CN107878969A - Intelligent Recognition dustbin and its recognition methods - Google Patents
Intelligent Recognition dustbin and its recognition methods Download PDFInfo
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- CN107878969A CN107878969A CN201711291975.4A CN201711291975A CN107878969A CN 107878969 A CN107878969 A CN 107878969A CN 201711291975 A CN201711291975 A CN 201711291975A CN 107878969 A CN107878969 A CN 107878969A
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- 238000000034 method Methods 0.000 title claims abstract description 12
- 239000011888 foil Substances 0.000 claims description 74
- 238000005259 measurement Methods 0.000 claims description 50
- 230000035945 sensitivity Effects 0.000 claims description 49
- 230000002123 temporal effect Effects 0.000 claims description 49
- 238000000418 atomic force spectrum Methods 0.000 claims description 48
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 239000002184 metal Substances 0.000 claims description 7
- 229910052751 metal Inorganic materials 0.000 claims description 7
- 230000009466 transformation Effects 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000003542 behavioural effect Effects 0.000 abstract description 3
- 238000010276 construction Methods 0.000 abstract description 3
- 238000012360 testing method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000002360 explosive Substances 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 2
- 238000000205 computational method Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000036244 malformation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000000505 pernicious effect Effects 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
- B65F1/141—Supports, racks, stands, posts or the like for holding refuse receptacles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/168—Sensing means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/184—Weighing means
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Refuse Collection And Transfer (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The present invention discloses a kind of Intelligent Recognition dustbin and its recognition methods, and Intelligent Recognition dustbin includes：Garbage holding device, power identification alarm electric module and support meanss, the garbage holding device identify that alarm electric module is connected with the support meanss by the power.The present invention identifies alarm electric module to the garbage weight that is discarded in the dustbin by power and abandons behavioural characteristic and be identified and prompt early warning, and simple in construction and reliability is high.
Description
Technical field
The present invention relates to public health and public safety technology correlative technology field, particularly a kind of Intelligent Recognition dustbin
And its recognition methods.
Background technology
Sudden and violent is probably the pernicious event that public safety field needs long-term careful strick precaution.Root is it is reported that terrorist is frequent
Destructor is positioned in dustbin and implements terrorist activity, once succeeding, must suffer lives and properties and society huge
Loss.Impacted or the existing dustbin by particular design can only mitigate caused by blast；Pass through various complicated sensings
Device and circuit are identified, and reliability is not high and involves great expense.
The content of the invention
Based on this, it is necessary to can not reliably detect the technical problem of explosive for the dustbin of prior art, there is provided one
Kind Intelligent Recognition dustbin and its recognition methods.
The present invention provides a kind of Intelligent Recognition dustbin, including：Garbage holding device, power identification alarm electric module, with
And support meanss, the garbage holding device identify that alarm electric module is connected with the support meanss by the power.
Further：The support meanss contact with ground or wall.
Further：The power identification alarm electric module includes bearing, dynamometry sensitivity foil gauge, identification alarm control
Device and alarm processed, described bearing one end are connected with the garbage holding device, and the other end connects with the support meanss
Connect, the dynamometry sensitivity foil gauge is arranged on the bearing, output end and the knowledge of the dynamometry sensitivity foil gauge
The input connection of other alarm controller, the output end of the identification alarm controller are connected with the alarm.
Further：The identification alarm controller, is used for：
The weight of each Litter is obtained from the dynamometry sensitivity foil gauge and Litter contacts the garbage holding device
Caused impact force curve；
It is special as measurement time domain that corresponding temporal signatures are calculated according to the weight of the Litter and the impact force curve
Sign, compared with the temporal signatures are preset into temporal signatures accordingly with the weight；
It is special as measurement frequency domain that corresponding frequency domain character is calculated according to the weight of the Litter and the impact force curve
Sign, compared with the frequency domain character is preset into frequency domain character accordingly with the weight；
When measurement temporal signatures and the default temporal signatures it was found that exception, and/or when the measurement frequency domain
Feature is with the default frequency domain character it was found that exception, then control the alarm to be alarmed.
Further：The dynamometry sensitivity foil gauge includes power sensitivity foil gauge and torque sensitive foil gauge.
Further：The identification alarm controller, is used for：
The stress-strain of each Litter is obtained from the power sensitivity foil gauge, is obtained from the torque sensitive foil gauge each
The torque strain of Litter；
The rubbish is contacted according to the weight and Litter of the stress-strain and each Litter of torque strain calculation
Impact force curve caused by apparatus for placing；
It is special as measurement time domain that corresponding temporal signatures are calculated according to the weight of the Litter and the impact force curve
Sign；
It is special as measurement frequency domain that corresponding frequency domain character is calculated according to the weight of the Litter and the impact force curve
Sign；
When the measurement temporal signatures relatively note abnormalities with default feature, and/or frequency domain character and institute are measured when described
Default frequency domain character is stated it was found that exception, then control the alarm to be alarmed.
Further：Metal sound wave detection sensor is provided with the garbage holding device, the metal sound wave is visited
The signal output part for surveying sensor is connected with the input of power identification alarm electric module.
The present invention provides a kind of recognition methods of foregoing Intelligent Recognition dustbin, including：
The power identification alarm electric module obtains the weight of each Litter and Litter contacts the garbage containing dress
Impact force curve caused by putting；
It is special as measurement time domain that corresponding temporal signatures are calculated according to the weight of the Litter and the impact force curve
Sign；
It is special as measurement frequency domain that corresponding frequency domain character is calculated according to the weight of the Litter and the impact force curve
Sign；
Obtain default feature corresponding with the weight；
When measurement temporal signatures and the default temporal signatures it was found that exception, and/or when the measurement frequency domain
Feature is with the default frequency domain character it was found that exception, then alarmed.
Further, specifically include：
When power identification alarm electric module detects the power of the garbage holding device in time t0Change is produced to melt
Begin, until time t1Untill detecting that the power of the garbage holding device no longer changes, power is recorded during this with the change of time
Change F=f (t) as detection impact force curve, the weight for recording Litter is Δ F=f (t1)-f(t0)；
Obtain default impact force curve F corresponding with the weight‘=f’(t) F=f (t) and F, is calculated‘=f’(t) phase
Relation number r is as measurement temporal signatures；
F=f (t) progress Fourier transformation is obtained into Γ F=Γ f (t), by F‘=f’(t) carry out Fourier transformation and obtain Γ
F‘=Γ f’(t) Γ F and Γ F, are calculated‘Correlation coefficient rfAs measurement frequency domain character；
Obtain default feature r corresponding with the weight0；
If rf≥r0, then measurement temporal signatures and the default temporal signatures are judged it was found that exception, if r
≥r0, then measurement frequency domain character and the default frequency domain character is judged it was found that exception, when the measurement temporal signatures
With the default temporal signatures it was found that exception, and when the measurement frequency domain character with the default frequency domain character it was found that
It is abnormal, then alarmed.
Further, the power identification alarm electric module of the Intelligent Recognition dustbin includes bearing, dynamometry
Sensitive foil gauge, identification alarm controller and alarm, described bearing one end are connected with the garbage holding device,
The other end is connected with the support meanss, and the dynamometry sensitivity foil gauge is arranged on the bearing, and the dynamometry is sensitive
The output end of foil gauge is connected with the input of the identification alarm controller, the output end of the identification alarm controller and institute
Alarm connection is stated, the dynamometry sensitivity foil gauge includes power sensitivity foil gauge and torque sensitive foil gauge；
The power identification alarm electric module obtains the weight of each Litter and Litter contacts the garbage containing dress
Impact force curve, is specifically included caused by putting：
The power identifies that alarm electric module obtains the stress-strain of each Litter from the power sensitivity foil gauge, from described
Torque sensitive foil gauge obtains the torque strain of each Litter；
The rubbish is contacted according to the weight and Litter of the stress-strain and each Litter of torque strain calculation
Impact force curve caused by apparatus for placing.
Further, the power identification alarm electric module is obtained described in weight and the Litter contact of each Litter
Impact force curve, is specifically included caused by garbage holding device：
The power identifies that alarm electric module obtains the stress-strain ε of each Litter from the power sensitivity foil gauge1, from institute
State the torque strain stress that torque sensitive foil gauge obtains each Litter2；
According to the stress-strain and the weight of each Litter of torque strain calculationAnd calculate
Litter contacts impact force curve caused by the garbage holding device, wherein [the c1 c2] it is coefficient matrix, [c1 c2]
Computational methods it is as follows：
It is G that weight is put into garbage holding device in advance1Object, obtain power sensitivity foil gauge strain be ε11, power
The strain of square sensitivity foil gauge is ε12；
It is G that weight is put into garbage holding device2Object, obtain power sensitivity foil gauge strain be ε21, torque is quick
The strain for feeling foil gauge is ε22；
Equation is calculated as follows, obtains [c1 c2]：
The present invention identifies that alarm electric module is special to the garbage weight being discarded in the dustbin and discarding behavior by power
Levy and be identified and prompt early warning, simple in construction and reliability is high.
Brief description of the drawings
Fig. 1 is a kind of structural representation of Intelligent Recognition dustbin of the present invention；
Fig. 2 is that the time-domain characteristic curve contrast difference of impulsive force schemes；
Fig. 3 is the frequency domain character curve difference comparison diagram of impulsive force；
Fig. 4 is that power identifies alarm electric module diagram；
Fig. 5 is a kind of workflow diagram of the recognition methods of foregoing Intelligent Recognition dustbin of the present invention.
Embodiment
The present invention will be further described in detail with specific embodiment below in conjunction with the accompanying drawings.
It is as shown in Figure 1 a kind of structural representation of Intelligent Recognition dustbin of the present invention, including：Garbage holding device 4, power
Alarm electric module 2 and support meanss 1 are identified, the garbage holding device 4 identifies alarm electric module 2 by the power
It is connected with the support meanss 1.
As shown in Figure 1, specifically, garbage holding device 4 is by the support of steel ring 3, when someone is to dustbin Litter
During product, article inherently produces impulsive force to garbage holding device, and the impulsive force is converted into electricity by power identification alarm electric module
Signal is simultaneously recorded., certainly will due to difference of the article on weight, shaped volumes, the particularly difference of the behavioural characteristic of people
The feature difference of power can be impacted.As shown in Fig. 2 the time-domain characteristic curve difference of impulsive force can be utilized for explosive and general
The identification of logical rubbish；As shown in figure 3, the frequency domain character curve difference of impulsive force can be utilized for the knowledge of explosive and common rubbish
Not.By the weight characteristics of various Litters and abandon in advance and behavioural characteristic typing and extract characteristic parameter, by these characteristic parameters
It is stored in power identification alarm electric module.When dustbin comes into operation, weight and the contact of each Litter can be obtained in real time
Impulsive force caused by garbage holding device moment simultaneously extracts its characteristic parameter, carries out integrating with the characteristic parameter stored in advance pair
Than and Intelligent Recognition, abnormal signal is alarmed.
The present invention identifies that alarm electric module is special to the garbage weight being discarded in the dustbin and discarding behavior by power
Levy and be identified and prompt early warning, simple in construction and reliability is high.
In one of the embodiments：The support meanss 1 contact with ground or wall.
As shown in figure 4, in one of the embodiments：The power identification alarm electric module 2 includes bearing 21, surveyed
Power sensitivity foil gauge 22, identification alarm controller 23 and alarm, described one end of bearing 21 fill with the garbage containing
Connection is put, the other end is connected with the support meanss, and the dynamometry sensitivity foil gauge 22 is arranged on the bearing 21, institute
The output end for stating dynamometry sensitivity foil gauge 22 is connected with the input of the identification alarm controller 23, the identification controlling alarm
The output end of device is connected with the alarm.
Specifically, when someone is to dustbin throw-away item, article inherently produces impulsive force to garbage holding device,
Impulsive force causes malformation and the dynamometry sensitivity foil gauge 22 by being pasted onto in structure is converted into electric signal and passes to knowledge again
Other alarm controller 23 is identified.
In one of the embodiments：The identification alarm controller, is used for：
The weight of each Litter is obtained from the dynamometry sensitivity foil gauge and Litter contacts the garbage holding device
Caused impact force curve；
It is special as measurement time domain that corresponding temporal signatures are calculated according to the weight of the Litter and the impact force curve
Sign, compared with the temporal signatures are preset into temporal signatures accordingly with the weight；
It is special as measurement frequency domain that corresponding frequency domain character is calculated according to the weight of the Litter and the impact force curve
Sign, compared with the frequency domain character is preset into frequency domain character accordingly with the weight；
When measurement temporal signatures and the default temporal signatures it was found that exception, and/or when the measurement frequency domain
Feature is with the default frequency domain character it was found that exception, then control the alarm to be alarmed.
Foundation as identification comprises at least：The gain in weight of garbage holding device, Litter contact rubbish after abandoning every time
Impact force curve and its time-frequency characteristics after apparatus for placing in the short time.
In one of the embodiments：The dynamometry sensitivity foil gauge includes power sensitivity foil gauge and torque sensitive strains
Piece.
The force measuring structure being connected between support meanss and steel ring is irregular, pastes foil gauge in multiple spot thereon, part strains
Piece be torque sensitive foil gauge to torque sensitive, part foil gauge is that power sensitivity foil gauge is sensitive to power, identifies alarm controller,
Such as intelligent chip, the power and torque that can be collected to each foil gauge decouple, the weight of Litter can pass through foil gauge
Perception data extracts, as follow-up basis of characterization.Power identification alarm electric module is arranged on force measuring structure, not to power
Measurement has an impact.
In one of the embodiments：The identification alarm controller, is used for：
The stress-strain of each Litter is obtained from the power sensitivity foil gauge, is obtained from the torque sensitive foil gauge each
The torque strain of Litter；
The rubbish is contacted according to the weight and Litter of the stress-strain and each Litter of torque strain calculation
Impact force curve caused by apparatus for placing；
It is special as measurement time domain that corresponding temporal signatures are calculated according to the weight of the Litter and the impact force curve
Sign；
It is special as measurement frequency domain that corresponding frequency domain character is calculated according to the weight of the Litter and the impact force curve
Sign；
When the measurement temporal signatures relatively note abnormalities with default feature, and/or frequency domain character and institute are measured when described
State default feature relatively to note abnormalities, then control the alarm to be alarmed.
In one of the embodiments：Metal sound wave detection sensor, the gold are provided with the garbage holding device
The signal output part for belonging to acoustic detection sensor is connected with the input of power identification alarm electric module.
The metal of the present embodiment and the signal of sound wave detection sensor are as the supplementary means judged extremely.Preferably metal
Acoustic detection sensor is connected with identification alarm controller.
A kind of workflow diagram of the recognition methods of foregoing Intelligent Recognition dustbin of the present invention is illustrated in figure 5,
Including：
Step S501, the power identification alarm electric module obtains the weight of each Litter and Litter contacts the rubbish
Impact force curve caused by rubbish apparatus for placing；
Step S502, corresponding temporal signatures are calculated as survey according to the weight of the Litter and the impact force curve
Measure temporal signatures；
Step S503, corresponding frequency domain character is calculated as survey according to the weight of the Litter and the impact force curve
Measure frequency domain character；
Step S504, obtain default feature corresponding with the weight；
Step S505, when measurement temporal signatures and the default temporal signatures it was found that exception, and/or when described
Frequency domain character is measured with the default frequency domain character it was found that exception, then alarmed.
In one of the embodiments, specifically include：
Step S501, is specifically included：When power identification alarm electric module detects the power of the garbage holding device
In time t0Change is produced, until time t1Untill detecting that the power of the garbage holding device no longer changes, during recording this
Power changes with time F=f (t) as detection impact force curve, and the weight for recording Litter is Δ F=f (t1)-f(t0)；
Specifically, a threshold value Δ F can be preset0, as Δ F≤Δ F0When, power identification alarm electric module, which is not done, reacts；
As Δ F ＞ Δs F0When, calculating F=f (t) amplitude Fmax.Work as FmaxDuring≤μ Δ F, step S502 is performed, wherein μ is default often system
Number.
Step S502, is specifically included：Obtain default impact force curve F corresponding with the weight‘=f’(t) F=f, is calculated
And F (t)‘=f’(t) correlation coefficient r is as measurement temporal signatures；
Specifically, each default impact force curve corresponds to the weight of different simulated test Litters, which simulation respectively
Litter weight is tested closest to Δ F, then takes value F corresponding to it‘=f’(t), F‘=f’(t) can be by simulating examination several times
Obtained after testing.Such as by carrying out multiple simulated test discarding, the impact force curve to simulated test Litter carries out statistics and obtained
.
Step S503, is specifically included：F=f (t) progress Fourier transformation is obtained into Γ F=Γ f (t), by F‘=f’(t) enter
Row Fourier transformation obtains Γ F‘=Γ f’(t) Γ F and Γ F, are calculated‘Correlation coefficient rfAs measurement frequency domain character；
Step S504, is specifically included：Obtain default feature r corresponding with the weight0；
Specifically, feature r is preset0Value is (r01、r02...), each default characteristic value corresponds to different simulations respectively
The weight of Litter is tested, which simulated test Litter weight then takes value r corresponding to it closest to Δ F0, can specifically lead to
R is obtained after simulated test several times0Multiple statistics empirical datas.
Step S505, is specifically included：If rf≥r0, then the measurement temporal signatures and the default temporal signatures are judged
It was found that it is abnormal, if r >=r0, then measurement frequency domain character and the default frequency domain character is judged it was found that exception,
When measurement temporal signatures and the default temporal signatures it was found that exception, and when the measurement frequency domain character with it is described pre-
If frequency domain character is then alarmed it was found that exception.
In one of the embodiments, the power identification alarm electric module 2 of the Intelligent Recognition dustbin includes holding
Power apparatus 21, dynamometry sensitivity foil gauge 22, identification alarm controller 23 and alarm, described one end of bearing 21 and institute
Garbage holding device connection is stated, the other end is connected with the support meanss, and the dynamometry sensitivity foil gauge 22 is arranged on described hold
On power apparatus 21, the output end of the dynamometry sensitivity foil gauge 22 is connected with the input of the identification alarm controller 23, institute
State identification alarm controller output end be connected with the alarm, the dynamometry sensitivity foil gauge including power sensitivity foil gauge with
Torque sensitive foil gauge；
The power identification alarm electric module obtains the weight of each Litter and Litter contacts the garbage containing dress
Impact force curve, is specifically included caused by putting：
The power identifies that alarm electric module obtains the stress-strain of each Litter from the power sensitivity foil gauge, from described
Torque sensitive foil gauge obtains the torque strain of each Litter；
The rubbish is contacted according to the weight and Litter of the stress-strain and each Litter of torque strain calculation
Impact force curve caused by apparatus for placing.
In one of the embodiments, the power identification alarm electric module obtains the weight and Litter of each Litter
Impact force curve caused by the garbage holding device is contacted, is specifically included：
The power identifies that alarm electric module obtains the stress-strain ε of each Litter from the power sensitivity foil gauge1, from institute
State the torque strain stress that torque sensitive foil gauge obtains each Litter2；
According to the stress-strain and the weight of each Litter of torque strain calculationAnd calculate
Litter contacts impact force curve caused by the garbage holding device, wherein [the c1 c2] it is coefficient matrix, [c1 c2]
Computational methods it is as follows：
It is G that weight is put into garbage holding device in advance1Object, obtain power sensitivity foil gauge strain be ε11, power
The strain of square sensitivity foil gauge is ε12；
It is G that weight is put into garbage holding device2Object, obtain power sensitivity foil gauge strain be ε21, torque is quick
The strain for feeling foil gauge is ε22；
Equation is calculated as follows, obtains [c1 c2]：
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (11)
- A kind of 1. Intelligent Recognition dustbin, it is characterised in that including：Garbage holding device, power identification alarm electric module and Support meanss, the garbage holding device identify that alarm electric module is connected with the support meanss by the power.
- 2. Intelligent Recognition dustbin according to claim 1, it is characterised in that：The support meanss connect with ground or wall Touch.
- 3. Intelligent Recognition dustbin according to claim 1, it is characterised in that：The power identification alarm electric module includes Bearing, dynamometry sensitivity foil gauge, identification alarm controller and alarm, described bearing one end and the rubbish Apparatus for placing is connected, and the other end is connected with the support meanss, and the dynamometry sensitivity foil gauge is arranged on the bearing, The output end of the dynamometry sensitivity foil gauge is connected with the input of the identification alarm controller, the identification alarm controller Output end be connected with the alarm.
- 4. Intelligent Recognition dustbin according to claim 3, it is characterised in that：The identification alarm controller, is used for：The weight of each Litter is obtained from the dynamometry sensitivity foil gauge and Litter contacts the garbage holding device and produced Raw impact force curve；Corresponding temporal signatures are calculated as measurement temporal signatures according to the weight of the Litter and the impact force curve, will Compared with the temporal signatures preset temporal signatures accordingly with the weight；Corresponding frequency domain character is calculated as measurement frequency domain character according to the weight of the Litter and the impact force curve, will Compared with the frequency domain character presets frequency domain character accordingly with the weight；When measurement temporal signatures and the default temporal signatures it was found that exception, and/or when the measurement frequency domain character With the default frequency domain character it was found that exception, then control the alarm to be alarmed.
- 5. Intelligent Recognition dustbin according to claim 3, it is characterised in that：It is quick that the dynamometry sensitivity foil gauge includes power Feel foil gauge and torque sensitive foil gauge.
- 6. Intelligent Recognition dustbin according to claim 5, it is characterised in that：The identification alarm controller, is used for：The stress-strain of each Litter is obtained from the power sensitivity foil gauge, obtains from the torque sensitive foil gauge and abandons every time The torque strain of thing；The garbage containing is contacted according to the weight and Litter of the stress-strain and each Litter of torque strain calculation Impact force curve caused by device；Corresponding temporal signatures are calculated as measurement temporal signatures according to the weight of the Litter and the impact force curve；Corresponding frequency domain character is calculated as measurement frequency domain character according to the weight of the Litter and the impact force curve；When it is described measurement temporal signatures relatively noted abnormalities with default feature, and/or when it is described measure frequency domain character with it is described pre- If feature relatively notes abnormalities, then the alarm is controlled to be alarmed.
- 7. the Intelligent Recognition dustbin according to any one of claim 1~6, it is characterised in that：The garbage holding device On be provided with metal sound wave detection sensor, signal output part and the power identification of the metal sound wave detection sensor are alarmed The input connection of electronic module.
- A kind of 8. recognition methods of Intelligent Recognition dustbin as claimed in claim 1, it is characterised in that including：The power identification alarm electric module obtains the weight of each Litter and Litter contacts the garbage holding device institute Caused impact force curve；Corresponding temporal signatures are calculated as measurement temporal signatures according to the weight of the Litter and the impact force curve；Corresponding frequency domain character is calculated as measurement frequency domain character according to the weight of the Litter and the impact force curve；Obtain default feature corresponding with the weight；When measurement temporal signatures and the default temporal signatures it was found that exception, and/or when the measurement frequency domain character With the default frequency domain character it was found that exception, then alarmed.
- 9. the recognition methods of Intelligent Recognition dustbin according to claim 8, it is characterised in that specifically include：When power identification alarm electric module detects the power of the garbage holding device in time t0Produce change to start, directly To time t1Untill detecting that the power of the garbage holding device no longer changes, record power during this and change with time F=f (t) as measurement impact force curve, the weight for recording Litter is Δ F=f (t1)-f(t0)；Default impact force curve F '=f ' (t) corresponding with the weight is obtained, it is related to F '=f's ' (t) to calculate F=f (t) Coefficient r is as measurement temporal signatures；F=f (t) progress Fourier transformation is obtained into Γ F=Γ f (t), F '=f ' (t) is carried out into Fourier transformation obtains Γ F '=Γ f ' (t), calculate Γ F and Γ F ' correlation coefficient rfAs measurement frequency domain character；Obtain default feature r corresponding with the weight0；If rf≥r0, then measurement temporal signatures and the default temporal signatures are judged it was found that exception, if r >=r0, Then judge measurement frequency domain character and the default frequency domain character it was found that exception, when the measurement temporal signatures with it is described Default temporal signatures it was found that exception, and when the measurement frequency domain character with the default frequency domain character it was found that exception, Then alarmed.
- 10. the recognition methods of Intelligent Recognition dustbin according to claim 8, it is characterised in that the Intelligent Recognition rubbish The power identification alarm electric module of bucket includes bearing, dynamometry sensitivity foil gauge, identification alarm controller and alarm Device, described bearing one end are connected with the garbage holding device, and the other end is connected with the support meanss, and the dynamometry is quick Sense foil gauge is arranged on the bearing, the output end of the dynamometry sensitivity foil gauge and the identification alarm controller Input is connected, and the output end of the identification alarm controller is connected with the alarm, and the dynamometry sensitivity foil gauge includes Power sensitivity foil gauge and torque sensitive foil gauge；The power identification alarm electric module obtains the weight of each Litter and Litter contacts the garbage holding device institute Caused impact force curve, is specifically included：The power identifies that alarm electric module obtains the stress-strain of each Litter from the power sensitivity foil gauge, from the torque Sensitive foil gauge obtains the torque strain of each Litter；The garbage containing is contacted according to the weight and Litter of the stress-strain and each Litter of torque strain calculation Impact force curve caused by device.
- 11. the recognition methods of Intelligent Recognition dustbin according to claim 10, it is characterised in that the power identification alarm Electronic module obtains the weight of each Litter and Litter contacts impact force curve caused by the garbage holding device, tool Body includes：The power identifies that alarm electric module obtains the stress-strain ε of each Litter from the power sensitivity foil gauge1, from the power Square sensitivity foil gauge obtains the torque strain stress of each Litter2；According to the stress-strain and the weight of each Litter of torque strain calculationAnd calculate discarding Thing contacts impact force curve caused by the garbage holding device, wherein [the c1 c2] it is coefficient matrix, [c1 c2] meter Calculation method is as follows：It is G that weight is put into garbage holding device in advance1Object, obtain power sensitivity foil gauge strain be ε11, torque is quick The strain for feeling foil gauge is ε12；It is G that weight is put into garbage holding device2Object, obtain power sensitivity foil gauge strain be ε21, torque sensitive should Become the strain of piece as ε22；Equation is calculated as follows, obtains [c1 c2]：<mrow> <msub> <mi>G</mi> <mn>1</mn> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>c</mi> <mn>1</mn> </msub> </mtd> <mtd> <msub> <mi>c</mi> <mn>2</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>&epsiv;</mi> <mn>11</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>&epsiv;</mi> <mn>12</mn> </msub> </mtd> </mtr> </mtable> </mfenced> </mrow><mrow> <msub> <mi>G</mi> <mn>2</mn> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>c</mi> <mn>1</mn> </msub> </mtd> <mtd> <msub> <mi>c</mi> <mn>2</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>&epsiv;</mi> <mn>21</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>&epsiv;</mi> <mn>22</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>.</mo> </mrow>
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203246756U (en) * | 2013-02-20 | 2013-10-23 | 郑皓元 | Intelligent garbage collection can |
| CN104044846A (en) * | 2014-06-30 | 2014-09-17 | 谭翼翔 | Intelligent security and prevention trash can |
| CN208361047U (en) * | 2017-12-08 | 2019-01-11 | 广州中国科学院工业技术研究院 | Intelligent recognition dustbin |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203246756U (en) * | 2013-02-20 | 2013-10-23 | 郑皓元 | Intelligent garbage collection can |
| CN104044846A (en) * | 2014-06-30 | 2014-09-17 | 谭翼翔 | Intelligent security and prevention trash can |
| CN208361047U (en) * | 2017-12-08 | 2019-01-11 | 广州中国科学院工业技术研究院 | Intelligent recognition dustbin |
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