CN114166852B - Smoothing reactor online monitoring method and system based on multispectral detection - Google Patents
Smoothing reactor online monitoring method and system based on multispectral detection Download PDFInfo
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Abstract
The disclosure provides a smoothing reactor on-line monitoring method and system based on multispectral detection, comprising the following steps: image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively; 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 method comprises the steps of establishing an online monitoring model of the smoothing reactor, wherein the establishment is based on spectrum data obtained 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, and is obtained through analysis of a big data technology; according to the method, the smoothing reactor is monitored in real time, the surface discharge of the reactor is found in time, fixed-point monitoring and historical data profiling are achieved, then automatic analysis is carried out on detection data, the discharge of the reactor 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 method and a system for online monitoring of a smoothing reactor based on multispectral detection.
Background
The task born by the reactor in the power grid is increasingly important, from the neutral point reactor to reactive compensation equipment, from an AC/DC filter element to a smoothing reactor of an extra-high voltage DC power transmission system, the reactor becomes the main equipment of the power system; in recent years, a fire accident of a reactor fault frequently occurs in power grid operation, and as an effective fault detection method is not available, the reactor fault cannot be timely found and a pre-control measure is adopted, and as the role of the reactor in a power system is more and more important, the problem of the fault detection method of the reactor is very urgent.
The design starting point of the reactor is that the reactor can stably operate outdoors for a long time, but with a large amount of the reactor being put into use, problems are also exposed, wherein the surface dendritic discharge problems are as follows: the surface of the reactor is likely to generate dirt accumulation under long-term outdoor operation conditions, the surface hydrophobic material of the surface is pulverized to cause cracking of the surface of the reactor, when large fog or rainy days are met, a surface dirty layer is wetted, moisture can invade the inside of the encapsulation from the cracking part of the surface to cause the increase of surface leakage current, heat is generated, moisture in a concentrated area of a surface electric field evaporates faster, a dry area is caused in a part area of the surface to cause the change of local surface resistance, so that small local electric arcs are formed, the electric arcs are combined with each other along with the increase of time, and dendritic discharge burnout is formed on the surface; if the dendritic discharge on the surface of the smoothing reactor is further developed, turn-to-turn short circuit among windings of the smoothing reactor is caused, local overheating is caused, and serious operation accidents, even ignition and combustion are caused.
The inventor of the present disclosure found that the existing method for detecting the fault of the smoothing reactor has the following disadvantages:
1. the 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 static analysis, and trend information of fault characteristic data changing along with events is not fully utilized.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for online monitoring of a smoothing reactor based on multispectral detection, and the method and the system for online monitoring of the smoothing reactor based on multispectral detection are used for developing novel intelligent detection equipment by combining the respective advantages of ultraviolet and visible light technologies, and realizing real-time online monitoring of the reactor by 10MHz real-time data sampling and comprehensive real-time analysis and diagnosis; through real-time monitoring of the smoothing reactor, the surface discharge of the reactor is timely found, fixed-point monitoring and historical data profiling are realized, then automatic analysis is carried out on detection data, the discharge of the reactor can be checked in real time, fault early warning is carried out in advance, and long-term reliable operation of the smoothing reactor is ensured.
In order to achieve the above object, the present invention is realized by the following technical scheme:
in a first aspect, the present disclosure provides a method for online monitoring a smoothing reactor based on multispectral detection, including:
image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively;
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 online monitoring model of the smoothing reactor is based on spectrum data obtained by combining a solar blind ultraviolet light detection technology and a visible light detection technology, and on the basis of considering a discharge mechanism and the corresponding relation among different detected characteristic quantities, and is obtained through analysis of a big data technology.
Further, when the image information of the smoothing reactor is acquired, the image information of multiple visual angles is acquired by the smoothing reactor, the monitoring ranges of the solar blind ultraviolet light and the visible light on each visual angle are consistent, and the visual angles of the solar blind ultraviolet light and the visible light are calculated respectively.
Further, 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/s.
Further, the discharge mechanism refers to the change condition of each frequency spectrum component of the leakage current along with the development of corona, and the change of harmonic components is associated with each period of the development of corona.
Further, the corresponding relation between the detected different characteristic quantities means that through tests on different types of samples, the electrical endurance life of various composite material samples is prolonged at room temperature and 180 ℃; and 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.
Further, the establishment of the online monitoring model of the smoothing reactor 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; combining 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 judging threshold value.
Further, the monitoring data are analyzed in real time to obtain an abnormal alarm, the partial discharge abnormality of the electrical equipment is obtained through the analysis of the high-frequency ultraviolet monitoring data, the visible light monitoring video is intercepted, and the situation of the discharge site is reserved.
In a second aspect, the disclosure also provides an online monitoring system of a smoothing reactor based on multispectral detection, which comprises a data acquisition module and an online detection module,
the data acquisition module is configured to: image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively;
the online detection module is 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 online monitoring model of the smoothing reactor is based on spectrum data obtained by combining a solar blind ultraviolet light detection technology and a visible light detection technology, and on the basis of considering a discharge mechanism and the corresponding relation among different detected characteristic quantities, and is obtained through analysis of a big data technology.
In a third aspect, the present disclosure further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the online monitoring method for a smoothing reactor based on multispectral detection of 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 on the memory and executable on the processor, where the steps of the online monitoring method for a smoothing reactor based on multispectral detection of the first aspect are implemented when the processor executes the program.
Compared with the prior art, the beneficial effects of the present disclosure are:
1. the method combines the respective advantages of ultraviolet and visible light technologies, performs real-time data sampling, comprehensively performs real-time analysis and diagnosis, and realizes real-time online monitoring of the reactor; through real-time monitoring of the smoothing reactor, the surface discharge of the reactor is timely found, fixed-point monitoring and historical data profiling are realized, then automatic analysis is carried out on detection data, the discharge of the reactor can be checked in real time, fault early warning is carried out in advance, and long-term reliable operation of the smoothing reactor is ensured.
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 along with the change of the event is utilized, and the accuracy of fault prediction is greatly improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification, illustrate and explain the embodiments and together with the description serve to explain the 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 of embodiment 1 of the present disclosure;
FIG. 3 is a DC corona leakage current and voltage measurement circuit of example 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 a side of a smoothing reactor according to embodiment 1 of the present disclosure;
FIG. 6 is a view field calculation of a multi-spectral on-line monitoring apparatus of 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 graph of transmittance of a solar blind UV filter according to example 1 of the present disclosure;
fig. 9 is a schematic diagram of an ultraviolet detection hardware platform of a device according to embodiment 1 of the disclosure.
The specific embodiment is as follows:
the disclosure is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present application. 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 an online monitoring method of a smoothing reactor based on multispectral detection, which comprises the following steps:
image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively;
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 online monitoring model of the smoothing reactor is based on spectrum data obtained by combining a solar blind ultraviolet light detection technology and a visible light detection technology, and on the basis of considering a discharge mechanism and the corresponding relation among different detected characteristic quantities, and is obtained through analysis of a big data technology.
In this embodiment, the discharge mechanism refers to the change condition of each frequency spectrum component of the leakage current along with the development of corona, and links each period of the development of corona with the change of harmonic component; the corresponding relation between the detected different characteristic quantities means that through tests on different types of samples, the electrical endurance life of various composite material samples is prolonged at room temperature and 180 ℃; and 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. The establishment of the online monitoring model of the smoothing reactor comprises the steps of classifying labels of image information of the smoothing reactor obtained in real time, and identifying abnormal modes of data acquired in seconds by taking seconds as a unit; combining 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 judging threshold value.
In the embodiment, the monitoring data are analyzed in real time to obtain an abnormal alarm, the analysis of the high-frequency ultraviolet monitoring data is used to obtain the partial discharge abnormality of the electrical equipment, the visible light monitoring video is intercepted, and the situation of the discharge site is reserved.
The specific implementation content of the embodiment is as follows:
as shown in fig. 1, in this embodiment, an online monitoring and fault early warning system for the state of a smoothing reactor based on intelligent analysis of multispectral data is further studied, an intelligent analysis technology based on multispectral data is designed, a time-space domain association relationship and a factor coupling relationship of data are mined, a wide-area space-time data logic model is established, event detection and time domain evolution capability are improved, and an intelligent multispectral big data analysis system oriented to state perception of power grid equipment 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 the time stamp, and displaying the acquired data in a mode that the abscissa is taken as time and the ordinate is taken as a discharge quantity oscillogram; the waveform diagram is then trended over time.
In this embodiment, a three-dimensional spectrum curved surface mode is adopted, the change condition of each spectrum component of the 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 period of corona development and a certain harmonic component is determined in a test mode, voltage is applied to the tip of needle plate discharge equipment, test data are recorded along with the rise of the voltage, and the test adopts a method of performing spline interpolation for three times on voltage coordinates and frequency coordinates so as to obtain more points; cubic spline interpolation is the interpolation of a given data point using a piecewise cubic polynomial. The variation of the respective main frequencies divides the corona discharge process into 3 phases: for example, (1) pulse current, i.e., 4kV to 7kV, appears from the beginning of corona; (2) The pulse current amplitude gradually increases from small to small, namely 7kV to 11kV; and (3) the pulse current is gradually increased from small to large, namely 11kV to 14kV. The variation of each primary frequency component in three phases is: (1) The amplitude of the second harmonic steadily rises in the first stage, but the speed is slower, the amplitude of the second harmonic also increases and then decreases along with the increase of the amplitude of the pulse current in the second stage, and the second harmonic also starts to increase along with the increase of the amplitude of the pulse current in the third stage. The second harmonic can thus better reflect the change in pulse current. (2) The third harmonic only increases obviously in the third stage, and the rising rule is similar to that of the second harmonic. (3) The sixth harmonic occurs only in the second phase and decays with the end of the second phase. (4) The eighth harmonic appears in the first and second stages and at its boundary, i.e. the pulse current suddenly drops to very low; the amplitude of the eighth harmonic can be used.
As shown in fig. 2, the basic circuit diagram adopted in the embodiment is shown in fig. 2, wherein Rp is a hydropower group for protecting a transformer winding, rs is 1 sampling resistor of 2kΩ 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 the effective value is measured by an electrostatic voltmeter; acquiring voltage and current waveforms by an oscilloscope in a double-channel manner; the electrode in fig. 2 is a needle-plate, and the tip-tip partial circuit diagram in the test is identical to that in fig. 2; when a direct voltage is required, the circuit diagram is shown in fig. 3.
According to the wiring shown in fig. 2 and 3, but two probes are not connected to the high voltage side phase position, voltage is applied to the gap breakdown, breakdown voltage is recorded, and the average value is obtained by repeating three times; then connect the two probes with the oscilloscope, the pressurization is not more than 80% of the breakdown voltage at maximum. The phenomenon was observed and waveforms and data were recorded at several different voltages.
The frequency spectrum of the time domain waveform of the voltage and leakage current of the needle plate clicking and the sharp electrode under the alternating current and direct current voltage is analyzed, and the frequency spectrum characteristics of alternating current and direct current corona are summarized.
In the embodiment, a needle plate discharge system is adopted to perform an electric heating aging breakdown test, an electric aging breakdown test and a partial discharge initial discharge voltage test on the epoxy resin and glass fiber composite material.
The test samples are shown in fig. 4, and the electrical life of various composite material samples at room temperature and 180 ℃ is obtained by testing different types of samples, namely, different included angles between the needle electrode and the glass fiber, different humidity of the glass fiber and different types of glass fiber; 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 sub-microscopic analysis on a breakdown channel of a test, an interface between epoxy resin and glass fiber by using an electron microscope, establishing an analysis model of a needle plate motor in the electric breakdown performance of the epoxy resin and glass fiber composite material, and performing analysis on a test result by combining the sub-microscopic structure of the interface in the epoxy resin and glass fiber composite material; through experiments, the electric breakdown mechanism and the electric insulation property of the epoxy resin and glass fiber composite material are deeply recognized along with the change rule of various factors, 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 by using a smoothing reactor model, and meanwhile, surface discharge of the smoothing reactor model is detected by using different detection means, so as to obtain corresponding relations among different detected characteristic quantities, a detection method of the smoothing reactor surface discharge suitable for field application and an evaluation index system of a surface insulation state are provided, and effectiveness of the provided method for preventing surface dendrite discharge is verified.
In this embodiment, the multispectral device for collecting data is integrated with two visible light and ultraviolet detection cameras on an integrated platform, and is mainly divided into an optical design and a hardware part.
Specifically, in the optical aspect, a mode of ultraviolet light and visible light in parallel is adopted; in the ultraviolet detection module, a solar blind ultraviolet detector is selected from a full-solar full-blind ultraviolet detector, and 10MHz is used for sampling; the visual angle of the ultraviolet lens can reach 28 degrees multiplied by 15.8 degrees; the design of the photomultiplier is combined to improve the performance and the sensitivity; the ultraviolet module structure consists of an ultraviolet lens, an optical filter set, a photomultiplier, an electric control module, a network module and the like.
In the embodiment, a high definition visible camera is adopted as visible light, and 200 ten thousand pixels of 1/1.8 inch CMOS is adopted; maximum resolution 1920×1080; the minimum illumination is 0.001Lux (color mode), a stable video stream is formed after the CMOS is subjected to preprocessing such as filtering noise reduction and the like on the video signals collected by the CMOS, then the video streams are compressed into a standard H.264 format according to requirements, a network video service interface is provided on a software design, and an rtsp protocol is supported so that a processing platform can request the video streams and process the video streams.
In the embodiment, in terms of a core processor, an intensive hardware system is designed, 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 acted on the whole; meanwhile, an ARM platform mature in the industry is adopted for data processing platform software design, a modularized design concept is followed, the coupling degree between tasks is reduced, and task scheduling time is shortened.
In the embodiment, the ultra-high voltage reactor is taken as an example to develop the field-of-view design of the multispectral equipment; 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 the embodiment, when the image information of the smoothing reactor is acquired, the image information of multiple views is acquired by the smoothing reactor, and the monitoring ranges of solar blind ultraviolet light and visible light on each view angle are consistent, and the view angles of the solar blind ultraviolet light and the visible light are calculated respectively; specifically, the fields of view of the visible light camera and the solar blind ultraviolet camera in each group of monitoring units are the same, and the monitoring ranges of the same group of visible light camera and the solar blind ultraviolet camera are consistent. Therefore, the view 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, the visual camera uses 1080P video, the resolution is 1920:1080, and the target aspect ratio is 16:9. In order to better register the visible light camera with the ultraviolet camera, the visual field range of the visible light camera at the position outside 18 meters is set to be 9 meters wide and 5 meters high, and the visual field angle of the visible light camera at the position outside 18 meters can be calculated through the tan-1 trigonometric function; the visual field angle is fixed, and the visual field range of the visible light camera at the positions of 25 meters and 30 meters can be calculated; the light camera field angle calculations may be as shown in table 1.
Table 1 can calculate the angle of view of an optical camera
In the embodiment, the aspect ratio of the target surface of the solar blind ultraviolet detector is 2:1, the view field range at the position of 18 meters is set to be 9 meters wide and 5 meters high, the view field angle of the solar blind ultraviolet camera at the position of 18 meters is calculated through the tan-1 trigonometric function, and the view field angle is fixed, so that the view field range of the solar blind ultraviolet camera at the positions of 25 meters and 30 meters can be calculated; the solar blind ultraviolet camera view angle calculations are shown in table 2.
Table 2 solar blind UV camera field angle calculation
In this embodiment, the design of the monitoring angle of view is simulated, the simulation calculation of the angle of view is shown in fig. 7, and the simulation result of the optical path is shown in table 3.
TABLE 3 simulation results of light path
In this embodiment, in order to make the ultraviolet camera reach a monitoring distance of 18 to 30 meters without weakening the monitoring sensitivity, an ultraviolet lens needs to be added; evaluating the performances of ultraviolet lenses made of different materials in a spectral range of 240-280 nm, and selecting a high-precision ultraviolet lens capable of working at a full aperture and with F4.5f=105mm; the filtering effects of different ultraviolet light filters on visible light and ultraviolet light outside the wave band of 240 nm-280 nm are comprehensively compared, and the basis conforming to the model selection of imaging detection equipment is formed.
Specifically, the requirements of the optical filter are firstly a wide-spectrum deep cut-off requirement, a spectrum range is 280-780 nm, the highest cut-off depth requirement reaches 13OD@320nm, and secondly a sharp cut-off requirement, and the sharp cut-off from 1% transmittance to 13OD is required in a very narrow spectrum range from 280nm to 320 nm.
In the embodiment, the problems that solar blind filters cannot ensure in-band transmittance and out-of-band rejection ratio simultaneously are solved based on high-performance crystal doping and ion beam deposition coating technology, and the out-of-band rejection ratio of 10 < -13 > (@ 320 nm) is realized while the peak transmittance of solar blinds (240-280 nm) is ensured to be more than 22%; specifically, the transmittance of the filter is shown in fig. 8.
In the 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 very high; the driving capability, the noise reduction of AD acquisition and the like are particularly considered in the design of the system; specific indexes are shown in table 3.
Table 4 main technical index of the UV-A detector for the day blind
In the present embodiment, the following functions are involved for the smoothing reactor multispectral detection: and the automatic detection system is used for partial discharge ultraviolet detection, accurate positioning of a visible light sensor, fault video interception, 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 an input/output device. The core processing system and the peripheral signal modulation processing circuit together construct an operation control platform of the multispectral on-line monitoring device, and the operation control platform is used as a core part of the whole platform framework and mainly acts on the integration of automatic control, algorithm processing, signal processing, data operation transmission and the like.
In the embodiment, according to the data output frequency of the multispectral online monitoring device, adopting the data packet specification of 512kbit, collecting 20 times per second, and storing and analyzing 1000 tens of thousands of collected measurement data; and determining a calculation method of data aggregation of the data samples by combining the characteristics of the actually measured partial discharge data. And engineering is realized through a software system.
Specifically, the software mainly includes 5 modules:
and the acquisition module is used for: pmt_recorder.py, reading data from a solar blind high frequency ultraviolet monitoring device (pmt);
the data processing module is used for reading the data generated by the acquisition module, converting the data and writing the converted data into a time sequence database;
and a testing module: pmt_receiver_dummy.py, simulating pmt generated data;
analog data replication module: the data of one pmt terminal is cloned and copied, and simultaneous acquisition of multiple terminals is simulated;
and a starting module: the system is used for starting an acquisition process, a processing process and an analog data copying process, and corresponds to the start_pmt_recorder. Py, the start_timedb_adapter. Py and the start_data_clone. Py respectively.
The main functions are as follows:
and (3) data acquisition: the upper computer of the ultraviolet high-frequency acquisition equipment is used for acquiring ultraviolet monitoring data in real time through an IP network, and converting and storing the ultraviolet monitoring data according to a data message of the lower computer;
and (3) data processing: processing the acquired data, and realizing real-time processing and sampling of high-frequency sampling data on the basis of both the reservation of the characteristics of mass data acquired at high frequency and the economical efficiency of storage and transmission of the sampling data;
and (3) simulating by a lower computer: the data interface of the lower computer can be simulated, and the collected data can be generated in batches, so that the function debugging of other systems is facilitated.
In this embodiment, after the data collected in real time is classified, the data collected in seconds is identified in an abnormal mode, and by combining typical defect characteristics of the smoothing reactor, an algorithm for distinguishing abnormal data is formed by means of algorithms such as maximum value, integral summation and the like, and an abnormal data judgment threshold is determined.
The method is used for meeting the requirements of the application scene of the electric equipment on-line intelligent operation and maintenance and the electric Internet of things. And the real-time analysis of mass monitoring data is realized to obtain an abnormal alarm. The analysis of the high-frequency ultraviolet monitoring data can be used for finding out the partial discharge abnormality of the electrical equipment, intercepting the condition of the visible light monitoring video retention and discharge site in time and assisting operation and maintenance personnel in handling the abnormality in time.
Specifically, the software mainly includes 5 modules:
a database module: the system comprises a real-time database for storing the acquired time sequence data, a visual oscilloscope for displaying the real-time data, an alarm judging service formed according to an anomaly identification algorithm and the like;
alarm event information processing module: and monitoring to receive the alarm information at a 8844 port, and meanwhile, intercepting the visible light video according to the alarm information. Corresponding alert_Listener. Py, alert_Dealer_dahua. Py;
monitoring video format conversion module: transcoding the video after intercepting the visible light video; corresponding video_decoder. Py;
and a starting module: two threads, start_alert scaler. Py, used to start the alert event information processing service.
The main functions are as follows:
abnormality judgment: analyzing the collected high-frequency ultraviolet data in real time, and judging abnormality according to a threshold value set by the partial discharge characteristics of the electrical equipment;
and (3) alarm information management: recording detailed information of abnormal alarms, including information such as position, time, intensity, grade, processing state and the like;
partial discharge image capture: the method comprises the steps of docking a visible light monitoring product of the Dahua technology, and obtaining a monitoring video of an alarm period;
video transcoding: and transcoding the video acquired by the third visible light monitoring product into an MP4 format.
The 'smoothing reactor multispectral on-line monitoring' comprises hardware equipment for realizing multispectral monitoring and a software system for monitoring data acquisition, processing and displaying, and main technical indexes of software and hardware products are listed below respectively:
multispectral monitoring device index:
ultraviolet detector wavelength: 240-260 nm;
ultraviolet photon detection sampling rate: 10MHz;
visible light sensor, resolution: 200 ten thousand pixels;
visible light acquisition video frame rate: 60Hz.
Software system:
real-time acquisition of concurrency: 8 terminals;
acquisition processing frequency: not less than 10 samples per second;
monitoring the highest update frequency of the data waveform: 5 seconds;
highest monitoring frequency of alarm information: 1 second;
monitoring information presentation application supports concurrent request number: 20.
example 2:
the embodiment provides an online monitoring system of a smoothing reactor based on multispectral detection, which comprises a data acquisition module and an online detection module,
the data acquisition module is configured to: image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively;
the online detection module is 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 online monitoring model of the smoothing reactor is based on spectrum data obtained by combining a solar blind ultraviolet light detection technology and a visible light detection technology, and on the basis of considering a discharge mechanism and the corresponding relation among different detected characteristic quantities, and is obtained through analysis of a big data technology.
Example 3:
the present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for online monitoring of a smoothing reactor based on multispectral detection described in embodiment 1.
Example 4:
the embodiment provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the steps of the online monitoring method of the smoothing reactor based on multispectral detection described in the embodiment 1 are realized when the processor executes the program.
The above description is only a preferred embodiment of the present embodiment, and is not intended to limit the present embodiment, and various modifications and variations can be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present embodiment should be included in the protection scope of the present embodiment.
Claims (7)
1. The online monitoring method of the smoothing reactor based on multispectral detection is characterized by comprising the following steps of:
image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively;
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 method comprises the steps of establishing an online monitoring model of the smoothing reactor, wherein the establishment is based on spectrum data obtained 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, and is obtained through analysis of a big data technology;
the specific process for acquiring the spectrum data comprises the following steps: each data has a time stamp, and in the acquisition process, the data are processed and analyzed according to the time stamp; integrating the acquired data according to the time stamp, displaying the acquired data in a mode of taking the abscissa as time and the ordinate as a discharge quantity oscillogram, and carrying out trend analysis on the oscillogram according to the time;
the discharge mechanism is specifically as follows: a three-dimensional spectrum curved surface is adopted to record the change condition of each spectrum component of the leakage current along with the development of corona, and each period of the development of corona is related to the change of a certain harmonic component; in the process, the frequency spectrum of the time domain waveforms of the voltage and the leakage current of the needle plate electrode and the sharp electrode under the alternating current and the direct current voltage is analyzed, and the frequency spectrum characteristics of alternating current and direct current corona are summarized;
the corresponding relation between the different detected characteristic quantities is specifically as follows: adopting a needle plate discharge system to perform an electric heating aging breakdown test, an electric heating aging breakdown test and a partial discharge initial discharge voltage test on the epoxy resin and glass fiber composite material to obtain the electric resistance life of a composite material sample, the relation of the partial discharge voltage of the sample along with the temperature change and the influence of the sample on the partial discharge initial discharge voltage;
the specific method for establishing the online monitoring model of the smoothing reactor comprises the following steps: after the label classification is carried out on the data collected in real time, the identification of the abnormal mode is carried out on the data collected in seconds by taking seconds as a unit, and an algorithm for judging the abnormal data is formed by combining typical defect characteristics of the smoothing reactor and by means of a maximum value and integral summation algorithm, and an abnormal data judgment threshold value is determined.
2. The online monitoring method of the smoothing reactor based on multispectral detection as claimed in claim 1, wherein when the image information of the smoothing reactor is acquired, the image information of multiple views is acquired by the smoothing reactor, and the monitoring ranges of solar blind ultraviolet light and visible light on each view angle are consistent, so that the view angles of the solar blind ultraviolet light and the visible light are calculated respectively.
3. The online monitoring method of the smoothing reactor based on multispectral detection of claim 1, wherein solar blind ultraviolet light is filtered to ensure that the solar blind ultraviolet transmittance reaches 24%, and the out-of-band inhibition value reaches 10 photon/s.
4. The online monitoring method of the smoothing reactor based on multispectral detection of claim 1, wherein the monitoring data are analyzed in real time to obtain an abnormal alarm, the analysis of the high-frequency ultraviolet monitoring data is used for obtaining the partial discharge abnormality of the electrical equipment, the visible light monitoring video is intercepted, and the situation of the discharge site is reserved.
5. The online monitoring system of the smoothing reactor based on multispectral detection is characterized by comprising a data acquisition module and an online detection module,
the data acquisition module is configured to: image information of the smoothing reactor is obtained in real time through a solar blind ultraviolet light detection technology and a visible light detection technology respectively;
the online detection module is 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 method comprises the steps of establishing an online monitoring model of the smoothing reactor, wherein the establishment is based on spectrum data obtained 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, and is obtained through analysis of a big data technology;
the specific process for acquiring the spectrum data comprises the following steps: each data has a time stamp, and in the acquisition process, the data are processed and analyzed according to the time stamp; integrating the acquired data according to the time stamp, displaying the acquired data in a mode of taking the abscissa as time and the ordinate as a discharge quantity oscillogram, and carrying out trend analysis on the oscillogram according to the time;
the discharge mechanism is specifically as follows: a three-dimensional spectrum curved surface is adopted to record the change condition of each spectrum component of the leakage current along with the development of corona, and each period of the development of corona is related to the change of a certain harmonic component; in the process, the frequency spectrum of the time domain waveforms of the voltage and the leakage current of the needle plate electrode and the sharp electrode under the alternating current and the direct current voltage is analyzed, and the frequency spectrum characteristics of alternating current and direct current corona are summarized;
the corresponding relation between the different detected characteristic quantities is specifically as follows: adopting a needle plate discharge system to perform an electric heating aging breakdown test, an electric heating aging breakdown test and a partial discharge initial discharge voltage test on the epoxy resin and glass fiber composite material to obtain the electric resistance life of a composite material sample, the relation of the partial discharge voltage of the sample along with the temperature change and the influence of the sample on the partial discharge initial discharge voltage;
the specific method for establishing the online monitoring model of the smoothing reactor comprises the following steps: after the label classification is carried out on the data collected in real time, the identification of the abnormal mode is carried out on the data collected in seconds by taking seconds as a unit, and an algorithm for judging the abnormal data is formed by combining typical defect characteristics of the smoothing reactor and by means of a maximum value and integral summation algorithm, and an abnormal data judgment threshold value is determined.
6. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method for online monitoring of a smoothing reactor based on multispectral detection as claimed in any one of claims 1-4.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for online monitoring of a smoothing reactor based on multispectral detection as claimed in any one of claims 1-4 when the program is executed by the processor.
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