CN114166881A - Microstructure evaluation-based suspension type composite insulator design method - Google Patents
Microstructure evaluation-based suspension type composite insulator design method Download PDFInfo
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- 239000012212 insulator Substances 0.000 title claims abstract description 85
- 239000002131 composite material Substances 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000011156 evaluation Methods 0.000 title claims abstract description 55
- 239000000725 suspension Substances 0.000 title claims abstract description 54
- 238000013461 design Methods 0.000 title claims abstract description 26
- 238000012360 testing method Methods 0.000 claims abstract description 57
- 229920001971 elastomer Polymers 0.000 claims abstract description 52
- 239000000470 constituent Substances 0.000 claims abstract description 18
- 239000000654 additive Substances 0.000 claims abstract description 12
- 230000000996 additive effect Effects 0.000 claims abstract description 7
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 30
- 239000006229 carbon black Substances 0.000 claims description 25
- WNROFYMDJYEPJX-UHFFFAOYSA-K aluminium hydroxide Chemical compound [OH-].[OH-].[OH-].[Al+3] WNROFYMDJYEPJX-UHFFFAOYSA-K 0.000 claims description 22
- 229920002379 silicone rubber Polymers 0.000 claims description 19
- 239000002245 particle Substances 0.000 claims description 15
- 239000011148 porous material Substances 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 7
- 238000002360 preparation method Methods 0.000 claims description 7
- 239000004945 silicone rubber Substances 0.000 claims description 7
- 239000000203 mixture Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 description 5
- 239000004615 ingredient Substances 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
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- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229910021485 fumed silica Inorganic materials 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000010287 polarization Effects 0.000 description 2
- 229910002027 silica gel Inorganic materials 0.000 description 2
- 239000000741 silica gel Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
- G01N23/225—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material using electron or ion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
- G01N23/2202—Preparing specimens therefor
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Abstract
The invention discloses a method for designing a suspension type composite insulator based on microstructure evaluation, which comprises the following steps: obtaining a preset group number of component test samples; determining an index of a constituent parameter in each set of said constituent test samples; adding an auxiliary additive for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples; scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample; traversing all the sample microscopic images, and determining the optimal sample microscopic image and the corresponding optimal component parameter index thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation. The method is used for designing a novel composite insulator with humidity and heat resistance, and solves the problem that the conventional composite insulator generates heat in a large area.
Description
Technical Field
The invention relates to the field of structure detection, in particular to a method for designing a suspension type composite insulator based on microstructure evaluation.
Background
Although the composite insulators have the advantages of high strength, light weight, high pollution flashover voltage and the like, the composite insulators are frequently used in a large amount in an electric power system from the 20 th century and the 80 th century in China, and the composite insulators are frequently heated abnormally in a large area along with the increase of the running time and the complexity of the running environment.
The existing research shows that the abnormal heating of the high-voltage end part of the composite insulator is mainly caused by the fact that the composite insulator absorbs moisture, so that the polarization heating is caused. The silicon rubber composite insulators with different silicon rubber material microstructures have different water absorbability, and the polarization heating degrees are different after water absorption, so that the inhibition of the abnormal heating condition of the composite insulators is of great significance.
At present, the composite insulator is mainly subjected to methods of changing components, adding additives and the like to improve the leakage-resistant electromechanical performance of the silicon rubber and obtain new composite insulation, but a composite insulator design method which is lack of a damp-heat resistant environment and has no abnormal heating is available at present.
Disclosure of Invention
The invention provides a method for designing a suspension type composite insulator based on microstructure evaluation, which is used for designing a novel composite insulator with humidity and heat resistance and solving the problem that the conventional composite insulator generates heat in a large area.
In a first aspect, the invention provides a method for designing a suspension composite insulator based on microstructure evaluation, which comprises the following steps:
obtaining a preset group number of component test samples;
determining an index of a constituent parameter in each set of said constituent test samples;
adding an auxiliary additive for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples;
scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
traversing all the sample microscopic images, and determining the optimal sample microscopic image and the corresponding optimal component parameter index thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation.
Optionally, traversing all the sample microscopic images, and determining an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image, including:
measuring the uniformity and porosity of all the microscopic images of the sample in an electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixel points and the total number of the pixel points;
selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image;
and taking the component parameter index corresponding to the optimal sample microscopic image as an optimal component parameter index.
Optionally, after traversing all the sample microscopic images and determining an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image, the method further includes:
and verifying whether the infrared temperature rise of the component test sample corresponding to the optimal component parameter index is lower than a preset temperature rise threshold value.
Optionally, the composition parameter indicator comprises: preparing white carbon black, aluminum hydroxide median particle size and gel content; determining an index of a constituent parameter in each set of said constituent test samples, comprising:
determining and distinguishing silicone rubber white carbon black, aluminum hydroxide and crude rubber in each group of component test samples;
and respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
In a second aspect, the invention also discloses a device for designing a suspension type composite insulator based on microstructure evaluation, which comprises:
the acquisition module is used for acquiring the component test samples with preset groups;
an index determination module for determining component parameter indices in each set of the component test samples;
the sample determination module is used for adding auxiliary additives for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples;
the scanning module is used for scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
the optimal index determining module is used for traversing all the sample microscopic images and determining the optimal sample microscopic images and the corresponding optimal component parameter indexes thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation.
Optionally, the optimal index determining module includes:
the measurement submodule is used for measuring the uniformity and porosity of all the microscopic images of the sample in an electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixel points and the total number of the pixel points;
the selection submodule is used for selecting the sample microscopic image with the highest uniformity and the lowest porosity as the optimal sample microscopic image;
and the optimal index determining submodule is used for taking the component parameter index corresponding to the optimal sample microscopic image as the optimal component parameter index.
Optionally, the apparatus further comprises:
and the verification module is used for verifying whether the infrared temperature rise of the component test sample corresponding to the optimal component parameter index is lower than a preset temperature rise threshold value.
Optionally, the composition parameter indicator comprises: preparing white carbon black, aluminum hydroxide median particle size and gel content; the index determination module includes:
the component determination submodule is used for determining and distinguishing the silicon rubber white carbon black, the aluminum hydroxide and the raw rubber in each group of component test samples;
and the parameter index determining submodule is used for respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
In a third aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, perform the steps of the method as provided in the first aspect.
In a fourth aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as provided in the first aspect above.
According to the technical scheme, the invention has the following advantages:
the method comprises the steps of obtaining a preset group number of component test samples; determining an index of a constituent parameter in each set of said constituent test samples; adding an auxiliary additive for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples; scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample; traversing all the sample microscopic images, and determining the optimal sample microscopic image and the corresponding optimal component parameter index thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation. The composite insulator is manufactured by trial based on different component parameter indexes by the same process, the microstructure of each different silicone rubber is analyzed by a microstructure evaluation method under the same environment, and the optimal component parameter index is determined according to the analysis result, namely the design component combination of the suspension composite insulator based on the microstructure evaluation is determined. The method is used for designing a novel composite insulator with humidity and heat resistance, and solves the problem that the conventional composite insulator generates heat in a large area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a flow chart of the first embodiment of the method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
FIG. 2 is a flow chart of the steps of an embodiment II of the method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
fig. 3 is a microstructure picture of a sample 1 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
fig. 4 is a microstructure picture of a sample 2 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
fig. 5 is a microstructure picture of a sample 3 in a second embodiment of the method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
fig. 6 is a microstructure picture of a sample 4 in a second embodiment of the method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
fig. 7 is a microstructure picture of a sample 5 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention;
fig. 8 shows the infrared temperature rise results of sample 1 and sample 2 in the second embodiment of the method for designing a suspension composite insulator according to the present invention;
fig. 9 shows the infrared temperature rise result of sample 3 in the second embodiment of the method for designing a suspension composite insulator according to the present invention;
fig. 10 is an infrared temperature rise of samples 4 and 5 in the second embodiment of the method for designing a suspension composite insulator according to the microstructure evaluation of the present invention;
fig. 11 is a block diagram illustrating an embodiment of a device for designing a suspension composite insulator based on microstructure evaluation according to the present invention.
Detailed Description
The embodiment of the invention provides a method for designing a suspension type composite insulator based on microstructure evaluation, which is used for designing a novel composite insulator with humidity and heat resistance and solving the problem that the conventional composite insulator generates heat in a large area.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In a first embodiment, referring to fig. 1, fig. 1 is a flowchart illustrating a first step of a method for designing a suspension composite insulator based on microstructure evaluation according to a first embodiment of the present invention, where the method specifically includes the following steps:
step S101, obtaining a preset number of groups of component test samples;
step S102, determining component parameter indexes in each group of component test samples;
step S103, adding auxiliary additives for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples;
step S104, scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
step S105, traversing all the sample microscopic images, and determining an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation.
In the embodiment of the invention, a preset group number of component test samples are obtained; determining an index of a constituent parameter in each set of said constituent test samples; adding an auxiliary additive for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples; scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample; traversing all the sample microscopic images, and determining the optimal sample microscopic image and the corresponding optimal component parameter index thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation. The composite insulator is manufactured by trial based on different component parameter indexes by the same process, the microstructure of each different silicone rubber is analyzed by a microstructure evaluation method under the same environment, and the optimal component parameter index is determined according to the analysis result, namely the design component combination of the suspension composite insulator based on the microstructure evaluation is determined. The method is used for designing a novel composite insulator with humidity and heat resistance, and solves the problem that the conventional composite insulator generates heat in a large area.
In a second embodiment, please refer to fig. 2, which is a flowchart illustrating steps of a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention, the method may specifically include the following steps:
step S201, obtaining a preset group number of component test samples;
the insulator is a special insulating control and can play an important role in an overhead transmission line. The insulator is usually made of silica gel or ceramic, and the microstructure evaluation method of the material of the insulator is aimed at the composite insulator made of silica gel.
The composite insulator has a structure including: gold utensil, plug, sheath, equalizer ring and a plurality of full skirt. The composite insulator sample is selected from umbrella skirts of load insulators at a high-voltage section, a middle section and a low-voltage section of a power line respectively.
In the present example, 5 compositional groups were taken into different compositional test samples.
Step S202, determining and distinguishing the component parameter indexes in each group of the component test samples, namely silicone rubber white carbon black, aluminum hydroxide and crude rubber;
step S203, respectively determining a preparation method of the white carbon black of the silicon rubber white carbon black, the particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples;
in the embodiment of the invention, the ingredient parameters of all ingredient test samples need to be determined and recorded as long as the ingredients of the ingredient test samples are silicone rubber white carbon black, aluminum hydroxide and raw rubber. Wherein, the component parameter indexes comprise: the preparation method of the white carbon black, the particle size of the aluminum hydroxide and the content of the glue are as follows:
here, "2.5 +6 mixed" in the table means that aluminum hydroxide having particle sizes of 2.5 μm and 6 μm is present in the composition test sample.
Step S204, adding auxiliary additives for mixing based on all component parameter indexes to obtain rubber samples corresponding to the component test samples;
step S205, scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
step S206, measuring the uniformity and porosity of all the microscopic images of the sample in an electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixel points and the total number of the pixel points;
in the embodiment of the invention, the size of an electronic observation area of a scanning electron microscope is 1mm multiplied by 1mm, and the electronic observation area is used for observing and analyzing a sample microscopic image so as to determine the uniformity and porosity of the sample microscopic image, wherein the porosity is determined by the number of silent pore pixel points and the total number of pixel points.
In a special case, the gray value can be used as a judgment basis, and a region formed by pixel points of which the gray value is in the interval [0, 100] is defined as a pore pixel point region; and defining the region formed by the pixels with the gray values in the interval [101, 255] as other pixel regions. And counting the number of the pore pixels and the number of other pixels, summing the number of the pore pixels and the number of other pixels to obtain the total number of the pixels, and taking the ratio of the number of the pore pixels to the number of the pore pixels and the number of other pixels as the porosity of the sample.
Step S207, selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image;
referring to fig. 3 to 7, fig. 3 is a microstructure picture of a sample 1 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention, fig. 4 is a microstructure picture of a sample 2 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention, fig. 5 is a microstructure picture of a sample 3 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention, fig. 6 is a microstructure picture of a sample 4 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention, fig. 7 is a microstructure picture of a sample 5 in a second embodiment of a method for designing a suspension composite insulator based on microstructure evaluation according to the present invention, it can be seen that a porosity of a sample surround view image of the sample 3 is lowest, and a uniformity of the sample 5 is highest, an optimal sample scout image was then defined for sample 3 and sample 5.
Step S208, taking the component parameter index corresponding to the optimal sample microscopic image as an optimal component parameter index;
in the embodiment of the present invention, the component parameter indexes corresponding to the samples 3 and 5 are the optimal component parameter indexes, that is, the optimal component parameter indexes are: "fumed silica, 2.5 μm median particle size aluminum hydroxide and 37% gum content", and "fumed silica, 2.5 μm +6 μm median particle size aluminum hydroxide mixture and 42% gum content".
And S209, verifying whether the infrared temperature rise of the component test sample corresponding to the optimal component parameter index is lower than a preset temperature rise threshold value.
Referring to fig. 8 to 10, fig. 8 shows the infrared temperature rise results of a sample 1 and a sample 2 in the second embodiment of the suspension composite insulator design method based on microstructure evaluation according to the present invention, fig. 9 shows the infrared temperature rise result of a sample 3 in the second embodiment of the suspension composite insulator design method based on microstructure evaluation according to the present invention, fig. 10 shows the infrared temperature rise results of a sample 4 and a sample 5 in the second embodiment of the suspension composite insulator design method based on microstructure evaluation according to the present invention, and it can be seen that the infrared temperature rise result of the sample 1 is 5.6K, the infrared temperature rise result of the sample 2 is 10.7K, the infrared temperature rise result of the sample 3 is 0.8K, the infrared temperature rise result of the sample 4 is 1.5K, and the infrared temperature rise result of the sample 5 is 0.3K. That is to say, the infrared temperature rise result of the component test sample corresponding to the optimal component parameter index is lower than 1K, and the effect of the suspension composite insulator designed based on the optimal component parameter index is better.
In the embodiment of the invention, a preset group number of component test samples are obtained; determining an index of a constituent parameter in each set of said constituent test samples; adding an auxiliary additive for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples; scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample; traversing all the sample microscopic images, and determining the optimal sample microscopic image and the corresponding optimal component parameter index thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation. The composite insulator is manufactured by trial based on different component parameter indexes by the same process, the microstructure of each different silicone rubber is analyzed by a microstructure evaluation method under the same environment, and the optimal component parameter index is determined according to the analysis result, namely the design component combination of the suspension composite insulator based on the microstructure evaluation is determined. The method is used for designing a novel composite insulator with humidity and heat resistance, and solves the problem that the conventional composite insulator generates heat in a large area.
Referring to fig. 11, a block diagram of an embodiment of a suspension composite insulator design apparatus based on microstructure evaluation is shown, including the following modules:
an obtaining module 401, configured to obtain a preset number of groups of component test samples;
an index determination module 402 for determining an index of a constituent parameter in each set of the constituent test samples;
a sample determination module 403, configured to add an auxiliary additive to mix based on all the component parameter indexes, so as to obtain a rubber sample corresponding to the component test sample;
the scanning module 404 is configured to scan the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
an optimal index determination module 405, configured to traverse all the sample microscopic images, and determine an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation.
In an optional embodiment, the optimal indicator determining module 405 includes:
the measurement submodule is used for measuring the uniformity and porosity of all the microscopic images of the sample in an electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixel points and the total number of the pixel points;
the selection submodule is used for selecting the sample microscopic image with the highest uniformity and the lowest porosity as the optimal sample microscopic image;
and the optimal index determining submodule is used for taking the component parameter index corresponding to the optimal sample microscopic image as the optimal component parameter index.
In an optional embodiment, the apparatus further comprises:
and the verification module is used for verifying whether the infrared temperature rise of the component test sample corresponding to the optimal component parameter index is lower than a preset temperature rise threshold value.
In an alternative embodiment, the compositional parameter index comprises: preparing white carbon black, aluminum hydroxide median particle size and gel content; the metric determination module 402 includes:
the component determination submodule is used for determining and distinguishing the silicon rubber white carbon black, the aluminum hydroxide and the raw rubber in each group of component test samples;
and the parameter index determining submodule is used for respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
An embodiment of the present invention further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method for designing a suspension composite insulator based on microstructure evaluation according to any one of the above embodiments.
The embodiment of the invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by the processor, the method for designing the suspension composite insulator based on the microstructure evaluation according to any one of the above embodiments is implemented.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for designing a suspension type composite insulator based on microstructure evaluation is characterized by comprising the following steps:
obtaining a preset group number of component test samples;
determining an index of a constituent parameter in each set of said constituent test samples;
adding an auxiliary additive for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples;
scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
traversing all the sample microscopic images, and determining the optimal sample microscopic image and the corresponding optimal component parameter index thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation.
2. The microstructure evaluation-based design method for a suspension composite insulator according to claim 1, wherein the step of traversing all the sample microscopic images to determine an optimal sample microscopic image and an optimal component parameter index corresponding thereto comprises:
measuring the uniformity and porosity of all the microscopic images of the sample in an electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixel points and the total number of the pixel points;
selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image;
and taking the component parameter index corresponding to the optimal sample microscopic image as an optimal component parameter index.
3. The microstructure evaluation-based design method for a suspension composite insulator according to claim 1, wherein after traversing all the sample microscopic images and determining the optimal sample microscopic images and the corresponding optimal component parameter indexes thereof, the method further comprises:
and verifying whether the infrared temperature rise of the component test sample corresponding to the optimal component parameter index is lower than a preset temperature rise threshold value.
4. The microstructure evaluation-based design method for a suspension composite insulator according to claim 1, wherein the composition parameter index includes: preparing white carbon black, aluminum hydroxide median particle size and gel content; determining an index of a constituent parameter in each set of said constituent test samples, comprising:
determining and distinguishing silicone rubber white carbon black, aluminum hydroxide and crude rubber in each group of component test samples;
and respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
5. A device for designing a suspension type composite insulator based on microstructure evaluation is characterized by comprising:
the acquisition module is used for acquiring the component test samples with preset groups;
an index determination module for determining component parameter indices in each set of the component test samples;
the sample determination module is used for adding auxiliary additives for mixing based on all the component parameter indexes to obtain rubber samples corresponding to the component test samples;
the scanning module is used for scanning the rubber sample through a scanning electron microscope to obtain a sample microscopic image corresponding to the rubber sample;
the optimal index determining module is used for traversing all the sample microscopic images and determining the optimal sample microscopic images and the corresponding optimal component parameter indexes thereof; the optimal component parameter index is the suspension type composite insulator design component combination based on microstructure evaluation.
6. The microstructure evaluation-based suspension composite insulator design apparatus according to claim 5, wherein the optimal index determination module includes:
the measurement submodule is used for measuring the uniformity and porosity of all the microscopic images of the sample in an electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixel points and the total number of the pixel points;
the selection submodule is used for selecting the sample microscopic image with the highest uniformity and the lowest porosity as the optimal sample microscopic image;
and the optimal index determining submodule is used for taking the component parameter index corresponding to the optimal sample microscopic image as the optimal component parameter index.
7. The microstructure evaluation based suspension composite insulator design arrangement of claim 5, further comprising:
and the verification module is used for verifying whether the infrared temperature rise of the component test sample corresponding to the optimal component parameter index is lower than a preset temperature rise threshold value.
8. The microstructure evaluation-based suspension composite insulator design device according to claim 5, wherein the composition parameter index includes: preparing white carbon black, aluminum hydroxide median particle size and gel content; the index determination module includes:
the component determination submodule is used for determining and distinguishing the silicon rubber white carbon black, the aluminum hydroxide and the raw rubber in each group of component test samples;
and the parameter index determining submodule is used for respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
9. An electronic device comprising a processor and a memory, the memory storing computer readable instructions that, when executed by the processor, perform the method of any of claims 1-4.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the method according to any of claims 1-4.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3324223A (en) * | 1965-09-20 | 1967-06-06 | Minnesota Mining & Mfg | Self-cleaning high tension insulator |
| JP2004335662A (en) * | 2003-05-06 | 2004-11-25 | Canon Inc | Component and method for manufacturing component |
| CN103558234A (en) * | 2013-10-21 | 2014-02-05 | 广东电网公司电力科学研究院 | Method for detecting ageing of composite insulator umbrella skirt |
| CN108563615A (en) * | 2018-04-09 | 2018-09-21 | 清华大学深圳研究生院 | The appraisal procedure of support insulator polyurethane hole bubble |
| CN110261405A (en) * | 2019-07-31 | 2019-09-20 | 西南交通大学 | Insulator contamination ingredient recognition methods based on micro- hyperspectral technique |
| CN110967602A (en) * | 2019-11-28 | 2020-04-07 | 南方电网科学研究院有限责任公司 | Composite insulator aging degree evaluation method, device, equipment and storage medium |
| CN112229813A (en) * | 2019-06-28 | 2021-01-15 | 华北电力大学（保定） | Comprehensive evaluation method for aging degree of umbrella skirt of composite insulator |
| KR20210033264A (en) * | 2019-09-18 | 2021-03-26 | 한국전력공사 | Method of deterioration judging for porcelain insulator |
-
2021
- 2021-12-06 CN CN202111481830.7A patent/CN114166881B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3324223A (en) * | 1965-09-20 | 1967-06-06 | Minnesota Mining & Mfg | Self-cleaning high tension insulator |
| JP2004335662A (en) * | 2003-05-06 | 2004-11-25 | Canon Inc | Component and method for manufacturing component |
| CN103558234A (en) * | 2013-10-21 | 2014-02-05 | 广东电网公司电力科学研究院 | Method for detecting ageing of composite insulator umbrella skirt |
| CN108563615A (en) * | 2018-04-09 | 2018-09-21 | 清华大学深圳研究生院 | The appraisal procedure of support insulator polyurethane hole bubble |
| CN112229813A (en) * | 2019-06-28 | 2021-01-15 | 华北电力大学（保定） | Comprehensive evaluation method for aging degree of umbrella skirt of composite insulator |
| CN110261405A (en) * | 2019-07-31 | 2019-09-20 | 西南交通大学 | Insulator contamination ingredient recognition methods based on micro- hyperspectral technique |
| KR20210033264A (en) * | 2019-09-18 | 2021-03-26 | 한국전력공사 | Method of deterioration judging for porcelain insulator |
| CN110967602A (en) * | 2019-11-28 | 2020-04-07 | 南方电网科学研究院有限责任公司 | Composite insulator aging degree evaluation method, device, equipment and storage medium |
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