Online diagnosis method for abrasion of contact of high-voltage switch cabinet
By extracting multi-dimensional time-frequency domain features from time-aligned vibration and current signals, and combining this with analysis of historical operation counts and environmental temperature and humidity, the reliability and accuracy issues of high-voltage switchgear contact wear diagnosis are resolved, enabling efficient wear condition assessment and maintenance recommendations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-18
- Publication Date
- 2026-04-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing methods for diagnosing contact wear in high-voltage switchgear rely on single signal analysis, which cannot fully capture the contact movement state and wear characteristics. They also lack a systematic wear state matching mechanism, resulting in insufficient reliability and repeatability of diagnostic results.
Multi-dimensional time-frequency domain feature extraction is performed using vibration and current signals based on time alignment. Combined with historical operation counts and environmental temperature and humidity, multi-factor coupling analysis is conducted to generate target wear diagnosis results. Efficient conversion is achieved through communication protocol encapsulation and instruction mapping.
It significantly improves the accuracy and completeness of contact motion feature extraction, enhances the comprehensiveness and precision of wear diagnosis, and improves the timeliness and accuracy of high-voltage switchgear maintenance decisions.
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Figure CN121834390A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of electrical measurement, and in particular to a high-voltage switch cabinet contact wear online diagnosis method. BACKGROUND
[0002] The existing high-voltage switch cabinet contact wear diagnosis method usually relies on a single type of monitoring signal for analysis, which is difficult to fully capture the complex motion state and wear characteristics of the contact during the closing and opening process. These methods fail to achieve time alignment of vibration signals and current signals during feature extraction, resulting in deviations in time and frequency domain features, affecting the accuracy and consistency of feature representation.
[0003] Traditional methods often ignore the coupling effect of multiple factors such as historical operation times, environmental temperature and humidity, and cannot accurately assess the cumulative effect of mechanical wear and the degree of oxidation influence, resulting in a deviation of the diagnosis result from the actual working condition. The existing technology lacks a systematic wear state matching mechanism and relies mainly on threshold judgment or manual experience, lacking objective and quantitative judgment basis, resulting in insufficient reliability and low repeatability of the diagnosis result. Therefore, how to improve the reliability of the diagnosis result has become a problem to be solved. SUMMARY
[0004] The present application provides a high-voltage switch cabinet contact wear online diagnosis method to solve the problems raised in the background.
[0005] To achieve the above purpose, the present application provides a high-voltage switch cabinet contact wear online diagnosis method, comprising: S1, based on time alignment of vibration signals and current signals, multi-dimensional time-frequency domain feature extraction is performed on the high-voltage switch cabinet contact to obtain contact motion characteristics of the high-voltage switch cabinet contact; S2, matching the wear state degree of the contact motion characteristics to obtain the contact wear degree of the high-voltage switch cabinet contact; S3, associating the contact wear degree with the wear label to obtain the preliminary wear diagnosis result of the high-voltage switch cabinet contact; S4, based on the historical operation times and environmental temperature and humidity of the high-voltage switch cabinet contact, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain the cumulative effect of wear and the degree of oxidation influence of the high-voltage switch cabinet contact; S5, generating the target wear diagnosis result of the high-voltage switch cabinet contact according to the cumulative effect of wear and the degree of oxidation influence; S6, encapsulating the target wear diagnosis result with a communication protocol to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact; S7, mapping the wear diagnosis data packet to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact.
[0006] In a preferred embodiment, the vibration signal and the current signal based on time alignment are used to extract multi-dimensional time-frequency domain features of the high-voltage switch cabinet contact, to obtain the contact movement features of the high-voltage switch cabinet contact, including: The vibration signal is filtered and normalized to obtain the normalized vibration signal of the high-voltage switch cabinet contact; The current signal is standardized to obtain the standard current signal of the high-voltage switch cabinet contact; The normalized vibration signal and the standard current signal are extracted in time-frequency domain to obtain the contact movement features of the high-voltage switch cabinet contact.
[0007] In a preferred embodiment, the normalized vibration signal and the standard current signal are extracted in time-frequency domain to obtain the contact movement features of the high-voltage switch cabinet contact, including: The normalized vibration signal and the standard current signal are time peak value aligned to obtain the vibration time domain features and the current time domain features of the high-voltage switch cabinet contact; The normalized vibration signal and the standard current signal are frequency spectrum analyzed to obtain the vibration frequency domain features and the current frequency domain features of the high-voltage switch cabinet contact; The current time domain features, the vibration time domain features, the vibration frequency domain features, and the current frequency domain features are collected as the contact movement features of the high-voltage switch cabinet contact.
[0008] In a preferred embodiment, the contact movement features are matched with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact, including: The contact movement features are structured to obtain the to-be-matched feature vector of the contact movement features; The to-be-matched feature vector is scaled to obtain the standard feature vector of the contact movement features; The similarity of the contact movement features is calculated according to the standard feature vector; The similarity is matched with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact.
[0009] In a preferred embodiment, the calculation formula of the similarity is as follows: ; Wherein, is the similarity, is the total number of feature dimensions of the contact movement features, is the feature dimension ordinal number of the contact movement features, a numerical value of a first dimensional feature of the to-be-matched feature vector, a numerical value of a first dimensional feature of the preset feature vector, a weight coefficient of a first dimensional feature of the wear state discrimination importance.
[0010] In a preferred embodiment, the wear label association of the contact wear degree is performed to obtain a preliminary wear diagnosis result of the high-voltage switch cabinet contact, including: a multi-level wear comparison of the contact wear degree is performed to obtain a wear grade of the contact wear degree; a data mapping association of the wear grade is performed to obtain a wear label of the wear grade; a multi-modal information diagnosis of the wear label is performed to obtain a preliminary wear diagnosis result of the high-voltage switch cabinet contact.
[0011] In a preferred embodiment, the multi-factor coupling analysis of the high-voltage switch cabinet contact based on the historical operation times and the environmental temperature and humidity of the high-voltage switch cabinet contact is performed to obtain a wear cumulative effect and an oxidation influence degree of the high-voltage switch cabinet contact, including: a contact performance analysis of the high-voltage switch cabinet contact based on the historical operation times of the high-voltage switch cabinet contact is performed to obtain a wear cumulative effect of the high-voltage switch cabinet contact; an influence evaluation of a material state of the high-voltage switch cabinet contact based on the environmental temperature and humidity of the high-voltage switch cabinet contact is performed to obtain an oxidation influence degree of the high-voltage switch cabinet contact.
[0012] In a preferred embodiment, the target wear diagnosis result of the high-voltage switch cabinet contact is generated according to the wear cumulative effect and the oxidation influence degree, including: an influence quantitative analysis of the wear cumulative effect is performed to obtain a mechanical wear influence factor of the high-voltage switch cabinet contact; an effect intensity evaluation of the oxidation influence degree is performed to obtain a material state influence factor of the high-voltage switch cabinet contact; a dynamic correction strategy of the high-voltage switch cabinet contact is generated according to the mechanical wear influence factor and the material state influence factor; a numerical calibration of the preliminary wear diagnosis result based on the dynamic correction strategy is performed to obtain a target wear diagnosis result of the high-voltage switch cabinet contact.
[0013] In a preferred embodiment, the wear diagnosis data packet of the high-voltage switch cabinet contact is obtained by performing communication protocol packaging on the target wear diagnosis result, including: Based on the preset communication protocol format, the target wear diagnosis result is data encapsulated to obtain a structured data body of the target wear diagnosis result; The structured data body is added with a protocol header field to obtain a partial data frame of the structured data body; The partial data frame is adjusted with a tail check code to obtain a complete data frame of the structured data body; The complete data frame is converted with a byte sequence to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact.
[0014] To solve the above problems, the application also provides a high-voltage switch cabinet contact wear online diagnosis, which comprises: In a preferred embodiment, the wear diagnosis data packet is mapped with instructions to obtain maintenance suggestion instructions for the high-voltage switch cabinet contact, comprising: The wear diagnosis data packet is extracted with diagnosis information to obtain a key diagnosis information field of the high-voltage switch cabinet contact; The key diagnosis information field is matched and corrected with information to obtain maintenance execution parameters of the high-voltage switch cabinet contact; The maintenance execution parameters are encoded to obtain the maintenance suggestion instructions for the high-voltage switch cabinet contact.
[0015] Compared with the prior art, the application has the following beneficial effects: 1. The application can fully and accurately represent the motion characteristics of the high-voltage switch cabinet contact by extracting multi-dimensional time-frequency domain features of the vibration signal and the current signal based on time sequence alignment, significantly improving the integrity and accuracy of the contact motion feature extraction. By matching the contact motion features with the wear state degree, the precise quantitative evaluation of the contact wear degree is realized, and the objectivity and reliability of the wear state discrimination are improved; 2. The application can accurately evaluate the cumulative effect of wear and the degree of oxidation influence by coupling analysis of multiple factors such as historical operation times and environmental temperature and humidity, significantly improving the comprehensiveness and accuracy of the high-voltage switch cabinet contact wear diagnosis. By generating target wear diagnosis results and performing communication protocol encapsulation and instruction mapping, the efficient conversion of diagnosis results to maintenance suggestions is realized, and the timeliness and accuracy of high-voltage switch cabinet maintenance decisions are improved. BRIEF DESCRIPTION OF DRAWINGS
[0016] Figure 1 A flowchart of a high-voltage switch cabinet contact wear online diagnosis method according to an embodiment of the application is provided; The implementation, functional characteristics and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION
[0017] It should be understood that the specific embodiments described herein are merely exemplary and not intended to limit the application.
[0018] Embodiments of the present application provide a power consumption prediction method. The execution subject of the power consumption prediction method includes but is not limited to at least one of electronic devices such as a server, a terminal, etc., which can be configured to execute the method provided by the embodiments of the present application. In other words, the power consumption prediction method can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be a stand-alone server, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and basic cloud computing services such as big data and artificial intelligence platforms, etc.
[0019] Referring to Figure 1 FIG. 1 shows a flowchart of a high-voltage switch cabinet contact wear online diagnosis method according to an embodiment of the present application. In this embodiment, the high-voltage switch cabinet contact wear online diagnosis method includes: S1, based on time sequence alignment of vibration signals and current signals, multi-dimensional time-frequency domain feature extraction is performed on the high-voltage switch cabinet contact to obtain contact movement features of the high-voltage switch cabinet contact; In the embodiment of the present application, based on time sequence alignment of vibration signals and current signals, multi-dimensional time-frequency domain feature extraction is performed on the high-voltage switch cabinet contact to obtain contact movement features of the high-voltage switch cabinet contact, including: filtering and normalizing the vibration signals to obtain normalized vibration signals of the high-voltage switch cabinet contact; standardizing the current signals to obtain standard current signals of the high-voltage switch cabinet contact; performing time-frequency domain layered feature extraction on the normalized vibration signals and the standard current signals to obtain contact movement features of the high-voltage switch cabinet contact.
[0020] The time-frequency domain layered feature extraction on the normalized vibration signals and the standard current signals to obtain contact movement features of the high-voltage switch cabinet contact includes: aligning the normalized vibration signals and the standard current signals in time peak value reference to obtain vibration time domain features and current time domain features of the high-voltage switch cabinet contact; performing frequency spectrum analysis on the normalized vibration signals and the standard current signals to obtain vibration frequency domain features and current frequency domain features of the high-voltage switch cabinet contact; The current time domain feature, the vibration time domain feature, the vibration frequency domain feature and the current frequency domain feature are collected as the contact movement feature of the high-voltage switch cabinet contact.
[0021] Specifically, first, the timing-aligned vibration signal and current signal related to the high-voltage switch cabinet contact are acquired, ensuring that the starting, ending time and sampling interval of the two signals are completely matched in the time dimension, laying the foundation for subsequent processing, then the vibration signal is filtered and normalized, the filtering processing adopts a fixed low-pass filtering method, removes the interference signal with a frequency higher than a preset fixed value in the vibration signal, and retains the effective vibration frequency component related to the contact movement, and the normalization processing is to first calculate the maximum value and minimum value of all sampling points of the vibration signal, then subtract the minimum value from the value of each sampling point and divide by the difference between the maximum value and the minimum value, through such operation, the value range of the vibration signal is uniformly mapped to a specific interval, and finally the regular vibration signal of the high-voltage switch cabinet contact is obtained.
[0022] Further, after the timing-aligned current signal is acquired, it is standardized, first calculating the average value and standard deviation of the values of all sampling points of the current signal, the average value is obtained by adding the values of all sampling points and dividing by the total number of sampling points, the standard deviation is obtained by first calculating the square of the difference between the value of each sampling point and the average value, then calculating the average value of these square values, and finally taking the square root of the average value, then subtracting the calculated average value from the value of each sampling point and dividing by the standard deviation, through a series of operations, the numerical scale difference of the current signal caused by factors such as measurement environment and initial state of the equipment is eliminated, thereby obtaining the standard current signal of the high-voltage switch cabinet contact.
[0023] Further, the specific hierarchical extraction method of the time-frequency domain hierarchical feature is determined first. The regular vibration signal and the standard current signal are both divided into multiple continuous time periods of fixed length according to the time interval, and each time period is taken as a time hierarchy. Meanwhile, the frequency range of the two signals is divided into multiple non-overlapping continuous frequency bands according to the frequency interval, and each frequency band is taken as a frequency hierarchy. The time hierarchy and the frequency hierarchy are combined to form multiple time-frequency hierarchical areas. For the regular vibration signal, the average amplitude of the signal in each time-frequency hierarchical area is calculated, that is, the amplitude values of all sampling points in the area are added first, and then divided by the number of sampling points in the area, which is taken as the vibration feature corresponding to the time-frequency hierarchical area. For the standard current signal, the average intensity of the signal in each time-frequency hierarchical area is calculated, that is, the current intensity values of all sampling points in the area are added first, and then divided by the number of sampling points in the area, which is taken as the current feature corresponding to the time-frequency hierarchical area. The vibration features and current features corresponding to all time-frequency hierarchical areas are collected, and all features are arranged in order according to the time-frequency hierarchical area during the collection, and finally the contact movement feature of the high-voltage switch cabinet contact is obtained.
[0024] Specifically, the existing regular vibration signal and standard current signal are obtained first, and the numerical value change of the two signals is observed point by point to find the time when the numerical value of the regular vibration signal reaches the maximum value, and the time when the numerical value of the standard current signal reaches the maximum value. The time points corresponding to the two maximum values are adjusted to be the same time point, so as to realize the alignment of the time peak value reference of the two signals. During the alignment process, the numerical sequence of the two signals before and after the peak time is kept unchanged with the corresponding relationship of the original signal, and the waveform structure of the signal itself is not changed. After the alignment operation is completed, the regular vibration signal at this time is the vibration time domain feature of the high-voltage switch cabinet contact, and the standard current signal at this time is the current time domain feature of the high-voltage switch cabinet contact.
[0025] Further, a fixed spectrum analysis method is selected to process the regular vibration signal and the standard current signal after the time peak value reference alignment. When processing the regular vibration signal, it is decomposed into multiple signal components of different frequencies by the spectrum analysis method, and the amplitude, duration and proportion of each frequency component signal in the whole signal are observed and recorded. These frequency-related information is sorted and summarized to form the vibration frequency domain feature of the high-voltage switch cabinet contact. When processing the standard current signal, it is also decomposed into multiple signal components of different frequencies by the spectrum analysis method, and the intensity, time law and trend of each frequency component signal are observed and recorded. These frequency-related information is sorted and summarized to form the current frequency domain feature of the high-voltage switch cabinet contact.
[0026] Further, the four types of features that need to be collected are clearly defined, i.e. the previously obtained current time domain features, vibration time domain features, vibration frequency domain features and current frequency domain features, a fixed feature collection order is determined, and the four types of features are integrated in sequence according to the order. During the integration process, the original information of any type of feature is not modified or deleted, ensuring that the information related to the contact movement of the high-voltage switch cabinet contact contained in each type of feature is completely preserved, and the feature set formed by the ordered integration is the contact movement feature of the high-voltage switch cabinet contact.
[0027] In summary, in the process of extracting multi-dimensional time-frequency domain features of the high-voltage switch cabinet contact to obtain the contact movement feature, first, the vibration signal after time alignment is subjected to filtering and normalization processing, the fixed low-pass filtering method is used to remove the high-frequency interference components in the vibration signal that are irrelevant to the contact movement, and the effective vibration frequency is retained. Then, the maximum value and the minimum value of all sampling points of the vibration signal are calculated, and each sampling point value is divided by the difference between the maximum value and the minimum value after subtracting the minimum value, so that the vibration signal value range is uniformly mapped to a specific interval, and finally the normalized vibration signal of the high-voltage switch cabinet contact is obtained.
[0028] In summary, then the current signal after time alignment is subjected to standardization processing, the average value and the standard deviation of all sampling points of the current signal are calculated, the average value is obtained by adding the values of all sampling points and dividing by the total number of sampling points, and the standard deviation is obtained by calculating the square of the difference between each sampling point value and the average value, taking the average of these square values, and then taking the square root. Then, each sampling point value is subtracted from the average value and divided by the standard deviation to eliminate the numerical scale difference of the current signal caused by external factors, and then the standard current signal of the high-voltage switch cabinet contact is obtained.
[0029] In summary, finally, the normalized vibration signal and the standard current signal are subjected to time-frequency domain layered feature extraction, the two types of signals are first divided into multiple continuous time layers of fixed length according to the time interval, and multiple non-overlapping continuous frequency layers according to the frequency interval, so that the time layers and the frequency layers are combined to form multiple time-frequency layered regions. Then, in each time-frequency layered region, the average amplitude of the normalized vibration signal and the average intensity of the standard current signal are calculated, the average amplitude and the average intensity are obtained by adding the values of the corresponding signal sampling points in the region and dividing by the number of sampling points. Then, the vibration features and current features of all time-frequency layered regions are summarized in a certain order, and finally the contact movement feature of the high-voltage switch cabinet contact is obtained.
[0030] Overall, the method first filters the vibration signal through a Butterworth band-pass filter, and converts the signal amplitude to a standard interval using the min-max normalization method to obtain a normalized vibration signal; then the sliding window average method is used to eliminate the DC bias component of the current signal, and linear scaling processing is performed according to the rated current value to obtain a standard current signal; finally, the time-frequency features of the vibration signal and the phase harmonic features of the current signal are extracted through short-time Fourier transform and Hilbert transform, respectively, and the time-frequency features of the two types of signals are accurately aligned and fused according to the sampling time points, thereby obtaining a multi-dimensional feature set comprehensively representing the contact motion state.
[0031] Overall, in the process of extracting features in time and frequency domains of the normalized vibration signal and the standard current signal to obtain the contact motion features of the high-voltage switch cabinet, first, time peak reference alignment operation is performed on the two signals, and the time points when the respective values reach the maximum are found by point-by-point observation. The two time points are adjusted to be the same, while the corresponding relationship between the signal value sequences before and after the peak time and the original signal is maintained, and the signal waveform structure is not changed. Finally, the vibration time domain features and current time domain features of the high-voltage switch cabinet contact are obtained from the aligned signals.
[0032] Overall, after completing the time peak reference alignment, the normalized vibration signal and the standard current signal are then subjected to spectrum analysis, and the two signals are decomposed into signals of different frequency components using a fixed spectrum analysis method. For each frequency component of the vibration signal, its amplitude, duration, and other information are observed and recorded; for each frequency component of the current signal, its intensity, appearance regularity, and other information are observed and recorded. Through such analysis and arrangement, the vibration frequency domain features and current frequency domain features of the high-voltage switch cabinet contact are obtained.
[0033] Overall, after obtaining the four types of features: current time domain features, vibration time domain features, vibration frequency domain features, and current frequency domain features, they are integrated in a predetermined fixed order. During the integration process, no original information contained in any type of feature is modified or deleted, ensuring that all feature information related to the contact motion of the high-voltage switch cabinet contact is completely preserved. Through ordered integration, the contact motion features of the high-voltage switch cabinet contact are finally formed.
[0034] S2, matching the contact motion features with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact; In the embodiments of the present application, matching the contact motion features with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact includes: performing feature structuring processing on the contact motion features to obtain a to-be-matched feature vector of the contact motion features; Scale the to-be-matched feature vector to obtain a standard feature vector of the contact motion feature; According to the standard feature vector, multi-dimensional similarity measurement is performed to calculate the similarity of the contact motion feature; The similarity is subjected to wear state degree adaptation to obtain the contact wear degree of the high-voltage switch cabinet contact.
[0035] In the embodiment of the application, the calculation formula of the similarity is as follows: ; Wherein, is the similarity, is the total number of feature dimensions of the contact motion feature, is the feature dimension ordinal number of the contact motion feature, is the value of the to-be-matched feature vector in the first dimension feature, is the value of the preset feature vector in the first dimension feature, is the weight coefficient of the wear state discrimination importance in the first dimension feature.
[0036] Specifically, the specific sub-features contained in the contact motion feature are first determined, which include the current time domain feature, the vibration time domain feature, the vibration frequency domain feature and the current frequency domain feature obtained before, then the specific data of each sub-feature is sorted, such as the specific information of the current intensity changing with time in the current time domain feature, the specific information of the amplitude changing with time in the vibration time domain feature, the amplitude information corresponding to different frequencies in the vibration frequency domain feature and the intensity information corresponding to different frequencies in the current frequency domain feature, then the specific data of these sub-features are arranged in a fixed order according to the pre-set fixed order to form a vector structure with clear dimension division and data arrangement logic, and finally the to-be-matched feature vector of the contact motion feature is obtained through a series of structured processing operations.
[0037] Further, a large amount of feature data of the same type of high-voltage switch cabinet contact under different operating conditions is first collected, and the normal data range of each dimension sub-feature in the to-be-matched feature vector is counted, which can cover the common numerical interval of the sub-feature under normal operation and different wear states, then for each dimension sub-feature of the to-be-matched feature vector, the difference between the current value of the sub-feature and the minimum value of the corresponding normal data range is calculated, and then the difference is divided by the difference between the maximum value and the minimum value of the normal data range to obtain the standardized value of each dimension sub-feature under the unified scale, and all the standardized values of the dimensions are recombined in the original sub-feature order to form a new vector, and finally the standard feature vector of the contact motion feature is obtained.
[0038] Further, a set of contact wear state reference feature vectors is first established, each reference feature vector in the set corresponding to a known contact wear state, and the dimension of each reference feature vector being completely consistent with that of the standard feature vector. Then, for each dimension of the standard feature vector, the absolute difference between the value of the dimension and the value of the corresponding dimension of each reference feature vector is calculated, and the absolute differences of all dimensions are added to obtain the total difference value between the standard feature vector and each reference feature vector. Then, the maximum possible total difference value is set, and the current total difference value is subtracted from the maximum possible total difference value, and the result is divided by the maximum possible total difference value to obtain the similarity degree between the standard feature vector and the corresponding reference feature vector. Among all the similarity degrees corresponding to the reference feature vectors, the one with the highest value is selected as the similarity degree of the contact motion feature.
[0039] Further, based on a large amount of high-voltage switch cabinet contact wear experimental data, a corresponding rule between similarity and wear state degree is preset, for example, a similarity in a higher interval corresponds to a slight contact wear state, a similarity in a medium interval corresponds to a moderate contact wear state, and a similarity in a lower interval corresponds to a severe contact wear state. The boundary values of each interval are determined by the corresponding relationship between the similarity and the actual wear degree in the experiment. Then, the calculated contact motion feature similarity is compared with the intervals in the preset rule one by one to determine which interval the similarity falls into. Then, according to the wear state degree corresponding to the interval, the specific wear level of the current high-voltage switch cabinet contact is determined. Through such state adaptation operation, the contact wear degree of the high-voltage switch cabinet contact is finally obtained.
[0040] Specifically, in the process of matching the contact motion feature with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact, first, the feature structuring processing is carried out on the contact motion feature, the various sub-features contained in the contact motion feature and their mutual relationship are sorted out, and the originally dispersed and unstructured feature information is arranged into a vector form with fixed format and dimension. Through such processing, the to-be-matched feature vector of the contact motion feature is finally obtained.
[0041] Further, the similarity is obtained by a specific calculation on the contact motion feature related data, and is used to reflect the similarity level between the to-be-matched feature vector and the preset feature vector. The specific value is determined by the subsequent operation process on the feature dimension data. The total number of feature dimensions of the contact motion feature is determined according to the specific sub-feature categories contained in the contact motion feature. These sub-features include the current time domain feature, the vibration time domain feature, the vibration frequency domain feature and the current frequency domain feature extracted before. The total number of feature dimensions is obtained by counting the specific category number of these sub-features.
[0042] Further, the feature dimension ordinal number of the contact movement feature is obtained by sequentially identifying all feature dimensions in a preset fixed order. In the identification process, the corresponding ordinal number is assigned one by one according to the category order of the feature dimensions, which is used to distinguish different feature dimensions and ensure that each feature dimension has a unique ordinal number corresponding thereto. The value of the corresponding dimension feature in the preset feature vector is obtained from a to-be-matched feature vector obtained after feature structuring processing of the contact movement feature. In the feature structuring processing, the sub-feature data of the contact movement feature is arranged in the to-be-matched feature vector in dimension order, and the value corresponding to each dimension is the specific data of the dimension feature in the to-be-matched feature vector.
[0043] Further, the value of the corresponding dimension feature in the preset feature vector is obtained from a pre-established contact wear state reference feature vector set. Each preset feature vector in the set corresponds to a known contact wear state, and the values of the dimensions in the vector are determined by analyzing and arranging a large number of contact movement features of known wear states. The value corresponding to each dimension is the specific reference data of the dimension feature in the preset feature vector.
[0044] Further, the weight coefficient of the wear state discrimination importance in the corresponding dimension feature is obtained by analyzing a large number of high-voltage switch cabinet contact wear experimental data. In the analysis process, the influence degree of different feature dimensions on the wear state discrimination result is counted, a higher weight coefficient is assigned to a feature dimension with a high influence degree, and a lower weight coefficient is assigned to a feature dimension with a low influence degree, so as to determine the weight coefficient corresponding to each feature dimension.
[0045] Further, the significance of the calculation process is to quantify the differences between the to-be-matched feature vector and the preset feature vector in each dimension. By combining the weight coefficients of the dimensions, the differences scattered in different dimensions are integrated into a unified similarity result. This similarity result can be directly used in the subsequent adaptation process of the contact wear state degree, providing a quantitative basis for accurately obtaining the contact wear degree of the high-voltage switch cabinet contact, ensuring the objectivity and accuracy of the wear state judgment process, and avoiding errors caused by subjective judgment.
[0046] Further, when the value of a dimension of the to-be-matched feature vector and the value of the corresponding dimension of the preset feature vector are different, the operation result corresponding to the dimension increases, and if the weight coefficient of the dimension is high, the increase of the operation result has a more obvious effect on the final similarity result, and finally the value of the similarity result increases, indicating that the similarity of the to-be-matched feature vector and the preset feature vector decreases. When the value of a dimension of the to-be-matched feature vector and the value of the corresponding dimension of the preset feature vector are different, the operation result corresponding to the dimension decreases, and if the weight coefficient of the dimension is high, the decrease of the operation result has a more obvious effect on the final similarity result, and finally the value of the similarity result decreases, indicating that the similarity of the to-be-matched feature vector and the preset feature vector increases.
[0047] In general, under the condition that the value difference of each dimension is fixed, when the weight coefficient of a dimension increases, the influence of the operation result corresponding to the dimension on the final similarity result is enhanced, and if the value difference of the dimension is large, the value of the similarity result increases more greatly; if the value difference of the dimension is small, the value of the similarity result decreases more greatly, and the influence of the dimension with a reduced weight coefficient on the similarity result is weakened accordingly.
[0048] In general, after the feature structuring processing is completed, the to-be-matched feature vector obtained is then scaled, a unified scaling manner is adopted to eliminate the influence of the value range difference of different dimension sub-features in the to-be-matched feature vector, so that the values of each dimension of the vector are in a consistent scale range, and it is ensured that each dimension feature can participate in the calculation fairly in subsequent similarity measurement. The standard feature vector of the contact motion feature is obtained through the scaling process.
[0049] In general, after the standard feature vector is obtained, multi-dimensional similarity measurement is performed according to the standard feature vector, the fitting degree of the vector and the preset contact wear state reference feature information in the corresponding dimension is compared one by one from each feature dimension included in the standard feature vector, and then a result reflecting the overall similarity level is calculated by comprehensively considering the fitting conditions of all dimensions. The result is the similarity of the contact motion feature.
[0050] In general, after the similarity is obtained, the wear state degree is adapted to the similarity, according to the corresponding rule between the preset similarity value and the contact wear state degree, the specific wear state degree grade corresponding to the currently calculated similarity is judged, and the similarity is accurately matched to the corresponding wear grade. Through the adaptation process, the contact wear degree of the high-voltage switch cabinet contact is finally obtained.
[0051] In general, the similarity calculation formula has clear practical significance, and its core role is to quantify the difference between the to-be-matched feature vector and the preset feature vector, combine the weight coefficients of each feature dimension, and convert the dispersed feature differences of each dimension into a unified similarity index. This index can be directly related to the wear state judgment of the high-voltage switch cabinet contact, and provides accurate quantitative basis for subsequent wear state degree adaptation and contact wear degree based on similarity, ensures that the wear state judgment process has quantifiable and comparable standards, and avoids subjectivity and uncertainty in judgment.
[0052] S3, the contact wear degree is associated with a wear label to obtain a preliminary wear diagnosis result of the high-voltage switch cabinet contact; In the embodiment of the application, the contact wear degree is associated with a wear label to obtain a preliminary wear diagnosis result of the high-voltage switch cabinet contact, including: The contact wear degree is compared with a multi-level wear to obtain a wear grade of the contact wear degree; The wear grade is associated with data mapping to obtain a wear label of the wear grade; The wear label is diagnosed with multi-modal information to obtain a preliminary wear diagnosis result of the high-voltage switch cabinet contact.
[0053] Specifically, the contact wear degree is compared with a multi-level wear to obtain a wear grade of the contact wear degree, and the specific operation process is: based on a large amount of historical wear detection data, actual operation and maintenance records of high-voltage switch cabinet contacts and industry classification standards for contact wear state, a multi-level wear range corresponding to different wear severity is divided, each wear range clearly defines the value interval of the contact wear degree in the range, and each wear range corresponds to a wear grade definition with clear physical meaning; the contact wear degree obtained previously is compared with the preset multi-level wear range one by one, it is judged that the contact wear degree falls in which value interval of the wear range, and the wear grade definition corresponding to the interval is the wear grade of the contact wear degree.
[0054] Further, the wear grade is data-mapped and associated to obtain a wear label of the wear grade. The specific operation process is: a one-to-one mapping relationship table of wear grade and wear label is constructed in advance. The construction of the mapping relationship table is based on the standardized description specification of the contact wear state in the industry, the understanding needs of the operation and maintenance personnel on the wear information, and the matching relationship of the wear grade and the actual wear characteristics in the historical diagnosis cases. Each wear grade corresponds to a unique wear label in the mapping relationship table. The wear label needs to accurately summarize the core wear characteristics of the corresponding wear grade. According to the wear grade obtained in the previous step, the completely matched entry in the preset mapping relationship table is found, and the wear label recorded under the entry is extracted, that is, the wear label of the wear grade.
[0055] Further, the wear label is diagnosed by multi-modal information to obtain the preliminary wear diagnosis result of the high-voltage switch cabinet contact. The specific operation process is: first, determine the type of multi-modal information participating in the diagnosis, including the contact historical operation data, real-time working condition data and typical case data related to the wear label; take the wear label as an index to call the above multi-modal information from the database, integrate and analyze the called information-judge whether the wear label of the current contact is consistent with the historical wear trend, whether there is an abnormal association with the real-time working condition data, and whether it matches the wear characteristics in the typical case data, and then determine the running risk of the contact under the current wear state, whether it needs to be monitored or the maintenance process is started; the conclusion after the integrated analysis is presented in the form of a structured diagnosis statement. The statement needs to include wear state description, risk assessment and preliminary processing suggestion, which is the preliminary wear diagnosis result of the high-voltage switch cabinet contact.
[0056] In general, in the process of associating the wear label with the contact wear degree to obtain the preliminary wear diagnosis result of the high-voltage switch cabinet contact, first, multi-level wear comparison is carried out for the contact wear degree. According to the preset multi-level wear judgment standard covering different wear degree intervals, the current contact wear degree is compared with each wear interval in the standard one by one to determine the specific wear interval to which the wear degree belongs, and then the wear grade of the contact wear degree is obtained.
[0057] In general, after obtaining the wear grade, the wear grade is then data-mapped and associated. According to the pre-established correspondence between the wear grade and the wear label, the correspondence determines the exclusive wear label matched by each wear grade. The determined wear grade is substituted into the correspondence to find the precisely matched label, thereby obtaining the wear label of the wear grade.
[0058] Overall, after obtaining the wear label, the last multi-modal information diagnosis of the wear label is performed, and multi-modal information related to the operation of the high-voltage switch cabinet contact is collected, including the contact movement features extracted before, the key information in the signal processing process, etc. The wear label and the multi-modal information are comprehensively analyzed, the correlation between various types of information is judged, the actual wear condition of the contact is determined, and finally the preliminary wear diagnosis result of the high-voltage switch cabinet contact is obtained.
[0059] S4, based on the historical operation times of the high-voltage switch cabinet contact and the environmental temperature and humidity, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain the wear accumulation effect and oxidation influence degree of the high-voltage switch cabinet contact. In the embodiment of the application, based on the historical operation times of the high-voltage switch cabinet contact and the environmental temperature and humidity, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain the wear accumulation effect and oxidation influence degree of the high-voltage switch cabinet contact, including: Based on the historical operation times of the high-voltage switch cabinet contact, the contact performance of the high-voltage switch cabinet contact is analyzed to obtain the wear accumulation effect of the high-voltage switch cabinet contact. Based on the environmental temperature and humidity of the high-voltage switch cabinet contact, the material state of the high-voltage switch cabinet contact is evaluated to obtain the oxidation influence degree of the high-voltage switch cabinet contact.
[0060] Specifically, based on the historical operation times of the high-voltage switch cabinet contact, the contact performance of the high-voltage switch cabinet contact is analyzed to obtain the wear accumulation effect of the high-voltage switch cabinet contact, and the specific operation process is as follows: first, the historical operation time data of the contact is extracted from the operation and maintenance management record of the high-voltage switch cabinet, which needs to record the operation time and corresponding operation type of the contact each time it is closed and opened; then, combined with the contact working condition parameters at each operation of the contact and the wear resistance characteristics of the core material of the contact, the contact performance is analyzed; when analyzing, the wear amount of the contact due to mechanical friction under single operation is calculated first, then the single wear amount corresponding to all historical operation times is added, and the change law of the wear amount with the increase of the operation times in the accumulation process is tracked, so that the accumulation state of mechanical wear after multiple operations is determined, and finally the wear accumulation effect of the high-voltage switch cabinet contact is obtained.
[0061] Further, based on the environment temperature and humidity of the high-voltage switch cabinet contact, the material state of the high-voltage switch cabinet contact is evaluated to obtain the oxidation influence degree of the high-voltage switch cabinet contact. The specific operation process is as follows: first, the historical temperature and humidity data of the environment of the contact are called from the temperature and humidity monitoring sensor installed in the high-voltage switch cabinet. The data needs to cover the temperature value, relative humidity value and duration of each temperature and humidity condition in different time periods during the use cycle of the contact; then, based on the material composition of the contact, the oxidation reaction characteristic data of the material under different temperature and humidity environments are called to evaluate the influence on the material state; during the evaluation, the historical temperature and humidity data are divided into different intervals according to the value range, the duration of each interval is counted, and the activity degree of the material oxidation reaction under different intervals is analyzed. Combined with the correlation between the material oxidation degree and the conductivity and mechanical strength of the contact, the severity of the oxidation of the contact material under the historical temperature and humidity conditions is judged, including the possible thickness of the oxidation layer and the influence trend of the oxidation product on the performance of the contact, and finally the oxidation influence degree of the high-voltage switch cabinet contact is obtained.
[0062] In summary, in the process of multi-factor coupling analysis based on the historical operation times and environment temperature and humidity of the high-voltage switch cabinet contact, first, the contact performance analysis is carried out for the historical operation times. By analyzing the contact state change, contact pressure fluctuation and other conditions in each operation, combined with the cumulative change rule of the surface morphology of the contact after multiple operations, the correlation between the operation times and the contact performance degradation is analyzed, and then the wear accumulation effect of the high-voltage switch cabinet contact is obtained.
[0063] In summary, the material state influence evaluation is carried out for the environment temperature and humidity of the high-voltage switch cabinet contact. The occurrence probability of the oxidation reaction of the contact material surface, the change trend of the oxidation layer thickness and the influence of the temperature and humidity synergy on the material oxidation rate under different temperature and humidity conditions are investigated. Through analyzing the correlation degree of these factors and the material performance degradation, finally the oxidation influence degree of the high-voltage switch cabinet contact is obtained.
[0064] S5, generating the target wear diagnosis result of the high-voltage switch cabinet contact according to the wear accumulation effect and the oxidation influence degree; In the embodiment of the application, the target wear diagnosis result of the high-voltage switch cabinet contact is generated according to the wear accumulation effect and the oxidation influence degree, which includes: The influence quantitative analysis of the wear accumulation effect is carried out to obtain the mechanical wear influence factor of the high-voltage switch cabinet contact; The effect strength evaluation of the oxidation influence degree is carried out to obtain the material state influence factor of the high-voltage switch cabinet contact; The dynamic correction strategy of the high-voltage switch cabinet contact is generated according to the mechanical wear influence factor and the material state influence factor; Based on the dynamic correction strategy, the preliminary wear diagnosis result is numerically calibrated to obtain a target wear diagnosis result of the high-voltage switch cabinet contact.
[0065] Specifically, the influence of the wear accumulation effect is quantitatively analyzed to obtain a mechanical wear influence factor of the high-voltage switch cabinet contact. In implementation, the previously obtained information related to the wear accumulation effect is first sorted, including the single wear amount corresponding to each operation, the total wear amount after accumulation of all single wear amounts, and the law of wear amount change with operation number. Then, according to the design and use standards of the high-voltage switch cabinet contact, the maximum mechanical wear total amount allowed for the contact in the entire service life is determined. Then, the actual accumulated total wear amount is compared with the maximum mechanical wear total amount allowed, and the proportion of the actual wear amount to the maximum wear amount allowed is calculated. Meanwhile, in combination with the change trend of the wear amount with the operation number, it is determined whether the current wear speed is within the normal range. If the wear speed is normal, the influence factor value is slightly adjusted downward based on the proportion. If the wear speed is too fast, the influence factor value is appropriately adjusted upward based on the proportion. The adjusted proportion value obtained finally is the mechanical wear influence factor.
[0066] Further, the effect strength of the oxidation influence degree is evaluated to obtain a material state influence factor of the high-voltage switch cabinet contact. In implementation, the previously obtained information related to the oxidation influence degree is first sorted, including the oxidation reaction activity of the contact material in different temperature and humidity intervals, the possible thickness of the oxidation layer, and the influence trend of the oxidation product on the performance of the contact. Then, the performance standards of the high-voltage switch cabinet contact material are referred to to determine the electrical conductivity and mechanical strength indicators of the material in the normal state. Then, the electrical conductivity and mechanical strength of the current contact are actually detected by professional detection equipment. The actual performance data obtained by detection is compared with the standard performance indicators to calculate the performance decline amplitude of the actual performance data compared with the standard performance indicators. Meanwhile, according to the thickness of the oxidation layer and the influence trend of the oxidation product, if the oxidation layer is thin and the oxidation product has a small influence on the performance, the influence factor value is slightly reduced based on the performance decline amplitude. If the oxidation layer is thick and the oxidation product has a large influence on the performance, the influence factor value is appropriately increased based on the performance decline amplitude. The finally determined value is the material state influence factor. Further, according to the mechanical wear influence factor and the material state influence factor, a dynamic correction strategy of the high-voltage switch cabinet contact is generated. When implemented, it is first determined that the mechanical wear influence factor reflects the influence degree of mechanical wear on the performance of the contact, and the material state influence factor reflects the influence degree of oxidation on the performance of the contact. Then, the numerical values of the two influence factors are judged. If the numerical value of the mechanical wear influence factor is greater than that of the material state influence factor, it indicates that mechanical wear is the main factor affecting the performance of the contact. The dynamic correction strategy focuses on reducing mechanical wear, specifically including adjusting the frequency of contact operation to avoid unnecessary opening and closing operations, and regularly cleaning and lubricating the contact part to reduce friction resistance during operation. If the numerical value of the material state influence factor is greater than that of the mechanical wear influence factor, it indicates that oxidation is the main reason affecting the performance of the contact. The dynamic correction strategy focuses on inhibiting oxidation reaction, specifically including installing a dehumidification device inside the high-voltage switch cabinet to reduce the environmental humidity, and applying an antioxidant coating on the surface of the contact to isolate the direct contact between air and the contact material, thereby slowing down the oxidation speed. If the numerical values of the two influence factors are similar, it indicates that the influence degree of mechanical wear and oxidation on the performance of the contact is comparable. The dynamic correction strategy takes into account both reducing mechanical wear and inhibiting oxidation reaction, and comprehensively adopts the above measures such as adjusting the operation frequency, cleaning and lubricating, installing a dehumidification device, and applying an antioxidant coating, to generate the dynamic correction strategy in this way.
[0067] Further, based on the dynamic correction strategy, the preliminary wear diagnosis result is numerically calibrated to obtain the target wear diagnosis result of the high-voltage switch cabinet contact. When implemented, the preliminary wear diagnosis result is first obtained, which includes a preliminary numerical judgment of the current wear degree of the contact. Then, according to the core influencing factors and corresponding measures determined in the dynamic correction strategy, the adjustment direction and amplitude of the preliminary wear diagnosis result value are analyzed. If the dynamic correction strategy focuses on reducing mechanical wear, and the wear value caused by mechanical wear in the preliminary wear diagnosis result is too high, the mechanical wear amount that can be reduced according to the measures such as adjusting the operation frequency and cleaning and lubricating is predicted, and the corresponding wear value in the preliminary diagnosis result is adjusted downward. If the dynamic correction strategy focuses on inhibiting oxidation reaction, and the wear value caused by oxidation in the preliminary wear diagnosis result is too high, the oxidation wear amount that can be reduced according to the measures such as installing a dehumidification device and applying an antioxidant coating is predicted, and the corresponding wear value in the preliminary diagnosis result is adjusted downward. If the dynamic correction strategy takes into account both, the wear values caused by mechanical wear and oxidation in the preliminary diagnosis result are respectively adjusted according to the effects of the corresponding measures. During the calibration process, it is necessary to ensure that the adjusted value can accurately reflect the actual wear of the contact after the implementation of the dynamic correction strategy. After such numerical calibration, the obtained result is the target wear diagnosis result of the high-voltage switch cabinet contact.
[0068] Overall, in the process of generating the target wear diagnosis result of the high-voltage switch cabinet contact according to the wear accumulation effect and the degree of oxidation influence, first, the influence quantification analysis is carried out for the wear accumulation effect, the specific characteristics such as the change of contact performance and the change of surface wear form are combined, the actual effect degree of these characteristics on the overall wear of the contact is quantified, so as to determine the index that can accurately reflect the influence of mechanical wear on the contact, and finally the mechanical wear influence factor of the high-voltage switch cabinet contact is obtained.
[0069] Overall, after the mechanical wear influence factor is obtained, the effect strength of the degree of oxidation influence is evaluated, the actual situation such as the change of contact oxidation layer thickness, the degradation of material mechanical properties, and the fluctuation of electrical conductivity is evaluated, the influence strength of these oxidation effects on the contact state is evaluated, the weight of the oxidation effect in the overall wear is judged, and the material state influence factor of the high-voltage switch cabinet contact is obtained through the evaluation process.
[0070] Overall, after the mechanical wear influence factor and the material state influence factor are obtained, the influence range, the action strength and the synergistic action relationship of the two factors on the wear of the contact are combined, a scheme that can flexibly adjust the diagnosis standard according to the actual situation of the two factors is developed, the specific correction direction of different factor value combinations is determined, and a dynamic correction strategy of the high-voltage switch cabinet contact is generated.
[0071] Overall, after the dynamic correction strategy is obtained, the specific values of the preliminary wear diagnosis result are compared according to the strategy, the values of the preliminary diagnosis result are adjusted according to the correction rules of the mechanical wear influence factor and the material state influence factor in the strategy, the deviation of the preliminary result which does not fully consider the mechanical wear and the oxidation influence is eliminated, and through the value calibration process, the target wear diagnosis result of the high-voltage switch cabinet contact is finally obtained.
[0072] S6, the target wear diagnosis result is packaged according to the communication protocol, and the wear diagnosis data packet of the high-voltage switch cabinet contact is obtained; In the embodiment of the application, the target wear diagnosis result is packaged according to the communication protocol, and the wear diagnosis data packet of the high-voltage switch cabinet contact is obtained, which comprises: Based on the preset communication protocol format, the target wear diagnosis result is data-encapsulated to obtain a structured data body of the target wear diagnosis result; The structured data body is added with a protocol header field to obtain a partial data frame of the structured data body; The partial data frame is adjusted with a tail check code to obtain a complete data frame of the structured data body; The complete data frame is subjected to byte sequence conversion to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact.
[0073] Specifically, first, the data field type, field order and format requirements of each field specified in the preset communication protocol format are determined, which cover the classification standard and presentation form of the diagnostic related information, then the key information including diagnostic conclusion, diagnostic basis, diagnostic time and the like contained in the target wear diagnosis result is extracted, and the key information is filled into the corresponding field according to the field order and format requirements of the preset protocol format, so as to form a data set with clear structure and in accordance with the protocol specification, and through the encapsulation process, a structured data body of the target wear diagnosis result is obtained.
[0074] Further, according to the definition of the protocol header field in the preset communication protocol, the protocol header content to be added is determined, which includes identification information for identifying the type of data, address information of the sending end and the receiving end, priority identification of data transmission and the like, and the content is sequentially added to the starting position of the structured data body according to the header field order specified by the protocol, so that the structured data body and the protocol header field form a preliminary data framework containing basic transmission information, and through the adding operation, a partial data frame of the structured data body is obtained.
[0075] Further, according to the preset check rule, all the data in the partial data frame is subjected to overall operation processing to obtain a check code for verifying whether the data is complete and has not been tampered with in the transmission process, and the calculated check code is added to the end of the partial data frame according to the format specified by the protocol, so that the data frame has the functions of complete transmission information and verification information integrity, and through the check code adjustment, a complete data frame of the structured data body is obtained.
[0076] Further, according to the preset byte encoding specification which specifies the correspondence between different types of data and byte forms, the protocol header field, the structured data body and the tail check code in the complete data frame are sequentially subjected to encoding conversion, and the content of each part is converted into a byte form in accordance with the communication transmission requirements, and then all the converted bytes are combined into a continuous byte sequence in the original order, which can be recognized and transmitted by the communication system, and through the byte sequence conversion, the wear diagnosis data packet of the high-voltage switch cabinet contact is finally obtained.
[0077] In general, in the process of encapsulating the target wear diagnosis result into a communication protocol to obtain the high-voltage switch cabinet contact wear diagnosis data packet, first, according to the preset communication protocol format, the diagnosis values, diagnosis levels, diagnosis times and other types of information contained in the target wear diagnosis result are sorted and organized according to the field order and data format requirements specified by the protocol. The originally scattered diagnosis information is integrated into a unified data set with a fixed structure that can be recognized by the communication system. Through such encapsulation operation, the structured data body of the target wear diagnosis result is finally obtained.
[0078] In general, after obtaining the structured data body, a preset protocol header field is added to the data body. The protocol header field needs to contain key information such as data type identification, communication party address and data transmission priority. These information can ensure that the receiving party accurately identifies the data purpose and source during subsequent data transmission. After adding the protocol header field, part of the data frame of the structured data body is formed.
[0079] In general, after obtaining part of the data frame, the tail check code of the data frame is adjusted. According to the preset check rule, the check code for verifying the integrity of the data is obtained by performing logical operation on all data contents in the part of the data frame. The check code is added to the tail of the part of the data frame to avoid data loss or tampering during transmission. Through such check code adjustment, the complete data frame of the structured data body is obtained.
[0080] In general, after obtaining the complete data frame, each data unit in the complete data frame is converted into a byte form that meets the communication transmission requirements according to the preset byte encoding rule, so that the data frame becomes a byte sequence that can be transmitted in the communication link. Through such byte sequence conversion operation, the wear diagnosis data packet of the high-voltage switch cabinet contact is finally obtained.
[0081] S7, mapping the wear diagnosis data packet to obtain a maintenance suggestion instruction for the high-voltage switch cabinet contact.
[0082] In the embodiment of the application, the mapping of the wear diagnosis data packet to obtain the maintenance suggestion instruction for the high-voltage switch cabinet contact includes: extracting diagnosis information from the wear diagnosis data packet to obtain a key diagnosis information field of the high-voltage switch cabinet contact; performing information matching and proofreading on the key diagnosis information field to obtain a maintenance execution parameter of the high-voltage switch cabinet contact; encoding the maintenance execution parameter to obtain the maintenance suggestion instruction for the high-voltage switch cabinet contact.
[0083] Specifically, the wear diagnosis data packet is subjected to diagnosis information extraction to obtain the key diagnosis information field of the high-voltage switch cabinet contact. When implementing, the structure composition of the wear diagnosis data packet is first determined. The packet is a continuous hexadecimal byte sequence, which contains the previously encapsulated target wear diagnosis result related data. The hexadecimal byte sequence needs to be converted into decimal data form, and then the position and meaning of each field in the preset communication protocol format are compared to locate the field area related to the target wear diagnosis result. The area contains the mechanical wear influence factor value, the material state influence factor value, the calibrated total wear amount value, and the wear grade determination result corresponding field. Then the data content in each field is extracted one by one. The name of each field is associated and integrated with the corresponding extracted data content to form a set containing the mechanical wear influence factor field, the material state influence factor field, the calibrated total wear amount field, and the wear grade determination field, which is the key diagnosis information field of the high-voltage switch cabinet contact.
[0084] Further, the key diagnosis information field is subjected to information matching and proofreading to obtain the maintenance execution parameter of the high-voltage switch cabinet contact. When implementing, a preset diagnosis information and maintenance execution parameter corresponding table is first established. The corresponding table clearly stipulates that different mechanical wear influence factor ranges, material state influence factor ranges, calibrated total wear amount ranges, and wear grade determination results correspond to maintenance operation types, maintenance operation periods, and maintenance operation required tool specifications, etc. maintenance execution parameter contents. Then each item of data in the extracted key diagnosis information field is matched with the diagnosis information range or result in the corresponding table one by one. For example, the mechanical wear influence factor value is compared with the different ranges of the mechanical wear influence factor in the corresponding table to determine the maintenance execution parameter part content corresponding to its belonging range. Similarly, the material state influence factor value, the calibrated total wear amount value, and the wear grade determination result are matched with the corresponding table. Then the maintenance execution parameter contents obtained by each matching are proofread to check whether there is a content conflict. If there is a conflict, the maintenance execution parameter corresponding to the wear grade determination result is adjusted as the standard to ensure that each parameter content is consistent and reasonable. The final determined set of maintenance operation type, maintenance operation period, and maintenance tool specification, etc. is the maintenance execution parameter of the high-voltage switch cabinet contact.
[0085] Further, the maintenance execution parameter is encoded to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact, and in the implementation, a preset maintenance execution parameter encoding rule is determined first, the rule stipulates an encoding symbol system corresponding to different parameter types such as a maintenance operation type, a maintenance operation period, and a maintenance tool specification, for example, a fixed character combination corresponding to the maintenance operation type of “cleaning and lubricating”, another fixed character combination corresponding to the maintenance operation type of “applying an antioxidant coating”, a fixed character combination corresponding to the maintenance operation period of “short-term”, another fixed character combination corresponding to the maintenance operation period of “long-term”, and a special fixed character combination corresponding to each tool type in the maintenance tool specification, and the arrangement order of each parameter encoding is stipulated as “maintenance operation type encoding-maintenance operation period encoding-maintenance tool specification encoding”, then each item of content in the maintenance execution parameter is converted into a corresponding encoding character according to the encoding rule, then each encoding character is sequentially connected according to the stipulated arrangement order to form a continuous encoding string, and finally it is checked whether the encoding string meets the preset maintenance suggestion instruction format requirement, and after confirming that there is no encoding error and format problem, the continuous encoding string is the maintenance suggestion instruction of the high-voltage switch cabinet contact.
[0086] In general, in the process of performing instruction mapping on the wear diagnosis data message to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact, first, diagnostic information extraction is carried out on the wear diagnosis data message, through analyzing the byte sequence structure of the message, according to the position and identification of the diagnostic information field in the preset communication protocol format, the diagnostic content directly related to the contact wear state such as the core information of the wear grade and the influence factor is separated from the message, and then the key diagnostic information field of the high-voltage switch cabinet contact is obtained.
[0087] In general, after the key diagnostic information field is obtained, then information matching and proofreading are performed on the field, according to the pre-established corresponding rule of the key diagnostic information and the maintenance execution parameter, the extracted key diagnostic information is compared with the standard information in the rule one by one, the accuracy and integrity of the information are confirmed, the information deviation or loss is excluded, the specific maintenance operation parameter suitable for the current wear state is determined according to the matching result, and then the maintenance execution parameter of the high-voltage switch cabinet contact is obtained.
[0088] In general, after the maintenance execution parameter is obtained, the specific operation requirement corresponding to the maintenance execution parameter is converted into an instruction code form conforming to the device control logic according to the preset instruction encoding rule, it is ensured that the encoded content can be accurately recognized and executed by the control system of the high-voltage switch cabinet, and finally the maintenance suggestion instruction of the high-voltage switch cabinet contact is obtained through the encoding process.
[0089] In the several embodiments provided in the present application, it should be understood that the disclosed method can be implemented in other ways.
[0090] It is apparent for a person skilled in the art that the present application is not limited to the details of the above-described exemplary embodiments, but that the present application can be implemented in other concrete forms without departing from the spirit or essential characteristics of the present application.
[0091] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. The artificial intelligence is a theory, method and technology for using a digital computer or a machine controlled by a digital computer to simulate, extend and expand human intelligence, perceive environment, acquire knowledge and use the knowledge to obtain optimal results.
[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.
Claims
1. A method for on-line diagnosis of contact wear in a high voltage switchgear, characterized in that The method comprises: S1, based on the time alignment of the vibration signal and the current signal, multi-dimensional time-frequency domain feature extraction is performed on the high-voltage switch cabinet contact to obtain contact movement characteristics of the high-voltage switch cabinet contact; S2, the contact movement characteristics are matched with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact; S3, the contact wear degree is matched with the wear label to obtain the preliminary wear diagnosis result of the high-voltage switch cabinet contact; S4, based on the historical operation times and environmental temperature and humidity of the high-voltage switch cabinet contact, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain the wear cumulative effect and the oxidation influence degree of the high-voltage switch cabinet contact; S5, according to the wear cumulative effect and the oxidation influence degree, the target wear diagnosis result of the high-voltage switch cabinet contact is generated; S6, the target wear diagnosis result is packaged with the communication protocol to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact; S7, the wear diagnosis data packet is mapped with the instruction to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact.
2. A method for contact wear online diagnosis of a high voltage switchgear according to claim 1, characterized in that, The method comprises: S1, based on the time alignment of the vibration signal and the current signal, multi-dimensional time-frequency domain feature extraction is performed on the high-voltage switch cabinet contact to obtain contact movement characteristics of the high-voltage switch cabinet contact; S2, the contact movement characteristics are matched with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact; S3, the contact wear degree is matched with the wear label to obtain the preliminary wear diagnosis result of the high-voltage switch cabinet contact; 3. A method for contact wear online diagnosis of a high voltage switchgear according to claim 2, characterized in that, S4, based on the historical operation times and environmental temperature and humidity of the high-voltage switch cabinet contact, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain the wear cumulative effect and the oxidation influence degree of the high-voltage switch cabinet contact; S5, according to the wear cumulative effect and the oxidation influence degree, the target wear diagnosis result of the high-voltage switch cabinet contact is generated; S6, the target wear diagnosis result is packaged with the communication protocol to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact; S7, the wear diagnosis data packet is mapped with the instruction to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact.
4. A method for contact wear online diagnosis of a high voltage switchgear according to claim 1, characterized in that, The method comprises: S1, based on the time alignment of the vibration signal and the current signal, multi-dimensional time-frequency domain feature extraction is performed on the high-voltage switch cabinet contact to obtain contact movement characteristics of the high-voltage switch cabinet contact; S2, the contact movement characteristics are matched with the wear state degree to obtain the contact wear degree of the high-voltage switch cabinet contact; S3, the contact wear degree is matched with the wear label to obtain the preliminary wear diagnosis result of the high-voltage switch cabinet contact; S4, based on the historical operation times and environmental temperature and humidity of the high-voltage switch cabinet contact, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain the wear cumulative effect and the oxidation influence degree of the high-voltage switch cabinet contact; 5. A method for contact wear online diagnosis of a high voltage switchgear according to claim 4, characterized in that, S5, according to the wear cumulative effect and the oxidation influence degree, the target wear diagnosis result of the high-voltage switch cabinet contact is generated; ; in, For the aforementioned similarity, The total number of feature dimensions of the contact motion features. Let be the ordinal number of the feature dimension of the contact motion feature. For the feature vector to be matched in the th... The numerical values of the dimensional features, For the preset feature vector at the th The numerical values of the dimensional features, The importance of determining wear condition in the first Weight coefficients of dimensional features.
6. A method for contact wear online diagnosis of a high voltage switchgear according to claim 1, characterized in that, S6, the target wear diagnosis result is packaged with the communication protocol to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact; S7, the wear diagnosis data packet is mapped with the instruction to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact. The contact wear degree is subjected to multi-stage wear ratio comparison to obtain a wear grade of the contact wear degree; The wear grade is subjected to data mapping association to obtain a wear label of the wear grade; The wear label is subjected to multi-modal information diagnosis to obtain a preliminary wear diagnosis result of the high-voltage switch cabinet contact.
7. A method for contact wear online diagnosis of a high voltage switchgear according to claim 1, characterized in that, Based on the historical operation times and the environmental temperature and humidity of the high-voltage switch cabinet contact, multi-factor coupling analysis is performed on the high-voltage switch cabinet contact to obtain a wear cumulative effect and an oxidation influence degree of the high-voltage switch cabinet contact, including: Based on the historical operation times of the high-voltage switch cabinet contact, contact performance analysis is performed on the high-voltage switch cabinet contact to obtain the wear cumulative effect of the high-voltage switch cabinet contact; Based on the environmental temperature and humidity of the high-voltage switch cabinet contact, influence evaluation is performed on the material state of the high-voltage switch cabinet contact to obtain the oxidation influence degree of the high-voltage switch cabinet contact.
8. A method for contact wear online diagnosis of a high voltage switchgear according to claim 1, characterized in that, The target wear diagnosis result of the high-voltage switch cabinet contact is generated according to the wear cumulative effect and the oxidation influence degree, including: The wear cumulative effect is subjected to influence quantitative analysis to obtain a mechanical wear influence factor of the high-voltage switch cabinet contact; The oxidation influence degree is subjected to effect strength evaluation to obtain a material state influence factor of the high-voltage switch cabinet contact; According to the mechanical wear influence factor and the material state influence factor, a dynamic correction strategy of the high-voltage switch cabinet contact is generated; Based on the dynamic correction strategy, numerical calibration is performed on the preliminary wear diagnosis result to obtain the target wear diagnosis result of the high-voltage switch cabinet contact.
9. A method for contact wear online diagnosis of a high voltage switchgear according to claim 1, characterized in that, The target wear diagnosis result is subjected to communication protocol packaging to obtain a wear diagnosis data packet of the high-voltage switch cabinet contact, including: Based on a preset communication protocol format, the target wear diagnosis result is subjected to data packaging to obtain a structured data body of the target wear diagnosis result; A protocol header field is added to the structured data body to obtain a partial data frame of the structured data body; A tail check code is adjusted to the partial data frame to obtain a complete data frame of the structured data body; Byte sequence conversion is performed on the complete data frame to obtain the wear diagnosis data packet of the high-voltage switch cabinet contact.
10. A method for on-line diagnosis of contact wear in a high voltage switchgear according to claim 1, characterized in that, The wear diagnosis data packet is subjected to instruction mapping to obtain a maintenance suggestion instruction of the high-voltage switch cabinet contact, including: Diagnosis information extraction is performed on the wear diagnosis data packet to obtain a key diagnosis information field of the high-voltage switch cabinet contact; Information matching correction is performed on the key diagnosis information field to obtain a maintenance execution parameter of the high-voltage switch cabinet contact; The maintenance execution parameter is subjected to encoding to obtain the maintenance suggestion instruction of the high-voltage switch cabinet contact.
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