WO2021082593A1

WO2021082593A1 - Pollution classification method, apparatus and device, medium, and data obtaining system

Info

Publication number: WO2021082593A1
Application number: PCT/CN2020/107541
Authority: WO
Inventors: 张福增; 王婷婷; 徐永生; 陈少杰; 廖一帆; 肖微; 曾向君; 卢威
Original assignee: 南方电网科学研究院有限责任公司; 中国南方电网有限责任公司
Priority date: 2019-10-31
Filing date: 2020-08-06
Publication date: 2021-05-06
Also published as: CN110826615A

Abstract

A pollution classification method, comprising: obtaining spectral data of pollution to be detected on the surface of an insulator; normalizing the spectral data to obtain full spectral data; performing clustering analysis on the full-spectrum data according to a preset principal component analysis method model to obtain a pollution score graph; and determining a pollution type of said pollution on the surface of the insulator according to the pollution score graph, wherein the pollution types comprise algae pollution and common pollution. Also provided are a pollution classification apparatus and device, a medium, and a data obtaining system. By means of multiple embodiments, the problem in the prior art that the pollution type of the pollution on the surface of the insulator cannot be accurately distinguished is solved.

Description

Pollution classification method, device, equipment, medium and data acquisition system

Technical field

The present invention relates to the technical field of insulator contamination classification, in particular to a contamination classification method, device, equipment, medium and data acquisition system.

Background technique

In the transmission line, insulators play a dual role of mechanical connection and electrical insulation between the wire and the tower. There are mainly suspension insulators, tensile insulators, and cross-arm insulators. In substations or converter stations, insulators are used for insulation or mechanical fixing between conductors and grounding bodies. During operation, the insulator is affected by emissions from factories, transportation, agriculture, mines and life, as well as natural dust falling, etc., so some contaminants will accumulate on the surface of the insulator during the working process. In a humid environment, if the surface of the insulator is polluted by algae, a pollution flashover discharge may occur, leading to a pollution flashover accident.

The current method of identifying the contamination on the surface of the insulator is to use the image detection method. During the measurement process, the image of the insulator is taken first, and then a series of processing is performed on the image of the insulator to analyze the distribution of algae contamination. However, due to differences in the growth status of algae, the distribution of algae, and the thickness of the algae contamination accumulation, etc., will affect the color of the algae, the image analysis results have great errors, and it is impossible to accurately distinguish the type of contamination on the surface of the insulator.

Summary of the invention

The embodiments of the present invention provide a pollution classification method, device, equipment, medium, and data acquisition system, which can effectively solve the problem that the prior art cannot accurately distinguish the pollution type of the insulator surface.

An embodiment of the present invention provides a pollution classification method, including:

Obtain the spectrum data of the contamination to be measured on the surface of the insulator;

Normalizing the spectrum data to obtain full spectrum data;

Perform cluster analysis on the full spectrum data according to a preset principal component analysis model to obtain a pollution score map; wherein, the pollution score map includes: a first pollution score map and a second pollution score map;

According to the pollution score map, determine the pollution type of the to-be-tested pollution on the surface of the insulator; wherein, the pollution type includes: algae pollution and ordinary pollution.

As an improvement of the above solution, the judging the pollution type of the to-be-tested pollution on the surface of the insulator according to the pollution score map specifically includes:

If the score of the first pollution score map is less than 5000 and the score of the second pollution score map is greater than 0, then the pollution type of the pollution to be tested is algae pollution;

If the score of the first pollution score map is less than 5000 and the score of the second pollution score map is less than 0, the pollution type of the pollution to be tested is ordinary pollution.

As an improvement of the above solution, after obtaining the spectrum data of the contamination to be measured on the surface of the insulator, before normalizing the spectrum data to obtain the full spectrum data, the method further includes:

Remove the interference of the background spectrum in the spectrum data.

As an improvement of the above solution, the wavelength range of the spectrum data is from 195.825 nm to 641.167 nm.

Another embodiment of the present invention correspondingly provides a spectral data acquisition system, which is used to acquire the number of spectra of the pollution to be measured in the pollution classification method;

The spectral data acquisition system includes: a sample box, a laser, a reflector for reflecting the laser signal of the laser, and a reflector for receiving the signal reflected by the reflector, refracting the signal and emitting it to the sample The convex lens of the box, the collimator for receiving the spectrum signal of the contamination to be measured in the sample box, the spectrometer, the calculator for receiving the spectrum signal of the spectrometer, and the control for controlling the laser and the spectrometer Device

The controller is respectively connected to the control end of the laser and the control end of the spectrometer, the input end of the spectrometer is connected to the collimator, and the output end of the spectrometer is connected to the calculator;

The laser is facing the center of the reflector, the reflector is inclined at a preset angle, a sample box is arranged along the main optical axis of the convex lens, and the collimator is arranged 45 degrees above the sample box. Wherein, the signal reflected by the reflector is incident from the optical center of the convex lens.

Another embodiment of the present invention correspondingly provides a pollution classification device, including:

The acquisition module is used to acquire the spectrum data of the contamination to be measured on the surface of the insulator;

A processing module for normalizing the spectrum data to obtain full spectrum data;

The analysis module is used to perform cluster analysis on the full-spectrum data according to a preset principal component analysis model to obtain a pollution score map; wherein, the pollution score map includes: a first pollution score map and a second pollution score map ；

The classification module is used for judging the pollution type of the pollution to be tested on the surface of the insulator according to the pollution score map; wherein, the pollution type includes: algae pollution and ordinary pollution.

As an improvement of the above solution, the device further includes:

The preprocessing module is used to remove the interference of the background spectrum in the spectrum data.

Another embodiment of the present invention provides a filthy classification terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor executes the computer program When realizing the pollution classification method described in the above-mentioned embodiments of the invention.

Another embodiment of the present invention provides a storage medium, the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device on which the computer-readable storage medium is located is controlled to execute the above-mentioned embodiments of the invention. The classification method of the filth.

Compared with the prior art, the pollution classification method, device, equipment and medium disclosed in the embodiments of the present invention obtain full spectrum data by obtaining the spectrum data of the contamination to be measured on the surface of the insulator, and then normalizing the spectrum data. Perform cluster analysis on the full-spectrum data according to the preset principal component analysis model to obtain the pollution score map, and then judge the pollution type of the insulator surface to be tested according to the pollution score map, so as to accurately distinguish the pollution of the insulator surface. The pollution type problem avoids the pollution flashover discharge caused by the damp and pollution of the transmission line insulator, and improves the reliability and safety of the transmission line.

Description of the drawings

FIG. 1 is a schematic flowchart of a method for classifying pollution according to an embodiment of the present invention;

2 is a schematic diagram of a waveform of normalization processing provided by an embodiment of the present invention;

3 is a schematic structural diagram of a system for acquiring spectral data according to an embodiment of the present invention;

4 is a schematic structural diagram of a pollution classification device provided by an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a dirty classification device provided by an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

Refer to Fig. 1, which is a schematic flowchart of a pollution classification method according to an embodiment of the present invention.

A pollution classification method provided by an embodiment of the present invention includes:

S10: Obtain the spectrum data of the contamination to be measured on the surface of the insulator.

In this embodiment, the spectral data is acquired by the spectral data acquisition system. There are 12312 data points obtained, and the spectrum data of the wavelength range from 195.825nm to 641.167nm

S20: Perform normalization processing on the spectrum data to obtain full spectrum data.

Specifically, referring to Fig. 2, the normalized full-spectrum data is used as the input matrix of the preset principal component analysis model.

S30: Perform cluster analysis on the full-spectrum data according to a preset principal component analysis model to obtain a pollution score map; wherein the pollution score map includes: a first pollution score map and a second pollution score map.

Among them, the principal component analysis method is a numerical dimensionality reduction method. Variables are mapped to a low-dimensional coordinate system through space to reduce the linear correlation between the variables, so that the input objects can be clustered through the principal component analysis model.

Specifically, the preset principal component analysis model can be obtained by inputting the full-spectrum data into the component analysis formula.

S40: Judging the pollution type of the to-be-tested pollution on the surface of the insulator according to the pollution score map; wherein, the pollution type includes: algae pollution and ordinary pollution.

Specifically, if the score of the first pollution score map is less than 5000 and the score of the second pollution score map is greater than 0, the pollution type of the pollution to be tested is algae pollution;

In summary, by obtaining the spectrum data of the contamination to be measured on the surface of the insulator, normalizing the spectrum data to obtain the full spectrum data, and then clustering the full spectrum data according to the preset principal component analysis model, thereby Obtain the pollution score map, and then judge the pollution type of the tested pollution on the surface of the insulator based on the pollution score map, so as to accurately distinguish the pollution type of the tested pollution on the surface of the insulator, and avoid the pollution flash discharge caused by the damp pollution of the transmission line insulator. Improve the reliability and safety of transmission lines.

Remove the interference of the background spectrum in the spectrum data.

In this embodiment, the background spectrum is obtained before the experiment, and the mat ab software is used to remove the interference of the background spectrum.

Refer to FIG. 3, which is a schematic structural diagram of a system for acquiring spectral data according to an embodiment of the present invention.

An embodiment of the present invention correspondingly provides a spectral data acquisition system for acquiring the number of spectra of the pollution to be measured in the pollution classification method;

The controller is connected to the control end of the laser and the control end of the spectrometer respectively, the input end of the spectrometer is connected to the collimator, and the output end of the spectrometer is connected to the calculator. In this embodiment, the input end of the spectrometer is connected to the collimator through an optical fiber.

The laser is facing the center of the reflector, the reflector is inclined at a preset angle, a sample box is arranged along the main optical axis of the convex lens, and the collimator is arranged 45 degrees above the sample box. Wherein, the signal reflected by the reflector is incident from the optical center of the convex lens. Wherein, the reflector is inclined at a preset angle of 45 degrees.

Specifically, using laser-induced breakdown spectroscopy technology, by generating laser pulses with extremely high power density, plasma is induced on the surface of the contaminated insulator, and the plasma is collected by the collimator using an optical fiber to obtain spectral information, which will be obtained by the spectrometer. The spectrum information is sent to the calculator.

Refer to FIG. 4, which is a schematic structural diagram of a pollution classification device provided by an embodiment of the present invention.

An embodiment of the present invention correspondingly provides a pollution classification device, including:

The obtaining module 10 is used to obtain the spectrum data of the contamination to be measured on the surface of the insulator.

The processing module 20 is used for normalizing the spectrum data to obtain full spectrum data.

The analysis module 30 is configured to perform cluster analysis on the full-spectrum data according to a preset principal component analysis model to obtain a pollution score map; wherein, the pollution score map includes: a first pollution score map and a second pollution score map Figure.

The classification module 40 is used for judging the pollution type of the pollution to be tested on the surface of the insulator according to the pollution score map; wherein, the pollution type includes: algae pollution and ordinary pollution.

As an improvement of the above solution, the device further includes:

The embodiment of the present invention provides a pollution classification device, which obtains the spectrum data of the pollution to be measured on the surface of the insulator, normalizes the spectrum data to obtain the full spectrum data, and then compares the full spectrum data according to a preset principal component analysis model. The data is clustered and analyzed to obtain a pollution score map, and then determine the type of pollution to be tested on the surface of the insulator based on the pollution score map, so as to accurately distinguish the type of pollution to be tested on the surface of the insulator, and avoid the transmission line insulator from being damp Pollution flashover caused by pollution improves the reliability and safety of transmission lines.

Refer to Fig. 5, which is a schematic diagram of a dirty classification device provided by an embodiment of the present invention. The dirty classification device of this embodiment includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps in the above-mentioned various pollution classification method embodiments are implemented. Or, when the processor executes the computer program, the function of each module/unit in the foregoing device embodiments is realized.

Exemplarily, the computer program may be divided into one or more modules/units, and the one or more modules/units are stored in the memory and executed by the processor to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the dirty classification device.

The dirty classification device may be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers. The dirty classification equipment may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of dirty classification equipment, and does not constitute a limitation on the ** device/terminal device. It may include more or less components than shown in the figure, or a combination of certain components , Or different components, for example, the dirty classification device may also include input and output devices, network access devices, buses, and so on.

The so-called processor can be a central processing unit (Central Processing Unit, CPU), other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The processor is the control center of the dirty classification equipment, and various interfaces and lines are used to connect the entire dirty classification equipment. Various parts.

The memory may be used to store the computer program and/or module, and the processor can realize the pollution by running or executing the computer program and/or module stored in the memory and calling data stored in the memory. The various functions of the classification device. The memory may mainly include a storage program area and a storage data area. The storage program area may store an operating system, an application program required by at least one function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may store Data created based on the use of mobile phones (such as audio data, phone book, etc.), etc. In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, memory, plug-in hard disks, smart media cards (SMC), and secure digital (SD) cards. , Flash Card, at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

Wherein, if the integrated module/unit of the dirty classification device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiments and methods, and can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, it can implement the steps of the foregoing method embodiments. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file, or some intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media, etc.

It should be noted that the device embodiments described above are only illustrative, and the units described as separate parts may or may not be physically separated, and the parts displayed as units may or may not be physically separate. Units can be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments. In addition, in the drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that they have a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without creative work.

The above are the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications are also considered This is the protection scope of the present invention.

Claims

A classification method of filth, which is characterized in that it includes:

Obtain the spectrum data of the contamination to be measured on the surface of the insulator;

Normalizing the spectrum data to obtain full spectrum data;

Perform cluster analysis on the full spectrum data according to a preset principal component analysis model to obtain a pollution score map; wherein, the pollution score map includes: a first pollution score map and a second pollution score map;

According to the pollution score map, determine the pollution type of the to-be-tested pollution on the surface of the insulator; wherein, the pollution type includes: algae pollution and ordinary pollution.
The pollution classification method according to claim 1, wherein the judging the pollution type of the to-be-tested pollution on the surface of the insulator according to the pollution score map specifically includes:

If the score of the first pollution score map is less than 5000 and the score of the second pollution score map is greater than 0, then the pollution type of the pollution to be tested is algae pollution;

If the score of the first pollution score map is less than 5000 and the score of the second pollution score map is less than 0, the pollution type of the pollution to be tested is ordinary pollution.
The pollution classification method according to claim 1, wherein after said obtaining the spectrum data of the contamination to be measured on the surface of the insulator, before normalizing the spectrum data to obtain the full spectrum data, the method further comprises:

Remove the interference of the background spectrum in the spectrum data.
The pollution classification method according to claim 1, wherein the wavelength range of the spectral data is 195.825 nanometers to 641.167 nanometers.
A system for acquiring spectral data, which is used to acquire the spectral data of the pollution to be measured in the pollution classification method according to claims 1-4;

The spectral data acquisition system includes: a sample box, a laser, a reflector for reflecting the laser signal of the laser, and a reflector for receiving the signal reflected by the reflector, refracting the signal and emitting it to the sample The convex lens of the box, the collimator for receiving the spectrum signal of the contamination to be measured in the sample box, the spectrometer, the calculator for receiving the spectrum signal of the spectrometer, and the control for controlling the laser and the spectrometer Device

The controller is respectively connected to the control end of the laser and the control end of the spectrometer, the input end of the spectrometer is connected to the collimator, and the output end of the spectrometer is connected to the calculator;

The laser is facing the center of the reflector, the reflector is inclined at a predetermined angle, a sample box is arranged along the main optical axis of the convex lens, and the collimator is arranged 45 degrees above the sample box. Wherein, the signal reflected by the reflector is incident from the optical center of the convex lens.
A filthy classification device, which is characterized in that it includes:

The acquisition module is used to acquire the spectrum data of the contamination to be measured on the surface of the insulator;

A processing module for normalizing the spectrum data to obtain full spectrum data;

The analysis module is used to perform cluster analysis on the full-spectrum data according to a preset principal component analysis model to obtain a pollution score map; wherein, the pollution score map includes: a first pollution score map and a second pollution score map ；

The classification module is used for judging the pollution type of the to-be-tested pollution on the surface of the insulator according to the pollution score map; wherein, the pollution type includes: algae pollution and ordinary pollution.
The device for classifying filth according to claim 6, wherein the device further comprises:

The preprocessing module is used to remove the interference of the background spectrum in the spectrum data.
A filthy classification terminal device, which is characterized by comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, The pollution classification method according to any one of claims 1 to 4.
A computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device in which the computer-readable storage medium is located is controlled to execute as claimed in claims 1 to 4. The pollution classification method described in any one of 4.