CN113588069A - Piezoelectric sensor and microphone - Google Patents
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- CN113588069A CN113588069A CN202110726784.6A CN202110726784A CN113588069A CN 113588069 A CN113588069 A CN 113588069A CN 202110726784 A CN202110726784 A CN 202110726784A CN 113588069 A CN113588069 A CN 113588069A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/06—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means
- G01H11/08—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means using piezoelectric devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R17/00—Piezoelectric transducers; Electrostrictive transducers
- H04R17/02—Microphones
Abstract
The invention discloses a piezoelectric sensor and a microphone, the piezoelectric sensor includes: the acquisition module is used for acquiring a vibration signal of a target object on which the piezoelectric sensor is arranged; the acquisition module is used for converting the vibration signal into an electric signal and analyzing and processing the electric signal to acquire an electromyographic signal in the electric signal; the construction module is used for constructing a stress waveform diagram of the target object according to the converted electric signals and the electromyographic signals in the electric signals; and the analysis module is used for analyzing the deformation and crack states of the target object according to the stress waveform diagram of the target object. The accuracy and the practicality of the final deformation evaluation result of the target object can be ensured, the influence of human interference factors is eliminated, the accuracy of data is ensured, and the experience of a user is improved.
Description
Technical Field
The invention relates to the technical field of electronic devices, in particular to a piezoelectric sensor and a microphone.
Background
A piezoelectric sensor is a sensor based on the piezoelectric effect. Is a self-generating and electromechanical transducer. Its sensitive element is made of piezoelectric material. The piezoelectric material generates electric charges on the surface after being stressed. The charge is amplified by the charge amplifier and the measuring circuit and transformed into impedance, and then the electric quantity proportional to the external force is output. Piezoelectric transducers are used to measure forces and non-electrical physical quantities that can be converted into electricity. Its advantage is that frequency band is wide, sensitivity is high, signal-to-noise ratio is high, simple structure, reliable operation and light in weight etc. current piezoelectric sensor only converts the deformation state that the aassessment waited to detect the object into the signal of telecommunication through gathering vibration signal, and this kind of sensor has following shortcoming: because the generation of the vibration signal is multifaceted, the myoelectric signal generated by a man-made operation object is possibly contained in the detected vibration signal, so that the final evaluation result has errors, and the problem that the myoelectric signal does not accord with the reality is caused, and the experience of a user is reduced.
Disclosure of Invention
In view of the above-mentioned problems, the present invention provides a piezoelectric sensor to solve the problems mentioned in the background art that the generation of vibration signals is multifaceted, and therefore the detected vibration signals may include myoelectric signals generated by a human-operated object, which results in an error in the final evaluation result and does not conform to the actual result, thereby reducing the experience of the user.
A piezoelectric sensor, comprising:
the acquisition module is used for acquiring a vibration signal of a target object on which the piezoelectric sensor is arranged;
the acquisition module is used for converting the vibration signal into an electric signal and analyzing and processing the electric signal to acquire an electromyographic signal in the electric signal;
the construction module is used for constructing a stress waveform diagram of the target object according to the converted electric signals and the electromyographic signals in the electric signals;
and the analysis module is used for analyzing the deformation and crack states of the target object according to the stress waveform diagram of the target object.
Preferably, the acquisition module includes:
the detection submodule is used for detecting whether a vibration signal is generated on the target object;
the acquisition submodule is used for acquiring a specimen vibration signal when the detection submodule detects that a vibration signal is generated;
the analysis submodule is used for analyzing the current amplitude of the specimen vibration signal, judging whether the current amplitude is larger than or equal to a preset amplitude, if so, generating a continuous acquisition instruction and sending the continuous acquisition instruction to the acquisition submodule, and otherwise, confirming that the specimen vibration signal does not reach an acquisition standard;
and the storage submodule is used for storing the specimen vibration signal and the subsequent vibration signal acquired by the acquisition submodule.
Preferably, the storage submodule includes:
the sorting unit is used for sorting the specimen vibration signals and the subsequent vibration signals according to the sequence of the acquisition time to obtain a sorting result;
the dividing unit is used for dividing the vibration signals in the sequencing result into a plurality of target vibration signals in a fixed time period;
the calculation unit is used for calculating the vibration acceleration value of each target vibration signal and calculating the vibration acceleration average value of two adjacent target vibration signals according to the vibration acceleration value of each target vibration signal;
the correcting unit is used for taking the vibration acceleration average value of two adjacent target vibration signals as a zero offset correction value of the vibration signals so as to correct the sample vibration signals and the subsequent vibration signals;
and the storage unit is used for storing the corrected specimen vibration signal and the subsequent vibration signal.
Preferably, the obtaining module includes:
the conversion sub-module is used for converting the vibration signal into an electric signal;
a first construction sub-module for constructing a plurality of data sets from the electrical signals;
the first analysis submodule is used for carrying out independent vector analysis on the plurality of constructed data sets to obtain a source signal matrix and a mixed signal matrix corresponding to each data set;
the screening submodule is used for screening out a target matrix factor related to the electromyographic signals from the source signal matrix and the mixed signal matrix according to the characteristic vector of the electromyographic signals;
the second construction submodule is used for constructing an electromyographic signal matrix according to the target matrix factor;
and the first determining submodule is used for determining the electromyographic signals in the electric signals according to the electromyographic signal matrix.
Preferably, the building block includes:
the acquisition submodule is used for acquiring a first vibration frequency of the electric signal and a second vibration frequency of the electromyographic signal;
the third construction submodule is used for constructing a stress change diagram of the target object according to the first vibration frequency of the electric signal, the second vibration frequency of the electromyographic signal and the gravity of the target object;
and the substitution submodule is used for correspondingly substituting the stress change diagram of the target object into a pre-constructed planar two-dimensional coordinate system to obtain a stress waveform diagram of the target object.
Preferably, the parsing module includes:
the fourth construction submodule is used for acquiring the self-parameters of the target object and constructing the meta-model of the target object according to the self-parameters of the target object;
the selection submodule is used for selecting N test points in the meta-model of the target object;
the second determining submodule is used for determining the stress value of each test point on the basis of the stress oscillogram of the target object and the distances between the N test points and the positions of the vibration signal sampling points on the meta-model;
the second analysis submodule is used for carrying out linear stress analysis on the element model according to the stress value of each test point to obtain an analysis result;
the third determining submodule is used for determining the displacement distance of each test point according to the analysis result and calculating the deformation of the meta-model of the target object according to the displacement distance of each test point;
and the evaluation submodule is used for evaluating the deformation and crack states of the target object according to the deformation of the meta-model.
Preferably, the piezoelectric sensor further includes: the early warning module is used for sending an early warning prompt to a user according to the current amplitude of the specimen vibration signal, and the method comprises the following steps:
acquiring the motion frequency of the target object in normal work;
determining the standard amplitude of the target object in normal operation according to the operating frequency;
setting early warning grades and early warning amplitude intervals corresponding to each grade according to the standard amplitude;
determining a target early warning amplitude interval to which the current amplitude of the specimen vibration signal belongs and a corresponding target early warning grade;
and sending an early warning prompt to a user by using a target prompt tone corresponding to the target early warning level.
Preferably, the third determining sub-module is further configured to:
constructing a stress loss influence matrix of the target object according to the displacement distance of each test point and the stress loss value corresponding to the unit displacement;
integrating the displacement distance of each test point and constructing an integral displacement change matrix of the target object;
constructing a stress loss identification model of the target object according to the stress loss influence matrix and the overall displacement change matrix of the target object;
generating an auxiliary function of a stress loss identification model of the target object;
determining a stress loss coefficient of each test point according to the stress loss influence matrix of the target object;
calculating the stress loss value of each test point according to the displacement distance and the stress loss coefficient of each test point by using the auxiliary function of the stress loss identification model;
constructing a curve graph of the stress loss value of the target object along with the change of the stress value according to the stress value of each test point and the stress loss value of the test point;
screening a relaxation curve from the curve graph, and acquiring a target stress value and a target stress loss value corresponding to the relaxation curve;
calculating the stress loss rate of the target object under the target stress value by using the target stress value, the target stress loss value and the compressive strength, the tensile strength and the deformation modulus of the target object;
and adjusting the deformation of the meta-model of the target object according to the stress loss rate to obtain the adjusted deformation, and confirming the adjusted deformation of the meta-model as the final deformation of the meta-model of the target object.
A microphone provided with a microphone substrate with a piezoelectric sensor according to claims 1-7.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a schematic structural diagram of a piezoelectric sensor according to the present invention;
FIG. 2 is a schematic view of another structure of a piezoelectric sensor according to the present invention;
fig. 3 is a schematic structural diagram of a piezoelectric sensor according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
A piezoelectric sensor is a sensor based on the piezoelectric effect. Is a self-generating and electromechanical transducer. Its sensitive element is made of piezoelectric material. The piezoelectric material generates electric charges on the surface after being stressed. The charge is amplified by the charge amplifier and the measuring circuit and transformed into impedance, and then the electric quantity proportional to the external force is output. Piezoelectric transducers are used to measure forces and non-electrical physical quantities that can be converted into electricity. Its advantage is that frequency band is wide, sensitivity is high, signal-to-noise ratio is high, simple structure, reliable operation and light in weight etc. current piezoelectric sensor only converts the deformation state that the aassessment waited to detect the object into the signal of telecommunication through gathering vibration signal, and this kind of sensor has following shortcoming: because the generation of the vibration signal is multifaceted, the myoelectric signal generated by a man-made operation object is possibly contained in the detected vibration signal, so that the final evaluation result has errors, and the problem that the myoelectric signal does not accord with the reality is caused, and the experience of a user is reduced. In order to solve the above problem, the present embodiment discloses a piezoelectric sensor.
A piezoelectric sensor, as shown in fig. 1, comprising:
the acquisition module 101 is used for acquiring a vibration signal of a target object on which the piezoelectric sensor is arranged;
an obtaining module 102, configured to convert the vibration signal into an electrical signal, and analyze and process the electrical signal to obtain an electromyographic signal in the electrical signal;
a construction module 103, configured to construct a stress waveform diagram of the target object according to the converted electrical signal and the electromyographic signal in the electrical signal;
and the analysis module 104 is used for analyzing the deformation and crack states of the target object according to the stress waveform diagram of the target object.
The working principle of the technical scheme is as follows: the method comprises the steps of collecting vibration signals of a target object provided with a piezoelectric sensor through a collection module, converting the vibration signals into electric signals through an acquisition module, analyzing and processing the electric signals to obtain electromyographic signals in the electric signals, constructing a stress waveform diagram of the target object according to the converted electric signals and the electromyographic signals in the electric signals through a construction module, and finally analyzing the deformation and crack states of the target object according to the stress waveform diagram of the target object through an analysis module.
The beneficial effects of the above technical scheme are: the electromyographic signal analysis is carried out on the electric signal corresponding to the vibration signal of the target object, so that the electromyographic signal in the vibration signal can be effectively determined, an actual stress waveform diagram of the target object is constructed according to the electric signal and the electromyographic signal, the accuracy and the practicability of the final deformation evaluation result of the target object can be ensured, the influence of artificial interference factors is eliminated, the accuracy of data is ensured, the experience feeling of a user is improved, and the problems that in the prior art, the electromyographic signal generated by a man-made operation object is possibly included in the detected vibration signal, so that the final evaluation result has errors and is not in accordance with the actual situation due to the fact that the vibration signal is generated in various aspects are solved.
In one embodiment, as shown in fig. 2, the acquisition module includes:
a detection submodule 1011 for detecting whether a vibration signal is generated on the target object;
the acquisition sub-module 1012 is used for acquiring a sample vibration signal when the detection sub-module detects that a vibration signal is generated;
the analyzing submodule 1013 is used for analyzing the current amplitude of the specimen vibration signal, judging whether the current amplitude is greater than or equal to a preset amplitude, if so, generating a continuous acquisition instruction and sending the continuous acquisition instruction to the acquisition submodule, otherwise, confirming that the specimen vibration signal does not reach an acquisition standard;
and the storage sub-module 1014 is used for storing the specimen vibration signal acquired by the acquisition sub-module and the subsequent vibration signal.
The beneficial effects of the above technical scheme are: the vibration signal is pre-sampled in advance, so that the integrity of the collected vibration signal is ensured, and further, whether the collected vibration signal is qualified or not is judged by judging whether the current amplitude of the specimen vibration signal is larger than or equal to the preset amplitude, so that the storage space of a storage submodule can be saved, and the data storage efficiency is ensured.
In one embodiment, the storage submodule includes:
the sorting unit is used for sorting the specimen vibration signals and the subsequent vibration signals according to the sequence of the acquisition time to obtain a sorting result;
the dividing unit is used for dividing the vibration signals in the sequencing result into a plurality of target vibration signals in a fixed time period;
the calculation unit is used for calculating the vibration acceleration value of each target vibration signal and calculating the vibration acceleration average value of two adjacent target vibration signals according to the vibration acceleration value of each target vibration signal;
the correcting unit is used for taking the vibration acceleration average value of two adjacent target vibration signals as a zero offset correction value of the vibration signals so as to correct the sample vibration signals and the subsequent vibration signals;
and the storage unit is used for storing the corrected specimen vibration signal and the subsequent vibration signal.
The beneficial effects of the above technical scheme are: the influence of interference signals can be removed by correcting the specimen vibration signals and the follow-up vibration signals, and the accuracy of the collected vibration signals is ensured.
In one embodiment, the obtaining module includes:
the conversion sub-module is used for converting the vibration signal into an electric signal;
a first construction sub-module for constructing a plurality of data sets from the electrical signals;
the first analysis submodule is used for carrying out independent vector analysis on the plurality of constructed data sets to obtain a source signal matrix and a mixed signal matrix corresponding to each data set;
the screening submodule is used for screening out a target matrix factor related to the electromyographic signals from the source signal matrix and the mixed signal matrix according to the characteristic vector of the electromyographic signals;
the second construction submodule is used for constructing an electromyographic signal matrix according to the target matrix factor;
and the first determining submodule is used for determining the electromyographic signals in the electric signals according to the electromyographic signal matrix.
The beneficial effects of the above technical scheme are: the electromyographic signals in the electric signals can be completely extracted indiscriminately by determining the electromyographic signals in the electric signals in a matrix factor extraction mode, so that the condition that the electromyographic signals disappear in the extraction process is avoided, and the accuracy of signal acquisition is ensured.
In one embodiment, as shown in fig. 3, the building block includes:
an obtaining sub-module 1031, configured to obtain a first vibration frequency of the electrical signal and a second vibration frequency of the electromyographic signal;
the third construction submodule 1032 is used for constructing a stress variation graph of the target object according to the first vibration frequency of the electric signal, the second vibration frequency of the electromyographic signal and the gravity of the target object;
a substitution submodule 1033, configured to correspondingly substitute the stress variation map of the target object into a pre-constructed planar two-dimensional coordinate system to obtain a stress waveform map of the target object.
The beneficial effects of the above technical scheme are: the stress waveform diagram of the target object is obtained by constructing the stress change diagram of the target object and substituting the stress change diagram into the pre-constructed plane two-dimensional coordinate system, so that the stress waveform diagram of the target object from all stress angles can be accurately obtained according to the respective vibration frequencies of the electric signal and the electromyographic signal, and the stress waveform diagram of the target object can be comprehensively drawn, so that a user can clearly and intuitively determine the stress condition of the target object according to the stress waveform diagram.
In one embodiment, the parsing module includes:
the fourth construction submodule is used for acquiring the self-parameters of the target object and constructing the meta-model of the target object according to the self-parameters of the target object;
the selection submodule is used for selecting N test points in the meta-model of the target object;
the second determining submodule is used for determining the stress value of each test point on the basis of the stress oscillogram of the target object and the distances between the N test points and the positions of the vibration signal sampling points on the meta-model;
the second analysis submodule is used for carrying out linear stress analysis on the element model according to the stress value of each test point to obtain an analysis result;
the third determining submodule is used for determining the displacement distance of each test point according to the analysis result and calculating the deformation of the meta-model of the target object according to the displacement distance of each test point;
and the evaluation submodule is used for evaluating the deformation and crack states of the target object according to the deformation of the meta-model.
The beneficial effects of the above technical scheme are: the deformation state of the target object is determined by constructing the meta-model for testing, and the deformation and crack states of the target object can be accurately evaluated by performing scene simulation according to actual data, so that the final evaluation result is more accurate.
In one embodiment, the piezoelectric sensor further comprises: the early warning module is used for sending an early warning prompt to a user according to the current amplitude of the specimen vibration signal, and the method comprises the following steps:
acquiring the motion frequency of the target object in normal work;
determining the standard amplitude of the target object in normal operation according to the operating frequency;
setting early warning grades and early warning amplitude intervals corresponding to each grade according to the standard amplitude;
determining a target early warning amplitude interval to which the current amplitude of the specimen vibration signal belongs and a corresponding target early warning grade;
and sending an early warning prompt to a user by using a target prompt tone corresponding to the target early warning level.
The beneficial effects of the above technical scheme are: the early warning prompts of different levels are sent to the user, so that the user can know the damage condition and the damage level of the target object in time, the occurrence of accidents can be avoided, and the safety is improved.
Preferably, the third determining sub-module is further configured to:
constructing a stress loss influence matrix of the target object according to the displacement distance of each test point and the stress loss value corresponding to the unit displacement;
integrating the displacement distance of each test point and constructing an integral displacement change matrix of the target object;
constructing a stress loss identification model of the target object according to the stress loss influence matrix and the overall displacement change matrix of the target object;
generating an auxiliary function of a stress loss identification model of the target object;
determining a stress loss coefficient of each test point according to the stress loss influence matrix of the target object;
calculating the stress loss value of each test point according to the displacement distance and the stress loss coefficient of each test point by using the auxiliary function of the stress loss identification model;
constructing a curve graph of the stress loss value of the target object along with the change of the stress value according to the stress value of each test point and the stress loss value of the test point;
screening a relaxation curve from the curve graph, and acquiring a target stress value and a target stress loss value corresponding to the relaxation curve;
calculating the stress loss rate of the target object under the target stress value by using the target stress value, the target stress loss value and the compressive strength, the tensile strength and the deformation modulus of the target object;
and adjusting the deformation of the meta-model of the target object according to the stress loss rate to obtain the adjusted deformation, and confirming the adjusted deformation of the meta-model as the final deformation of the meta-model of the target object.
The beneficial effects of the above technical scheme are: the actual stress value borne by the target object can be accurately determined by calculating the stress loss value corresponding to the stress value of the target object, so that the deformation can be accurately evaluated, and the accuracy and the practicability of the evaluation result are further improved.
A microphone provided with a microphone substrate with a piezoelectric sensor according to claims 1-7.
The beneficial effects of the above technical solutions have already been described in the technical content corresponding to the piezoelectric sensor, and are not described herein again.
It will be understood by those skilled in the art that the first and second terms of the present invention refer to different stages of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A piezoelectric sensor, comprising:
the acquisition module is used for acquiring a vibration signal of a target object on which the piezoelectric sensor is arranged;
the acquisition module is used for converting the vibration signal into an electric signal and analyzing and processing the electric signal to acquire an electromyographic signal in the electric signal;
the construction module is used for constructing a stress waveform diagram of the target object according to the converted electric signals and the electromyographic signals in the electric signals;
and the analysis module is used for analyzing the deformation and crack states of the target object according to the stress waveform diagram of the target object.
2. The piezoelectric sensor of claim 1, wherein the acquisition module comprises:
the detection submodule is used for detecting whether a vibration signal is generated on the target object;
the acquisition submodule is used for acquiring a specimen vibration signal when the detection submodule detects that a vibration signal is generated;
the analysis submodule is used for analyzing the current amplitude of the specimen vibration signal, judging whether the current amplitude is larger than or equal to a preset amplitude, if so, generating a continuous acquisition instruction and sending the continuous acquisition instruction to the acquisition submodule, and otherwise, confirming that the specimen vibration signal does not reach an acquisition standard;
and the storage submodule is used for storing the specimen vibration signal and the subsequent vibration signal acquired by the acquisition submodule.
3. The piezoelectric sensor of claim 2, wherein the memory submodule comprises:
the sorting unit is used for sorting the specimen vibration signals and the subsequent vibration signals according to the sequence of the acquisition time to obtain a sorting result;
the dividing unit is used for dividing the vibration signals in the sequencing result into a plurality of target vibration signals in a fixed time period;
the calculation unit is used for calculating the vibration acceleration value of each target vibration signal and calculating the vibration acceleration average value of two adjacent target vibration signals according to the vibration acceleration value of each target vibration signal;
the correcting unit is used for taking the vibration acceleration average value of two adjacent target vibration signals as a zero offset correction value of the vibration signals so as to correct the sample vibration signals and the subsequent vibration signals;
and the storage unit is used for storing the corrected specimen vibration signal and the subsequent vibration signal.
4. The piezoelectric sensor of claim 1, wherein the acquisition module comprises:
the conversion sub-module is used for converting the vibration signal into an electric signal;
a first construction sub-module for constructing a plurality of data sets from the electrical signals;
the first analysis submodule is used for carrying out independent vector analysis on the plurality of constructed data sets to obtain a source signal matrix and a mixed signal matrix corresponding to each data set;
the screening submodule is used for screening out a target matrix factor related to the electromyographic signals from the source signal matrix and the mixed signal matrix according to the characteristic vector of the electromyographic signals;
the second construction submodule is used for constructing an electromyographic signal matrix according to the target matrix factor;
and the first determining submodule is used for determining the electromyographic signals in the electric signals according to the electromyographic signal matrix.
5. The piezoelectric sensor of claim 1, wherein the building block comprises:
the acquisition submodule is used for acquiring a first vibration frequency of the electric signal and a second vibration frequency of the electromyographic signal;
the third construction submodule is used for constructing a stress change diagram of the target object according to the first vibration frequency of the electric signal, the second vibration frequency of the electromyographic signal and the gravity of the target object;
and the substitution submodule is used for correspondingly substituting the stress change diagram of the target object into a pre-constructed planar two-dimensional coordinate system to obtain a stress waveform diagram of the target object.
6. The piezoelectric sensor of claim 1, wherein the resolution module comprises:
the fourth construction submodule is used for acquiring the self-parameters of the target object and constructing the meta-model of the target object according to the self-parameters of the target object;
the selection submodule is used for selecting N test points in the meta-model of the target object;
the second determining submodule is used for determining the stress value of each test point on the basis of the stress oscillogram of the target object and the distances between the N test points and the positions of the vibration signal sampling points on the meta-model;
the second analysis submodule is used for carrying out linear stress analysis on the element model according to the stress value of each test point to obtain an analysis result;
the third determining submodule is used for determining the displacement distance of each test point according to the analysis result and calculating the deformation of the meta-model of the target object according to the displacement distance of each test point;
and the evaluation submodule is used for evaluating the deformation and crack states of the target object according to the deformation of the meta-model.
7. The piezoelectric sensor according to claim 2, further comprising: the early warning module is used for sending an early warning prompt to a user according to the current amplitude of the specimen vibration signal, and the method comprises the following steps:
acquiring the motion frequency of the target object in normal work;
determining the standard amplitude of the target object in normal operation according to the operating frequency;
setting early warning grades and early warning amplitude intervals corresponding to each grade according to the standard amplitude;
determining a target early warning amplitude interval to which the current amplitude of the specimen vibration signal belongs and a corresponding target early warning grade;
and sending an early warning prompt to a user by using a target prompt tone corresponding to the target early warning level.
8. The piezoelectric sensor of claim 6, wherein the third determination submodule is further configured to:
constructing a stress loss influence matrix of the target object according to the displacement distance of each test point and the stress loss value corresponding to the unit displacement;
integrating the displacement distance of each test point and constructing an integral displacement change matrix of the target object;
constructing a stress loss identification model of the target object according to the stress loss influence matrix and the overall displacement change matrix of the target object;
generating an auxiliary function of a stress loss identification model of the target object;
determining a stress loss coefficient of each test point according to the stress loss influence matrix of the target object;
calculating the stress loss value of each test point according to the displacement distance and the stress loss coefficient of each test point by using the auxiliary function of the stress loss identification model;
constructing a curve graph of the stress loss value of the target object along with the change of the stress value according to the stress value of each test point and the stress loss value of the test point;
screening a relaxation curve from the curve graph, and acquiring a target stress value and a target stress loss value corresponding to the relaxation curve;
calculating the stress loss rate of the target object under the target stress value by using the target stress value, the target stress loss value and the compressive strength, the tensile strength and the deformation modulus of the target object;
and adjusting the deformation of the meta-model of the target object according to the stress loss rate to obtain the adjusted deformation, and confirming the adjusted deformation of the meta-model as the final deformation of the meta-model of the target object.
9. Microphone, characterized in that the microphone substrate is provided with a piezoelectric sensor according to claims 1-7.
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| CN202110726784.6A Withdrawn CN113588069A (en) | 2021-06-29 | 2021-06-29 | Piezoelectric sensor and microphone |
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| CN (1) | CN113588069A (en) |
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Application publication date: 20211102 |