CN116127326B - Composite insulator detection method and device, electronic equipment and storage medium - Google Patents
Composite insulator detection method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN116127326B CN116127326B CN202310348240.XA CN202310348240A CN116127326B CN 116127326 B CN116127326 B CN 116127326B CN 202310348240 A CN202310348240 A CN 202310348240A CN 116127326 B CN116127326 B CN 116127326B
- Authority
- CN
- China
- Prior art keywords
- sample
- abnormal
- error
- samples
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1245—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of line insulators or spacers, e.g. ceramic overhead line cap insulators; of insulators in HV bushings
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a composite insulator detection method, a device, electronic equipment and a storage medium, comprising the following steps: collecting a plurality of composite insulator working samples corresponding to historical years, and dividing the working samples into conventional samples and abnormal samples; respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample, and completing a composite insulator core rod crisping simulation test according to the target working parameters corresponding to the conventional sample; determining an evaluation result corresponding to the conventional sample according to the test result, and determining an evaluation result corresponding to the abnormal sample according to the test result and a target working parameter corresponding to the abnormal sample; and establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the conventional sample and the abnormal sample, and performing core rod crisp detection on the target composite insulator according to the abnormal crisp sample library. The technical scheme of the embodiment of the invention can improve the accuracy of the composite insulator core rod shortness detection result.
Description
Technical Field
The present invention relates to the field of power transmission networks, and in particular, to a method and apparatus for detecting a composite insulator, an electronic device, and a storage medium.
Background
The composite insulator is widely applied to electric power transmission lines due to its excellent mechanical properties and anti-pollution flashover properties. The composite insulator is broken by decay, and is a fault defect caused by the reduction of the mechanical strength of the composite insulator core rod in the electric industry in recent years.
However, for the core rod of the composite insulator, it is difficult to diagnose the internal defects of the core rod in the daily operation and maintenance process, which makes the crunching monitoring and evaluation of the core rod of the composite insulator very difficult.
The prior art lacks an effective technical means, and can realize the investigation of the potential hazard of core rod shortcircuit in the composite insulator.
Disclosure of Invention
The invention provides a composite insulator detection method, a device, electronic equipment and a storage medium, which can improve the accuracy of a composite insulator core rod shortness detection result.
According to an aspect of the present invention, there is provided a composite insulator detection method, the method including:
collecting a plurality of composite insulator working samples corresponding to historical years, and dividing the working samples into conventional samples and abnormal samples;
respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample, and completing a composite insulator core rod crisping simulation test according to the target working parameters corresponding to the conventional sample;
Determining an evaluation result corresponding to a conventional sample according to the test result, and determining an evaluation result corresponding to an abnormal sample according to the test result and a target working parameter corresponding to the abnormal sample;
and establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the conventional sample and the abnormal sample, and performing core rod crisp detection on the target composite insulator according to the abnormal crisp sample library.
According to another aspect of the present invention, there is provided a composite insulator detection device, the device comprising:
the sample collection module is used for collecting a plurality of composite insulator working samples corresponding to historical years and dividing the working samples into conventional samples and abnormal samples;
the simulation test module is used for respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample and completing a composite insulator core rod crisping simulation test according to the target working parameters corresponding to the conventional sample;
the sample evaluation module is used for determining an evaluation result corresponding to the conventional sample according to the test result and determining an evaluation result corresponding to the abnormal sample according to the test result and a target working parameter corresponding to the abnormal sample;
And the crisp detection module is used for establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the conventional sample and the abnormal sample, and carrying out core rod crisp detection on the target composite insulator according to the abnormal crisp sample library.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the composite insulator detection method of any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the composite insulator detection method according to any one of the embodiments of the present invention when executed.
According to the technical scheme provided by the embodiment of the invention, the working samples of the composite insulator corresponding to a plurality of historical years are collected, the working samples are divided into the conventional samples and the abnormal samples, the target working parameters corresponding to the conventional samples and the abnormal samples are respectively extracted, the composite insulator core rod crisping simulation test is completed according to the target working parameters corresponding to the conventional samples, the evaluation result corresponding to the conventional samples is determined according to the test result, the evaluation result corresponding to the abnormal samples is determined according to the test result and the target working parameters corresponding to the abnormal samples, an abnormal crisping sample library is established according to the evaluation result corresponding to the conventional samples and the abnormal samples, and the core rod crisping detection technical means for the target composite insulator core rod is provided, so that an effective mode for carrying out crisping detection on the composite insulator core rod is provided, and the accuracy of the composite insulator core rod crisping detection result can be improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for detecting a composite insulator according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for detecting a composite insulator according to an embodiment of the present invention;
FIG. 3a is a flow chart of another method for detecting a composite insulator according to an embodiment of the present invention;
FIG. 3b is a flowchart of another method for detecting a composite insulator according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a composite insulator detection device according to an embodiment of the present invention;
Fig. 5 is a schematic structural diagram of an electronic device implementing the method for detecting a composite insulator according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of a composite insulator detection method according to a first embodiment of the present invention, where the method may be applied to a case of performing a crisp detection on a mandrel of a composite insulator, and the method may be performed by a composite insulator detection device, where the device may be implemented in hardware and/or software, and the device may be configured in an electronic device (for example, a terminal or a server) having a data processing function. As shown in fig. 1, the method includes:
and 110, collecting a plurality of composite insulator working samples corresponding to historical years, and dividing the working samples into conventional samples and abnormal samples.
In this embodiment, a natural year is taken as a period, i working samples of the composite insulator corresponding to historical years are collected, and then, according to the shortness of the composite insulator core rod in each sample, the working samples are divided into a conventional sample and an abnormal sample.
Wherein, the value range of i can be [1,15]. Specifically, if 5 years of working samples are collected, the number of samples corresponding to each year is not less than 30, and the number of abnormal samples is not less than 10; if the working samples of 6-12 years are collected, the number of the samples corresponding to each year from the 6 th year to the 12 th year is not less than 50, and the number of the abnormal samples is not less than 20; if the working samples are collected for more than 12 years, the number of abnormal samples corresponding to each year after more than 12 years is not less than 20.
And 120, respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample, and completing a composite insulator core rod embrittlement simulation test according to the target working parameters corresponding to the conventional sample.
In this embodiment, optionally, the working parameters that have a shortness effect on the composite insulator core rod may be extracted from the normal sample and the abnormal sample, respectively, and the working parameters may be used as the target working parameters. After the target working parameters corresponding to the conventional samples are extracted, the simulation test can be carried out on the pure new composite insulator core rod by using the target working parameters.
And 130, determining an evaluation result corresponding to the conventional sample according to the test result, and determining an evaluation result corresponding to the abnormal sample according to the test result and the target working parameter corresponding to the abnormal sample.
In this embodiment, optionally, the evaluation result corresponding to the normal sample may be determined according to the difference between the normal sample and the test result, and then the evaluation result corresponding to the abnormal sample may be determined according to the difference between the test result and the abnormal sample and the target working parameter corresponding to the abnormal sample.
And 140, establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the conventional sample and the abnormal sample, and performing core rod crisp detection on the target composite insulator according to the abnormal crisp sample library.
In this embodiment, after the evaluation results corresponding to the conventional sample and the abnormal sample are obtained, an actual influence factor causing the composite insulator core rod to be crisp may be determined according to the evaluation results, and then an abnormal crisp sample library may be established according to the influence factor. The abnormal crisp sample library comprises a plurality of composite insulator samples with core rods which are crisp.
After the abnormal crisp sample library is established, optionally, the composite insulator to be tested (namely, the target composite insulator) can be compared with each sample in the abnormal crisp sample library to obtain a crisp detection result of the target composite insulator.
In the embodiment, by exploring the evolution rule of the mechanical strength of the composite insulator in each natural year and classifying and processing sample data, the influence factors of the crisp evolution of the composite insulator are refined, the feedback of the maximum information quantity can be obtained, and the high-reliability core rod crisp hidden danger detection under the small sample collection is realized.
According to the technical scheme provided by the embodiment of the invention, the working samples of the composite insulator corresponding to a plurality of historical years are collected, the working samples are divided into the conventional samples and the abnormal samples, the target working parameters corresponding to the conventional samples and the abnormal samples are respectively extracted, the composite insulator core rod crisping simulation test is completed according to the target working parameters corresponding to the conventional samples, the evaluation result corresponding to the conventional samples is determined according to the test result, the evaluation result corresponding to the abnormal samples is determined according to the test result and the target working parameters corresponding to the abnormal samples, an abnormal crisping sample library is established according to the evaluation result corresponding to the conventional samples and the abnormal samples, and the core rod crisping detection technical means for the target composite insulator core rod is provided, so that an effective mode for carrying out crisping detection on the composite insulator core rod is provided, and the accuracy of the composite insulator core rod crisping detection result can be improved.
Fig. 2 is a flowchart of a method for detecting a composite insulator according to a second embodiment of the present invention, where the embodiment is further refined. As shown in fig. 2, the method includes:
and 210, collecting a plurality of composite insulator working samples corresponding to historical years, and dividing the working samples into conventional samples and abnormal samples.
And 220, respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample, and completing a composite insulator core rod embrittlement simulation test according to the target working parameters corresponding to the conventional sample.
In one implementation manner of this embodiment, extracting the target working parameters corresponding to the normal sample and the abnormal sample respectively includes: extracting environmental parameters corresponding to a conventional sample, wherein the elastic modulus of a composite insulator core rod in the conventional sample; and extracting an abnormal environment parameter corresponding to the abnormal sample, a time length corresponding to the abnormal environment parameter and an elastic modulus of the composite insulator core rod in the abnormal sample.
In a specific embodiment, for the conventional sample, the average value of the temperature x1, the humidity x2, the ph value x3, the salt density x4, the ash density x5, and the load stress x6 of the environment corresponding to the conventional sample may be extracted and recorded as the independent variable matrix (x 1, x2, x3, x4, x5, x 6), and then the measured elastic modulus E of the mandrel is recorded as the output observed quantity, and the parameter set E (x 1, x2, x3, x4, x5, x 6) corresponding to the conventional sample is established.
In another specific embodiment, for an abnormal sample, an abnormal environment parameter corresponding to the abnormal sample may be used as an independent variable matrix (xi, ti). Wherein, the abnormal sample is assumed to have a humidity x2 of 90% for 100 days and a salt density x4 of 0.24mg/cm for 45 days within i years 2 The measured elastic modulus E 'of the core rod can be expressed as E' ((x2=90%, t2=100), (x4=0.24, t2=45)).
And 230, determining conventional sample data according to the target working parameters corresponding to the conventional samples.
In this step, it is assumed that the normal sample is A i1 The conventional sample data E can be screened from the conventional samples according to the target working parameters corresponding to the conventional samples i1 。
In the present embodiment, it is assumed that the test result is E i4 Then the normal sample data E can be calculated i1 And E is connected with i4 Errors between them, then using error criteria
Screening abnormal data in the conventional sample. Wherein, the liquid crystal display device comprises a liquid crystal display device,
n is a conventional sample A i1 Is the number of samples in the sample.
In this step, the normal samples can be re-divided into target normal samples a that allow for error results (i.e., meet the error criteria) by the error criteria described above i5 And a target error sample a that does not allow for error results (i.e., does not meet the error criterion) i6 。
And 250, analyzing the error reasons corresponding to the target error samples to obtain error analysis results.
In this embodiment, optionally, the working parameters corresponding to the target error sample may be compared with the working parameters corresponding to the test result, and then the error cause of the target error sample may be analyzed according to the comparison result.
In this embodiment, after obtaining the abnormal sample in step 210, the abnormal sample may be further divided into a general abnormal sample a according to the degree of abnormality of the composite insulator in the abnormal sample i3 (i.e., first abnormal sample), and accentuated abnormal sample A i4 (i.e., the second anomalous sample).
In this step, the first abnormal sample A can be obtained according to the target working parameters corresponding to the abnormal sample i3 Screening first abnormal data E i2 And in a second abnormal sample A i4 Screening of second abnormal data E i3 。
The error grade corresponding to the third error sample is larger than the error grade corresponding to the second error sample; the error level corresponding to the second error sample is greater than the error level corresponding to the first error sample.
In a specific embodiment, all target normal samples A may be calculated i5 Is defined as the i-year reference value E i And outputting. Wherein, the liquid crystal display device comprises a liquid crystal display device,
m is the target normal sample A i5 Is the number of samples in the sample.
In this step, the above reference value E is obtained i The error criterion can then be used
Error screening is carried out on the first abnormal data and the second abnormal data, and the first abnormal sample and the second abnormal sample are divided into small error samples A according to the screening result i7 (i.e., first error sample), large error general sample A i8 (i.e., the second error sample) and the large error emphasis sample A i9 (i.e., the third error sample).
And 290, establishing the abnormal crisp sample library according to the target error sample, the second error sample and the third error sample, and performing core rod crisp detection on the target composite insulator according to the abnormal crisp sample library.
In this embodiment, the error sample A can be obtained from the target i6 Second error sample A i8 And a third error sample A i9 And establishing an abnormal crisp sample library.
According to the technical scheme provided by the embodiment of the invention, the working samples are divided into the conventional samples and the abnormal samples by collecting the composite insulator working samples corresponding to a plurality of historical years, the composite insulator core rod crisping simulation test is completed according to the target working parameters of the conventional samples, the error between the test result and the conventional sample data is determined, the conventional samples are divided into the target normal samples and the target error samples according to the error, the error cause corresponding to the target error samples is analyzed to obtain the error analysis result, the abnormal samples are divided into the first abnormal samples and the second abnormal samples, the average value of the target normal samples is obtained as a reference value, the first abnormal data and the second abnormal data are subjected to error screening according to the reference value to obtain the first error samples, the second error samples and the third error samples, the abnormal crisping sample library is established according to the target error samples, and the abnormal crisping sample library is established according to the technical means of the abnormal crisping detection of the target composite insulator, and the accuracy of the core rod crisping detection result of the composite insulator can be improved.
Fig. 3a is a flowchart of a method for detecting a composite insulator according to a third embodiment of the present invention, where the foregoing embodiment is further refined. As shown in fig. 3a, the method comprises:
In the present embodiment, alternatively, the working sample may be divided into the normal samples a using the abnormality criteria X shown in table 1 i1 And abnormal sample A i2 . Specifically, the judging rule in the abnormal criterion is as follows: if the working environment of the composite insulator in a certain sample meets any one of the abnormal criteria X, the sample can be classified as an abnormal sample A i2 Otherwise classify as conventional sample A i1 。
In a specific embodiment, a sample may be classified as an abnormal sample a provided that the composite insulator is present in the sample for more than 60 days in an i year at an ambient temperature greater than 50 degrees celsius i2 . Further, abnormal sample A i2 May also be divided into a first abnormal sample A i3 And a second abnormal sample A i4 . The specific judgment rule is as follows: if the working environment of the composite insulator in a certain abnormal sample meets the leakage current x7 and the local overheat x8 simultaneously, the abnormal sample can be classified as a first abnormal sample A i3 Otherwise classify as second abnormal sample A i4 。
And 302, respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample, and completing a composite insulator core rod embrittlement simulation test according to the target working parameters corresponding to the conventional sample.
And 303, determining conventional sample data according to target working parameters corresponding to the conventional samples, determining errors between the test results and the conventional sample data, and dividing the conventional samples into target normal samples and target error samples according to the errors.
And 304, analyzing the error reasons corresponding to the target error samples to obtain error analysis results.
TABLE 1
In this embodiment, optionally, the target error sample a may be analyzed and generated by referring to the definition value xj (j=1 to 8) of the abnormal criterion X and the total number of days i6 And according to the analysis result, providing a basis for correcting the definition value of the abnormal criterion X and the total number of days.
And 308, reducing the influence factor weight corresponding to the first error sample according to the error analysis result corresponding to the target error sample, and analyzing the influence factor weights corresponding to the second error sample and the third error sample to obtain the correction quantity corresponding to the influence factor weight.
In the present embodiment, the first error sample A i7 Is used to weaken the weight corresponding to the influence on privacy and correct the definition value of the abnormal criterion X and the total number of days. Specifically, if the first error sample A i7 The error value of (2) is
The definition value of the abnormal criterion X to be corrected can be determined; if->
It can be determined that the total number of days in the abnormality criterion X needs to be corrected.
In this step, a second error sample A may also be taken i8 As training set, a third error sample A i9 As a verification set, calculating a correction amount by the training set and the verification set
. Specifically, correction amount->
Can be obtained by discrete linear fitting>
. Wherein (1)>
For defining the value of the abnormal parameter in the abnormal criterion X,
to take into account the weight factors of the abnormal disturbance events at the total action time +.>
Is a constant factor of the desired fit.
And 309, correcting the abnormal criteria according to the analysis results corresponding to the weights of the influence factors, so as to process the new working sample of the composite insulator according to the corrected abnormal criteria.
In this step, the working samples of the composite insulator collected in the next year can be divided into a conventional sample and an abnormal sample according to the modified abnormal criterion.
And 310, determining factor weight correction results corresponding to a plurality of historical years according to the correction amount, and performing core rod embrittlement detection on the target composite insulator according to the abnormal embrittlement sample library and the factor weight correction results.
In this step, the correction amount can be calculated according to the above
Obtaining a factor weight correction result 
And then, according to the abnormal embrittlement sample library and the factor weight correction result, core rod embrittlement detection is carried out on the target composite insulator.
In a specific embodiment, during the analysis of the sample data, the table relationship between the abnormal sample and the abnormal criterion X may be compared, and the actual sampling value and the total time of the sample data are combined to draw the matrix array relationship under various events, as shown in table 2.
Wherein both the low risk sample data and the medium risk sample data of Table 2 are taken (x) jmax ，t j ) And (x) j ，t jmax ) While the high risk sample data uses (x) jmin ，t j ) And (x) j ，t jmin ) In this way x can be taken as jmin And t jmin The method is used as a basic criterion for shortcircuit of the composite insulators of the same type in the year i.
In this embodiment, the sample data A may also be summarized i6 ，A i7 ，A i8 ，A i9 The weight of the abnormal parameter in (1) is used for correcting the abnormal criterion X in the year i+1, and the correction parameter of the abnormal event xj (j=1-8)
Can be used for evaluating the mechanical strength E of the composite insulator i ' output.
In a specific embodiment, the composite insulator mandrel is thinned to have mechanical strength E i When the output result is lower than 0.5-rating value, the potential safety hazard of the core rod breakage of the insulator can be judged.
In this embodiment, after the i-year potential risk assessment of all composite insulators is completed, the i-year mechanical strength reference value E can be calculated i And correction value E i And (3) outputting, correcting the abnormal criterion X, establishing an abnormal embrittlement sample library, and updating the data to the next year in the composite insulator core rod embrittlement hidden danger assessment process.
TABLE 2
In the embodiment, by establishing the abnormal criteria and repeatedly correcting the abnormal criteria by using a large amount of sample data, key influencing factors and weights of the core rod embrittlement evolution can be intuitively evaluated, and the precision of the composite insulator detection result is improved.
According to the technical scheme provided by the embodiment of the invention, through collecting a plurality of composite insulator working samples corresponding to historical years, dividing the working samples into conventional samples and abnormal samples according to abnormal criteria, determining errors between test results and conventional sample data, dividing the conventional samples into target normal samples and target error samples, analyzing error reasons corresponding to the target error samples, dividing the abnormal samples into first abnormal samples and second abnormal samples, obtaining an average value of the target normal samples as a reference value, performing error screening on the first abnormal data and the second abnormal data according to the reference value to obtain the first error samples, the second error samples and the third error samples, establishing an abnormal crisp sample library according to the target error samples, the second error samples and the third error samples, analyzing the influence factor weights corresponding to the first error samples, analyzing the influence factor weights corresponding to the second error samples and the third error samples to obtain correction amounts corresponding to the influence factor weights, correcting the abnormal samples according to the analysis results corresponding to the historical influence factor weights, detecting the first error samples, the second error samples and the third error samples, the first error samples and the third error samples are subjected to error screening according to the error correction amounts, and the composite insulation core rod insulation factor detection method can be improved.
On the basis of the above embodiment, the embodiment of the present invention further provides a flowchart of a preferred composite insulator detection method, as shown in fig. 3b, where the method includes:
step 1: collecting i composite insulator working samples A corresponding to historical years i ；
Step 2: according to the abnormal sample data criterion X, A is calculated i Divided into regular sample A i1 And abnormal sample A i2 ；
Step 3: for conventional sample A i1 Extracting key parameters and outputting conventional sample data E i1 ；
Step 4: sample A will be abnormal i2 Divided into general samples A i3 And emphasis sample A i4 For general sample A i3 And emphasis sample A i4 Extracting key parameters and outputting general sample data E i2 And key sample data E i3 ；
Step 5: according to conventional sample A i1 Is subjected to conventional simulation test, and test result E is output i4 ；
Step 6: according to test result E i4 Conventional sample data E i1 Error analysis and sample classification are carried out to obtain a normal sample result A i5 And error sample result A i6 ；
Step 7: result A of normal sample i5 As the reference value E i Output and output error sample result A i6 Analyzing the reason of the number of the steps;
step 8: according to the reference value E i For general sample data E i2 And key sample data E i3 Large error sample screening is carried out to obtain Small error sample a i7 Large error general sample A i8 And major error emphasis sample A i9 ；
Step 9: according to the result of the cause analysis in the step 7, a small error sample A i7 Weakening the influence weight of (a) and carrying out a large error general sample A i8 And major error emphasis sample A i9 Respectively serving as a training set and a verification set, analyzing high-influence weight factors, and correcting an abnormal criterion X according to analysis results;
step 10: establishing correction of high influencing weight factors
；
Step 11: output the i-year correction result E i ’；
Step 12: and establishing an i-year abnormal crisp sample library, and performing core rod crisp detection on the target composite insulator according to the abnormal crisp sample library.
Fig. 4 is a schematic structural diagram of a composite insulator detection device according to a fourth embodiment of the present invention, as shown in fig. 4, the device includes: a sample acquisition module 410, a simulation test module 420, a sample evaluation module 430, and a crispness detection module 440.
The sample collection module 410 is configured to collect a plurality of composite insulator working samples corresponding to historical years, and divide the working samples into a regular sample and an abnormal sample;
the simulation test module 420 is configured to extract target working parameters corresponding to the normal sample and the abnormal sample respectively, and complete a composite insulator core rod crisping simulation test according to the target working parameters corresponding to the normal sample;
The sample evaluation module 430 is configured to determine an evaluation result corresponding to a conventional sample according to a test result, and determine an evaluation result corresponding to an abnormal sample according to the test result and a target working parameter corresponding to the abnormal sample;
and the crisp detection module 440 is configured to establish an abnormal crisp sample library according to the evaluation results respectively corresponding to the normal sample and the abnormal sample, and perform core rod crisp detection on the target composite insulator according to the abnormal crisp sample library.
According to the technical scheme provided by the embodiment of the invention, the working samples of the composite insulator corresponding to a plurality of historical years are collected, the working samples are divided into the conventional samples and the abnormal samples, the target working parameters corresponding to the conventional samples and the abnormal samples are respectively extracted, the composite insulator core rod crisping simulation test is completed according to the target working parameters corresponding to the conventional samples, the evaluation result corresponding to the conventional samples is determined according to the test result, the evaluation result corresponding to the abnormal samples is determined according to the test result and the target working parameters corresponding to the abnormal samples, an abnormal crisping sample library is established according to the evaluation result corresponding to the conventional samples and the abnormal samples, and the core rod crisping detection technical means for the target composite insulator core rod is provided, so that an effective mode for carrying out crisping detection on the composite insulator core rod is provided, and the accuracy of the composite insulator core rod crisping detection result can be improved.
Based on the above embodiments, the sample collection module 410 includes:
the working sample dividing unit is used for dividing the working sample into a conventional sample and an abnormal sample according to a preset abnormal criterion.
The simulation test module 420 includes:
the environment parameter extraction unit is used for extracting environment parameters corresponding to a conventional sample and the elastic modulus of the composite insulator core rod in the conventional sample;
the abnormal parameter extraction unit is used for extracting abnormal environment parameters corresponding to the abnormal samples, time periods corresponding to the abnormal environment parameters and elastic modulus of the composite insulator core rod in the abnormal samples.
The sample evaluation module 430 includes:
the conventional sample data determining unit is used for determining conventional sample data according to the target working parameters corresponding to the conventional samples;
the conventional sample dividing unit is used for determining an error between the test result and conventional sample data and dividing the conventional sample into a target normal sample and a target error sample according to the error;
the error analysis unit is used for analyzing the error reasons corresponding to the target error samples to obtain error analysis results;
an abnormal sample dividing unit for dividing the abnormal sample into a first abnormal sample and a second abnormal sample; the abnormal grade corresponding to the second abnormal sample is greater than the abnormal grade corresponding to the first abnormal sample;
The abnormal data determining unit is used for determining first abnormal data and second abnormal data in the first abnormal sample and the second abnormal sample according to the target working parameters corresponding to the abnormal sample;
the reference value determining unit is used for obtaining a mean value corresponding to the target normal sample and taking the mean value as a reference value;
the error screening unit is used for carrying out error screening on the first abnormal data and the second abnormal data according to the reference value, and dividing the first abnormal sample and the second abnormal sample into a first error sample, a second error sample and a third error sample according to the screening result;
the error grade corresponding to the third error sample is larger than the error grade corresponding to the second error sample; the error grade corresponding to the second error sample is larger than the error grade corresponding to the first error sample;
and the criterion correction unit is used for correcting the abnormal criterion according to the analysis result corresponding to each influence factor weight so as to process a new composite insulator working sample according to the corrected abnormal criterion.
The crisping detection module 440 includes:
the abnormal sample library establishing unit is used for establishing the abnormal crisp sample library according to the target error sample, the second error sample and the third error sample;
The correction amount determining unit is used for reducing the influence factor weight corresponding to the first error sample according to the error analysis result corresponding to the target error sample, and analyzing the influence factor weights corresponding to the second error sample and the third error sample to obtain the correction amount corresponding to the influence factor weight;
a correction result determining unit for determining factor weight correction results corresponding to a plurality of historical years according to the correction amount;
and the insulator detection unit is used for carrying out core rod embrittlement detection on the target composite insulator according to the abnormal embrittlement sample library and the factor weight correction result.
The device can execute the method provided by all the embodiments of the invention, and has the corresponding functional modules and beneficial effects of executing the method. Technical details not described in detail in the embodiments of the present invention can be found in the methods provided in all the foregoing embodiments of the present invention.
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the respective methods and processes described above, such as the composite insulator detection method.
In some embodiments, the composite insulator detection method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the composite insulator detection method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the composite insulator detection method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for detecting a composite insulator, the method comprising:
collecting a plurality of composite insulator working samples corresponding to historical years, and dividing the working samples into conventional samples and abnormal samples;
respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample, and completing a composite insulator core rod crisping simulation test according to the target working parameters corresponding to the conventional sample;
Determining an evaluation result corresponding to a conventional sample according to the test result, and determining an evaluation result corresponding to an abnormal sample according to the test result and a target working parameter corresponding to the abnormal sample;
establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the conventional sample and the abnormal sample, and performing core rod crisp detection on the target composite insulator according to the abnormal crisp sample library;
according to the test result, determining an evaluation result corresponding to the conventional sample comprises the following steps: determining conventional sample data according to target working parameters corresponding to the conventional samples; determining an error between the test result and conventional sample data, and dividing the conventional sample into a target normal sample and a target error sample according to the error; analyzing the error reasons corresponding to the target error samples to obtain error analysis results;
according to the abnormal crisp sample library, core rod crisp detection is carried out on the target composite insulator, and the method comprises the following steps: according to the error analysis result corresponding to the target error sample, reducing the influence factor weight corresponding to the first error sample, and analyzing the influence factor weights corresponding to the second error sample and the third error sample to obtain the correction quantity corresponding to the influence factor weight; determining factor weight correction results corresponding to a plurality of historical years according to the correction quantity; performing core rod embrittlement detection on the target composite insulator according to the abnormal embrittlement sample library and the factor weight correction result;
The first error sample, the second error sample and the third error sample are obtained according to the division of the first abnormal sample and the second abnormal sample; the first abnormal sample and the second abnormal sample are obtained according to the division of the abnormal samples.
2. The method according to claim 1, wherein extracting the target operating parameters corresponding to the normal sample and the abnormal sample, respectively, comprises:
extracting environmental parameters corresponding to a conventional sample, wherein the elastic modulus of a composite insulator core rod in the conventional sample;
and extracting an abnormal environment parameter corresponding to the abnormal sample, a time length corresponding to the abnormal environment parameter and an elastic modulus of the composite insulator core rod in the abnormal sample.
3. The method of claim 1, wherein determining the evaluation result corresponding to the abnormal sample based on the test result and the target operating parameter corresponding to the abnormal sample comprises:
dividing the abnormal sample into a first abnormal sample and a second abnormal sample; the abnormal grade corresponding to the second abnormal sample is greater than the abnormal grade corresponding to the first abnormal sample;
according to the target working parameters corresponding to the abnormal samples, respectively determining first abnormal data and second abnormal data in the first abnormal samples and the second abnormal samples;
Acquiring a mean value corresponding to the target normal sample, and taking the mean value as a reference value;
performing error screening on the first abnormal data and the second abnormal data according to the reference value, and dividing the first abnormal sample and the second abnormal sample into a first error sample, a second error sample and a third error sample according to the screening result;
the error grade corresponding to the third error sample is larger than the error grade corresponding to the second error sample; the error level corresponding to the second error sample is greater than the error level corresponding to the first error sample.
4. A method according to claim 3, wherein establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the normal sample and the abnormal sample comprises:
and establishing the abnormal crisp sample library according to the target error sample, the second error sample and the third error sample.
5. The method of claim 1, wherein dividing the working sample into a regular sample and an abnormal sample comprises:
dividing the working sample into a conventional sample and an abnormal sample according to a preset abnormal criterion;
after reducing the influence factor weight corresponding to the first error sample according to the error analysis result corresponding to the target error sample and analyzing the influence factor weights corresponding to the second error sample and the third error sample, the method further comprises the following steps:
And correcting the abnormal criteria according to analysis results corresponding to the weights of the influence factors, so as to process a new composite insulator working sample according to the corrected abnormal criteria.
6. A composite insulator inspection device, the device comprising:
the sample collection module is used for collecting a plurality of composite insulator working samples corresponding to historical years and dividing the working samples into conventional samples and abnormal samples;
the simulation test module is used for respectively extracting target working parameters corresponding to the conventional sample and the abnormal sample and completing a composite insulator core rod crisping simulation test according to the target working parameters corresponding to the conventional sample;
the sample evaluation module is used for determining an evaluation result corresponding to the conventional sample according to the test result and determining an evaluation result corresponding to the abnormal sample according to the test result and a target working parameter corresponding to the abnormal sample;
the crisp detection module is used for establishing an abnormal crisp sample library according to the evaluation results respectively corresponding to the conventional sample and the abnormal sample, and carrying out core rod crisp detection on the target composite insulator according to the abnormal crisp sample library;
The sample evaluation module is also used for determining conventional sample data according to target working parameters corresponding to the conventional samples; determining an error between the test result and conventional sample data, and dividing the conventional sample into a target normal sample and a target error sample according to the error; analyzing the error reasons corresponding to the target error samples to obtain error analysis results;
the shortcircuit detection module is also used for reducing the influence factor weight corresponding to the first error sample according to the error analysis result corresponding to the target error sample, and analyzing the influence factor weights corresponding to the second error sample and the third error sample to obtain the correction quantity corresponding to the influence factor weight; determining factor weight correction results corresponding to a plurality of historical years according to the correction quantity; performing core rod embrittlement detection on the target composite insulator according to the abnormal embrittlement sample library and the factor weight correction result;
the first error sample, the second error sample and the third error sample are obtained according to the division of the first abnormal sample and the second abnormal sample; the first abnormal sample and the second abnormal sample are obtained according to the division of the abnormal samples.
7. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the composite insulator detection method of any one of claims 1-5.
8. A computer readable storage medium storing computer instructions for causing a processor to perform the composite insulator detection method of any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310348240.XA CN116127326B (en) | 2023-04-04 | 2023-04-04 | Composite insulator detection method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310348240.XA CN116127326B (en) | 2023-04-04 | 2023-04-04 | Composite insulator detection method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116127326A CN116127326A (en) | 2023-05-16 |
| CN116127326B true CN116127326B (en) | 2023-06-23 |
Family
ID=86295854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310348240.XA Active CN116127326B (en) | 2023-04-04 | 2023-04-04 | Composite insulator detection method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116127326B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020248291A1 (en) * | 2019-06-11 | 2020-12-17 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for anomaly detection |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104523265B (en) * | 2014-12-31 | 2017-04-12 | 广州视源电子科技股份有限公司 | Judging method and device for abnormal electrocardio data |
| CN107977710B (en) * | 2017-12-21 | 2020-12-25 | 南方电网科学研究院有限责任公司 | Electricity consumption abnormal data detection method and device |
| CN109086518A (en) * | 2018-08-01 | 2018-12-25 | 国网福建省电力有限公司 | A kind of method of intelligent substation power transmission and transformation primary equipment status assessment |
| CN114236327A (en) * | 2021-11-29 | 2022-03-25 | 国网福建省电力有限公司检修分公司 | Detection device and detection method for composite insulator core rod rotting defect |
-
2023
- 2023-04-04 CN CN202310348240.XA patent/CN116127326B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020248291A1 (en) * | 2019-06-11 | 2020-12-17 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for anomaly detection |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116127326A (en) | 2023-05-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111309539A (en) | Abnormity monitoring method and device and electronic equipment | |
| CN114386537B (en) | Lithium battery fault diagnosis method and device based on Catboost and electronic equipment | |
| CN112907128A (en) | Data analysis method, device, equipment and medium based on AB test result | |
| CN115033463B (en) | System exception type determining method, device, equipment and storage medium | |
| CN113837596A (en) | Fault determination method and device, electronic equipment and storage medium | |
| CN116049146A (en) | Database fault processing method, device, equipment and storage medium | |
| CN114978877A (en) | Exception handling method and device, electronic equipment and computer readable medium | |
| CN116127326B (en) | Composite insulator detection method and device, electronic equipment and storage medium | |
| CN116702005A (en) | Neural network-based data anomaly diagnosis method and electronic equipment | |
| CN116338391A (en) | Insulator state detection method and device, electronic equipment and medium | |
| CN116155541A (en) | Automatic machine learning platform and method for network security application | |
| CN115509797A (en) | Method, device, equipment and medium for determining fault category | |
| CN114881112A (en) | System anomaly detection method, device, equipment and medium | |
| CN115829160B (en) | Time sequence abnormality prediction method, device, equipment and storage medium | |
| CN117493127B (en) | Application program detection method, device, equipment and medium | |
| CN117149486A (en) | Alarm and root cause positioning method, model training method, device, equipment and medium | |
| CN117705178A (en) | Wind power bolt information detection method and device, electronic equipment and storage medium | |
| CN117608896A (en) | Transaction data processing method and device, electronic equipment and storage medium | |
| CN117909717A (en) | Engineering quantity auxiliary acceptance settlement method based on deep learning and data mining | |
| CN116956042A (en) | Method, device, equipment and medium for establishing fault type detection model | |
| CN115098370A (en) | Reliability evaluation method, system, device and storage medium for software system | |
| CN117131990A (en) | Power grid infrastructure information management method and device, electronic equipment and storage medium | |
| CN115344459A (en) | Inspection method, inspection device, storage medium and electronic equipment | |
| CN117422339A (en) | Importance assessment method, device, equipment and medium for power grid nodes | |
| CN117271289A (en) | Webpage monitoring method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |