Circuit breaker monitoring method and device, computer equipment and storage medium

文档序号：1935870 发布日期：2021-12-07 浏览：2次中文

阅读说明：本技术 断路器监测方法、装置、计算机设备和存储介质 (Circuit breaker monitoring method and device, computer equipment and storage medium ) 是由廖毅石延辉蒋峰伟廖名洋杨荆林李金安杨洋谭明熊杭洪乐洲张卓杰于 2021-09-03 设计创作，主要内容包括：本申请涉及一种断路器监测方法、装置、计算机设备和存储介质。通过获取断路器的原始工作信号,原始工作信号包括电气量数据和开关量数据,并对原始工作信号进行去噪处理,得到去噪后的原始工作信号,若去噪后的原始工作信号存在突变点,则根据突变点的时间信息,确定断路器发生重燃/重击穿的时间信息。该方法实现了无需布置传感器或相关设备投入就能对断路器进行在线监测,提高了断路器在线监测的经济性和可靠性。(The application relates to a circuit breaker monitoring method, a circuit breaker monitoring device, computer equipment and a storage medium. The method comprises the steps of obtaining an original working signal of the circuit breaker, wherein the original working signal comprises electric quantity data and switching value data, carrying out denoising processing on the original working signal to obtain a denoised original working signal, and determining time information of reignition/re-breakdown of the circuit breaker according to time information of a mutation point if the denoised original working signal has the mutation point. The method realizes the online monitoring of the circuit breaker without arranging sensors or related equipment investment, and improves the economy and reliability of the online monitoring of the circuit breaker.)

1. A circuit breaker monitoring method, the method comprising:

acquiring an original working signal of the circuit breaker, wherein the original working signal comprises electric quantity data and switching value data;

denoising the original working signal to obtain a denoised original working signal;

and if the denoised original working signal has a catastrophe point, determining time information of the restriking/restriking of the circuit breaker according to the time information of the catastrophe point.

2. The method of claim 1, wherein the denoising the raw working signal to obtain a denoised raw working signal comprises:

performing multi-layer resolution decomposition on the original working signal to obtain a scale coefficient and a wavelet coefficient of each layer of resolution;

performing threshold processing on the wavelet coefficients of the resolution of each layer based on a preset denoising threshold;

and reconstructing a signal according to the wavelet coefficient of each layer of resolution ratio after threshold processing and the scale coefficient of each layer of resolution ratio to obtain the denoised original working signal.

3. The method of claim 2, wherein prior to thresholding the wavelet coefficients for each layer of resolution, the method comprises:

acquiring a noise standard deviation and the signal length of the original working signal, wherein the noise standard deviation is determined according to a wavelet coefficient of a first layer;

and determining the denoising threshold according to the noise standard deviation and the signal length.

4. The method according to any one of claims 1-3, further comprising:

performing multi-scale decomposition on the denoised original working signal to obtain a wavelet detail coefficient of the denoised original working signal at each scale;

and if the wavelet detail coefficient of the denoised original working signal under each scale has a modulus maximum, determining that the denoised original working signal has a mutation point.

5. The method of claim 4, wherein the determining the time information of the restrike/restrike of the breaker according to the time information of the sudden change point comprises:

determining the time information of the mutation point according to the time information corresponding to the modulus maximum of the wavelet detail coefficient under each scale of the denoised original working signal; the time information comprises the occurrence time and the duration;

and determining the time information of the catastrophe point as the time information of the restriking/restriking of the breaker.

6. The method according to any one of claims 1-3, further comprising:

and if the denoised original working signal has no catastrophe point, determining that the restrike/restrike breakdown of the circuit breaker does not occur.

7. The method of any of claims 1-3, wherein the obtaining the raw operating signal of the circuit breaker comprises:

acquiring a data recording file in a fault recorder, wherein the data recording file comprises a file of working data of the circuit breaker;

and analyzing the data recording file, and reading the electrical quantity data and the switching value data according to the working data of the circuit breaker to obtain the original working signal.

8. A circuit breaker monitoring device, the device comprising:

the circuit breaker comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring an original working signal of the circuit breaker, and the original working signal comprises electric quantity data and switching value data;

the denoising module is used for denoising the original working signal to obtain a denoised original working signal;

and the determining module is used for determining the time information of the restriking/restriking of the circuit breaker according to the time information of the catastrophe point if the denoised original working signal has the catastrophe point.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.

Technical Field

The present disclosure relates to the field of electrical engineering, and in particular, to a method and an apparatus for monitoring a circuit breaker, a computer device, and a storage medium.

Background

Statistics of the last decade show that when the average loss current of each breaker accident reaches millions of kilowatts, the loss caused by the breaker accident is thousands of times or even tens of thousands of times of the price of the equipment, so that huge loss caused by sudden accidents is avoided, the breaker accident is developed to be regular test and maintenance, but excessive maintenance, large cost and new hidden danger are easily caused, and in order to timely and comprehensively know the state of the breaker, premature or unnecessary power failure tests and maintenance are required to be reduced.

In the related art, some important parameters of the circuit breaker are continuously monitored on line for a long time, for example, the reignition/rethreading of the circuit breaker is monitored, and the change trend of the important parameters is compared and analyzed, so that the operation state, the existence of faults and the like of the circuit breaker can be known. The existing on-line monitoring method for the circuit breaker comprises the steps of measuring the stroke and the speed of a switching-on and switching-off contact by using mechanical performance and a sensor or estimating the burning loss, spout corrosion, insulation degradation degree and the like of the circuit breaker contact through a weighted accumulation value difference of switching-on and switching-off current.

However, the existing method for monitoring the state of the circuit breaker on line basically needs to arrange corresponding sensors and related equipment, and the like, so that the reliability and the economy of the online monitoring of the state of the circuit breaker are low.

Disclosure of Invention

Therefore, in order to solve the above technical problems, it is necessary to provide a method, an apparatus, a computer device and a storage medium for monitoring a circuit breaker, which can implement online monitoring of the circuit breaker without arranging sensors or inputting related devices, and improve the economy and reliability of online monitoring of the state of the circuit breaker.

In a first aspect, an embodiment of the present application provides a method for monitoring a circuit breaker, where the method includes:

acquiring an original working signal of the circuit breaker, wherein the original working signal comprises electric quantity data and switching value data;

denoising the original working signal to obtain a denoised original working signal;

and if the denoised original working signal has a catastrophe point, determining the time information of the restriking/restriking of the circuit breaker according to the time information of the catastrophe point.

In one embodiment, denoising the original working signal to obtain a denoised original working signal includes:

performing multi-layer resolution decomposition on the original working signal to obtain a scale coefficient and a wavelet coefficient of each layer of resolution;

performing threshold processing on the wavelet coefficients of each layer of resolution ratio based on a preset denoising threshold;

In one embodiment, before thresholding the wavelet coefficients for each layer resolution, the method includes:

acquiring a noise standard deviation and a signal length of an original working signal; the noise standard deviation is determined according to the wavelet coefficient of the first layer;

and determining a denoising threshold according to the noise standard deviation and the signal length.

In one embodiment, the method further comprises:

carrying out multi-scale decomposition on the denoised original working signal to obtain a wavelet detail coefficient of the denoised original working signal at each scale;

and if the wavelet detail coefficient of the denoised original working signal under each scale has a modulus maximum value, determining that the denoised original working signal has a mutation point.

In one embodiment, the determining the time information of the restrike/restrike of the circuit breaker according to the time information of the catastrophe point comprises the following steps:

determining time information of a mutation point according to time information corresponding to a modulus maximum of a wavelet detail coefficient under each scale of the denoised original working signal; the time information comprises the occurrence time and the duration;

and determining the time information of the catastrophe point as the time information of the restrike/restriking of the breaker.

In one embodiment, the method further comprises:

and if the denoised original working signal has no catastrophe point, determining that the restrike/restrike breakdown of the circuit breaker does not occur.

In one embodiment, obtaining a raw operating signal for a circuit breaker comprises:

acquiring a data recording file in a fault recorder; the data recording file comprises a file of working data of the circuit breaker;

and analyzing the data recording file, and reading the electric quantity data and the switching value data according to the working data of the circuit breaker to obtain an original working signal.

In a second aspect, an embodiment of the present application provides a circuit breaker monitoring device, which includes:

the de-noising module is used for de-noising the original working signal to obtain a de-noised original working signal;

In a third aspect, an embodiment of the present application provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and is characterized in that the processor implements the steps of the method provided in any of the embodiments of the first aspect when executing the computer program.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method provided in any one of the embodiments in the first aspect.

The embodiment of the application provides a method, a device, a computer device and a storage medium for monitoring a circuit breaker, which comprises the steps of firstly obtaining an original working signal of the circuit breaker comprising electric quantity data and switching value data, then carrying out de-noising processing on the original working signal of the circuit breaker, then judging whether a mutation point exists in the de-noised original working signal, monitoring the mutation point if the mutation point exists, obtaining time information of the mutation point, namely time information of the reignition/re-breakdown of the circuit breaker, wherein the original working signal of the circuit breaker is the working data of the circuit breaker, and the data acquisition is realized without arranging corresponding sensors, related devices and the like, so that the time information of the reignition/re-breakdown can be determined only after the analysis is carried out according to the original working signal of the circuit breaker without additional sensors and related devices, the economical efficiency of the on-line monitoring of the circuit breaker is improved. In addition, the original working signal of the circuit breaker comprises the electrical quantity data and the switching value data, the electrical quantity data and the switching value data can comprehensively reflect the performance of the circuit breaker, and the denoising processing is carried out on the electrical quantity data and the switching value data, so that the electrical quantity data and the switching value data can reflect the performance of the circuit breaker more accurately, and the reliability of the on-line monitoring of the circuit breaker is improved on the basis of improving the economy of the on-line monitoring of the circuit breaker.

Drawings

FIG. 1 is a diagram of an exemplary circuit breaker monitoring application;

fig. 2 is a schematic flow diagram of a circuit breaker monitoring method in one embodiment;

fig. 3 is a schematic flow diagram of a circuit breaker monitoring method in another embodiment;

FIG. 4 is a block diagram of signal decomposition in one embodiment;

FIG. 5 is a block diagram of signal reconstruction in one embodiment;

fig. 6 is a schematic flow diagram of a circuit breaker monitoring method in another embodiment;

fig. 7 is a schematic flow diagram of a circuit breaker monitoring method in another embodiment;

FIG. 8 is a block diagram of signal decomposition in another embodiment;

FIG. 9 is a block diagram of signal decomposition in another embodiment;

FIG. 10 is a block diagram of signal decomposition in another embodiment;

fig. 11 is a schematic flow diagram of a circuit breaker monitoring method in another embodiment;

fig. 12 is a schematic flow diagram of a circuit breaker monitoring method in another embodiment;

fig. 13 is a schematic flow diagram of a circuit breaker monitoring method in another embodiment;

fig. 14 is a block diagram of a circuit breaker monitoring device in one embodiment;

FIG. 15 is a diagram showing an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The circuit breaker monitoring method provided by the application can be applied to computer equipment, the computer equipment can be equipment in any field, for example, electric power equipment, or various personal computers, notebook computers, tablet computers, wearable equipment and the like, and the type of the computer equipment is not limited in the embodiment of the application. As shown in FIG. 1, a schematic diagram of an internal structure of a computer device is provided, and the processor of FIG. 1 is used for providing computing and control capabilities. The memory includes a nonvolatile storage medium, an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database is used for storing relevant data of the table unit group interchange process. The network interface is used for communicating with other external devices through network connection. The computer program is executed by a processor to implement a circuit breaker monitoring method.

In the related art, in one mode, a series of shock vibration response signal waveforms generated on a shell of the circuit breaker due to the movement and impact of an operating mechanism, a linkage mechanism, a movable contact and the like during the closing (opening) process of the circuit breaker reflect the movement process of an internal mechanism of the circuit breaker during the closing (opening) process of the circuit breaker, and a signal processing technology is used for detecting mechanical performance parameters such as the movement state of the circuit breaker mechanism and related time parameters from the vibration signal waveforms so as to monitor the circuit breaker according to the mechanical performance of the circuit breaker. However, in this method, due to poor repeatability of the vibration signal, it is difficult to determine the mechanical performance of the circuit breaker from the isolated vibration signal, so that it is not reliable enough to monitor the circuit breaker by using the mechanical performance of the circuit breaker.

In another mode, a linear photoelectric encoder is mounted on a connecting rod of a linear motion of an operating mechanism or an incremental rotary photoelectric encoder is mounted on a rotating shaft of a circuit breaker operating mechanism to measure a motion signal for operating a moving contact, and the motion time of the contact, the stroke of the moving contact, the average speed of the moving contact and the maximum speed and speed curve are calculated through the obtained stroke waveform of the moving contact, so that the electrical life of the circuit breaker contact is monitored.

In another method, the monitoring of the electrical life of the contacts of the circuit breaker is based on, and since the conclusion of all the performance parameters of the circuit breaker is also to ensure reliable opening and closing of the circuit breaker, the state monitoring of the circuit breaker must be centered on the opening and closing performance, and the monitored state quantity can directly or indirectly reflect the life of the circuit breaker. Based on the method, the burning loss of the contact of the breaker, the corrosion of the nozzle and the insulation degradation degree can be estimated through the weighted accumulated value of the opening current, but the difference of each phase and the actual arcing time are not considered, so that a large error exists.

Therefore, in the monitoring mode of the state of the circuit breaker in the related art, corresponding sensors, related equipment and the like are basically required to be arranged, so that the reliability and the economy cannot be well guaranteed. Based on this, the embodiment of the application provides a circuit breaker monitoring method, a circuit breaker monitoring device, computer equipment and a storage medium, which can achieve the purpose of on-line monitoring of a circuit breaker without arranging corresponding sensors and related equipment, and improve the reliability and economy of the on-line monitoring of the circuit breaker.

The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that, according to the circuit breaker monitoring method provided by the present application, the execution main body of each embodiment may be a computer device, where the execution main body may also be a circuit breaker monitoring apparatus, and the apparatus may be implemented as part or all of a processor by software, hardware, or a combination of software and hardware.

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.

In an embodiment, as shown in fig. 2, a method for monitoring a circuit breaker is provided, where the embodiment relates to a specific process of performing denoising processing on an original working signal of the circuit breaker to obtain a denoised original working signal, and determining time information of reignition/re-breakdown of the circuit breaker according to time information of a mutation point if the denoised original working signal has the mutation point. This embodiment comprises the steps of:

s201, acquiring an original working signal of the circuit breaker, wherein the original working signal comprises electric quantity data and switching value data.

The breaker is a switch device which can close, bear and break the current under the condition of normal loop and close, bear and break the current under the condition of abnormal loop in a specified time, and has the functions of cutting off and connecting a load circuit, cutting off a fault circuit, preventing the expansion of accidents and ensuring the safe operation of the circuit. When the circuit breaker is in a serious overload state or breaks down or is under-voltage, the circuit can be automatically cut off, and when the circuit breaker is in a circuit breaking state, if breakdown occurs within a certain time, the circuit breaker is called to reignite or re-strike through. When the circuit breaker is reignited, severe current fluctuation is generated, so that reignition/re-breakdown of the circuit breaker is an important basis for reflecting the state of the circuit breaker.

The electric quantity refers to various parameters of the power system, including data such as current, voltage value, frequency and impedance, and whether the circuit breaker will be re-ignited or re-broken down can be monitored more accurately through analysis of the electric quantity. The switching value data includes the state of recording whether the circuit breaker is opened or not, and the opening information of the circuit breaker can be accurately known through the switching value data. The circuit breaker is monitored on line in real time by acquiring the electric quantity data and the switching value data of the circuit breaker, so that the reliability of a circuit is ensured.

In the present embodiment, the electrical quantity data and the number of switching elements are referred to as original operating signals. It should be noted that, in practical applications, the original operating signal may not only include the electrical quantity data and the switching quantity data, and the data included in the original operating signal is not limited in the embodiment of the present application.

For example, the original operating signal of the circuit breaker may be obtained by directly calling from a database of pre-stored data such as electrical quantity data and switching quantity data of the circuit breaker. Or, the original working signal of the circuit breaker may be obtained from a fault recorder, where the fault recorder is a device for monitoring the electrical quantity data and the switching value data of the circuit breaker device in real time. Or, the manner of obtaining the original operating signal of the circuit breaker may also be downloading from the network platform, receiving the signal sent by other devices, and the like, which is not limited in this embodiment of the application.

S202, denoising the original working signal to obtain a denoised original working signal.

Wherein, the signal is at the in-process of gathering or transmission, because the influence of external environment interference or instrument, more or less can introduce the noise, noise interference is signal transmission's main obstacle, consequently, at signal analysis's in-process, at first just to signal processing of denoising, actual problem that meets in fields such as radar, sonar, electric power can be solved in signal denoising. The signal denoising process mainly extracts useful signals from signals containing noise and removes interference.

The denoised original working signal is represented as an original working signal containing noise, and is subjected to denoising treatment, and the noise contained in the original working signal is filtered, so that the original working signal without the noise is obtained.

In an embodiment, the original signal is denoised, and the original working signal may be denoised by a principal component analysis method, for example, the original working signal is subjected to wavelet decomposition and then to principal component analysis to obtain a denoised signal, and then to signal reconstruction to obtain the denoised original signal.

In another embodiment, the original working signal is denoised, or denoised by a wavelet transformed signal, and the wavelet transform is used as an effective time-frequency domain analysis method, which not only overcomes the weakness of short-time fourier transform, but also improves the denoising effect, for example, the original working signal is subjected to wavelet transform and then threshold processing to obtain a denoised signal, and then signal reconstruction is performed to obtain the denoised original signal.

S203, if the denoised original working signal has a catastrophe point, determining time information of the restriking/restriking of the circuit breaker according to the time information of the catastrophe point.

Abrupt changes are those in which the difference in data distribution before and after a point, referred to as an abrupt point, is greater than a threshold, in terms of the distribution based on the overall data. And the original working signal fed back by the circuit breaker is analyzed to search the mutation point, and the monitoring of the mutation point is essentially the monitoring of the fault signal.

In an embodiment, the mutation point may be detected by a clustering method, for example, first clustering the detection signal, then analyzing all objects in all clustering results, and if a certain object does not belong to any class, determining that the certain object is a mutation point.

In another embodiment, the mutation point may be detected by using a data stream mutation point detection method, for example, a data stream mutation point detection technology is used as a branch of data mining, and starting from overall data distribution, most normal data are filtered out, and the mutation point position is quickly located.

By monitoring the information of the abrupt change point, the starting time, the duration and the ending time of the abrupt change point can be obtained, namely the obtained information is the time when the re-ignition/re-breakdown of the circuit breaker occurs.

According to the circuit breaker monitoring method provided by the embodiment, the original working signal of the circuit breaker comprising the electrical quantity data and the switching value data is obtained, denoising processing is carried out on the original working signal, the denoised original working signal is obtained, and if the denoised original working signal has a mutation point, the time information of the restriking/restriking of the circuit breaker is determined according to the time information of the mutation point. According to the method, an original working signal of the circuit breaker is obtained firstly, then denoising processing is carried out on the original working signal of the circuit breaker, then whether a catastrophe point exists in the denoised original working signal or not is judged, if the catastrophe point exists, the catastrophe point is monitored, time information of the catastrophe point, namely time information of restriking/restriking of the circuit breaker can be obtained, the original working signal of the circuit breaker is working data of the circuit breaker, and the data are collected without the input of corresponding sensors, relevant equipment and the like. In addition, the original working signal of the circuit breaker comprises the electrical quantity data and the switching value data, the electrical quantity data and the switching value data can comprehensively reflect the performance of the circuit breaker, and the denoising processing is carried out on the electrical quantity data and the switching value data, so that the electrical quantity data and the switching value data can reflect the performance of the circuit breaker more accurately, and the reliability of the on-line monitoring of the circuit breaker is improved on the basis of improving the economy of the on-line monitoring of the circuit breaker.

Based on any one of the foregoing embodiments, in an embodiment, as shown in fig. 3, the denoising processing is performed on the original working signal in the above S202 to obtain a denoised original working signal, including the following steps:

s301, carrying out multi-layer resolution decomposition on the original working signal to obtain a scale coefficient and a wavelet coefficient of each layer of resolution.

When observing an object, if the object is far away from the object, namely the dimension is large, the visual field is wide, the resolution capability is low, and only the general view of the object can be observed but the local details can not be seen clearly; if the distance between the object and the object is short, namely the dimension is small, the visual field is narrow, the resolution capability is high, and the local details of the object can be observed but the overall view cannot be obtained. Therefore, if both the overall contour and the local details of the object are to be known, the object must be viewed at different distances. The understanding of things, phenomena or processes by people can lead to different conclusions according to different scale choices, some of the conclusions can reflect the essence of things, some of the conclusions can partially reflect, some of the conclusions are even wrong, and the things are difficult to be comprehensively and clearly known. Only by adopting different scales, seeing details on the small scale and seeing the whole on the large scale, the combination of multiple scales can comprehensively and clearly know things.

Multi-resolution analysis is one of the important methods for correctly recognizing things and phenomena. Analyzing things in resolution from coarse to fine or from fine to coarse is called multi-resolution analysis, sometimes also called multi-scale analysis.

Multi-resolution analysis can decompose the original signal at different resolution levels, resulting in two sub-signals: scale signals and detail signals. Wherein, the scale signal is decomposed to a lower level, which reflects the profile and the variation trend of the signal sequence; the detail signal is decomposed to a higher level, which reflects the detail change of the signal sequence. By such a decomposition method, the mixed signal with different frequencies can be decomposed into sub-signals with different frequency bands, so that the problems of analysis and reconstruction of signals, separation of signals and noise, feature extraction and the like can be effectively solved.

Wavelet transform is performed on a given signal by unfolding the signal according to a certain wavelet function cluster, that is, expressing the signal as a linear combination of a series of wavelet functions of different scales and different time shifts, wherein the coefficient of each term is called a wavelet coefficient. The wavelet coefficients include a high frequency part and a low frequency part, and the wavelet coefficients of the low frequency are the scale coefficients.

In the wavelet transformation process, the detail signal increases with the increase of the decomposition layer number, while the scale signal is only one at all times and becomes smoother as the decomposition layer number increases. However, too many or too few layers of decomposition are not reasonable, because too many layers of decomposition reduce the intrinsic variation rules and trends of the signal sequence, and too few layers of decomposition cannot effectively separate the profile sequence and the detail sequence. Generally, the number of wavelet decomposition layers should be determined by comprehensively considering the actual variation trend of the sequence signal and the theoretical variation rule thereof.

In one embodiment, for the multi-resolution analysis process, taking three-layer decomposition as an example, the analysis tree structure is shown in fig. 4. As can be seen from fig. 4, the multi-resolution analysis is only to perform multi-level decomposition on the scale signal, so as to make the frequency resolution higher and higher, where a1, a2, a3 represent scale coefficients, d1, d2, d3 represent detail coefficients, and the decomposition result satisfies the relation S ═ a3+ d3+ d2+ d 1. If the fourth layer decomposition is performed, the scale signal a3 is further decomposed into a scale signal a4 and a detail signal d4, and the above relation is changed to S4 + d4+ d3+ d2+ d1, wherein a3 is 4+ d4, and so on.

In one embodiment, performing multi-resolution decomposition on the original working signal, one can select a wavelet basis sym8 with vanishing moments of order 8 to perform 5-layer wavelet transform, and then obtain wavelet coefficients and scale coefficients for each layer.

In another embodiment, the original working signal is decomposed in multiple resolutions, and a wavelet basis sym5 with 5-order similarity is selected for 6-layer wavelet transform, and then wavelet coefficients and scale coefficients of each layer are obtained.

The selected wavelet basis, order and number of decomposition layers may be configured by a configuration file, which is not limited herein.

S302, based on a preset denoising threshold value, performing threshold processing on the wavelet coefficients of each layer of resolution.

Threshold denoising has two key points: the selection of the threshold value is firstly, and the selection of the threshold value function is secondly. The threshold processing method includes a hard threshold method and a soft threshold method.

The hard threshold method is to compare the absolute value of the signal with a threshold, set the point smaller than the threshold as zero, and keep the others unchanged, and can keep local information such as edges and details, but local image distortion may occur; the soft threshold method is to compare the absolute value of the signal with a threshold, the point less than the threshold is set to be zero, the point greater than or equal to the threshold shrinks to zero and becomes the difference between the point value and the threshold, the soft threshold processing is relatively smooth, but the edge is blurred and the image is distorted. The hard threshold function is superior to the soft threshold method in the mean square error sense, but the signal generates additional oscillation, generates jump points and does not have the smoothness of the original signal. The wavelet coefficient obtained by soft threshold estimation has better overall continuity, so that the estimated signal does not generate additional oscillation, but the estimation method is better than the method for compressing the signal and generates certain deviation, and the approximation degree of the reconstructed signal and the real signal is directly influenced.

In one embodiment, the threshold processing may be performed by denoising the obtained threshold by using a soft threshold method. Firstly, based on the obtained threshold, retaining the scale coefficient under each layer of resolution, and performing soft threshold processing on all wavelet coefficients, wherein the formula is as follows:

wherein the content of the first and second substances,the threshold value processed by the soft threshold value method is represented, omega represents the wavelet coefficient under each resolution, lambda is the denoising threshold value, and I is the current.

In another embodiment, the threshold processing may be performed by denoising the obtained threshold by using a hard threshold method. Firstly, based on the obtained threshold, retaining the scale coefficient under each layer of resolution, and performing hard threshold processing on all wavelet coefficients, wherein the formula is as follows:

wherein the content of the first and second substances,the threshold value processed by the soft threshold value method is shown, omega represents the wavelet coefficient under each resolution, and lambda is the denoising threshold value.

In another embodiment, the threshold processing may be performed by denoising the obtained threshold by using a method combining a hard threshold and a soft threshold.

S303, reconstructing a signal according to the wavelet coefficient of each layer of resolution ratio after threshold processing and the scale coefficient of each layer of resolution ratio to obtain an original working signal after denoising.

The process of reducing the decomposed wavelet coefficients into the original signal is called signal reconstruction. The data containing noise is subjected to multi-resolution decomposition, then denoising processing is carried out, and finally a signal is reconstructed, so that a signal with noise filtered can be obtained, and the reconstructed signal can effectively extract useful information from the data with noise originally.

An embodiment, for the signal reconstruction process, takes three-layer wavelet coefficient reconstruction as an example, and the structure is shown in fig. 5. As can be seen from fig. 5, the signal reconstruction is to reconstruct the coefficients of the multi-decomposition into a signal. The multi-resolution analysis is only to perform multi-level decomposition on the scale signals to enable the frequency resolution to be higher and higher, wherein b1, b2 and b3 represent scale coefficients, c1, c2 and c3 represent detail coefficients, S2 is the reconstructed signals, and the reconstruction results satisfy the relation b3+ c3+ c2+ c 1-S2.

According to the breaker monitoring method provided by the embodiment, the wavelet coefficients of each layer of resolution are subjected to threshold processing through a preset denoising threshold, and signals are reconstructed according to the wavelet coefficients of each layer of resolution subjected to threshold processing and the scale coefficients of each layer of resolution, so that denoised original working signals are obtained. The wavelet coefficient and the scale coefficient of each layer are obtained by carrying out resolution decomposition on the original working signal, the wavelet coefficient is subjected to threshold processing, then the scale coefficient of each layer and the wavelet coefficient subjected to threshold processing are subjected to signal reconstruction, the original signal subjected to noise removal is obtained, and therefore the signal subjected to noise removal is obtained, and the reliability of online monitoring of the circuit breaker is improved.

Based on any of the foregoing embodiments, in an embodiment, as shown in fig. 6, before performing the thresholding on the wavelet coefficients of each layer resolution, the method further includes the following steps:

s601, acquiring a noise standard deviation and the signal length of the original working signal, wherein the noise standard deviation is determined according to the wavelet coefficient of the first layer.

Standard deviation refers to a mathematical formula representing the degree to which a set of data deviates from the mean of the set of data, reflecting the degree of dispersion of a data set. Standard deviation is often used for the measurement and characterization of noise. In a noise reduction algorithm, for example, in a non-local mean filtering noise reduction algorithm, the noise standard deviation is an important parameter for controlling the smoothness of a finally obtained reconstructed image, and it is very important to accurately estimate the noise standard deviation.

In one embodiment, the noise standard deviation σ may be determined from the wavelet coefficients of the first layer. The standard deviation calculation formula is as follows:

σ＝M_x/0.6745

wherein M is_xIs the median of the absolute values of the wavelet coefficients of the first layer.

S602, determining a denoising threshold value according to the noise standard deviation and the signal length.

And determining a denoising threshold value based on the noise standard deviation and the signal length obtained in the embodiment.

In general, the directly extracted signal is usually noisy, and the valid signal needs to be extracted before further analysis of the signal.

In one embodiment, an effective signal is extracted from an original signal containing noise, the signal needs to be subjected to denoising processing, the signal can be subjected to multiresolution decomposition first, then the decomposed signal is subjected to threshold processing, and finally the signal subjected to threshold processing is reconstructed to obtain a new signal with noise filtered.

The denoising threshold may be set according to actual requirements, which is not limited in the embodiments of the present application.

In one embodiment, a fixed threshold may be used to determine the threshold lambda,σ is the noise standard deviation obtained above, and N is the signal length.

According to the circuit breaker monitoring method provided by the embodiment, the noise standard deviation and the signal length of the original working signal are obtained, the noise standard deviation is determined according to the wavelet coefficient of the first layer, and then the denoising threshold value is determined according to the noise standard deviation and the signal length. The denoising threshold value is determined through the noise standard deviation and the signal length, the signal denoising precision is improved, and the reliability of the on-line monitoring of the circuit breaker is ensured.

Based on any of the previous embodiments, as shown in fig. 7, in one embodiment, the method further comprises the steps of:

s701, performing multi-scale decomposition on the denoised original working signal to obtain a wavelet detail coefficient of the denoised original working signal at each scale.

Based on the denoised original working signal obtained in the above embodiment, the original working signal is subjected to multi-scale decomposition to obtain a wavelet detail coefficient at each scale.

Taking 5-layer scale decomposition as an example, as shown in fig. 8, S2 is an original working signal after denoising, d1 and a1 are detail coefficients and scale coefficients of layer 1 decomposition, d2 and a2 are detail coefficients and scale coefficients of layer 2 decomposition, d3 and a3 are detail coefficients and scale coefficients of layer 3 decomposition, d4 and a4 are detail coefficients and scale coefficients of layer 4 decomposition, d5 and a5 are detail coefficients and scale coefficients of layer 5 decomposition, and finally, after 5-layer scale decomposition of S2, the obtained signal coefficient can be expressed as S2 d1+ d2+ d3+ d4+ d5+ a 5. The obtained d1, d2, d3, d4 and d5 are wavelet detail coefficients obtained from the denoised original working signal S2.

According to the embodiment, the denoised original working signal can be subjected to multi-scale decomposition by using non-downsampling stationary wavelet transform, so that wavelet detail coefficients under all scales are obtained.

In one embodiment, as shown in fig. 9 and fig. 10, 5-layer decomposition is performed on an original working signal, fig. 9 shows a second-layer wavelet coefficient of the original working signal, which itself contains much noise, fig. 10 shows the second-layer wavelet coefficient of the de-noised original working signal, and fig. 10 clearly shows that the noise of the de-noised original working signal has been filtered out.

S702, if the wavelet detail coefficient of the denoised original working signal at each scale has a module maximum value, determining that the denoised original working signal has a mutation point.

The irregular abrupt change part and singular point in the signal often contain more important information, which is one of the important characteristics of the signal, and in the fault monitoring, the irregular abrupt change part and the singular point correspond to the abrupt change point of the monitoring signal, so the irregular abrupt change point has important significance in the fault monitoring. After the original working signal is subjected to denoising processing, the information of the mutation point is still kept, and the detail coefficient represents the high-frequency part of the signal obtained after the signal is subjected to multi-scale decomposition, so that the detail coefficient can well monitor the information of the mutation point, and the modulus maximum value has significance for detecting the mutation point of the signal.

In general, mutations in the signal can be divided into two cases: one is that the amplitude of the signal changes abruptly at a certain time, which causes the signal to be discontinuous; another is that the signal is smooth in appearance, with no bumps in amplitude, but abrupt changes in the first order differential of the signal occur, and the first order differential is discontinuous.

In an embodiment, please refer to fig. 10 continuously, fig. 10 after the denoising process clearly shows the current abrupt change condition, and it can clearly confirm that the denoised original working signal has a modulus maximum, i.e. a discontinuity.

The breaker monitoring method provided by this embodiment performs multi-scale decomposition on the denoised original working signal to obtain a wavelet detail coefficient of the denoised original working signal at each scale, and determines that the denoised original working signal has a mutation point if the wavelet detail coefficient of the denoised original working signal at each scale has a modulo maximum. The denoised original working signal is subjected to multi-scale decomposition, the obtained wavelet detail coefficient is subjected to modulus maximum monitoring, so that the fact that the denoised original working signal has a modulus maximum, namely a catastrophe point, is determined, the modulus maximum monitoring is carried out according to the wavelet coefficient, whether the catastrophe point exists can be accurately known, and whether the re-burning/re-breakdown occurs or not can be accurately determined.

Based on the above embodiments, in one embodiment, as shown in fig. 11, the determining the time information of the restrike/restrike of the circuit breaker according to the time information of the catastrophe point includes the following steps:

s1101, determining time information of a mutation point according to time information corresponding to a modulus maximum of a wavelet detail coefficient under each scale of the denoised original working signal; the time information includes the time of occurrence and duration.

And determining the time information of the mutation point according to the time information corresponding to the modulus maximum of the wavelet detail coefficient under each scale of the denoised original working signal.

In one embodiment, referring to fig. 10, fig. 10 after the denoising process clearly shows that the time points of the current surges are near three points 698, 1189 and 1744, and the information of the abrupt points of the denoised original working signal, including the occurrence time and duration, can be clearly confirmed.

And S1102, determining the time information of the catastrophe point as the time information of the restriking/restriking of the breaker.

The time information of the discontinuity obtained according to the above embodiment is determined as the time information of the re-ignition/re-breakdown.

In an embodiment, please continue to refer to fig. 10, in fig. 10, the time information of the denoised original working signal can be clearly seen, the abrupt change point generates an abrupt change at three points of time 698, 1189 and 1744, which are respectively 6, 10 and 4 in duration, the time information of the restriking/restriking of the circuit breaker is determined according to the time information, the restriking/restriking of the circuit breaker occurs at time 698, the duration is 6, the restriking/restriking of the circuit breaker occurs at time 1189, the duration is 10, the restriking/restriking occurs at time 1744, and the duration is 4.

According to the circuit breaker monitoring method provided by the embodiment, the time information of the mutation point is determined according to the time information corresponding to the modulus maximum of the wavelet detail coefficient under each scale of the denoised original working signal; the time information comprises the occurrence time and the duration, and the time information of the catastrophe point is determined as the time information of the restriking/restriking of the circuit breaker. The time information of the restriking/restriking of the circuit breaker is determined according to the catastrophe point information, so that the state of the circuit breaker can be monitored on line without arranging corresponding sensors or equipment, and the economy and reliability of the online monitoring of the state of the circuit breaker are improved.

In one embodiment, based on the obtained time information of the occurrence of the reignition/re-strike, a detection report may be generated, and the time information may be recorded in a circuit breaker analysis database.

An embodiment may generate a detection report according to the obtained time information of the occurrence of the restriking/the restriking, create a breaker analysis database, and store the generated detection report in the breaker analysis database, where the data in the breaker analysis database may not show a rule in a mess when being obtained, but some rules hidden in the data are obtained by drawing, making a table, or fitting in various forms, for example, it is found that the restriking/the restriking occurs in a substantially fixed time period.

In one embodiment, the obtained time information of the occurrence of the reignition/re-breakdown may be directly imported into the breaker analysis database by first storing the time information of the occurrence of the reignition/re-breakdown into the EXCEL table, and then importing the data in the EXCEL table into the breaker analysis database.

In another embodiment, the obtained information on the time for the occurrence of the restrike/restrike can be inserted into the breaker analysis database by using an INSERT statement.

The manner in which the restrike/restrike time information is recorded in the circuit breaker analysis database is not limited in this application.

The foregoing has been described with respect to the case where the denoised original operating signal has a discontinuity, and in practical applications, there is also a case where the denoised original operating signal has no discontinuity, that is, the circuit breaker has no reignition/re-breakdown, and for this case, the following is described with reference to an embodiment, where the embodiment includes: and if the denoised original working signal has no catastrophe point, determining that the restrike/restrike breakdown of the circuit breaker does not occur.

The existence of the catastrophe point of the denoised original working signal indicates that the restrike/restrike breakdown of the circuit breaker occurs, the time information of the restrike/restrike breakdown can be determined according to the time information of the catastrophe point, the time information comprises the starting time and the duration, and the absence of the catastrophe point of the denoised original working signal indicates that the restrike/restrike breakdown of the circuit breaker does not occur. Specifically, if the denoised original working signal is subjected to multi-scale decomposition, the obtained wavelet detail coefficient has no mutation point of a modulus maximum value, that is, the condition that the breaker is not reignited or re-breakdown occurs and the state of the breaker is normal is shown.

According to the circuit breaker monitoring method provided by the embodiment, if the denoised original working signal has no mutation point, the fact that the circuit breaker is not reignited or re-punctured is determined. If the denoised original working signal is subjected to multi-scale decomposition, the obtained wavelet detail coefficient has no mutation point of a modulus maximum value, namely that the breaker is not reignited or re-breakdown and the state of the breaker is normal, so that the state of the breaker is monitored in real time.

In one embodiment, as shown in fig. 12, acquiring the original operating signal of the circuit breaker includes the following steps:

s1201, acquiring a data recording file in the fault recorder; the data recording file includes a file of operating data of the circuit breaker.

The fault recorder is used for a power system, when the system has a fault, the change conditions of various electrical quantities in the processes before and after the fault are automatically and accurately recorded, and the analysis and the comparison of the electrical quantities have important effects on analyzing and processing the fault, judging whether the protection acts correctly or not and improving the safe operation water level of the power system. The fault recorder is an important automatic device for improving the safe operation of the power system, and when the power system has a fault or is oscillated, the fault recorder can automatically record the change of various electrical quantities in the whole fault process. The fault recorder can analyze the action condition of the breaker, timely find the defects of equipment and reveal the problems in the power system.

Optionally, the recording data of the fault recorder is stored in a COMTRADE format, each COMTRADE records a set of four following files related thereto, each of the four files carrying different data information, and the four files include: title file (. HDR), configuration file (. CFG), data file (. DAT) and information file (. INF). The title file is an optional ASCII text file that can be created in any desired order and is formatted as ASCII. A profile is an ASCII text file that correctly specifies the format of the data (. DAT) file and therefore must be saved in a specific format that interprets the information contained in the data (. DAT) file including such items as voltage, current, sampling rate, number of channels, frequency, channel information, etc., a field in the first row of the profile identifies the year of the COMTRADE standard version in which the file is in accordance (e.g. 1991, 1999, etc.), if this field is not present or is empty, it is assumed that the file conforms to the original release date of the standard (1991), and the profile also contains a field identifying whether the accompanying data file is stored in ASCII format or binary format. The data file contains the values of all input channels per sample in the record. The data file contains a sequence number and a time stamp for each sample. These sampling values record, in addition to the data of the analog input, the state, i.e. the input representing the on/off signal. The information file is a special information in addition to the information useful to the user, the information file is an optional file, all files defined by COMTRADE, which are interpreted in the IEEE standard power system transient data exchange common format Std C37.111-1991 or IEEE Std C37.111-1999 edition.

For example, when the circuit breaker is disconnected due to a fault, the fault recorder can automatically record various electrical value changes of the circuit breaker, and the mode of acquiring the circuit breaker data record file may be that the fault recorder automatically sends COMTRADE file data to the computer device, or that the computer device sends indication information to the fault recorder, so that the fault recorder feeds back the COMTRADE file data obtained by the fault recorder.

And S1202, analyzing the data recording file, reading the electrical quantity data and the switching value data according to the working data of the circuit breaker, and obtaining an original working signal.

And analyzing the data working file obtained by the embodiment, and reading the electric quantity data and the switching value data of the circuit breaker to obtain an original working signal.

The data recording file may be, for example, electrical quantity data and switching quantity data of the circuit breaker, which may be current, voltage, obtained from a COMTRADE file.

In one embodiment, the data working file obtained in the above embodiment may be parsed by using a third-party library pyComtrade library in python.

In another embodiment, the data working file obtained in the above embodiment may also be parsed by using a third party library in C + +.

According to the circuit breaker monitoring method provided by the embodiment, a data recording file in a fault recorder is obtained, the data recording file comprises a file of working data of the circuit breaker, the data recording file is analyzed, and electric quantity data and switching value data are read according to the working data of the circuit breaker to obtain an original working signal. According to the data recording file obtained from the fault recorder, the data recording file is analyzed to obtain the original working signal, the original working signal is obtained by using the fault recorder, the on-line monitoring of the breaker can be realized without the input of other sensors or equipment, and the economy of the on-line monitoring of the breaker is improved.

As shown in fig. 13, in one embodiment, there is also provided a circuit breaker monitoring method, including:

and S1301, acquiring a COMTRADE file in the fault recorder, wherein the COMTRADE file comprises electric quantity channel data and switching value data of the circuit breaker.

S1302, analyzing CFG files and DAT files in COMTRADE files of the fault recorder by using a third-party pyComtrade library in python, and reading electrical quantity data and switching quantity data according to working data of the circuit breaker to obtain original working signals.

S1303, selecting a wavelet basis sym8 with 8-order vanishing moments to perform 5-layer wavelet transformation, and performing 5-layer resolution decomposition on the original working signal to obtain a scale coefficient and a wavelet coefficient of each layer of resolution.

And S1304, acquiring a noise standard deviation and the signal length of the original working signal, wherein the noise standard deviation is determined according to the wavelet coefficient of the first layer.

And S1305, performing soft threshold processing on the wavelet coefficient of each layer of resolution according to the noise standard deviation and the signal length.

And S1306, reconstructing a signal according to the wavelet coefficient of each layer of resolution ratio after threshold processing and the scale coefficient of each layer of resolution ratio to obtain an original working signal after denoising.

And S1307, performing multi-scale decomposition on the denoised original working signal to obtain a wavelet detail coefficient of the denoised original working signal at each scale.

S1308, determining time information of a mutation point according to time information corresponding to a modulus maximum value of a wavelet detail coefficient under each scale of the denoised original working signal; the time information includes the time of occurrence and duration.

And S1309, if the denoised original working signal has a sudden change point, determining the time information of the sudden change point as the time information of the restriking/restriking of the circuit breaker.

S1310, if the denoised original working signal has no catastrophe point, determining that the circuit breaker has no reignition/re-breakdown.

In the steps of the circuit breaker monitoring method provided by this embodiment, the implementation principle and technical effect are similar to those of the previous circuit breaker monitoring method embodiment, and are not described herein again.

It should be understood that, although the respective steps in the flowcharts in the above-described embodiments are sequentially shown as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps of the flowcharts in the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

In addition, the present application further provides a circuit breaker monitoring device, as shown in fig. 14, in an embodiment, the circuit breaker monitoring device 1400 includes: an obtaining module 1401, a denoising module 1402, and a determining module 1403, wherein:

an obtaining module 1401, configured to obtain an original working signal of the circuit breaker, where the original working signal includes electric quantity data and switching quantity data;

a denoising module 1402, configured to perform denoising processing on the original working signal to obtain a denoised original working signal;

the determining module 1403 is configured to determine, if the denoised original working signal has a discontinuity, time information of a restrike/restrike of the circuit breaker according to the time information of the discontinuity.

In one embodiment, the denoising module 1402 includes:

the decomposition unit is used for carrying out multi-layer resolution decomposition on the original working signal to obtain a scale coefficient and a wavelet coefficient of each layer of resolution;

the processing unit is used for carrying out threshold processing on the wavelet coefficients of each layer of resolution ratio based on a preset denoising threshold;

and the reconstruction unit is used for reconstructing signals according to the wavelet coefficients of each layer of resolution ratio after threshold processing and the scale coefficients of each layer of resolution ratio to obtain the original working signals after denoising.

In one embodiment, the circuit breaker monitoring device 1400 further comprises:

the signal module is used for acquiring a noise standard deviation and the signal length of an original working signal, wherein the noise standard deviation is determined according to the wavelet coefficient of the first layer;

and the threshold module is used for determining a denoising threshold according to the noise standard deviation and the signal length.

In one embodiment, the circuit breaker monitoring device 1400 further comprises:

the decomposition module is used for carrying out multi-scale decomposition on the denoised original working signal to obtain a wavelet detail coefficient under each scale of the denoised original working signal;

and the mutation module is used for determining that the denoised original working signal has a mutation point if the wavelet detail coefficient under each scale of the denoised original working signal has a module maximum value.

In one embodiment, the determining module 1403 further includes:

the information unit is used for determining the time information of the mutation point according to the time information corresponding to the modulus maximum of the wavelet detail coefficient under each scale of the denoised original working signal; the time information comprises the occurrence time and the duration;

and the determining unit is used for determining the time information of the catastrophe point as the time information of the restriking/restriking of the circuit breaker.

In one embodiment, the circuit breaker monitoring apparatus 1400 further comprises determining that the circuit breaker has not reignited/re-breakdown if the denoised raw operating signal does not have a discontinuity.

In one embodiment, the obtaining module 1401 further comprises:

the acquisition unit is used for acquiring a data recording file in the fault recorder, wherein the data recording file comprises a file of working data of the circuit breaker;

and the analysis unit is used for analyzing the data recording file, reading the electric quantity data and the switching value data according to the working data of the circuit breaker and obtaining an original working signal.

For specific limitations of the circuit breaker monitoring device, reference may be made to the above limitations of the circuit breaker monitoring method, which are not described herein again. The modules in the circuit breaker monitoring device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 15. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a circuit breaker monitoring method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 15 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

acquiring an original working signal of the circuit breaker, wherein the original working signal comprises electric quantity data and switching value data;

denoising the original working signal to obtain a denoised original working signal;

In one embodiment, the processor, when executing the computer program, performs the steps of: