CN208876535U - A kind of anti-drowning self-rescuing device and waistband - Google Patents
A kind of anti-drowning self-rescuing device and waistband Download PDFInfo
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- CN208876535U CN208876535U CN201721859238.5U CN201721859238U CN208876535U CN 208876535 U CN208876535 U CN 208876535U CN 201721859238 U CN201721859238 U CN 201721859238U CN 208876535 U CN208876535 U CN 208876535U
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Abstract
The utility model embodiment discloses a kind of anti-drowning self-rescuing device and waistband, including piezoelectric transducer, processing unit, controller and air bag；The piezoelectric transducer is used to acquire the physiological signal of user, and the physiological signal is sent to processing unit, wherein the physiological signal includes breath signal and ballistocardiography signal；The input terminal of the processing unit connects the piezoelectric transducer, and output end connects the controller, and for handling the physiological signal, to judge that the user whether there is drowned situation, situation of drowning if it exists then sends drowned signal to controller；The drowned signal that the controller is used to be sent according to the processing unit sends control command to air bag；The air bag is connect with the controller, and the control command for being sent according to the controller is inflated.By the above-mentioned means, the utility model embodiment can accurately carry out drowned judgement, and in time, effectively realize drowned save oneself.
Description
Technical field
The utility model embodiment is related to security appliance field, more particularly to a kind of anti-drowning self-rescuing device and waist
Band.
Background technique
It is introduced according to the World Health Organization, drowned is the third-largest reason of world today various regions Unintentional injury death,
All 7% with injury in relation to death are accounted for, according to statistics, the case of annual drowning is estimated as 360,000 all over the world.People is flooded
No Yu Shuizhong, respiratory tract is blocked by impurity such as water, sludge, weeds, penetrating property spasm after larynx, tracheae occur, and then causes to suffocate
It is known as drowning with anoxic, the most important reason of drowning is exactly anoxic, and therefore, how to save oneself when drowned seems especially heavy
It wants.
In today's society because the news of drowning is commonplace, concern increasingly by society and people, but it is related
Technology is still not perfect, and traditional buoyant apparatus is mostly life jacket, lifebuoy etc., it has not been convenient to carry, influence people and normally entertain.
It is some to be capable of providing the drowned product saved oneself, it can only be by detecting pulse signal either manually or by pulse transducer
Mode start, people are difficult accurately to manually boot in the case where flurried when drowned, and use pulse transducer into
Because of measurement range and there is deviation using position and user's figure in the detection meeting of row pulse signal, and only passes through single arteries and veins
The drowned situation of signal determining of fighting is easy to error occur, causes the judgement to drowned situation not accurate enough.
Then, inventor proposes a kind of new anti-drowning self-rescuing device on this basis, can accurately carry out drowning and sentence
It is disconnected, and in time, effectively realize drowned save oneself.
Utility model content
The utility model embodiment is mainly solving the technical problems that provide a kind of anti-drowning self-rescuing device and waistband, energy
It is enough accurately to carry out drowned judgement, and in time, effectively realize drowned save oneself.
In order to solve the above technical problems, the technical solution that the utility model uses is: providing anti-drown of one kind and save oneself
Device is applied to waistband, including including piezoelectric transducer, processing unit, controller and air bag；
The piezoelectric transducer is used to acquire the physiological signal of user, and the physiological signal is sent to processing unit,
Wherein, the physiological signal includes breath signal and ballistocardiography signal；
The input terminal of the processing unit connects the piezoelectric transducer, and the output end of the processing unit connects the control
Device processed, the processing unit is for handling the physiological signal, to judge that the user whether there is drowned situation, if
There is drowned situation in the user, then send drowned signal to the controller；
The drowned signal that the controller is used to be sent according to the processing unit sends control life to the air bag
It enables；
The air bag is connect with the controller, and the control command for being sent according to the controller carries out
Inflation.
Optionally, the piezoelectric transducer is piezoelectric film sensor.
Optionally, the processing unit includes:
Machine learning device, the machine learning device are connect with controller, for carrying out machine learning to the physiological signal
Processing, if the user has drowned situation, is sent with judging that the user whether there is drowned situation to the controller
Drowned signal.
Optionally, the processing unit further include:
Signal processor, the input terminal of the signal processor are connect with the piezoelectric transducer, the signal processor
Output end connect with the machine learning device, for the physiological signal before carrying out machine learning processing to be amplified, is filtered
Involve feature signal extraction processing, and the characteristic signal of the extraction is sent to the machine learning device and is carried out at machine learning
Reason.
Optionally, the anti-drowning self-rescuing device further include:
Speech recognition device, institute's speech recognizer are connect with the controller, for identification voice signal, and according to described
Voice signal judges that the user whether there is drowned situation, if the user has drowned situation, sends out to the controller
Send drowned signal.
Optionally, the anti-drowning self-rescuing device further include:
Switch, the switch are connect with the controller, for generating switching signal and to described in controller transmission
Switching signal；
The controller is also used to send the control command to the air bag according to the switching signal to control
The air bag is opened.
Optionally, the anti-drowning self-rescuing device further include:
Power supply, for powering to the anti-drowning self-rescuing device.
In order to solve the above technical problems, another technical solution that the utility model uses is: a kind of waistband is provided, including
Belt buckle, waistband body, further includes:
Above-described anti-drowning self-rescuing device.
Optionally, the piezoelectric transducer and air bag are according to by being set to institute to the sequence on the outside of waistband on the inside of waistband
It states inside waistband body.
Optionally, the piezoelectric transducer is placed in waterproofing membrane.
The beneficial effect of the utility model embodiment is: being in contrast to the prior art, the utility model embodiment party
Formula provides a kind of anti-drowning self-rescuing device and waistband, comprising: piezoelectric transducer, processing unit, controller and air bag, it is described
Processing unit input terminal connects piezoelectric transducer, and output end connects controller, controller other end connecting safety air bag, by making
With piezoelectric transducer, the physiological signal of user can be more precisely acquired, specifically includes acquisition breath signal and ballistocardiography
Signal further carries out drowned situation by the physiological signal and determines to sentence than only carrying out drowned situation by pulse signal
It is fixed more acurrate, can in time, effectively realize drowned save oneself.
Detailed description of the invention
One or more embodiments are illustrated by corresponding attached drawing, these exemplary illustrations not structure
The restriction of pairs of embodiment, the element with same reference numbers label is expressed as similar element in attached drawing, unless there are special
It declares, composition does not limit the figure in attached drawing.
Fig. 1 is a kind of structural schematic diagram for waistband that the utility model embodiment provides；
Fig. 2 is a kind of structural schematic diagram for anti-drowning self-rescuing device that the utility model embodiment provides；
Fig. 3 is a kind of structural schematic diagram for anti-drowning self-rescuing device that another embodiment of the utility model provides；
Fig. 4 is a kind of structural schematic diagram for anti-drowning self-rescuing device that another embodiment of the utility model provides；
Fig. 5 is a kind of structural schematic diagram for anti-drowning self-rescuing device that another embodiment of the utility model provides；
Fig. 6 is a kind of structural schematic diagram for anti-drowning self-rescuing device that another embodiment of the utility model provides.
Referring to Fig. 1 to Fig. 6,1 is waistband, and 10 be anti-drowning self-rescuing device, and 20 be belt buckle, and 30 be waistband body, and 11 are
Piezoelectric transducer, 111 be waterproofing membrane, and 12 be processing unit, and 121 be signal processor, and 122 be machine learning device, and 13 be control
Device processed, 14 be air bag, and 15 be speech recognition device, and 16 be switch, and 17 be power supply, and 301 is on the inside of waistband, 302 is outside waistbands
Side.
Specific embodiment
For the ease of understanding the utility model, with reference to the accompanying drawings and detailed description, the utility model is carried out more
Detailed description.It should be noted that it can be directly in another element when element is expressed " being fixed on " another element
Upper or placed in the middle there may be one or more therebetween elements.When an element is expressed " connection " another element, it can
To be directly to another element or elements placed in the middle there may be one or more therebetween.This specification is used
Term "vertical", "horizontal", "left" and "right" and similar statement for illustrative purposes only.
Unless otherwise defined, technical and scientific term all used in this specification and the skill for belonging to the utility model
The normally understood meaning of the technical staff in art field is identical.Art used in the description of the utility model in this specification
Language is only for the purpose of describing specific embodiments, and is not intended to limitation the utility model.Art used in this specification
Language "and/or" includes any and all combinations of one or more related listed items.
A kind of anti-drowning self-rescuing device 10 can apply in the wearable product such as waistband, bracelet, swimming suit, this is practical new
Type embodiment will elaborate the utility model in conjunction with attached drawing by taking waistband as an example.
Referring to Fig. 1, Fig. 1 is a kind of structural schematic diagram for waistband that the utility model embodiment provides.
A kind of waistband 1, comprising: belt buckle 20, waistband body 30 and anti-drowning self-rescuing device 10.Wherein, belt buckle 20 1
End is fixedly connected with waistband body 30, and the other end is provided with movable buckle (not shown), removable to carry out with waistband body 30
Formula connection is unloaded, the anti-drowning self-rescuing device 10 is then distributed in belt buckle 20 and waistband body 30, wherein anti-drown is saved oneself
Device 10 includes piezoelectric transducer 11, signal processor 121, machine learning device 122, controller 13, air bag 14, voice knowledge
Other device 15, switch 16 and power supply 17.
Form accommodating chamber inside belt buckle 20, shape for rectangle, circle, star or some other can increase
The shape of ornamental degree.In belt buckle 20, the signal processor 121, machine learning device 122, control of anti-drowning self-rescuing device 10 are set
Device 13, speech recognition device 15 and power supply 17, the signal processor 121, machine learning device 122, controller 13, speech recognition device
15 and power supply 17 then by integrated chip or circuit board etc. it is integrated after be set in the accommodating chamber formed inside belt buckle 20, and
It is packaged by shell, the shell is waterproof material, to protect 20 internal circuit configuration of belt buckle, prevents from meeting water damage
It is bad.
Belt buckle 20 is additionally provided with switch 16, and the switch 16 is set to outside belt buckle 20, can be set in belt buckle
20 front, lower section or side, the switch 16 can be push switch, or slide switch, and etc., pass through use
Family Manual press or the sliding switch 16 are started.
Waistband body 30 is mainly that flexible material is made, and scalability is good, can be adapted to the user of different building shape, and soft
Property material comfortable wearing, use for a long time will not generate pressure and sense of discomfort to user's waist.In waistband body 30, setting
The piezoelectric transducer 11 and air bag 14 of anti-drowning self-rescuing device 10, the piezoelectric transducer 11 and air bag 14 are around waist
Band main body 30 is arranged.Wherein, the piezoelectric transducer 11 is piezoelectric film sensor, and frivolous and ductility is good, is used in waistband
In main body 30, the heavy feeling of waistband not will increase.301 are arranged on the inside of the tight attached waistband of the piezoelectric transducer 11, can be more clever
The physiological signal of quick acquisition user, and the piezoelectric transducer 11 is placed in waterproofing membrane 111, prevents from meeting water to piezoelectric sensing
Device 11 damages.In 11 outside of piezoelectric transducer, it is provided with air bag 14, the air bag 14 is micro- inflation shape
State, it is possible to reduce the relative motion of waistband 1 and user's waist enhances the anti-kinetic characteristic of piezoelectric transducer 11, makes piezoelectric sensing
The physiological signal that device 11 acquires user is more accurate, in use, air bag 14 after partial inflation is from 302 bullets on the outside of waistband
Out, when not in use, air bag 14 then restores micro- inflated condition.In waistband body 30, on the outside of on the inside of waistband 301 to waistband
On 302 directions, it is configured according to the sequence of waterproofing membrane 111, piezoelectric transducer 11, waterproofing membrane 111, air bag 14.
Specifically, referring to Fig. 2, Fig. 2 is a kind of knot for anti-drowning self-rescuing device that the utility model embodiment provides
Structure schematic diagram.
A kind of anti-drowning self-rescuing device 10, comprising: piezoelectric transducer 11, processing unit 12, controller 13 and air bag
14.The input terminal of processing unit 12 connects piezoelectric transducer 11, and output end connects controller 13,13 other end of controller connection peace
Full air bag 14.
The piezoelectric transducer 11 is used to acquire the physiological signal of user, and the physiological signal is sent to processing unit
12, the physiological signal that processing unit 12 is used to send the piezoelectric transducer 11 is handled, whether to judge the user
There are drowned situations, if the user has drowned situation, send drowned signal to controller 13, controller 13 is used for basis
The drowned signal that the processing unit 12 is sent sends control command to air bag 14, and air bag 14 is then for according to control
The control command that device 13 is sent is inflated.The anti-drowning self-rescuing device 10 passes through the physiological signal that piezoelectric transducer 11 acquires
(including breath signal and ballistocardiography signal) judges user's situation of drowning, and passes through control when there is drowned situation
Device 13 controls air bag 14 and opens, enable drowned user obtain it is timely, effectively save oneself.
Wherein, piezoelectric transducer 11 is to utilize sensor made of the piezoelectric effect generated after certain dielectric medium stresses.Institute
Meaning piezoelectric effect refer to certain dielectrics the external force by a direction and deformation occurs (including bending and it is retractable
Become) when, it, can be the phenomenon that its surface generates charge due to the polarization phenomena of internal charge.Also, it is big according to the external force of application
It is small, the different size of quantity of electric charge is generated, and export as electronic signals.In the utility model embodiment, piezoelectricity is utilized
Sensor 11 acquires the physiological signal of user, specifically: when human body is there are when vital signs activity, such as: heartbeat is exhaled
Inhale, body is dynamic etc., external force can be applied to piezoelectric transducer 11, at this moment, deformation occurs for piezoelectric transducer 11, and internal charge generates polarization
Phenomenon, surface generates charge, and exports as electronic signals, because human life feature movement has strong and weak variation, so that right
The external force that piezoelectric transducer 11 applies also changes, i.e., piezoelectric transducer 11 generates different degrees of deformation, and then influences electricity
Therefore the size of signal can embody human life spy by the changing rule of the collected electric signal of piezoelectric transducer 11
Movable variation is levied, which can be described as physiological signal.
In the utility model embodiment, the physiological signal includes breath signal and ballistocardiography
(Ballistocardiogram, BCG) signal, wherein in BCG signal, heart rate and heart rate variability can be extracted
(Heart Rate Variability, HRV) two features, by collected breath signal, heart rate signal and HRV signal
Carry out overall contrast analysis, drowned situation is judged, compared to it is traditional by comparator comparison pulse signal more subject to
Really, it reduces erroneous judgement situation to occur, improves the accuracy of anti-drowning self-rescuing device.
In some embodiments, the piezoelectric transducer 11 is piezoelectric film sensor, is a kind of using novel high score
Sensor made of sub- piezoelectric material --- Kynoar (PVDF), by stretching or being bent piezoelectric membrane, above and below film
Electric signal is generated between electrode surface, and the physiology of the characteristic acquisition user of different size electric signal is generated using different deformation degree
Signal, the deformation degree is proportional to electric signal size, and the deformation even generated is bigger, then the electric signal generated is then bigger.
For other piezoelectric transducers, piezoelectric film sensor is very sensitive to dynamic stress, applies a very little in the longitudinal direction
Power when, very big stress can be also generated in transverse direction, and if when applying same power to film large area, if the stress of generation
It can be much smaller.Piezoelectric film sensor sensitivity is extremely strong, and the physiological signal of user can be detected across housing, for example,
The key vital signs such as human pulse, breathing, heart rate, so acquiring the physiological signal energy of user using piezoelectric film sensor
Enough reduce error, improve the accuracy of signal acquisition, enable the user using anti-drowning self-rescuing device 10 it is accurate, in time,
Effectively realize drowned save oneself.
Referring to Fig. 3, in some embodiments, processing unit 12 includes: signal processor 121 and machine learning device
122。
121 input terminal of signal processor is connect with piezoelectric transducer 11, and output end is connect with machine learning device 122, described
Signal processor 121 include signal amplification circuit and filter circuit, for the collected physiological signal of piezoelectric transducer 11 into
Row amplification, filtering processing, removal interference, while characteristic signal, the adding window are extracted to filtered physiological signal adding window is amplified
Electric signal is switched to frequency domain specifically by Fourier transformation to analyze, characteristic signal, the feature letter are extracted with this
Number include breath signal, heart rate signal and HRV signal, extracted characteristic signal is sent to 122 carry out machine of machine learning device
Device study processing, so that the machine learning device 122 judges that user whether there is drowned situation.Such as: signal processor 121 with
Collected physiological signal is cut for unit within 10 seconds, then by the amplification of body surface signal, the filtering processing after cutting
Afterwards, feature extraction is carried out to physiological signal using wavelet transformation, extracts breath signal, heart rate signal and HRV signal.
122 one end of machine learning device is connect with signal processor 121, and one end is connect with controller 13, including storage is organic
The chip and accessory circuit of device learning method can extract the signal processor 121 according to the machine learning method
Characteristic signal carries out machine learning processing, to judge that user whether there is drowned situation, if there is drowned situation in the user,
Drowned signal is sent to controller 13.
In the utility model embodiment, user's situation of drowning is judged using support vector machines (SVM) method.
The SVM method is a series of applications about supervised learning in classification and recurrence, provides the data set of training sample, and will
These data sets are divided into two classes and are marked, and constitute a model, for predict that the sample newly obtained belongs in two classes which
Class.For the utility model, collects a large amount of human bodies and drown and the physiological signal in non-drowned situation, including respiration information,
Heart rate information and HRV information, cut the physiological signal with every 2s primary frequency, calculate separately drowned and non-drowned
Ratio under state under respiration information, heart rate information and HRV information and human body quiescent condition, and be labeled as drowning and non-drowned two
Kind classification, builds up model.
When in use, the machine learning device 122 is by the mould of signal processor 121 characteristic signal extracted and foundation
Type is compared, and judging that user is in drowned situation is also non-drowned situation, if sending out labeled as drowned situation to controller 13
Send drowned signal.
In some alternative embodiments, the machine learning method stored in machine learning device 122 can also be artificial
Neural network (ANN), decision tree (DT), Logic Regression Models (LR) etc..
Controller 13, one end are connect with processing unit 12, and one end is connect with air bag 14, are typically certain logic
The processor of operational capability, such as: single-chip microcontroller, microprocessor, CPU or air bag computer board etc..It can be according to processing unit 12
The drowned signal sent sends control command to air bag 14, controls the starting of air bag 14.
Air bag 14 is connect with controller 13, generally flexible rubber capsule, is poured compressed air, is utilized air
Compressibility realizes elastic reaction.It when receiving the control command of the transmission of controller 13, is then inflated, forms lifebuoy, tightly
User's waist is tied up, and allows users to emerge by buoyancy, realization is saved oneself.
Referring to Fig. 4, in some embodiments, anti-drowning self-rescuing device 10 further include:
Speech recognition device 15 is connect, for identification voice signal with controller 13, and judges to use according to the voice signal
Family whether there is drowned situation, if user has drowned situation, send drowned signal to controller 13, controller 13 is according to institute
It states drowned signal and sends the control command control unlatching of air bag 14 to air bag 14.The mode of increase speech recognition starts anti-
Drowning self-rescuing device 10 can timely prevent the appearance of drowned situation, because user has often occurred when generating drowned signal
Drowning truly, has certain risk.If increasing speech recognition, then user can lead to when discovery will drown
Cross the modes such as calling for help and start anti-drowning self-rescuing device 10, the occurrence of prevention is drowned, before realizing drowned occur, occur in equal energy
It saves oneself.
In the utility model embodiment, told speech recognition device 15 is using hidden Markov model (HMM) to some
Specific alone word is trained modeling, then by carrying out identification judgement to the voice signal being collected into, to determine whether
It needs to send drowned signal to controller 13.These specific alone words can be " help ", " help ", " messenger " etc..?
It, can also be according to the decibel of shriek and shriek to determine whether the anti-drowned dress of saving oneself of starting in some alternative embodiments
Set 10.
In some alternative embodiments, the modeling method in speech recognition device 15 can also be artificial neural network
(ANN), support vector machines (SVM) and etc..
Referring to Fig. 5, in some embodiments, anti-drowning self-rescuing device 10 further include:
Switch 16 is connect with controller 13, for generating switching signal and sending the switch letter to the controller 13
Number, controller 13 sends control command control air bag 14 to air bag 14 according to the switching signal and opens.Increase is opened
16 are closed, user can prevent drowned feelings by turning on the switch the anti-drowning self-rescuing device 10 of 16 startings manually when discovery will drown
The generation of condition is realized before drowning generation, can be carried out and save oneself in generation.
Referring to Fig. 6, anti-drowning self-rescuing device 10 further include: power supply (17) can be power module, for anti-drowned
Self-help apparatus 10 is powered.
In the following, the utility model will be specifically described with a specific example.
The waistband 1 that user A wearing is provided with anti-drowning self-rescuing device 10 is played to seashore, because of preventing for anti-drowned self-rescue belt
It is aqueous excellent, it can directly wear and plunge into the commercial sea.At this point, the piezoelectric film sensor in anti-drowned self-rescue belt acquires user A's in real time
Physiological signal, comprising: heart rate signal, BCG signal, and be sent in processing unit 12 in real time, at this point, being used because not drowning
Heart rate, the BCG of family A is in normal range (NR), and the machine learning device 122 in processing unit 12 is marked after judging as drowned mark
Label, at this point, processing unit 12 does not send drowned signal to controller 13, air bag 14 does not start；When user A encounter billow or
There is cramp phenomenon in person, when beginning with drowned omen, user can by 16 airbag opening 14 of manual start switch, or
" help ", the particular words such as " help " are issued, when speech recognition device 15 recognizes the word, and are judged as drowned signal trigger word
When remittance, drowned signal is sent to controller 13, controller 13 controls air bag 14 and opens, if also inactive anti-drowned waist of saving oneself
When band has just drowned serious, at this point, the changes in heart rate of user A can be more violent than under normal circumstances, and breath signal can accordingly weaken,
When machine learning device 122 receives such physiological signal, label is label after judging, at this point, processing is single
Member 12 sends drowned signal to controller 13, the inflation starting of air bag 14, holds up user A by buoyancy, and user A can be with
Wait for rescue personnel subsequent rescue or Wait-to-Restore after voluntarily return on the bank.It is provided using the utility model embodiment
Anti- drowning self-rescuing device 10 can realize drowned occur by voice control, manually opened, Automatic Detection and Control various ways
Before, drowned self-rescue function when occurring, meanwhile, carry out machine learning comparison using breath signal and BCG signal, drowned situation is sentenced
Break more accurate, can in time, effectively realize drowned save oneself.
The beneficial effect of the utility model embodiment is: being in contrast to the prior art, the utility model embodiment party
Formula provides a kind of anti-drowning self-rescuing device and waistband, comprising: piezoelectric transducer, processing unit, controller and air bag, it is described
Processing unit input terminal connects piezoelectric transducer, and output end connects controller, controller other end connecting safety air bag, by making
With piezoelectric transducer, the physiological signal of user can be more precisely acquired, specifically includes acquisition breath signal and ballistocardiography
Signal further carries out drowned situation by the physiological signal and determines to sentence than only carrying out drowned situation by pulse signal
It is fixed more acurrate, can in time, effectively realize drowned save oneself.
It should be noted that giving the preferable implementation of the utility model in the specification and its attached drawing of the utility model
Mode, still, the utility model can be realized by many different forms, however it is not limited to which this specification is described to be implemented
Mode, these embodiments are not as the additional limitation to the content of the present invention, the purpose of providing these embodiments is that making
It is more thorough and comprehensive to the understanding of the disclosure of the utility model.Also, above-mentioned each technical characteristic continues to be combined with each other, and is formed
The various embodiments not being enumerated above are accordingly to be regarded as the range of the utility model specification record；Further, to this field
For those of ordinary skill, it can be modified or changed according to the above description, and all these modifications and variations all should belong to
The protection scope of the appended claims for the utility model.
Claims (10)
1. a kind of anti-drowning self-rescuing device is applied to waistband, which is characterized in that including piezoelectric transducer, processing unit, controller
And air bag；
The piezoelectric transducer is used to acquire the physiological signal of user, and the physiological signal is sent to processing unit, wherein
The physiological signal includes breath signal and ballistocardiography signal；
The input terminal of the processing unit connects the piezoelectric transducer, and the output end of the processing unit connects the control
Device, the processing unit is for handling the physiological signal, to judge that the user whether there is drowned situation, if institute
It states user and there is drowned situation, then send drowned signal to the controller；
The drowned signal that the controller is used to be sent according to the processing unit sends control command to the air bag；
The air bag is connect with the controller, and the control command for being sent according to the controller is filled
Gas.
2. anti-drowning self-rescuing device according to claim 1, which is characterized in that the piezoelectric transducer is piezoelectric membrane biography
Sensor.
3. anti-drowning self-rescuing device according to claim 1, which is characterized in that the processing unit includes:
Machine learning device, the machine learning device are connect with controller, for carrying out machine learning processing to the physiological signal,
To judge that the user whether there is drowned situation, if the user has drowned situation, sent to the controller drowned
Signal.
4. anti-drowning self-rescuing device according to claim 3, which is characterized in that the processing unit further include:
Signal processor, the input terminal of the signal processor are connect with the piezoelectric transducer, the signal processor it is defeated
Outlet is connect with the machine learning device, for amplifying, filtering to the physiological signal before carrying out the processing of machine learning device
And feature signal extraction processing, and the characteristic signal of the extraction is sent to the machine learning device and is carried out at machine learning
Reason.
5. anti-drowning self-rescuing device according to claim 4, which is characterized in that the anti-drowning self-rescuing device further include:
Speech recognition device, institute's speech recognizer are connect with the controller, for identification voice signal, and according to the voice
Signal judges that the user whether there is drowned situation, if the user has drowned situation, sends and drowns to the controller
Water signal.
6. anti-drowning self-rescuing device according to claim 5, which is characterized in that the anti-drowning self-rescuing device further include:
Switch, the switch are connect with the controller, for generating switching signal and sending the switch to the controller
Signal；
The controller is also used to send the control command to the air bag according to the switching signal described to control
Air bag is opened.
7. anti-drowning self-rescuing device according to claim 6, which is characterized in that the anti-drowning self-rescuing device further include:
Power supply, for powering to the anti-drowning self-rescuing device.
8. a kind of waistband, including belt buckle, waistband body, which is characterized in that further include claim 1-7 described in any item anti-
Drowning self-rescuing device.
9. waistband according to claim 8, which is characterized in that the piezoelectric transducer and air bag are according to by waistband
Sequence on the outside of side to waistband is set to inside the waistband body.
10. waistband according to claim 9, which is characterized in that the piezoelectric transducer is placed in waterproofing membrane.
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|---|---|---|---|
| CN201721859238.5U CN208876535U (en) | 2017-12-26 | 2017-12-26 | A kind of anti-drowning self-rescuing device and waistband |
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| CN201721859238.5U CN208876535U (en) | 2017-12-26 | 2017-12-26 | A kind of anti-drowning self-rescuing device and waistband |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110215190A (en) * | 2019-06-09 | 2019-09-10 | 中国人民解放军海军特色医学中心 | A kind of device having vital signs detecting and positioning function |
| CN111547209A (en) * | 2020-05-22 | 2020-08-18 | 合肥利元杰信息科技有限公司 | Drowning prevention safety guarantee method, device and system |
| CN114735165A (en) * | 2022-03-08 | 2022-07-12 | 三峡大学 | Intelligent underwater lifesaving system and drowning detection and rescue method |
-
2017
- 2017-12-26 CN CN201721859238.5U patent/CN208876535U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110215190A (en) * | 2019-06-09 | 2019-09-10 | 中国人民解放军海军特色医学中心 | A kind of device having vital signs detecting and positioning function |
| CN111547209A (en) * | 2020-05-22 | 2020-08-18 | 合肥利元杰信息科技有限公司 | Drowning prevention safety guarantee method, device and system |
| CN114735165A (en) * | 2022-03-08 | 2022-07-12 | 三峡大学 | Intelligent underwater lifesaving system and drowning detection and rescue method |
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Address after: 518000 Guangdong science and technology innovation and Research Institute, Shenzhen, Shenzhen, Nanshan District No. 6, science and technology innovation and Research Institute, Shenzhen, D 10, 1004, 10 Patentee after: Shenzhen Hetai intelligent home appliance controller Co.,Ltd. Address before: 518000 Guangdong science and technology innovation and Research Institute, Shenzhen, Shenzhen, Nanshan District No. 6, science and technology innovation and Research Institute, Shenzhen, D 10, 1004, 10 Patentee before: SHENZHEN H&T DATA RESOURCES AND CLOUD TECHNOLOGY Ltd. |
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