CN112162181A

CN112162181A - Monitoring method, monitoring device and computer readable storage medium

Info

Publication number: CN112162181A
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: 2021-01-01

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 signal and the collected sound signal to obtain optical signal characteristics and sound signal characteristics; estimating whether a partial discharge phenomenon occurs in the equipment or not according to the optical signal characteristics and the sound signal characteristics to obtain an estimation result, and sending prompt information based on the estimation result. The method can improve the detection efficiency, the reliability of the detection result and the detection intelligence.

Description

Monitoring method, monitoring 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 and apparatus, and a computer-readable storage medium.

Background

A switch cabinet in an electric power system is an important electric device widely used, and is affected by factors (moisture or overheating) such as an operating state (overvoltage operation, lightning wave impact, harmonic distortion and the like), a defect of the device (non-uniform insulating material, impurities in the interior and the like) and the environment during long-term operation, so that partial discharge is caused, and various faults and even large-area power failure are caused.

Partial discharge is a typical phenomenon before the inner components of the switch cabinet or air are broken down, and is accompanied by multiple physical phenomena in the discharge process, namely excitation radiation of ultrahigh frequency electromagnetic waves, sound signals, gas products (nitride, carbide 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 ultrahigh frequency detection method is generally adopted to detect a partial discharge phenomenon in a switch cabinet. However, because the reliability of the detection result of a single method cannot be determined, multiple measurements are needed to give a relatively accurate measurement result, and thus, the detection efficiency is low; in addition, the existing detection method needs manual analysis 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, 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 signal and the collected sound signal to obtain optical signal characteristics and sound signal characteristics; estimating whether a partial discharge phenomenon occurs in the equipment according to the optical signal characteristics and the sound signal characteristics; and sending prompt information based on the estimation result.

The embodiment of the application provides a monitoring devices, includes: 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 extracting the characteristics of the collected optical signal and the collected sound signal to obtain the characteristics of the optical signal and the sound signal; the estimation module is used for estimating whether the partial discharge phenomenon occurs in the equipment or not according to the optical signal characteristics and the sound signal characteristics; and the sending module is used for sending prompt information based on the estimation result.

The embodiment of the application provides a monitoring devices, includes: the sound sensor is used for acquiring sound signals in the working process of the equipment; the optical sensor is used for acquiring optical signals in the working process of the equipment; a memory for storing an executable computer program; a processor for implementing the above-described monitoring method in conjunction with the sound sensor and the light sensor when executing the executable computer program stored in the memory.

The embodiment of the application provides a monitoring devices, still includes: the sound sensor is used for acquiring sound signals in the working process of the equipment; the optical sensor is used for acquiring 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 optical sensor to realize the partial monitoring method when executing the computer program in the internal storage unit; a processor for implementing the further part of the monitoring method described above in combination with the sound sensor and the light sensor when executing the executable computer program stored in the memory.

An embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and is configured to cause a processor to execute the computer program to implement the monitoring method.

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, and a relatively accurate measurement result can be given through multiple measurements, mutual evidence can be realized through the extracted optical signal characteristic and the sound signal characteristic, so that multiple measurements 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 analysis, and the timeliness and the intelligence of detection are improved.

Drawings

FIG. 1A is a block diagram of a measurement principle of a pulse current detection method provided in an embodiment of the present application;

fig. 1B is a pulse voltage signal collected by a collection device at a discharging moment according to an embodiment of the present disclosure;

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

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

FIG. 4 is a schematic flow chart of an alternative monitoring method provided by the embodiments of the present application;

FIG. 5 is a schematic flow chart of an alternative monitoring method provided by the embodiments of the present application;

FIG. 6 is a schematic flow chart of an alternative monitoring method provided by the embodiments of the present application;

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

FIG. 8 is a schematic structural diagram of another monitoring device provided in the embodiments of the present application;

FIG. 9 is a schematic view of another structure of a monitoring device provided in an embodiment of the present application;

fig. 10 is a logic block diagram of processing an optical signal and an acoustic signal based on a part of a hardware structure of a monitoring device according to an embodiment of the present application.

Detailed Description

In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection 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 understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

In the following description, references to the terms "first \ second \ third" are only to distinguish similar objects and do not denote a particular order, but rather the terms "first \ second \ third" are used to interchange specific orders or sequences, where appropriate, so as to enable the embodiments of the application described herein to be practiced in other than the order shown or described herein.

Unless defined otherwise, all technical and scientific terms used in the examples of this application 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 present application is for the purpose of describing the embodiments of the present application only and is not intended to be limiting of the present application.

Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application are explained, and the terms and expressions referred to in the embodiments of the present application are applicable to the following explanations:

1) solar blind ultraviolet light: the ultraviolet light wave band with the wavelength of 240-270 nm is particularly used, and when the ultraviolet light in the wave band outside the atmosphere enters the atmosphere, the ultraviolet light can hardly enter the atmosphere due to the absorption of an ozone layer. However, there are a large number of photons of such wavelengths in the corona, flashover light produced by partial discharges in electrical equipment.

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

Pulse current detection method: when partial discharge occurs in the switch cabinet assembly, a high-frequency pulse current signal can be generated, the pulse current signal is transmitted to the armored wire sleeve through the charging phenomenon of the equivalent capacitance of the wire core and the armored wire sleeve, and the ground wire is connected to the ground through the ground wire of the cable terminal connector. The method comprises the steps of connecting a high-frequency Current Transformer (CT) into a terminal grounding loop, then connecting a signal sensed by the Current Transformer into an oscilloscope or a special analyzer for signal acquisition, and carrying out characteristic calculation (apparent discharge charge quantity, discharge phase, discharge times, discharge average Current, discharge energy, power and the like) and data analysis and judgment. FIG. 1A is a block diagram of a measurement principle of a pulse current detection method provided in an embodiment of the present application; fig. 1B is a pulse voltage signal collected by a collection device (oscilloscope and dedicated analyzer) at the moment of discharge according to an embodiment of the present application.

In practical application, whether a pulse signal is a partial discharge signal or not is judged, and the pulse signal can be finally determined only by acquiring data from multiple aspects, comparing and analyzing the data, and repeatedly monitoring and verifying the data. Aiming at different discharge generation reasons, different comparison models need to be established, and the method mainly aims at adaptation to application environments (electrical noise, dielectric impedance and the like); according to the measurement principle of the method, the method can complete detection only by means of special acquisition equipment with the sampling rate of more than 2G; in addition, this method is not suitable for real-time online monitoring due to the cost and data volume of the method.

An ultrasonic method: the degree and the position of the partial discharge are detected by using an ultrasonic signal generated by the partial discharge, and the common frequency band is 20 kHz-220 kHz, so that 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, ultrasonic waves can be transmitted to a plurality of angles at the moment, the transmission path is complex, and the internal structure of the electrical equipment is complex, so that the ultrasonic signal attenuation is serious, and the detection sensitivity is influenced.

And (3) ultrahigh frequency detection method: the method for monitoring partial discharge by using ultrahigh frequency signals uses a sensor which does not play a role of capacitive coupling but is an antenna for receiving ultrahigh frequency signals, so that the principle of the ultrahigh frequency method is different from that of the pulse current method. The method has high requirements on data acquisition equipment and a corresponding signal conditioning circuit due to high signal frequency, is low in manufacturing cost and has high cost for one 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 a relatively accurate measurement result can be given only by carrying out multiple measurements; the problems of data volume and cost are only applied to detection in an off-line state at present; however, in actual operation, failure faults of the switch cabinet are gradual, and the trend analysis of process quantities such as the degradation degree and the degradation speed of the overall insulation performance of the switch cabinet can be realized only by performing long-term online detection on the discharge phenomenon of the switch cabinet according to actual conditions, but the trend analysis of the process quantities such as the degradation degree and the degradation speed of the overall insulation performance of the switch cabinet cannot be realized due to the offline detection of the detection method in the related art; and, the detection method in the related art needs manual participation in analysis to obtain the 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 a detection result, and improve the detection intelligence.

An exemplary application of the monitoring device provided in the embodiment of the present application is described below to illustrate the monitoring method provided in the embodiment of the present application.

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

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

In an embodiment of the application, the monitoring device may be installed in the apparatus and collect the optical signal and the acoustic signal occurring in the apparatus in real time and simultaneously during the operation of the apparatus.

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

In embodiments of the present 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 estimate the partial discharge phenomenon in the working process of the equipment by acquiring the solar blind ultraviolet light signal and the audible sound signal which occur in the working process of the equipment and 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 an insulating part inside; when the equipment is a switch cabinet in an electric power system, the monitoring device can monitor the partial discharge phenomenon of the three-phase line cable connecting terminal inside the switch cabinet in real time, and indirectly reflects the insulation performance of the three-phase line cable connecting terminal inside the switch cabinet 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; optical signals in the working process of the equipment can be collected through the optical sensor; 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.

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

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

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

a first fourth order central moment for characterizing a fourth order central moment of a set of optical signals; the group of optical signals are optical signals in a first preset time period;

a first photo intensity representing a root mean square of a set of optical signals;

the light sensing frequency is used for representing the number of wave crests of a group of optical signals, wherein the wave crests are larger than or equal to a wave crest threshold value;

and the light sensation energy is used for representing the envelope area of the signal which is greater than or equal to a preset threshold value in the group of light signals.

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

In an embodiment of the application, the sound signal characteristic comprises at least one second characteristic, wherein each second characteristic 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 group of sound signals represent the sound signals in a second preset time period;

and the second light sensation intensity is used for representing the root mean square of the group of sound signals.

In an embodiment of the present application, a fourth order central moment of a set of optical or acoustic signals may be calculated using equation (1):

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

In the embodiment of the present application, the light sensation intensity of a set of light signals or sound signals can be calculated by using formula (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, the sampling frequencies of the sound signal and the light signal may be the same or different, and the embodiment of the present application does not limit this.

In the embodiment of the present application, the first preset time period and the second preset time period may be the same or different. For example, the first preset time period and the second preset time period may be sampling times. In the embodiment of the application, the monitoring device can respectively judge the signal values of the acquired solar blind ultraviolet light signal and the acquired sound signal in real time in the process of acquiring the solar blind ultraviolet light signal and the sound signal, when the value of a certain monitoring time point is detected to be greater than or equal to the corresponding signal threshold value, a preset time period starting from the certain monitoring time point is used as sampling time, the sound signals acquired at a preset sampling frequency in the sampling time are used as a group of sound signals, and the light signals detected in the sampling time are used as a group of light signals. The sampling time and the sampling frequency may be set arbitrarily according to actual needs, for example, 16ms, or 1min, and the number of sampling points corresponding to the sampling frequency may be 50000, and the like, which is not limited in this embodiment of the present application. Similarly, the signal threshold may be set arbitrarily according to actual needs, and this is not limited in this 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, where the preset threshold may be the same as the peak threshold, and the light sensation energy, the peak of the optical signal, and the light sensation intensity are respectively shown in fig. 3. 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, estimating whether a partial discharge phenomenon occurs in the equipment or not according to the optical signal characteristics and the sound signal characteristics to obtain an estimation result.

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

In an embodiment of the application, it may be determined that a partial discharge phenomenon has occurred in the device in case that a value of at least one first feature in 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 in the sound signal features 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 a first fourth-order central moment, the corresponding first feature threshold is a first central moment threshold, when the first feature is a first light sensation intensity, the corresponding first feature threshold is a first intensity threshold, when the first feature is a light sensation frequency, the corresponding first feature threshold is a frequency threshold, and when the first feature is a light sensation energy, the corresponding first feature threshold is an energy threshold; when the second feature is a second fourth-order central moment, the corresponding second feature threshold is a second central moment threshold, and when the second feature is a second light sensation intensity, the corresponding second feature 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, when the optical signal includes a first fourth-order central moment, the sound signal feature includes a second fourth-order central moment, a value of the first fourth-order central moment is greater than or equal to a first central moment threshold value, and a value of the second fourth-order central moment is greater than or equal to a second central moment threshold value, the monitoring device may determine that the partial discharge phenomenon is currently occurring.

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

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

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

In some embodiments of the application, the prompt information may further include acquired data, for example, the acquired values of the first characteristic and the second characteristic, so as to send the acquired data to a management terminal or a management platform for display, and the like.

In the embodiment of the application, 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, and a 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, so that 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 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 according to the obtained optical signal characteristic and the sound signal characteristic when the partial discharge phenomenon is estimated to be currently generated.

Fig. 4 is an optional flowchart of the monitoring method according to the embodiment of the present application, and in a case that it is estimated that a partial discharge phenomenon occurs in the device, after the step S103, the method may further include: s201 to S203 will be explained with reference to the steps shown in fig. 4.

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

In an embodiment of the present application, after obtaining the optical signal characteristic, the monitoring device may determine a first fractional value corresponding to the optical signal characteristic, for example, the fractional value corresponding to the optical signal characteristic may be 80 points.

In an embodiment of the present application, the optical signal characteristics include at least one first characteristic, and each first characteristic corresponds to a predetermined first range of fractional values. In some embodiments of the present application, the first fractional value ranges corresponding to the first fourth-order central moment, the first light sensation intensity, the light sensation frequency and the light sensation energy are sequentially increased. Here, the first fractional value range corresponding to the first fourth-order central moment is a first central moment range, the first fractional value range corresponding to the first light sensation intensity is a first intensity range, the first fractional value range corresponding to the light sensation frequency is a frequency range, and the first fractional value range corresponding to the light sensation energy is an energy range. For example, the first central moment can be in the range of 5 to 25 minutes, the first intensity can be in the range of 25 to 55 minutes, the frequency can be in the range of 0 to 5 minutes, and the energy can be in the range of 55 to 85 minutes. Here, the score values corresponding to different first features may represent the weight values of the corresponding first features, for example, as can be seen from the above, the value of the energy range corresponding to the light sensation energy is the largest, so the weight value of the light sensation energy in the estimation of the level of the partial discharge phenomenon is the largest. In other embodiments of the present application, the first central 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 provided by the embodiments of the present application; in the case that the optical signal characteristics include at least one first characteristic, and each first characteristic corresponds to a preset first score value range, S201 in fig. 4 may be implemented by S2011, which will be described with reference to the steps shown in fig. 5.

S2011, determining a first fractional 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 fractional value range corresponding to the at least one first feature.

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

Illustratively, the corresponding score value is a first central moment score value when the first feature is a first fourth-order central moment, the corresponding score value is a first intensity score value when the first feature is a first light sensation intensity, the corresponding score value is a frequency score value when the first feature is a light sensation frequency, and the corresponding score value is an energy score value when the first feature is a light sensation energy.

FIG. 6 is a schematic flow chart of an alternative monitoring method provided by the embodiments of the present application; in the case where the optical signal characteristics include the optical sensing frequency and the first fourth-order central moment, S2011 in fig. 5 may be implemented by S301 to S303, which will be described with reference to the steps shown in fig. 6.

S301, under the condition that the value of the light sensation frequency is larger than or equal to a preset frequency threshold, determining a frequency fraction value corresponding to the light sensation frequency according to the value and the frequency range of the light sensation frequency.

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 fraction 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.

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

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

In some embodiments of the present application, as shown in fig. 6, in the case that the light signal characteristic includes the light sensation frequency and the first light sensation intensity, S2011 in fig. 5 may be implemented by S401 to S403, which will be described with reference to the steps shown in fig. 6.

S401, under the condition that the value of the light sensation frequency is larger than or equal to a preset frequency threshold value, determining a frequency fraction value corresponding to the light sensation frequency according to the value and the frequency range of the light sensation frequency.

S402, under the condition that the value of the first light sensation intensity is larger than or equal to a preset first intensity threshold value, 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.

And S403, determining the sum of the frequency fraction value and the first strength fraction value as a first fraction value.

In an embodiment of the application, when two first characteristics of the optical signal characteristics obtained by the monitoring device are the light sensing frequency and the first light sensing intensity, respectively, a value of the light sensing frequency is greater than or equal to a preset frequency threshold, and a value of the first light sensing intensity is greater than or equal to a first intensity threshold, the monitoring device may also use the method described in section S2011 to determine a frequency fraction value corresponding to the light sensing frequency and a first intensity fraction value corresponding to the first light sensing intensity, respectively, and use a sum of the frequency fraction value and the first intensity fraction value as the determined first fraction value of the optical signal characteristics, so as to determine the level of the subsequent partial discharge phenomenon.

In some embodiments of the present application, as shown in fig. 6, in the case that the light signal characteristics include light sensing frequency and light sensing energy, S2011 in fig. 5 may be implemented by S501-S503, which will be described with reference to the steps shown in fig. 6.

S501, under the condition that the value of the light sensation frequency is larger than or equal to a preset frequency threshold, determining a frequency fraction value corresponding to the light sensation frequency according to the value and the frequency range of the light sensation frequency.

S502, under the condition that the value of the light sensation energy is larger than or equal to the preset energy threshold value, determining an energy fraction value corresponding to the light sensation energy according to the value of the light sensation energy and the energy range.

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

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

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

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

In an embodiment of the present application, after obtaining the sound signal characteristic, the monitoring device may determine a second score value corresponding to the sound signal characteristic, for example, the score value corresponding to the sound signal characteristic may be 10 scores or the like.

In an embodiment of the application, the sound signal characteristic includes at least one second characteristic, and each second characteristic corresponds to a preset second score value range. In some embodiments of the present application, the second fourth-order central moment and the second partial value range corresponding to the second light sensation intensity are sequentially increased. The second component value range corresponding to the second fourth-order central moment is the second central moment range, and the second component value range corresponding to the second light sensation intensity is the second intensity range. For example, the second central moment may range from 0 to 5 minutes, the second intensity may range from 5 to 10 minutes, and so on. In other embodiments of the present application, the second range of central moments and the second range of intensities may be the same, e.g., 0-5 points each, 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 characteristic according to at least one second characteristic value included in the sound signal characteristic and a second score value range corresponding to the at least one second characteristic.

In the 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 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 exceeding the second feature threshold when the value of the second feature is greater than or equal to the corresponding second feature threshold.

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

In other embodiments of the present application, the monitoring device may likewise determine a minimum score value in the corresponding second score value range as the obtained score value when the value of the second feature is equal to the corresponding second feature threshold value, when the value of the second feature is greater than the corresponding second feature threshold, determining a score value of the second feature in the corresponding second score value range according to a ratio between a value of the second feature exceeding the second feature threshold and the second feature threshold, and otherwise determining a score value of the second feature in the corresponding second score value range. For example, when determining 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 and the second feature threshold, the product of the ratio and the maximum score value in the corresponding second score value range may be calculated, and the sum of the minimum score value in the corresponding second score value range and the product may be used 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 perceived intensity, the corresponding score value is a second intensity score value.

In some embodiments of the present application, as shown in fig. 6, in the case where the sound signal feature includes the second fourth order central moment, S2021 in fig. 5 may be implemented by S601-S602, which will be described in conjunction with the steps shown in fig. 6.

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

And S602, determining the second central moment fraction value as a second fraction value.

In an embodiment of the application, when the second feature of 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 fraction 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 fraction value as the second fraction value of the determined sound signal feature, so as to be used for determining 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, the monitoring device may assign the second fourth-order central moment a maximum value 5 in a second central moment range of 0-5 points, and determine 5 as the second central moment fraction value.

In some embodiments of the present application, as shown in fig. 6, in the case that the sound signal feature includes the second fourth-order central moment and the second photosensitive energy, S2021 in fig. 5 may be implemented by S701-S703, which will be described with reference to the steps shown in fig. 6.

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

S702, determining a second intensity score value corresponding to the second light sensation intensity according to the second light sensation intensity value and the second intensity range under the condition that the second light sensation intensity value is greater than or equal to a preset second intensity threshold value.

And S703, determining the sum of the second central moment fraction value and the second intensity fraction value as a second score value.

In an embodiment of the application, when two second features of the sound signal features obtained by the monitoring device are a second fourth-order central moment and a second light sensation intensity, respectively, a value of the second fourth-order central moment is greater than or equal to a preset second central moment threshold, and a value of the second light sensation intensity is greater than or equal to a preset second intensity threshold, the monitoring device may also determine a second central moment fraction value corresponding to the second fourth-order central moment by using the method described in section S2021, determine a second intensity fraction value corresponding to the second light sensation intensity, and use a sum of the second central moment fraction value and the second intensity fraction value as a second fraction value of the determined sound signal feature, so as to be used for determining a 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, and the value of the second light sensation intensity is greater than or equal to the preset second intensity threshold, the monitoring device may assign a maximum value 5 in a range of 0 to 5 minutes of the corresponding second central moment for the second fourth-order central moment, determine 5 as the second central moment fraction value, assign a maximum value 5 in a range of 0 to 5 minutes of the corresponding second intensity for the second light sensation intensity, determine 5 as the second intensity fraction value of the second light sensation intensity, and finally obtain a second fraction value 10 corresponding to the sound signal.

S203, determining a 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 the embodiment of the 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 in a one-to-one mode. After the monitoring device obtains the first score value and the second score value, a score value can be obtained according to the first score value and the second score value, the score value range of a plurality of different score value ranges is determined, and the target grade corresponding to the score value range is determined according to the determined score value range, the preset corresponding relation between the plurality of different score value ranges and the 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 has occurred in the device according to the optical signal characteristic and the sound signal characteristic, S1 may be further included:

and S1, estimating the variation trend of the generated partial discharge phenomenon according to the optical signal characteristics and the sound signal characteristics, wherein the variation trend represents the estimated severity of the generated partial discharge phenomenon in a preset time period.

In the embodiment of the application, the monitoring device can estimate the severity degree of the partial discharge phenomenon in a future preset time period according to the obtained monitoring data after estimating that the partial discharge phenomenon occurs in the current equipment.

In the embodiment of the application, the preset time period may be set as a fixed time according to actual needs, for example, the preset time period may be set according to the environment (e.g., humidity, amount of dust and impurities) where the equipment is placed; 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 a future monitoring cycle, or to 2 days in the future, etc.; when the preset time period is determined according to the variation trend which needs to be estimated, for example, when the variation trend which needs to be estimated is that the severity of the partial discharge phenomenon has developed to the severity of the major potential safety hazard, the time required from the severity of the currently occurring partial discharge phenomenon to the severity of the major potential safety hazard can be determined as the preset time period for estimation.

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

and S11, performing characteristic screening processing on the optical signal characteristics to obtain the processed optical signal characteristics.

In the embodiment of the present application, after obtaining the optical signal characteristic, the monitoring device may compare the optical signal characteristic with a preset optical signal threshold, and remove some false values obtained due to false detection, so as to retain a true value greater than or equal to the optical signal threshold, and use the obtained true value as the processed optical signal characteristic. Here, removing false values obtained by false detection can improve the accuracy of estimation. Here, the optical signal threshold may 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 optical signal characteristics include two or more different first characteristics, the monitoring device may correspondingly perform characteristic screening processing on each first characteristic according to an optical signal threshold corresponding to each first characteristic, so as to obtain a value of the processed first characteristic. For example, when the optical signal characteristic includes the light sensing frequency, the monitoring device may perform the characteristic screening process on the light sensing frequency according to the optical signal threshold 50 corresponding to the light sensing frequency, so as to obtain the true value of the light sensing frequency greater than 50.

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

In the embodiment of the present application, similarly, the monitoring device may compare the voice signal characteristic with a preset voice signal threshold, remove some false values obtained due to false detection, so as to retain a true value greater than or equal to the voice signal threshold, and use the obtained true value as the processed voice signal characteristic. Here, the threshold 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 characteristics include two or more different second characteristics, the monitoring device may correspondingly perform characteristic screening processing on each second characteristic according to a sound signal threshold corresponding to each second characteristic, so as to obtain a value of the processed second characteristic.

In the embodiment of the application, the monitoring device may perform feature screening processing on the monitoring data obtained within a preset time period, so as to obtain the processed signal features within the preset time period, so as to estimate the variation trend of the generated partial discharge phenomenon. The preset time period may be set according to actual needs, for example, may be set to be a monitoring period (the monitoring period may be set according to actual needs, for example, may be a week or a day, and the like), and may also be a fixed time, for example, 2 days or 10 days, and the like, which is not limited in this embodiment of the application.

And S13, analyzing the first increase rate of the characteristic of the processed optical signal.

In the embodiment of the application, for the optical signal characteristic, each true value in the obtained true values corresponds to a detection time, so that 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 values, 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, where the slope of the obtained whole connection line is the first growth rate of the obtained optical signal characteristic.

In an embodiment of the application, when the optical signal characteristic includes two or more different first characteristics, the monitoring device may determine a growth rate for each first characteristic, and when the obtained two or more growth rates are the same or have a difference smaller than the error value, use an average value of the obtained two or more growth rates as the first growth rate of the optical signal characteristic. The error value may be set according to actual needs, for example, may be 0.002, and the embodiment of the present application is not limited thereto.

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, an average of the two growth rates may be used as the first growth rate of the optical signal feature; here, the first increase rate may also be determined in other manners, and the application is not particularly limited to how to determine the first increase rate according to the increase rates corresponding to the plurality of first features.

And S14, analyzing the second increase rate of the processed sound signal characteristic.

In the embodiment of the application, for the voice signal feature, each true value in the obtained true values corresponds to a detection time, so that 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 values, 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, where a slope of the obtained connection line is the second growth rate of the obtained voice signal feature.

In an embodiment of the application, similarly, when the sound signal characteristic includes two or more different second characteristics, the monitoring device may determine one growth rate for each of the second characteristics, and when the obtained two or more growth rates are the same or have a difference smaller than the error value, use an average value of the obtained two or more growth rates as the second growth rate of the sound signal characteristic. The error value may be set according to actual needs, for example, may be 0.002, and the embodiment of the present application is not limited thereto.

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, an average of the two growth rates may be used as the second growth rate of the sound signal feature; here, the second growth rate may also be determined in other manners, and the application is also not limited in particular to how to determine the second growth rate according to the growth rates corresponding to the plurality of second features.

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

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

And S16, estimating the expected severity of the partial discharge phenomenon in a preset time period according to the first and second increasing values.

In the embodiment of the application, the monitoring device may estimate the expected severity of the partial discharge phenomenon occurring within the preset time period according to the magnitude relationship between the first and second growth values and the preset growth threshold, respectively. For example, when the first increase value is greater than or equal to the first increase threshold and the second increase value is greater than or equal to the second increase threshold, the monitoring device may estimate that the partial discharge phenomenon has a tendency to be aggravated within the preset time period, and may determine the expected severity of the partial discharge phenomenon occurring within the preset time period according to a value of the first increase value exceeding the first increase threshold and a value of the second increase value exceeding the second increase threshold. Therefore, the variation trend of the generated partial discharge phenomenon is determined according to the first increment value and the second increment value, and the estimated accuracy can be ensured. In the embodiment of the present application, the first increase threshold and the second increase threshold may be set according to actual needs, for example, may be 0.5, and the like, which is not limited in the embodiment of the present application.

In other embodiments of the present application, the monitoring device may further estimate a transformation trend of the partial discharge phenomenon occurring in a future preset time period according to the obtained magnitude relationship between the first and/or second growth rate and the growth rate threshold. In other embodiments of the present application, to ensure the estimation accuracy, the monitoring device may estimate a variation trend of the partial discharge phenomenon according to the first and second growth rates at the same time, for example, when the first growth rate is greater than or equal to a growth rate threshold and the second growth rate is greater than or equal to the growth rate threshold, the monitoring device may estimate a trend of the partial discharge phenomenon increasing within a preset time period; alternatively, the monitoring device may calculate an average value of the first growth rate and the second growth rate, and use the average value as a basis for estimating a variation trend of the partial discharge phenomenon. In the embodiment of the present application, the increase rate threshold may be set according to actual needs, for example, may be 0.5, and the like, which is not limited in the embodiment of the present application.

In the embodiment of the application, the monitoring device can discover the problems earlier by estimating the expected severity of the generated partial discharge phenomenon in the preset time period, so that sufficient time for solving the problems can be reserved, the problem can be avoided being discovered when the device is damaged and cannot be used, the problem 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 equipment is opposite to the trend of the insulation performance of the related components in the equipment (for example, when the equipment is a switch cabinet, the related components may be three-phase line connection terminals inside the switch cabinet), the monitoring device may further estimate a trend of the deterioration of the insulation performance of the related components in the equipment according to the estimated trend of the partial discharge phenomenon, and the trend of the deterioration of the insulation performance may represent the degree of deterioration expected to be reached in a preset time period in the future. In other embodiments of the present application, after the monitoring device estimates the degradation trend of the insulation performance of the relevant components in the equipment, the monitoring device may estimate a degradation time required for the insulation performance of the relevant components in the equipment to degrade to a certain degree according to the degradation trend, and obtain the degradation speed of the insulation performance of the relevant components in the equipment according to the magnitude of the degradation time and the magnitude of the degradation time obtained in the history, or according to the magnitude relationship between the magnitude of the degradation time and the obtained degradation times of other equipment.

In some embodiments of the present application, the above S203 may be implemented by S31-S32:

and S31, determining a preset score value range corresponding to the sum of the first score value and the second score value.

And S32, determining the 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 an embodiment of the application, after obtaining the first score value corresponding to the optical signal characteristic and the second score value corresponding to the audio signal characteristic, the monitoring device may calculate a sum of the first score value and the second score value to obtain a third score value, determine which score value range of the plurality of different score value ranges the third score value belongs to in a manner of comparing magnitudes of the values, use the determined score value range as a preset score value range, and determine a level corresponding to the preset score value range one to one according to a preset corresponding relationship between the different score value ranges and the different levels, thereby obtaining a target level, and use the determined target level as a level of the estimated partial discharge phenomenon. In the embodiment of the application, the third fractional value and the target level are in a direct proportion relationship, and when the value of the third fractional value is higher, the target level determined according to the third fractional value is higher, so that the level of the occurrence of the partial discharge phenomenon is estimated to be 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 acoustic signal serves to verify the accuracy of the estimation result of whether the partial discharge phenomenon is estimated to occur or not based on the collected optical 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 is the first-level early warning level; when the value of the light sensation frequency is greater than or equal to the frequency threshold, the value of the first light sensation 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 sensation 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 secondary early warning level; when the light sensation frequency value is greater than or equal to the frequency threshold value, the light sensation energy value is greater than or equal to the energy threshold value, the second fourth-order central moment value is greater than or equal to the second central moment threshold value, and the second light sensation intensity value is greater than or equal to the second intensity threshold value, the monitoring device can determine that the level of the generated partial discharge phenomenon is the alarm level.

In other embodiments of the present application, after the occurrence of the partial discharge phenomenon in the apparatus is estimated based on the optical signal characteristics and the acoustic signal characteristics, the monitoring device may further estimate the level of the occurrence of the partial discharge phenomenon based on the optical signal characteristics.

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 is a first-level early warning level; when the light sensation frequency value is greater than or equal to the frequency threshold value and the first light sensation intensity value is greater than or equal to the first intensity threshold value, the monitoring device can determine the grade of the generated partial discharge phenomenon as a secondary early warning grade; when the light sensation frequency value is greater than or equal to the frequency threshold value and the light sensation energy value is greater than or equal to the energy threshold value, the monitoring device can determine the level of the partial discharge phenomenon as the alarm level.

In some embodiments of the present application, after the monitoring device estimates the degradation trend and the degradation rate of the insulation performance of the equipment, a prompt message including the degradation trend and/or the degradation rate of the insulation performance of the equipment may be further sent to a management terminal, a management platform, or the like, so as to prompt a user. In other embodiments of the present application, the monitoring device may further transmit a score value (the third score value, or the first score value and the second score value) corresponding to the target level for the user to refer to.

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

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

The data communication mode among the monitoring devices that this application embodiment provided is wireless communication, and the mounting means is for magnetism to inhale the formula mounting means, therefore can be convenient on-line deploy to the cubical switchboard in, need not to increase extra wiring.

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

According to the monitoring method provided by the embodiment of the application, whether the switch cabinet generates the partial discharge or not and the severity of the partial discharge can be accurately diagnosed by using 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 the diagnosis result is 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 perform analysis and unified management, 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 capacity is enhanced, and the emergency response speed is increased, so that the safe operation level of the whole power grid is improved.

An embodiment of the present application further provides a monitoring device, and fig. 7 is a schematic structural diagram of the monitoring device provided in the embodiment of the present 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 sound signal respectively to obtain an optical signal feature and a sound signal feature; an estimation module 13, configured to estimate whether a partial discharge phenomenon occurs in the device according to the optical signal characteristic and the sound signal characteristic, so as to obtain an estimation result; and a sending module 14, configured to send a prompt message based on the estimation result.

The 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; the sound sensor 21 is used for acquiring sound signals in the working process of the equipment; the optical sensor 22 is used for collecting optical signals in the working process of the equipment; 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 in combination with the sound sensor 21 and the light sensor 22 when executing the executable computer program stored in the memory 23.

The 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 a communication bus 36; the sound sensor 31 is used for acquiring sound signals in the working process of the equipment; the optical sensor 32 is used for collecting optical signals in the working process of the equipment; a memory 33 for storing an executable computer program; the field programmable gate array 34 is used for combining the sound sensor 31 and the optical sensor 32 to realize part of the monitoring method provided by the embodiment of the application 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 34.

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 and second growth rates in the above-described method embodiment; the field programmable gate array 34 may then perform the method of the above-described method embodiments in addition to the calculations associated with the first growth rate and the second growth rate.

In the embodiment of the present application, the internal memory unit may be a memory unit in the field programmable gate array 34; in other embodiments of the present application, the internal memory unit may also be a memory chip connected to the 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 the optical and acoustic signals, such as mechanical, electrical, and environmental noise.

In some embodiments of the present application, the 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, configured to receive preset configuration information, where the configuration information may include: one or more of 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, a first intensity threshold value, a second intensity threshold value, an energy threshold value and the like; and is also used for sending the prompt message.

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 using the input configuration information.

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

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

In some embodiments of the present application, the field programmable gate array 34, when executing the computer program in the 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 the 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 present application, the processor 35, when executing the executable computer program stored in the memory 33, may implement: after the occurrence of the partial discharge phenomenon in the equipment is estimated according to the optical signal characteristics and the sound signal characteristics, estimating a variation trend of the occurrence of the partial discharge phenomenon according to the optical signal characteristics and the sound signal characteristics, wherein the variation trend represents the expected severity of the occurrence of the partial discharge phenomenon in a preset time period.

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

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

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

In some embodiments of the present application, in a case that the light signal characteristic includes two different first characteristics, and the two different first characteristics are the light sensation frequency and the first light sensation intensity, respectively, a value of the at least one first characteristic includes: the value of the light sensation frequency and the value of the first light sensation intensity, and the first fractional value range comprises: a frequency range and a first intensity range; the field programmable gate array 34, when executing the computer program in the internal storage unit, may implement: determining a frequency score value corresponding to the light sensation frequency according to the value of the light sensation frequency and the frequency range under the condition that the value of the light sensation frequency is greater than or equal to a preset frequency threshold; determining a first intensity score value corresponding to the first light sensation intensity according to the first light sensation intensity value and the first intensity range under the condition that the first light sensation intensity value is greater than or equal to a preset first intensity threshold value; determining a sum of the frequency score value and the first intensity score value as the first score value.

In some embodiments of the present application, in a case where the light signal characteristic includes 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 includes: the value of the light sensation frequency and the value of the light sensation energy, and the first fractional value range comprises: frequency range and energy range; the field programmable gate array 34, when executing the computer program in the internal storage unit, may implement: determining a frequency score value corresponding to the light sensation frequency according to the value of the light sensation frequency and the frequency range under the condition that the value of the light sensation frequency is greater than or equal to a preset frequency threshold; under the condition that the value of the light sensation energy is greater than or equal to a preset energy threshold value, determining an energy fraction value corresponding to the light sensation energy according to the value of the light sensation energy and the energy range; determining a sum of the frequency fraction value and the energy fraction value as the first fraction value.

In some embodiments of the present application, in a case where the sound signal feature includes one second feature, and the second feature is the second fourth-order central moment, the value of the at least one second feature includes: a value of the second fourth-order central moment, the second range of fractional values comprising: a second range of central moments; the field programmable gate array 34, when executing the computer program in the internal storage unit, may implement: determining a second central moment fraction value corresponding to a second fourth-order central moment according to the value of the second fourth-order central moment and the second central moment range under the condition that the value of the second fourth-order central moment is greater than or equal to a preset second central moment threshold value; determining the second central moment fraction value as the second fraction value.

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

Fig. 10 is a logic block diagram of processing an optical signal and an acoustic signal based on a part of a hardware structure of a monitoring device according to an embodiment of the present application. As shown in fig. 10, a computer program in an internal storage unit for an FPGA (Field Programmable Gate Array) to execute may be divided into a feature algorithm calculating module, a signal feature state automatic identification module, and an acousto-optic evidence synchronous 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 (namely a digital filter configured with a register group) and an estimation interface configuration register (namely a filter coefficient register).

An exemplary processing logic for optical and audio signals is described below based on fig. 10.

The 'audio signal digital quantity' is a digital signal obtained by converting a collected analog audible sound signal; the solar blind signal digital quantity 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 a digital filter, a characteristic algorithm calculation module and an acousto-optic evidence synchronous analysis and judgment module respectively extract the characteristics of the light signals and the characteristics of the sound signals. 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 acousto-optic evidence-based synchronous analysis and judgment module determines an evaluation result according to the extracted values of the sound signal characteristics and the light signal characteristics and the corresponding early warning or alarming state judged by the signal characteristic state automatic identification module according to the values of the light signal characteristics, wherein the evaluation result comprises the determined corresponding early warning or alarming state and a score value corresponding to the determined early warning or alarming state; then, the 32-bit processor may send the evaluation result to a management device or a management platform, etc. through the communication interface serial port 2.

Embodiments of the present application provide a computer-readable storage medium storing executable instructions, where a computer program is stored, and when the computer program is executed by a processor, the computer program will cause the processor to execute the monitoring method provided by the embodiments of the present application.

In some embodiments of the present application, the storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or may be various 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 a program, software module, script, or code, written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

By way of example, executable instructions may correspond, but do not necessarily have to correspond, to files in a file system, and may be stored in a portion of a file that holds other programs or data, such as in one or more scripts in a hypertext Markup Language (HTML) 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).

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

The above description is only an example of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, and improvement 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 is applied to a monitoring device and is characterized by comprising the following steps:

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

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

estimating whether a partial discharge phenomenon occurs in the equipment or not according to the optical signal characteristics and the sound signal characteristics to obtain an estimation result;

and sending prompt information based on the estimation result.

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 of claim 1, further comprising, after estimating that a partial discharge phenomenon has occurred in the device based on the light signal characteristic and the sound signal characteristic:

determining a first fractional value corresponding to the optical signal characteristic;

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 and the corresponding relation between the preset score value range and different grades.

4. The method of claim 3, wherein determining the target grade according to the first score value, the second score value, and the corresponding relationship between the preset score value range and different grades comprises:

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

and determining the 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.

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

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

6. The method of claim 5, wherein estimating the trend of the partial discharge phenomenon based on the light signal characteristic and the sound signal characteristic comprises:

carrying out characteristic screening processing on the optical signal characteristics to obtain processed optical signal characteristics;

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

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

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

respectively estimating a first increase value of the optical signal characteristic and a second increase value of the sound signal characteristic in the preset time period according to the first increase rate and the second increase rate;

and estimating the expected severity of the generated partial discharge phenomenon in the preset time period according to the first and second increase values.

7. The method of claim 3, wherein the light signal characteristic comprises at least one first characteristic, the sound signal characteristic comprises at least one second characteristic, each first characteristic corresponds to a predetermined first range of scores, and each second characteristic corresponds to a predetermined second range of scores;

the determining a first fractional value corresponding to the optical signal characteristic includes:

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

the determining a second score value corresponding to the sound signal includes:

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

8. The method of claim 7,

each first feature is any one of:

a first fourth-order central moment, a first light sensation intensity, a light sensation frequency and a light sensation energy; wherein the content of the first and second substances,

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

the first light sensation intensity is used for representing the root mean square of a group of optical signals;

the light sensing frequency is used for representing the number of wave crests in a group of optical signals, wherein the wave crests are larger than or equal to a wave crest threshold value;

the light sensation energy is used for representing the envelope area of a signal which is greater than or equal to a preset threshold value in a group of optical signals;

each second feature is any one of:

a second fourth order central moment and a second perceived intensity; wherein the content of the first and second substances,

the second fourth-order central moment is used for representing the fourth-order central moment of a group of sound signals; the group of sound signals represents sound signals within a second preset time period;

the second light sensation intensity is used for representing the root mean square of a group of sound signals.

9. The method of claim 8, wherein in the case that the light signal characteristic comprises two different first characteristics, and the two different first characteristics are the light sensing frequency and the first fourth-order central moment, respectively, the value of the at least one first characteristic comprises: the value of the light perception frequency and the value of the first fourth-order central moment; the first range of fractional values comprises: a frequency range and a first central moment range; determining the first fractional value corresponding to the optical signal characteristic according to the value of the at least one first characteristic included in the optical signal characteristic and the first fractional value range corresponding to the at least one first characteristic, includes:

determining a frequency score value corresponding to the light sensation frequency according to the value of the light sensation frequency and the frequency range under the condition that the value of the light sensation frequency is greater than or equal to a preset frequency threshold;

under the condition that the value of the first fourth-order central moment is greater than or equal to a preset first central moment threshold value, determining a first central moment fraction 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;

determining a sum of the frequency fraction value and the first central moment fraction value as the first fraction value.

10. The method of claim 8, wherein in the case that the light signal characteristic comprises two different first characteristics, and the two different first characteristics are the light sensation frequency and the first light sensation intensity, respectively, the value of the at least one first characteristic comprises: the value of the light sensation frequency and the value of the first light sensation intensity, and the first fractional value range comprises: a frequency range and a first intensity range; determining the first fractional value corresponding to the optical signal characteristic according to the value of the at least one first characteristic included in the optical signal characteristic and the first fractional value range corresponding to the at least one first characteristic, includes:

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

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

11. The method of claim 8, wherein in the case that 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 sensation frequency and the value of the light sensation energy, and the first fractional value range comprises: frequency range and energy range; determining the first fractional value corresponding to the optical signal characteristic according to the value of the at least one first characteristic included in the optical signal characteristic and the first fractional value range corresponding to the at least one first characteristic, includes:

under the condition that the value of the light sensation energy is greater than or equal to a preset energy threshold value, determining an energy fraction value corresponding to the light sensation energy according to the value of the light sensation energy and the energy range;

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

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

determining a second central moment fraction value corresponding to a second fourth-order central moment according to the value of the second fourth-order central moment and the second central moment range under the condition that the value of the second fourth-order central moment is greater than or equal to a preset second central moment threshold value;

determining the second central moment fraction value as the second fraction value.

13. The method of claim 8, wherein in the case that the sound signal feature comprises two different second features, and the two different second features are the second fourth-order central moment and the second light sensation intensity, respectively, the value of the at least one second feature comprises: a value of the second fourth-order central moment and a value of the second photosensitive energy, the second fractional value range including: a second range of central moments and a second range of intensities; the determining, according to the value of the 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, the second score value corresponding to the sound signal feature includes:

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

determining a sum of the second central moment fraction value and the second intensity fraction value as the second score value.

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

15. 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 extracting the characteristics of the collected optical signal and the collected sound signal to obtain the characteristics of the optical signal and the sound signal;

the estimation module is used for estimating whether the partial discharge phenomenon occurs in the equipment or not according to the optical signal characteristics and the sound signal characteristics;

and the sending module is used for sending prompt information based on the estimation result.

16. A monitoring device, comprising:

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

the optical sensor is used for acquiring 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 one of claims 1 to 14 in conjunction with the sound sensor and light sensor when executing an executable computer program stored in the memory.

17. A monitoring device, comprising:

a memory for storing an executable computer program;

a field programmable gate array for implementing part of the method of any one of claims 1 to 14 in combination with said sound sensor and light sensor when executing a computer program in an internal memory unit;

a processor for implementing, in conjunction with the sound sensor and the light sensor, another part of the method of any one of claims 1 to 14 when executing the executable computer program stored in the memory.

18. A computer-readable storage medium, in which a computer program is stored for causing a processor, when executed, to carry out the method of any one of claims 1 to 14.