WO2019185015A1

WO2019185015A1 - Signal noise removal method utilizing piezoelectric transducer

Info

Publication number: WO2019185015A1
Application number: PCT/CN2019/080400
Authority: WO
Original assignee: 北京钛方科技有限责任公司
Priority date: 2018-03-30
Filing date: 2019-03-29
Publication date: 2019-10-03
Also published as: CN110321020A; CN110321020B

Abstract

The present application provides a signal noise removal method utilizing a piezoelectric transducer. The method comprises: obtaining component information for each noise-generating component inside and outside a device; on the basis of the component information, obtaining noise data of a corresponding noise-generating component, and on the basis of the noise data, obtaining a noise signal, the noise signal being an electrical signal into which the noise data is converted; by means of a piezoelectric transducer, converting an elastic wave signal generated by a touch into an electrical signal so as to obtain a touch signal; and comparing the noise signal with the touch signal to obtain touch data. The invention can greatly reduce noise interference for an elastic wave-based electronic device, effectively improve the accuracy of touch location detection, and expand the application range of touch location detection techniques utilizing elastic waves.

Description

Piezoelectric sensor signal noise removal method

Technical field

The present application relates to the field of electromechanical interaction, and in particular to a method for removing signal noise of a piezoelectric sensor.

Background technique

At present, electronic devices such as portable mobile phones and tablet computers exist on the market, and the main operations are completed through a touch screen. Touch screens are more and more popular because of their ease of operation and lower and lower prices. The unique advantage of touch screens is that they can help users achieve the same operational goals without having to move the mouse and tap the keyboard frequently. The composition of the touch screen generally includes a touch panel, a touch response component, a touch control system, a driver, and the like. The main technical solutions adopted by the touch response components include resistive, capacitive, infrared, surface acoustic wave, etc. These technical solutions have a common disadvantage in addition to their technical limitations, that is, they are usually planar structures or classes. The planar structure also has restrictions on materials. For example, the capacitor technology cannot be compatible with metal materials, and the resistance technology cannot be compatible with hard materials.

In order to overcome this problem, the industry has also proposed an elastic wave sensing element using an elastic wave generated by a touch as an input method, thereby obtaining the touch position on the operation panel by using the sensing elements and related algorithms, thereby achieving The effect of the touch screen; although the method can effectively overcome the above problems, the technical problems that the conventional touch screen such as a capacitive screen is not used in the practical application of the elastic wave component are not considered by the insiders, for example, the device using the elastic wave touch screen The vibration noise problem existing in the same, the noise problem in the actual use of the elastic wave touch screen will more or less limit the recognition accuracy of the touch position, affecting the effective promotion of the elastic wave touch screen.

Summary of the invention

In order to overcome the above problems, the present application aims to provide a method and apparatus for removing signal noise of a piezoelectric sensor with high touch positioning accuracy, so as to improve the applicability and stability of a device using an elastic wave touch screen.

In order to achieve the above object, the method for removing signal noise of a piezoelectric sensor provided by the present application specifically includes: acquiring component information of each component that generates noise inside and outside the device; and obtaining noise data generated by the corresponding component according to the component information, according to the noise. Obtaining a noise signal after the noise data is converted into an electrical signal; converting the elastic wave signal generated by the touch into an electrical signal by the piezoelectric sensor to obtain a touch signal; obtaining the noise signal and the touch signal by comparing the noise signal and the touch signal Touch the data.

The present application also provides a piezoelectric sensor signal noise removing device, the device comprising a noise source judging module, a noise calculating module, a piezoelectric sensor and a calculating module; the noise source judging module is configured to acquire each of the noise generating components inside and outside the device The noise calculation module is configured to obtain noise data generated by the corresponding component according to the component information, and obtain a noise signal after the noise data is converted into an electrical signal according to the noise data; the piezoelectric sensor is used for Converting the elastic wave signal generated by the touch into an electrical signal to obtain a touch signal; and the calculating module is configured to obtain the touch data by comparing the noise signal and the touch signal.

The present application also provides an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the method of claim 1.

The application also provides a computer readable storage medium storing a computer program for performing the method of claim 1.

The method and device for removing signal noise of the piezoelectric sensor provided by the present application can greatly reduce the noise interference of the device using the elastic wave electrons, effectively improve the accuracy of the touch positioning, and enhance the applicability and use range of the elastic wave touch positioning method. .

DRAWINGS

The drawings described herein are provided to provide a further understanding of the present application, and constitute a part of this application, and do not constitute a limitation of the application. In the drawing:

1 is a schematic flow chart of a method for removing signal noise of a piezoelectric sensor according to the present application;

2A-2C are schematic diagrams showing a method for removing signal noise of a piezoelectric sensor according to an embodiment of the present application;

3 is a schematic flow chart of a method for removing signal noise of a piezoelectric sensor according to an embodiment of the present application;

4 is a schematic structural diagram of a piezoelectric sensor signal and noise removing device provided by the present application;

FIG. 5 is a schematic block diagram of a system configuration of an electronic device according to an embodiment of the present application.

detailed description

In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the present application will be further described in detail below with reference to the embodiments and drawings. The illustrative embodiments of the present application and the description thereof are for explaining the present application, but are not intended to limit the application.

Referring to FIG. 1 , the method for removing signal noise of a piezoelectric sensor provided by the present application specifically includes: S101 acquiring component information of each component generating noise inside and outside the device; and S102 obtaining noise data generated by the corresponding component according to the component information, Obtaining, according to the noise data, a noise signal after the noise data is converted into an electrical signal; S103 converts the elastic wave signal generated by the touch into an electrical signal by the piezoelectric sensor to obtain a touch signal; and S104 compares the noise signal with The touch signal obtains touch data. In the above embodiment, the electronic device that uses the piezoelectric sensor to acquire the elastic wave as the trigger signal to perform the subsequent operation is not the same, and the noise source existing therein is also different. For this reason, the noise generating component may include the motor. During the use of horns, fans, hatches, engines, etc., the components of the electronic device that generate non-user-controlled elastic waves are all within the above-mentioned denoising considerations. Then, in the above step S102, the noise data generated by the corresponding component is obtained according to the component information, that is, the type of the component is passed, and the manner in which the component generates noise is confirmed. For example, the noise generated by the speaker is mainly caused by the sound generated by the speaker. The elastic wave is generated in the whole device medium, and at the moment, when the touch data is collected, the data collected by the piezoelectric sensor carries the elastic wave signal brought by the speaker, thereby causing the actual touch data to be in the later stage. When calculating the judgment, there is an unnecessary error; for this reason, after obtaining the component information of the noise component, it is also necessary to judge the state of the noise component, such as the noise level of the speaker, and then obtain the noise data based on the noise data. The noise signal corresponding to the noise data; wherein the manner of obtaining the noise signal according to the noise data will be described in detail in the following description, and will not be explained here.

In the above embodiment, step S104 may further include: performing amplification or reduction processing on the touch signal according to the noise signal to obtain a pre-processed touch signal; and subtracting the pre-processed touch signal The noise signal gets touch data. In this process, the degree of interference generated by the noise signal is not the same. To this end, the touch signal may be further amplified according to actual needs to highlight the difference between the noise signal and the touch signal. Then, the noise signal in the touch signal after the amplification process is eliminated, thereby completing the overall noise elimination work; of course, in actual work, the touch signal may be reduced by different conditions, in view of the processing flow. A method commonly used for signal denoising, for which the present application is not described too much here.

Referring to FIG. 2A, in a preferred embodiment of the present application, the step S104 may further include: performing phase comparison between the touch signal and the noise signal, removing the touch signal from the The signal data with the same phase of the noise signal obtains the touch data. In the process, the touch signal and the noise signal may be phase-aligned, and according to the comparison result, the signal data of the touch signal that is in phase with the noise signal is deleted, thereby avoiding noise. The signal band is opposite to the touch signal band, and the error caused by the direct subtraction process retains more realistic touch data, as shown in the lower part of FIG. 2A; wherein, in the phase comparison process described above, it may also include: And within the predetermined voltage threshold range, the touch signal and the noise signal are phase-aligned; that is, by setting a voltage threshold in advance, only the collected noise signal and the touch signal in the voltage threshold range are performed. Compare, reduce the amount of calculation unnecessary in actual calculation; for example, when the noise generated by the noise source such as the speaker is relatively slight, the elastic wave signal generated by the user when operating the touch is obviously higher than the elastic wave signal generated by the noise source such as the speaker. When the two are compared, the difference is not obvious. If the method of limiting the voltage threshold proposed in the above embodiment is adopted, it is easier to confirm the noise. Of wave band and be removed in order to improve the efficiency of noise removal. Of course, in actual work, the staff can also choose to use according to the actual situation. This application does not impose more restrictions here.

In the above embodiment, the phase comparison of the touch signal and the noise signal may further comprise: periodically analyzing an elastic wave signal generated inside and outside the device, when the periodicity of the elastic wave signal When the preset condition is met; the effective signal is obtained by removing the periodic signal component in the elastic wave signal, and the velocity information generated by the touch is obtained by calculation according to the effective signal. In this way, the interference caused by the periodic interference source to the touch calculation process can be further reduced by the above manner.

In an embodiment of the present application, the step S102 may further include: collecting elastic wave data generated by the noise element in a predetermined time period under different driving voltages, and obtaining a corresponding noise signal according to the elastic wave data. In this embodiment, the elastic wave data generated by the noise element in a predetermined time period under different driving voltages is set to set the noise component determined in step S101 to different driving voltages, and is collected by a piezoelectric sensor. Elastic wave data in a predetermined time period, wherein the elastic wave data is elastic wave data of the noise element at a specified driving voltage, and the piezoelectric sensor further converts the acoustic wave data according to the elastic wave data, and stores the noise signal in a predetermined In the comparison table, the noise generated by each noise component under different conditions can be obtained by multiple measurements in the early stage. In the later process of the touch data acquisition, only the driving voltage or other indication parameters of each noise component need to be monitored. The noise condition generated by the noise component and the corresponding noise signal can be obtained; then, in step S104, the touch signal can be removed according to the noise signal and the touch signal collected in real time by removing the touch signal in the predetermined time period. The noise signal obtains touch data. It is worth noting that the noise generated by the noise component in actual operation is not necessarily linearly related to its driving voltage. It may also have other reference indicators similar to the driving voltage, such as speakers, because of the presence of air to solid medium. The conversion process causes the elastic wave signal collected by it not to be completely linearly related to its driving voltage signal. For this reason, the noise data in the predetermined time period can be converted into a predetermined frequency in the frequency domain by transforming in the time domain or the frequency domain. The noise data is denoised. Specifically, please refer to the noise data of the two predetermined frequencies shown in Figure 2B. By calibrating, the noise data of different amplitudes of different frequencies of the horn can be collected on the piezoelectric sensor. The noise signal is stored as a characteristic waveform. When there is noise data in the subsequent detection, for example, in a speaker working state, the noise signal characteristic waveform can be determined by the frequency segment included in the noise data, as shown in FIG. 2C. In this way, when a touch occurs, the touch signal and the aforementioned noise signal feature are The waveform comparison allows the actual touch data to be obtained. Of course, the interference sources of different electronic devices are not completely the same. The present application does not list them one by one. Those skilled in the art can select a suitable reference index to establish a comparison table according to actual conditions, and compare them with reference later.

Please refer to FIG. 3 again. In actual work, when collecting touch data, the interference source sometimes comes not only from the noise components inside the device, but also when there is a strong vibration source or tapping on the outside. In the embodiment of the present application, a denoising scheme is further provided, which specifically includes: S301 converts the electrical signal obtained by converting the piezoelectric sensor with a predetermined one. Threshold range comparison; S302, when the electrical signal meets a predetermined threshold range, determining that the electrical signal is a touch signal; wherein step S301 comparing the electrical signal obtained by converting the piezoelectric sensor with a predetermined threshold range comprises: calculating the electrical The energy value of the signal is compared with a predetermined threshold range, and when the electrical signal meets the predetermined threshold range, the electrical signal is output, and the electrical signal is the user's touch signal. In the step S301, the electrical signal is compared with a predetermined threshold range. When the touch data meets the predetermined threshold range, the outputting the elastic wave signal may further include: collecting the bottom of the device currently using the piezoelectric sensor. And obtaining a touch parameter according to the noise signal, and obtaining a touch effective condition according to the touch parameter. In actual operation, the touch parameter is obtained according to the noise floor signal, and the touch effective condition is obtained according to the touch parameter, and the feature frequency band of the predetermined position of the noise floor signal and the characteristic frequency band are specifically obtained. a signal-to-noise ratio of the noise floor signal, comparing the signal-to-noise ratio with a predetermined threshold range, and obtaining a detection frequency band according to the comparison result; comparing the detection frequency band and the characteristic frequency band, obtaining the detection frequency band in the characteristic frequency band The internal frequency ratio is compared with a predetermined threshold range. When the frequency ratio meets the predetermined threshold range, the elastic wave signal is outputted, and the electrical signal is determined to be a touch signal.

In the above embodiment, obtaining the touch data by comparing the noise signal and the touch signal in step S104 may further include: comparing the noise signal and the touch signal to obtain a touch signal after removing noise The touch signal after the noise is removed is compared with a predetermined threshold, and the touch data is obtained according to the comparison result. Therefore, in actual work, after the noise signal is eliminated, the remaining touch signals can be further compared with a predetermined threshold to determine whether there is a real touch in the remaining touch signals, such as the absence of real touch. If you touch it, you can discard the signal, reduce unnecessary calculations, and avoid false detection caused by noise.

Referring to FIG. 4, the present application further provides a piezoelectric sensor signal noise removing apparatus, where the apparatus includes a noise source determining module 401, a noise calculating module 402, a piezoelectric sensor 403, and a calculating module 404; The module 401 is configured to acquire component information of each component that generates noise inside and outside the device. The noise calculation module 402 is configured to obtain noise data generated by the corresponding component according to the component information, and obtain the noise data into electricity according to the noise data. a noise signal after the signal; the piezoelectric sensor 403 is configured to convert the elastic wave signal generated by the touch into an electrical signal to obtain a touch signal; wherein the noise generating component comprises: a motor, a horn, a fan, a hatch The engine module or the like, the calculation module 404 is configured to obtain touch data by comparing the noise signal and the touch signal. In the above embodiment, the piezoelectric sensor may be a piezoelectric ceramic sensor, and the function thereof is to convert the elastic wave signal into an electrical signal, so that the calculation module 404 can calculate the actual user according to the electrical signal. Touching the data; based on this, in actual operation, the touch data is directly related to the amount of noise interference in the electrical signal; in order to eliminate the noise interference in the electrical signal, the noise calculation is performed in an embodiment of the present application. The module 402 obtains the noise data generated by the corresponding component by using the component information, that is, the type of the component, and confirms the manner in which the component generates noise. For example, the noise generated by the speaker mainly comes into the elasticity of the overall device medium caused by the sound emitted by the speaker. Wave, after obtaining the component information of the noise component, it is also necessary to judge the state of the noise component, such as the noise level of the speaker, and then obtain the noise signal corresponding to the noise data based on the noise data; The calculating module 404 further calculates the final according to the collected touch signal and the noise signal. Touch the data.

In the above-mentioned piezoelectric sensor signal noise removing apparatus, the calculating module 404 further includes: performing amplification or reduction processing on the touch signal according to the noise signal to obtain a pre-processed touch signal; and subtracting the pre- The noise signal in the processed touch signal obtains touch data. In this process, the degree of interference generated by the noise signal is not the same. To this end, the touch signal may be further amplified according to actual needs to highlight the difference between the noise signal and the touch signal. Then, the noise signal in the touch signal after the amplification process is eliminated, thereby completing the overall noise elimination work; of course, in actual work, the touch signal may be reduced by different conditions, in view of the processing flow. A method commonly used for signal denoising, for which the present application is not described too much here.

In the piezoelectric sensor signal noise removing device, the calculating module 404 further includes: performing phase comparison between the touch signal and the noise signal, and removing a phase of the touch signal that is consistent with the noise signal. Signal data to obtain touch data. In the process, the touch signal and the noise signal may be phase-aligned, and according to the comparison result, the signal data of the touch signal that is in phase with the noise signal is deleted, thereby avoiding noise. The signal band is opposite to the touch signal band, and the error caused by the direct subtraction process preserves more realistic touch data. Of course, in actual work, the staff can also choose to use according to the actual situation. This application does not impose more restrictions here. In the above phase comparison process, the touch signal and the noise signal may be phase-aligned within a predetermined voltage threshold range; that is, only the voltage is preset by setting a voltage threshold. The noise signal collected in the threshold range is compared with the touch signal to reduce the amount of calculation unnecessary in actual calculation; for example, when the noise generated by the noise source such as the speaker is relatively slight, the elastic wave signal generated by the user when operating the touch is obvious. It will be higher than the elastic wave signal generated by the noise source such as the horn. In this case, the difference between the two is not obvious. If the method of limiting the voltage threshold proposed in the above embodiment is adopted, the noise can be more easily confirmed. The generated elastic wave band is removed and effectively improved the efficiency of noise removal.

In the above piezoelectric sensor signal noise removing apparatus, the noise calculating module 402 further includes: acquiring elastic wave data generated by the noise element in a predetermined time period under different driving voltages, and obtaining corresponding noise according to the elastic wave data. a signal; thereafter, the calculation module 404 further removes the noise signal in the touch signal for a predetermined time period to obtain touch data. In this embodiment, the noise calculation module 402 collects the elastic wave data generated by the noise component in a predetermined time period under different driving voltages, that is, sets the noise component determined in the noise source determining module 401 to different driving voltages. And collecting, by the piezoelectric sensor, the elastic wave data in a predetermined time period, wherein the elastic wave data is the elastic wave data of the noise element at a specified driving voltage, and the piezoelectric sensor is further converted according to the elastic wave data. The noise signal is stored in a predetermined comparison table, so that the noise generated by each noise component under different conditions can be obtained by multiple measurements in the previous stage, and only the noise is monitored during the touch data acquisition process. The noise voltage generated by the noise component and its corresponding noise signal can be obtained by driving voltage or other indication parameters of the component; thereafter, in the calculation module 404, the predetermined time can be removed according to the noise signal and the touch signal collected in real time. The touch signal in the touch signal in the period obtains touch data. It should be noted that the noise generated by the noise component in actual operation is not necessarily linearly related to its driving voltage, and there may be other reference indicators similar to the driving voltage, which are not enumerated herein. The relevant technical personnel in the field can select the appropriate reference indicators to establish a comparison table according to the actual situation, and compare them with the later comparison.

The following is a further explanation of the above scheme with specific examples in actual work; taking the noise generated by the speaker of the notebook in actual work as an example, when the speaker plays music, the acoustic processing chip on the notebook converts the sound source from digital signal to continuous. The electrical analog signal of the waveform is played through the speaker through the relevant processing circuit, and the vibration generated by the speaker in the play is transmitted to the touch panel through the connection structure, and elastic fluctuation noise is generated on the panel. At this time, the piezoelectric sensor mounted on the panel collects the elastic wave noise generated by the horn at the same time during the process of collecting the touch signal. In order to separate the elastic wave noise, it is necessary to set a specific small time period of the electrical analog signal as a pulse signal as an electrical signal excitation source when no touch operation is performed, and artificially apply such a signal to the analog signal circuit. The excitation source, through the piezoelectric sensor, the collected signal is used as an output feature and saved. The different voltage or current amplitude signals in the electrical analog signal are respectively subjected to the operations described above to obtain an output feature library. Thereafter, when there is music playing or a touch occurs, the determined electrical analog signal can be analyzed by the played sound source and disassembled into several electrical signal excitation sources, and the electrical signals collected on the piezoelectric sensor are reduced. An effective touch electric signal can be obtained by the characteristic waveform corresponding to the excitation signal excitation source. Of course, the subtraction process also needs to consider the signal alignment problem, which is caused by the time-consuming process of converting the played sound source into the elastic wave noise process. In the process of obtaining the output feature library, the piezoelectric sensor collects the signal and the sound source sends a play signal. The time difference is obtained. It should be noted that there are other ways to de-noise the actual signal in actual work. Those skilled in the art should understand that the above examples are only specific examples to help understanding, and the present application does not further limit it.

The present application further provides an electronic device, which may be a desktop computer, a tablet computer, a mobile terminal, etc., and the embodiment is not limited thereto. In this embodiment, the electronic device may refer to the implementation of the foregoing method and the foregoing apparatus, and the content thereof is incorporated herein, and the details are not described again.

FIG. 5 is a schematic block diagram of a system configuration of an electronic device 600 according to an embodiment of the present application. As shown in FIG. 5, the electronic device 600 can include a central processing unit 100 and a memory 140; the memory 140 is coupled to the central processing unit 100. It should be noted that the figure is exemplary; other types of structures may be used in addition to or in place of the structure to implement telecommunications functions or other functions.

In an embodiment, noise source determination, noise calculation, and the like may be integrated into the central processing unit 100. The central processing unit 100 may be configured to perform the following operations: acquiring component information of each noise generating component inside and outside the device; obtaining noise data generated by the corresponding component according to the component information, and obtaining the noise data conversion according to the noise data The noise signal after the electrical signal is obtained, and the touch data is obtained by comparing the noise signal and the touch signal.

The obtaining the touch data by comparing the noise signal and the touch signal includes: performing amplification or reduction processing on the touch signal according to the noise signal to obtain a pre-processed touch signal; The noise signal in the pre-processed touch signal obtains touch data.

And performing phase comparison on the touch signal and the noise signal, and removing signal data that is in phase with the noise signal in the touch signal to obtain touch data.

The phase comparison of the touch signal and the noise signal may further include: performing phase comparison between the touch signal and the noise signal within a predetermined voltage threshold range.

The obtaining the noise signal after the noise data is converted into the electrical signal according to the noise data comprises: acquiring elastic wave data generated by the noise component in a predetermined time period under different driving voltages, and obtaining corresponding correspondence according to the elastic wave data. Noise signal.

The obtaining the touch data by comparing the noise signal and the touch signal includes: removing the noise signal in the touch signal in a predetermined time period to obtain touch data.

And performing periodic analysis on the elastic wave signal generated inside and outside the device, when the periodicity of the elastic wave signal meets a preset condition; and obtaining an effective signal by removing the periodic signal component in the elastic wave signal, And calculating, according to the valid signal, the velocity information generated by the touch.

As shown in FIG. 5, the electronic device 600 may further include: a communication module 110, an input unit 120, a piezoelectric sensor 130, a display 160, and a power source 170. It should be noted that the electronic device 600 does not have to include all of the components shown in FIG. 5; in addition, the electronic device 600 may further include components not shown in FIG. 5, and reference may be made to the prior art.

As shown in FIG. 5, central processor 100, also sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device that receives input and controls various components of electronic device 600. The operation of the part.

The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory, or other suitable device. The above-mentioned information related to the failure can be stored, and a program for executing the related information can be stored. And the central processing unit 100 can execute the program stored by the memory 140 to implement information storage or processing and the like.

Input unit 120 provides input to central processor 100. The input unit 120 is, for example, a button or a touch input device. The power source 170 is used to provide power to the electronic device 600. The display 160 is used to display a display object such as an image or a character. The display device 160 can be, for example, a touch device such as an LCD display. The input unit 120 can be integrated with the display device 160 to implement a touch display function, but is not limited thereto.

The memory 140 can be a solid state memory such as a read only memory (ROM), a random access memory (RAM), a SIM card, or the like. It is also possible to store a memory that can be selectively erased and provided with more data even when the power is turned off, and an example of the memory is sometimes referred to as an EPROM or the like. Memory 140 can also be some other type of device. Memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142 for storing an application and a function program or a flow for executing an operation of the electronic device 600 by the central processing unit 100.

The memory 140 may also include a data storage portion 143 for storing data such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers for the communication function of the electronic device and/or for performing other functions of the electronic device such as a messaging application, an address book application, and the like.

The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via the antenna 111. A communication module (transmitter/receiver) 110 is coupled to the central processing unit 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.

Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a Bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 110 also issues a designated signal after obtaining a corresponding command via the central processing unit 100, thereby implementing a general telecommunication function. Piezoelectric sensor 130 can include any suitable piezoelectric sensing element, such as a thin film piezoelectric sensor or the like.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

The specific embodiments of the present invention have been described in detail with reference to the specific embodiments of the present application. It is to be understood that the foregoing description is only The scope of protection, any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this application are intended to be included within the scope of the present application.

Claims

A method for removing noise from a piezoelectric sensor signal, characterized in that the method comprises:

Obtaining component information of each component that generates noise inside and outside the device;

Obtaining noise data generated by the corresponding component according to the component information, and obtaining a noise signal after the noise data is converted into an electrical signal according to the noise data;

The elastic wave signal generated by the touch is converted into an electrical signal by the piezoelectric sensor to obtain a touch signal;

The touch data is obtained by comparing the noise signal and the touch signal.
The method for removing signal noise of a piezoelectric sensor according to claim 1, wherein the obtaining the touch data by comparing the noise signal and the touch signal comprises: performing the touch signal according to the noise signal The amplification or reduction process is performed to obtain a pre-processed touch signal; and the noise signal in the pre-processed touch signal is subtracted to obtain touch data.
The method for removing signal noise of a piezoelectric sensor according to claim 1, wherein the obtaining the touch data by comparing the noise signal and the touch signal comprises: phase the touch signal and the noise signal Comparing, the signal data of the touch signal that is in phase with the noise signal is removed, and the touch data is obtained.
The method for removing signal noise of a piezoelectric sensor according to claim 3, wherein the phase comparison of the touch signal and the noise signal further comprises: the touch signal is within a predetermined voltage threshold range Phase comparison with the noise signal.
The method for removing signal noise of a piezoelectric sensor according to claim 1, wherein the obtaining the noise signal after the noise data is converted into an electrical signal according to the noise data comprises: collecting the different driving voltages for a predetermined time period The elastic wave data generated by the noise element obtains a corresponding noise signal based on the elastic wave data.
The method for removing signal noise of a piezoelectric sensor according to claim 5, wherein the obtaining the touch data by comparing the noise signal and the touch signal comprises: removing the touch signal in the predetermined time period The noise signal is obtained, and the touch data is obtained.
The method for removing signal noise of a piezoelectric sensor according to claim 5, wherein the obtaining the touch data by comparing the noise signal and the touch signal comprises: performing periodicity on an elastic wave signal generated inside and outside the device And analyzing, when the periodicity of the elastic wave signal meets a preset condition; obtaining an effective signal by removing the periodic signal component in the elastic wave signal, and obtaining the velocity information generated by the touch according to the effective signal .
The piezoelectric sensor signal noise removing method according to claim 1, wherein the noise generating element comprises: a motor, a horn, a fan, a hatch, an engine, and the like.
The method for removing signal noise of a piezoelectric sensor according to claim 1, wherein the obtaining the touch data by comparing the noise signal and the touch signal further comprises: comparing the noise signal and the touch signal And obtaining a touch signal after the noise is removed; comparing the touch signal after the noise is removed with a predetermined threshold, and obtaining the touch data according to the comparison result.
An electronic device comprising a memory, a processor, and a computer program stored on the memory and operative on the processor, wherein the processor performs the method of claim 1.
A computer readable storage medium storing a computer program for performing the method of claim 1.