CN112731250B - Ultrahigh frequency sensor characteristic verification method based on return loss and terminal equipment - Google Patents

Abstract

The present invention is applicable to the technical field of sensor detection, and provides a method for verifying characteristics of a UHF sensor based on return loss and a terminal device, wherein the method for verifying characteristics of a UHF sensor based on return loss includes: According to the preset number of scanning points in the frequency band, measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear to obtain the target return loss curve of the target UHF sensor; obtain the target return loss curve and reference echo The correlation coefficient of the loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one UHF sensor measured in advance, and the at least one UHF sensor is of the same type as the target UHF sensor; in the correlation coefficient When the value is less than the preset threshold, the target UHF sensor is determined as a UHF sensor with abnormal characteristics in the preset frequency band. The invention can solve the problem of inaccurate characteristic verification.

Description

UHF sensor characteristic verification method and terminal equipment based on return loss

technical field

The invention belongs to the technical field of sensor detection, and in particular relates to a method for verifying characteristics of a UHF sensor based on return loss and a terminal device.

Background technique

In recent years, Gas Insulated Switchgear (GIS) has been widely used in power systems, especially in the fields of high voltage, ultra-high voltage and ultra-high voltage. GIS equipment can be composed of circuit breakers, isolating switches, grounding switches, transformers, arresters, busbars, connectors and outgoing terminals. Sulfur fluoride (SF6) insulating gas. In order to ensure the safe operation of GIS equipment, UHF detection methods are usually used to detect GIS equipment. In UHF detection, UHF sensor is a key device, and its sensitivity and other characteristics directly determine the accuracy of UHF detection. As shown in Figure 1, Figure 1 shows a three-phase GIS equipment, wherein S1 and S2 in A-phase, S3 and S4 in B-phase, and S5 and S6 in C-phase are all UHF sensors .

At present, the verification method of the UHF sensor has the problem of inaccurate characteristic verification.

SUMMARY OF THE INVENTION

In view of this, embodiments of the present invention provide a return loss-based characteristic verification method and terminal device for a UHF sensor, so as to solve the problem of inaccurate characteristic verification in the prior art.

A first aspect of the embodiments of the present invention provides a method for verifying characteristics of a UHF sensor based on return loss, including:

Measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scan points within a preset frequency band, and obtain the target return loss curve of the target UHF sensor; wherein, the preset number of scans The measurement interval of the point is the preset interval;

Obtain the correlation coefficient between the target return loss curve and the reference return loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one UHF sensor measured in advance, and the at least one UHF sensor is related to the target characteristic. High-frequency sensors are of the same type;

When the correlation coefficient is smaller than the preset threshold, the target UHF sensor is determined as a UHF sensor with abnormal characteristics within the preset frequency band.

Optionally, the reference return loss curve is an initial return loss curve measured by the target UHF sensor when it leaves the factory.

Optionally, the reference return loss curve is obtained according to the return loss curves of multiple UHF sensors measured on site, and the multiple UHF sensors and the target UHF sensor are installed in the same gas-insulated switchgear.

Optionally, before acquiring the correlation coefficient between the target return loss curve and the reference return loss curve, the method further includes:

Obtaining the respective return loss curves of the multiple UHF sensors; wherein, the respective return loss curves of the multiple UHF sensors are measured in the same manner, the measurement frequency band in the measurement method includes at least a preset frequency band, and the scan in the measurement method Points include at least a preset number of scan points;

Taking the average value of the parameter measurement values corresponding to the same scanning point in the respective return loss curves of the multiple UHF sensors to obtain the parameter measurement average value of each scanning point;

The reference return loss curve is obtained by measuring the average value of the parameters at each scanning point.

Optionally, obtain the correlation coefficient between the target return loss curve and the reference return loss curve, including:

Calculate the first integral value, the second integral value and the third integral value; wherein, the first integral value is the integral value of the product of the product of the measurement parameter values corresponding to each scanning point in the target return loss curve and the reference return loss curve respectively , the second integral value is the integral value of the product of the measurement parameter value corresponding to each scanning point in the target return loss curve and itself, and the third integral value is the measurement parameter value corresponding to each scanning point in the reference return loss curve and its the integral value of the product of itself;

Obtain the square root value of the product of the second integral value and the third integral value;

The ratio of the first integral value to the square root value is determined as the correlation coefficient.

Optionally, the preset frequency band is a subset of [300MHz, 3GHz].

Optionally, the subset includes at least a high frequency subset, an intermediate frequency subset and a low frequency subset.

Optionally, the preset frequency band is [300MHz, 1.5GHz], the preset interval is 1MHz, and the preset threshold value is 0.8.

A second aspect of the embodiments of the present invention provides a terminal device, including:

The measurement module is used to measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points within a preset frequency band, and obtain the target return loss curve of the target UHF sensor; wherein, The measurement interval of the preset number of scan points is the preset interval;

The obtaining module is used to obtain the correlation coefficient between the target return loss curve and the reference return loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one ultra-high frequency sensor measured in advance, and at least one ultra-high The frequency sensor is the same type as the target UHF sensor;

The verification and analysis module is configured to determine the target UHF sensor as a UHF sensor with abnormal characteristics in the preset frequency band when the correlation coefficient is smaller than the preset threshold.

Optionally, the reference return loss curve is an initial return loss curve measured by the target UHF sensor when it leaves the factory.

Optionally, the reference return loss curve is obtained according to the return loss curves of multiple UHF sensors measured on site, and the multiple UHF sensors and the target UHF sensor are installed in the same gas-insulated switchgear.

Optionally, the get module is also used to:

Obtaining the respective return loss curves of the multiple UHF sensors; wherein, the respective return loss curves of the multiple UHF sensors are measured in the same manner, the measurement frequency band in the measurement method includes at least a preset frequency band, and the scan in the measurement method Points include at least a preset number of scan points;

Taking the average value of the parameter measurement values corresponding to the same scanning point in the respective return loss curves of the multiple UHF sensors to obtain the parameter measurement average value of each scanning point;

The reference return loss curve is obtained by measuring the average value of the parameters at each scanning point.

Optionally, the get module is also used to:

Calculate the first integral value, the second integral value and the third integral value; wherein, the first integral value is the integral value of the product of the product of the measurement parameter values corresponding to each scanning point in the target return loss curve and the reference return loss curve respectively , the second integral value is the integral value of the product of the measurement parameter value corresponding to each scanning point in the target return loss curve and itself, and the third integral value is the measurement parameter value corresponding to each scanning point in the reference return loss curve and its the integral value of the product of itself;

Obtain the square root value of the product of the second integral value and the third integral value;

The ratio of the first integral value to the square root value is determined as the correlation coefficient.

Optionally, the preset frequency band is a subset of [300MHz, 3GHz].

Optionally, the subset includes at least a high frequency subset, an intermediate frequency subset and a low frequency subset.

Optionally, the preset frequency band is [300MHz, 1.5GHz], the preset interval is 1MHz, and the preset threshold value is 0.8.

A third aspect of the embodiments of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, when the processor executes the computer program The steps of the method as described in the first aspect are implemented.

The beneficial effects that the embodiment of the present invention has compared with the prior art are:

In the embodiment of the present invention, the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear can be measured according to a preset number of scanning points in a preset frequency band, and the target return loss curve of the target UHF sensor can be obtained, and then When the correlation coefficient between the target return loss curve and the reference return loss curve is smaller than the preset threshold, the target UHF sensor is determined as a UHF sensor with abnormal characteristics in the preset frequency band. Since the reference return loss curve can be regarded as a standard curve, the correlation coefficient between the target return loss curve and the reference return loss curve can be used to reflect the similarity between the two, and then the similarity between the curves can be calculated. , which can reflect the characteristics of all measured parameters of the target UHF sensor in the preset frequency band. In addition, since the above verification result is the verification result of the target UHF sensor in the preset frequency band, different sub-frequency bands can be selected to verify the target UHF sensor, and the verification results in different sub-frequency bands can be obtained. In this way, the parameter characteristics of the target UHF sensor in different local frequency ranges can be reflected, thereby comprehensively reflecting the overall and local characteristic information of all the measured parameters of the target UHF sensor, and then comprehensively evaluating the UHF sensor's performance. Its own characteristics such as sensitivity and the installation and construction conditions solve the problem of inaccurate characteristic verification.

In addition, it can effectively carry out the on-site verification of the UHF sensor, and timely find the detection blind area of the partial discharge signal, so as to better exert the practical application effect and function of the UHF detection technology, and improve the operation of the UHF detection equipment. reliability and application level.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present invention. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic diagram of a three-phase GIS device provided by an embodiment of the present invention;

2 is a flowchart of steps of a method for verifying characteristics of a UHF sensor based on return loss provided by an embodiment of the present invention;

3 is a schematic diagram of a return loss curve H ₀ (f) provided by an embodiment of the present invention;

FIG. 4 is a schematic diagram of a return loss curve H ₁ (f) provided by an embodiment of the present invention;

FIG. 5 is a schematic diagram of a terminal device according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a terminal device according to an embodiment of the present invention.

Detailed ways

In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

In order to illustrate the technical solutions of the present invention, the following specific embodiments are used for description.

As described in the background art, the existing verification methods for UHF sensors have the problem of inaccurate characteristic verification. The applicant has found through research that the existing method for verifying the characteristics of UHF sensors mainly calculates the average value of the measured parameters in the entire detection frequency band, and then compares the average value with the allowable deviation to obtain the sensitivity and other characteristics. Check the result. However, the above method of calculating the average value is relatively general and not accurate enough to describe the correlation between the two curves. At the same time, since the S-parameter fluctuates significantly with the frequency, the method of taking the overall average value can neither reflect the parameter characteristics at the local frequency, easily cause a large amount of information loss, nor can it reflect the overall characteristics of all the measured parameters well. . Therefore, the existing methods cannot comprehensively and accurately evaluate the characteristics of the UHF sensor, resulting in inaccurate characteristic verification.

In order to solve the problems of the prior art, the embodiments of the present invention provide a method and a terminal device for verifying characteristics of a UHF sensor based on a return loss. The following first introduces the method for verifying the characteristics of the UHF sensor based on the return loss provided by the embodiment of the present invention.

The execution subject of the UHF sensor characteristic verification method based on the return loss may be a terminal device with data processing capability, such as a network analyzer.

As shown in FIG. 2 , the method for verifying the characteristics of a UHF sensor based on the return loss provided by the embodiment of the present invention may include the following steps:

Step S210: Measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points in a preset frequency band, and obtain a target return loss curve of the target UHF sensor.

In some embodiments, the target UHF sensor may be any UHF sensor in a gas-insulated switchgear. The S11 or S22 parameter of the target UHF sensor can be measured according to a preset number of scanning points within a preset frequency band to obtain its return loss curve, that is, the target return loss curve. It should be noted that the return loss curve in the preset frequency band can reflect characteristics such as the sensitivity of the UHF sensor.

In some embodiments, a single-port network analyzer can be used to measure the S11 parameter of the target UHF sensor to obtain the target return loss curve.

In some embodiments, a dual-port network analyzer may be used to measure the S11 or S22 parameters of the target UHF sensor to obtain the target return loss curve.

In some embodiments, the preset frequency band may be a subset of [300MHz, 3GHz], eg [300MHz, 1.5GHz]. The number of scanning points may be a preset number, which may be determined by a measurement interval, wherein the measurement interval may be a preset interval. Taking the preset frequency band as [300MHz, 1.5GHz] as an example, if the preset interval is 1MHz, the corresponding number of scanning points may be 1200.

In some embodiments, in order to reflect the parameter characteristics of the target UHF sensor at the local frequency, such as the parameter characteristics of the high frequency band, the middle frequency band or the low frequency band, the preset frequency band can be divided into high frequency in the range of [300MHz, 3GHz] subset, medium frequency subset or low frequency subset. Specifically, for example, when [300MHz, 1.5GHz] is selected as the preset frequency band, the high frequency subset can be [1GHz, 1.5GHz], the intermediate frequency subset can be [500MHz, 1GHz], and the low frequency subset can be [300MHz, 500MHz].

Further, if conditions permit, in order to obtain more detailed parameter characteristics of the target UHF sensor, the frequency range of the preset frequency band and its subsets can be narrowed, such as [300MHz, 350MHz], [350MHz, 400MHz], [ 500MHz, 530MHz] and so on.

Step S220: Obtain the correlation coefficient between the target return loss curve and the reference return loss curve.

In some embodiments, the reference return loss curve may be considered a standard return loss curve for all UHF sensors of the same type as the target UHF sensor. Then, the similarity of the return loss curve of a UHF sensor to the reference return loss curve, that is, the correlation coefficient, can be used to detect whether the sensitivity and other characteristics of the UHF sensor are abnormal. If the correlation coefficient is larger, it indicates that The higher the degree of similarity between the two is, the lower the probability that the characteristic of the UHF sensor to be detected is abnormal is correspondingly.

Specifically, the reference return loss curve may be obtained according to a pre-measured return loss curve of at least one UHF sensor, where the at least one UHF sensor needs to be of the same type as the target UHF sensor. For example, the reference return loss curve can be obtained according to a large number of initial return loss characteristic tests conducted by the equipment manufacturer on the UHF sensor before leaving the factory, or it can be obtained according to the characteristics of other UHF sensors of the same type belonging to the same gas-insulated switchgear. Field actual measurement results are obtained.

In some embodiments, the reference return loss curve may be an initial return loss curve measured by the target UHF sensor when it leaves the factory.

In some embodiments, considering the different installation environments and installation methods of the UHF sensors installed on site, a reference return loss curve may be obtained according to the return loss curves of multiple UHF sensors measured on site. It should be noted that the above-mentioned multiple UHF sensors and the target UHF sensor are installed in the same gas-insulated switchgear.

Optionally, the process of obtaining the reference return loss curve according to the return loss curves of the multiple UHF sensors measured on site may be as follows: obtaining the respective return loss curves of the multiple UHF sensors; The parameter measurement values corresponding to the same scanning point in the respective return loss curves of each UHF sensor are averaged to obtain the parameter measurement average value of each scanning point; the reference return loss is obtained according to the parameter measurement average value of each scanning point. curve.

In some embodiments, the respective S11 or S22 parameters of the multiple UHF sensors may be measured in the same measurement manner to obtain the respective return loss curves of the UHF sensors. Afterwards, the parameter measurement values corresponding to the same scanning point in the respective return loss curves of the obtained multiple UHF sensors may be averaged to obtain the parameter measurement average value of each scanning point. After that, the average value can be measured according to the parameters of each scanning point, and the curve can be redrawn, so that the reference return loss curve can be obtained.

It is easy to understand that the reference return loss curve can be regarded as the average curve of the respective return loss curves of multiple UHF sensors. Therefore, the reference return loss curve can reflect the actual sensitivity of the UHF sensors installed on site, etc. Then, according to the reference return loss curve, it can be judged whether the sensitivity and other characteristics of other UHF sensors installed on site are abnormal.

It should be noted that the above-described measurement method for measuring multiple UHF sensors on-site needs to be consistent with the measurement method for the target return loss curve, that is, the measurement method for measuring multiple UHF sensors on-site. The frequency band includes at least a preset frequency band, and the scanning points include at least a preset number of scanning points. In this way, the obtained reference return loss curve and target return loss curve have a basis for comparison.

Optionally, the specific processing of obtaining the correlation coefficient between the target return loss curve and the reference return loss curve in the above step S220 may include: calculating the first integral value, the second integral value and the third integral value; The first integral value is the integral value of the product of the measured parameter values corresponding to each scanning point in the target return loss curve and the reference return loss curve, and the second integral value is the measurement corresponding to each scanning point in the target return loss curve The integral value of the product of the parameter value and itself, the third integral value is the integral value of the product of the measured parameter value corresponding to each scan point in the reference return loss curve and the product of itself; obtain the product of the second integral value and the third integral value The square root value of ; determine the ratio of the first integral value to the square root value as the correlation coefficient.

In some embodiments, the error energy can be used to measure how similar the target return loss curve and the reference return loss curve are.

Taking the reference return loss curve as H _o (f) and the target return loss curve as H _i (f) as an example, the error energy E of the two can be calculated as the square of H ₀ (f)-a*H _i (f) to express the integral of , namely:

E=∫(H ₀ (f)-a*H _i (f)) ² df

The upper and lower limit values of the integral operation may be the upper and lower limit values of the preset frequency band. In addition, the choice of multiple a needs to minimize the error energy E. By taking the derivation of the function to find the extreme value, when a is the integral of H _o (f)*H _i (f) and H _i (f)*H _i (f ) integral ratio, the error energy E can be minimized, that is,

After that, the correlation coefficient P between H ₀ (f) and H _i (f) can be calculated, where the difference between the square of P and 1 can be called the relative error energy, in addition, the error energy E and H ₀ (f)*H The ratio of ₀ (f) integrals satisfies the following formula:

Solving the above equation gives:

Wherein, the integral of H ₀ (f)*H _i (f) is the above-mentioned first integral value, that is, each scanning point in the target return loss curve H _i (f) and the reference return loss curve H ₀ (f) The integral value of the product of the corresponding measurement parameter values; the integral of H _i (f)*H _i (f) is the above-mentioned second integral value, that is, each scanning point in the target return loss curve H _i (f) corresponds to The integral value of the product of the measured parameter value and itself; the integral of H ₀ (f)*H ₀ (f) is the third integral value above, that is, the reference return loss curve H ₀ (f) corresponds to each scanning point The integral value of the product of the measured parameter value and itself.

It should be noted that, it can be proved mathematically that the modulus of the numerator in the above solution is smaller than the denominator, so the modulus of the correlation coefficient P will not be greater than 1. When the correlation coefficient P is 1, it indicates that the target return loss curve H _i (f) and the reference return loss curve H ₀ (f) are very similar; when the correlation coefficient P is 0, it indicates that the target return loss curve The similarity between H _i (f) and the reference return loss curve H ₀ (f) is poor. Whether the characteristics of the UHF sensor are abnormal can be measured by a preset threshold, such as 0.8. If the calculated correlation coefficient P is greater than or equal to the preset threshold, it can be considered that the characteristics of the detected UHF sensor meet the performance requirements, otherwise it is considered that the characteristics are abnormal.

Step S230 , when the correlation coefficient is smaller than the preset threshold, determine the target UHF sensor as a UHF sensor with abnormal characteristics in the preset frequency band.

In some embodiments, after obtaining the correlation coefficient between the target return loss curve and the reference return loss curve, if the correlation coefficient is less than a preset threshold, the target UHF sensor may be determined as a UHF sensor with abnormal characteristics ; if the correlation coefficient is greater than or equal to the preset threshold, the target UHF sensor may be determined as a UHF sensor with normal characteristics within the preset frequency band.

It should be noted that different preset thresholds can be set according to different preset frequency bands. Taking the preset frequency band as [300MHz, 1.5GHz] as an example, the corresponding preset threshold can be set to 0.8.

It is worth mentioning that when calibrating the target UHF sensor, different frequency range subsets can be selected for the preset frequency band, such as the high-frequency subset, the intermediate frequency subset or the low-frequency subset mentioned above, and then follow the The verification method provided by the embodiment of the present invention can obtain the correlation coefficient corresponding to each frequency range, and then can obtain the correlation coefficient of the target UHF sensor in the corresponding frequency range according to the relationship between the correlation coefficient in different frequency ranges and the preset threshold value. Check the result. In this way, according to the verification results of the target UHF sensor in each frequency range, the parameter characteristic information of the target UHF sensor in the local frequency range can be reflected, so as to comprehensively reflect all the measured parameters of the target UHF sensor. overall characteristics.

In some embodiments, in the return loss curve of the target UHF sensor measured in a preset frequency band, a frequency range when the return loss is too large can be defined by setting a certain threshold for the measured value of the S parameter As an invalid frequency band, for example, a curve segment in which the measured value of the S parameter is greater than a preset value, such as a curve segment corresponding to S11>-10dB. Due to the large return loss of the curve segments of these invalid frequency bands, not only the reference significance is low, but also the final verification result will be affected. Therefore, in the above step of calculating the correlation coefficient, the curve segments of the invalid frequency band can be eliminated, and the correlation coefficient can be calculated only according to the curve segments within the valid frequency band range where the measured value of the S parameter is less than a certain threshold, so as to optimize the verification result.

In order to better understand the method for verifying the characteristics of the UHF sensor based on the return loss provided by the above embodiments, a specific verification method is provided below.

A dual-port network analyzer can be used to detect each UHF sensor built in a GIS device. Specifically, 300MHz to 1.5GHz can be used as the detection frequency range, the scanning point is 1200, and the port1 and port2 ports of the dual-port network analyzer are respectively connected to the _two UHF sensors S1 and S2 installed _on the GIS equipment. The resulting return loss curves are H ₁ (f) and H ₂ (f), respectively. After that, connect the port1 and port2 ports of the network analyzer to the other two UHF sensors S ₃ and S ₄ on the GIS equipment respectively, and measure the return loss curves H ₃ (f) and H ₄ (f). By analogy, the return loss curves H ₁ (f), H ₂ (f), H ₃ (f)...H _n (f) of a total of n UHF sensors on the GIS equipment can be obtained, Among them, H ₁ (f), H ₂ ( _f ), H ₃ ( _f )... H _n (300), H _n (301), H _n (302)…H _n (1500)), the value of which is the S11 of the nth UHF sensor at 300MHz, 301MHz, 302MHz… The measured value of the S22 parameter in dB.

After that, compare the similarity between the reference return loss curve H ₀ (f) and the return loss curve H _i (f), that is, calculate the correlation coefficient Pi (i=1, 2, ... N), the preset threshold P _min can be Take 0.8. Taking H ₀ (f) and H ₁ (f) as examples, as shown in Figure 3 and Figure 4, Figure 3 shows a return loss curve H ₀ (f), and Figure 4 shows a return loss curve Loss curve H ₁ (f), calculate correlation coefficient P ₁ :

Assuming that P ₁ is calculated to be 0.5, since it is smaller than the preset threshold value of 0.8, the verification result of the UHF sensor S ₁ is abnormal in characteristics.

In the embodiment of the present invention, the target return loss curve of the target UHF sensor is obtained by measuring the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points in a preset frequency band , and then when the correlation coefficient between the target return loss curve and the reference return loss curve is less than the preset threshold, determine the target UHF sensor as a UHF sensor with abnormal characteristics in the preset frequency band. Since the reference return loss curve can be regarded as a standard curve, the correlation coefficient between the target return loss curve and the reference return loss curve can be used to reflect the similarity between the two, and then the similarity between the curves can be calculated. , which can reflect the characteristics of all measured parameters of the target UHF sensor in the preset frequency band. In addition, since the above verification result is the verification result of the target UHF sensor in the preset frequency band, different sub-frequency bands can be selected to verify the target UHF sensor, and the verification results in different sub-frequency bands can be obtained. In this way, the parameter characteristics of the target UHF sensor in different local frequency ranges can be reflected, thereby comprehensively reflecting the overall and local characteristic information of all the measured parameters of the target UHF sensor, and then comprehensively evaluating the UHF sensor's performance. Its own characteristics such as sensitivity and the installation and construction conditions solve the problem of inaccurate characteristic verification.

In addition, it can effectively carry out the on-site verification of the UHF sensor, and timely find the detection blind area of the partial discharge signal, so as to better exert the practical application effect and function of the UHF detection technology, and improve the operation of the UHF detection equipment. reliability and application level.

Based on the method for verifying the characteristics of a UHF sensor based on the return loss provided by the above embodiments, correspondingly, the present invention also provides a specific implementation of a terminal device applied to the method for verifying the characteristics of a UHF sensor based on the return loss. Way. See the examples below.

As shown in Figure 5, a terminal device is provided, including:

The measurement module 510 is configured to measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points in a preset frequency band, and obtain a target return loss curve of the target UHF sensor; wherein , the measurement interval of the preset number of scan points is the preset interval;

The obtaining module 520 is configured to obtain the correlation coefficient between the target return loss curve and the reference return loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one UHF sensor measured in advance, and at least one special return loss curve is obtained. The high frequency sensor is the same type as the target UHF sensor;

The verification and analysis module 530 is configured to determine the target UHF sensor as a UHF sensor with abnormal characteristics within the preset frequency band when the correlation coefficient is smaller than the preset threshold.

Optionally, the reference return loss curve is an initial return loss curve measured by the target UHF sensor when it leaves the factory.

Optionally, the reference return loss curve is obtained according to the return loss curves of multiple UHF sensors measured on site, and the multiple UHF sensors and the target UHF sensor are installed in the same location. Gas-insulated switchgear.

Optionally, the get module is also used to:

Obtaining the respective return loss curves of the multiple UHF sensors; wherein, the respective return loss curves of the multiple UHF sensors are measured in the same manner, the measurement frequency band in the measurement method includes at least a preset frequency band, and the scan in the measurement method Points include at least a preset number of scan points;

Taking the average value of the parameter measurement values corresponding to the same scanning point in the respective return loss curves of the multiple UHF sensors to obtain the parameter measurement average value of each scanning point;

The reference return loss curve is obtained by measuring the average value of the parameters at each scanning point.

Optionally, the get module is also used to:

Calculate the first integral value, the second integral value and the third integral value; wherein, the first integral value is the integral value of the product of the product of the measurement parameter values corresponding to each scanning point in the target return loss curve and the reference return loss curve respectively , the second integral value is the integral value of the product of the measurement parameter value corresponding to each scanning point in the target return loss curve and itself, and the third integral value is the measurement parameter value corresponding to each scanning point in the reference return loss curve and its the integral value of the product of itself;

Obtain the square root value of the product of the second integral value and the third integral value;

The ratio of the first integral value to the square root value is determined as the correlation coefficient.

Optionally, the preset frequency band is a subset of [300MHz, 3GHz].

Optionally, the subset includes at least a high frequency subset, an intermediate frequency subset and a low frequency subset.

Optionally, the preset frequency band is [300MHz, 1.5GHz], the preset interval is 1MHz, and the preset threshold value is 0.8.

In the embodiment of the present invention, the target return loss curve of the target UHF sensor is obtained by measuring the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points in a preset frequency band , and then when the correlation coefficient between the target return loss curve and the reference return loss curve is less than the preset threshold, determine the target UHF sensor as a UHF sensor with abnormal characteristics in the preset frequency band. Since the reference return loss curve can be regarded as a standard curve, the correlation coefficient between the target return loss curve and the reference return loss curve can be used to reflect the similarity between the two, and then the similarity between the curves can be calculated. , which can reflect the characteristics of all measured parameters of the target UHF sensor in the preset frequency band. In addition, since the above verification result is the verification result of the target UHF sensor in the preset frequency band, different sub-frequency bands can be selected to verify the target UHF sensor, and the verification results in different sub-frequency bands can be obtained. In this way, the parameter characteristics of the target UHF sensor in different local frequency ranges can be reflected, thereby comprehensively reflecting the overall and local characteristic information of all the measured parameters of the target UHF sensor, and then comprehensively evaluating the UHF sensor's performance. Its own characteristics such as sensitivity and the installation and construction conditions solve the problem of inaccurate characteristic verification.

FIG. 6 is a schematic diagram of a terminal device provided by an embodiment of the present invention. As shown in FIG. 6 , the terminal device 6 in this embodiment includes: a processor 60 , a memory 61 , and a computer program 62 stored in the memory 61 and running on the processor 60 . When the processor 60 executes the computer program 62, the steps in each of the above-mentioned embodiments of the method for verifying characteristics of a UHF sensor based on return loss are implemented. Alternatively, when the processor 60 executes the computer program 62, the functions of the modules/units in the foregoing apparatus/terminal device embodiments are implemented.

Exemplarily, the computer program 62 may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 61 and executed by the processor 60 to complete the this invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 62 in the terminal device 6 . For example, the computer program 62 can be divided into a measurement module, an acquisition module and a calibration analysis module, and the specific functions of each module are as follows:

The measurement module is used to measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points within a preset frequency band, and obtain the target return loss curve of the target UHF sensor; wherein, The measurement interval of the preset number of scan points is the preset interval;

The obtaining module is used to obtain the correlation coefficient between the target return loss curve and the reference return loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one ultra-high frequency sensor measured in advance, and at least one ultra-high The frequency sensor is the same type as the target UHF sensor;

The verification and analysis module is configured to determine the target UHF sensor as a UHF sensor with abnormal characteristics in the preset frequency band when the correlation coefficient is smaller than the preset threshold.

The terminal device 6 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The terminal device may include, but is not limited to, the processor 60 and the memory 61 . Those skilled in the art can understand that FIG. 6 is only an example of the terminal device 6, and does not constitute a limitation on the terminal device 6, and may include more or less components than the one shown, or combine some components, or different components For example, the terminal device may further include an input and output device, a network access device, a bus, and the like.

The so-called processor 60 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 61 may be an internal storage unit of the terminal device 6 , such as a hard disk or a memory of the terminal device 6 . The memory 61 may also be an external storage device of the terminal device 6, such as a plug-in hard disk equipped on the terminal device 6, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash card (Flash Card) and so on. Further, the memory 61 may also include both an internal storage unit of the terminal device 6 and an external storage device. The memory 61 is used to store the computer program and other programs and data required by the terminal device. The memory 61 can also be used to temporarily store data that has been output or will be output.

Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. Module completion, that is, dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in one processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit, and the above-mentioned integrated units may adopt hardware. It can also be realized in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present application. For the specific working processes of the units and modules in the above-mentioned system, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the foregoing embodiments, the description of each embodiment has its own emphasis. For parts that are not described or described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of the present invention.

In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units. Or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated modules/units, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, the steps of the foregoing method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable media Electric carrier signals and telecommunication signals are not included.

The above-mentioned embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it is still possible to implement the foregoing implementations. The technical solutions described in the examples are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the within the protection scope of the present invention.

Claims (10)

1. a UHF sensor characteristic verification method based on return loss, is characterized in that, comprises: Measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points within a preset frequency band, and obtain the target return loss curve of the target UHF sensor; Set the measurement interval of the number of scan points as the preset interval; Obtain the correlation coefficient between the target return loss curve and the reference return loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one UHF sensor measured in advance, and the at least one special return loss curve is obtained The high frequency sensor is of the same type as the target UHF sensor; In the case that the correlation coefficient is smaller than a preset threshold, the target UHF sensor is determined as a UHF sensor with abnormal characteristics within the preset frequency band. 2 . The method for verifying characteristics of a UHF sensor based on return loss according to claim 1 , wherein the reference return loss curve is the initial return loss obtained by the target UHF sensor when it leaves the factory. 3 . Wave Loss Curve. 3. The method for verifying characteristics of a UHF sensor based on return loss according to claim 1, wherein the reference return loss curve is based on the return loss of a plurality of UHF sensors measured on site According to the curve, the multiple UHF sensors and the target UHF sensor are installed in the same gas-insulated switchgear. 4 . The method for verifying the characteristics of a UHF sensor based on return loss according to claim 3 , wherein, before the acquisition of the correlation coefficient between the target return loss curve and the reference return loss curve, the The method also includes: Obtain the respective return loss curves of the plurality of UHF sensors; wherein, the measurement methods of the respective return loss curves of the multiple UHF sensors are the same, and the measurement frequency band in the measurement method at least includes the preset frequency. Setting a frequency band, the scanning points in the measurement mode include at least the preset number of scanning points; averaging the parameter measurement values corresponding to the same scanning point in the respective return loss curves of the plurality of UHF sensors to obtain the parameter measurement average value of each scanning point; The reference return loss curve is obtained according to the parameter measurement average value of each scanning point. 5. The method for verifying characteristics of a UHF sensor based on return loss according to any one of claims 1 to 4, wherein the acquisition of the correlation between the target return loss curve and the reference return loss curve coefficients, including: Calculate a first integral value, a second integral value and a third integral value; wherein, the first integral value is a measurement parameter corresponding to each scanning point in the target return loss curve and the reference return loss curve respectively The integral value of the product of the values, the second integral value is the integral value of the product of the measurement parameter value corresponding to each scan point in the target return loss curve and itself, and the third integral value is the reference return loss. The integral value of the product of the measured parameter value corresponding to each sweep point in the wave loss curve and itself; obtaining the square root value of the product of the second integral value and the third integral value; A ratio of the first integral value to the square root value is determined as the correlation coefficient. 6 . The method for verifying characteristics of a UHF sensor based on return loss according to claim 1 , wherein the preset frequency band is a subset of [300MHz, 3GHz]. 7 . 7 . The method for verifying characteristics of a UHF sensor based on return loss according to claim 6 , wherein the subsets at least include a high frequency subset, an intermediate frequency subset and a low frequency subset. 8 . 8 . The method for verifying characteristics of a UHF sensor based on return loss according to claim 6 , wherein the preset frequency band is [300MHz, 1.5GHz], the preset interval is 1MHz, and the The preset threshold is 0.8. 9. A terminal device, comprising: a measurement module, configured to measure the S11 or S22 parameters of the target UHF sensor of the gas-insulated switchgear according to a preset number of scanning points within a preset frequency band, and obtain a target return loss curve of the target UHF sensor; Wherein, the measurement interval of the preset number of scanning points is a preset interval; an obtaining module, configured to obtain the correlation coefficient between the target return loss curve and the reference return loss curve; wherein, the reference return loss curve is obtained according to the return loss curve of at least one UHF sensor measured in advance, the at least one UHF sensor is of the same type as the target UHF sensor; A verification and analysis module, configured to determine the target UHF sensor as a UHF sensor with abnormal characteristics within the preset frequency band when the correlation coefficient is smaller than a preset threshold. 10. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, when the processor executes the computer program, the computer program as claimed in the claims is implemented The steps of any one of 1 to 8.

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