CN114166881B - Design method of suspension type composite insulator based on microstructure evaluation - Google Patents
Design method of suspension type composite insulator based on microstructure evaluation Download PDFInfo
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- 239000012212 insulator Substances 0.000 title claims abstract description 82
- 239000002131 composite material Substances 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000011156 evaluation Methods 0.000 title claims abstract description 53
- 239000000725 suspension Substances 0.000 title claims abstract description 41
- 238000013461 design Methods 0.000 title claims abstract description 29
- 238000012360 testing method Methods 0.000 claims abstract description 62
- 229920001971 elastomer Polymers 0.000 claims abstract description 52
- 239000000654 additive Substances 0.000 claims abstract description 12
- 230000000996 additive effect Effects 0.000 claims abstract description 10
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 30
- WNROFYMDJYEPJX-UHFFFAOYSA-K aluminium hydroxide Chemical compound [OH-].[OH-].[OH-].[Al+3] WNROFYMDJYEPJX-UHFFFAOYSA-K 0.000 claims description 28
- 239000006229 carbon black Substances 0.000 claims description 25
- 229920002379 silicone rubber Polymers 0.000 claims description 20
- 239000002245 particle Substances 0.000 claims description 15
- 239000011148 porous material Substances 0.000 claims description 12
- 238000002360 preparation method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 6
- 239000003292 glue Substances 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 3
- 239000004615 ingredient Substances 0.000 description 9
- 238000010438 heat treatment Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229910021485 fumed silica Inorganic materials 0.000 description 2
- 238000009413 insulation Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000000203 mixture Substances 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
- 238000002835 absorbance Methods 0.000 description 1
- 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
- 230000006870 function Effects 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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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
- G01N23/225—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
- G01N23/2251—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 using incident electron beams, e.g. scanning electron microscopy [SEM]
-
- 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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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
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Abstract
The invention discloses a design method of a suspension type composite insulator based on microstructure evaluation, which comprises the following steps: obtaining a preset number of component test samples; determining component parameter indicators in each group of the component test samples; based on all the component parameter indexes, adding an auxiliary additive for mixing to obtain a rubber sample corresponding to the component test sample; 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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation. The method is used for designing a novel composite insulator with wet heat resistance and solves the problem that the existing composite insulator generates heat in a large area.
Description
Technical Field
The invention relates to the field of structure detection, in particular to a design method of a suspension type composite insulator based on microstructure evaluation.
Background
Composite insulators are widely used in power systems from the 80 s of the 20 th century in China, and the conditions of large-area abnormal heating of the composite insulators often occur along with the increase of the running time and the complicacy of the running environment although the composite insulators have the advantages of high strength, light weight, high pollution flashover and the like.
The existing research shows that the abnormal heating of the high-voltage end part of the composite insulator is mainly caused by polarized heating caused by the fact that the composite insulator absorbs moisture. The silicon rubber composite insulators with different silicon rubber material microstructures have different water absorbances, and the polarization heating degrees after water absorption are also different, so that the silicon rubber composite insulator has important significance in inhibiting abnormal heating conditions of the composite insulators.
At present, methods of changing components, adding additives and the like are mostly adopted for the composite insulator to improve the leakage-resistant electromechanical performance of the silicon rubber, so that new composite insulation is obtained, but a design method of the composite insulator which is resistant to wet heat environment and free from abnormal heating is lacking at present.
Disclosure of Invention
The invention provides a design method of a suspension type composite insulator based on microstructure evaluation, which is used for designing a novel composite insulator with wet heat resistance and solves the problem that the existing composite insulator generates heat in a large area.
In a first aspect, the present invention provides a method for designing a suspension composite insulator based on microstructure evaluation, including:
obtaining a preset number of component test samples;
determining component parameter indicators in each group of the component test samples;
based on all the component parameter indexes, adding an auxiliary additive for mixing to obtain a rubber sample corresponding to the component test sample;
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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; and the optimal component parameter index is a 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 the 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 pixels and the total number of pixels;
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 the optimal sample microscopic images and the corresponding optimal component parameter indexes, 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 ingredient parameter index includes: the preparation method of the white carbon black, the median particle diameter of aluminum hydroxide and the content of glue; determining a component parameter indicator in each set of said component test samples, comprising:
determining and distinguishing silicon rubber white carbon black, aluminum hydroxide and raw rubber in each group of the component test samples;
And respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the aluminum hydroxide 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 present invention also discloses a suspension type composite insulator design device based on microstructure evaluation, comprising:
the acquisition module is used for acquiring a preset number of component test samples;
the index determining module is used for determining component parameter indexes in each group of the component test samples;
The sample determining module is used for adding an auxiliary additive for mixing based on all the component parameter indexes to obtain a rubber sample corresponding to the component test sample;
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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation.
Optionally, the optimal index determining module includes:
The measuring submodule is used for measuring the uniformity and the porosity of all the microscopic images of the sample in the electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixels and the total number of pixels;
The selecting sub-module is used for selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image;
And the optimal index determination submodule is used for taking the component parameter index corresponding to the optimal sample microscopic image as an 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 ingredient parameter index includes: the preparation method of the white carbon black, the median particle diameter of aluminum hydroxide and the content of glue; the index determination module comprises:
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 determination submodule is used for respectively determining the white carbon black preparation method of the silicon rubber white carbon black, the aluminum hydroxide 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 application provides an electronic device comprising a processor and a memory storing computer readable instructions which, when executed by the processor, perform the steps of the method as provided in the first aspect above.
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.
From the above technical scheme, the invention has the following advantages:
The invention obtains the component test samples with preset groups; determining component parameter indicators in each group of the component test samples; based on all the component parameter indexes, adding an auxiliary additive for mixing to obtain a rubber sample corresponding to the component test sample; 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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation. The method comprises the steps of adopting the same process to test the composite insulator based on different component parameter indexes, carrying out microstructure analysis on each different silicon rubber by using a microstructure evaluation method under the same environment, and determining the optimal component parameter index according to an analysis result, namely determining the design component combination of the suspension composite insulator based on microstructure evaluation. The method is used for designing a novel composite insulator with wet heat resistance and solves the problem that the existing composite insulator generates heat in a large area.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of steps of a first embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 2 is a flow chart illustrating steps of a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 3 is a microstructure image of sample 1 in a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 4 is a microstructure image of sample 2 in a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 5 is a microstructure image of sample 3 in a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 6 is a microstructure image of sample 4 in example two of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 7 is a microstructure image of sample 5 in a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 8 is an infrared temperature rise of sample 1 and sample 2 in a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 9 is an infrared temperature rise of sample 3 in example two of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
FIG. 10 shows the infrared temperature rise of sample 4 and sample 5 in a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention;
Fig. 11 is a block diagram of an embodiment of a suspension type composite insulator design apparatus based on microstructure evaluation according to the present invention.
Detailed Description
The embodiment of the invention provides a design method of a suspension type composite insulator based on microstructure evaluation, which is used for designing a novel composite insulator with wet heat resistance and solves the problem that the existing composite insulator generates heat in a large area.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for designing a suspended composite insulator based on microstructure evaluation according to an embodiment of the present invention, and the method specifically includes the following steps:
step S101, obtaining a preset number of component test samples;
step S102, determining ingredient parameter indexes in each group of ingredient test samples;
step S103, adding an auxiliary additive for mixing based on all the component parameter indexes to obtain a rubber sample corresponding to the component test sample;
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; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation.
In the embodiment of the invention, the component test samples with preset groups are obtained; determining component parameter indicators in each group of the component test samples; based on all the component parameter indexes, adding an auxiliary additive for mixing to obtain a rubber sample corresponding to the component test sample; 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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation. The method comprises the steps of adopting the same process to test the composite insulator based on different component parameter indexes, carrying out microstructure analysis on each different silicon rubber by using a microstructure evaluation method under the same environment, and determining the optimal component parameter index according to an analysis result, namely determining the design component combination of the suspension composite insulator based on microstructure evaluation. The method is used for designing a novel composite insulator with wet heat resistance and solves the problem that the existing composite insulator generates heat in a large area.
Referring to fig. 2, a flow chart of steps of a second embodiment of a method for designing a suspension type composite insulator based on microstructure evaluation according to the present invention is shown, and the method specifically includes the following steps:
Step S201, obtaining a preset number of groups of component test samples;
The insulator is a special insulation control and can play an important role in overhead transmission lines. The insulator is usually made of silica gel or ceramic, and the microstructure evaluation method of the material of the insulator is aimed at a composite insulator made of silica gel.
It should be noted that the structure of the composite insulator includes: the metal fitting, the core rod, the sheath, the equalizing ring and the umbrella skirts. The composite insulator test sample is respectively selected from umbrella skirts of load insulators of a high-voltage section, a middle section and a low-voltage section of a power line.
In the examples of the present invention, 5 sets of component test samples having different component compositions were obtained.
Step S202, determining and distinguishing the ingredient parameter indexes, namely silicon rubber white carbon black, aluminum hydroxide and raw rubber, in each group of ingredient test samples;
step S203, respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the aluminum hydroxide 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, as long as the components of the component test sample are silicon rubber white carbon black, aluminum hydroxide and raw rubber, the component parameter indexes in all the component test samples need to be determined and recorded. Wherein, the ingredient parameter index includes: the preparation method of the white carbon black, the particle size of the aluminum hydroxide and the content of the glue are shown as follows, wherein the specific ingredient parameter indexes of each ingredient test sample are as follows:
Wherein "2.5+6 mixture" in the table, i.e., aluminum hydroxide having particle sizes of 2.5 μm and 6 μm was present in the component test samples.
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 the porosity of all the microscopic images of the sample in the electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixels and the total number of pixels;
In the embodiment of the invention, the size of an electronic observation area of the 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 the porosity of the sample microscopic image, wherein the porosity is determined by the number of empty and silent pore pixel points and the total number of the pixel points.
In a special case, the gray value can be used as a judgment basis, and the region formed by the pixels with the gray value in the interval [0, 100] is defined as a pore pixel region; the region composed of pixels having gray values in the interval [101, 255] is defined as the other pixel region. And counting the number of the pore pixels and the number of other pixels, and summing the number of the pore pixels and the number of other pixels to obtain the total number of the pixels, wherein the ratio of the number of the pore pixels to the number of the pore pixels and the number of other pixels is used 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 image of a sample 1 in a second embodiment of a method for designing a suspended composite insulator based on microstructure evaluation according to the present invention, fig. 4 is a microstructure image of a sample 2 in a second embodiment of a method for designing a suspended composite insulator based on microstructure evaluation according to the present invention, fig. 5 is a microstructure image of a sample 3 in a second embodiment of a method for designing a suspended composite insulator based on microstructure evaluation according to the present invention, fig. 6 is a microstructure image of a sample 4 in a second embodiment of a method for designing a suspended composite insulator based on microstructure evaluation according to the present invention, and fig. 7 is a microstructure image of a sample 5 in a second embodiment of a method for designing a suspended composite insulator based on microstructure evaluation according to the present invention, it can be seen that the porosity of a sample enclosure image of a sample 3 is the lowest, and the uniformity of a sample 5 is the highest, thus defining the sample 3 and the sample 5-position optimum sample enclosure image.
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 sample 3 and the sample 5 are the optimal component parameter indexes, that is, the optimal component parameter indexes are: "fumed silica, aluminum hydroxide having a median particle size of 2.5 μm and a gum content of 37%" and "fumed silica, aluminum hydroxide having a median particle size of 2.5 μm+6 μm, and a gum content of 42%".
Step 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.
Referring to fig. 8 to 10, fig. 8 shows the infrared temperature rise results of the sample 1 and the sample 2 in the second embodiment of the suspension type composite insulator design method based on microstructure evaluation according to the present invention, fig. 9 shows the infrared temperature rise results of the sample 3 in the second embodiment of the suspension type composite insulator design method based on microstructure evaluation according to the present invention, and fig. 10 shows the infrared temperature rise results of the sample 4 and the sample 5 in the second embodiment of the suspension type composite insulator design method based on microstructure evaluation according to the present invention, 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, the infrared temperature rise result of the component test sample corresponding to the optimal component parameter index is lower than 1K, and the suspension composite insulator designed based on the optimal component parameter index has better effect.
In the embodiment of the invention, the component test samples with preset groups are obtained; determining component parameter indicators in each group of the component test samples; based on all the component parameter indexes, adding an auxiliary additive for mixing to obtain a rubber sample corresponding to the component test sample; 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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation. The method comprises the steps of adopting the same process to test the composite insulator based on different component parameter indexes, carrying out microstructure analysis on each different silicon rubber by using a microstructure evaluation method under the same environment, and determining the optimal component parameter index according to an analysis result, namely determining the design component combination of the suspension composite insulator based on microstructure evaluation. The method is used for designing a novel composite insulator with wet heat resistance and solves the problem that the existing 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, comprising the following modules:
an acquisition module 401, configured to acquire a preset number of groups of component test samples;
an index determination module 402 for determining an index of a component parameter in each set of the component test samples;
The sample determining module 403 is configured to add an auxiliary additive for mixing based on all the component parameter indexes to obtain a rubber sample corresponding to the component test sample;
The scanning module 404 is configured to scan the rubber sample by using a scanning electron microscope, so as to obtain a sample microscopic image corresponding to the rubber sample;
The optimal index determining module 405 is 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; and the optimal component parameter index is a suspension type composite insulator design component combination based on microstructure evaluation.
In an alternative embodiment, the optimal index determining module 405 includes:
The measuring submodule is used for measuring the uniformity and the porosity of all the microscopic images of the sample in the electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixels and the total number of pixels;
The selecting sub-module is used for selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image;
And the optimal index determination submodule is used for taking the component parameter index corresponding to the optimal sample microscopic image as an optimal component parameter index.
In an alternative 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 component parameter indicator includes: the preparation method of the white carbon black, the median particle diameter of aluminum hydroxide and the content of glue; the index 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 determination submodule is used for respectively determining the white carbon black preparation method of the silicon rubber white carbon black, the aluminum hydroxide particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
The embodiment of the invention also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program, and the computer program when executed by the processor causes the processor to execute the steps of the method for designing the suspended composite insulator based on microstructure evaluation according to any embodiment.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, the computer program, when executed by the processor, realizes the method for designing the suspension type composite insulator based on microstructure evaluation according to any embodiment.
It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the apparatus described above, which is not described herein again.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. The design method of the suspension type composite insulator based on microstructure evaluation is characterized by comprising the following steps of:
obtaining a preset number of component test samples;
determining component parameter indicators in each group of the component test samples;
based on all the component parameter indexes, adding an auxiliary additive for mixing to obtain a rubber sample corresponding to the component test sample;
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 to determine an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image, wherein the method comprises the following steps of: measuring the uniformity and the 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 pixels and the total number of pixels; selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image; taking the component parameter index corresponding to the optimal sample microscopic image as an optimal component parameter index; the optimal component parameter index is a suspension composite insulator design component combination based on microstructure evaluation;
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.
2. The method for designing a suspended composite insulator based on microstructure evaluation as claimed in claim 1, wherein the component parameter index comprises: the preparation method of the white carbon black, the median particle diameter of aluminum hydroxide and the content of glue; determining a component parameter indicator in each set of said component test samples, comprising:
determining and distinguishing silicon rubber white carbon black, aluminum hydroxide and raw rubber in each group of the component test samples;
And respectively determining the preparation method of the white carbon black of the silicon rubber white carbon black, the aluminum hydroxide particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
3. A suspension composite insulator design device based on microstructure evaluation, comprising:
the acquisition module is used for acquiring a preset number of component test samples;
the index determining module is used for determining component parameter indexes in each group of the component test samples;
The sample determining module is used for adding an auxiliary additive for mixing based on all the component parameter indexes to obtain a rubber sample corresponding to the component test sample;
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 an optimal sample microscopic image and an optimal component parameter index corresponding to the optimal sample microscopic image; the optimal component parameter index is a suspension composite insulator design component combination based on microstructure evaluation;
wherein, the optimal index determining module comprises: the measuring submodule is used for measuring the uniformity and the porosity of all the microscopic images of the sample in the electronic observation area of the scanning electron microscope; the porosity is determined by counting the number of pore pixels and the total number of pixels; the selecting sub-module is used for selecting the sample microscopic image with highest uniformity and lowest porosity as the optimal sample microscopic image; the optimal index determination submodule is used for taking the component parameter index corresponding to the optimal sample microscopic image as an optimal component parameter index;
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.
4. A suspended composite insulator design device based on microstructure evaluation as claimed in claim 3, wherein the component parameter index comprises: the preparation method of the white carbon black, the median particle diameter of aluminum hydroxide and the content of glue; the index determination module comprises:
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 determination submodule is used for respectively determining the white carbon black preparation method of the silicon rubber white carbon black, the aluminum hydroxide particle size of the aluminum hydroxide and the rubber content of the raw rubber in all the component test samples.
5. An electronic device comprising a processor and a memory storing computer readable instructions that, when executed by the processor, perform the method of any of claims 1-2.
6. A storage medium having stored thereon a computer program which, when executed by a processor, performs the method of any of claims 1-2.
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| 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 |
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| 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 |
| 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 |
| CN110261405B (en) * | 2019-07-31 | 2021-06-22 | 西南交通大学 | Insulator pollution component identification method based on microscopic hyperspectral technology |
| KR20210033264A (en) * | 2019-09-18 | 2021-03-26 | 한국전력공사 | Method of deterioration judging for porcelain insulator |
| CN110967602B (en) * | 2019-11-28 | 2021-08-13 | 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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| 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 |
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