CN112162181B

CN112162181B - Monitoring method, device and computer readable storage medium

Info

Publication number: CN112162181B
Application number: CN202011035370.0A
Authority: CN
Inventors: 郭涛; 杜辉; 安阳明; 宜波; 樊晓华
Original assignee: Xi'an Nanyang Siyuan Intelligent Technology Co ltd; Beijing Nanyang Siyuan Intelligent Technology Co ltd
Current assignee: Xi'an Nanyang Siyuan Intelligent Technology Co ltd; Beijing Nanyang Siyuan Intelligent Technology Co ltd
Priority date: 2020-09-27
Filing date: 2020-09-27
Publication date: 2024-06-04
Anticipated expiration: 2040-09-27
Also published as: CN112162181A

Abstract

The embodiment of the application discloses a monitoring method, a monitoring device and a computer readable storage medium. The method comprises the following steps: collecting optical signals and sound signals in the working process of equipment; respectively extracting the characteristics of the collected optical signals and the collected sound signals to obtain optical signal characteristics and sound signal characteristics; and according to the optical signal characteristics and the sound signal characteristics, estimating whether partial discharge occurs in the equipment, obtaining an estimation result, and sending prompt information based on the estimation result. The method can improve the detection efficiency and the reliability of the detection result, and improve the detection intelligence.

Description

Monitoring method, device and computer readable storage medium

Technical Field

The present application relates to the field of fault detection technologies, and in particular, to a monitoring method, a monitoring device, and a computer readable storage medium.

Background

The switch cabinet in the power system is an important electrical device widely used, and is affected by the running state (overvoltage running, lightning wave impulse, harmonic distortion and the like), the defects of the device (uneven insulating materials, impurities in the interior and the like), the environment and other factors (moist or overheated) in the long-term running process, so that partial discharge can be caused, various faults are caused, and even large-area power failure is caused.

Partial discharge is a typical phenomenon before internal components of a switch cabinet or air is broken down, and multiple physical phenomena are associated in the discharge process, namely excitation radiation of ultrahigh frequency electromagnetic waves, sound signals, gas products (nitrides, carbides and the like), optical signals, temperature changes and excitation high-frequency pulse current.

In the related art, a pulse current detection method, an ultrasonic method, or an ultra-high frequency detection method is generally used to detect a partial discharge phenomenon in a switchgear. However, since the reliability of the detection result for a single method cannot be determined, multiple measurements are required to give a relatively accurate measurement result, so that the detection efficiency is low; and in the current detection method, manual participation in analysis is needed in the detection process, and the detection timeliness is low.

Disclosure of Invention

The embodiment of the application provides a monitoring method, a monitoring device and a computer readable storage medium, which can improve the detection efficiency and the reliability of a detection result and the detection intelligence.

The technical scheme of the embodiment of the application is realized as follows:

the embodiment of the application provides a monitoring method, which comprises the following steps: collecting optical signals and sound signals in the working process of equipment; respectively extracting the characteristics of the collected optical signals and the collected sound signals to obtain optical signal characteristics and sound signal characteristics; estimating whether partial discharge occurs in the device according to the light signal characteristics and the sound signal characteristics; and sending prompt information based on the estimation result.

An embodiment of the present application provides a monitoring device, including: the acquisition module is used for acquiring optical signals and sound signals in the working process of the equipment; the extraction module is used for respectively carrying out characteristic extraction on the collected optical signals and the collected sound signals to obtain optical signal characteristics and sound signal characteristics; the estimating module is used for estimating whether partial discharge occurs in the equipment according to the light signal characteristics and the sound signal characteristics; and the sending module is used for sending prompt information based on the estimation result.

An embodiment of the present application provides a monitoring device, including: the sound sensor is used for collecting sound signals in the working process of the equipment; the optical sensor is used for collecting optical signals in the working process of the equipment; a memory for storing an executable computer program; and the processor is used for combining the sound sensor and the light sensor when executing the executable computer program stored in the memory to realize the monitoring method.

The embodiment of the application provides a monitoring device, which further comprises: the sound sensor is used for collecting sound signals in the working process of the equipment; the optical sensor is used for collecting optical signals in the working process of the equipment; a memory for storing an executable computer program; the field programmable gate array is used for combining the sound sensor and the light sensor when executing the computer program in the internal storage unit to realize the part of the monitoring method; and a processor for implementing the other monitoring method when executing the executable computer program stored in the memory, combining the sound sensor and the light sensor.

An embodiment of the present application provides a computer readable storage medium storing a computer program for causing a processor to implement the above-mentioned monitoring method when executed.

The technical scheme provided by the embodiment of the application has the following technical effects: because the partial discharge phenomenon in the equipment is detected according to the optical signal and the sound signal, compared with the situation that the reliability of the detection result is uncertain when a single method is adopted for detection, the relatively accurate measurement result can be given through multiple times of measurement, and mutual evidence can be realized through the extracted optical signal characteristic and the sound signal characteristic, so that multiple times of measurement are not required, and the reliability and the detection efficiency of the detection result are improved; meanwhile, the partial discharge phenomenon in the equipment is directly detected according to the optical signal characteristics and the sound signal characteristics, and an estimation result is obtained, so that the result is obtained without manual participation in analysis, and the timeliness and the intelligence of detection are improved.

Drawings

FIG. 1A is a schematic block diagram of a pulse current detection method according to an embodiment of the present application;

FIG. 1B is a pulse voltage signal acquired by an acquisition device at a discharge instant provided by an embodiment of the present application;

FIG. 2 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application;

FIG. 3 is a schematic diagram of an exemplary set of collected sound or light signals provided by an embodiment of the present application;

FIG. 4 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application;

FIG. 5 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application;

FIG. 6 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a monitoring device according to an embodiment of the present application;

FIG. 8 is a schematic diagram of another embodiment of a monitoring device;

FIG. 9 is a schematic view of another embodiment of a monitoring device according to the present application;

Fig. 10 is a logic block diagram of processing of optical signals and acoustic signals based on a part of the hardware structure of an exemplary monitoring device provided by an embodiment of the present application.

Detailed Description

The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.

In the following description, the terms "first", "second", "third" and the like are merely used to distinguish similar objects and do not represent a specific ordering of the objects, it being understood that the "first", "second", "third" may be interchanged with a specific order or sequence, as permitted, to enable embodiments of the application described herein to be practiced otherwise than as illustrated or described herein.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the embodiments of the application is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.

Before describing embodiments of the present application in further detail, the terms and terminology involved in the embodiments of the present application will be described, and the terms and terminology involved in the embodiments of the present application are suitable for the following explanation:

1) Solar blind ultraviolet light: in particular to an ultraviolet light wave band with the wavelength of 240-270 nm, and the ultraviolet light with the wave band outside the atmosphere can hardly enter the atmosphere due to absorption of an ozone layer when entering the atmosphere. However, it is precisely the corona generated by the partial discharge of the electrical equipment that presents a large number of photons of such wavelengths in the flashover light.

In the related art, when partial discharge detection of a switchgear is performed, detection is generally performed by a pulse current method, an ultrasonic method, an ultra-high frequency method, or the like.

Pulse current detection method: the switch cabinet assembly generates partial discharge instantly, a high-frequency pulse current signal is generated, the pulse current signal is transmitted to the armor wire sleeve through the equivalent capacitance charging phenomenon of the wire core and the armor wire sleeve, and the pulse current signal is connected to the ground through the grounding wire of the cable terminal connector. The method comprises the steps of connecting a high-frequency current transformer (Current Transformer, CT) into a terminal grounding loop, connecting a signal sensed by the current transformer into an oscilloscope or a special analyzer for signal acquisition, and performing characteristic calculation (apparent discharge charge quantity, discharge phase, discharge times, discharge average current, discharge energy, power and the like) and data analysis and discrimination. FIG. 1A is a schematic block diagram of a pulse current detection method according to an embodiment of the present application; fig. 1B is a pulse voltage signal acquired by an acquisition device (oscilloscope and dedicated analyzer) at the discharge instant provided by an embodiment of the present application.

In practical application, whether a pulse signal is a partial discharge signal is judged, and the pulse signal can be finally determined by repeated monitoring and verification after comparing and analyzing acquired data in multiple aspects. Aiming at different discharge generation reasons, the method needs to establish different comparison models, mainly for the adaptation (electrical noise, dielectric impedance and the like) of application environments; it can be seen from the measurement principle of the method that the method can complete detection by means of special acquisition equipment with the sampling rate of more than 2G; in addition, the method is not suitable for real-time on-line monitoring due to cost and data volume.

Ultrasonic method: the degree and the position of partial discharge are detected by utilizing ultrasonic signals generated by the partial discharge, the frequency band is 20 kHz-220 kHz, the mechanical vibration noise can be avoided, and the electromagnetic interference is small. When partial discharge is generated, spherical waves can be emitted to the periphery as a point sound source, at the moment, ultrasonic waves can be transmitted to a plurality of angles, the transmission path is complex, and the internal structure of electrical equipment is complex, so that the attenuation of ultrasonic signals is serious and the detection sensitivity is influenced.

Ultra-high frequency detection method: in the method for monitoring partial discharge by using the ultrahigh frequency signal, the sensor does not play a role of capacitive coupling, but is an antenna for receiving the ultrahigh frequency signal, so that the principle of the ultrahigh frequency method is different from that of a pulse current method. The method has high requirements on data acquisition equipment and corresponding signal conditioning circuits due to high signal frequency, low cost and high cost for a switch cabinet functional unit.

As can be seen from the above, the detection method in the related art has the following disadvantages: for the detection result of a single method, the reliability cannot be determined, and multiple measurements are required to be carried out to give a relatively accurate measurement result; the problems of data volume and cost are only applied to detection in an offline state at present; however, in actual operation, failure faults of the switch cabinet are progressive, long-term online detection of discharge phenomena of the switch cabinet is required according to actual conditions to realize trend analysis of process quantities such as degradation degree, degradation speed and the like of the overall insulation performance of the switch cabinet, and the detection method in the related art cannot realize trend analysis of the process quantities such as degradation degree, degradation speed and the like of the overall insulation performance of the switch cabinet due to offline detection; moreover, the detection method in the related art needs to manually participate in analysis to obtain a result, thereby reducing the detection timeliness

The embodiment of the application provides a monitoring method which can improve the detection efficiency and the reliability of the detection result and the detection intelligence.

The following describes an exemplary application of the monitoring device provided by the embodiment of the present application, so as to describe the monitoring method provided by the embodiment of the present application.

Fig. 2 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application, and will be described with reference to the steps shown in fig. 2.

S101, collecting optical signals and sound signals in the working process of equipment.

In an embodiment of the application, the monitoring device may be installed in the apparatus and collect the light signal and the sound signal present in the apparatus in real time and simultaneously during operation of the apparatus.

In some embodiments of the application, the monitoring device may be attached to the apparatus by magnetic attraction; in this way, the monitoring device can be deployed into the apparatus simply and conveniently.

In an embodiment of the application, the light signal may comprise a solar blind ultraviolet light signal and the sound signal may comprise an audible sound signal having a frequency of 20Hz to 20 kHz; therefore, the monitoring device can collect the solar blind ultraviolet light signal and the audible sound signal of the equipment in the working process, and estimate the partial discharge phenomenon of the equipment in the working process by a subsequent method according to the solar blind ultraviolet light signal and the audible sound signal.

In the embodiment of the application, the equipment can be a switch cabinet in a power system, and can also be other equipment with insulating parts inside; when the equipment is a switch cabinet in a power system, the monitoring device can monitor the partial discharge phenomenon of the three-phase line cable connection terminal in the switch cabinet in real time, and the insulation performance of the three-phase line cable connection terminal in the switch cabinet is indirectly reflected through the partial discharge phenomenon.

In the embodiment of the application, the monitoring device can collect audible sound signals in the working process of the equipment through the sound sensor; the optical sensor can be used for collecting optical signals in the working process of the equipment; when the light signal comprises a solar blind ultraviolet light signal, the light sensor may be a solar blind ultraviolet light sensor or the like.

S102, respectively extracting the characteristics of the collected optical signals and the collected sound signals to obtain the characteristics of the optical signals and the characteristics of the sound signals.

In an embodiment of the present application, when the monitoring device collects the optical signal and the acoustic signal, the optical signal feature may be extracted from the collected optical signal, and the acoustic signal feature may be extracted from the acoustic signal.

In an embodiment of the application, the optical signal features comprise at least one first feature, wherein each first feature may be any one of the following:

The first fourth-order central moment is used for representing the fourth-order central moment of a group of optical signals; wherein, the group of optical signals are the optical signals in a first preset time period;

a first light intensity for characterizing a root mean square of a set of light signals;

the optical sensing frequency is used for representing the number of peaks which are larger than or equal to a peak threshold value in a group of optical signals;

The light sensing energy is used for representing the envelope area of signals which are larger than or equal to a preset threshold value in a group of light signals.

Here, the fourth-order central moment of a group of optical signals or acoustic signals is calculated, so that the small signals become smaller, the large signals become larger, and the optical signals or acoustic signals generated when the partial discharge phenomenon occurs can be detected more easily, thereby improving the sensitivity of the detection of the partial discharge phenomenon.

In an embodiment of the application, the sound signal features comprise at least one second feature, wherein each second feature may be any one of the following:

a second fourth-order central moment for characterizing a fourth-order central moment of a set of sound signals; a set of sound signals characterizes the sound signals within a second preset time period;

and a second light intensity for characterizing a root mean square of the set of sound signals.

In an embodiment of the present application, equation (1) may be used to calculate the fourth order center moment of a set of optical or acoustic signals:

wherein n represents the number of sampling points corresponding to the sampling frequency, and the value of i is 1-n.

In an embodiment of the present application, the light intensity of a set of light signals or sound signals may be calculated using equation (2):

wherein n represents the number of sampling points corresponding to the sampling frequency, and the value of t is 1-n.

In the embodiment of the present application, sampling frequencies of the sound signal and the optical signal may be the same or different, which is not limited in the embodiment of the present application.

In the embodiment of the present application, the first preset time period and the second preset time period may be the same or different. The first preset time period and the second preset time period may be sampling times, for example. In the embodiment of the application, the monitoring device can respectively judge the signal values of the collected solar blind ultraviolet light signals and the sound signals in real time in the process of collecting the solar blind ultraviolet light signals and the sound signals, when the value of a certain monitoring time point is detected to be larger than or equal to a corresponding signal threshold value, a preset time period from the certain monitoring time point is taken as sampling time, the sound signals collected at a preset sampling frequency in the sampling time are taken as a group of sound signals, and the light signals detected in the sampling time are taken as a group of light signals. The sampling time and the sampling frequency can be set at will according to actual needs, for example, the sampling time and the sampling frequency can be 16ms, 1min or the like, the number of sampling points corresponding to the sampling frequency can be 50000 or the like, and the embodiment of the application is not limited to the above. Also, the signal threshold may be set arbitrarily according to actual needs, which is not limited in the embodiment of the present application.

For example, the optical signal characteristic may be a first fourth-order central moment and the acoustic signal characteristic may be a second fourth-order central moment, so that the monitoring device may estimate the partial discharge phenomenon in the apparatus based on the first fourth-order central moment and the second fourth-order central moment.

Fig. 3 is a schematic diagram of an exemplary set of collected optical signals provided by an embodiment of the present application, where the preset threshold may be the same as the peak threshold, and the light sensing energy, the peak of the optical signal, and the light sensing intensity are shown in fig. 3, respectively. It should be noted that, the preset threshold may also be different from the peak threshold, and fig. 3 is only for exemplary illustration, and is not used to limit the numerical relationship between the preset threshold and the peak threshold.

S103, according to the light signal characteristics and the sound signal characteristics, whether partial discharge phenomenon occurs in the equipment is estimated, and an estimation result is obtained.

In the embodiment of the application, the monitoring device can estimate whether the partial discharge phenomenon occurs in the equipment currently according to the optical signal characteristics and the sound signal characteristics.

In an embodiment of the present application, it may be determined that a partial discharge phenomenon occurs in the device when a value of at least one first feature of the light signal features is greater than or equal to a corresponding first feature threshold value and a value of at least one second feature of the sound signal is greater than or equal to a corresponding second feature threshold value. In an embodiment of the application, each first feature corresponds to a first feature threshold and each second feature corresponds to a second feature threshold. For example, when the first feature is the first fourth-order central moment, the corresponding first feature threshold is a first central moment threshold, when the first feature is the first light intensity, the corresponding first feature threshold is a first intensity threshold, when the first feature is the light frequency, the corresponding first feature threshold is a frequency threshold, and when the first feature is the light energy, the corresponding first feature threshold is an energy threshold; when the second characteristic is the second fourth-order central moment, the corresponding second characteristic threshold is a second central moment threshold, and when the second characteristic is the second light sensation intensity, the corresponding second characteristic threshold is a second intensity threshold. In the embodiment of the present application, the first central moment threshold, the first intensity threshold, the frequency threshold, the energy threshold, the second central moment threshold and the second intensity threshold are all preset, and may be set according to actual needs, which is not limited in the embodiment of the present application.

For example, the monitoring device may determine that the partial discharge phenomenon currently occurs when the optical signal includes a first fourth-order central moment, the sound signal feature includes a second fourth-order central moment, the value of the first fourth-order central moment is greater than or equal to a first central moment threshold, and the value of the second fourth-order central moment is greater than or equal to a second central moment threshold.

And S104, based on the estimation result, sending prompt information.

In the embodiment of the application, after obtaining the estimation result of the partial discharge phenomenon in the equipment, the monitoring device can send corresponding prompt information to the management terminal or the management platform and the like so as to prompt the user.

In the embodiment of the application, the monitoring device can acquire and send data or information in a wireless communication data communication mode, for example, the monitoring device can send prompt information to the management terminal or the management platform in a wireless communication mode. By way of example, sub-1G wireless communication may be employed; in the wireless communication of the Internet of things, the frequency band smaller than 1GHz is called as Sub-1G, and the wireless communication system has the advantages of long transmission distance, low power consumption and the like. Here, the data or information is acquired and sent in a wireless communication data communication mode, so that the monitoring device can be conveniently deployed in the equipment on line without adding extra wiring, and the deployment difficulty of the monitoring device is reduced.

In some embodiments of the present application, the prompt information may further include collected data, for example, the obtained value of the first feature and the obtained value of the second feature, so as to send the collected data to a management terminal or a management platform for display, and so on.

In the embodiment of the application, the partial discharge phenomenon in the equipment is detected according to the optical signal and the sound signal, so that compared with the situation that the reliability of the detection result is uncertain when a single method is adopted for detection, the relatively accurate measurement result can be given through multiple times of measurement, mutual evidence can be realized through the extracted optical signal characteristic and the sound signal characteristic, multiple times of measurement are not needed, and the reliability and the detection efficiency of the detection result are improved; meanwhile, the partial discharge phenomenon in the equipment is directly detected according to the optical signal characteristics and the sound signal characteristics, and an estimation result is obtained, so that the result is obtained without manual participation in analysis, and the timeliness and the intelligence of detection are improved.

In some embodiments of the present application, the monitoring device may further estimate the level of the partial discharge phenomenon that occurs according to the obtained optical signal characteristic and the acoustic signal characteristic when it is estimated that the partial discharge phenomenon occurs currently.

Fig. 4 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application, where in a case where it is estimated that a partial discharge phenomenon occurs in a device, after S103, the method may further include: S201-S203 will be described in connection with the steps shown in fig. 4.

S201, determining a first score value corresponding to the optical signal characteristic.

In an embodiment of the present application, after obtaining the optical signal feature, the monitoring device may determine a first score value corresponding to the optical signal feature, for example, the score value corresponding to the optical signal feature may be 80 minutes or the like.

In an embodiment of the application, the optical signal features include at least one first feature, and each first feature corresponds to a preset first fractional value range. In some embodiments of the present application, the first fourth order central moment, the first light intensity, the light frequency, and the first fractional value range corresponding to the light energy sequentially increase. Here, the first fractional value range corresponding to the first fourth-order central moment is the first central moment range, the first fractional value range corresponding to the first light sensing intensity is the first intensity range, the first fractional value range corresponding to the light sensing frequency is the frequency range, and the first fractional value range corresponding to the light sensing energy is the energy range. For example, the first center moment may range from 5 to 25 minutes, the first intensity may range from 25 to 55 minutes, the frequency may range from 0 to 5 minutes, and the energy may range from 55 to 85 minutes. Here, the score value corresponding to the different first feature may represent the weight value of the corresponding first feature, for example, it is known that the value of the energy range corresponding to the light sensation energy is the largest, and therefore, the weight value of the light sensation energy is the largest in the estimation of the level of the partial discharge phenomenon. In other embodiments of the application, the first center moment range, the first intensity range, the frequency range, and the energy range may also be the same.

FIG. 5 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application; in the case where the optical signal characteristics include at least one first characteristic, each corresponding to a preset first score value range, S201 in fig. 4 may be implemented by S2011, which will be described in connection with the steps shown in fig. 5.

S2011, determining a first score value corresponding to the optical signal feature according to the value of at least one first feature included in the optical signal feature and a first score value range corresponding to the at least one first feature.

In an embodiment of the present application, after obtaining a value of a first feature, the monitoring device may determine whether the value of the first feature is greater than or equal to a corresponding first feature threshold, and determine, when the value of the first feature is greater than or equal to the corresponding first feature threshold, a score value corresponding to the first feature from a first score value range corresponding to the first feature according to a value of the first feature that exceeds the value of the first feature threshold. In the embodiment of the present application, the monitoring device may determine, as the obtained score value, the minimum score value in the corresponding first score value range when the value of the first feature is equal to the corresponding first feature threshold value, and determine, when the value of the first feature is greater than the corresponding first feature threshold value, the score value of the first feature in the corresponding first score value range according to the ratio between the value of the first feature exceeding the first feature threshold value and the first feature threshold value, and may determine, in other manners, the score value of the first feature in the corresponding first score value range, provided that the value of the first feature is in a proportional relationship with the corresponding obtained score value (i.e., when the value of the first feature is greater than or equal to the corresponding first feature threshold value, the determined score value is greater). For example, when determining a score value of the first feature in the corresponding first score value range from a ratio between a value of the first feature exceeding the first feature threshold and the first feature threshold, a product of the ratio and a maximum score value in the corresponding first score value range may be calculated, and a sum between a minimum score value in the corresponding first score value range and the product may be taken as the determined score value. For example, the first feature is a first fourth-order central moment, the value of the first fourth-order central moment is 8, the first central moment threshold is 6, and the first score value range corresponding to the first fourth-order central moment is 5-25 minutes, the monitoring device may determine that the value 8 of the obtained first fourth-order central moment is greater than 6, determine that the value of 8 exceeding 6 is 2, calculate the ratio of 2 to 6 to be 0.33, and determine that a score value is 13 (25×0.33+5) from the score value range of 5-25 minutes.

For example, when the first feature is the first fourth order central moment, the corresponding score value is a first central moment score value, when the first feature is the first light intensity, the corresponding score value is a first intensity score value, when the first feature is the light sensing frequency, the corresponding score value is a frequency score value, and when the first feature is the light sensing energy, the corresponding score value is an energy score value.

FIG. 6 is a schematic flow chart of an alternative monitoring method according to an embodiment of the present application; in the case where the optical signal characteristics include the light sensing frequency and the first fourth order center moment, S2011 in fig. 5 can be implemented by S301 to S303, and will be described in connection with the steps shown in fig. 6.

S301, determining a frequency score value corresponding to the light sensing frequency according to the value and the frequency range of the light sensing frequency when the value of the light sensing frequency is larger than or equal to a preset frequency threshold.

S302, under the condition that the value of the first fourth-order central moment is larger than or equal to a preset first central moment threshold value, determining a first central moment score value corresponding to the first fourth-order central moment according to the value of the first fourth-order central moment and a first central moment range.

S303, determining the sum of the frequency score value and the first central moment score value as a first score value.

In the embodiment of the present application, two first features in the optical signal features obtained by the monitoring device are the optical sensing frequency and the first fourth-order central moment, respectively, and when the value of the optical sensing frequency is greater than or equal to the preset frequency threshold value and the value of the first fourth-order central moment is greater than or equal to the first central moment threshold value, the monitoring device may determine the frequency score value corresponding to the optical sensing frequency and the first central moment score value corresponding to the first fourth-order central moment by adopting the method described in the S2011 part, and use the sum of the frequency score value and the first central moment score value as the first score value of the determined optical signal feature for determining the subsequent level of the partial discharge phenomenon.

In some embodiments of the present application, as shown in fig. 6, where the optical signal characteristics include the light sensing frequency and the first light sensing intensity, S2011 in fig. 5 may be implemented through S401-S403, and will be described in connection with the steps shown in fig. 6.

S401, determining a frequency score value corresponding to the light sensing frequency according to the value and the frequency range of the light sensing frequency when the value of the light sensing frequency is larger than or equal to a preset frequency threshold.

S402, determining a first intensity score value corresponding to the first light intensity according to the value of the first light intensity and the first intensity range when the value of the first light intensity is larger than or equal to a preset first intensity threshold.

S403, determining the sum of the frequency score value and the first intensity score value as a first score value.

In the embodiment of the present application, two first features in the optical signal features obtained by the monitoring device are the optical sensing frequency and the first optical sensing intensity, respectively, and when the value of the optical sensing frequency is greater than or equal to the preset frequency threshold value and the value of the first optical sensing intensity is greater than or equal to the first intensity threshold value, the monitoring device may also determine the frequency score value corresponding to the optical sensing frequency and the first intensity score value corresponding to the first optical sensing intensity by adopting the method described in the S2011 part, and use the sum of the frequency score value and the first intensity score value as the determined first score value of the optical signal feature for determining the subsequent level of the partial discharge phenomenon.

In some embodiments of the present application, as shown in fig. 6, where the optical signal characteristics include the light sensing frequency and the light sensing energy, S2011 in fig. 5 may be implemented through S501-S503, and will be described in connection with the steps shown in fig. 6.

S501, determining a frequency score value corresponding to the light sensing frequency according to the value and the frequency range of the light sensing frequency when the value of the light sensing frequency is larger than or equal to a preset frequency threshold.

S502, when the value of the light sensing energy is larger than or equal to a preset energy threshold value, determining an energy score value corresponding to the light sensing energy according to the value and the energy range of the light sensing energy.

S503, determining the sum of the frequency score value and the energy score value as a first score value.

In the embodiment of the present application, two first features in the optical signal features obtained by the monitoring device are the optical sensing frequency and the optical sensing energy, respectively, and when the value of the optical sensing frequency is greater than or equal to the preset frequency threshold and the value of the optical sensing energy is greater than or equal to the energy threshold, the monitoring device may also determine the frequency score value corresponding to the optical sensing frequency and the energy score value corresponding to the optical sensing energy by using the method described in part S2011, and use the sum of the frequency score value and the energy score value as the first score value of the determined optical signal feature for determining the subsequent level of the partial discharge phenomenon.

In other embodiments of the present application, when the optical signal feature includes a first fourth-order central moment, and the value of the first fourth-order central moment is greater than or equal to a first central moment threshold, or the optical signal feature includes a first light intensity, and the value of the first light intensity is greater than or equal to a first intensity threshold, or the optical signal feature includes a light frequency, and the value of the light frequency is greater than or equal to a frequency threshold, or the optical signal feature includes light energy, and the value of the light energy is greater than or equal to an energy threshold, the monitoring device may correspondingly determine the first central moment value, the first intensity score value, the frequency score value, or the energy score value, and use the determined corresponding score value as the first score value of the optical signal feature, respectively, for determining the level of the subsequent partial discharge phenomenon.

In other embodiments of the present application, when the optical signal characteristic includes a first fourth-order central moment and a first intensity of light, and the value of the first fourth-order central moment is greater than or equal to a first central moment threshold, the monitoring device may determine a first central moment value corresponding to the first fourth-order central moment, determine a first intensity score value corresponding to the first intensity of light, and use a sum of the first central moment value and the first intensity score value as the first score value of the optical signal characteristic for subsequent determination of the level of the partial discharge phenomenon.

In other embodiments of the present application, when the light signal characteristic includes a first light intensity and a light sense energy, and the value of the first light intensity is greater than or equal to a first intensity threshold, and the value of the light sense energy is greater than or equal to an energy threshold, the monitoring device may determine a first intensity fraction value corresponding to the first light intensity, determine an energy fraction value corresponding to the light sense energy, and use a sum of the first intensity fraction value and the energy fraction value as the first fraction value of the light signal characteristic for subsequent determination of the level of the partial discharge phenomenon.

In other embodiments of the present application, when the optical signal characteristic includes a first fourth-order central moment and light sensation energy, and the value of the first fourth-order central moment is greater than or equal to the first central moment threshold, and the value of the light sensation energy is greater than or equal to the energy threshold, the monitoring device may determine a first central moment fraction value corresponding to the first fourth-order central moment, determine an energy fraction value corresponding to the light sensation energy, and use a sum of the first central moment fraction value and the energy fraction value as the first fraction value of the optical signal characteristic for subsequent determination of the level of the partial discharge phenomenon.

S202, determining a second score corresponding to the sound signal.

In an embodiment of the present application, after obtaining the sound signal feature, the monitoring device may determine a second score corresponding to the sound signal feature, for example, the score corresponding to the sound signal feature may be 10 points.

In an embodiment of the application, the sound signal features comprise at least one second feature, and each second feature corresponds to a preset second score value range. In some embodiments of the present application, the second fourth order central moment and the second score value range corresponding to the second light sensation intensity sequentially increase. The second fractional value range corresponding to the second fourth-order central moment is a second central moment range, and the second fractional value range corresponding to the second light sensation intensity is a second intensity range. For example, the second center moment range may be 0 to 5 minutes, the second intensity range may be5 to 10 minutes, and so on. In other embodiments of the application, the second center moment range and the second intensity range may be the same, e.g., each 0-5 minutes, etc.

In some embodiments of the present application, as shown in fig. 5, S202 in fig. 4 may be implemented by S2021:

S2021, determining a second score value corresponding to the sound signal feature according to the value of at least one second feature included in the sound signal feature and a second score value range corresponding to the at least one second feature.

In an embodiment of the present application, similarly, after obtaining a value of a second feature, the monitoring device may determine whether the value of the second feature is greater than or equal to a corresponding second feature threshold, and determine, when the value of the second feature is greater than or equal to the corresponding second feature threshold, a score value corresponding to the second feature from a second score value range corresponding to the second feature according to a value of the second feature that exceeds the value of the second feature threshold.

In some embodiments of the application, for each second feature included in the sound signal feature, the monitoring device may assign it a fixed value in the corresponding second fractional value range, e.g. determine the maximum or minimum value in the corresponding second fractional value range as the fractional value corresponding to that second feature, when the value of that second feature is greater than or equal to the corresponding second feature threshold.

In other embodiments of the present application, the monitoring device may determine, as the obtained score value, the minimum score value in the corresponding second score value range when the value of the second feature is equal to the corresponding second feature threshold value, and determine, when the value of the second feature is greater than the corresponding second feature threshold value, the score value of the second feature in the corresponding second score value range according to the ratio between the value of the second feature exceeding the second feature threshold value and the second feature threshold value, and may determine, in other manners, the score value of the second feature in the corresponding second score value range, which is not limited by the embodiment of the present application, as long as the value of the second feature is in a proportional relationship with the corresponding obtained score value (i.e., when the value of the second feature is greater than or equal to the corresponding second feature threshold value, the determined score value is greater). For example, when determining a score value of the second feature in the corresponding second score value range from a ratio between the value of the second feature exceeding the second feature threshold and the second feature threshold, a product of the ratio and a maximum score value in the corresponding second score value range may be calculated, and a sum between a minimum score value in the corresponding second score value range and the product may be taken as the determined score value.

Illustratively, when the second feature is a second fourth order central moment, the corresponding score value is a second central moment score value, and when the second feature is a second light sensation intensity, the corresponding score value is a second intensity score value.

In some embodiments of the present application, where the sound signal characteristics include a second fourth order center moment, as shown in fig. 6, S2021 in fig. 5 may be implemented by S601-S602, which will be described in connection with the steps shown in fig. 6.

And S601, determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range under the condition that the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value.

S602, determining a second central moment score value as a second score value.

In the embodiment of the present application, when the second feature in the sound signal features obtained by the monitoring device is the second fourth-order central moment and the value of the second fourth-order central moment is greater than or equal to the preset second central moment threshold, the monitoring device may also determine a second central moment score value corresponding to the second fourth-order central moment by using any one of the two methods described in the section S2021, and use the second central moment score value as the determined second score value of the sound signal feature, so as to determine the subsequent level of the partial discharge phenomenon. For example, when the value of the second fourth-order central moment is greater than or equal to the corresponding second central moment threshold value, the monitoring device may assign the second fourth-order central moment a maximum value 5 in the second central moment range of 0 to 5 minutes, and determine 5 as the second central moment score value.

In some embodiments of the present application, where the sound signal characteristics include a second fourth order center moment and a second light sensation energy as shown in fig. 6, S2021 in fig. 5 may be implemented by S701-S703, which will be described in connection with the steps shown in fig. 6.

And S701, determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range under the condition that the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value.

S702, determining a second intensity score value corresponding to the second light intensity according to the value of the second light intensity and the second intensity range when the value of the second light intensity is larger than or equal to a preset second intensity threshold.

S703, determining the sum of the second center moment score value and the second intensity score value as a second score value.

In the embodiment of the present application, two second features in the sound signal features obtained by the monitoring device are a second fourth-order central moment and a second light intensity, respectively, and when the value of the second fourth-order central moment is greater than or equal to a preset second central moment threshold value and the value of the second light intensity is greater than or equal to a preset second intensity threshold value, the monitoring device may also determine a second central moment score value corresponding to the second fourth-order central moment by using the method described in section S2021, determine a second intensity score value corresponding to the second light intensity, and use the sum of the second central moment score value and the second intensity score value as the determined second score value of the sound signal feature, for determining the level of the subsequent partial discharge phenomenon. For example, when the value of the second fourth-order central moment is greater than or equal to the corresponding second central moment threshold value and the value of the second light sensation intensity is greater than or equal to the preset second intensity threshold value, the monitoring device may allocate a maximum value 5 in a corresponding second central moment range 0 to 5 minutes to the second fourth-order central moment, determine 5 as a second central moment score value, allocate a maximum value 5 in a corresponding second intensity range 0 to 5 minutes to the second light sensation intensity, determine 5 as a second intensity score value of the second light sensation intensity, and finally obtain a second score value 10 corresponding to the sound signal.

S203, determining the target grade according to the first score value, the second score value and the corresponding relation between the preset score value range and different grades.

In an embodiment of the present application, a plurality of different score value ranges and a plurality of different grades are preset, wherein each score value range corresponds to one grade one by one. After the monitoring device obtains the first score value and the second score value, a score value can be obtained according to the score value based on the first score value and the second score value, which score value range in a plurality of different score value ranges the score belongs to is determined, and a target grade corresponding to the score value range is determined according to the determined score value range and the corresponding relation between the preset plurality of different score value ranges and the preset plurality of different grades.

In some embodiments of the present application, the monitoring device may also send a prompt including the determined target level.

In some embodiments of the present application, after estimating that the partial discharge phenomenon occurs in the device according to the optical signal characteristics and the acoustic signal characteristics, S1 may further include:

S1, predicting the change trend of the partial discharge phenomenon according to the light signal characteristics and the sound signal characteristics, wherein the change trend represents the predicted severity of the partial discharge phenomenon in a preset time period.

In the embodiment of the application, the monitoring device can predict the severity of the partial discharge phenomenon within a preset time period according to the obtained monitoring data after the partial discharge phenomenon of the current equipment is predicted.

In the embodiment of the application, the preset time period can be set as a fixed time according to actual needs, for example, the preset time period can be set according to the environmental conditions (such as humidity degree, dust impurity amount) and the like of equipment; and the change trend can be estimated according to the requirement. When the preset time period can be set to a fixed time according to actual needs, for example, it can be set to one monitoring period in the future, or 2 days in the future, or the like; when the preset time period is determined according to the change trend to be estimated, for example, when the change trend to be estimated is that the severity of the partial discharge phenomenon has progressed to the severity where the serious safety hazard exists, the time required from the severity of the partial discharge phenomenon that occurs currently to the severity where the serious safety hazard exists can be determined as the preset time period to be estimated.

In some embodiments of the application, S1 may be implemented by S11-S16:

s11, performing feature screening processing on the optical signal features to obtain processed optical signal features.

In the embodiment of the application, after the monitoring device obtains the optical signal characteristics, the optical signal characteristics can be compared with the preset optical signal threshold value, and false values obtained due to false measurement are removed, so that true values which are larger than or equal to the optical signal threshold value are reserved, and the obtained true values are used as the processed optical signal characteristics. Here, the false value obtained by removing the false measurement can improve the accuracy of the estimation. Here, the optical signal threshold may be set according to actual needs, and embodiments of the present application are not limited herein.

In an embodiment of the present application, when the optical signal feature includes two or more different first features, the monitoring device may correspondingly perform feature screening processing on each first feature according to an optical signal threshold corresponding to each first feature, to obtain a value of the processed first feature. For example, when the optical signal characteristics include the optical sensing frequency, the monitoring device may perform the characteristic screening process on the optical sensing frequency according to the optical signal threshold 50 corresponding to the optical sensing frequency, so as to obtain a true value with the optical sensing frequency value greater than 50.

And S12, performing feature screening processing on the sound signal features to obtain processed sound signal features.

In the embodiment of the application, the monitoring device can compare the sound signal characteristics with the preset sound signal threshold value, and remove some false values obtained by false measurement, so as to keep the true value which is greater than or equal to the sound signal threshold value, and the obtained true value is used as the processed sound signal characteristics. Here, the threshold value of the sound signal may also be set according to actual needs, and the embodiment of the present application is not limited herein. In an embodiment of the present application, when the sound signal feature includes two or more different second features, the monitoring device may correspondingly perform feature screening processing on each second feature according to a sound signal threshold value corresponding to each second feature, to obtain a value of the processed second feature.

In the embodiment of the application, the monitoring device can perform feature screening processing on the monitoring data obtained in the preset time period, so as to obtain the processed signal features in the preset time period, and the processed signal features are used for estimating the change trend of the partial discharge phenomenon. The preset time period may be set according to actual needs, for example, may be set as a monitoring period (the monitoring period may be set according to actual needs, for example, may be one week or one day, etc.), or may be a fixed time, for example, 2 days or 10 days, etc., which is not limited in the embodiment of the present application.

S13, analyzing the first growth rate of the processed optical signal characteristics.

In the embodiment of the present application, for the optical signal feature, since each of the obtained true values corresponds to one detection time, the monitoring device may establish a two-dimensional coordinate system with time as a horizontal axis and a numerical value of the true value as a vertical axis according to the obtained true value, map all the obtained true values to each coordinate point in the two-dimensional coordinate system, and sequentially connect all the obtained coordinate points to obtain the connection line, so that the slope of the obtained whole connection line is the first growth rate of the obtained optical signal feature.

In an embodiment of the present application, when the optical signal feature includes two or more different first features, the monitoring device may determine one growth rate for each first feature, and when the obtained two or more growth rates are the same or the difference is smaller than the error value, take the average value of the obtained two or more growth rates as the first growth rate of the optical signal feature. The error value may be set according to actual needs, for example, may be 0.002, etc., which is not limited in the embodiment of the present application.

In other embodiments of the present application, when at least two growth rates of the two or more obtained growth rates are the same or have a difference smaller than the error value, an average value of the two growth rates may also be used as the first growth rate of the optical signal feature; here, the first growth rate may also be determined in other manners, and the present application is not particularly limited as to how to determine the first growth rate according to the growth rates corresponding to the plurality of first features.

S14, analyzing a second growth rate of the processed sound signal characteristics.

In the embodiment of the present application, for the sound signal feature, since each of the obtained true values corresponds to one detection time, the monitoring device may establish a two-dimensional coordinate system with time as a horizontal axis and a numerical value of the true value as a vertical axis according to the obtained true value, map all the obtained true values to each coordinate point in the two-dimensional coordinate system, and sequentially connect all the obtained coordinate points to obtain the connection line, so that the slope of the obtained connection line is the second growth rate of the obtained sound signal feature.

In the embodiment of the present application, similarly, when the sound signal feature includes two or more different second features, the monitoring means may determine one growth rate for each of the second features, and when the obtained two or more growth rates are the same or the difference is smaller than the error value, take the average value of the obtained two or more growth rates as the second growth rate of the sound signal feature. The error value may be set according to actual needs, for example, may be 0.002, etc., which is not limited in the embodiment of the present application.

In other embodiments of the present application, when at least two of the obtained two or more growth rates are the same or have a difference smaller than the error value, the average value of the two growth rates may also be used as the second growth rate of the sound signal feature; here, the second growth rate may be determined in other manners, and the present application is not limited in particular to the method how to determine the second growth rate from the growth rates corresponding to the plurality of second features.

S15, respectively estimating a first increment value of the optical signal characteristic and a second increment value of the acoustic signal characteristic in a preset time period according to the first increment rate and the second increment rate.

In the embodiment of the application, the monitoring device may estimate a first increase value of the optical signal characteristic in the preset time period according to the first increase rate, and estimate a second increase value of the sound signal characteristic in the preset time period according to the second increase rate.

S16, estimating the severity of the partial discharge phenomenon in a preset time period according to the first increment value and the second increment value.

In the embodiment of the application, the monitoring device may predict the severity of the partial discharge phenomenon occurring in the preset time period, which is expected to be reached in the preset time period, according to the magnitude relation between the first growth value and the second growth value and the preset growth threshold value, respectively. For example, when the first increment value is greater than or equal to the first increment threshold and the second increment value is greater than or equal to the second increment threshold, the monitoring device may predict that the partial discharge phenomenon has a tendency to be aggravated in the preset time period, and may determine, according to the value that the first increment value exceeds the first increment threshold and the value that the second increment value exceeds the second increment threshold, a severity of the partial discharge phenomenon that occurs that is predicted to be reached in the preset time period. Therefore, according to the first increment value and the second increment value, the change trend of the partial discharge phenomenon is determined, and the accuracy of estimation can be ensured. In the embodiment of the present application, the first growth threshold and the second growth threshold may be set according to actual needs, for example, may be 0.5, etc., which is not limited in the embodiment of the present application.

In other embodiments of the present application, the monitoring device may further predict a transition trend of the partial discharge phenomenon occurring in a future preset time period according to the obtained magnitude relation between the first growth rate and/or the second growth rate and the growth rate threshold. In other embodiments of the present application, to ensure accuracy of the prediction, the monitoring device may predict a trend of the partial discharge phenomenon according to the first growth rate and the second growth rate at the same time, for example, when the first growth rate is greater than or equal to the growth rate threshold value and the second growth rate is greater than or equal to the growth rate threshold value, the monitoring device may predict that the partial discharge phenomenon has a trend of increasing in a preset period of time; or the monitoring device can calculate the average value of the first growth rate and the second growth rate, and the average value is used as the basis for predicting the change trend of the partial discharge phenomenon. In the embodiment of the present application, the growth rate threshold may be set according to actual needs, for example, may be 0.5, etc., which is not limited in the embodiment of the present application.

In the embodiment of the application, the monitoring device can discover the problem early by predicting the severity of the partial discharge phenomenon which occurs and is expected to be reached in the preset time period, so that sufficient time for solving the problem can be reserved, the problem that the equipment is damaged to be incapable of being used can be avoided, the problem that the equipment cannot be saved is caused, and the intelligence of the monitoring device is improved.

In some embodiments of the present application, since the trend of the partial discharge phenomenon occurring in the apparatus is opposite to the trend of the insulation performance of the related component in the apparatus (for example, when the apparatus is a switchgear, the related component may be a three-phase line connection terminal inside the switchgear), the monitoring device may further estimate the trend of deterioration of the insulation performance of the related component in the apparatus, which may characterize the degree of deterioration expected to be reached in a preset time period in the future, based on the estimated trend of the partial discharge phenomenon. In other embodiments of the present application, after estimating the degradation trend of the insulation performance of the relevant component in the apparatus, the monitoring device may estimate a degradation time required for the insulation performance of the relevant component in the apparatus to degrade to a certain extent according to the degradation trend, and obtain the degradation speed of the insulation performance of the relevant component in the apparatus according to the magnitude of the degradation time and the magnitude of the degradation time obtained historically or according to the magnitude relation between the magnitude of the degradation time and the obtained degradation time of other apparatuses.

In some embodiments of the present application, the step S203 may be implemented by steps S31 to S32:

s31, determining a preset score value range corresponding to the sum of the first score value and the second score value.

S32, determining a grade corresponding to the preset score value range according to the corresponding relation between the preset score value range and different grades, and taking the determined grade as the target grade.

In the embodiment of the application, after the monitoring device obtains the first score value corresponding to the light signal characteristic and the second score value corresponding to the sound signal characteristic, the sum of the first score value and the second score value can be calculated to obtain a third score value, which score value range in the multiple different score value ranges the third score value belongs to is determined by comparing the values, the determined score value range is used as a preset score value range, the grade corresponding to the preset score value range one by one is determined according to the preset corresponding relation between the different score value ranges and the different grades, so that the target grade is obtained, and the determined target grade is used as the grade of the estimated partial discharge phenomenon. In the embodiment of the present application, the third score value and the target level are in a proportional relationship, and when the value of the third score value is higher, the target level determined according to the third score value is higher, so that the estimated level of the partial discharge phenomenon is higher.

In some embodiments of the present application, the plurality of different levels may be divided into: primary early warning, secondary early warning, tertiary early warning and warning. For example, the score value range corresponding to the first-level early warning can be 5-40 minutes, the score value range corresponding to the second-level early warning can be 25-70 minutes, and the score value range corresponding to the third-level early warning can be 55-100 minutes.

In other embodiments of the present application, the collected sound signal is used to verify the accuracy of the estimation result of whether the partial discharge phenomenon occurs or not estimated from the collected light signal. In other embodiments of the present application, when the value of the first fourth-order central moment is greater than or equal to the first central moment threshold, the value of the light sensing frequency is greater than or equal to the frequency threshold, and the value of the second fourth-order central moment is greater than or equal to the second central moment threshold, the monitoring device may determine that the level of the partial discharge phenomenon occurring is a first-level early warning level; when the value of the light sensing frequency is greater than or equal to the frequency threshold, the value of the first light sensing intensity is greater than or equal to the first intensity threshold, and the value of the second fourth-order central moment is greater than or equal to the second central moment threshold (or the value of the second fourth-order central moment is greater than or equal to the second central moment threshold, and the value of the second light sensing intensity is greater than or equal to the second intensity threshold), the monitoring device can determine that the level of the partial discharge phenomenon is a second-level early warning level; when the value of the light sensing frequency is greater than or equal to the frequency threshold, the value of the light sensing energy is greater than or equal to the energy threshold, the value of the second fourth-order central moment is greater than or equal to the second central moment threshold, and the value of the second light sensing intensity is greater than or equal to the second intensity threshold, the monitoring device can determine that the level of the partial discharge phenomenon is an alarm level.

In other embodiments of the present application, the monitoring device may further estimate the level of partial discharge occurring based on the characteristics of the optical signal after estimating that the partial discharge signal occurs in the apparatus based on the characteristics of the optical signal and the characteristics of the acoustic signal.

For example, when the value of the first fourth-order central moment is greater than or equal to the first central moment threshold value and the value of the light sensing frequency is greater than or equal to the frequency threshold value, the monitoring device may determine that the level of the partial discharge phenomenon occurring is a first-level early warning level; when the value of the light sensing frequency is greater than or equal to the frequency threshold value and the value of the first light sensing intensity is greater than or equal to the first intensity threshold value, the monitoring device can determine that the level of the partial discharge phenomenon is a secondary early warning level; when the value of the light sensing frequency is greater than or equal to the frequency threshold value and the value of the light sensing energy is greater than or equal to the energy threshold value, the monitoring device can determine that the level of the partial discharge phenomenon is an alarm level.

In some embodiments of the present application, after the monitoring apparatus estimates the degradation trend and degradation speed of the insulation performance of the device, a prompt message including the degradation trend and/or degradation speed of the insulation performance of the device may be further sent to the management terminal or the management platform, etc. to prompt the user. In other embodiments of the present application, the monitoring device may also send a score value (the third score value described above, or the first and second score values described above) that includes a score value corresponding to the target grade for reference by the user.

The monitoring method provided by the embodiment of the application can realize data acquisition, feature extraction and analysis alarm, can meet the rate requirement of the existing communication mode, and can realize online real-time monitoring; the method can accurately judge the severity level of the partial discharge phenomenon and evaluate the insulation performance of the components of the switch cabinet by combining the historical trend and the real-time state characteristics of the data.

In the monitoring method provided by the embodiment of the application, because the solar blind ultraviolet light and the audible audio signal belong to non-electric quantity signals, the monitoring method is not easy to be influenced by electromagnetic interference signals generated in the discharging process; moreover, by adopting a synchronous acquisition mechanism of light and sound, mutual evidence can be realized, more accurate analysis of the partial discharge phenomenon is realized, and the accuracy of the monitoring result is improved.

The data communication mode in the monitoring device provided by the embodiment of the application is wireless communication, and the installation mode is a magnetic installation mode, so that the monitoring device can be conveniently deployed in a switch cabinet on line without adding extra wiring.

The monitoring device provided by the embodiment of the application realizes the real-time on-line monitoring of the partial discharge phenomenon with low cost through the specificity and the accuracy of signal selection, and solves the problem of high price of the device.

The monitoring method provided by the embodiment of the application can accurately diagnose whether the partial discharge occurs in the switch cabinet or not and the severity of the partial discharge by utilizing the sound and ultraviolet light change generated by the partial discharge. Whether partial discharge occurs in the high-voltage switch cabinet can be judged through analysis, and diagnosis results are transmitted to other management equipment or management platforms (such as an upper computer system) in real time, so that operation and maintenance personnel can conveniently analyze and uniformly manage the high-voltage switch cabinet, the workload of inspection workers is reduced, and the operation and maintenance cost is reduced; moreover, the fault of the switch cabinet can be found in time, the power accident prevention capability is enhanced, the emergency response speed is improved, and the safe operation level of the whole power grid is improved.

The embodiment of the application also provides a monitoring device, and fig. 7 is a schematic structural diagram of the monitoring device provided by the embodiment of the application; as shown in fig. 7, the monitoring device 1 includes: the acquisition module 11 is used for acquiring optical signals and sound signals in the working process of the equipment; an obtaining module 12, configured to perform feature extraction on the collected optical signal and the collected sound signal, so as to obtain an optical signal feature and a sound signal feature; the estimating module 13 is configured to estimate whether a partial discharge phenomenon occurs in the device according to the optical signal characteristic and the acoustic signal characteristic, so as to obtain an estimated result; and the sending module 14 is configured to send a prompt message based on the estimation result.

An embodiment of the present application provides a monitoring device, fig. 8 is a schematic structural diagram of the monitoring device provided in the embodiment of the present application, and as shown in fig. 8, the monitoring device 1 includes: a sound sensor 21, a light sensor 22, a memory 23 and a processor 24; the sound sensor 21, the light sensor 22, the memory 23 and the processor 24 are connected through a communication bus 25; a sound sensor 21 for collecting sound signals during operation of the apparatus; a light sensor 22 for collecting light signals during operation of the device; a memory 23 for storing an executable computer program; the processor 24 is configured to implement the monitoring method provided by the embodiment of the present application by combining the sound sensor 21 and the light sensor 22 when executing the executable computer program stored in the memory 23.

An embodiment of the present application provides a monitoring device, fig. 9 is a schematic structural diagram of the monitoring device provided in the embodiment of the present application, and as shown in fig. 9, the monitoring device 1 includes: a sound sensor 31, a light sensor 32, a memory 33, a field programmable gate array 34, and a processor 35; the sound sensor 31, the light sensor 32, the memory 33, the field programmable gate array 34 and the processor 35 are connected through the communication bus 36; the sound sensor 31 is used for collecting sound signals in the working process of the equipment; a light sensor 32 for collecting light signals during operation of the device; a memory 33 for storing an executable computer program; the field programmable gate array 34 is configured to implement the partial monitoring method provided by the embodiment of the present application by combining the sound sensor 31 and the light sensor 32 when executing the computer program in the internal storage unit; the processor 35 is configured to implement another part of the monitoring method provided by the embodiment of the present application in combination with the sound sensor 31 and the light sensor 32 when executing the executable computer program stored in the memory 33.

In an embodiment of the present application, the processor 35 may perform more complex calculations in the above-described monitoring method, for example, calculations related to the first growth rate and the second growth rate in the above-described method embodiment; the field programmable gate array 34 may then perform methods other than the calculations associated with the first growth rate and the second growth rate in the method embodiments described above.

In an embodiment of the present application, the internal memory cells may be memory cells in field programmable gate array 34; in other embodiments of the present application, the internal memory cells may also be memory chips coupled to field programmable gate array 34.

In some embodiments of the present application, the field programmable gate array 34 further includes a digital filter configured with a register set for filtering noise signals other than optical and acoustic signals, such as mechanical noise, electrical noise, and environmental noise.

In some embodiments of the present application, field programmable gate array 34 further includes a filter coefficient register for adjusting the bandwidth of the center frequency of the digital filter configured with the register set.

In some embodiments of the present application, the processor 35 further includes a functional serial port for receiving preset configuration information, where the configuration information may include: a preset time period, sampling time, sampling frequency, serial number of equipment, system time, position information of the equipment, a first central moment threshold value, a second central moment threshold value, a frequency threshold value, one or more of a first intensity threshold value, a second intensity threshold value and an energy threshold value and the like; and is also used for sending the prompt information.

In the embodiment of the application, after the configuration information is input through the functional serial port, when the monitoring device is started again, the monitoring device can monitor the partial discharge phenomenon in the equipment by the input configuration information.

In some embodiments of the present application, field programmable gate array 34, when executing a computer program in an internal memory unit, may implement: respectively extracting the characteristics of the collected optical signals and the collected sound signals to obtain optical signal characteristics and sound signal characteristics; and estimating the partial discharge phenomenon in the equipment according to the light signal characteristics and the sound signal characteristics.

In some embodiments of the present application, field programmable gate array 34, when executing a computer program in an internal memory unit, may implement: after estimating that partial discharge occurs in the equipment according to the light signal characteristics and the sound signal characteristics, determining a first score value corresponding to the light signal characteristics; determining a second score value corresponding to the sound signal; and determining a target grade according to the first score value, the second score value, the preset score value range and the corresponding relation between different grades. .

In some embodiments of the present application, field programmable gate array 34, when executing a computer program in an internal memory unit, may implement: determining a preset score value range corresponding to the sum of the first score value and the second score value; and determining a grade corresponding to the preset score value range according to the corresponding relation between the preset score value range and different grades, and taking the determined grade as the target grade.

In some embodiments of the application, the processor 35, when executing the executable computer program stored in the memory 33, may implement: and estimating the change trend of the partial discharge phenomenon according to the light signal characteristics and the sound signal characteristics after the partial discharge phenomenon in the equipment is estimated, wherein the change trend represents the estimated severity of the partial discharge phenomenon in a preset time period.

In some embodiments of the application, the processor 35, when executing the executable computer program stored in the memory 33, may implement: performing feature screening treatment on the optical signal features to obtain the treated optical signal features; performing feature screening processing on the sound signal features to obtain processed sound signal features; analyzing a first growth rate of the processed optical signal characteristics; analyzing a second rate of increase of the processed sound signal characteristics; respectively estimating a first increment value of the light signal characteristic and a second increment value of the sound signal characteristic in the preset time period according to the first increment rate and the second increment rate; and estimating the severity of the partial discharge phenomenon in the preset time period according to the first increment value and the second increment value.

In some embodiments of the application, the light signal features comprise at least one first feature, the sound signal features comprise at least one second feature, each first feature corresponds to a predetermined first range of score values, and each second feature corresponds to a predetermined second range of score values; the field programmable gate array 34, when executing the computer program in the internal memory unit, may implement: determining the first score value corresponding to the optical signal feature according to the value of the at least one first feature included in the optical signal feature and a first score value range corresponding to the at least one first feature; and determining the second score value corresponding to the sound signal feature according to the value of the at least one second feature included in the sound signal feature and the second score value range corresponding to the at least one second feature.

In some embodiments of the application, where the optical signal feature comprises two different first features, and the two different first features are the light sensing frequency and the first fourth order central moment, respectively, the value of the at least one first feature comprises: the value of the light sensing frequency and the value of the first fourth-order central moment; the first fractional value range includes: a frequency range and a first center moment range; the field programmable gate array 34, when executing the computer program in the internal memory unit, may implement: when the value of the light sensing frequency is larger than or equal to a preset frequency threshold, determining a frequency score value corresponding to the light sensing frequency according to the value of the light sensing frequency and the frequency range; determining a first central moment score value corresponding to the first fourth-order central moment according to the value of the first fourth-order central moment and the first central moment range under the condition that the value of the first fourth-order central moment is larger than or equal to a preset first central moment threshold value; and determining the sum of the frequency fraction value and the first central moment fraction value as the first fraction value.

In some embodiments of the application, where the light signal feature comprises two different first features, and the two different first features are the light sensing frequency and the first light sensing intensity, respectively, the value of the at least one first feature comprises: the value of the light sensing frequency and the value of the first light sensing intensity, the first fractional value range including: a frequency range and a first intensity range; the field programmable gate array 34, when executing the computer program in the internal memory unit, may implement: when the value of the light sensing frequency is larger than or equal to a preset frequency threshold, determining a frequency score value corresponding to the light sensing frequency according to the value of the light sensing frequency and the frequency range; determining a first intensity score value corresponding to the first light sensation intensity according to the value of the first light sensation intensity and the first intensity range under the condition that the value of the first light sensation intensity is larger than or equal to a preset first intensity threshold value; and determining the sum of the frequency fraction value and the first intensity fraction value as the first fraction value.

In some embodiments of the application, where the light signal feature comprises two different first features, and the two different first features are the light sensing frequency and the light sensing energy, respectively, the value of the at least one first feature comprises: the value of the light sensing frequency and the value of the light sensing energy, the first fractional value range including: frequency range and energy range; the field programmable gate array 34, when executing the computer program in the internal memory unit, may implement: when the value of the light sensing frequency is larger than or equal to a preset frequency threshold, determining a frequency score value corresponding to the light sensing frequency according to the value of the light sensing frequency and the frequency range; when the value of the light sensing energy is larger than or equal to a preset energy threshold value, determining an energy score value corresponding to the light sensing energy according to the value of the light sensing energy and the energy range; and determining the sum of the frequency fraction value and the energy fraction value as the first fraction value.

In some embodiments of the application, where the sound signal feature comprises one second feature and the second feature is the second fourth order center moment, the value of the at least one second feature comprises: the second fourth order central moment, the second fractional value range comprising: a second central moment range; the field programmable gate array 34, when executing the computer program in the internal memory unit, may implement: determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range when the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value; and determining the second central moment score value as the second score value.

In some embodiments of the application, where the sound signal feature comprises two different second features, and the two different second features are the second fourth order center moment and the second light intensity, respectively, the value of the at least one second feature comprises: the values of the second fourth order central moment and the values of the second light sensation energy, the second fractional value range including: a second center moment range and a second intensity range; the field programmable gate array 34, when executing the computer program in the internal memory unit, may implement: determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range when the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value; determining a second intensity score value corresponding to the second light sensation intensity according to the value of the second light sensation intensity and the second intensity range under the condition that the value of the second light sensation intensity is larger than or equal to a preset second intensity threshold value; and determining the sum of the second center moment fraction value and the second intensity fraction value as the second fraction value.

Fig. 10 is a logic block diagram of processing of optical signals and acoustic signals based on a part of the hardware structure of an exemplary monitoring device provided by an embodiment of the present application. As shown in fig. 10, the computer program in the internal memory unit for execution by the field programmable gate array (Field Programmable GATE ARRAY, FPGA) may be divided into a feature algorithm calculation module, a signal feature state automatic identification module, and an acousto-optic evidence synchronization analysis and discrimination module. The processor connected with the FPGA is a 32-bit processor, the 32-bit processor further comprises a user interface serial port 1 and a communication interface serial port 2, and the FPGA further comprises an adaptive digital filter, a digital filter configuration register (i.e. a digital filter configured with a register set) and an estimated interface configuration register (i.e. a filter coefficient register).

An exemplary processing logic for the optical signal and the acoustic signal is described below based on fig. 10.

The "digital audio signal" is a digital signal obtained by converting an acquired analog audible sound signal; the digital quantity of the solar blind signal is a digital signal obtained by converting an acquired analog solar blind ultraviolet light signal. After the collected time domain sound signals (audible sound signals) and time domain light signals (solar blind ultraviolet light signals) respectively pass through the digital filter, the characteristic algorithm calculation module and the acousto-optic evidence synchronous analysis and discrimination module respectively extract the light signal characteristics and the sound signal characteristics. After the characteristic algorithm calculation module extracts the optical signal characteristics of the optical signal, the signal characteristic state automatic identification module judges whether the corresponding early warning or alarm state is reached according to the value of the optical signal characteristics; the sound-light evidence synchronous analysis and discrimination module determines an evaluation result according to the extracted sound signal characteristic value, the light signal characteristic value and the corresponding early warning or alarm state discriminated by the signal characteristic state automatic discrimination module according to the light signal characteristic value, wherein the evaluation result comprises the determined corresponding early warning or alarm state and a score value corresponding to the determined early warning or alarm state; then, the 32-bit processor may send the evaluation result to the management device or the management platform or the like through the communication interface serial port 2.

Embodiments of the present application provide a computer readable storage medium storing executable instructions, in which a computer program is stored which, when executed by a processor, causes the processor to perform the monitoring method provided by the embodiments of the present application.

In some embodiments of the application, the storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; but may be a variety of devices including one or any combination of the above memories.

In some embodiments of the application, the executable instructions may be in the form of programs, software modules, scripts, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and they may be deployed in any form, including as stand-alone programs or as modules, components, subroutines, or other units suitable for use in a computing environment.

As an example, executable instructions may, but need not, correspond to files in a file system, may be stored as part of a file that holds other programs or data, such as in one or more scripts in a hypertext markup language (HTML, hyper Text Markup Language) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).

As an example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices located at one site or distributed across multiple sites and interconnected by a communication network.

The foregoing is merely exemplary embodiments of the present application and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims

1. A monitoring method applied to a monitoring device, comprising:

collecting optical signals and sound signals in the working process of equipment;

respectively extracting the characteristics of the collected optical signals and the collected sound signals to obtain optical signal characteristics and sound signal characteristics;

Estimating whether partial discharge occurs in the equipment according to the light signal characteristics and the sound signal characteristics to obtain an estimation result;

based on the estimation result, sending prompt information;

After estimating that a partial discharge phenomenon occurs in the device based on the light signal characteristic and the sound signal characteristic, the method further comprises:

Determining a first score value corresponding to the optical signal feature according to the value of at least one first feature included in the optical signal feature and a first score value range corresponding to the at least one first feature;

Determining the second score value corresponding to the sound signal feature according to the value of at least one second feature included in the sound signal feature and a second score value range corresponding to the at least one second feature;

determining a preset score value range corresponding to the sum of the first score value and the second score value;

Determining a grade corresponding to a preset score value range according to the corresponding relation between the preset score value range and different grades, and taking the determined grade as a target grade;

wherein, in the case that the optical signal features include two different first features, and the two different first features are the light sensing frequency and the first fourth order central moment, respectively, the value of the at least one first feature includes: the value of the light sensing frequency and the value of the first fourth-order central moment; the first fractional value range includes: a frequency range and a first center moment range; the light sensing frequency is used for representing the number of wave peaks which are larger than or equal to a wave peak threshold value in a group of light signals; the first fourth-order central moment is used for representing the fourth-order central moment of a group of optical signals; wherein the group of optical signals are optical signals within a first preset time period; the determining the first score value corresponding to the optical signal feature according to the value of the at least one first feature included in the optical signal feature and the first score value range corresponding to the at least one first feature includes:

When the value of the light sensing frequency is larger than or equal to a preset frequency threshold, determining a frequency score value corresponding to the light sensing frequency according to the value of the light sensing frequency and the frequency range; determining a first central moment score value corresponding to the first fourth-order central moment according to the value of the first fourth-order central moment and the first central moment range under the condition that the value of the first fourth-order central moment is larger than or equal to a preset first central moment threshold value; determining a sum of the frequency fraction value and the first central moment fraction value as the first fraction value;

In the case where the sound signal feature comprises two different second features, and the two different second features are a second fourth order central moment and a second light intensity, respectively, the value of the at least one second feature comprises: the values of the second fourth order central moment and the second light sensation intensity, the second fractional value range including: a second center moment range and a second intensity range; the second fourth-order central moment is used for representing the fourth-order central moment of a group of sound signals; the set of sound signals characterizes sound signals within a second preset time period; the second light intensity is used for representing root mean square of a group of sound signals; the determining the second score value corresponding to the sound signal feature according to the value of the at least one second feature included in the sound signal feature and the second score value range corresponding to the at least one second feature includes:

Determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range when the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value; determining a second intensity score value corresponding to the second light sensation intensity according to the value of the second light sensation intensity and the second intensity range under the condition that the value of the second light sensation intensity is larger than or equal to a preset second intensity threshold value; and determining the sum of the second center moment fraction value and the second intensity fraction value as the second fraction value.

2. The method of claim 1, wherein the light signal comprises a solar blind ultraviolet light signal and the sound signal comprises an audible sound signal.

3. The method according to claim 1, wherein after estimating that a partial discharge phenomenon occurs in the device based on the light signal characteristic and the sound signal characteristic, comprising:

And estimating the change trend of the partial discharge phenomenon according to the characteristics of the light signal and the sound signal, wherein the change trend represents the estimated severity of the partial discharge phenomenon in a preset time period.

4. A method according to claim 3, wherein said predicting the trend of the partial discharge phenomenon occurring based on the light signal characteristic and the sound signal characteristic comprises:

Performing feature screening treatment on the optical signal features to obtain the treated optical signal features;

performing feature screening processing on the sound signal features to obtain processed sound signal features;

analyzing a first growth rate of the processed optical signal characteristics;

analyzing a second rate of increase of the processed sound signal characteristics;

Respectively estimating a first increment value of the light signal characteristic and a second increment value of the sound signal characteristic in the preset time period according to the first increment rate and the second increment rate;

and estimating the severity of the partial discharge phenomenon in the preset time period according to the first increment value and the second increment value.

5. The method of claim 1, wherein the step of determining the position of the substrate comprises,

Each first feature is any one of the following:

A first light intensity and light energy; wherein,

The first light intensity is used for representing root mean square of a group of light signals;

6. The method of claim 5, wherein, in the case where the light signal characteristic comprises two different first characteristics, and the two different first characteristics are the light sensing frequency and the first light sensing intensity, respectively, the value of the at least one first characteristic comprises: the value of the light sensing frequency and the value of the first light sensing intensity, the first fractional value range including: a frequency range and a first intensity range; the determining the first score value corresponding to the optical signal feature according to the value of the at least one first feature included in the optical signal feature and the first score value range corresponding to the at least one first feature includes:

when the value of the light sensing frequency is larger than or equal to a preset frequency threshold, determining a frequency score value corresponding to the light sensing frequency according to the value of the light sensing frequency and the frequency range;

Determining a first intensity score value corresponding to the first light sensation intensity according to the value of the first light sensation intensity and the first intensity range under the condition that the value of the first light sensation intensity is larger than or equal to a preset first intensity threshold value;

And determining the sum of the frequency fraction value and the first intensity fraction value as the first fraction value.

7. The method of claim 5, wherein, in the case where the light signal characteristic comprises two different first characteristics, and the two different first characteristics are the light sensing frequency and the light sensing energy, respectively, the value of the at least one first characteristic comprises: the value of the light sensing frequency and the value of the light sensing energy, the first fractional value range including: frequency range and energy range; the determining the first score value corresponding to the optical signal feature according to the value of the at least one first feature included in the optical signal feature and the first score value range corresponding to the at least one first feature includes:

when the value of the light sensing energy is larger than or equal to a preset energy threshold value, determining an energy score value corresponding to the light sensing energy according to the value of the light sensing energy and the energy range;

And determining the sum of the frequency fraction value and the energy fraction value as the first fraction value.

8. The method of claim 5, wherein, in the case where the sound signal feature comprises one second feature and the second feature is the second fourth order center moment, the value of the at least one second feature comprises: the second fourth order central moment, the second fractional value range comprising: a second central moment range; the determining the second score value corresponding to the sound signal feature according to the value of the at least one second feature included in the sound signal feature and the second score value range corresponding to the at least one second feature includes:

Determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range when the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value;

and determining the second central moment score value as the second score value.

9. The method of claim 1, wherein the monitoring device is attached to the apparatus by magnetic attraction.

10. A monitoring device, comprising:

the acquisition module is used for acquiring optical signals and sound signals in the working process of the equipment;

The extraction module is used for respectively carrying out characteristic extraction on the collected optical signals and the collected sound signals to obtain optical signal characteristics and sound signal characteristics; the optical signal features include two different first features, and in the case where the two different first features are the light sensing frequency and the first fourth order central moment, respectively, the value of at least one first feature includes: the value of the light sensing frequency and the value of the first fourth-order central moment; the first score value range corresponding to the first feature comprises: a frequency range and a first center moment range; the light sensing frequency is used for representing the number of wave peaks which are larger than or equal to a wave peak threshold value in a group of light signals; the first fourth-order central moment is used for representing the fourth-order central moment of a group of optical signals; wherein the group of optical signals are optical signals within a first preset time period; in the case where the sound signal feature comprises two different second features, and the two different second features are a second fourth order central moment and a second light intensity, respectively, the value of the at least one second feature comprises: the value of the second fourth-order central moment and the value of the second light sensation intensity, and the second fractional value range corresponding to the second feature comprises: a second center moment range and a second intensity range; the second fourth-order central moment is used for representing the fourth-order central moment of a group of sound signals; the set of sound signals characterizes sound signals within a second preset time period; the second light intensity is used for representing root mean square of a group of sound signals; determining the second score value corresponding to the sound signal feature according to the value of the at least one second feature included in the sound signal feature and the second score value range corresponding to the at least one second feature;

The estimating module is used for estimating whether partial discharge occurs in the equipment according to the light signal characteristics and the sound signal characteristics;

The sending module is used for sending prompt information based on the estimation result;

The grade determining module is used for determining a frequency score value corresponding to the light sensing frequency according to the value of the light sensing frequency and the frequency range under the condition that the value of the light sensing frequency is larger than or equal to a preset frequency threshold value; determining a first central moment score value corresponding to the first fourth-order central moment according to the value of the first fourth-order central moment and the first central moment range under the condition that the value of the first fourth-order central moment is larger than or equal to a preset first central moment threshold value; determining a sum of the frequency fraction value and the first central moment fraction value as the first fraction value; determining a second center moment score value corresponding to the second fourth-order center moment according to the value of the second fourth-order center moment and the second center moment range when the value of the second fourth-order center moment is larger than or equal to a preset second center moment threshold value; determining a second intensity score value corresponding to the second light sensation intensity according to the value of the second light sensation intensity and the second intensity range under the condition that the value of the second light sensation intensity is larger than or equal to a preset second intensity threshold value; determining a sum of the second center moment fraction value and the second intensity fraction value as the second fraction value; determining a preset score value range corresponding to the sum of the first score value and the second score value; and determining a grade corresponding to the preset score value range according to the corresponding relation between the preset score value range and different grades, and taking the determined grade as a target grade.

11. A monitoring device, comprising:

the sound sensor is used for collecting sound signals in the working process of the equipment;

The optical sensor is used for collecting optical signals in the working process of the equipment;

a memory for storing an executable computer program;

A processor for implementing the method of any of the preceding claims 1 to 9 in combination with the sound sensor and light sensor when executing an executable computer program stored in the memory.

12. A monitoring device, further comprising:

a memory for storing an executable computer program;

A field programmable gate array for implementing part of the method of any one of the preceding claims 1 to 9 in combination with said acoustic sensor and light sensor when executing a computer program in an internal memory unit;

a processor for implementing another part of the method of any one of the preceding claims 1 to 9 in combination with the sound sensor and the light sensor when executing an executable computer program stored in the memory.

13. A computer readable storage medium, characterized in that a computer program is stored for causing a processor to implement the method of any one of claims 1 to 9 when executed.