CN114419761A - Intelligent door lock and control method thereof - Google Patents
Intelligent door lock and control method thereof Download PDFInfo
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- CN114419761A CN114419761A CN202111489767.1A CN202111489767A CN114419761A CN 114419761 A CN114419761 A CN 114419761A CN 202111489767 A CN202111489767 A CN 202111489767A CN 114419761 A CN114419761 A CN 114419761A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05B—LOCKS; ACCESSORIES THEREFOR; HANDCUFFS
- E05B47/00—Operating or controlling locks or other fastening devices by electric or magnetic means
- E05B47/0001—Operating or controlling locks or other fastening devices by electric or magnetic means with electric actuators; Constructional features thereof
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05B—LOCKS; ACCESSORIES THEREFOR; HANDCUFFS
- E05B9/00—Lock casings or latch-mechanism casings ; Fastening locks or fasteners or parts thereof to the wing
- E05B9/002—Faceplates or front plates
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00944—Details of construction or manufacture
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- Mechanical Engineering (AREA)
- Lock And Its Accessories (AREA)
Abstract
The embodiment of the application discloses control method of intelligence lock and intelligence lock, this intelligence lock includes: the control device and the at least one friction nanometer generator are electrically connected with the control device and used for generating electric signals and transmitting the electric signals to the control device, and the control device carries out identity verification on a target user according to the at least one electric signal transmitted by the at least one friction nanometer generator so as to realize unlocking control. Through set up the friction nanometer generator in intelligent lock, can utilize the user to realize unlocking control with the signal of telecommunication that friction nanometer generator contact generated, and because speed, acceleration, area of contact etc. when different users and friction nanometer generator contact have uniqueness, make the signal of telecommunication that generates have the uniqueness, can the sign user, and because the signal of telecommunication that the contact generated can't imitate or by other people's duplication, consequently, the security that uses the signal of telecommunication that friction nanometer generator generated to carry out unlocking control is good.
Description
Technical Field
The application relates to the technical field of security protection, in particular to an intelligent door lock and a control method of the intelligent door lock.
Background
The door lock is an indispensable part in family life, and traditional door lock utilizes key machinery to unblank, however if the key loses, can cause the trouble that can't unblank, along with the development and the intelligent popularization of door lock, traditional door lock is gradually replaced by intelligent door lock, for example, the use of various intelligent door locks based on password unblank is more and more extensive.
Wherein, the security that the password was unblanked is low, just faces the risk of stealing after the password is revealed, and the security is poor, consequently, the intelligent lock that a security is good is waited for to propose.
Disclosure of Invention
The main purpose of the application is to provide an intelligent door lock and a control method of the intelligent door lock, and the intelligent door lock and the control method are used for solving the problem that in the prior art, the safety of password unlocking is poor.
To achieve the above object, a first aspect of the present application provides an intelligent door lock, comprising: a control device and at least one friction nanogenerator;
the friction nano generator is electrically connected with the control device and is used for generating an electric signal and transmitting the electric signal to the control device when the friction nano generator is contacted with a target user;
the control device is used for carrying out identity verification on the target user according to at least one electric signal transmitted by at least one friction nano generator so as to realize unlocking control.
Optionally, the triboelectric nanogenerator comprises at least: electrode slice and triboelectric material, intelligence lock still includes: a front cover;
the electrode plate is arranged on the surface of the front cover, the triboelectric material covers the surface of the electrode plate, and the electrode plate is electrically connected with the control device.
Optionally, the front cover is provided with a password key board, the electrode sheet covers the surface of the password key board, and the electric signal is an electric signal generated when the target user inputs a password on the triboelectric material.
Optionally, the password key board includes a plurality of password keys, the intelligent door lock includes a plurality of friction nanometer generators and all with controlling means electricity is connected, every friction nanometer generator among a plurality of friction nanometer generators corresponds the setting and is in every password key surface among a plurality of password keys.
Optionally, the intelligent door lock further comprises: an energy storage device;
the energy storage device is electrically connected with the control device and used for transmitting an electric signal generated by the friction nano generator to the storage device through the control device when the electric energy of the energy storage device is smaller than a preset value so as to charge the energy storage device.
A second aspect of the present application provides a control method for an intelligent door lock, which is applied to the intelligent door lock in the first aspect, and the method includes:
receiving at least one electrical signal transmitted by at least one of the friction nanogenerators;
and carrying out identity verification on the target user according to the electric signal so as to realize unlocking control.
Optionally, the performing identity authentication according to the electrical signal to realize unlocking control includes:
when the number of the electric signals is one, or when the number of the electric signals is multiple and the electric signals are spliced into one electric signal, determining the number of wave crests of the electric signals;
when the number is equal to a preset threshold value, extracting a characteristic vector according to the electric signal to obtain a target characteristic vector of the target user;
and according to the target characteristic vector of the target user, performing identity verification on the target user to determine whether to unlock.
Optionally, the extracting a feature vector according to the electrical signal to obtain a target feature vector of the target user includes:
performing feature extraction on the electric signal to obtain feature data of the target user;
and inputting the feature data into a trained support vector machine model to obtain the target feature vector of the target user output by the support vector machine model.
Optionally, the performing feature extraction on the electrical signal to obtain feature data of the target user includes:
processing the electric signal by utilizing a wavelet packet decomposition method to obtain sub-band energy characteristics of the electric signal;
and reducing the dimensionality of the sub-band energy characteristic to a preset dimensionality by adopting a principal component analysis method to obtain the characteristic data of the target user.
Optionally, the performing identity authentication on the target user according to the target feature vector of the target user to determine whether to unlock the lock includes:
searching template feature vectors of registered users, and if template feature vectors matched with the target feature vectors exist, determining that the target users pass identity authentication and controlling the intelligent door lock to be opened;
and if the template characteristic vector matched with the target characteristic vector does not exist, determining that the target user does not pass the identity authentication, and not executing unlocking.
The embodiment of the application has the following advantages or beneficial effects:
the application provides an intelligence lock, this intelligence lock includes: the control device is used for carrying out identity verification on the target user according to at least one electric signal stated by at least one friction nano generator so as to realize unlocking control. Through set up the friction nanometer generator in intelligent lock, make the signal of telecommunication that generates when can utilize user and friction nanometer generator to contact realize unlocking control, and because the speed when different users and friction nanometer generator contact, area of contact (for example, the shape of finger is different, the area when finger and friction nanometer generator contact is also different) etc., can make the signal of telecommunication that generates have the uniqueness, can mark the user, make and utilize the signal of telecommunication effectively to realize unblanking, and because the signal of telecommunication that the contact generated is unable imitate or by other people's duplication, therefore, the security that the signal of telecommunication that uses the friction nanometer generator to generate unblanked control is good.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a schematic structural diagram of an intelligent door lock in an embodiment of the present application;
FIG. 2 is an exploded view of an intelligent door lock in an embodiment of the present application;
FIG. 3 is a schematic diagram of a triboelectric nanogenerator in an embodiment of the application;
FIG. 4 is another schematic diagram of an intelligent door lock according to an embodiment of the present application;
FIG. 5 is a schematic flowchart of a control method of an intelligent door lock according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a current signal generated by a friction nanogenerator in an embodiment of the application;
FIG. 7 is a schematic diagram of a voltage signal generated by a triboelectric nanogenerator in an embodiment of the application;
FIG. 8 is another schematic flow chart of a control method of the intelligent door lock according to the embodiment of the present application;
fig. 9 is a schematic diagram of a control program device of the intelligent door lock in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the embodiment of the present application, a Triboelectric nanogenerator (TENG) is used in the smart door lock, and an electrical signal generated when a target user contacts the Triboelectric nanogenerator is used to authenticate the target user, so as to control whether the smart door lock is opened.
Specifically, please refer to fig. 1, which is a schematic structural diagram of an intelligent door lock in an embodiment of the present application, the intelligent door lock includes: the system comprises a control device 101 and at least one friction nano generator 102 (1 is illustrated in fig. 1 as an example), wherein the friction nano generator 102 is electrically connected with the control device 101, the friction nano generator 102 is used for generating an electric signal and transmitting the electric signal to the control device 101 when contacting with a target user, and the control device 101 is used for authenticating the target user according to the electric signal transmitted by the at least one friction nano generator to realize unlocking control. It should be noted that, if the intelligent door lock includes a plurality of friction nano-generators, the users do not need to contact each of the friction nano-generators when contacting, but can contact the parts of the friction nano-generators, for example, the intelligent door lock includes 9 friction nano-generators, and the users sequentially contact 6 of the friction nano-generators during the contacting process, and then the 6 friction nano-generators respectively send the generated 6 electrical signals to the control device.
The control device 101 may be a chip, a processor, a microprocessor, or other devices with data processing performance, and can call and execute an application program in a storage medium to perform authentication on a target user according to an electrical signal, so as to achieve the purpose of unlocking control.
The target user refers to a user contacting with the friction nano-generator 102, and the target user may specifically use fingers, palms, other body parts, and the like to contact with the friction nano-generator 102, and in practical applications, the user may select a position where the user needs to use to contact with the friction nano-generator 102, which is not limited herein.
Further, the above-mentioned friction nanogenerator comprises at least: electrode slice and triboelectric material, intelligence lock still includes the protecgulum.
It will be appreciated that the smart door lock includes a front cover and a rear cover, wherein the front cover and the rear cover form an outer shell of the smart door lock, and typically, after the smart door lock is mounted on the door, part or all of the front cover is exposed to the air and visible to the user. The electrode plate of the friction nano generator is arranged on the surface of the front cover, the triboelectric material covers the electrode plate, and the friction nano generator can be obtained by overlapping the electrode plate and the triboelectric material, and the surface of the friction nano generator where the electrode plate is arranged is fixed with the front cover, so that a user can contact with the triboelectric material. Fig. 2 is an exploded view of an intelligent door lock with a friction nano-generator according to an embodiment of the present disclosure, specifically, an exploded view of a door lock body (including a front cover), an electrode plate, and a triboelectric material. It can be understood that the mechanical structure of the intelligent door lock is not limited in the embodiments of the present application, and the intelligent door lock that can use the friction nano generator is within the protection scope of the present application.
The triboelectric material is made of a triboelectric nanomaterial, and the triboelectric nanomaterial can be made of: transition group metal chalcogenides, for example: molybdenum disulfide (MoS2), Polydimethylsiloxane (PDMS) material, etc., and the transition group metal chalcogenide represented by MoS2 is bonded by strong covalent bonds in the layers and weak van der waals force between the layers due to its unique layered structure, so that the layers are easy to shear and slip, and thus have very good tribological properties.
In order to better understand the technical solution in the embodiment of the present application, the following will describe the principle of the friction nano-generator 102, specifically: the friction nanogenerator 102 comprises an electrode plate and a triboelectric material, wherein the electrode plate and the triboelectric material are two different materials, in the friction process of the two different materials, the surface parts of the materials form chemical bonds, charges can be transferred from one material to the other material, and the transfer charge quantity of the charges is equal to the electrochemical potential energy of the materials. When the two materials are not rubbed, some atoms will bind the outer electrons, and others will be released, which will generate triboelectric charges on the surfaces of the two materials, which will form an electric signal, and the electric signal will be transmitted to the control device 101 along with the wires. It is understood that in the embodiment of the present application, a touch operation such as a pressing operation, a dragging operation, and the like of a finger of a user on the triboelectric material triggers friction between the triboelectric material and the electrode pad to generate an electrical signal. Specifically, referring to fig. 3, which is a schematic diagram of a principle of a friction nanogenerator in an embodiment of the present application, as shown in fig. 3, after a finger presses on a triboelectric material, the triboelectric material and an electrode plate generate friction, and since negative charges are formed on the finger, positive charges are accumulated on the triboelectric material, and negative charges are accumulated on the electrode plate, so that a negative electrical signal is generated and transmitted to the control device 101 through a wire.
It should be noted that the electrical signals generated by different users are different, the personal characteristics and habits of the users will influence the characteristics of the generated electrical signals, for example, the speed, acceleration, contact area, etc. of the users performing touch operations on the friction nano-generator will all influence the characteristics of the generated electrical signals comprehensively, and the inventor has verified through experiments that the characteristics of the electrical signals of one user are relatively stable, and the electrical signals formed by different people are different, so that the characteristics of the electrical signals of the users are unique and can be used for identifying the users so as to realize identity verification.
Furthermore, the intelligent door lock in the embodiment of the application can realize unlocking control based on the friction nanometer generator, and can be combined with the existing unlocking mode to further improve the unlocking safety, for example, the intelligent door lock can be combined with a password unlocking mode, a fingerprint unlocking mode and the like to unlock. To illustrate with combination with password unlocking, the front cover may be further provided with a password key pad, which may be a touch pad, and when the touch pad is powered on, the touch pad may display keys from 0 to 9, so that the user may input a password. A friction nanometer generator 102 may be provided, an electrode plate of the friction nanometer generator 102 covers the surface of the password key board, and a triboelectric material of the friction nanometer generator 102 covers the surface of the electrode plate, so that the coverage of the friction nanometer generator 102 is greater than or equal to the range of the password key board, so that the input operation of a user on the password key board can be realized on the friction nanometer generator, and an electrical signal is generated at the same time.
In another possible implementation manner, the intelligent door lock may further include a plurality of friction nano-generators 102, and each friction nano-generator 102 is electrically connected to the control device 101, so that an electrical signal generated by each friction nano-generator 102 may be sent to the control device 101, and the password key board includes a plurality of password keys, where each friction nano-generator in the plurality of friction nano-generators 102 is correspondingly disposed on a surface of each password key in the plurality of password keys. Wherein, the layout mode of the friction nanometer generator is the same as the layout mode of the password key, for example, in a feasible layout mode, the multiple friction nanometer generators 102 are arranged on the password key board in an array form, one friction nanometer generator 102 is arranged on the surface of one password key on the password key board, the friction nanometer generator 102 and the password key have a one-to-one correspondence relationship, for example, if the password key board can display 10 numbers, 0 to 9, and the display mode is 4 rows and 3 columns, and the last row displays one number, 10 friction nanometer generators are needed, and the 10 friction nanometer generators are respectively arranged above the display position of 10 numbers, so that when a user presses the numbers, not only the input of the numbers can be realized, but also the electric signals generated by the pressing operation can be obtained, so as to carry out password verification by using the input numbers, and identity authentication is carried out based on the generated electric signal so as to realize multiple authentication of unlocking and improve safety.
Please refer to fig. 4, which is another schematic diagram of the intelligent door lock according to the embodiment of the present application, as shown in fig. 4, an explosion diagram of a partial structure of the intelligent door lock includes a front cover, a friction nano-generator, wherein the front cover includes a password key board and a password trigger module matching with the password key board, the friction nano-generator includes an electrode sheet and a triboelectric material, and further includes a lock core, wherein the password key board is disposed on a surface of the password trigger module, the electrode sheet is disposed on a surface of the password key board, the friction nano-motor sheet is stacked on the electrode sheet, a user can input a password on the surface of the triboelectric material based on a number displayed on the password key board by the password trigger module, and the password trigger module transmits a corresponding number to a control device (not shown in the figure) in response to the entering and exiting operation, so that the control device can obtain the password input by the user, and at the in-process of input operation, take place the friction between triboelectric material and the electrode slice, will generate the signal of telecommunication, and this signal of telecommunication will pass through the wire and transmit controlling means to controlling means can carry out password verification according to the password of user input and the signal of telecommunication that generates, and the signal of telecommunication verifies, and the control is unblanked after dual verification passes, can effectively improve the security of unblanking.
Further, since a user may generate an electrical signal when contacting with the triboelectric material of the friction nano-generator 102, the electrical signal may be a current signal and/or a voltage signal, and may be used for charging, in a feasible implementation manner, please refer to fig. 4, which is a schematic diagram of a structure of the intelligent door lock in the embodiment of the present application, including the control device 101 shown in fig. 1, the friction nano-generator 102, and further including an energy storage device 401, wherein the friction nano-generator 102 is electrically connected to the control device 101, and the friction nano-generator 102 is further connected to the energy storage device 401, and is used for charging the intelligent door lock.
The energy storage device 401 is used for supplying power to the whole intelligent door lock, so that when a user inputs a password and/or contacts with the friction nano generator, the input password and/or the generated electric signal can be transmitted to the control device 101 in the intelligent door lock, the password and/or the electric signal are verified by the control device 101, and unlocking is controlled under the condition that the verification is passed.
It can be understood that the energy storage device 401 has the minimum power supply electric energy, that is, when the electric energy in the energy storage device is smaller than a certain value, the energy storage device 401 stops supplying power, in this case, the intelligent door lock cannot realize the unlocking control through the password and/or the friction nano-generator 102, in order to realize the unlocking control, a user may generate an electric signal in a manner of contacting with a triboelectric material of the friction nano-generator 102, and charge the energy storage device 401 by using the electric signal. Specifically, the remaining electric energy when the energy storage device 401 stops supplying power can be set to be the first electric energy, the electric energy when the energy storage device starts supplying power is the second electric energy, and the second electric energy is larger than the first electric energy, therefore, when the electric energy of the energy storage device 401 is reduced to the first electric energy, the energy storage device 401 stops supplying power, at this time, the user can charge the energy storage device 401 in a manner of contacting the friction nano generator 102, when the electric energy of the energy storage device reaches the second electric energy, the energy can be supplied, and when the electric energy is reduced to the first electric energy again, the power supply will be stopped, therefore, the user can enable the electric energy of the energy storage device 401 to reach the second electric energy based on the friction nano generator 102, and unlock the electric energy corresponding to the difference between the second electric energy and the first electric energy, when the energy storage device 401 is not supplied with power, the user can unlock in a short time, and user experience is better. It should be noted that, during the process of charging the energy storage device 401, the electrical signal generated by the friction nano-generator 102 may be transmitted to the energy storage device 401, so as to charge the energy storage device. In a feasible implementation manner, if it is determined through an experimental manner that the electrical signal transmitted by the friction nano-generator 102 is smaller than a preset threshold, in order to better implement charging of the energy storage device, when a circuit of the energy storage device is designed, a parallel switch device may be disposed on the control device 101, where the switch device is in an open state when the energy storage device 401 is powered, and is in a closed state when the energy storage device 401 is not powered, and is also in a closed state when the energy storage device 401 is charged, so that when the energy storage device is charged, the switch device is in the closed state, the control device 101 is in a short circuit, and transmits the electrical signal as a wire, so as to avoid loss caused by transmission of the electrical signal by the control device 101.
In this application embodiment, through set up the friction nanometer generator in intelligent lock, make the signal of telecommunication that generates when can utilize user and friction nanometer generator to contact realize unlocking control, and because the speed when different users and friction nanometer generator contact, area of contact (for example, the shape of finger, area when finger and friction nanometer generator contact, skin dryness) etc. can make the signal of telecommunication that generates have the uniqueness, can the sign user, make and utilize the signal of telecommunication effectively to realize unblanking, and because the signal of telecommunication that the contact generated can't imitate or by other people's duplication, consequently, the security that uses the signal of telecommunication that the friction nanometer generator generated to carry out unlocking control is good.
In order to better understand the technical solution in the embodiment of the present application, a control method of the intelligent door lock will be described below based on the intelligent door lock in the above embodiment, please refer to fig. 5, which is a schematic flow diagram of the control method of the intelligent door lock in the embodiment of the present application, and includes:
501, receiving at least one electric signal transmitted by at least one friction nano generator;
and 502, carrying out identity authentication on the target user according to the electric signal to realize unlocking control.
In the embodiment of the application, the control method of the intelligent door lock is implemented by a control device 101 in the intelligent door lock, a storage medium is arranged in the intelligent door lock, a computer program is arranged in the storage medium, the control device 101 can call the computer program in the storage medium to implement the control method, specifically, when a user needs to unlock, the user can use a finger to contact with a triboelectric material of a friction nano generator 102 of the intelligent door lock, the contact action enables the friction nano generator to generate an electric signal, the electric signal is transmitted to the control device 101 through a wire, the control device 101 can receive the electric signal transmitted by the friction nano generator 102, and the target user is authenticated according to the electric signal to implement unlocking control.
Wherein, if intelligence lock contains a friction nanometer generator, then controlling means 101 can receive an electric signal that this friction nanometer generator generated, if this intelligence lock contains N friction nanometer generators, and the user uses the finger to carry out M times contact respectively with M friction nanometer generator in proper order respectively, then controlling means 101 can receive the electric signal that M friction nanometer generator sent respectively, obtains M electric signals, and M is less than or equal to N.
Based on the foregoing description, since the personal characteristics and habits of the user are different, and the personal characteristics and habits are difficult to imitate and copy, it is difficult for other people or other devices except the user to repeatedly copy the electric signal generated when the user contacts the intelligent door lock, so that the safety performance is very high, and the unlocking experience of the user can be effectively improved.
The electric signal may be a current signal or a voltage signal, and in practical application, the current signal or the voltage signal may be selected according to specific needs to authenticate the target user, so as to achieve unlocking control.
Please refer to fig. 6, which is a schematic diagram of a current signal generated by a friction nano-generator in the embodiment of the present application, it should be noted that the current signal in fig. 6 is described based on the intelligent door lock shown in fig. 4 as an example, and the intelligent door lock includes a friction nano-generator, wherein a user generates the current signal while inputting a password, as shown in fig. 6, a horizontal axis represents time, and a vertical axis represents a magnitude of a short-circuit current, and first to sixth represent that the user makes contact with the friction nano-generator for the second time, for example, sixth contact, respectively, and a waveform diagram in fig. 4 represents the current signal generated by the user making contact with the friction nano-generator for 6 times. As can be seen from fig. 6, when the user's finger is not in contact with the triboelectric nanogenerator, the value of the short-circuit current is 0, when a user contacts the friction nano-generator for the first time, the friction nano-generator is enabled to reach a negative maximum short-circuit current (namely, a corresponding peak value in figure 4) in a short time, and under the state that the finger keeps contact with the friction nano generator, the short-circuit current generated by the friction nano generator is gradually reduced and approaches to 0, when the user's finger leaves the friction nano-generator, the friction nano-generator will generate a maximum short-circuit current in a positive direction in a short time, and after reaching the maximum short-circuit current, will gradually decrease and approach to 0, at this time, that is, one touch of the finger of the user with the friction nano-generator is completed, and the same process is performed for the other 5 touches.
Please refer to fig. 7, which is a schematic diagram of a voltage signal generated by a friction nano-generator in the embodiment of the present application, it should be noted that the voltage signal in fig. 7 is also described based on the intelligent door lock shown in fig. 4 as an example, and the voltage signal can be understood as a voltage signal corresponding to the current signal described in fig. 6, and a change principle of the voltage signal is similar to a change of the current signal, which may specifically refer to the content related to fig. 6, and is not repeated here. It will be appreciated that the voltage variation is sensitive to the current variation and is subject to fluctuations, and therefore, when the short circuit current approaches 0 or equals 0 in fig. 7, the voltage signal still has small fluctuations which are negligible in practical applications.
For better understanding the control method of the intelligent door lock in the embodiment of the present application, please refer to fig. 8, which is another schematic flow chart of the control method of the intelligent door lock in the embodiment of the present application, including:
and step 804, performing identity authentication on the target user according to the target characteristic vector of the target user, and determining whether to unlock the lock.
In the embodiment of the application, considering that the electrical signal generated by once contact between the finger of the user and the friction nanogenerator includes a positive wave and a negative wave, the features that can be extracted are limited, in order to improve the accuracy of authentication, the number of times of contact between the finger of the user and the friction nanogenerator when the user unlocks can be set, for example, 3 times, 4 times, 5 times, 6 times and the like of contact can be set, and in practical application, the number of times can be set as a default of a system, or can be set by the user in advance, which is not limited herein.
It should be noted that if the smart door lock uses one friction nanogenerator, an electrical signal is generated, as shown in fig. 6, which is a current signal generated when a finger of a user makes 6 contacts with the friction nanogenerator when the smart door lock uses one friction nanogenerator. If intelligence lock uses a plurality of friction nanometer generators, then user's finger can contact with a plurality of wherein to generate a plurality of signals, if need unblank and verify, then need splice these a plurality of signals earlier, splice into a signal of telecommunication and use, the purpose of concatenation is so that when the eigenvector draws, the relation of the generation time between the different signals of telecommunication also can influence the eigenvector of drawing, and because the generation time between the different signals of telecommunication is mainly because user's custom or other characteristic decision, make the eigenvector of drawing more can embody user's characteristic, improve the accuracy of drawing the characteristic.
Wherein, the splicing mode can be: determining the generation time and the end time of the electric signals generated by each contact, extracting partial signals between the generation time and the end time from each electric signal, based on a current curve with the short-circuit current of 0, eliminating curve sections of the generation time and the end time of the target electric signal in the current curve according to the generation time and the end time of the target electric signal, splicing the partial signals of the target electric signal to the position of the curve sections in the current curve to realize the splicing of one electric signal.
In order to determine whether the number of times of contact between the finger of the user and the friction nano generator meets the requirement, when the number of the electric signals is 1, or when the number of the electric signals is multiple and the multiple electric signals are spliced into one electric signal, the number of wave crests of the electric signals can be determined, and when the number is equal to a preset threshold value, the requirement of the number of times of contact is met, and when the number is not equal to the preset threshold value, the requirement of the number of times of contact is not met. The preset threshold is related to the preset number of contacts, for example, if the preset number of contacts is 6, the preset threshold is 12, that is, the preset threshold is twice the number of contacts.
When the number of the wave crests of the electric signal is not equal to the preset threshold value, a prompt message can be output to prompt the user that the input is wrong, so that the user can input the electric signal again.
When the number of the wave crests of the electric signal is equal to the preset threshold value, extracting the characteristic vector according to the electric signal to obtain the target characteristic vector of the target user.
The method specifically comprises the following steps:
step a: extracting the characteristics of the electric signals to obtain characteristic data of a target user;
step b: and inputting the feature data into a trained Support Vector Machine (Support Vector Machine) model to obtain a target feature Vector of the target user output by the SVM model.
For step a, the electrical signal may be processed by a wavelet packet decomposition method to obtain a sub-band energy characteristic of the electrical signal, where when the wavelet packet decomposition method is used, a Meyerwavalet (Meyerwavalet) may be selected for decomposition, and the constructed sub-band energy characteristic may be a 3-layer characteristic data set.
After the sub-band energy features are obtained, the sub-band energy features are subjected to dimensionality reduction by using a principal component analysis method, and the sub-band energy features are reduced to a preset dimensionality to obtain feature data of the target user, wherein the features with high recognition degree can be obtained in a dimensionality reduction mode, for example, the preset dimensionality can be 24 x 24.
In the step b, the SVM model may implement the nonlinear classification of the feature data, and the radial basis function may be selected as a kernel function used in the SVM model, and the classification decision parameter and the kernel parameter in the SVM model may be set in a training manner.
In one possible implementation, the SVM model training method may include: due to the complexity of the finger trigger signal and the inseparability, it is necessary to project the sample data to a high-dimensional space by using a kernel function, so that the trigger signal becomes separable, reduce the calculated amount by using the kernel function, then convert the linearly separable signal into a convex optimization problem, arrange the signals, set a partition plane, a training set, a target value and a classification of new data, derive the target function according to the new data, solve the minimum maximum problem by using a lagrange multiplier method to solve a partial derivative, and obtain a classification decision function, i.e., an SVM model f (x) -sign (w x + b), wherein sign () is a step function, w represents a multidimensional vector, b represents a mean value of a support vector, which may be a real number, and x represents a point included in a point set in a multidimensional euclidean space. The trained support vector machine can be set before the intelligent door lock leaves a factory.
It can be understood that the wavelet packet decomposition method, the principal component analysis method and the SVM model belong to a machine learning method, and in practical application, other machine learning methods can be used for processing the electric signal to obtain a target feature vector of a target user, so that the friction nano generator can be combined with machine learning to be further applied to the intelligent door lock, and the safety of the intelligent door lock is improved.
In the embodiment of the application, after the target characteristic vector of the target user is obtained, the target user is subjected to identity verification according to the target characteristic vector of the target user, and whether unlocking is performed or not is determined.
It can be understood that, for a user who can unlock the lock, the feature vector of the user needs to be preset, that is, a pre-registration process is performed, and the registration process may be: the user contacts the friction nano-generator according to the preset number of contacts to generate the registration electric signal, and the template feature vector of the registration electric signal can be obtained according to the step 803, and the template feature vector is stored in the storage medium. Furthermore, the template feature vector may be a comprehensive vector, or may be a vector corresponding to each contact, and in practical applications, the form of the feature vector output by the SVM model may be selected accordingly, which is not described herein again.
Therefore, when the target user is authenticated according to the target feature vector of the target user, the template feature vector of the registered user can be searched, if the template feature vector matched with the target feature vector exists, the target user is determined to pass the authentication, the intelligent door lock can be controlled to be opened, if the template feature vector matched with the target feature vector does not exist, the target user is determined not to pass the authentication, the door lock is not opened, and prompt information is output.
In this embodiment of the present application, for a registered user, if a comprehensive template feature vector is stored, a target feature vector of the target user is also a comprehensive feature vector, and similarities between the target feature vector and each template feature vector may be calculated to determine whether the target feature vector matches the target feature vector, and if the maximum similarity is greater than or equal to a preset similarity value, for example, 98%, it is determined that a matched template feature vector exists, the target user is a registered user, and if the maximum similarity is less than the preset similarity value, it is determined that a matched template feature vector does not exist, and the target user is unregistered and fails in verification. If the template feature set of the user is stored, and the set comprises a plurality of template feature vectors which are sequentially arranged according to a contact sequence, similarity calculation can be performed on the target feature vector of the target user and the template feature vectors in the set of each user according to the contact sequence, for example, similarity calculation is performed on the vector corresponding to the first contact in the target feature vector and the template feature vector corresponding to the first contact in the set of the users, so that a plurality of similarities can be calculated, the minimum similarity is selected as the similarity between the user and the target user and is used as a reference similarity, further, the maximum similarity is selected from the reference similarities, if the maximum similarity is greater than or equal to a preset similarity value, it is determined that a matched user exists, the target user passes identity verification, and if the maximum similarity is less than the preset similarity, it is determined that there is no matching user and the target user is not authenticated.
It should be noted that the number of times of contact between the finger of the user and the friction nanogenerator may also be combined with password verification, where the number of times of contact may be the number of digits of the password, for example, when the number of times of contact is 6, the number of digits of the password may be set to 6, and the same user needs to register the password and the template feature vector at the same time during registration, so that the password verification and the electrical signal verification can be combined to verify the identity of the user, thereby further improving the security of the verification.
Specifically, before step 803, that is, when it is determined that the number of peaks is equal to the preset threshold, a target password input by the target user is matched with a password of a registered user, if a password identical to the target password exists, a template feature vector of the user with the same password is matched with a target feature vector of the target user, if the feature vector is a comprehensive vector, if the similarity is greater than or equal to a preset similarity value, it is determined that the authentication of the target user is passed, if the similarity is less than the preset similarity value, it is determined that the authentication of the target user is not passed, or, if the feature vector is a plurality of vectors arranged in a contact order, similarity calculation is performed on the template feature vector of the same number of contacts of the user with the same password for each contact, and the minimum similarity is selected from the obtained similarities, and if the minimum similarity is greater than or equal to a preset similarity value, determining that the target user identity authentication is passed, and if the minimum similarity is less than the preset similarity, determining that the target user identity authentication is not passed.
In this application embodiment, through set up the friction nanometer generator in intelligent lock, make the signal of telecommunication that generates when can utilize user and friction nanometer generator to contact realize the control of unblanking, and because the speed when different users and friction nanometer generator contact, area of contact, skin state etc. have the uniqueness, can make the signal of telecommunication that generates have the uniqueness, can mark the user, make and utilize the signal of telecommunication to effectively realize unblanking, and because the signal of telecommunication that the contact generated can't imitate or by other people's duplication, consequently, the signal of telecommunication that uses the friction nanometer generator to generate is unblanked the security of control good.
In an embodiment, a computer device is proposed, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the above-described method embodiments.
In an embodiment, a computer-readable storage medium is proposed, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the individual steps of the above-mentioned method embodiments.
In the embodiment of the application, a control device of the intelligent door lock is also provided, the control device is a program module and can be stored in a storage medium of the intelligent door lock, and the control device in the intelligent door lock can be called and operated to realize the control method of the intelligent door lock.
Specifically, please refer to fig. 9, which is a schematic structural diagram of a control device of an intelligent door lock in an embodiment of the present application, where the control device includes:
the receiving module 901 is used for receiving the electric signal transmitted by the friction nano-generator;
and the verification module 902 is configured to perform identity verification on the target user according to the electrical signal to achieve unlocking control.
Further, the verification module 902 includes:
the determining module is used for determining the number of wave crests of the electric signals when the number of the electric signals is one, or when the number of the electric signals is multiple and the electric signals are spliced into one electric signal;
the extraction module is used for extracting the characteristic vectors according to the electric signals when the number of the electric signals is equal to a preset threshold value to obtain target characteristic vectors of target users;
and the identity authentication module is used for authenticating the identity of the target user according to the target characteristic vector of the target user and determining whether to unlock the lock.
Wherein, the extraction module is specifically configured to: extracting the characteristics of the electric signals to obtain characteristic data of a target user; and inputting the characteristic data into the trained support vector machine model to obtain the target characteristic vector of the target user output by the support vector machine model. When the extraction module performs the step of extracting the characteristics of the electric signal to obtain the characteristic data of the target user, the method can be implemented as follows: processing the electric signal by utilizing a wavelet packet decomposition method to obtain sub-band energy characteristics of the electric signal; and reducing the dimensionality of the sub-band energy characteristics to a preset dimensionality by adopting a principal component analysis method to obtain the characteristic data of the target user.
The identity authentication module is specifically used for searching template feature vectors of registered users, and if the template feature vectors matched with the target feature vectors exist, the target users are determined to pass identity authentication, and the intelligent door lock is controlled to be opened; and if the template characteristic vector matched with the target characteristic vector does not exist, determining that the target user does not pass the identity authentication.
In the embodiment of the application, through the control device, the target user can be authenticated by using the electric signal transmitted by the friction nano generator, and the electric signal is not easy to copy or imitate due to the characteristic that the friction nano generator generates the electric signal, so that the control device has high safety.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An intelligent door lock, characterized in that, intelligent door lock includes: a control device and at least one friction nanogenerator;
the friction nano generator is electrically connected with the control device and is used for generating an electric signal and transmitting the electric signal to the control device when the friction nano generator is contacted with a target user;
the control device is used for carrying out identity verification on the target user according to at least one electric signal transmitted by at least one friction nano generator so as to realize unlocking control.
2. The intelligent door lock according to claim 1, wherein the friction nanogenerator comprises at least: electrode slice and triboelectric material, intelligence lock still includes: a front cover;
the electrode plate is arranged on the surface of the front cover, the triboelectric material covers the surface of the electrode plate, and the electrode plate is electrically connected with the control device.
3. The intelligent door lock according to claim 2, wherein the front cover is provided with a password key board, the electrode sheet covers the surface of the password key board, and the electric signal is generated when the target user inputs a password on the triboelectric material.
4. The intelligent door lock according to claim 3, wherein the password key plate comprises a plurality of password keys, the intelligent door lock comprises a plurality of friction nano-generators and is electrically connected with the control device, and each friction nano-generator of the plurality of friction nano-generators is correspondingly arranged on the surface of each password key of the plurality of password keys.
5. The intelligent door lock of claim 1, further comprising: an energy storage device;
the energy storage device is electrically connected with the control device and used for transmitting an electric signal generated by the friction nano generator to the storage device through the control device when the electric energy of the energy storage device is smaller than a preset value so as to charge the energy storage device.
6. A control method of an intelligent door lock, wherein the method is applied to the intelligent door lock according to any one of claims 1 to 5, and the method comprises the following steps:
receiving at least one electrical signal transmitted by at least one of the friction nanogenerators;
and carrying out identity verification on the target user according to the electric signal so as to realize unlocking control.
7. The method of claim 6, wherein the authenticating according to the electrical signal to achieve unlocking control comprises:
when the number of the electric signals is one, or when the number of the electric signals is multiple and the electric signals are spliced into one electric signal, determining the number of wave crests of the electric signals;
when the number is equal to a preset threshold value, extracting a characteristic vector according to the electric signal to obtain a target characteristic vector of the target user;
and according to the target characteristic vector of the target user, performing identity verification on the target user to determine whether to unlock.
8. The method of claim 7, wherein the extracting feature vectors according to the electrical signals to obtain the target feature vector of the target user comprises:
performing feature extraction on the electric signal to obtain feature data of the target user;
and inputting the feature data into a trained support vector machine model to obtain the target feature vector of the target user output by the support vector machine model.
9. The method of claim 8, wherein the performing feature extraction on the electrical signal to obtain feature data of the target user comprises:
processing the electric signal by utilizing a wavelet packet decomposition method to obtain sub-band energy characteristics of the electric signal;
and reducing the dimensionality of the sub-band energy characteristic to a preset dimensionality by adopting a principal component analysis method to obtain the characteristic data of the target user.
10. The method of claim 7, wherein the authenticating the target user according to the target eigenvector of the target user and determining whether to unlock the lock comprises:
searching template feature vectors of registered users, and if template feature vectors matched with the target feature vectors exist, determining that the target users pass identity authentication and controlling the intelligent door lock to be opened;
and if the template characteristic vector matched with the target characteristic vector does not exist, determining that the target user does not pass the identity authentication, and not executing unlocking.
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