CN108717155B - Method and device for configuring noise threshold and bandwidth - Google Patents
Method and device for configuring noise threshold and bandwidth Download PDFInfo
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Abstract
The invention discloses a method and a device for configuring a noise threshold and a bandwidth. Wherein, the method comprises the following steps: the method comprises the steps of obtaining a recording signal by recording noise of a working environment of the monitoring equipment, determining active period intensity and time-frequency characteristic distribution intervals of the noise according to the recording signal, establishing noise threshold intensity change characteristics and time-frequency distribution change characteristics according to the active period intensity and the time-frequency characteristic distribution intervals, determining configuration parameters of the monitoring equipment according to the noise threshold intensity change characteristics and the video distribution change characteristics, and configuring the noise threshold and the bandwidth of the monitoring equipment according to the configuration parameters. The invention solves the technical problem that the requirements on detection effectiveness under different noise environments and different operating conditions are difficult to adapt due to the fact that the noise threshold value and the bandwidth are manually set or detected by adopting a noise filtering means.
Description
Technical Field
The invention relates to the electrical field, in particular to a method and a device for configuring a noise threshold and a bandwidth.
Background
Partial discharge is an expression form of deterioration of insulation performance of electric power equipment, and is a cause of further deterioration of insulation performance. Monitoring the local discharge signal is an important means for timely finding the insulation defect of equipment and preventing the insulation breakdown fault. When the electrical equipment generates partial discharge, electromagnetic waves are often gathered at a grounding metal part adjacent to a grounding point to form ground current to be transmitted on the metal on the surface of the equipment, and a high-frequency signal of the partial discharge is transmitted to an equipment shielding shell through a shielding discontinuous part such as an insulating part, a gasket connection, a cable insulating terminal and the like and is continuously transmitted along the outer surface of an equipment metal box body, and meanwhile, a certain transient voltage pulse signal, namely a ground electric wave signal, is generated.
The switch equipment partial discharge monitoring technology based on the earth electric wave principle has the characteristics of high sensitivity, strong adaptability, flexible field application method and the like, becomes an effective means for live detection and on-line monitoring of switch partial discharge, and is increasingly applied to domestic and foreign electric power operation enterprises and power distribution equipment management departments. With the continuous development and expansion of urban power grids and the continuous improvement of the requirements on power supply reliability, the safe and reliable operation of the switch equipment is more and more emphasized. In recent years, a large number of applications are developed at home and abroad aiming at the detection of local discharge of the ground waves, certain practical experience is also accumulated, a large number of internal local discharge faults of the switch cabinet are found, and fault early warning is timely made.
Currently, earth wave detection devices can be divided into two categories: the handheld partial discharge detection equipment and the local discharge online monitoring system mainly measure the amplitude, the pulse frequency and the variation trend of earth electric wave signals, so as to judge whether the switch cabinet has a partial discharge phenomenon. In practical use, the detection of the local discharge of the earth electric wave is susceptible to the influence of electromagnetic interference on site, so that the detection sensitivity is reduced or the false judgment of the local discharge is generated, and therefore, the setting and the adjustment of the detection threshold and the bandwidth are generally performed by adopting manual setting or adopting a noise filtering means.
In the current application of earth electric wave partial discharge on-line monitoring, a distributed sensor unit is mostly adopted to monitor an individual switch device, the detection threshold value of a sensor is usually set by manual observation or experience or is replaced by signal filtering processing, the threshold value is generally set at one time after the sensor is installed, the working period and the early warning condition of on-line monitoring are relatively solidified, and the reference basis of adaptability and numerical value setting of the on-site environment is lacked. With the application of the earth electric wave partial discharge on-line monitoring technology in a large number, the processing method is difficult to adapt to the requirements on detection effectiveness under different noise environments and different operation conditions, and the dynamic changes of the noise environments caused by communication signals, environmental electromagnetic levels, starting and stopping of high-power equipment, equipment load changes and the like can cause the situations of too low or too high artificial threshold values of the sensors, detection sensitivity reduction, false alarm or failure report of signals and the like, so that the application effect of earth electric wave partial discharge monitoring is influenced, and the labor cost and the dependence on the manual experience are increased.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a method and a device for configuring a noise threshold and a bandwidth, which at least solve the technical problem that the requirements on detection effectiveness under different noise environments and different operating conditions are difficult to adapt due to manual setting or noise filtering means for detecting the noise threshold and the bandwidth.
According to an aspect of an embodiment of the present invention, there is provided a method for configuring a noise threshold and a bandwidth, including: recording the noise of the working environment of the monitoring equipment to obtain a wave recording signal; determining the active period intensity and the time-frequency characteristic distribution interval of the noise according to the wave recording signal; establishing a noise threshold intensity change characteristic and a time frequency distribution change characteristic according to the active period intensity and the time frequency characteristic distribution interval; determining configuration parameters of the monitoring equipment according to the noise threshold intensity change characteristics and the time-frequency distribution change characteristics; and configuring the noise threshold and the bandwidth of the monitoring equipment according to the configuration parameters.
Further, recording the noise of the working environment of the monitoring device to obtain a recording signal, including: unloading a filtering unit of a sensor in the monitoring device; determining the recording time interval of the sensor according to the load change of the monitored equipment and the periodic characteristics of the interference source; and acquiring noise in the analog response bandwidth in the sensor according to a preset period and the recording time interval to obtain the recording signal.
Further, analyzing the recording signal to determine the active period intensity and the time-frequency feature distribution interval of the noise, including: and analyzing the recording signals by adopting a time sequence analysis method and time-frequency combination.
Further, analyzing the recording signal by using a time series analysis method and time-frequency joint analysis comprises: and analyzing the recording signal by adopting a signal time frequency spectrum function and a corresponding window function.
Further, establishing a noise threshold intensity variation characteristic and a time-frequency distribution variation characteristic according to the active period intensity and the time-frequency characteristic distribution interval, including: establishing a noise intensity change curve according to the active period intensity; determining the maximum value of the noise intensity in each preset period in the noise intensity variation curve to obtain a periodic variation envelope of the noise intensity; establishing a time-frequency characteristic change curve according to the time-frequency characteristic distribution interval; performing frequency reconstruction on the recording signals obtained in each preset period according to the time-frequency characteristic change curve to obtain reconstructed signals; and performing time-frequency characteristic analysis on the reconstructed signals in all the preset periods to obtain a periodic variation time-frequency distribution spectrogram.
Further, determining the configuration parameters of the monitoring device according to the noise threshold intensity variation characteristic and the time-frequency distribution variation characteristic, including: and determining the configuration parameters of the monitoring equipment according to the periodic variation envelope and the periodic variation time-frequency distribution spectrogram.
Further, configuring the noise threshold and the bandwidth of the monitoring device according to the configuration parameters includes: determining the noise threshold according to the noise intensity variation curve under the condition that a sensor of the monitoring device does not have a filtering condition and a periodic intensity noise environment exists in the noise full-waveband amplitude of the sensor; under the condition that the sensor does not have a filtering condition and a periodic intensity noise environment does not exist in the noise full-waveband amplitude of the sensor, determining the noise threshold according to the upper limit of the noise intensity probability distribution in the periodic variation envelope; under the condition that the sensor has filtering conditions and a periodic intensity noise environment exists in the noise full-waveband amplitude of the sensor, selecting digital or hardware filtering bandwidth according to the frequency distribution of the noise intensity; and under the condition that the sensor has a filtering condition and a periodic intensity noise environment does not exist in the noise full-waveband amplitude of the sensor, determining the noise threshold according to the upper limit and the lower limit of the noise frequency probability distribution in the periodic change time-frequency distribution spectrogram.
Further, after configuring the noise threshold and the bandwidth of the monitoring device according to the configuration parameters, the method further includes: and under the condition that the working environment of the monitoring equipment is changed or the position of the monitoring equipment is changed, the noise threshold and the bandwidth of the sensor of the monitoring equipment are rechecked.
According to another aspect of the embodiments of the present invention, there is also provided an apparatus for configuring a noise threshold and a bandwidth, which is applied to a ground electric wave partial discharge monitoring device, the apparatus including: the recording unit is used for recording the noise of the working environment of the monitoring equipment to obtain a wave recording signal; the first determining unit is used for determining the active period intensity and the time-frequency characteristic distribution interval of the noise according to the wave recording signal; the processing unit is used for establishing a noise threshold intensity change characteristic and a time frequency distribution change characteristic according to the active period intensity and the time frequency characteristic distribution interval; the second determining unit is used for determining the configuration parameters of the monitoring equipment according to the noise threshold intensity change characteristics and the time-frequency distribution change characteristics; and the configuration unit is used for configuring the noise threshold and the bandwidth of the monitoring equipment according to the configuration parameters.
According to another aspect of the embodiments of the present invention, the apparatus further comprises: and the monitoring unit is used for rechecking the noise threshold and the bandwidth of the sensor of the monitoring equipment under the condition that the working environment of the monitoring equipment is changed or the position of the monitoring equipment is changed.
In the embodiment of the invention, a recording signal is obtained by recording the noise of the working environment of the monitoring equipment, the active period intensity and the time-frequency characteristic distribution interval of the noise are determined according to the recording signal, the noise threshold intensity change characteristic and the time-frequency distribution change characteristic are established according to the active period intensity and the time-frequency characteristic distribution interval, the configuration parameter of the monitoring equipment is determined according to the noise threshold intensity change characteristic and the video distribution change characteristic, and the noise threshold and the bandwidth of the monitoring equipment are configured according to the configuration parameter, so that the technical problem that the requirements on detection effectiveness under different noise environments and different operating conditions are difficult to adapt due to manual setting or noise filtering means for detecting the noise threshold and the bandwidth is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart illustrating an alternative method of configuring noise thresholds and bandwidths in accordance with embodiments of the present invention;
FIG. 2 is a schematic diagram of noise in an alternative operational environment of a recording and monitoring device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an alternative noise periodic intensity variation envelope in accordance with an embodiment of the present invention;
FIG. 4 is a diagram illustrating an alternative filtered noise intensity and video distribution profile according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus for configuring a noise threshold and a bandwidth according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Before the technical solution of the embodiment of the present invention is introduced, an application scenario of the technical solution of the embodiment of the present invention is first described, the embodiment of the present invention provides a method for configuring a noise threshold and a bandwidth, and an earth-electric-wave partial discharge monitoring device is applied to the method.
According to an embodiment of the present invention, there is provided a method of configuring noise threshold and bandwidth, applied with respect to a ground-wave partial discharge monitoring device, as shown in fig. 1, the method including:
s101, recording noise of a working environment of monitoring equipment to obtain a wave recording signal;
s102, determining the active period intensity and the time-frequency characteristic distribution interval of noise according to the wave recording signal;
s103, establishing a noise threshold intensity change characteristic and a time-frequency distribution change characteristic according to the active period intensity and the time-frequency characteristic distribution interval;
s104, determining configuration parameters of the monitoring equipment according to the noise threshold intensity change characteristics and the time-frequency distribution change characteristics;
and S105, configuring the noise threshold and the bandwidth of the monitoring equipment according to the configuration parameters.
In the embodiment of the invention, the recording signal is obtained by recording the noise of the working environment of the monitoring equipment, the active period intensity and the time-frequency characteristic distribution interval of the noise are determined according to the recording signal, the noise threshold intensity change characteristic and the time-frequency distribution change characteristic are established according to the active period intensity and the time-frequency characteristic distribution interval, the configuration parameter of the monitoring equipment is determined according to the noise threshold intensity change characteristic and the time-frequency distribution change characteristic, and the noise threshold and the bandwidth of the monitoring equipment are configured according to the configuration parameter, so that the technical problem that the requirements on detection effectiveness under different noise environments and different operating conditions are difficult to adapt due to manual setting or noise filtering means for detecting the noise threshold and the bandwidth is solved.
As an optional embodiment, recording noise of the working environment of the monitoring device to obtain a recording signal includes but is not limited to: unloading a filtering unit of a sensor in the monitoring device; determining the recording time interval of the sensor according to the load change of the monitored equipment and the periodic characteristics of the interference source; and acquiring the noise in the analog response bandwidth in the sensor according to the recording time interval to obtain the recording signal.
In an actual application scenario, the load of the monitored equipment (i.e., a switch cabinet) changes along with the demand of residential electricity and the demand of other industrial electricity, for example, the load demands of the switch cabinet in three time periods, namely, the morning, the evening and the night are different, and the interference suffered by the periodic switch cabinet based on seasonal years and the like is also different, so that the recording time interval of the acquisition equipment (i.e., the sensor of the monitoring equipment) needs to be determined according to the load change of the switch cabinet and the periodic characteristics of the interference source of the working environment of the switch cabinet. In order to completely record the characteristics of noise, it is therefore necessary to uninstall the filtering unit of each sensor of the monitoring device after the monitoring device is placed at a specified position, collect the background noise signal within the analog response bandwidth according to a preset period and the above-mentioned recording time interval, and then record the background noise signal as a recording signal, where the preset period may be set according to actual use experience, such as day, week, month, year, and the like.
It should be noted that the duration of the continuous recording wave recording signal of the sensor needs to be determined according to the storage depth of the data acquisition unit of the monitoring device, specifically refer to fig. 2 in the specification, where the continuous recording wave in fig. 2 is a continuous recording wave recording signal, and the transmission of the wave recording signal is performed after each time T1 of the continuous recording wave. As another alternative, the recording time interval of the sensor is not only determined according to the load variation of the monitored device and the periodic characteristics of the interference source, but also needs to consider the data transmission speed of the data acquisition unit in the monitoring device, and is determined by the three devices.
As an alternative embodiment, analyzing the recording signal to determine the active period intensity and time-frequency characteristic distribution interval of the noise includes but is not limited to: and analyzing the recording signals by adopting a time sequence analysis method and time-frequency combination.
As an alternative embodiment, the analyzing the recording signal by using the time series analysis method and the time-frequency combination includes but is not limited to: and analyzing the recording signal by adopting a signal time frequency spectrum function and a corresponding window function.
In a specific application scenario, for example, a short-time fourier transform is selected to perform time-domain spectral analysis on a recorded wave signal that is recorded discontinuously:
in the above formula, z (t) is a one-dimensional discrete signal, η (t) is a window function, t is the time for recording a wave recording signal, t' is the time for currently recording a wave recording signal, and f is the frequency;
or, performing time-domain spectrum analysis on the recording signal through an ST distribution function:
wherein, in the above formula, the window function is
z (t) is a one-dimensional discrete signal, t is the time for recording the recording signal, t' is the current time for recording the recording signal, and f is the frequency.
Preferably, in the above formulas (1) to (2), the window size can be changed by adjustment of the time t and the frequency f. For example, in the low frequency part of the signal, the time window is wider, so that the obtained frequency resolution is higher; and in the high frequency part of the signal, the time window is narrower, so that the obtained time resolution is higher.
And performing time-frequency domain spectrum analysis on the time-domain waveform of the recording signal obtained by intermittent recording to obtain the time-frequency distribution change characteristic and the noise threshold intensity change characteristic (namely the noise intensity and the characteristic parameters in different time periods) of the recording signal.
As an optional embodiment, the noise threshold intensity variation characteristic and the time-frequency distribution variation characteristic are established according to the intensity of the active period and the time-frequency characteristic distribution interval, including but not limited to:
(1) establishing a noise intensity change curve according to the intensity of the active period; determining the maximum value of the noise intensity in each preset period in the noise intensity variation curve to obtain the periodic variation envelope of the noise intensity; in a specific application scenario, a curve of the noise intensity changing with time is established according to the noise activity intensity, and the maximum value of the noise intensity in a unit time duration (such as second, minute, hour, and the like) corresponding to a unit observation period (such as day, week, month, and the like) is recorded, referring to formula (3), so as to obtain a periodic variation envelope shown in fig. 3 of the attached drawings of the specification.
S(t)＝max(Scyc(1),Scyc(2),…,Scyc(n)) (3)
(2) Establishing a time-frequency characteristic change curve according to the time-frequency characteristic distribution interval; carrying out frequency reconstruction on the recording signals obtained in each preset period according to the time-frequency characteristic change curve to obtain reconstructed signals; and performing time-frequency characteristic analysis on the reconstructed signals in all the preset periods to obtain a periodic variation time-frequency distribution spectrogram. In a specific application scene, a time-frequency characteristic change curve of time-frequency characteristic parameters changing along with time is established, frequency reconstruction is carried out on the recording signals obtained at the corresponding moments of a unit observation period (such as day, week, month and the like) to obtain reconstructed signals, and then time-frequency characteristic analysis is carried out on the reconstructed signals in the total duration of the recording signals to obtain a time-frequency distribution map of periodic change of the reconstructed signals. After selecting the upper and lower bandwidths of the filtering center frequency of the filter at the corresponding time in the observation period, the filtered noise intensity can be obtained, and the video distribution spectrogram and the filtered noise intensity shown in the attached figure 4 of the specification can be obtained.
As an optional technical solution, the noise threshold and the bandwidth of the monitoring device are configured according to configuration parameters, which include but are not limited to:
(1) determining a noise threshold according to a noise intensity variation curve under the condition that a sensor of the monitoring equipment does not have a filtering condition and a periodic intensity noise environment exists in the noise full-waveband amplitude of the sensor;
(2) determining a noise threshold according to the upper limit of the noise intensity probability distribution in the periodic variation envelope under the condition that the sensor does not have a filtering condition and the amplitude of the noise full waveband of the sensor does not have a periodic intensity noise environment;
(3) under the condition that the sensor has filtering conditions and a periodic intensity noise environment exists in the noise full-waveband amplitude of the sensor, selecting digital or hardware filtering bandwidth according to the frequency distribution of the noise intensity;
(4) and under the condition that the sensor has filtering conditions and the amplitude of the noise full wave band of the sensor does not have a periodic intensity noise environment, determining a noise threshold according to the upper limit and the lower limit of the noise frequency probability distribution in the periodic change time-frequency distribution spectrogram.
As an optional technical solution, after configuring the noise threshold and the bandwidth of the monitoring device according to the configuration parameter, the method further includes, but is not limited to: and under the condition that the working environment of the monitoring equipment changes or the position of the monitoring equipment changes, rechecking the noise threshold and the bandwidth of the sensor of the monitoring equipment, and configuring according to the step 101 and the step 105.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
According to an embodiment of the present invention, there is also provided an apparatus for configuring a noise threshold and a bandwidth, which is used for implementing the method for configuring a noise threshold and a bandwidth, as shown in fig. 5, and includes:
1) the recording unit 501 is configured to record noise of a working environment of the monitoring device to obtain a recording signal;
2) a first determining unit 502, configured to determine, according to the recording signal, an active period intensity of the noise and a time-frequency feature distribution interval;
3) the processing unit 503 is configured to establish a noise threshold intensity variation characteristic and a time-frequency distribution variation characteristic according to the active period intensity and the time-frequency feature distribution interval;
4) a second determining unit 504, configured to determine configuration parameters of the monitoring device according to the noise threshold intensity variation characteristic and the time-frequency distribution variation characteristic;
5) a configuration unit 505, configured to configure the noise threshold and the bandwidth of the monitoring device according to the configuration parameters.
As an optional technical solution, the apparatus further includes: and the monitoring unit is used for rechecking the noise threshold and the bandwidth of the sensor of the monitoring equipment under the condition that the working environment of the monitoring equipment is changed or the position of the monitoring equipment is changed.
By applying the technical scheme of the embodiment of the invention, the recording signal is obtained by recording the noise of the working environment of the monitoring equipment, the active period intensity and the time-frequency characteristic distribution interval of the noise are determined according to the recording signal, the noise threshold intensity change characteristic and the time-frequency distribution change characteristic are established according to the active period intensity and the time-frequency characteristic distribution interval, the configuration parameter of the monitoring equipment is determined according to the noise threshold intensity change characteristic and the video distribution change characteristic, and the noise threshold and the bandwidth of the monitoring equipment are configured according to the configuration parameter, so that the technical problem that the requirements on the detection effectiveness under different noise environments and different operating conditions are difficult to adapt due to manual setting or noise filtering means for detecting the noise threshold and the bandwidth is solved.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A method of configuring noise thresholds and bandwidths for use in a device for monitoring partial discharge of earth electric waves, comprising:
recording the noise of the working environment of the monitoring equipment to obtain a wave recording signal;
determining the active period intensity and the time-frequency characteristic distribution interval of the noise according to the wave recording signal;
establishing a noise threshold intensity change characteristic and a time frequency distribution change characteristic according to the active period intensity and the time frequency characteristic distribution interval;
determining configuration parameters of the monitoring equipment according to the noise threshold intensity change characteristics and the time-frequency distribution change characteristics;
configuring the noise threshold and the bandwidth of the monitoring equipment according to the configuration parameters;
wherein, record monitoring facilities operational environment's noise, obtain the record wave signal, include: unloading a filtering unit of a sensor in the monitoring device; determining the recording time interval of the sensor according to the load change of the monitored equipment and the periodic characteristics of the interference source; acquiring noise in a simulated response bandwidth in the sensor according to a preset period and the recording time interval to obtain the wave recording signal;
establishing a noise threshold intensity change characteristic and a time frequency distribution change characteristic according to the active period intensity and the time frequency characteristic distribution interval, wherein the method comprises the following steps: establishing a noise intensity change curve according to the active period intensity; determining the maximum value of the noise intensity in each preset period in the noise intensity variation curve to obtain a periodic variation envelope of the noise intensity; establishing a time-frequency characteristic change curve according to the time-frequency characteristic distribution interval; performing frequency reconstruction on the recording signals obtained in each preset period according to the time-frequency characteristic change curve to obtain reconstructed signals; and performing time-frequency characteristic analysis on the reconstructed signals in all the preset periods to obtain a periodic variation time-frequency distribution spectrogram.
2. The method of claim 1, wherein analyzing the recording signal to determine the activity cycle intensity and time-frequency feature distribution interval of the noise comprises:
and analyzing the recording signals by adopting a time sequence analysis method and time-frequency combination.
3. The method of claim 2, wherein analyzing the recording signal using a time series analysis method and a time-frequency joint analysis method comprises: and analyzing the recording signal by adopting a signal time frequency spectrum function and a corresponding window function.
4. The method of claim 1, wherein determining the configuration parameters of the monitoring device according to the noise threshold intensity variation characteristic and the time-frequency distribution variation characteristic comprises:
and determining the configuration parameters of the monitoring equipment according to the periodic variation envelope and the periodic variation time-frequency distribution spectrogram.
5. The method of claim 4, wherein configuring the noise threshold and the bandwidth of the monitoring device according to the configuration parameters comprises:
determining the noise threshold according to the noise intensity variation curve under the condition that a sensor of the monitoring device does not have a filtering condition and a periodic intensity noise environment exists in the noise full-waveband amplitude of the sensor;
under the condition that the sensor does not have a filtering condition and a periodic intensity noise environment does not exist in the noise full-waveband amplitude of the sensor, determining the noise threshold according to the upper limit of the noise intensity probability distribution in the periodic variation envelope;
under the condition that the sensor has filtering conditions and a periodic intensity noise environment exists in the noise full-waveband amplitude of the sensor, selecting digital or hardware filtering bandwidth according to the frequency distribution of the noise intensity;
and under the condition that the sensor has a filtering condition and a periodic intensity noise environment does not exist in the noise full-waveband amplitude of the sensor, determining the noise threshold according to the upper limit and the lower limit of the noise frequency probability distribution in the periodic change time-frequency distribution spectrogram.
6. The method of any of claims 1-5, wherein after configuring the noise threshold and bandwidth of the monitoring device according to the configuration parameters, the method further comprises:
and under the condition that the working environment of the monitoring equipment is changed or the position of the monitoring equipment is changed, the noise threshold and the bandwidth of the sensor of the monitoring equipment are rechecked.
7. An apparatus for configuring noise threshold and bandwidth, applied to a ground electric wave partial discharge monitoring device, is characterized in that the apparatus comprises:
the recording unit is used for recording the noise of the working environment of the monitoring equipment to obtain a wave recording signal;
the first determining unit is used for determining the active period intensity and the time-frequency characteristic distribution interval of the noise according to the wave recording signal;
the processing unit is used for establishing a noise threshold intensity change characteristic and a time frequency distribution change characteristic according to the active period intensity and the time frequency characteristic distribution interval;
the second determining unit is used for determining the configuration parameters of the monitoring equipment according to the noise threshold intensity change characteristics and the time-frequency distribution change characteristics;
the configuration unit is used for configuring the noise threshold and the bandwidth of the monitoring equipment according to the configuration parameters;
wherein the means for configuring the noise threshold and the bandwidth is further configured to: unloading a filtering unit of a sensor in the monitoring device; determining the recording time interval of the sensor according to the load change of the monitored equipment and the periodic characteristics of the interference source; acquiring noise in a simulated response bandwidth in the sensor according to a preset period and the recording time interval to obtain the wave recording signal;
wherein the means for configuring the noise threshold and the bandwidth is further configured to: establishing a noise intensity change curve according to the active period intensity; determining the maximum value of the noise intensity in each preset period in the noise intensity variation curve to obtain a periodic variation envelope of the noise intensity; establishing a time-frequency characteristic change curve according to the time-frequency characteristic distribution interval; performing frequency reconstruction on the recording signals obtained in each preset period according to the time-frequency characteristic change curve to obtain reconstructed signals; and performing time-frequency characteristic analysis on the reconstructed signals in all the preset periods to obtain a periodic variation time-frequency distribution spectrogram.
8. The apparatus of claim 7, further comprising:
and the monitoring unit is used for rechecking the noise threshold and the bandwidth of the sensor of the monitoring equipment under the condition that the working environment of the monitoring equipment is changed or the position of the monitoring equipment is changed.
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