CN114166852A - Smoothing reactor on-line monitoring method and system based on multispectral detection - Google Patents
Smoothing reactor on-line monitoring method and system based on multispectral detection Download PDFInfo
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Abstract
The invention provides a smoothing reactor on-line monitoring method and system based on multispectral detection, which comprises the following steps: respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology; obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model; the establishment of the smoothing reactor on-line monitoring model is obtained by analyzing a big data technology on the basis of spectral data acquired by combining a solar blind ultraviolet light detection technology and a visible light detection technology, considering a discharge mechanism and considering the corresponding relation between different detected characteristic quantities; according to the method, the smoothing reactor is monitored in real time, the reactor is timely found to discharge along the surface, fixed-point monitoring and historical data filing are achieved, then detection data are automatically analyzed, the reactor discharge can be checked in real time, fault early warning is carried out in advance, and long-term reliable operation of the smoothing reactor is guaranteed.
Description
Technical Field
The disclosure belongs to the technical field of online monitoring, and particularly relates to a smoothing reactor online monitoring method and system based on multispectral detection.
Background
The electric reactor is increasingly important in the tasks born by the power grid, from a neutral point electric reactor to reactive compensation equipment, from an alternating current and direct current filter element to a smoothing electric reactor of an extra-high voltage direct current transmission system, and the electric reactor becomes the main equipment of the power system; in recent years, the fault of the reactor is often subjected to fire burning accidents in the operation of a power grid, and the fault of the reactor cannot be found in time and pre-control measures are taken due to the absence of an effective fault detection method, so that the problem of solving the fault detection method of the reactor is very urgent along with the more and more important function of the reactor in a power system.
The design starting point of the reactor is that the reactor can stably operate outdoors for a long time, but some problems are exposed along with the large-scale use of the reactor, wherein the problem of dendritic discharge on the surface refers to: the surface of the reactor is likely to generate dirt accumulation under long-term outdoor operation conditions, the surface of the reactor is cracked due to pulverization of hydrophobic materials on the surface, when the reactor is in heavy fog or rainy days, a dirt layer on the surface is affected with damp, water enters the inside of the package from the cracked part of the surface, surface leakage current is increased, heat is generated, water in a concentrated area of a surface electric field is evaporated quickly, a dry area appears in partial areas of the surface, local surface resistance is changed, small local electric arcs are formed, the electric arcs are combined along with the increase of time, and dendritic discharge burning marks are formed on the surface to form along-plane dendritic discharge; if dendritic discharge on the surface of the smoothing reactor is further developed, turn-to-turn short circuit between windings of the smoothing reactor can be caused, local overheating is caused, and then serious operation accidents, even firing and burning are caused.
The inventor of the present disclosure finds that the existing smoothing reactor fault detection method has the following disadvantages:
1. dendritic discharge on the surface of the reactor has randomness and is greatly influenced by environmental factors, so that the conventional inspection has poor effect on the defect detection of the reactor;
2. a great deal of research work is mainly based on static analysis, and the trend information of the fault characteristic data changing along with events is not fully utilized.
Disclosure of Invention
The invention provides a smoothing reactor on-line monitoring method and system based on multispectral detection to solve the problems, the disclosure develops novel intelligent detection equipment by combining the advantages of ultraviolet and visible light technologies, 10MHz real-time data sampling, comprehensive real-time analysis and diagnosis and real-time on-line monitoring of a reactor are realized; through monitoring the smoothing reactor in real time, the reactor is found to discharge along the surface in time, fixed point monitoring and historical data filing are realized, then automatic analysis is carried out on detection data, the reactor discharge can be checked in real time, fault early warning is carried out in advance, and the long-term reliable operation of the smoothing reactor is guaranteed.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, the present disclosure provides a smoothing reactor online monitoring method based on multispectral detection, including:
respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology;
obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model;
the establishment of the smoothing reactor on-line monitoring model is obtained through big data technical analysis on the basis of spectral data acquired by combining the solar blind ultraviolet light detection technology and the visible light detection technology, considering the discharge mechanism and considering the corresponding relation between different detected characteristic quantities.
Further, when image information of the smoothing reactor is acquired, multi-view image information acquisition is carried out on the smoothing reactor, the monitoring ranges of the solar blind ultraviolet light and the visible light at each view angle are consistent, and the view angles of the solar blind ultraviolet light and the visible light are calculated respectively.
Furthermore, the solar blind ultraviolet light is filtered, so that the solar blind ultraviolet transmittance reaches 24%, and the out-of-band inhibition value reaches 10 photon numbers/second.
Further, the discharge mechanism refers to the change of each frequency spectrum component of the leakage current along with the development of the corona, and the change of each period of the development of the corona is related to the change of the harmonic component.
Furthermore, the detected corresponding relation between different characteristic quantities means that the electric endurance life of various composite material samples is prolonged at room temperature and 180 ℃ through tests on different types of samples; the relation of the partial discharge initial discharge voltage of various samples along with the temperature change and the influence of different types of samples on the partial discharge initial discharge voltage are obtained.
Further, the establishment of the smoothing reactor on-line monitoring model comprises the steps of carrying out label classification on image information of the smoothing reactor obtained in real time, and then carrying out identification on abnormal modes on data acquired within seconds by taking seconds as a unit; and combining the typical defect characteristics of the smoothing reactor, forming an algorithm for judging abnormal data through a maximum value and an integral summation algorithm, and determining an abnormal data judgment threshold value.
Further, monitoring data is analyzed in real time to obtain an abnormal alarm, partial discharge abnormity of the electrical equipment is obtained through analysis of the high-frequency ultraviolet monitoring data, a visible light monitoring video is intercepted, and the discharge site condition is reserved.
In a second aspect, the present disclosure further provides an online monitoring system for a smoothing reactor based on multispectral detection, comprising a data acquisition module and an online detection module,
the data acquisition module configured to: respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology;
the online detection module configured to: obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model;
the establishment of the smoothing reactor on-line monitoring model is obtained through big data technical analysis on the basis of spectral data acquired by combining the solar blind ultraviolet light detection technology and the visible light detection technology, considering the discharge mechanism and considering the corresponding relation between different detected characteristic quantities.
In a third aspect, the present disclosure further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the online monitoring method for a smoothing reactor based on multispectral detection according to the first aspect.
In a fourth aspect, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the program to implement the steps of the online monitoring method for a smoothing reactor based on multispectral detection according to the first aspect.
Compared with the prior art, the beneficial effect of this disclosure is:
1. the system combines the advantages of ultraviolet and visible light technologies, samples data in real time, comprehensively analyzes and diagnoses in real time, and realizes real-time online monitoring of the reactor; through monitoring the smoothing reactor in real time, the reactor is found to discharge along the surface in time, fixed point monitoring and historical data filing are realized, then automatic analysis is carried out on detection data, the reactor discharge can be checked in real time, fault early warning is carried out in advance, and the long-term reliable operation of the smoothing reactor is guaranteed.
2. In the method, the corresponding relation between the discharge mechanism and the detected different characteristic quantities is considered, the trend information of the fault characteristic data changing along with the event is utilized, and the accuracy of fault prediction is greatly improved.
Drawings
The accompanying drawings, which form a part hereof, are included to provide a further understanding of the present embodiments, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the present embodiments and together with the description serve to explain the present embodiments without unduly limiting the present embodiments.
Fig. 1 is a frame diagram of embodiment 1 of the present disclosure;
fig. 2 is an ac corona leakage current and voltage measurement circuit according to embodiment 1 of the present disclosure;
fig. 3 is a dc corona leakage current and voltage measurement circuit according to embodiment 1 of the present disclosure;
FIG. 4 is a sample structure of example 1 of the present disclosure;
fig. 5 is a schematic diagram of online monitoring of the side surface of a smoothing reactor in embodiment 1 of the present disclosure;
FIG. 6 is a field of view calculation for a multispectral on-line monitoring device according to embodiment 1 of the present disclosure;
fig. 7 is a view angle simulation calculation of embodiment 1 of the present disclosure;
fig. 8 is a solar blind uv filter transmittance curve of example 1 of the present disclosure;
fig. 9 is a schematic diagram of an ultraviolet detection hardware platform of the apparatus in embodiment 1 of the present disclosure.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Example 1:
the embodiment provides a smoothing reactor on-line monitoring method based on multispectral detection, which comprises the following steps:
respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology;
obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model;
the establishment of the smoothing reactor on-line monitoring model is obtained through big data technical analysis on the basis of spectral data acquired by combining the solar blind ultraviolet light detection technology and the visible light detection technology, considering the discharge mechanism and considering the corresponding relation between different detected characteristic quantities.
In this embodiment, the discharge mechanism refers to that, along with the development of the corona, the change condition of each frequency spectrum component of the leakage current links each time of the development of the corona with the change of the harmonic component; the detected corresponding relation among different characteristic quantities means that the electric endurance life of various composite material samples is prolonged at room temperature and 180 ℃ through tests on different types of samples; the relation of the partial discharge initial discharge voltage of various samples along with the temperature change and the influence of different types of samples on the partial discharge initial discharge voltage are obtained. The establishment of the smoothing reactor on-line monitoring model comprises the steps of carrying out label classification on image information of the smoothing reactor obtained in real time, and then carrying out identification on abnormal modes on data acquired in seconds by taking seconds as a unit; and combining the typical defect characteristics of the smoothing reactor, forming an algorithm for judging abnormal data through a maximum value and an integral summation algorithm, and determining an abnormal data judgment threshold value.
In this embodiment, the monitoring data is analyzed in real time to obtain an abnormal alarm, the high-frequency ultraviolet monitoring data is analyzed to obtain the partial discharge abnormality of the electrical equipment, and the visible light monitoring video is intercepted to retain the discharge site condition.
The specific implementation content of this embodiment is as follows:
as shown in fig. 1, in this embodiment, a smoothing reactor state online monitoring and fault early warning system based on multispectral data intelligent analysis is deeply researched, an intelligent analysis technology based on multispectral data is designed, a data time-space domain incidence relation and a factor coupling relation are mined, a wide-area time-space data logic model is established, event detection and time-domain evolution capabilities are improved, and a multispectral big data intelligent analysis system facing power grid equipment state sensing is formed.
Specifically, each data has a time stamp, and in the acquisition process, the data is processed and analyzed according to the time stamp; integrating the acquired data according to a timestamp, and displaying the data in a mode that an abscissa is time and an ordinate is a discharge quantity oscillogram; the waveform plot is then trended over time.
In the embodiment, a three-dimensional spectrum curved surface mode is adopted, the change situation of each spectrum component of leakage current along with the development of corona is recorded, and each period of the development of corona is related to the change of a certain harmonic component.
Specifically, the change relation between each corona development period and a certain harmonic component is determined by a test mode, voltage is applied to the tip of needle plate discharge equipment, test data is recorded along with the rise of the voltage, and the test adopts a method of carrying out cubic spline interpolation on a voltage coordinate and a frequency coordinate so as to obtain more points; cubic spline interpolation is the interpolation of a given data point using a piecewise cubic polynomial. The change in each main frequency divides the corona discharge process into 3 stages: for example, (1) from the beginning, the corona to the occurrence of pulse current, namely 4kV to 7 kV; (2) the amplitude of the pulse current is gradually increased from small to small, namely 7 kV-11 kV; (3) the pulse current is gradually increased from small to large, namely 11kV to 14 kV. The variation of each main frequency component in three stages is: (1) the second harmonic wave rises steadily in amplitude in the first stage, but the speed is slower, the second harmonic wave amplitude is reduced along with the increase of the pulse current amplitude in the second stage, the second harmonic wave amplitude is increased first and then reduced, and the second harmonic wave begins to increase along with the second increase of the pulse current amplitude in the third stage. Therefore, the second harmonic can better reflect the change of the pulse current. (2) The third harmonic wave rises significantly only in the third stage, and its rising law is similar to that of the second harmonic wave. (3) The sixth harmonic only appears in the second phase and diminishes as the second phase ends. (4) The eighth harmonic occurs in the first and second phases and at its boundary, i.e. a sudden drop of the pulse current to very low occurs; the amplitude of the eighth harmonic can be used.
As shown in fig. 2, a basic circuit diagram adopted in this embodiment is shown in fig. 2, where Rp is a hydroelectric group for protecting a transformer winding, Rs is 1 sampling resistor of 2K Ω as a shunt, Osc represents a dual-channel oscilloscope, C1 and C2 are two capacitors, which together form a capacitive voltage divider to measure a voltage waveform, and an effective value thereof is measured by an electrostatic voltmeter; acquiring voltage and current waveforms by the two channels of the oscilloscope; the electrode in fig. 2 is a pin-plate, and the tip-tip partial circuit diagram in the test is consistent with fig. 2; when a dc voltage is required, the circuit diagram is shown in fig. 3.
Wiring according to the wiring shown in fig. 2 and fig. 3, but the two probes are not connected to the phase position of the high-voltage side, applying voltage to the gap breakdown, recording the breakdown voltage, and repeating the three times to obtain an average value; then, the two probes are connected with an oscilloscope, and the maximum voltage is not more than 80% of the breakdown voltage. The phenomenon was observed and the waveform and data were recorded at several different voltages.
The time domain waveforms of the voltage and the leakage current of the needle plate click and the sharp electrode under the alternating current and direct current voltages are utilized to analyze the frequency spectrum of the time domain waveforms, and the frequency spectrum characteristics of the alternating current and direct current corona are summarized.
In this embodiment, a needle plate discharge system is used to perform an electrical thermal aging breakdown test, an electrical aging breakdown test, and a partial discharge initial discharge voltage test on the epoxy resin and glass fiber composite material.
As shown in FIG. 4, the test samples are tested on different types of test samples, namely different included angles between the needle electrodes and the glass fibers, different humidity of the glass fibers and different types of glass fibers, so that the electric endurance life of various composite material test samples at room temperature and 180 ℃ is obtained; obtaining the relation of the partial discharge initial discharge voltage of various samples along with the temperature change, and the influence of different types of samples on the partial discharge initial discharge voltage; performing submicroscopic analysis on a breakdown channel and an interface between the epoxy resin and the glass fiber by using an electron microscope, establishing an analysis model of a needle plate motor in the electrical breakdown performance of the epoxy resin and glass fiber composite material, and analyzing a test result by combining the interface submicroscopic structure in the epoxy resin and glass fiber composite material; through tests, the change rule of the electrical breakdown mechanism and the electrical insulation property of the epoxy resin and glass fiber composite material along with various factors is deeply known, and a foundation is laid for analyzing the surface discharge of the smoothing reactor model.
In this embodiment, a simulation test is performed in a laboratory using a smoothing reactor model, and surface discharge of the smoothing reactor model is detected by using different detection means to obtain a correspondence between different detected characteristic quantities, a detection method for surface discharge of a smoothing reactor suitable for field application and an evaluation index system for a surface insulation state are provided, and the effectiveness of the proposed method for preventing surface dendrite discharge is verified.
In this embodiment, the multispectral device for collecting and utilizing data integrates two detection cameras, namely, a visible light detection camera and an ultraviolet detection camera, into one integrated platform, and is mainly divided into an optical design and a hardware part.
In the optical aspect, a way of parallel one path of ultraviolet and visible light is selected; in the ultraviolet detection module, a solar blind ultraviolet detector is supposed to be a full-day full-blind ultraviolet detector, and sampling is carried out at 10 MHz; the visual angle of the ultraviolet lens can reach 28 degrees multiplied by 15.8 degrees; the performance and the sensitivity are improved by combining the design of the photomultiplier; the ultraviolet module structure comprises an ultraviolet lens, a filter set, a photomultiplier, an electric control module, a network module and the like.
In the embodiment, the visible light adopts a high-definition visible camera, and adopts 200 ten thousand pixels of 1/1.8 inch CMOS; maximum resolution 1920 × 1080; the minimum illumination intensity is 0.001Lux (color mode), the CMOS is internally collected into a video signal to be subjected to preprocessing such as filtering and noise reduction to form a stable video stream, then the stable video stream is compressed into a standard H.264 format according to the requirement, a network video service interface is provided on the software design, and an rtsp protocol is supported so as to process and process the video stream requested by a platform.
In the embodiment, in the aspect of a core processor, hardware system design is integrated, and an operation control platform covers a core processing system and a peripheral signal modulation processing circuit, so that automatic control, algorithm processing, signal processing, data operation transmission and the like are integrated; meanwhile, an ARM platform mature in the industry is adopted to design data processing platform software, the modular design concept is followed, the coupling degree between tasks is reduced, and the task scheduling time is shortened.
In the embodiment, a field of view design of multispectral equipment is developed by taking an extra-high voltage smoothing reactor as an example; as shown in FIG. 5, the smoothing reactor has a diameter of 8.4 meters and a height of 3.6 meters, and the monitoring distance is 18 meters to 30 meters.
In this embodiment, when image information of the smoothing reactor is acquired, multi-view image information acquisition is performed on the smoothing reactor, monitoring ranges of the solar blind ultraviolet light and the visible light at each view angle are consistent, and the view angles of the solar blind ultraviolet light and the visible light are respectively calculated; specifically, the visual fields of the visible light camera and the solar blind ultraviolet camera in each group of monitoring units should be the same, and the monitoring ranges of the visible light camera and the solar blind ultraviolet camera in the same group should be consistent. Therefore, the viewing angles of the visible light camera and the solar blind ultraviolet camera need to be calculated respectively; as shown in fig. 6:
in this embodiment, a 1080P video is used as the visible light camera, the resolution is 1920:1080, and the aspect ratio of the target surface is 16: 9. In order to better register the visible light camera with the ultraviolet camera, the field range of the visible light camera outside 18 meters is set to be 9 meters wide and 5 meters high, and the field angle of the visible light camera outside 18 meters can be calculated through tan-1 trigonometric functions; the field angle is fixed, and the field ranges of the visible light camera at 25 meters and 30 meters can be calculated; the optical camera field angle can be calculated as shown in table 1.
Table 1 can calculate the field angle of the optical camera
In the embodiment, the width-to-height ratio of the target surface of the solar blind ultraviolet detector is 2:1, the field range at 18 meters is determined to be 9 meters wide and 5 meters high, the field angle of the solar blind ultraviolet camera at 18 meters is calculated through tan-1 trigonometric function, the field angle is fixed, and the field ranges of the solar blind ultraviolet camera at 25 meters and 30 meters can be calculated; the solar blind ultraviolet camera field angle calculation is shown in table 2.
TABLE 2 solar blind UV Camera Angle of View calculation
In this embodiment, a design for monitoring the field angle is simulated, the field angle simulation calculation is shown in fig. 7, and the optical path simulation result is shown in table 3.
TABLE 3 light path simulation results
In this embodiment, in order to enable the ultraviolet camera to reach a monitoring distance of 18 meters to 30 meters without reducing the monitoring sensitivity, an ultraviolet lens needs to be added; evaluating the performance of ultraviolet lenses made of different materials in a spectral range of 240 nm-280 nm, and selecting a high-precision ultraviolet lens capable of working at a full aperture and F4.5F being 105 mm; the filtering effects of different ultraviolet filters on visible light and ultraviolet light beyond the wave band of 240 nm-280 nm are comprehensively compared to form a basis which accords with the type selection of the imaging detection equipment.
Specifically, the requirements of the optical filter are that firstly, the wide-band deep cut is required, the band range is 280-780 nm, the highest requirement of the cut-off depth is 13OD @320nm, and secondly, the sharp cut-off requirement is required, and the 1% transmittance is required to be sharply cut off to 13OD in a very narrow spectral range from 280nm to 320 nm.
In the embodiment, based on high-performance crystal doping and ion beam deposition coating technology, the problem that the solar blind filter cannot simultaneously ensure in-band transmittance and out-of-band rejection ratio is solved, and the out-of-band rejection ratio of 10-13(@320nm) is realized while ensuring that the peak transmittance of the solar blind filter (240-280 nm) is more than 22%; specifically, the transmittance of the filter is shown in fig. 8.
In this embodiment, the ultraviolet detector is a core component of the multispectral online monitoring device, and is a key component for converting ultraviolet energy into a digital signal; because the energy required to detect ultraviolet light is weak, the dynamic range of the detector is required to be very high; in the design of the system, the driving capability, the noise reduction of AD acquisition and the like are particularly considered; specific indices are shown in table 3.
Table 4 main technical indices of sunscreening ultraviolet o detector
In this embodiment, the following functions are involved for the smoothing reactor multispectral detection: the system comprises an automatic detection system for partial discharge ultraviolet detection, accurate positioning and fault video interception of a visible light sensor, and big data analysis, processing, storage and analysis.
The hardware architecture is mainly divided into three parts: the device comprises a core processing system, a peripheral signal modulation processing circuit and input and output equipment. The core processing system and the peripheral signal modulation processing circuit together construct an operation control platform of the multispectral online monitoring device, and the operation control platform is used as a core part of a whole platform framework and mainly integrates automatic control, algorithm processing, signal processing, data operation transmission and the like.
In this embodiment, according to the data output frequency of the multispectral online monitoring device, a data packet specification of 512kbit is adopted, 20 times are collected per second, and 1000 ten thousand collected measurement data are stored and analyzed; and determining a calculation method for data sample data aggregation by combining the actually measured partial discharge data characteristics. And the engineering is realized through a software system.
Specifically, the software mainly comprises 5 modules:
an acquisition module: py, reading data from a solar blind high frequency ultraviolet monitoring device (pmt);
the data processing module is timedb _ adapter. py, reads the data generated by the acquisition module, performs conversion processing, and writes the data into a time sequence database;
a test module: pmt _ reorder _ dummy.py, simulating pmt to generate data;
an analog data copying module: the pmt _ data _ clone. py is used for cloning and copying data of one pmt terminal and simulating simultaneous acquisition of multiple terminals;
a starting module: the method is used for starting an acquisition process, a processing process and an analog data copying process, and respectively corresponds to start _ pmt _ reorder.
The main functions are as follows:
data acquisition: the upper computer of the ultraviolet high-frequency acquisition equipment acquires ultraviolet monitoring data in real time through an IP network, and performs conversion processing and storage according to data messages of the lower computer;
data processing: the method comprises the steps of processing collected data, considering both the reservation of mass data characteristics of high-frequency collection and the economy of storage and transmission of sampled data, and realizing real-time processing and sampling of high-frequency sampled data;
lower computer simulation: the data interface of the lower computer can be simulated, the collected data can be generated in batches, and the debugging of other system functions is facilitated.
In the embodiment, after label classification is performed on data acquired in real time, identification of an abnormal mode is performed on the data acquired in seconds by taking seconds as a unit, an algorithm for judging abnormal data is formed by combining typical defect characteristics of a smoothing reactor and algorithms such as maximum value and integral summation, and an abnormal data judgment threshold value is determined.
The system meets the requirements of the application scenes of online intelligent operation and maintenance of electrical equipment and the Internet of things of electric power. And the real-time analysis of mass monitoring data is realized to obtain abnormal alarms. The local discharge abnormity of the electrical equipment can be found by analyzing the high-frequency ultraviolet monitoring data, the visible light monitoring video can be timely intercepted, the discharge field condition can be reserved, and the operation and maintenance personnel can be assisted to timely deal with the abnormity.
Specifically, the software mainly comprises 5 modules:
a database module: the system comprises a real-time database for storing acquired time sequence data, a visual oscilloscope for displaying the real-time data, an alarm judgment service formed according to an abnormal recognition algorithm and the like;
the alarm event information processing module: and receiving the alarm information at the port 8844 by monitoring, and simultaneously intercepting the visible light video according to the alarm information. Corresponding to alert _ list. py, alert _ receiver _ dahua. py;
the monitoring video format conversion module: transcoding the video intercepted by the visible light video; py, corresponding to video _ decoder;
a starting module: two threads start _ alert _ per, py, to start the alarm event information handling service.
The main functions are as follows:
and (3) judging the abnormality: analyzing the collected high-frequency ultraviolet data in real time, and judging abnormity according to a threshold value set by the partial discharge characteristics of the electrical equipment;
and (3) alarm information management: recording detailed abnormal alarm information including information such as position, time, intensity, grade, processing state and the like;
partial discharge image capture: connecting a Dahua scientific and technological visible light monitoring product, and acquiring a monitoring video of an alarm time period;
video transcoding: and transcoding the video acquired by the third-party visible light monitoring product, and converting the video into an MP4 format.
The multispectral on-line monitoring of the smoothing reactor comprises hardware equipment for realizing multispectral monitoring and a software system for collecting, processing and displaying monitoring data, and main technical indexes of software and hardware products are listed respectively as follows:
multispectral monitoring equipment indexes:
wavelength of the ultraviolet detector: 240-260 nm;
ultraviolet photon detection sampling rate: 10 MHz;
visible light sensor, resolution: 200 ten thousand pixels;
visible light acquisition video frame rate: 60 Hz.
A software system:
collecting concurrence number in real time: 8 terminals;
acquisition and processing frequency: no less than 10 samples per second;
monitoring the highest update frequency of the data waveform: 5 seconds;
the highest monitoring frequency of alarm information: 1 second;
the monitoring information display application supports the number of concurrent requests: 20.
example 2:
the embodiment provides a smoothing reactor on-line monitoring system based on multispectral detection, which comprises a data acquisition module and an on-line detection module,
the data acquisition module configured to: respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology;
the online detection module configured to: obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model;
the establishment of the smoothing reactor on-line monitoring model is obtained through big data technical analysis on the basis of spectral data acquired by combining the solar blind ultraviolet light detection technology and the visible light detection technology, considering the discharge mechanism and considering the corresponding relation between different detected characteristic quantities.
Example 3:
the present embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the computer program implements the steps of the online monitoring method for a smoothing reactor based on multispectral detection described in embodiment 1.
Example 4:
the embodiment provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the steps of the online monitoring method for a smoothing reactor based on multispectral detection described in embodiment 1 are implemented.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and those skilled in the art can make various modifications and variations. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present embodiment should be included in the protection scope of the present embodiment.
Claims (10)
1. The smoothing reactor on-line monitoring method based on multispectral detection is characterized by comprising the following steps:
respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology;
obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model;
the establishment of the smoothing reactor on-line monitoring model is obtained through big data technical analysis on the basis of spectral data acquired by combining the solar blind ultraviolet light detection technology and the visible light detection technology, considering the discharge mechanism and considering the corresponding relation between different detected characteristic quantities.
2. The online monitoring method for the smoothing reactor based on the multispectral detection as recited in claim 1, wherein when the image information of the smoothing reactor is acquired, the monitoring ranges of the solar blind ultraviolet light and the visible light are consistent through acquiring the image information of the smoothing reactor at multiple visual angles, and the visual angles of the solar blind ultraviolet light and the visible light are respectively calculated.
3. The smoothing reactor on-line monitoring method based on multispectral detection as recited in claim 1, wherein the solar blind ultraviolet light is filtered, so that the solar blind ultraviolet transmittance reaches 24%, and the out-of-band rejection reaches 10 photon numbers per second.
4. The online smoothing reactor monitoring method based on multispectral detection as recited in claim 1, wherein the discharge mechanism is to link each period of corona development with the change of harmonic component according to the change of each spectral component of leakage current along with the development of corona.
5. The online monitoring method for the smoothing reactor based on multispectral detection as recited in claim 1, wherein the detected corresponding relationship between different characteristic quantities is the electric endurance life of various composite material samples at room temperature and 180 ℃ through tests on different types of samples; the relation of the partial discharge initial discharge voltage of various samples along with the temperature change and the influence of different types of samples on the partial discharge initial discharge voltage are obtained.
6. The online smoothing reactor monitoring method based on multispectral detection as recited in claim 1, wherein the establishment of the online smoothing reactor monitoring model comprises the steps of performing label classification on image information of the smoothing reactor obtained in real time, and then performing abnormal mode identification on data acquired in seconds by taking seconds as a unit; and combining the typical defect characteristics of the smoothing reactor, forming an algorithm for judging abnormal data through a maximum value and an integral summation algorithm, and determining an abnormal data judgment threshold value.
7. The online monitoring method of the smoothing reactor based on the multispectral detection as recited in claim 6, wherein the monitoring data is analyzed in real time to obtain an abnormal alarm, the high-frequency ultraviolet monitoring data is analyzed to obtain the partial discharge abnormality of the electrical equipment, and a visible light monitoring video is intercepted to store the discharge site condition.
8. The smoothing reactor on-line monitoring system based on multispectral detection is characterized by comprising a data acquisition module and an on-line detection module,
the data acquisition module configured to: respectively acquiring image information of the smoothing reactor in real time through a solar blind ultraviolet light detection technology and a visible light detection technology;
the online detection module configured to: obtaining a monitoring result of dendritic discharge on the surface of the smoothing reactor according to the obtained image information and a preset smoothing reactor on-line monitoring model;
the establishment of the smoothing reactor on-line monitoring model is obtained through big data technical analysis on the basis of spectral data acquired by combining the solar blind ultraviolet light detection technology and the visible light detection technology, considering the discharge mechanism and considering the corresponding relation between different detected characteristic quantities.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the online monitoring method for a smoothing reactor based on multispectral detection according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the online monitoring method for a smoothing reactor based on multispectral detection according to any one of claims 1 to 7.
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