke and solve the solution proposal of above-mentioned mistake.
Please refer to shown in Fig. 1 to Fig. 5, in more preferably embodiment, machine condition and user behavior analysis thereof
System 100 also includes a user end device 5, by network N linking parsing end device 3, to accept to analyze end dress
Put 3 data stored, such as machine condition data D3, operational circumstances data D4, machine unusual condition D5,
User behavior D6, user's preference data D8, error diagnosis data D9, machine error predict the outcome D10,
User behavior prediction result D11, user behavior recommendation D12, machine error and solution suggestion D13,
Reason position data D 14, machine identity information D15, user identity information D16 etc..User end device 5 can
It is a computer apparatus or electronic apparatus, and various application program can be installed.So, as shown in Figure 6, user
U (such as: the periphery dealer of machine builder, the user of machine or machine) can be by user end device 5
Asset management is carried out for machine 1, including prospective maintenance suggestion, working condition follow the trail of (such as job note tracking),
Geographical location information management etc., user U also can provide for test side device 2 by user end device 5
Produce management.Furthermore, user end device 5 also can produce individualized suggestion for user U reference, including machine 1
Or the informing of the health of the action of test side device 2 and the suggestion of control, machine 1 or test side device 2 and state,
The service tracks (such as customer service list is followed the trail of) of machine 1 or test side device 2.Certainly, user end device 5
Also can produce and about user U, the operation behavior of machine 1 be reported.
Furthermore, analyzing end device 3 can also be received from multiple test sides device 2 by base station 4 and network N
Data, to analyze and to store situation and the user behavior thereof of multiple machine 1 further.Simultaneously refering to Fig. 2, figure
Shown in 4 and Fig. 5, more preferably, single test side device 2 the most wirelessly receives and processes through analysis end device 3
After the data from multiple test sides device 2.Specifically, analyze end device 3 stored about multiple machines
The data of 1, such as about machine condition data D3 of multiple machines 1, operational circumstances data D4, machine exception shape
Condition D5, user behavior D6, user's preference data D8, error diagnosis data D9, machine error predict the outcome
D10, user behavior prediction result D11, user behavior recommendation D12, machine error are advised with solution
D13, geographic position data D14, machine identity information D15, user identity information D16 etc., especially with regard to
Machine condition data D3 of multiple machines 1 and operational circumstances data D4, it is also possible to by network N and base station 4
And it is wirelessly communicated to other test side device 2, make single test side device 2 wirelessly receive through dividing
The data from multiple test sides device 2 after analysis end device 3 process, to provide data processing module 23 reference.
So so that single test side device 2 can also learn to analyzing end device 3 and other multiple test sides devices 2
Data process experience, such as characteristic extraction experience, data identification experience etc., and make each test side device 2
More clever by empirical learning, to produce more preferably data processed result.
Refer to Fig. 7 and coordinate shown in Fig. 5, for example, when machine 1 (such as television set) periphery dealer (as
Television channel dealer) user behavior to be understood (during such as program audience rating) time, first television channel dealer can be by
The reference voice of the program that each television channel is play and image input are analyzed end device 3 (step S61) and play
(step S62), or in those reference voice/image files are analyzed and learn reference voice/image
Hold (step S63), then carry out patterned feature extraction (step S64) of sound/image and be stored as reference voice
/ image database patterned feature D17.When analyze end device 3 by network N, base station 4, test side device 2 and
Obtain sound sensor 223 (Fig. 3) sensing from sound obtained by institute's process of end device 2 after testing of the sound of machine 1
During stricture of vagina (that is, operational circumstances data D4), analyzing end device 3 can be according to reference voice/image database patterned feature
D17 carries out vocal print pairing (step S65) for vocal print (that is, operational circumstances data D4), distinguishes carrying out vocal print
Know (i.e. step S51, user behavior identification), and obtain (that is, the user behavior of vocal print result data further
D6), the television channel that spectators are watched can be learnt in machine 1 (herein means television set).Certainly, the present invention is not
It is limited to this, analyzes end device 3 and also can obtain an image capture by network N, base station 4, test side device 2
Image lines (that is, operation feelings obtained by institute's process of end device 2 after testing of the image that device acquisition is play from machine 1
Condition data D4) time, analyzing end device 3 can be according to reference voice/image patterned feature database D 17 for this image
Lines (that is, operational circumstances data D4) carries out image lines pairing, with carry out image lines identification (i.e. step S51,
User behavior identification), and obtain image lines result data (that is, user behavior D6) further, also may be used
Learn the television channel that spectators are watched in machine 1.Further, user end device 5 also can be according to vocal print result data
(or, image lines result data) (that is, user behavior D6) and produce voiceprint analysis report (or, image stricture of vagina
Road analysis report), carry out program audience rating survey and statistics for television channel dealer.Additionally, voiceprint analysis report
And image lines analysis report is also combined with geographic position data D14, make television channel dealer can learn program audience rating
Region relation.
Only the foregoing is only presently preferred embodiments of the present invention, be not intended to limit to the claim of the present invention, therefore such as transport
The equivalence change done by description of the invention and graphic content, is the most all contained in the scope of the present invention
In, close and give Chen Ming.
Claims (11)
1. a machine condition and user behavior analysis system thereof, it is characterised in that for analyzing the shape of a machine
State and analyze the operation behavior of user of this machine, this machine condition and user behavior analysis system thereof comprise:
One test side device, electrically connects with this machine, and this test side device includes a data acquisition module, a sensing mould
Block and a data processing module, this data acquisition module captures the data within this machine, and this sensing module senses should
The state of machine and obtain sensing data, this data processing module is by the data within this machine and this sensing data
Giving treatment classification is machine condition data and operational circumstances data；And
One analyzes end device, is wirelessly connected with this test side device, to receive these machine condition data and this behaviour
Making situation data, this analysis end device has a data recognition module, and these machine condition data of identification are to check in a machine
Unusual condition, and these operational circumstances data of identification are to check in a user behavior.
2. machine condition as claimed in claim 1 and user behavior analysis system thereof, it is characterised in that this inspection
Surveying end device with this analysis end device is the wireless connections by a base station, and this base station has a geographical position and calculates
Module, calculates according to the transmission signal between geographical position and this base station and this test side device of this base station
Go out the geographic position data of this test side device.
3. machine condition as claimed in claim 1 and user behavior analysis system thereof, it is characterised in that this inspection
The data processing module surveying end device is to process the data within this machine and this sensing number by a characteristic extraction mode
According to.
4. machine condition as claimed in claim 1 and user behavior analysis system thereof, it is characterised in that this point
Analysis end device receives the data within this machine and this sensing data also by this test side device, and processes by one
Module processes the data within this machine and this sensing data in characteristic extraction mode.
5. the machine condition as described in claim 3 or 4 and user behavior analysis system thereof, it is characterised in that
This analysis end device has a Pattern recognition module, the number within identification this machine after this feature extraction mode processes
According to and/or the kenel of these sensing data and excavate a data types model.
6. machine condition as claimed in claim 5 and user behavior analysis system thereof, it is characterised in that this type
State identification module also for this data types model excavated carry out extract machine status data, operational circumstances data,
And observation station and be recycled to the data base of this analysis end device, with further provide for this data recognition module carry out identification should
Machine condition data and this operational circumstances data.
7. machine condition as claimed in claim 5 and user behavior analysis system thereof, it is characterised in that this point
Analysis end device also has a study module, this data types model that study is excavated and obtain user's preference data and
/ or error diagnosis data.
8. machine condition as claimed in claim 1 and user behavior analysis system thereof, it is characterised in that this point
Analysis end device also has a prediction module, obtains a machine according to this machine unusual condition and/or this user behavior
Error prediction result and/or a user behavior prediction result.
9. machine condition as claimed in claim 8 and user behavior analysis system thereof, it is characterised in that this point
Analysis end device also there is a suggestion module, predict the outcome according to this machine error, this user behavior prediction result, should
Machine unusual condition and/or this user behavior and form a user behavior recommendation and/or a machine error and solution
Scheme proposals.
10. machine condition as claimed in claim 1 and user behavior analysis system thereof, it is characterised in that also wrap
Include a user end device, connect this analysis end device by a network, to accept the number that this analysis end device is stored
According to.
11. machine condition as claimed in claim 1 and user behavior analysis systems thereof, it is characterised in that single
This test side device the most wirelessly receive after this analysis end device processes from these test side devices multiple
Data.
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| CN201510311539.3A CN106301990A (en) | 2015-06-09 | 2015-06-09 | Machine condition and user behavior analysis system thereof |
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| CN201510311539.3A CN106301990A (en) | 2015-06-09 | 2015-06-09 | Machine condition and user behavior analysis system thereof |
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Cited By (1)
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| CN109254565A (en) * | 2017-07-14 | 2019-01-22 | 凯伯精密机械（上海）有限公司 | Remote monitoring system |
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Application publication date: 20170104 |