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CN118209831B - Intelligent test method and system for electric insulation rubber glove - Google Patents

Intelligent test method and system for electric insulation rubber glove Download PDF

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Publication number
CN118209831B
CN118209831B CN202410627718.7A CN202410627718A CN118209831B CN 118209831 B CN118209831 B CN 118209831B CN 202410627718 A CN202410627718 A CN 202410627718A CN 118209831 B CN118209831 B CN 118209831B
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glove
test
historical
detection parameter
time sequence
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CN118209831A (en
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陆大伟
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Zhangjiagang Dayu Rubber Products Co ltd
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Zhangjiagang Dayu Rubber Products Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing 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
    • G01R31/1227Testing 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 of components, parts or materials
    • G01R31/1263Testing 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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing 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
    • G01R31/16Construction of testing vessels; Electrodes therefor

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)

Abstract

The application discloses an intelligent test method and system for an electric insulation rubber glove, belonging to the field of insulation glove test, wherein the method comprises the following steps: traversing in an electrically insulating rubber glove database based on first glove characteristic information of a first glove to obtain a first pretreatment scheme; arranging the first glove into the test barrel container according to a first pretreatment scheme; generating a first clamping contact scheme according to a first wrist diameter parameter of the first glove in the first glove characteristic information; switching on a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove; analyzing the first detection parameter time sequence to obtain a first electrical insulation performance index; and visually displaying a first test result of the first glove obtained by weighting the first electrical insulation performance index. The application solves the technical problems of the prior art that the test efficiency of the electric insulation rubber glove is low and the test process is not intelligent, and achieves the technical effects of improving the test efficiency of the electric insulation rubber glove and realizing the intellectualization of the test process.

Description

Intelligent test method and system for electric insulation rubber glove
Technical Field
The invention relates to the field of insulating glove testing, in particular to an intelligent testing method and system for an electric insulating rubber glove.
Background
During power operations, operators need to wear insulation equipment meeting safety standards, wherein electrically insulating rubber gloves are one of the key personal protective equipment. The insulating performance of the electrically insulating rubber glove is directly related to the safety of operators, so that strict and reliable performance test of the electrically insulating rubber glove is important. At present, an automatic mode is mainly adopted for testing the electric insulation rubber glove, the electric insulation rubber glove is placed into a testing device through setting fixed parameters and connected with electrodes, and the insulation performance parameters of the glove are measured under different voltages. The test mode lacks an intelligent means, is difficult to meet the performance test requirements of the electric insulation rubber gloves of different types, and is required to manually set different test parameters for the different electric insulation rubber gloves, and the test parameters are continuously adjusted in the test process, so that the test efficiency of the electric insulation rubber gloves is low.
Disclosure of Invention
The application provides an intelligent test method and an intelligent test system for an electric insulation rubber glove, and aims to solve the technical problems that in the prior art, the test efficiency and the test process of the electric insulation rubber glove are lack of intelligence.
In view of the above problems, the application provides an intelligent test method and system for an electrically insulating rubber glove.
In a first aspect of the present disclosure, an intelligent test method for an electrically insulating rubber glove is provided, the method comprising: traversing in an electrically insulating rubber glove database based on first glove characteristic information of a first glove to obtain a first pretreatment scheme; arranging the first glove into the test barrel container according to a first pretreatment scheme; generating a first clamping contact scheme according to a first glove wrist diameter parameter in the first glove characteristic information, wherein the first clamping contact scheme is used for controlling a high-voltage electrode clamp to clamp a first glove in a test barrel container; switching on a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, wherein the first electrical insulation performance detection parameter time sequence comprises a plurality of detection parameter time sequences under the constraint of a plurality of test power supplies; analyzing a first detection parameter time sequence according to the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, wherein the first detection parameter time sequence is any one of a plurality of detection parameter time sequences; and visually displaying a first test result of the first glove obtained by weighting the first electrical insulation performance index.
In another aspect of the present disclosure, an intelligent test system for an electrically insulating rubber glove is provided, the system comprising: the processing scheme acquisition module is used for traversing in the electric insulation rubber glove database based on the first glove characteristic information of the first glove to obtain a first preprocessing scheme; the glove layout module is used for laying the first glove into the test barrel container according to the first pretreatment scheme; the clamping scheme generating module is used for generating a first clamping contact scheme according to the first wrist diameter parameter of the first glove in the first glove characteristic information, and the first clamping contact scheme is used for controlling the high-voltage electrode clamp to clamp the first glove in the test barrel container; the insulation detection module is used for switching on the high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, wherein the first electrical insulation performance detection parameter time sequence comprises a plurality of detection parameter time sequences under the constraint of a plurality of test power supplies; the insulation performance acquisition module is used for analyzing the first detection parameter time sequence by combining the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, wherein the first detection parameter time sequence is any one of a plurality of detection parameter time sequences; and the test result display module is used for visually displaying the first test result of the first glove obtained by weighting the first electrical insulation performance index.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
The first glove characteristic information based on the first glove is adopted to traverse in the electric insulation rubber glove database to obtain a first preprocessing scheme, and the optimal preprocessing scheme is rapidly obtained through intelligent searching in the database, so that the test preparation efficiency is improved; according to the first pretreatment scheme, arranging the first gloves into a test barrel container, automatically completing glove placement, and reducing manual operation steps; generating a first clamping contact scheme according to the first glove wrist diameter parameters in the first glove characteristic information, generating personalized clamping schemes aiming at different gloves, ensuring accurate clamping positions and improving test reliability; switching on a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, comprehensively collecting detection parameters of the glove under different test conditions, and providing sufficient data for subsequent analysis; analyzing the first detection parameter time sequence by combining the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, and improving the precision of the current test result; the technical scheme is that the first test result of the first glove obtained by weighting the first electrical insulation performance index is visually displayed, the test result is visually presented, and the glove performance quality can be conveniently and rapidly judged, the technical problems that in the prior art, the test efficiency of the electrical insulation rubber glove is high, and the test process is lack of intelligence are solved, and the technical effects of improving the test efficiency of the electrical insulation rubber glove and realizing the intelligence of the test process are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of an intelligent test method for an electrically insulating rubber glove according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of constructing an electric insulation rubber glove database in an intelligent test method of an electric insulation rubber glove according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an intelligent test system for an electrically insulating rubber glove according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a processing scheme acquisition module 11, a glove layout module 12, a clamping scheme generation module 13, an insulation detection module 14, an insulation performance acquisition module 15 and a test result display module 16.
Detailed Description
The technical scheme provided by the application has the following overall thought:
The embodiment of the application provides an intelligent test method and system for an electric insulation rubber glove. By introducing a database technology, an intelligent control technology, a big data analysis technology and a visualization technology in the test process, the automation and optimization of the test flow are realized, so that the aims of improving the test and intelligent level of the electric insulation rubber glove are fulfilled.
Specifically, firstly, based on characteristic information of the glove to be tested, a pretreatment and clamping contact scheme is intelligently searched in a special electric insulation rubber glove database, so that automatic completion of preparation work before testing is realized. Then, in the testing process, the performance parameters of the glove under different testing conditions are comprehensively acquired by switching on the high-voltage power supply, and massive testing data are processed by using a big data analysis technology, so that accurate glove performance indexes are obtained. Finally, the visual technology is utilized to intuitively display the test result, so that the glove performance can be conveniently and rapidly evaluated.
By comprehensively using the technical means, the intelligent upgrading of the whole testing process of the electric insulation rubber glove is realized, and the testing precision and reliability are ensured while the testing efficiency is improved.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent test method for an electrically insulating rubber glove, which includes:
s1: traversing in an electrically insulating rubber glove database based on first glove characteristic information of a first glove to obtain a first pretreatment scheme;
In an embodiment of the application, the first glove refers to an electrically insulating rubber glove sample to be tested. The first glove characteristic information is a detailed characteristic of the first glove including, but not limited to, size, material, thickness, etc. of the first glove. Wherein, the size comprises the length, width, circumference of palm, wrist diameter and the like of the glove; the materials comprise natural rubber, synthetic rubber and the like; the thickness includes thickness parameters for each portion of the glove.
In a pre-established database of electrically insulating rubber gloves, a large number of historical test data of gloves of different types and different materials are stored. These historical test data include pretreatment schemes employed at each test, test results, and the like. And matching the first glove characteristic information of the first glove with the historical test data in the electric insulation rubber glove database by adopting a K neighbor algorithm, a similarity algorithm and the like, and screening out the historical test records similar to or the same as the first glove characteristic. And extracting and analyzing the matched historical test records to obtain statistical rules of pretreatment parameters adopted in the records, such as the water injection quantity in the glove, the exposed water surface height and the like. Next, a first pretreatment regimen for the first glove is generated based on the obtained pretreatment parameters. The first pretreatment scheme prescribes pretreatment parameters such as optimal internal water injection quantity, exposed water surface height and the like of the first glove in the subsequent test. The first glove is processed by adopting the first pretreatment scheme, so that individual difference of the glove can be effectively eliminated, and the test accuracy is improved.
The database is used for automatically and efficiently matching the optimal pretreatment scheme for the first glove according to the first glove characteristic information of the first glove, so that a complex manual judgment process in the prior art is replaced, and the test efficiency is improved.
S2: laying the first glove into a test bucket container according to the first pretreatment scheme;
In an embodiment of the application, after the first pretreatment regimen is determined, the first glove is automatically placed in a dedicated test bucket container according to the instructions of the first pretreatment regimen. The test barrel container is cylindrical, and parameters such as the inner diameter, the height and the like of the test barrel container are preset according to the size of the first glove to be tested.
When automatically placing the first glove, the requirements of the first pretreatment regimen need to be strictly followed. Firstly, the water injection device is controlled to inject a specified volume of clean water into the test barrel container, and the water level is consistent with the water injection height of the container specified in the first pretreatment scheme. Then, according to the first pretreatment scheme, the first glove is vertically inserted into water by a robot arm, and the position thereof is adjusted so that the glove port portion is exposed to the water surface, for example, so that the height of the exposed first glove to the water surface is 90mm. Meanwhile, in the process of adjusting the glove position, the mechanical arm monitors through the sensor, so that the glove exposed out of the water surface is ensured to be kept dry and clean, and the influence of moisture or stains on the subsequent test is avoided.
The first gloves are distributed into the test barrel container according to the first pretreatment scheme, so that the self-adaptive standardized distribution of the first gloves is completed, randomness and uncertainty in the fixed distribution process are eliminated, the accuracy of test results is guaranteed, and reliable initial conditions are provided for subsequent power-on tests.
S3: generating a first clamping contact scheme according to a first wrist diameter parameter of the first glove in the first glove characteristic information, wherein the first clamping contact scheme is used for controlling a high-voltage electrode clamp to clamp the first glove in the test barrel container;
In the implementation of the application, the first glove characteristic information comprises the wrist diameter parameter of the first glove, which is recorded as the first glove wrist diameter parameter. The first wrist diameter parameter refers to the size of the circumference of the first wrist, and is related to the model, the size and the like of the glove. In the electrical insulation performance test, the high-voltage electrode clamp needs to form reliable clamping and electrical contact with the wrist of the first glove, so that a clamping contact scheme needs to be formulated according to the wrist diameter parameters of the glove.
And after the first wrist path parameter is extracted from the first wrist characteristic information, automatically generating a first clamping contact scheme matched with the first wrist path parameter according to the first wrist path parameter. Specifically, firstly, a corresponding relation table of wrist diameter parameters and clamping parameters is established in advance, and the table summarizes optimal clamping parameter settings of the glove in different wrist diameter ranges through a large number of experiments and statistical analysis, wherein the optimal clamping parameter settings comprise the model, clamping position, clamping force, electrode contact area and the like of the high-voltage electrode clamp. And then, comparing the wrist diameter parameters of the first glove with the established corresponding relation table, finding out the range of the wrist diameter, and extracting the optimal clamping parameter setting in the range. And then, automatically generating a complete first clamping contact scheme according to a preset format and structure by looking up the obtained optimal clamping parameters. The first clamping contact scheme comprises the selection, clamping position, clamping force, electrode contact area and the like of the high-voltage electrode clamp.
After the first clamping contact scheme is generated, the selected high-voltage electrode clamp is controlled to automatically execute the scheme, and the first sleeve which is arranged in the test barrel container in a preprocessing mode is clamped. When the high-voltage electrode clamp performs clamping operation, parameters such as clamping position, clamping force, electrode contact area and the like strictly regulated according to a first clamping contact scheme are performed, and standardization and consistency of clamping contact are ensured.
By means of the generation and execution of the first clamping contact scheme, optimal matching and reliable connection of the high-voltage electrode clamp and the first glove are achieved, necessary hardware basis is provided for subsequent power-on tests, and standardization of the test process and reliability of test results are improved.
S4: switching on a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, wherein the first electrical insulation performance detection parameter time sequence comprises a plurality of detection parameter time sequences under the constraint of a plurality of test power supplies;
in the embodiment of the application, after the clamping of the high-voltage electrode clamp to the first glove is completed, the power-on test is started. Firstly, switching on a high-voltage power supply, and applying high-voltage voltages of different grades to a first glove according to a preset test voltage sequence. The test voltage sequence is usually a plurality of voltage values which are stepped up in order to fully examine the electrical insulation properties of the first glove at different voltage levels.
Under the action of each test voltage, the electrical insulation performance parameters of the first glove are detected in real time, and the time sequence of the parameter value changing along with time is recorded. The electrical insulation performance parameters comprise a plurality of indexes such as insulation resistance, dielectric loss and leakage current, so that the insulation performance of the first glove is comprehensively reflected.
For each test power supply, a complete detection parameter time sequence is obtained by continuously collecting the electrical insulation performance parameter values of the first glove within a certain period of time. The time sequence reflects the dynamic change process of the electrical insulation performance parameter of the first glove under the current test voltage.
Under the action of the whole test voltage sequence, a plurality of detection parameter time sequences under a plurality of test voltage constraints can be obtained. Each test voltage corresponds to a time sequence of a detection parameter, and the time sequences under different test voltages are mutually independent.
And arranging and combining the detection parameter time sequences under all the test voltages according to the time sequence and the voltage magnitude to obtain a first electrical insulation performance detection parameter time sequence. The first electrical insulation performance detection parameter time sequence comprehensively records the electrical insulation performance change condition of the first glove in the whole test process.
The first electrical insulation performance detection parameter time sequence is acquired, so that a complete and reliable original data basis is provided for subsequent data analysis and insulation performance evaluation, and the insulation performance of the first glove is accurately judged.
S5: analyzing a first detection parameter time sequence according to the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, wherein the first detection parameter time sequence is any one of the detection parameter time sequences;
in the embodiment of the application, the obtained first electrical insulation performance detection parameter time sequence comprises a plurality of independent detection parameter time sequences, and each detection parameter time sequence corresponds to a corresponding test voltage under a specific test power supply constraint.
In order to comprehensively evaluate the electrical insulation performance of the first glove, each detection parameter time sequence in the first electrical insulation performance detection parameter time sequence is analyzed in detail. First, any one of a plurality of detection parameter timings is selected as a first detection parameter timing. Then, raw historical test records similar to the first glove characteristic information are extracted from the database of electrically insulating rubber gloves, wherein the raw historical test records comprise test data and results of a large number of gloves of the same type.
And then, carrying out preprocessing such as cleaning and screening on the original historical test records, removing obvious abnormal values and invalid data, ensuring the integrity and accuracy of the data, obtaining a preprocessed historical test record, and extracting the test values of all the detection parameters from the preprocessed historical test record. Meanwhile, for each detection parameter, according to the historical data, an expert group determines a standard value under ideal conditions and reflects the theoretical value range of the detection parameter under normal conditions. And then, comparing the test value of each detection parameter with a corresponding standard value, and calculating the error size of the test value to obtain an error analysis result. Wherein the error may be expressed in absolute, relative, or percent, etc. And then, according to the error analysis result, obtaining the historical test precision of each detection parameter. For example, for each detection parameter, calculating an arithmetic average value of all the test errors of the detection parameter, and reflecting the average deviation degree of the test value and the standard value as the historical test precision of the detection parameter; or calculating standard deviation of the test error, wherein the standard deviation is used as historical test precision of the detection parameter, represents the discrete degree of the test value and reflects the fluctuation range of the test value; or calculating the ratio of the test value in the allowable range of the standard value, and reflecting the accuracy of the test as the historical test accuracy of the detection parameters. The obtained historical test precision reflects the reliability and stability of the detection parameters in actual tests.
And then, dividing the first detection parameter time sequence according to the change point of the test voltage to obtain a plurality of sub-time sequences, wherein each sub-time sequence corresponds to a stable test voltage. And extracting key characteristic indexes such as mean value, variance, peak value, rising time and the like from each sub-time sequence, and quantitatively describing the overall characteristics and change rule of the sub-time sequence. And then, comparing the characteristic index of each sub-time sequence with the historical test precision corresponding to the corresponding test voltage and the detection parameter, and judging whether the precision of the current test meets the historical test precision. And determining that the precision of the current test is lower than the precision of the historical test as an abnormal sub-time sequence in the current test. And then, comprehensively considering the accuracy check sum abnormal recognition results of all the sub-time sequences, and evaluating the overall quality of the first detection parameter time sequence to obtain a reliability evaluation result. The evaluation index includes qualification rate, anomaly rate, confidence, etc. The qualification rate is the proportion passing the precision check in all the sub-time sequences; the anomaly rate is a proportion of the anomaly identified in all sub-timings; and the confidence coefficient is obtained by comprehensively considering the qualification rate and the abnormality rate, and the reliability of the time sequence of the first detection parameter is qualitatively or quantitatively evaluated.
Then, according to the reliability evaluation result, whether the first detection parameter time sequence is acceptable or not is judged. If the reliability evaluation result meets the threshold condition preset by the expert group, the test precision of the first detection parameter time sequence is considered to be in accordance with the requirement, and the method can be used for calculating the electrical insulation performance index; otherwise, retest or problem investigation is needed, and retest is carried out on the first detection parameter time sequence which does not meet the requirement until the reliability evaluation result meets the preset threshold condition.
Then, a scoring rule is designed for each detection parameter by an expert group, and the actual value of each detection parameter is mapped into a score of 0-100. The higher the score, the better the performance of the test parameter, the more advantageous the electrical insulation properties. And then comprehensively scoring the first detection parameter time sequence with the test precision meeting the requirement according to a designed scoring rule, and distributing different weight coefficients to each detection parameter in consideration of different influence degrees of different detection parameters on the electrical insulation performance. The larger the weight coefficient is, the more important the detection index is, and the higher the duty ratio in the overall performance index is. And multiplying the score of each detection parameter by the weight coefficient of the detection parameter, and summing all the products to obtain a comprehensive electrical insulation performance index which is used as a first electrical insulation performance index corresponding to the first detection parameter time sequence.
And processing the rest of the detection parameter time sequences according to the mode of obtaining the first electrical insulation performance index according to the first detection parameter time sequences, so as to obtain electrical insulation performance indexes corresponding to the detection parameter time sequences.
By introducing a reference standard of historical test precision and respectively carrying out multidimensional analysis on a plurality of detection parameter time sequences, a quantized first electrical insulation performance index is obtained, and a reliable basis is provided for judging the electrical insulation performance of the glove. Meanwhile, abnormal conditions in the test process can be found through independent analysis of single detection parameter time sequence, and support is provided for control of test quality.
S6: and visually displaying a first test result of the first glove obtained by weighting the first electrical insulation performance index.
In the embodiment of the application, the obtained first electrical insulation performance indexes are generated by first detection parameter time sequences of which the reliability evaluation results meet the preset threshold condition.
And respectively carrying out weight assignment on all the obtained first electrical insulation performance indexes according to the reliability evaluation result of the first detection parameters, and carrying out weighting treatment on all the first electrical insulation performance indexes according to the assignment result, thereby obtaining an electrical insulation performance test result aiming at the first glove, and marking the electrical insulation performance test result as a first test result.
In order to make the test result more visual and understandable, the performance condition of the first glove can be conveniently and quickly known, and the first test result is visually processed and displayed. For example, using a dashboard display, i.e., mapping the first test result onto a circular dashboard, the pointer position indicating the current performance level, different index intervals corresponding to different colors, such as red-yellow-green, visually representing the performance level; or using a rating icon for displaying, namely, giving corresponding rating such as excellent, good, qualified, unqualified and the like according to the first test result, and using corresponding icons or star-class to represent, thereby being convenient for quickly judging the grade of the insulating performance of the glove.
Preferably, when visual display of the first test result is given, the first electrical insulation performance index corresponding to multiple tests is drawn into a trend curve according to the increasing sequence of the test voltage, and the change trend of the glove insulation performance along with the voltage is visually displayed, so that the change state of the glove insulation performance under the voltage is conveniently found.
Preferably, the first test result of the first glove is ranked and compared with indexes of other gloves in the same batch and same type, and the relative performance level of the first glove in similar products is intuitively known through displaying in the forms of a histogram, a bar chart and the like.
The first test result of the first glove is converted into visual graphics and images through a visualization technology, so that the electrical insulation performance of the glove can be conveniently and rapidly understood and judged, and the readability and practicality of the test result are improved. Meanwhile, visual display also provides visual data support for performance trend analysis and quality management decision-making.
And then, carrying out preprocessing such as cleaning and screening on the original historical test records, removing obvious abnormal values and invalid data, ensuring the integrity and accuracy of the data, obtaining a preprocessed historical test record, and extracting the test values of all the detection parameters from the preprocessed historical test record. Meanwhile, for each detection parameter, according to the historical data, an expert group determines a standard value under ideal conditions and reflects the theoretical value range of the detection parameter under normal conditions. And then, comparing the test value of each detection parameter with a corresponding standard value, and calculating the error size of the test value to obtain an error analysis result. Wherein the error may be expressed in absolute, relative, or percent, etc. And then, according to the error analysis result, obtaining the historical test precision of each detection parameter. For example, for each detection parameter, calculating an arithmetic average value of all the test errors of the detection parameter, and reflecting the average deviation degree of the test value and the standard value as the historical test precision of the detection parameter; or calculating standard deviation of the test error, wherein the standard deviation is used as historical test precision of the detection parameter, represents the discrete degree of the test value and reflects the fluctuation range of the test value; or calculating the ratio of the test value in the allowable range of the standard value, and reflecting the accuracy of the test as the historical test accuracy of the detection parameters. The obtained historical test precision reflects the reliability and stability of the detection parameters in actual tests.
And then, dividing the first detection parameter time sequence according to the change point of the test voltage to obtain a plurality of sub-time sequences, wherein each sub-time sequence corresponds to a stable test voltage. And extracting key characteristic indexes such as mean value, variance, peak value, rising time and the like from each sub-time sequence, and quantitatively describing the overall characteristics and change rule of the sub-time sequence. And then, comparing the characteristic index of each sub-time sequence with the historical test precision corresponding to the corresponding test voltage and the detection parameter, and judging whether the precision of the current test meets the historical test precision. And determining that the precision of the current test is lower than the precision of the historical test as an abnormal sub-time sequence in the current test. And then, comprehensively considering the accuracy check sum abnormal recognition results of all the sub-time sequences, and evaluating the overall quality of the first detection parameter time sequence to obtain a reliability evaluation result. The evaluation index includes qualification rate, anomaly rate, confidence, etc. The qualification rate is the proportion passing the precision check in all the sub-time sequences; the anomaly rate is a proportion of the anomaly identified in all sub-timings; and the confidence coefficient is obtained by comprehensively considering the qualification rate and the abnormality rate, and the reliability of the time sequence of the first detection parameter is qualitatively or quantitatively evaluated.
Then, according to the reliability evaluation result, whether the first detection parameter time sequence is acceptable or not is judged. If the reliability evaluation result meets the threshold condition preset by the expert group, the test precision of the first detection parameter time sequence is considered to be in accordance with the requirement, and the method can be used for calculating the electrical insulation performance index; otherwise, retest or problem investigation is needed, and retest is carried out on the first detection parameter time sequence which does not meet the requirement until the reliability evaluation result meets the preset threshold condition.
Then, a scoring rule is designed for each detection parameter by an expert group, and the actual value of each detection parameter is mapped into a score of 0-100. The higher the score, the better the performance of the test parameter, the more advantageous the electrical insulation properties. And then comprehensively scoring the first detection parameter time sequence with the test precision meeting the requirement according to a designed scoring rule, and distributing different weight coefficients to each detection parameter in consideration of different influence degrees of different detection parameters on the electrical insulation performance. The larger the weight coefficient is, the more important the detection index is, and the higher the duty ratio in the overall performance index is. And multiplying the score of each detection parameter by the weight coefficient of the detection parameter, and summing all the products to obtain a comprehensive electrical insulation performance index which is used as a first electrical insulation performance index corresponding to the first detection parameter time sequence.
And processing the rest of the detection parameter time sequences according to the mode of obtaining the first electrical insulation performance index according to the first detection parameter time sequences, so as to obtain electrical insulation performance indexes corresponding to the detection parameter time sequences.
By introducing a reference standard of historical test precision and respectively carrying out multidimensional analysis on a plurality of detection parameter time sequences, a quantized first electrical insulation performance index is obtained, and a reliable basis is provided for judging the electrical insulation performance of the glove. Meanwhile, abnormal conditions in the test process can be found through independent analysis of single detection parameter time sequence, and support is provided for control of test quality.
S6: and visually displaying a first test result of the first glove obtained by weighting the first electrical insulation performance index.
In the embodiment of the application, the obtained first electrical insulation performance indexes are generated by first detection parameter time sequences of which the reliability evaluation results meet the preset threshold condition.
And respectively carrying out weight assignment on all the obtained first electrical insulation performance indexes according to the reliability evaluation result of the first detection parameters, and carrying out weighting treatment on all the first electrical insulation performance indexes according to the assignment result, thereby obtaining an electrical insulation performance test result aiming at the first glove, and marking the electrical insulation performance test result as a first test result.
In order to make the test result more visual and understandable, the performance condition of the first glove can be conveniently and quickly known, and the first test result is visually processed and displayed. For example, using a dashboard display, i.e., mapping the first test result onto a circular dashboard, the pointer position indicating the current performance level, different index intervals corresponding to different colors, such as red-yellow-green, visually representing the performance level; or using a rating icon for displaying, namely, giving corresponding rating such as excellent, good, qualified, unqualified and the like according to the first test result, and using corresponding icons or star-class to represent, thereby being convenient for quickly judging the grade of the insulating performance of the glove.
Preferably, when visual display of the first test result is given, the first electrical insulation performance index corresponding to multiple tests is drawn into a trend curve according to the increasing sequence of the test voltage, and the change trend of the glove insulation performance along with the voltage is visually displayed, so that the change state of the glove insulation performance under the voltage is conveniently found.
Preferably, the first test result of the first glove is ranked and compared with indexes of other gloves in the same batch and same type, and the relative performance level of the first glove in similar products is intuitively known through displaying in the forms of a histogram, a bar chart and the like.
The first test result of the first glove is converted into visual graphics and images through a visualization technology, so that the electrical insulation performance of the glove can be conveniently and rapidly understood and judged, and the readability and practicality of the test result are improved. Meanwhile, visual display also provides visual data support for performance trend analysis and quality management decision-making.
In a preferred embodiment, first, the first glove characteristic information is set to include a first glove brand and a first glove model of the first glove, based on which basic attributes of the first glove can be preliminarily determined, the range of matching of subsequent queries is narrowed, and a foundation is laid for rapid generation of a preprocessing scheme. After the first glove brand and first glove model are obtained, a query is made in an electrically insulating rubber glove database to obtain other parameters of the first glove, including a first glove size and a first glove volume of the first glove. The first glove size refers to various geometric size parameters of the first glove, including the whole length, the palm width, the finger length, the circumference of the cuffs and the like of the glove, and influences the placing position, the water injection quantity and other factors of the glove in the testing process; the first glove volume refers to the volume of a space which can be contained in the first glove, is closely related to the water injection quantity of the glove, and influences the insulation performance in the test process.
After the first glove size and the first glove volume of the first glove are obtained, related parameters of the matched test barrel container, including the container size and the container water filling height, need to be read. The container size refers to geometric parameters of the test barrel container, including the inner diameter, the outer diameter and the height of the container; the water injection height of the container refers to the height position of the water surface in the container in the test process, and influences the immersion depth and the water injection quantity of the glove. The test barrel container is of standardized design, the container size and the container water injection height of the test barrel container are stored in the container database in advance, and the corresponding container size and the container water injection height can be read from the container database only by the model of the test barrel container.
After the first glove size and the first glove volume of the first glove and the container size and the container water filling height of the test barrel container are obtained, continuously reading the water surface height threshold and the preset water filling height ratio of the preset glove to be used as decision basis, namely preset decision constraint, for generating a pretreatment scheme. Wherein the predetermined glove exposure water surface height threshold refers to a maximum height value of the first glove which allows exposure of the water surface in the test process, and is set by expert personnel according to glove production specification requirements; the preset water injection height ratio is the ratio between the water injection height of the test barrel container and the total length of the first glove, which is set according to test experience, and determines the immersing degree of the glove in water, so that the insulation performance in the test process is affected.
The first glove size, the first glove volume, the container size and the container fill height are then assembled into a data set, referred to as a first data set, which contains all the parameters required to generate the pretreatment regimen. The first data set is then analyzed according to a predetermined decision constraint. Specifically, the parameters in the first data set are compared and calculated with two constraint conditions of a preset glove exposed water surface height threshold and a preset water injection height ratio, whether the constraint conditions are met or not is judged, and corresponding pretreatment parameters including glove placement positions, water injection amounts and the like are generated according to the constraint conditions. The glove placement position calculates the optimal placement position of the glove in the container according to the container size and the first glove size, so that the glove can be immersed in water, and the height of the exposed water surface does not exceed a preset glove exposed water surface height threshold; the water injection quantity calculates the optimal water injection quantity according to the water injection height of the container, the first glove volume and the preset water injection height ratio, so that the glove is fully immersed and the bearing capacity of the container is not exceeded. And obtaining a set of complete pretreatment parameters through the analysis and calculation to form a first pretreatment scheme. The proposal prescribes various preparation works of the first glove before testing, and provides standardized operation guidance for subsequent testing works.
By comprehensively analyzing various parameters of the first glove and the test barrel container and combining with preset decision constraints, the first pretreatment scheme is automatically generated, the limitation of manual experience is overcome, the standardization and standardization degree of the pretreatment process is improved, and the trial-and-error cost and the resource waste are effectively reduced. Meanwhile, the generation of the pretreatment scheme improves the working efficiency and reduces the burden of operators.
Further, the embodiment of the application further comprises;
acquiring a first lantern ring surface of the first glove which is exposed out of the water surface after being distributed to the test barrel container;
Carrying out random water content detection on the first lantern ring surface through a probe to obtain a first water content;
judging whether the first water content accords with a preset water content threshold value or not;
and if the first detection parameter time sequence is in accordance with the first detection parameter time sequence, adjusting and analyzing the first detection parameter time sequence based on the first water content, and if the first detection parameter time sequence is not in accordance with the first detection parameter time sequence, sending a first early warning instruction and cleaning the first lantern ring surface.
In one possible embodiment, after the first glove is applied to the test bucket container according to the first pretreatment protocol, a portion of the first glove is exposed to the water surface, forming a region around the wrist of the glove, referred to as a first glove annulus. This area is the target location for the high voltage electrode clamping, and its dryness directly affects the accuracy of the test.
In a preferred embodiment, first, the first glove characteristic information is set to include a first glove brand and a first glove model of the first glove, based on which basic attributes of the first glove can be preliminarily determined, the range of matching of subsequent queries is narrowed, and a foundation is laid for rapid generation of a preprocessing scheme. After the first glove brand and first glove model are obtained, a query is made in an electrically insulating rubber glove database to obtain other parameters of the first glove, including a first glove size and a first glove volume of the first glove. The first glove size refers to various geometric size parameters of the first glove, including the whole length, the palm width, the finger length, the circumference of the cuffs and the like of the glove, and influences the placing position, the water injection quantity and other factors of the glove in the testing process; the first glove volume refers to the volume of a space which can be contained in the first glove, is closely related to the water injection quantity of the glove, and influences the insulation performance in the test process.
After the first glove size and the first glove volume of the first glove are obtained, related parameters of the matched test barrel container, including the container size and the container water filling height, need to be read. The container size refers to geometric parameters of the test barrel container, including the inner diameter, the outer diameter and the height of the container; the water injection height of the container refers to the height position of the water surface in the container in the test process, and influences the immersion depth and the water injection quantity of the glove. The test barrel container is of standardized design, the container size and the container water injection height of the test barrel container are stored in the container database in advance, and the corresponding container size and the container water injection height can be read from the container database only by the model of the test barrel container.
After the first glove size and the first glove volume of the first glove and the container size and the container water filling height of the test barrel container are obtained, continuously reading the water surface height threshold and the preset water filling height ratio of the preset glove to be used as decision basis, namely preset decision constraint, for generating a pretreatment scheme. Wherein the predetermined glove exposure water surface height threshold refers to a maximum height value of the first glove which allows exposure of the water surface in the test process, and is set by expert personnel according to glove production specification requirements; the preset water injection height ratio is the ratio between the water injection height of the test barrel container and the total length of the first glove, which is set according to test experience, and determines the immersing degree of the glove in water, so that the insulation performance in the test process is affected.
The first glove size, the first glove volume, the container size and the container fill height are then assembled into a data set, referred to as a first data set, which contains all the parameters required to generate the pretreatment regimen. The first data set is then analyzed according to a predetermined decision constraint. Specifically, the parameters in the first data set are compared and calculated with two constraint conditions of a preset glove exposed water surface height threshold and a preset water injection height ratio, whether the constraint conditions are met or not is judged, and corresponding pretreatment parameters including glove placement positions, water injection amounts and the like are generated according to the constraint conditions. The glove placement position calculates the optimal placement position of the glove in the container according to the container size and the first glove size, so that the glove can be immersed in water, and the height of the exposed water surface does not exceed a preset glove exposed water surface height threshold; the water injection quantity calculates the optimal water injection quantity according to the water injection height of the container, the first glove volume and the preset water injection height ratio, so that the glove is fully immersed and the bearing capacity of the container is not exceeded. And obtaining a set of complete pretreatment parameters through the analysis and calculation to form a first pretreatment scheme. The proposal prescribes various preparation works of the first glove before testing, and provides standardized operation guidance for subsequent testing works.
By comprehensively analyzing various parameters of the first glove and the test barrel container and combining with preset decision constraints, the first pretreatment scheme is automatically generated, the limitation of manual experience is overcome, the standardization and standardization degree of the pretreatment process is improved, and the trial-and-error cost and the resource waste are effectively reduced. Meanwhile, the generation of the pretreatment scheme improves the working efficiency and reduces the burden of operators.
Further, the embodiment of the application further comprises;
acquiring a first lantern ring surface of the first glove which is exposed out of the water surface after being distributed to the test barrel container;
Carrying out random water content detection on the first lantern ring surface through a probe to obtain a first water content;
judging whether the first water content accords with a preset water content threshold value or not;
and if the first detection parameter time sequence is in accordance with the first detection parameter time sequence, adjusting and analyzing the first detection parameter time sequence based on the first water content, and if the first detection parameter time sequence is not in accordance with the first detection parameter time sequence, sending a first early warning instruction and cleaning the first lantern ring surface.
In one possible embodiment, after the first glove is applied to the test bucket container according to the first pretreatment protocol, a portion of the first glove is exposed to the water surface, forming a region around the wrist of the glove, referred to as a first glove annulus. This area is the target location for the high voltage electrode clamping, and its dryness directly affects the accuracy of the test.
In practical application, a plurality of representative historical test records are selected, and the historical test precision of each record is obtained to obtain a group of first historical test precision. Then, the first set of historical test accuracies are arithmetically averaged to obtain an overall historical test accuracy. The average precision level of the current test method in the historical data is reflected, and the method can be used as an important reference for measuring the reliability of the test.
The accuracy level of the current test method is quantitatively evaluated through mining and comparison analysis of the historical test data, a historical basis is provided for the credibility of the test result, and the comprehensiveness and accuracy of performance evaluation are improved.
Further, the embodiment of the application further comprises:
obtaining a first historical polarization index and a first historical absorption ratio according to the first historical insulation resistance detection parameter time sequence;
And weighting the normalized first historical polarization index and the first historical absorption ratio to obtain the second historical electrical insulation performance index.
In one possible embodiment, the first historical insulation resistance detection parameter timing reflects a trend of glove insulation resistance over time. To fully evaluate the insulating properties of the glove, two key characteristic parameters need to be extracted from this sequence: a first historical polarization index and a first historical absorption ratio.
Wherein the first historical polarization index is the ratio of the insulation resistance at two different times. For example, the insulation resistance values at 1 minute and 10 minutes are calculated to obtain the ratio of the insulation resistance value at 10 minutes to the insulation resistance value at 1 minute, and the first historical polarization index is obtained. The first historical polarization index reflects the polarization degree of the insulating material, and the higher the index, the more stable the insulating property of the material.
Wherein the first historical absorption ratio is a ratio of an average value of insulation resistances over two different time periods. For example, the insulation resistance average value for two periods of 1 minute and 1 minute to 10 minutes is calculated, and the first historical absorption ratio is obtained by dividing the insulation resistance average value for two periods of 1 minute to 10 minutes by the insulation resistance average value for the period of 1 minute. The first historical absorption reflects the ability of the insulating material to absorb and release charge, with higher ratios indicating better insulating properties of the material.
Because the first historical polarization index and the first historical absorption ratio have differences in numerical value ranges and dimensions, direct comparison and combination are inconvenient, normalization processing is needed to be carried out on the first historical polarization index and the first historical absorption ratio in a normalization mode such as linear normalization and logarithmic normalization so as to map the numerical values in different ranges into the [0,1] interval uniformly, and influence of dimensions and dimensions is eliminated. After normalization treatment, the first historical polarization index and the first historical absorption ratio are distributed with weight coefficients according to the contribution degree of the first historical polarization index and the first historical absorption ratio to the insulation performance, and weighted summation is carried out on the weight coefficients to obtain a comprehensive performance index, namely a second historical electrical insulation performance index.
Through the comprehensive evaluation method based on the polarization index and the absorption ratio, the performance characteristics of the insulating material are characterized from multiple angles, the comprehensiveness and the accuracy of the evaluation result are improved, the performance rule which is difficult to reflect by the traditional single-point measurement is dug, and a foundation is laid for testing the electric insulating rubber glove.
In summary, the intelligent test method for the electrically insulating rubber glove provided by the embodiment of the application has the following technical effects:
The first pretreatment scheme is obtained by traversing the first glove characteristic information of the first glove in the electric insulation rubber glove database, and the dependence of manual experience is reduced and the test preparation efficiency is improved by rapidly matching the optimal pretreatment scheme according to the characteristic information of the glove to be tested. According to the first pretreatment scheme, the first gloves are distributed into the test barrel container, glove distribution automation is achieved, manual operation links are reduced, and continuity of a test flow is improved. Generating a first clamping contact scheme according to the first glove wrist diameter parameters in the first glove characteristic information, wherein the first clamping contact scheme is used for controlling the high-voltage electrode clamp to clamp the first glove in the test barrel container, matching individualized clamping parameters with different types of gloves, improving the clamping accuracy and guaranteeing the test reliability. The high-voltage power supply is connected to detect to obtain a first electrical insulation performance detection parameter time sequence of the first glove, the first electrical insulation performance detection parameter time sequence comprises a plurality of detection parameter time sequences under the constraint of a plurality of test power supplies, and the full-range detection of the glove performance parameters under different test conditions is used for obtaining rich and full-range test data, so that a foundation is laid for subsequent analysis. And analyzing a first detection parameter time sequence according to the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, wherein the first detection parameter time sequence is any one of a plurality of detection parameter time sequences, and performing intelligent processing on test data according to the historical test precision by applying a big data analysis technology to obtain an accurate and reliable glove performance quantization index. And carrying out visual display on a first test result of the first glove obtained by weighting the first electrical insulation performance index, converting the glove test result into a visual and readable chart and other forms by utilizing a visual technical means, facilitating a tester to quickly judge the glove performance quality, improving the test efficiency of the electrical insulation rubber glove, and realizing the intellectualization of the test process.
Example 2
Based on the same inventive concept as the intelligent test method of an electrically insulating rubber glove in the foregoing embodiments, as shown in fig. 3, an embodiment of the present application provides an intelligent test system of an electrically insulating rubber glove, the system comprising:
a processing scheme obtaining module 11, configured to traverse in an electrically insulating rubber glove database based on first glove characteristic information of the first glove to obtain a first preprocessing scheme;
A glove placement module 12 for placing the first glove into a test bucket container according to the first pretreatment regimen;
The clamping scheme generating module 13 is used for generating a first clamping contact scheme according to a first wrist diameter parameter in the first wrist characteristic information, wherein the first clamping contact scheme is used for controlling a high-voltage electrode clamp to clamp the first wrist in the test barrel container;
The insulation detection module 14 is configured to switch on a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, where the first electrical insulation performance detection parameter time sequence includes a plurality of detection parameter time sequences under a plurality of test power supply constraints;
The insulation performance obtaining module 15 is configured to analyze a first detection parameter timing sequence according to a historical test precision obtained by analyzing a historical test record, so as to obtain a first electrical insulation performance index, where the first detection parameter timing sequence is any one of the plurality of detection parameter timing sequences;
And the test result display module 16 is used for visually displaying the first test result of the first glove obtained by weighting the first electrical insulation performance index.
Further, the embodiment of the application also comprises a database construction module, which comprises the following execution steps:
Characteristic collection is carried out on the first rubber gloves in the rubber glove set based on preset indexes, so that characteristic parameters of the first rubber gloves are obtained, wherein the preset indexes comprise brands, models, sizes and volumes;
and constructing the electric insulation rubber glove database according to the first corresponding relation between the first rubber glove and the first rubber glove characteristic parameter.
Further, the processing scheme obtaining module 11 includes the following execution steps:
The first glove characteristic information comprises a first glove brand and a first glove model of the first glove;
Traversing in the electrically insulating rubber glove database based on the first glove brand and the first glove model to obtain a first glove size and a first glove volume of the first glove;
Reading the container size and the container water filling height of the test barrel container;
Respectively reading a water surface height threshold of the preset glove and a preset water injection height ratio, and forming a preset decision constraint;
And analyzing a first data set based on the preset decision constraint to obtain the first pretreatment scheme, wherein the first data set comprises the first glove size, the first glove volume, the container size and the container water filling height.
Further, the embodiment of the application also comprises a water content detection module, which comprises the following execution steps:
acquiring a first lantern ring surface of the first glove which is exposed out of the water surface after being distributed to the test barrel container;
Carrying out random water content detection on the first lantern ring surface through a probe to obtain a first water content;
judging whether the first water content accords with a preset water content threshold value or not;
and if the first detection parameter time sequence is in accordance with the first detection parameter time sequence, adjusting and analyzing the first detection parameter time sequence based on the first water content, and if the first detection parameter time sequence is not in accordance with the first detection parameter time sequence, sending a first early warning instruction and cleaning the first lantern ring surface.
Further, the water content detection module further comprises the following execution steps:
extracting a first detection voltage at a first time in the first detection parameter time sequence;
matching a first predetermined feedback adjustment coefficient corresponding to the first water content;
Adjusting the first detection voltage by taking the first preset feedback adjustment coefficient as a weight coefficient to obtain a first target detection voltage;
And obtaining an adjustment result of the first detection parameter time sequence based on the first target detection voltage.
Further, the insulating property acquiring module 15 includes the following steps:
Extracting a first history record in the history test record, wherein the first history record comprises a first history detection parameter time sequence and a first history insulation resistance detection parameter time sequence;
Analyzing the first historical detection parameter time sequence to obtain a first historical electrical insulation performance index and the first historical insulation resistance detection parameter time sequence to obtain a second historical electrical insulation performance index;
Comparing the first historical electrical insulation performance index with the second historical electrical insulation performance index to obtain a first historical test precision;
And taking the average value of the first historical test precision as the historical test precision.
Further, the insulation performance obtaining module 15 further includes the following steps:
obtaining a first historical polarization index and a first historical absorption ratio according to the first historical insulation resistance detection parameter time sequence;
And weighting the normalized first historical polarization index and the first historical absorption ratio to obtain the second historical electrical insulation performance index.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any method for implementing an embodiment of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.

Claims (8)

1. An intelligent test method for an electrically insulating rubber glove is characterized by comprising the following steps:
Traversing in an electrically insulating rubber glove database based on first glove characteristic information of a first glove to obtain a first pretreatment scheme;
laying the first glove into a test bucket container according to the first pretreatment scheme;
Generating a first clamping contact scheme according to a first wrist diameter parameter of the first glove in the first glove characteristic information, wherein the first clamping contact scheme is used for controlling a high-voltage electrode clamp to clamp the first glove in the test barrel container;
Switching on a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, wherein the first electrical insulation performance detection parameter time sequence comprises a plurality of detection parameter time sequences under the constraint of a plurality of test power supplies;
Analyzing a first detection parameter time sequence according to the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, wherein the first detection parameter time sequence is any one of the detection parameter time sequences;
And visually displaying a first test result of the first glove obtained by weighting the first electrical insulation performance index.
2. The method of claim 1, wherein traversing the database of electrically insulating rubber gloves based on the first glove characteristic information of the first glove results in a first pretreatment regimen, the steps comprising:
Characteristic collection is carried out on the first rubber gloves in the rubber glove set based on preset indexes, so that characteristic parameters of the first rubber gloves are obtained, wherein the preset indexes comprise brands, models, sizes and volumes;
and constructing the electric insulation rubber glove database according to the first corresponding relation between the first rubber glove and the first rubber glove characteristic parameter.
3. The method of claim 2, wherein traversing the database of electrically insulating rubber gloves based on the first glove characteristic information of the first glove results in a first pretreatment regimen comprising:
The first glove characteristic information comprises a first glove brand and a first glove model of the first glove;
Traversing in the electrically insulating rubber glove database based on the first glove brand and the first glove model to obtain a first glove size and a first glove volume of the first glove;
Reading the container size and the container water filling height of the test barrel container;
Respectively reading a water surface height threshold of the preset glove and a preset water injection height ratio, and forming a preset decision constraint;
And analyzing a first data set based on the preset decision constraint to obtain the first pretreatment scheme, wherein the first data set comprises the first glove size, the first glove volume, the container size and the container water filling height.
4. The method of claim 1, wherein generating a first grip contact scheme based on a first cuff diameter parameter in the first cuff characteristic information, previously comprises:
acquiring a first lantern ring surface of the first glove which is exposed out of the water surface after being distributed to the test barrel container;
Carrying out random water content detection on the first lantern ring surface through a probe to obtain a first water content;
judging whether the first water content accords with a preset water content threshold value or not;
and if the first detection parameter time sequence is in accordance with the first detection parameter time sequence, adjusting and analyzing the first detection parameter time sequence based on the first water content, and if the first detection parameter time sequence is not in accordance with the first detection parameter time sequence, sending a first early warning instruction and cleaning the first lantern ring surface.
5. The method of claim 4, wherein performing an adjustment analysis on the first detection parameter timing based on the first water cut comprises:
extracting a first detection voltage at a first time in the first detection parameter time sequence;
matching a first predetermined feedback adjustment coefficient corresponding to the first water content;
Adjusting the first detection voltage by taking the first preset feedback adjustment coefficient as a weight coefficient to obtain a first target detection voltage;
And obtaining an adjustment result of the first detection parameter time sequence based on the first target detection voltage.
6. The method of claim 1, wherein analyzing the first test parameter timing in combination with the historical test accuracy from analyzing the historical test record to obtain a first electrical insulation performance index comprises:
Extracting a first history record in the history test record, wherein the first history record comprises a first history detection parameter time sequence and a first history insulation resistance detection parameter time sequence;
Analyzing the first historical detection parameter time sequence to obtain a first historical electrical insulation performance index and the first historical insulation resistance detection parameter time sequence to obtain a second historical electrical insulation performance index;
Comparing the first historical electrical insulation performance index with the second historical electrical insulation performance index to obtain a first historical test precision;
And taking the average value of the first historical test precision as the historical test precision.
7. The method of claim 6, wherein analyzing the first historical test parameter timing to obtain a first historical electrical insulation performance index and the first historical insulation resistance test parameter timing to obtain a second historical electrical insulation performance index comprises:
obtaining a first historical polarization index and a first historical absorption ratio according to the first historical insulation resistance detection parameter time sequence;
And weighting the normalized first historical polarization index and the first historical absorption ratio to obtain the second historical electrical insulation performance index.
8. An intelligent test system for an electrically insulating rubber glove, for performing an intelligent test method for an electrically insulating rubber glove according to any one of claims 1-7, comprising:
the processing scheme acquisition module is used for traversing in the electric insulation rubber glove database based on the first glove characteristic information of the first glove to obtain a first pretreatment scheme;
The glove layout module is used for laying the first glove into a test barrel container according to the first pretreatment scheme;
The clamping scheme generation module is used for generating a first clamping contact scheme according to the first wrist diameter parameter of the first glove in the first glove characteristic information, and the first clamping contact scheme is used for controlling a high-voltage electrode clamp to clamp the first glove in the test barrel container;
The insulation detection module is used for connecting a high-voltage power supply to detect and obtain a first electrical insulation performance detection parameter time sequence of the first glove, and the first electrical insulation performance detection parameter time sequence comprises a plurality of detection parameter time sequences under the constraint of a plurality of test power supplies;
The insulation performance acquisition module is used for analyzing a first detection parameter time sequence by combining with the historical test precision obtained by analyzing the historical test record to obtain a first electrical insulation performance index, wherein the first detection parameter time sequence is any one of the detection parameter time sequences;
and the test result display module is used for visually displaying a first test result of the first glove obtained by weighting the first electrical insulation performance index.
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