CN115307774B - Object surface temperature field detection method and system based on ultrasonic guided waves - Google Patents
Object surface temperature field detection method and system based on ultrasonic guided waves Download PDFInfo
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Abstract
The invention provides an object surface temperature field detection method and system based on ultrasonic guided waves, comprising the steps of carrying out layout on excitation and receiving points of acoustic wave signals in a region to be detected, and determining surface temperature measuring points of a temperature field; determining a transmission-receiving path of an ultrasonic guided wave effective signal and a polling sequence of transmission and reception of an acoustic wave signal; the method comprises the steps of obtaining the ultrasonic signal distortion condition of any point in a surface temperature field of a detection object through a tomography algorithm (RAPID) based on probability damage detection reconstruction, then combining a thermocouple temperature sensor, obtaining the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of a detection area and the surface temperature through a least square polynomial function curve fitting algorithm, indirectly obtaining the absolute temperature value of any point of the detection surface, designing a sensor network structure according to the shape of the detected area, and having the advantages of small installation space and no space limitation.
Description
Technical Field
The disclosure relates to the technical field of nondestructive testing of structural health states, in particular to an object surface temperature field detection method and system based on ultrasonic guided waves.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In most environmentally complex industrial manufacturing processes, the temperature field is a common physical quantity and is an important parameter for characterizing the thermophysical properties of objects. The accurate measurement and control of the temperature field is significant in the aspects of saving social resources and improving the thermal efficiency of equipment.
The temperature field can be detected in various ways, and can be broadly classified into two types, contact type and non-contact type. Contact temperature field measurement techniques typically require that a temperature sensor be in direct contact with the object to be measured in order to obtain the temperature at the measurement location. However, the contact temperature measurement technology has some limitations, for example, the temperature measurement element may affect the temperature field distribution of the measured object, and when the measured object has the characteristics of corrosiveness, etc., the temperature measurement element may be affected. The non-contact temperature field measuring technology includes that a sensor is not in direct contact with a measured object, and belongs to non-immersion measuring technology. The acoustic temperature measurement method has the advantages of high response speed, high measurement precision, no interference on the temperature distribution of the measured object, no influence by the measured object and the like, and the acoustic temperature measurement method is a non-contact temperature measurement method and has the advantages of high precision, large measurement range, real-time continuity, convenient equipment installation and maintenance and the like, so that the acoustic temperature measurement is outstanding in a plurality of temperature measurement methods.
However, the inventor finds that in the existing acoustic temperature measurement method, the problem that absolute temperature cannot be acquired exists, and the installation of the acoustic wave acquisition device occupies a certain space, so that the improper installation of the device has space limitation on the certain space, and the occupied space resource is relatively large.
Disclosure of Invention
In order to solve the problems, the disclosure provides an object surface temperature field detection method and system based on ultrasonic guided waves, which combines ultrasonic guided wave detection and thermocouple detection, establishes a relationship between the ultrasonic guided waves and a detected object surface temperature field, and fits a relationship between the distortion condition of ultrasonic signals and the temperature of any point in a detected area surface temperature field by adopting a corresponding method, thereby indirectly obtaining an absolute temperature value of any point of a detected surface.
According to some embodiments, the present disclosure employs the following technical solutions:
an object surface temperature field detection method based on ultrasonic guided waves comprises the following steps:
The method comprises the steps of carrying out layout on excitation and receiving points of acoustic signals in a region to be detected, and determining temperature measuring points of the surface of a temperature field;
Determining a transmission-receiving path of an ultrasonic guided wave effective signal and a polling sequence of transmission and reception of an acoustic wave signal;
Exciting an ultrasonic guided wave in a region to be detected, collecting ultrasonic guided wave signals, extracting an effective signal section, and establishing a relation between the ultrasonic guided wave and a surface temperature field of a detected object;
And acquiring the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected, and combining the relationship between the ultrasonic guided wave and the surface temperature field of the object to be detected to obtain the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected and the temperature, thereby indirectly acquiring the absolute temperature value of any point of the detection surface.
According to another embodiment, the present disclosure further adopts the following technical scheme:
an object surface temperature field detection system based on ultrasonic guided waves, comprising:
the ultrasonic transducer is used for exciting ultrasonic guided waves in the area to be detected and collecting ultrasonic guided wave signals;
the thermocouple temperature sensor extracts an effective signal section and establishes a relation between the ultrasonic guided wave and a measured object surface temperature field;
The data processing module is used for acquiring the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected, and combining the relationship between the ultrasonic guided wave and the surface temperature field of the object to be detected to obtain the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected and the temperature, so that the absolute temperature value of any point on the detection surface is indirectly acquired.
Compared with the prior art, the beneficial effects of the present disclosure are:
According to the method, the ultrasonic signal distortion condition of any point in the surface temperature field of the detection object is obtained through a tomography algorithm (RAPID) based on probability damage detection reconstruction, then a thermocouple temperature sensor is combined, the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the detection area and the surface temperature is obtained through a least square polynomial function curve fitting algorithm, the absolute temperature value of any point of the detection surface is indirectly obtained, the method for non-contact temperature distribution measurement is adopted, ultrasonic guided waves with the frequency being more than 20kHz are used as detection media, ultrasonic energy is adopted to excite ultrasound, ultrasonic signals after surface propagation are collected, and the absolute temperature measurement problem is solved through the cooperation of the ultrasonic sensor and the thermocouple.
The intelligent skin structure formed by the ultrasonic transducer and the flexible circuit board can be designed according to the shape of the area to be tested, and the intelligent skin structure has the advantages of small installation and no limitation of space.
The method can acquire the absolute temperature value of any point in the detected area, designs a temperature field reconstruction algorithm, constructs the relation between the ultrasonic guided wave and the surface temperature field by combining a least square polynomial function curve fitting algorithm based on a probability damage detection reconstruction algorithm, and acquires the absolute temperature value of the surface temperature field by combining a thermocouple sensor.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a mounting layout diagram of an ultrasonic transducer and thermocouple temperature sensor in an embodiment of the present disclosure;
FIG. 2 is a graph comparing ultrasonic guided wave aberration signals with reference signals in the time domain in accordance with an embodiment of the present disclosure;
FIG. 3 is a flow chart of a data acquisition and processing method of an embodiment of the present disclosure;
FIG. 4 is a flow chart of a surface temperature field imaging calculation method of an embodiment of the present disclosure;
the specific embodiment is as follows:
The disclosure is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Example 1
An embodiment of the present disclosure provides an object surface temperature field detection method based on ultrasonic guided waves, as shown in fig. 3, including the steps of:
S101: the method comprises the steps of carrying out layout on excitation and receiving points of acoustic signals in a region to be detected, and determining temperature measuring points on the surface of a temperature field;
s102: determining a transmission-receiving path of an ultrasonic guided wave effective signal and a polling sequence of transmission and reception of an acoustic wave signal;
S103: exciting an ultrasonic guided wave in a region to be detected, collecting ultrasonic guided wave signals, extracting an effective signal section, and establishing a relation between the ultrasonic guided wave and a surface temperature field of a detected object;
s104: and acquiring the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected, and combining the relationship between the ultrasonic guided wave and the surface temperature field of the object to be detected to obtain the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected and the temperature, thereby indirectly acquiring the absolute temperature value of any point of the detection surface.
Specifically, as an embodiment, the excitation and receiving points of the acoustic wave signal are laid out in the to-be-detected area, and the mode of determining the surface temperature measuring point of the temperature field is as follows:
An ultrasonic transducer is selected as an acoustic transceiver to construct a temperature field reconstruction system, an integrated intelligent layer is designed by combining the ultrasonic transducer and a thermocouple, as shown in fig. 1, the ultrasonic transducer is used for exciting and receiving acoustic signals of ultrasonic guided waves, the thermocouple temperature sensor is used for establishing the connection between the distortion degree of the ultrasonic guided waves and absolute temperature of the temperature field, namely absolute calibration is carried out on relative temperature values measured by guided waves.
Specifically, 8 ultrasonic transducers S1, S2, S3, S4, S5, S6, S7, S8 and 8 thermocouple temperature sensors T1, T2, T3, T4, T5, T6, T7, T8 are sequentially placed on the circumference of the circle in a clockwise order, which is also a polling order for signal excitation and reception.
Further, the propagation-receiving paths of the ultrasonic guided wave effective signals are determined, and the internal signal propagation paths are shown as broken lines in fig. 1, so that the excitation propagation paths can fully cover the detection range by arranging a large number of signal excitation-receiving paths, thereby achieving the effect of detecting signals in a large range. But the selection of the number of ultrasonic transducers and the placement of the ultrasonic transducers are considered as follows:
1) The number of ultrasonic transducers is selected, because the optimal length of the ultrasonic guided wave paths is about 50mm-500mm, if the number of the guided wave paths is too small, the path density in the detection area is too low, the measurement accuracy of the temperature field is reduced, and if the number of the guided wave paths is too large, the number of piezoelectric transducers is required to be increased, and the design and manufacturing cost is increased. Therefore, the size of the detection area, the acoustic wave detection range and the temperature field reconstruction accuracy need to be comprehensively considered, and a proper number of sensors and arrangement modes need to be selected. The present disclosure takes a circular measured area with a diameter of 30cm as an example, and 8 ultrasonic transducer structures in circular arrangement are selected.
2) The circular temperature measuring area is selected, and the honeycomb-shaped sensor arrangement strategy is adopted, so that the occurrence of the condition of path resource waste can be well avoided.
3) And a wave-absorbing material is stuck at the boundary of the object region to be detected, so that signal reflection is reduced, and the influence of boundary reflection is reduced.
As an embodiment, the specific data acquisition and processing procedure is:
firstly, exciting ultrasonic guided waves in a region to be detected, collecting ultrasonic guided wave signals, extracting effective signal segments, and establishing a relation between the ultrasonic guided waves and a surface temperature field of an object to be detected. And extracting an effective signal segment of the reference signal and the actual signal in the time domain under the ultrasonic guided wave propagation path, calculating the difference of the two signals, and detecting the temperature of the area to enable the acoustic wave signal to be distorted in the propagation process.
The ultrasonic guided wave surface temperature field detection technology belongs to a non-contact temperature field measurement technology, and the temperature measurement principle is based on the fact that in a measured object medium, the propagation of ultrasonic guided waves is affected by temperature change, and the response signals of the guided waves have differences at different temperatures, so that the ultrasonic signals propagated through the solid surface are distorted. The Lamb wave is adopted as an ultrasonic excitation signal, so that the occurrence of a frequency dispersion phenomenon can be effectively inhibited, the excited Lamb wave is sensitive to temperature change, and meanwhile, the analysis and processing difficulty after signal acquisition can be reduced. And modulating the ultrasonic guided wave signal by adopting a Hanning window, wherein the modulated signal expression is shown as the following formula (1), wherein I (t) is an excited guided wave signal, f c is the center frequency of an excitation signal, H (t) is a Heaviside step function, n is the number of signal wave peaks, and t is the sampling time.
I(t)＝[H(t)-H(t-n/fc)]×(1-cos(2πfct/n))sin(2πfct) (1)
As shown in fig. 2, in a certain ultrasonic guided wave propagation path, the effective signal section of the reference signal and the actual signal in the time domain, the dotted line is the effective signal section of the reference signal, that is, the guided wave signal in the normal temperature state of the detection area, and the solid line is the effective signal section of the actual signal, that is, the guided wave signal in the temperature change state of the detection area. The difference between the two signals of fig. 2 shows that detecting the remaining temperature changes distorts the Lamb wave summary of the propagation process.
Secondly, the distortion degree between the actual signal and the reference signal propagated in the temperature change area is represented by a difference coefficient (SIGNAL DIFFERENCE Coefficeent, SDC) of the signal, wherein the expression of the SDC is as follows:
SDC＝1-ρ (2)
Wherein ρ is the correlation coefficient of the two signals, and the expression is:
wherein Cov (X, Y) is covariance, σ x and σ y are variances, and Cov (X, Y) and σ xσy are defined as:
where X k、Yk represents the magnitudes of the reference signal and the actual signal at the sample point, u x and u y represent the average of the reference signal and the actual signal, respectively, and k is the signal length of the effective signal segment. Thus, the value of SDC ranges from [0,1], if the temperature change on the excitation-sensing path differs significantly from the reference temperature signal change, then the value of SDC approaches 1, and if the difference is small, then SDC is approximately equal to 0.
Next, an image is reconstructed by constructing a temperature field of the sensing path adjacent to the elliptical region using the probability distribution function. Each SDC value is distributed over an ellipse with actuator i and receiver j as the focal points of the ellipse. The probability distribution function of the path from the actuator i to the sensor j is calculated as follows:
Sij(x,y)＝0,β<Rij(x,y) (7)
Where the parameter β controls the size of the vicinity of the excitation-sensing path, which is typically a value slightly greater than 1, β is too large to affect the resolution of the image, and too small to limit the imaging range, typically 1.05. S ij (x, y) in the above formula (7) is the ratio of the sum of the distances from any temperature point (x, y) in the temperature detection area to the exciter and the sensor to the ultrasonic propagation path length, and the formula is:
Lamb wave signals received on a single measuring path can only reflect the temperature condition of the adjacent area of the exciting-sensing path, if the temperature of the whole detecting area is obtained and the temperature imaging of the whole detecting surface is carried out. The temperature change degree P (x, y) of any point (x, y) in the temperature field can be obtained by weighting and superposing probability distribution functions, and is shown as a formula (9), wherein N is the total number of excitation-sensing paths in the sensing array:
and next, constructing a relation between the distortion degree P (x, y) of the ultrasonic guided wave signal of the detection area and the absolute temperature of the temperature field by using a least square quadratic polynomial function curve fitting algorithm. The detection area is provided with 8 temperature sensors, the absolute temperature value detected by the temperature sensors is used as an output value of a fitting polynomial, and the degree of distortion P (x, y) of the ultrasonic signal corresponding to eight points can be calculated by the formula (9) as an input value. The input value and output value data are:
[(P1,T1),(P2,T2),...,(P8,T8)] (10)
Let the quadratic polynomial be:
T(xi,w)＝w0+w1Pi+w2Pi 2 (11)
wherein P is univariate input, represents ultrasonic guided wave signal distortion degree P (x, y) of a corresponding point, T is an absolute temperature value of the corresponding point, and w 0,w1,w2 is a polynomial parameter. Using the square loss as a loss function, model and data are brought in, with:
The bias of w j is calculated and set to 0, and the following can be obtained:
That is to say,
Simplifying and obtaining:
Therefore, the quadratic polynomial coefficient w 0,w1,w2 can be obtained by solving the equation (16). Equation (16) is:
Substituting the formula (10) into the formula (16) to calculate AndThereby calculating the polynomial coefficient w 0,w1,w2.
Finally, the absolute temperature value of any point of the temperature field of the detection area is as follows:
T(x,y)＝w0+w1P(x,y)+w2P(x,y)2 (17)
Wherein T (x, y) is the absolute temperature of any point, P (x, y) is the distortion degree of the ultrasonic guided wave signal of the corresponding point, and w 0,w1,w2 is the polynomial coefficient. For the present embodiment, the expression of the absolute temperature value of any point of the temperature field of the detection area is:
T(x,y)＝-9.4057+258.4518P(x,y)-56.1479P(x,y)2 (18)
Example 2
One embodiment of the present disclosure provides an object surface temperature field detection system based on ultrasonic guided waves, comprising:
the ultrasonic transducer is used for exciting ultrasonic guided waves in the area to be detected and collecting ultrasonic guided wave signals;
the thermocouple temperature sensor extracts an effective signal section and establishes a relation between the ultrasonic guided wave and a measured object surface temperature field;
The data processing module is used for acquiring the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected, and combining the relationship between the ultrasonic guided wave and the surface temperature field of the object to be detected to obtain the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected and the temperature, so that the absolute temperature value of any point on the detection surface is indirectly acquired.
The ultrasonic transducers and the thermocouple temperature sensors are arranged in a honeycomb mode, a round temperature measuring area is selected, the ultrasonic transducers and the thermocouple temperature sensors with the same number are sequentially arranged on the circumference of the round temperature measuring area in a clockwise sequence, and the clockwise sequence is also used as a polling sequence for signal excitation and signal reception.
Specifically, as shown in fig. 1, the present disclosure designs an integrated intelligent layer by combining an ultrasonic transducer and a thermocouple, the ultrasonic transducer is used for exciting and receiving an acoustic wave signal of an ultrasonic guided wave, the thermocouple temperature sensor is used for establishing a connection between a distortion degree of the ultrasonic guided wave signal and an absolute temperature of a temperature field, that is, absolute calibration is performed on a relative temperature value measured by the guided wave, in the present disclosure, the ultrasonic transducer and the thermocouple are arranged in a honeycomb manner, a circular temperature measuring area is selected, 8 ultrasonic transducers S1, S2, S3, S4, S5, S6, S7, S8 and 8 thermocouple temperature sensors T1, T2, T3, T4, T5, T6, T7, T8 are sequentially placed on a circumference of the circular area in a clockwise order, and the order is also a polling order for signal excitation and reception.
The internal signal propagation path is shown by a broken line in fig. 1, and by providing a large number of signal excitation-reception paths, the excitation propagation path can cover the entire detection range, thereby achieving the effect of detecting a large-scale signal. The selection and placement of the number of ultrasound transducers requires attention to the following several issues.
1) The number of ultrasonic transducers is selected. Because the optimal length of the ultrasonic guided wave path is about 50mm-500mm, if the number of the guided wave paths is too small, the path density in the detection area range is too low, the measurement accuracy of the temperature field is reduced, and if the number of the guided wave paths is too large, the number of piezoelectric transducers is required to be increased, and the design and manufacturing cost is increased. Therefore, the size of the detection area, the acoustic wave detection range and the temperature field reconstruction accuracy need to be comprehensively considered, and a proper number of sensors and arrangement modes need to be selected. Taking a circular measured area with the diameter of 30cm as an example, 8 ultrasonic transducer structures which are circularly arranged are selected, as shown in fig. 1.
2) The circular temperature measuring area is selected, and the honeycomb-shaped sensor arrangement strategy is adopted, so that the occurrence of the condition of path resource waste is better avoided.
3) And a wave-absorbing material is stuck at the boundary of the structure to weaken signal reflection, so that the influence of boundary reflection is reduced.
According to the method, the ultrasonic signal distortion condition of any point in the surface temperature field of the detection object is obtained through a tomography algorithm (RAPID) based on probability damage detection reconstruction, then a thermocouple temperature sensor is combined, the relation between the ultrasonic signal distortion condition of any point in the surface temperature field of the detection area and the surface temperature is obtained through a least square polynomial function curve fitting algorithm, and the absolute temperature value of any point of the detection surface is indirectly obtained.
As an example, as shown in fig. 4, the surface temperature field imaging calculation process is:
s1: calculating the correlation coefficient rho between the variable-temperature area signal and the reference signal under each propagation path
S2: calculating SDC values of guided wave signals under various propagation paths
S3: calculating the probability S (x, y) of any point in the detection area affected by each effective propagation path
S4: calculating the distortion degree P (x, y) of the ultrasonic guided wave signal at any point in the detection area
S5: acquiring absolute temperature value T (x, y) of a temperature sensor and deformation degree P (x, y) of guided wave signals of corresponding points
S6: constructing a quadratic polynomial relation expression between the distortion degree P of the guided wave signal in the detection area and the absolute temperature T of the temperature field by adopting a least square polynomial function curve fitting algorithm to obtain polynomial coefficients W0, W1 and W2
S7: obtaining an absolute temperature value expression of any point in a temperature field of a detection area:
T(x,y)＝w0+w1P(x,y)+w2P(x,y)2
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the specific embodiments of the present disclosure have been described above with reference to the drawings, it should be understood by those skilled in the art that the present disclosure is not limited to the specific embodiments, but rather, is limited to the specific embodiments,
Various modifications or variations that may be made by those skilled in the art without the exercise of inventive faculty are still within the scope of the present disclosure.
Claims (6)
1. An object surface temperature field detection method based on ultrasonic guided waves is characterized by comprising the following steps:
The method comprises the steps of carrying out layout on excitation and receiving points of acoustic signals in a region to be detected, and determining temperature measuring points on the surface of a temperature field;
Determining a transmission-receiving path of an ultrasonic guided wave effective signal and a polling sequence of transmission and reception of an acoustic wave signal;
Exciting an ultrasonic guided wave in a region to be detected, collecting ultrasonic guided wave signals, extracting an effective signal section, and establishing a relation between the ultrasonic guided wave and a surface temperature field of a detected object; an ultrasonic transducer is adopted to excite and receive an acoustic wave signal of ultrasonic guided waves, and a thermocouple temperature sensor is used for establishing a connection between the distortion degree of the ultrasonic guided wave signal and the absolute temperature of a temperature field; setting an excitation-receiving path of an ultrasonic guided wave signal, and fully covering the detection range by the excitation propagation path;
Acquiring the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected, and combining the relationship between the ultrasonic guided wave and the surface temperature field of the object to be detected to obtain the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected and the temperature, thereby indirectly acquiring the absolute temperature value of any point on the detection surface; extracting an effective signal section of a reference signal and an actual signal in a time domain under an ultrasonic guided wave propagation path, calculating the difference of the two signals, and detecting the temperature of a region to enable the acoustic wave signal to be distorted in the propagation process; the distortion degree between an actual signal and a reference signal propagated in a temperature change area is represented by a difference coefficient of the signal; the expression of the difference coefficient SDC of the signal is:
wherein, Is the correlation coefficient of the two signals;
the reference signal is a guided wave signal in a normal temperature state of the detection area, and the actual signal is a guided wave signal in a temperature changing state of the detection area.
2. The method for detecting the object surface temperature field based on the ultrasonic guided waves according to claim 1, wherein the ultrasonic transducers and the thermocouple temperature sensors are arranged in a honeycomb mode, a round temperature measuring area is selected, the same number of ultrasonic transducers and thermocouple temperature sensors are sequentially arranged on the circumference of the round temperature measuring area in a clockwise sequence, and the clockwise sequence is also used as a polling sequence for signal excitation and signal reception.
3. The method for detecting the temperature field of the surface of an object based on ultrasonic guided waves according to claim 1, wherein a wave absorbing material is stuck at the boundary of the area of the object to be detected to reduce the reflection of signals.
4. An object surface temperature field detection system based on ultrasonic guided waves, comprising:
the ultrasonic transducer is used for exciting ultrasonic guided waves in the area to be detected and collecting ultrasonic guided wave signals;
The thermocouple temperature sensor extracts an effective signal section and establishes a relation between the ultrasonic guided wave and a measured object surface temperature field; an ultrasonic transducer is adopted to excite and receive an acoustic wave signal of ultrasonic guided waves, and a thermocouple temperature sensor is used for establishing a connection between the distortion degree of the ultrasonic guided wave signal and the absolute temperature of a temperature field; setting an excitation-receiving path of an ultrasonic guided wave signal, and fully covering the detection range by the excitation propagation path;
The data processing module is used for acquiring the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected, and combining the relationship between the ultrasonic guided wave and the surface temperature field of the object to be detected to obtain the relationship between the ultrasonic signal distortion condition of any point in the surface temperature field of the area to be detected and the temperature, so as to indirectly acquire the absolute temperature value of any point on the detection surface; extracting an effective signal section of a reference signal and an actual signal in a time domain under an ultrasonic guided wave propagation path, calculating the difference of the two signals, and detecting the temperature of a region to enable the acoustic wave signal to be distorted in the propagation process; the distortion degree between an actual signal and a reference signal propagated in a temperature change area is represented by a difference coefficient of the signal;
the expression of the difference coefficient SDC of the signal is:
wherein, Is the correlation coefficient of the two signals;
the reference signal is a guided wave signal in a normal temperature state of the detection area, and the actual signal is a guided wave signal in a temperature changing state of the detection area.
5. The object surface temperature field detection system based on ultrasonic guided waves according to claim 4, wherein the ultrasonic transducers and the thermocouple temperature sensors are arranged in a honeycomb mode, a round temperature measurement area is selected, the same number of ultrasonic transducers and thermocouple temperature sensors are sequentially arranged on the circumference of the round temperature measurement area in a clockwise sequence, and the clockwise sequence is also used as a polling sequence for signal excitation and signal reception.
6. An electronic device comprising a memory, a processor, and a program stored on the memory and executable on the processor, wherein the processor, when executing the program, performs the steps in the ultrasound guided wave based object surface temperature field detection method of any one of claims 1-3.
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