CN118348367A - Multispectral imaging technology-based external insulation state evaluation method, computer equipment and system - Google Patents
Multispectral imaging technology-based external insulation state evaluation method, computer equipment and system Download PDFInfo
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- 238000009422 external insulation Methods 0.000 title claims abstract description 86
- 238000000701 chemical imaging Methods 0.000 title claims abstract description 54
- 238000011156 evaluation Methods 0.000 title claims abstract description 44
- 238000005516 engineering process Methods 0.000 title claims abstract description 34
- 238000001228 spectrum Methods 0.000 claims abstract description 107
- 238000000034 method Methods 0.000 claims abstract description 68
- 238000012360 testing method Methods 0.000 claims abstract description 52
- 230000032683 aging Effects 0.000 claims abstract description 39
- 230000007613 environmental effect Effects 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 27
- 238000012937 correction Methods 0.000 claims abstract description 23
- 238000013210 evaluation model Methods 0.000 claims abstract description 11
- 238000000605 extraction Methods 0.000 claims abstract description 11
- 230000000007 visual effect Effects 0.000 claims abstract description 9
- 230000009467 reduction Effects 0.000 claims abstract description 8
- 230000003595 spectral effect Effects 0.000 claims description 21
- 239000002131 composite material Substances 0.000 claims description 16
- 239000012212 insulator Substances 0.000 claims description 16
- 238000005286 illumination Methods 0.000 claims description 14
- 230000004044 response Effects 0.000 claims description 10
- 230000007246 mechanism Effects 0.000 claims description 9
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- 238000004088 simulation Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 3
- 238000012512 characterization method Methods 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 238000004870 electrical engineering Methods 0.000 abstract description 6
- 238000012423 maintenance Methods 0.000 abstract description 4
- 238000009413 insulation Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 9
- 238000003384 imaging method Methods 0.000 description 9
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- 238000004458 analytical method Methods 0.000 description 3
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1218—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using optical methods; using charged particle, e.g. electron, beams or X-rays
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
- G01J2003/2826—Multispectral imaging, e.g. filter imaging
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Abstract
The invention relates to the technical field of electrical engineering, and discloses an external insulation state evaluation method, computer equipment and a system based on a multispectral imaging technology, wherein the method comprises the following steps: building a test platform; based on a test platform, establishing a standard spectrum database and a priori knowledge base; based on a standard spectrum database, establishing a space geometric relation model, establishing an environmental factor correction method based on the space geometric relation model, and calibrating spectrum data based on the environmental factor correction method; performing dimension reduction and characteristic wave band extraction on the calibrated spectrum data to obtain extracted spectrum characteristic parameters; combining the spectrum characteristic parameters and a priori knowledge base to construct an external insulation state evaluation model based on characteristic wave bands; the external insulation state evaluation model is utilized to realize the classification and evaluation of the aging state, and the visual display of the evaluation result is realized through the reconstruction of the spectrum image, so that the accuracy of the detection result of the additional insulation aging machine and the pollution problem is effectively improved, and a powerful support is provided for the maintenance of the electrical engineering.
Description
Technical Field
The present invention relates to the field of electrical engineering technologies, and in particular, to an external insulation state evaluation method, a computer device, and a system based on a multispectral imaging technology.
Background
In electrical engineering, the problems of external insulation aging and pollution are difficult to avoid in actual operation, and in order to prevent grid faults caused by the reduction of external insulation performance, reasonable cleaning and replacing schemes are usually required to be formulated by detecting the aging and pollution states of the external insulation surface.
At present, various external insulation detection and evaluation methods are applied to laboratories and sites, a large amount of resources are needed to be input by the traditional detection means, detection accuracy and timeliness actually needed by engineering are difficult to be considered, and certain limitations exist, so that a non-contact online monitoring method enters a mode field of view with outstanding advantages. Heretofore, the non-contact method mainly comprises an ultraviolet imaging method, an infrared thermal imaging method, an X-ray imaging method and the like, and the methods still have some defects, such as the ultraviolet imaging method and the infrared thermal imaging method, by measuring indirect signals of electricity and heat, the signal characteristics are analyzed to reflect the external insulation state, and the ultraviolet imaging needs a dark environment, which is unfavorable for the development of detection.
Disclosure of Invention
The invention provides an external insulation state evaluation method, computer equipment and a system based on a multispectral imaging technology, which are used for solving the problems in the prior art.
In order to achieve the above object, the present invention provides the following technical solutions:
an external insulation state evaluation method based on a multispectral imaging technology comprises the following steps:
Building a test platform;
based on the test platform, a standard spectrum database and a priori knowledge base are established;
establishing a space geometric relation model based on the standard spectrum database, establishing an environmental factor correction method based on the space geometric relation model, and calibrating spectrum data based on the environmental factor correction method;
performing dimension reduction and characteristic wave band extraction on the calibrated spectrum data to obtain extracted spectrum characteristic parameters;
Combining the spectrum characteristic parameters and the priori knowledge base to construct an external insulation state evaluation model based on characteristic wave bands;
And the external insulation state evaluation model is utilized to realize aging state classification and evaluation, and the visual display of the evaluation result is realized through reconstructing a spectrum image.
In one possible embodiment, the building a test platform comprises:
Providing an artificial pollution simulation platform, a composite insulator aging typical aging simulation test system, a composite insulator electrical characteristic platform, a multispectral imaging detection platform and multispectral data analysis software;
And building a test platform according to each provided platform, system and software.
In one possible implementation manner, the establishing a spatial geometrical relationship model includes:
providing an irradiation light source, and establishing a space geometric relation model of the target test object, the multispectral imaging detection platform and the irradiation light source.
In one possible implementation manner, the method for establishing the correction method of the environmental factors based on the space geometrical relationship model comprises the following steps:
acquiring the illumination condition of the illumination light source, the image acquisition angle and the image acquisition distance of the multispectral imaging detection platform in the space geometric relation model;
Based on the illumination condition of the illumination light source, the image acquisition angle and the image acquisition distance of the multispectral imaging detection platform, the influence mechanism of the environmental factors on the spectral image characteristics is mastered, and an environmental factor correction method is established.
In one possible implementation manner, the establishing a standard spectrum database and a priori knowledge base based on the test platform includes:
Repeatedly acquiring external insulation state characteristics of a target test object, and systematically acquiring spectrum data under different external insulation state characteristics;
and establishing a correlation model of the external insulation state characteristics and the reflection spectrum characteristics acquired in advance, and obtaining a standard spectrum database.
In one possible embodiment, the acquiring the external insulation state characteristic of the target test object includes:
And (3) respectively setting different condition characterization labels on the composite insulator samples subjected to different ageing and pollution conditions on the test platform by adopting a physical and chemical characteristic platform to obtain the external insulation state characteristics of different target test objects.
In a possible implementation manner, the building a standard spectrum database and a priori knowledge base based on the test platform further includes:
The test platform is used for acquiring the reflection spectrum characteristics of the sample, explaining the influence of the change of the external insulating group on spectral line response, and the correlation characteristics of aging and/or surface pollution degree and multispectral spectral lines, and analyzing the influence rule of the aging degree on the spectral line response;
Extracting a spectrum reflection value and a spectrum curve morphology as spectral line characteristic parameters, establishing a correlation model of aging and/or surface pollution degree and reflection spectrum characteristics, and determining an influence mechanism of the aging and/or surface pollution degree on the reflection spectrum characteristics;
based on the standard spectrum database, a priori knowledge base on the external insulation state characteristics and the spectrum response characteristics is obtained by combining the influence mechanism of the aging and/or surface pollution degree on the reflection spectrum characteristics.
In one possible implementation manner, the performing the step-down and characteristic band extraction on the calibrated spectrum data to obtain the extracted spectrum characteristic parameters includes:
Selecting a simplified spectrum characteristic space subset capable of distinguishing a target object to the greatest extent, reducing the dimension of the calibrated spectrum data, and extracting characteristic wave bands;
and (3) removing redundant data based on the extraction result through the information entropy index, and optimizing on the premise of guaranteeing the balance of the minimum characteristic wave band quantity and the maximum information quantity to obtain the spectrum characteristic parameters.
In another aspect, the present invention also provides a computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method for evaluating the external insulation state based on the multispectral imaging technique as defined in any one of the above when executing the computer program.
In another aspect, the invention further provides an external insulation state evaluation system based on the multispectral imaging technology, so as to realize the external insulation state evaluation method based on the multispectral imaging technology.
Compared with the prior art, the invention has the following beneficial effects:
According to the method, the computer equipment and the system for evaluating the external insulation state based on the multispectral imaging technology, the external insulation state evaluation model based on the characteristic wave band is constructed, the external insulation state evaluation model is utilized to realize the classification and evaluation of the aging state, and the reconstructed spectrum image is utilized to realize the visual display of the evaluation result, so that the method, the computer equipment and the system are not limited to the detection of the environment, the accuracy of the detection result of an additional insulation aging machine and a pollution problem is effectively improved, and a powerful support is provided for the maintenance of electrical engineering.
The invention has other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following detailed description, which are incorporated herein, taken in conjunction with the accompanying drawings and the detailed description, which illustrate certain principles of the invention.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an external insulation state evaluation method based on a multispectral imaging technology according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of a test platform set up in an external insulation state evaluation method based on a multispectral imaging technology according to a first embodiment of the present invention;
Fig. 3 is a flowchart of step S1 in an external insulation state evaluation method based on a multispectral imaging technology according to a first embodiment of the present invention;
Fig. 4 is a flowchart of step S2 in an external insulation state evaluation method based on a multispectral imaging technology according to a first embodiment of the present invention;
FIG. 5 is a flowchart showing a step S2 in an external insulation state evaluation method based on a multispectral imaging technique according to a first embodiment of the present invention;
fig. 6 is a flowchart of step S3 in an external insulation state evaluation method based on a multispectral imaging technology according to a first embodiment of the present invention;
Fig. 7 is a schematic diagram of a physical structure of a space spherical coordinate system of a target test object, a multispectral imager and an irradiation light source in an external insulation state evaluation method based on multispectral imaging technology according to an embodiment of the invention;
FIG. 8 is a flowchart of step S3 in an external insulation state evaluation method based on multispectral imaging technology according to an embodiment of the present invention;
Fig. 9 is a flowchart of step S4 in an external insulation state evaluation method based on a multispectral imaging technology according to a first embodiment of the present invention;
Fig. 10 is a process diagram, a graph and an analysis effect diagram of partial steps in composite insulator state estimation based on characteristic spectrum image data analysis in an external insulation state estimation method based on a multispectral imaging technology according to a first embodiment of the present invention;
FIG. 11 is a diagram showing an example of a result of visualizing a contamination level in an external insulation state evaluation method based on a multispectral imaging technique according to an embodiment of the present invention;
FIG. 12 is a second example of a visual result of contamination level in an external insulation state evaluation method based on multispectral imaging technology according to the first embodiment of the present invention;
fig. 13 is a third example of a visual result of the contamination level in the method for evaluating the external insulation state based on the multispectral imaging technology according to the first embodiment of the present invention.
Detailed Description
In order to describe the possible application scenarios, technical principles, practical embodiments, and the like of the present application in detail, the following description is made with reference to the specific embodiments and the accompanying drawings. The embodiments described herein are only for more clearly illustrating the technical aspects of the present application, and thus are only exemplary and not intended to limit the scope of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of the phrase "in various places in the specification are not necessarily all referring to the same embodiment, nor are they particularly limited to independence or relevance from other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the technical features mentioned in each embodiment may be combined in any manner to form a corresponding implementable technical solution.
Unless defined otherwise, technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application pertains; the use of related terms herein is for the purpose of describing particular embodiments only and is not intended to limit the application.
In the description of the present application, the term "and/or" is a representation for describing a logical relationship between objects, which means that three relationships may exist, for example a and/or B, representing: there are three cases, a, B, and both a and B. In addition, the character "/" herein generally indicates that the front-to-back associated object is an "or" logical relationship.
In the present application, terms such as "first" and "second" are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual number, order, or sequence of such entities or operations.
Without further limitation, the use of the terms "comprising," "including," "having," or other like terms in this specification is intended to cover a non-exclusive inclusion, such that a process, method, or article of manufacture that comprises a list of elements does not include additional elements but may include other elements not expressly listed or inherent to such process, method, or article of manufacture.
As in the understanding of "review guidelines," the expressions "greater than", "less than", "exceeding" and the like are understood to exclude this number in the present application; the expressions "above", "below", "within" and the like are understood to include this number. Furthermore, in the description of embodiments of the present application, the meaning of "a plurality of" is two or more (including two), and similarly, the expression "a plurality of" is also to be understood as such, for example, "a plurality of" and the like, unless specifically defined otherwise.
In the description of embodiments of the present application, spatially relative terms such as "center," "longitudinal," "transverse," "length," "width," "thickness," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "vertical," "top," "bottom," "inner," "outer," "clockwise," "counter-clockwise," "axial," "radial," "circumferential," etc., are used herein as a basis for the description of the embodiments or as a basis for the description of the embodiments, and are not intended to indicate or imply that the devices or components referred to must have a particular position, a particular orientation, or be configured or operated in a particular orientation and therefore should not be construed as limiting the embodiments of the present application.
Unless specifically stated or limited otherwise, the terms "mounted," "connected," "affixed," "disposed," and the like as used in the description of embodiments of the application should be construed broadly. For example, the "connection" may be a fixed connection, a detachable connection, or an integral arrangement; the device can be mechanically connected, electrically connected and communicated; it can be directly connected or indirectly connected through an intermediate medium; which may be a communication between two elements or an interaction between two elements. The specific meaning of the above terms in the embodiments of the present application can be understood by those skilled in the art to which the present application pertains according to circumstances.
In electrical engineering, the problems of external insulation aging and pollution are difficult to avoid in actual operation, and in order to prevent grid faults caused by the reduction of external insulation performance, reasonable cleaning and replacing schemes are usually required to be formulated by detecting the aging and pollution states of the external insulation surface.
At present, various external insulation detection and evaluation methods are applied to laboratories and sites, a large amount of resources are needed to be input by the traditional detection means, detection accuracy and timeliness actually needed by engineering are difficult to be considered, and certain limitations exist, so that a non-contact online monitoring method enters a mode field of view with outstanding advantages. Heretofore, the non-contact method mainly comprises an ultraviolet imaging method, an infrared thermal imaging method, an X-ray imaging method and the like, and the methods still have some defects, such as the ultraviolet imaging method and the infrared thermal imaging method, by measuring indirect signals of electricity and heat, the signal characteristics are analyzed to reflect the external insulation state, and the ultraviolet imaging needs a dark environment, which is unfavorable for the development of detection.
In order to solve the problem of the traditional detection and evaluation method, the patent provides an external insulation state evaluation method based on a multispectral imaging technology, and the method has wide application prospects in external insulation operation maintenance, line inspection, live detection and online monitoring of power equipment.
Example 1
In view of the above-mentioned drawbacks of the existing non-contact on-line monitoring method, the present inventors have actively studied and innovated based on the practice experience and expertise that are rich for many years in designing and manufacturing such products, and in combination with the application of the theory, so as to hope to create a technology capable of solving the drawbacks in the prior art, so that various external insulation detection evaluations are more practical. After continuous research and design and repeated sample test and improvement, the application with practical value is finally created.
Referring to fig. 1, an embodiment of the present invention provides an external insulation state evaluation method based on a multispectral imaging technology, including:
s1, building a test platform.
Referring to fig. 2, a schematic diagram of the test platform set up in this step is shown in fig. 2.
Referring to fig. 3, in one possible implementation, the building of the test platform includes:
s11, providing an artificial pollution simulation platform, a composite insulator aging typical aging simulation test system, a composite insulator electrical characteristic platform, a multispectral imaging detection platform and multispectral data analysis software;
S12, building a test platform according to the provided platforms, systems and software.
By setting up a test platform, the aging and pollution processes of the composite insulator can be simulated, and the electrical characteristics and multispectral imaging data of the composite insulator can be acquired and analyzed. And laying a foundation for the subsequent establishment of a standard spectrum database and a priori knowledge base.
S2, based on the test platform, a standard spectrum database and a priori knowledge base are established.
Referring to fig. 4, in one possible implementation, building a standard spectrum database and a priori knowledge base based on a test platform includes:
S21, repeatedly acquiring external insulation state characteristics of a target test object, and systematically acquiring spectrum data under different external insulation state characteristics;
S22, establishing a correlation model of the external insulation state characteristics and the reflection spectrum characteristics acquired in advance, and obtaining a standard spectrum database.
In step S21, obtaining the external insulation state characteristics of the target test object includes:
and (3) respectively setting different condition characterization labels on the composite insulator samples subjected to different ageing and pollution conditions on the test platform by adopting a physical and chemical characteristic platform to obtain the external insulation state characteristics of different target test objects.
Referring to fig. 5, in one possible implementation, based on the test platform, a standard spectrum database and a priori knowledge base are established, and further including:
S23, obtaining the reflection spectrum characteristics of the sample by using a test platform, describing the influence of the change of the external insulating group on spectral line response, and the correlation characteristics of aging and/or surface pollution degree and multispectral spectral lines, and analyzing the influence rule of the aging degree on the spectral line response;
S24, extracting a spectral reflection value and a spectral curve morphology as spectral line characteristic parameters, establishing a correlation model of aging and/or surface pollution degree and reflection spectral characteristics, and determining an influence mechanism of the aging and/or surface pollution degree on the reflection spectral characteristics;
s25, based on a standard spectrum database, combining an influence mechanism of aging and/or surface pollution degree on reflection spectrum characteristics to obtain a priori knowledge base on external insulation state characteristics and spectrum response characteristics.
In the step, the standard spectrum database is obtained by collecting the reflection spectrum data of the composite insulator under different ageing and pollution states on a test platform and establishing a correlation model of the external insulation state characteristics and the reflection spectrum characteristics.
Meanwhile, the influence rule of the aging degree on the spectrum response is analyzed, characteristic parameters are extracted, and a priori knowledge base is established.
Based on this, this step S2 establishes a comprehensive and reliable standard spectrum database and a priori knowledge base, providing basic data and theoretical support for subsequent external insulation state assessment.
S3, based on a standard spectrum database, establishing a space geometric relation model, establishing an environment factor correction method based on the space geometric relation model, and calibrating spectrum data based on the environment factor correction method.
Referring to fig. 6, in a possible implementation manner, in the step S3, a spatial geometrical relationship model is built, including:
s31, providing an irradiation light source, and establishing a space geometric relation model of the target test object, the multispectral imaging detection platform and the irradiation light source.
Referring to fig. 7, a model of the spatial geometry relationship among the target test object, the multispectral imaging detection platform and the illumination source is established.
As shown in fig. 7, in the space spherical coordinate system of the target test object, the multispectral imager and the irradiation light source, the solid structure comprises a base slip ring, a slide rail is arranged on the base slip ring, an upper slip ring a and an upper slip ring B are connected on the slide rail in a sliding manner, a spectrum probe mounting frame is arranged on the upper slip ring a, a light source mounting frame is arranged on the upper slip ring B, and the target test object is located at the circle center of the base slip ring.
In the step, a three-dimensional coordinate system is established according to the spatial layout of the multispectral imager and the irradiation light source, the position relationship among the base slip ring, the upper slip ring A and the upper slip ring B is defined, and then a spatial geometrical relationship model among a target test object, the spectrum probe and the light source is established through geometrical measurement and modeling.
It can be appreciated that the method for correcting the environmental factors based on the space geometrical relationship model comprises the following steps:
analyzing geometrical effects of the surface of the target object irradiated by the light source by using a space geometrical relation model, wherein the geometrical effects comprise factors such as an incident angle, a reflection angle, shadows and the like;
Establishing an environmental factor correction model based on geometric effects, and calculating the influence of the geometric effects on the optical data through a mathematical formula;
and (3) applying the calculated geometric effect factors to the original spectrum data for correction, and eliminating the influence of environmental factors.
In addition, in the step, when the spectrum data based on the environmental factor correction method is calibrated, the original spectrum data is calibrated through the environmental factor correction method by utilizing the reference spectrum in the standard spectrum database; and then, comparing the spectrum data before and after correction, evaluating the calibration effect of the environmental factor correction method, and analyzing the accuracy and the stability of the calibration effect so as to further optimize the environmental factor correction model and improve the reliability of the calibration result.
In summary, in the embodiment, the method for correcting the environmental factors based on the spatial geometric relationship model can realize effective spectrum data calibration, eliminate the influence of the environmental factors on spectrum measurement, improve the accuracy and reliability of data, and has wide application prospects in the fields of remote sensing, material analysis and the like.
Referring to fig. 8, in one possible implementation, an environmental factor correction method based on a spatial geometrical relationship model is established, including:
s32, acquiring illumination conditions of an illumination source, an image acquisition angle and an image acquisition distance of a multispectral imaging detection platform in the space geometric relation model;
S33, based on the illumination condition of the illumination light source, the image acquisition angle and the image acquisition distance of the multispectral imaging detection platform, grasping an influence mechanism of the environmental factors on the spectral image characteristics by quantitative analysis of the environmental factors, and establishing an environmental factor correction method.
In the step, the influence of environmental factors (illumination conditions, imaging angles, distances and the like) on the spectrum image is analyzed based on the space geometric relation model, and the environmental factor correction is established, so that the interference of the environmental factors on the spectrum image is effectively eliminated, and the reliability and the accuracy of spectrum data are improved.
S4, performing dimension reduction and characteristic wave band extraction on the calibrated spectrum data to obtain extracted spectrum characteristic parameters.
Referring to fig. 9, specifically, in step S4, the step of performing the dimension reduction and characteristic band extraction on the calibrated spectrum data to obtain the extracted spectrum characteristic parameters includes:
S41, selecting a simplified spectrum feature space subset capable of distinguishing a target object to the greatest extent, reducing the dimension of the calibrated spectrum data, and extracting a feature wave band;
s42, eliminating redundant data based on the extraction result through the information entropy index, and optimizing on the premise of guaranteeing the balance of the minimum characteristic wave band quantity and the maximum information quantity to obtain the spectrum characteristic parameters.
It can be understood that in the step S3, the simplified spectrum feature space subset capable of distinguishing the target object to the maximum extent is selected, the calibrated spectrum data is subjected to the dimension reduction and feature band extraction, and the spectrum feature parameters are obtained through the information entropy index optimization, so that the dimensions of the spectrum data are greatly reduced, the key spectrum feature parameters are extracted, and high-quality input data are provided for the subsequent external insulation state evaluation.
S5, combining the spectrum characteristic parameters and the priori knowledge base to construct an external insulation state evaluation model based on the characteristic wave band.
It can be understood that in the step, by combining the spectral characteristic parameters and the priori knowledge base, an external insulation state evaluation model based on the characteristic wave band is constructed, so that classification and evaluation of the aging state are realized, and the external insulation state of the composite insulator can be accurately evaluated.
And S6, classifying and evaluating the aging state by using an external insulation state evaluation model, and realizing visual display of an evaluation result by reconstructing a spectrum image.
Referring to fig. 10, a process diagram, a graph and an analysis effect diagram of a part of steps in the composite insulator state evaluation based on the characteristic spectrum image data analysis are shown.
Based on the foregoing steps, in the steps, visual display of the evaluation result is achieved by reconstructing the spectral image, and valuable information support is provided for practical applications, as shown in fig. 11 to 13, which are exemplary diagrams of the visual result of the contamination level.
In summary, the method for evaluating the external insulation state based on the multispectral imaging technology provided by the embodiment of the invention realizes accurate evaluation of the external insulation state of the composite insulator through establishment of a test platform of the system, establishment of a standard spectrum database and a priori knowledge base and pretreatment and modeling of spectrum data, has high operation efficiency and low requirement on environment, and provides a new solution for monitoring and operation and maintenance of the state of power equipment.
Example two
Based on the foregoing embodiments, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and where the processor implements the method for evaluating an external insulation state based on a multispectral imaging technology according to any one of the foregoing embodiments when executing the computer program.
The computer device is in the form of a general purpose computing device. Components of a computer device may include, but are not limited to: one or more processors or processing units, a system memory, and a bus that connects the different system components (including the system memory and the processing units).
Bus means one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer devices typically include a variety of computer system readable media. Such media can be any available media that can be accessed by the computer device and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) and/or cache memory. The computer device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, a storage system may be used to read from or write to a non-removable, nonvolatile magnetic medium (not shown in the figures and commonly referred to as a "hard disk drive"). Although not shown, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk such as a CD-ROM, DVD-ROM, or other optical media may be provided. In these cases, each drive may be coupled to the bus through one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the embodiments of the invention.
A program/utility having a set (at least one) of program modules may be stored, for example, in a memory, such program modules including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules typically carry out the functions and/or methods of the embodiments described herein.
A computer device may also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), with one or more devices that enable a user to interact with the computer device, and/or with any device (e.g., network card, modem, etc.) that enables the computer device to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface. Moreover, the computer device may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter. As shown, the network adapter communicates with other modules of the computer device via a bus. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in connection with a computer device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit executes various functional applications and data processing by running a program stored in the system memory, for example, to implement the obstacle position correction method provided by the embodiment of the present invention.
Example III
Based on the foregoing embodiments, the embodiments of the present invention provide an external insulation state evaluation system based on a multispectral imaging technology, so as to implement the external insulation state evaluation method based on the multispectral imaging technology as described in any one of the foregoing embodiments.
The system can execute the method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method.
Finally, it should be noted that, although the embodiments have been described in the text and the drawings, the scope of the application is not limited thereby. The technical scheme generated by replacing or modifying the equivalent structure or equivalent flow by utilizing the content recorded in the text and the drawings of the specification based on the essential idea of the application, and the technical scheme of the embodiment directly or indirectly implemented in other related technical fields are included in the patent protection scope of the application.
Claims (10)
1. An external insulation state evaluation method based on a multispectral imaging technology is characterized by comprising the following steps:
Building a test platform;
based on the test platform, a standard spectrum database and a priori knowledge base are established;
establishing a space geometric relation model based on the standard spectrum database, establishing an environmental factor correction method based on the space geometric relation model, and calibrating spectrum data based on the environmental factor correction method;
performing dimension reduction and characteristic wave band extraction on the calibrated spectrum data to obtain extracted spectrum characteristic parameters;
Combining the spectrum characteristic parameters and the priori knowledge base to construct an external insulation state evaluation model based on characteristic wave bands;
And the external insulation state evaluation model is utilized to realize aging state classification and evaluation, and the visual display of the evaluation result is realized through reconstructing a spectrum image.
2. The method for evaluating the external insulation state based on the multispectral imaging technology according to claim 1, wherein the constructing the test platform comprises:
Providing an artificial pollution simulation platform, a composite insulator aging typical aging simulation test system, a composite insulator electrical characteristic platform, a multispectral imaging detection platform and multispectral data analysis software;
And building a test platform according to each provided platform, system and software.
3. The method for evaluating the external insulation state based on the multispectral imaging technology according to claim 2, wherein the establishing a spatial geometrical relationship model comprises:
providing an irradiation light source, and establishing a space geometric relation model of a target test object, the multispectral imaging detection platform and the irradiation light source.
4. The method for evaluating the external insulation state based on the multispectral imaging technology according to claim 3, wherein the method for establishing the environmental factor correction based on the spatial geometrical relationship model comprises the following steps:
acquiring the illumination condition of the illumination light source, the image acquisition angle and the image acquisition distance of the multispectral imaging detection platform in the space geometric relation model;
Based on the illumination condition of the illumination light source, the image acquisition angle and the image acquisition distance of the multispectral imaging detection platform, the influence mechanism of the environmental factors on the spectral image characteristics is mastered, and an environmental factor correction method is established.
5. The method for evaluating the external insulation state based on the multispectral imaging technology according to claim 1, wherein the establishing a standard spectrum database and a priori knowledge base based on the test platform comprises:
Repeatedly acquiring external insulation state characteristics of a target test object, and systematically acquiring spectrum data under different external insulation state characteristics;
and establishing a correlation model of the external insulation state characteristics and the reflection spectrum characteristics acquired in advance, and obtaining a standard spectrum database.
6. The method for evaluating the external insulation state based on the multispectral imaging technique according to claim 5, wherein the acquiring the external insulation state characteristics of the target test object comprises:
And (3) respectively setting different condition characterization labels on the composite insulator samples subjected to different ageing and pollution conditions on the test platform by adopting a physical and chemical characteristic platform to obtain the external insulation state characteristics of different target test objects.
7. The method for evaluating an external insulation state based on a multispectral imaging technique according to claim 1, wherein the establishing a standard spectrum database and a priori knowledge base based on the test platform further comprises:
The test platform is used for acquiring the reflection spectrum characteristics of the sample, explaining the influence of the change of the external insulating group on spectral line response, and the correlation characteristics of aging and/or surface pollution degree and multispectral spectral lines, and analyzing the influence rule of the aging degree on the spectral line response;
Extracting a spectrum reflection value and a spectrum curve morphology as spectral line characteristic parameters, establishing a correlation model of aging and/or surface pollution degree and reflection spectrum characteristics, and determining an influence mechanism of the aging and/or surface pollution degree on the reflection spectrum characteristics;
based on the standard spectrum database, a priori knowledge base on the external insulation state characteristics and the spectrum response characteristics is obtained by combining the influence mechanism of the aging and/or surface pollution degree on the reflection spectrum characteristics.
8. The method for evaluating the external insulation state based on the multispectral imaging technology according to claim 1, wherein the step-down and characteristic band extraction is performed on the calibrated spectrum data to obtain the extracted spectrum characteristic parameters, and the method comprises the following steps:
Selecting a simplified spectrum characteristic space subset capable of distinguishing a target object to the greatest extent, reducing the dimension of the calibrated spectrum data, and extracting characteristic wave bands;
and (3) removing redundant data based on the extraction result through the information entropy index, and optimizing on the premise of guaranteeing the balance of the minimum characteristic wave band quantity and the maximum information quantity to obtain the spectrum characteristic parameters.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method for assessing the state of external insulation based on multispectral imaging technique according to any one of claims 1-8 when executing the computer program.
10. An external insulation state evaluation system based on a multispectral imaging technique, which is configured to implement the external insulation state evaluation method based on a multispectral imaging technique as set forth in any one of claims 1 to 8.
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| CN119198763A (en) * | 2024-11-29 | 2024-12-27 | 江西瑞尔特电气科技有限公司 | Insulator contamination detection method and system based on multi-spectral fusion |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN119198763A (en) * | 2024-11-29 | 2024-12-27 | 江西瑞尔特电气科技有限公司 | Insulator contamination detection method and system based on multi-spectral fusion |
| CN119198763B (en) * | 2024-11-29 | 2025-03-18 | 江西瑞尔特电气科技有限公司 | Insulator contamination detection method and system based on multi-spectral fusion |
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