CN114511245A - Multi-transformer state multi-dimensional evaluation display method and system of centralized control system, storage medium and computing equipment - Google Patents
Multi-transformer state multi-dimensional evaluation display method and system of centralized control system, storage medium and computing equipment Download PDFInfo
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Abstract
The invention discloses a multi-transformer state multi-dimensional evaluation display method, a multi-transformer state multi-dimensional evaluation display system, a multi-transformer state multi-dimensional evaluation storage medium and a computing device of a centralized control system, wherein the method comprises the steps of 1) extracting sensing quantity real-time values of all transformers and sorting and preprocessing each data; 2) evaluating the running state of the transformer by adopting a multi-dimensional state evaluation algorithm of the transformer to obtain the real-time integral state score of the transformer; 3) and comparing and analyzing the states of all the sensing quantities of all the transformers by adopting a multi-transformer transverse analysis algorithm, screening the transformers with abnormal sensing quantities and sending alarm information. The method can effectively realize the recognition and display of the sensing quantity states and the integral operation states of the plurality of transformers, adapts to the field operation requirements of the centralized control station, improves the operation and maintenance efficiency of operators on the power transformation equipment, reduces the occurrence probability of misjudgment, and has strong practicability.
Description
Technical Field
The invention relates to the technical field of power equipment state evaluation, in particular to a multi-transformer state multi-dimensional evaluation display method, a multi-transformer state multi-dimensional evaluation display system, a multi-transformer state multi-dimensional evaluation storage medium and computing equipment of a centralized control system.
Background
The power transformer is a core device in a power system, mainly undertakes the tasks of voltage transformation, energy conversion, section energy transmission and the like, and the safe operation of the power transformer is an important factor for ensuring the stability of a power grid and the quality of power supply. At the present stage, the service life of transformers put into operation in China is increasing day by day, and the problems of aging of related equipment materials, reduction of insulating property, weak impact resistance and the like are solved. Therefore, the method has important significance for the deep research of the health state evaluation problem of the power transformer.
In recent years, along with the rapid development of national economy, the scale of power transformation equipment is continuously enlarged, the contradiction between the current operation and maintenance management mode and the rapid increase of the equipment is increasingly prominent, and the problems of insufficient monitoring intensity of the equipment, insufficient operation and maintenance management fineness, insufficient support and guarantee capacity and the like exist.
Disclosure of Invention
The invention aims to provide a multi-transformer state multi-dimensional evaluation display method, a multi-transformer state multi-dimensional evaluation display system, a storage medium and computing equipment of a centralized control system, so that the display quality of the health state of a power transformer is improved, and the operation and maintenance efficiency of power transformation equipment is improved.
The invention is realized by the following technical scheme:
the invention provides a multi-transformer state multi-dimensional evaluation display method based on a centralized control system, which comprises the following steps:
extracting all the ID of the transformers and the real-time values of the sensed quantities of the transformers in the centralized control system;
evaluating the running state of each transformer to obtain the integral running state grade of each transformer, and storing the grade in the associated record of the corresponding transformer ID;
evaluating each sensing quantity state of each transformer respectively to obtain each sensing quantity state grade of each transformer, and storing the grade in the associated record of the corresponding transformer ID;
and calling the ID of the transformer as required, and comprehensively displaying the integral running state grade and the perception quantity state grade of the transformer in the associated record of the ID of the transformer.
Further, the extracting of the real-time value of each sensing quantity of each transformer in the centralized control system includes extracting at least one of the following:
oil temperature data, winding temperature data, phase current amplitude data, hydrogen data, carbon monoxide data, carbon dioxide data, methane data, ethylene data, acetylene data, ethane data, total hydrocarbon data, moisture data, partial maximum discharge data, partial minimum discharge data, discharge times data, dielectric loss factor data, capacitance data, core ground current data, and clamp ground current data.
Further, the method also comprises the following steps:
and respectively calculating the daily growth rate of the carbon monoxide data, the carbon dioxide data and the capacitance data by taking the real-time value and the yesterday historical value, and taking the calculated daily growth rate as the corresponding real-time values of the carbon monoxide, the carbon dioxide and the capacitance sensing quantity.
Further, the evaluating the operation state of each transformer to obtain the overall operation state grade of each transformer includes:
calculating each perception score of the transformer:
in the formula: scoreiGrading the ith perception quantity of the transformer, HiUpper limit set for i-th sensing quantity, LiLower limit, x, set for the ith perception quantityiThe value of the ith sensing quantity real-time value of the transformer is obtained;
constructing a correlation matrix between the perception quantities based on the perception quantity scores, as follows:
wherein, Vali,jThe correlation degree between the ith sensing quantity and the jth sensing quantity of the transformer corresponds to the ith row number and the jth column element of the correlation degree matrix;
calculating a perception quantity scoring importance matrix according to the constructed relevance matrix, wherein the perception quantity scoring importance matrix comprises the following steps:
wherein, WiThe evaluation importance matrix elements are n, and the n is the total number of the transformer sensing quantities;
calculating the weight of the perception quantity based on the perception quantity scoring importance matrix as follows:
wherein, WeightiIs the ith perceptual weight;
calculating the integral operation state score of the transformer based on the perception quantity weight and the perception quantity score as follows:
State＝∑(Scorei×Weighti)，
wherein, State is the score of the integral running State of the transformer;
and obtaining the grade of the overall running state of the transformer according to the grade of the overall running state of the transformer.
Further, the step of obtaining the grade of the overall operation state of the transformer according to the score of the overall state of each transformer includes:
if the score of the overall running state of the transformer is greater than 85 points, the grade of the overall running state of the transformer is normal;
if the score of the overall running state of the transformer is larger than 50 and smaller than 85, the grade of the overall running state of the transformer is attention;
if the score of the overall running state of the transformer is more than 20 and less than 50, the grade of the overall running state of the transformer is abnormal;
and if the grade of the overall running state of the transformer is less than 20, the grade of the overall running state of the transformer is serious.
Further, the evaluating the state of each sensing quantity of each transformer to obtain the state grade of each sensing quantity of each transformer includes:
judging each sensing quantity of each transformer according to the following criteria:
if it satisfies
Then it is decidedThe transformer is responsive to an out-of-limit sensed quantity, wherein,
is the ith real-time value of the sensed quantity of the kth transformer, HiAn upper limit set for the ith sensing amount;
if the following conditions are met:
then the corresponding sensing quantity of the transformer is judged to be close to the warning value, wherein LiA lower limit is set for the ith perception quantity, and xi is a preset coefficient;
if the following conditions are met:
determining that the corresponding sensing quantity of the transformer deviates from the average value seriously, wherein eta is a preset coefficient,
is the average value of the ith sensed quantities of all the transformers,
is the ith standard deviation of the perception quantity;
and obtaining the abnormal state grade of the sensing quantity of the transformer according to the evaluation result of the sensing quantity.
Further, the obtaining of the abnormal state grade of the sensing quantity of the transformer according to the evaluation result of the sensing quantity includes:
if a certain sensing quantity of the transformer is out of limit, the abnormal level of the state of the sensing quantity is serious;
if a certain sensing quantity of the transformer is close to the warning value, the abnormal level of the state of the sensing quantity is attention;
if a certain sensing quantity of the transformer deviates from the average value seriously, the abnormal state grade of the sensing quantity is attention;
and if the certain sensing quantity of the transformer does not meet the three conditions, the state of the sensing quantity is normal.
Furthermore, the method also comprises the following steps of,
and when the integral operation state grade of the transformer is any one of attention, abnormity and severity, generating corresponding alarm information and pushing the alarm information.
Furthermore, the method also comprises the following steps of,
if a certain sensing quantity of the transformer is abnormal, pushing alarm information containing abnormal state levels;
if at least two states of a certain sensing quantity of the transformer are abnormal, warning information with the highest abnormal state level is pushed.
Further, the comprehensive display of the overall operation state grade and the perception quantity state grade of the corresponding transformer comprises:
calling at least one transformer ID as required and selecting at least one sensing quantity for the called transformer, and displaying the whole operation state grade and the sensing quantity of the corresponding transformer in a graph form, wherein the abscissa is the transformer ID and the ordinate is the real-time value of the sensing quantity.
Furthermore, the method also comprises the following steps of,
adding text alarm information in the graph, wherein the text alarm information comprises at least one of the following:
transformer ID and transformer integral operation state grade alarm information;
and the combination of (a) and (b),
and the name of the sensing quantity of the transformer and the state abnormal level warning information of the sensing quantity of the transformer.
The second aspect of the present invention provides a multi-transformer state multidimensional evaluation display system of a centralized control system, including:
the acquisition module is used for extracting all the ID of the transformers and the real-time values of the sensing quantities of the transformers in the centralized control system;
the first dimension evaluation module is used for evaluating the operation state of each transformer to obtain the integral operation state grade of each transformer and storing the integral operation state grade in the associated record of the corresponding transformer ID;
the second dimension evaluation module is used for evaluating each sensing quantity state of each transformer respectively to obtain each sensing quantity state grade of each transformer and storing the grade in the associated record of the corresponding transformer ID;
and the number of the first and second groups,
and the display module is used for calling the ID of the transformer as required and comprehensively displaying the integral running state grade and the perception quantity state grade of the transformer in the associated record of the ID of the transformer.
Further, the first dimension evaluation module is specifically configured to,
calculating each perception score of the transformer:
in the formula: scoreiGrading the ith perception quantity of the transformer, HiUpper limit set for i-th sensing quantity, LiLower limit, x, set for the ith sensing quantityiThe value of the ith sensing quantity real-time value of the transformer is obtained;
constructing a correlation matrix between the perception quantities based on the perception quantity scores, wherein the correlation matrix comprises the following steps:
wherein, Vali,jThe correlation degree between the ith sensing quantity and the jth sensing quantity of the transformer corresponds to the ith row number and the jth column element of the correlation degree matrix;
calculating a perception quantity scoring importance matrix according to the constructed relevance matrix, wherein the perception quantity scoring importance matrix comprises the following steps:
wherein, WiThe evaluation importance matrix elements are n, and the n is the total number of the transformer sensing quantities;
calculating the weight of the perception quantity based on the perception quantity scoring importance matrix as follows:
among them, WeightiIs the ith perceptual weight;
calculating the integral operation state score of the transformer based on the perception quantity weight and the perception quantity score as follows:
State＝∑(Scorei×Weighti)，
wherein, State is the score of the integral running State of the transformer;
obtaining the grade of the integral running state of the transformer according to the grade of the integral running state of the transformer, wherein the grade comprises the following steps:
if the score of the overall running state of the transformer is greater than 85 points, the grade of the overall running state of the transformer is normal;
if the score of the overall running state of the transformer is larger than 50 and smaller than 85, the grade of the overall running state of the transformer is attention;
if the score of the overall running state of the transformer is more than 20 and less than 50, the grade of the overall running state of the transformer is abnormal;
and if the grade of the overall running state of the transformer is less than 20, the grade of the overall running state of the transformer is serious.
Further, the second dimension evaluation module is specifically configured to,
judging each sensing quantity of each transformer according to the following criteria:
if it satisfies
It is determined that the corresponding perceived amount of the transformer is out of limit, wherein,
is the ith real-time value of the sensed quantity of the kth transformer, HiAn upper limit set for the ith sensing quantity;
if the following conditions are met:
then the corresponding sensing quantity of the transformer is judged to be close to the warning value, wherein LiA lower limit is set for the ith perception quantity, and xi is a preset coefficient;
if the following conditions are met:
determining that the corresponding sensing quantity of the transformer deviates from the average value seriously, wherein eta is a preset coefficient,
is the average value of the ith sensed quantities of all the transformers,
is the ith standard deviation of the perception quantity;
obtaining the abnormal state grade of the sensing quantity of the transformer according to the evaluation result of the sensing quantity, wherein the abnormal state grade of the sensing quantity of the transformer is as follows:
if a certain sensing quantity of the transformer is out of limit, the abnormal level of the state of the sensing quantity is serious;
if a certain sensing quantity of the transformer is close to the warning value, the abnormal level of the state of the sensing quantity is attention;
if a certain sensing quantity of the transformer deviates from the average value seriously, the abnormal state grade of the sensing quantity is attention;
and if the certain sensing quantity of the transformer does not meet the three conditions, the state of the sensing quantity is normal.
Furthermore, the display module is particularly adapted to,
calling at least one transformer ID as required and selecting at least one sensing quantity for the called transformer, and displaying the whole operation state grade and the sensing quantity of the corresponding transformer in a graph form, wherein the abscissa is the transformer ID and the ordinate is the sensing quantity real-time value;
and the number of the first and second groups,
adding text alarm information in the graph, wherein the text alarm information comprises at least one of the following:
transformer ID and transformer integral operation state grade alarm information;
and the combination of (a) and (b),
and the name of the sensing quantity of the transformer and the state abnormal level warning information of the sensing quantity of the transformer.
A third aspect of the invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method according to any of the foregoing methods.
A fourth aspect of the invention provides a computing device comprising,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the foregoing methods.
The invention has the beneficial effects that:
the method selects the real-time values and the historical value data of the sensing quantity of the plurality of transformers, calculates the sensing quantity state and the integral operation state of the sensing quantity, can find out the transformers with larger operation state deviation in the plurality of similar transformers, finds out the problems which are not found in the analysis of the operation state of the transformer unit, is convenient for operation and maintenance personnel to observe, improves the operation and maintenance efficiency and the operation and maintenance quality, and has important application value.
Drawings
FIG. 1 is a flow chart of a multi-dimensional multi-transformer state estimation method according to the present invention;
FIG. 2 is a schematic diagram illustrating a process of evaluating the overall state of the transformer according to an embodiment of the present invention;
FIG. 3 is a flow chart of a lateral analysis of multi-transformer perceptions in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and confirmed by the appended claims, and all of the inventions utilizing the inventive concept are intended to be protected.
The invention provides a multi-transformer state multi-dimensional evaluation display method based on a centralized control system, which comprises the following steps:
extracting all the ID of the transformers and real-time values of all the sensing quantities of the transformers;
evaluating the running state of each transformer by adopting a transformer health state evaluation algorithm by taking the transformer as a dimension to obtain the integral running state of each transformer;
taking the transformer sensing quantity as a dimension, and respectively evaluating the states of the sensing quantities of the transformers by adopting a multi-transformer transverse analysis algorithm;
and comprehensively displaying the evaluation results of the overall running state and the perception quantity state of the transformer.
As shown in fig. 1, the multidimensional estimation and display method for multi-transformer states based on a centralized control system according to an embodiment of the present invention is specifically implemented as follows:
s1, acquiring the ID and the perception quantity real-time data of all transformers,
specifically, transformer measurement data, oil chromatography data, partial discharge data, sleeve capacitance data and iron core grounding data are collected according to actual conditions. The method specifically comprises the following steps: oil temperature data, winding temperature data, phase current amplitude data, hydrogen data, carbon monoxide data, carbon dioxide data, methane data, ethylene data, acetylene data, ethane data, total hydrocarbon data, moisture data, partial maximum discharge data, partial minimum discharge data, discharge times data, dielectric loss factor data, capacitance data, core ground current data, and clamp ground current data.
And processing the acquired sensing quantity data, mainly aiming at carbon monoxide, carbon dioxide and capacitance, and taking a real time value and yesterday historical values to calculate the daily growth rate.
S2, evaluating the running states of all transformers by adopting a health state evaluation algorithm to obtain the integral state scores of all transformers; referring to fig. 2, in particular as follows,
s2-1, establishing a scoring model according to the sensing quantity limit value specified by the standard, wherein the scoring model comprises the following steps:
in the formula: scoreiScoring the ith perceptive quantity, HiUpper limit agreed for ith perception quantity, LiLower bound, x, agreed for the ith perception quantityiThe value is the real-time value of the ith sensing quantity of the transformer.
S2-2, constructing a correlation matrix between the perception quantities based on the perception quantity scores through proportion conversion, wherein the elements of the score coefficient matrix are-1 power of the sum of the reciprocal of the ratio of the perception quantities to the correlation perception quantity scores and 1. Wherein, the corresponding scoring coefficient matrix element can be expressed as:
in the formula: vali,jIs a scoring coefficient matrix element, i is a row number, j is a column number, Scorei、ScorejAnd scoring the ith sensing quantity and the jth sensing quantity of the transformer.
S2-3, calculating the importance degree corresponding to the perception quantity score according to the constructed association degree matrix, and constructing a corresponding importance degree matrix, wherein the importance degree matrix elements are the difference between the perception quantity self-scoring number and the perception quantity scoring coefficient respectively and are one of the n power of 2n of the product of the sum of n. Wherein, the corresponding importance matrix element can be expressed as:
in the formula: wiTo score the importance matrix elements, n is the total number of perceptions.
And S2-4, normalizing the importance matrix elements to obtain the perception quantity weight which is the percentage of the sum of the n power of the importance of the perception quantity and the n power of all the importance of the perception quantity. The perceptual weight calculation method may be represented as:
in the formula: weightiIs the ith perceptual weight.
S2-5, expressing the overall state score of the transformer as the sum of each perception score and the corresponding weight score, and expressing the state score as follows:
State＝∑(Scorei×Weighti)。
and S2-6, setting the integral operation state grade according to the integral score, wherein the grade is divided into normal, attention, abnormal and serious. If the integral score of the transformer is greater than 85 points, the running state of the transformer is normal; if the overall score is larger than 50 and smaller than 85, the running state is attention; if the overall score is more than 20 and less than 50, the running state is abnormal; if the overall score is less than 20, the operating condition is severe. When the overall grading level of the transformer is attention, abnormal and serious, corresponding alarm information is generated and pushed.
S3, performing lateral analysis on the transformer set and determining the transformer with abnormal state of the sensing quantity, as shown in fig. 3, as follows:
s3-1, calculating the average value of a certain sensing quantity of all transformers
Wherein m is the number of the transformers,
the value of the ith real-time value of the sensed quantity of the kth transformer is obtained.
S3-2, calculating the variance of the perception quantity:
s3-3, calculating the standard deviation of the perception quantity:
s3-4, judging the status of each sensing quantity according to the appointed limit value,
state 1: the sensing quantity of the transformer is out of limit. The perceived volume is out of limit when the following criteria are met:
state 2: the sensing quantity of the transformer is close to the warning value. The perceived amount is close to the alert value when the following criteria are met:
where ξ is the selected coefficient, the selected value in this example is 0.3.
State 3: the perceived amount of the transformer deviates from the mean value seriously. The criterion is as follows:
where η is the selected coefficient, and in this embodiment is 3.
If the perception quantity is out of limit, the abnormal grade of the state is serious;
if the perception quantity is close to the warning value or deviates from the mean value seriously, the abnormal state grades are all noticed; attention may indicate a proximity to the alarm value or a deviation from the mean.
And if the three conditions do not exist in the perception quantity, the state grade is normal.
And only the most serious abnormal state alarm information is pushed when the alarm information is pushed.
And S3-5, judging whether all the sensed quantities of all the transformers are subjected to contrastive analysis, and after the contrastive analysis of all the sensed quantities is finished, turning to the step S3-6 and outputting the analysis result.
In this embodiment, the comparison result between the perception quantity state and the overall operation state is displayed in the form of a graph, and is supplemented with text alarm information.
The abscissa of the graph is the name of the transformer, the ordinate is the real-time value of the sensing quantity, the display content of the graph can be changed by checking the transformer to be checked and the sensing quantity, and the scale of the ordinate changes along with the selected sensing quantity.
The text alarm information comprises the alarm of the integral operation state of the transformer and the alarm of the specific sensing quantity state, and the alarm information is composed of the name of the transformer or the name of the sensing quantity plus the description of the state.
It should be noted that, in this embodiment, the results obtained by the horizontal and vertical evaluations are stored in the record of the transformer ID mark, and the display interface obtains the required calculation result by associating the corresponding transformer ID for displaying.
Another embodiment of the present invention provides a multi-transformer state multidimensional evaluation display system of a centralized control system, including:
the acquisition module is used for extracting all the ID of the transformers and the real-time values of the sensing quantities of the transformers in the centralized control system;
the first dimension evaluation module is used for evaluating the operation state of each transformer by taking the transformer as a dimension to obtain the integral operation state grade of each transformer and storing the integral operation state grade into a corresponding transformer ID;
the second dimension evaluation module is used for evaluating each sensing quantity state of each transformer by taking the sensing quantity of the transformer as a dimension to obtain each sensing quantity state grade of each transformer and storing the grade in a corresponding transformer ID;
and the number of the first and second groups,
and the display module is used for calling the ID of the transformer as required and comprehensively displaying the corresponding integral operation state grade and the perception quantity state grade of the transformer.
Specifically, the first dimension evaluation module is configured to,
calculating each perception score of the transformer:
in the formula: scoreiGrading the ith perception quantity of the transformer, HiUpper limit set for i-th sensing quantity, LiLower limit, x, set for the ith sensing quantityiThe value of the ith sensing quantity real-time value of the transformer is obtained;
constructing a correlation matrix between the perception quantities based on the perception quantity scores, as follows:
wherein, Vali,jThe correlation degree between the ith sensing quantity and the jth sensing quantity of the transformer corresponds to the ith row number and the jth column element of the correlation degree matrix;
calculating a perception quantity scoring importance matrix according to the constructed relevance matrix, wherein the perception quantity scoring importance matrix comprises the following steps:
wherein, WiThe evaluation importance matrix elements are n, and the n is the total number of the transformer sensing quantities;
calculating the weight of the perception quantity based on the perception quantity scoring importance matrix as follows:
among them, WeightiIs the ith perceptual weight;
calculating the integral operation state score of the transformer based on the perception quantity weight and the perception quantity score as follows:
State＝∑(Scorei×Weighti)，
wherein, State is the score of the integral running State of the transformer;
obtaining the grade of the overall running state of the transformer according to the grade of the overall running state of the transformer, which is as follows:
if the score of the overall running state of the transformer is greater than 85 points, the grade of the overall running state of the transformer is normal;
if the score of the overall running state of the transformer is larger than 50 and smaller than 85, the grade of the overall running state of the transformer is attention;
if the score of the overall running state of the transformer is more than 20 and less than 50, the grade of the overall running state of the transformer is abnormal;
and if the grade of the overall running state of the transformer is less than 20, the grade of the overall running state of the transformer is serious.
Specifically, the second dimension evaluation module is used for,
judging each sensing quantity of each transformer according to the following criteria:
if it satisfies
It is determined that the corresponding perceived amount of the transformer is out of limit, wherein,
is the ith real-time value of the sensed quantity, H, of the kth transformeriAn upper limit set for the ith sensing quantity;
if the following conditions are met:
then the corresponding sensing quantity of the transformer is judged to be close to the warning value, wherein LiA lower limit is set for the ith perception quantity, and xi is a preset coefficient;
if the following conditions are met:
determining that the corresponding sensing quantity of the transformer deviates from the average value seriously, wherein eta is a preset coefficient,
is the average value of the ith sensed quantities of all the transformers,
is the ith standard deviation of the perception quantity;
obtaining the abnormal state grade of the sensing quantity of the transformer according to the evaluation result of the sensing quantity, wherein the abnormal state grade of the sensing quantity of the transformer is as follows:
if a certain sensing quantity of the transformer is out of limit, the abnormal level of the state of the sensing quantity is serious;
if a certain sensing quantity of the transformer is close to the warning value, the abnormal level of the state of the sensing quantity is attention;
if a certain sensing quantity of the transformer deviates from the average value seriously, the abnormal state grade of the sensing quantity is attention;
if a certain sensing quantity of the transformer does not meet the three conditions, the sensing quantity state is normal.
In particular, the display module is used for displaying,
calling at least one transformer ID as required and selecting at least one sensing quantity for the called transformer, and displaying the whole operation state grade and the sensing quantity of the corresponding transformer in a graph form, wherein the abscissa is the name of the transformer and the ordinate is the real-time value of the sensing quantity;
and (c) a second step of,
adding text alarm information in the graph, wherein the text alarm information comprises at least one of the following:
transformer name and transformer integral operation state grade alarm information;
and the combination of (a) and (b),
and the name of the sensing quantity of the transformer and the abnormal level alarm information of the state of the sensing quantity of the transformer.
Aiming at the problem of state evaluation of power equipment, the multi-transformer state sensing and multi-dimensional evaluation method provided by the invention can be used for intuitively and effectively judging the running states of a plurality of transformers, improving the state diagnosis capability of the transformers, reducing the occurrence probability of faults and having important application value.
A third embodiment of the invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform a method according to any of the methods described previously.
A fourth embodiment of the invention provides a computing device comprising,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the foregoing methods.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (17)
1. A multi-transformer state multi-dimensional evaluation display method based on a centralized control system is characterized by comprising the following steps:
extracting all the ID of the transformers and the real-time values of the sensed quantities of the transformers in the centralized control system;
evaluating the running state of each transformer to obtain the integral running state grade of each transformer, and storing the grade in the associated record of the corresponding transformer ID;
evaluating each sensing quantity state of each transformer respectively to obtain each sensing quantity state grade of each transformer, and storing the grade in the associated record of the corresponding transformer ID;
and calling the ID of the transformer as required, and comprehensively displaying the integral running state grade and the perception quantity state grade of the transformer in the associated record of the ID of the transformer.
2. The method according to claim 1, wherein the extracting real-time values of the sensed quantities of the transformers in the centralized control system comprises extracting at least one of the following values:
oil temperature data, winding temperature data, phase current amplitude data, hydrogen data, carbon monoxide data, carbon dioxide data, methane data, ethylene data, acetylene data, ethane data, total hydrocarbon data, moisture data, partial maximum discharge data, partial minimum discharge data, discharge times data, dielectric loss factor data, capacitance data, core ground current data, and clamp ground current data.
3. The multi-transformer state multi-dimensional evaluation display method of the centralized control system according to claim 2, further comprising:
and respectively calculating the daily growth rate of the carbon monoxide data, the carbon dioxide data and the capacitance data by taking the real-time value and the yesterday historical value, and taking the calculated daily growth rate as the corresponding real-time values of the carbon monoxide, the carbon dioxide and the capacitance sensing quantity.
4. The multi-transformer state multi-dimensional evaluation display method of the centralized control system according to claim 3, wherein the evaluating the operation state of each transformer to obtain the overall operation state grade of each transformer comprises:
calculating each perception score of the transformer:
in the formula: scoreiGrading the ith perception quantity of the transformer, HiUpper limit set for i-th sensing quantity, LiLower limit, x, set for the ith sensing quantityiThe value of the ith sensing quantity real-time value of the transformer is obtained;
constructing a correlation matrix between the perception quantities based on the perception quantity scores, as follows:
wherein, Vali,jThe correlation degree between the ith sensing quantity and the jth sensing quantity of the transformer corresponds to the ith row number and the jth column element of the correlation degree matrix;
calculating a perception quantity scoring importance matrix according to the constructed relevance matrix, wherein the perception quantity scoring importance matrix comprises the following steps:
wherein, WiThe evaluation importance matrix elements are n, and the n is the total number of the transformer sensing quantities;
calculating the weight of the perception quantity based on the perception quantity scoring importance matrix as follows:
among them, WeightiIs the ith perceptual weight;
calculating the integral operation state score of the transformer based on the perception quantity weight and the perception quantity score as follows:
State＝∑(Scorei×Weighti)，
wherein, State is the grade of the integral running State of the transformer;
and obtaining the grade of the overall running state of the transformer according to the grade of the overall running state of the transformer.
5. The multi-transformer state multi-dimensional evaluation display method of the centralized control system according to claim 4, wherein the obtaining of the overall operation state grade of the transformer according to the overall state grade of each transformer comprises:
if the score of the overall running state of the transformer is greater than 85 points, the grade of the overall running state of the transformer is normal;
if the score of the overall running state of the transformer is larger than 50 and smaller than 85, the grade of the overall running state of the transformer is attention;
if the score of the overall running state of the transformer is larger than 20 and smaller than 50, the grade of the overall running state of the transformer is abnormal;
and if the grade of the overall running state of the transformer is less than 20, the grade of the overall running state of the transformer is serious.
6. The multi-transformer state multi-dimensional evaluation display method of claim 1, wherein the evaluation of the state of each sensing quantity of each transformer to obtain the state grade of each sensing quantity of each transformer comprises:
judging each sensing quantity of each transformer according to the following criteria:
if it satisfies
It is determined that the corresponding perceived amount of the transformer is out of limit, wherein,
is the ith real-time value of the sensed quantity of the kth transformer, HiAn upper limit set for the ith sensing quantity;
if the following conditions are met:
then the corresponding sensing quantity of the transformer is judged to be close to the warning value, wherein LiA lower limit is set for the ith perception quantity, and xi is a preset coefficient;
if the following conditions are met:
determining that the corresponding sensing quantity of the transformer deviates from the average value seriously, wherein eta is a preset coefficient,
the average value of the ith sensed quantities of all the transformers,
is the ith standard deviation of the perception quantity;
and obtaining the abnormal state grade of the sensing quantity of the transformer according to the evaluation result of the sensing quantity.
7. The multi-transformer state multi-dimensional evaluation display method of the centralized control system according to claim 6, wherein the obtaining of the abnormal level of the transformer sensing quantity state according to the sensing quantity evaluation result comprises:
if a certain sensing quantity of the transformer is out of limit, the abnormal level of the state of the sensing quantity is serious;
if a certain sensing quantity of the transformer is close to the warning value, the abnormal level of the state of the sensing quantity is attention;
if a certain sensing quantity of the transformer deviates from the average value seriously, the abnormal state grade of the sensing quantity is attention;
and if the certain sensing quantity of the transformer does not meet the three conditions, the state of the sensing quantity is normal.
8. The multi-transformer state multi-dimensional evaluation display method of the centralized control system according to claim 6, further comprising,
and when the integral operation state grade of the transformer is any one of attention, abnormity and severity, generating corresponding alarm information and pushing the alarm information.
9. The multi-transformer state multi-dimensional evaluation display method of claim 7, further comprising,
if a certain sensing quantity of the transformer is abnormal, pushing alarm information containing abnormal state levels;
if at least two states of a certain sensing quantity of the transformer are abnormal, warning information with the highest abnormal state level is pushed.
10. The multi-transformer state multi-dimensional evaluation display method of the centralized control system according to claim 1, wherein the comprehensively displaying the corresponding overall operation state level and sensing quantity state level of the transformer comprises:
calling at least one transformer ID as required and selecting at least one sensing quantity for the called transformer, and displaying the whole operation state grade and the sensing quantity of the corresponding transformer in a graph form, wherein the abscissa is the transformer ID and the ordinate is the real-time value of the sensing quantity.
11. The multi-transformer state multi-dimensional evaluation display method of claim 10, further comprising,
adding text alarm information in the graph, wherein the text alarm information comprises at least one of the following:
transformer ID and transformer integral operation state grade alarm information;
and the combination of (a) and (b),
and the name of the sensing quantity of the transformer and the state abnormal level warning information of the sensing quantity of the transformer.
12. A multi-transformer state multi-dimensional evaluation display system of a centralized control system is characterized by comprising:
the acquisition module is used for extracting all the ID of the transformers and the real-time values of the sensing quantities of the transformers in the centralized control system;
the first dimension evaluation module is used for evaluating the operation state of each transformer to obtain the integral operation state grade of each transformer and storing the integral operation state grade in the associated record of the corresponding transformer ID;
the second dimension evaluation module is used for evaluating each sensing quantity state of each transformer respectively to obtain each sensing quantity state grade of each transformer and storing the grade in the associated record of the corresponding transformer ID;
and the number of the first and second groups,
and the display module is used for calling the ID of the transformer as required and comprehensively displaying the integral running state grade and the perception quantity state grade of the transformer in the associated record of the ID of the transformer.
13. The multi-transformer state multi-dimensional estimation demonstration system of a centralized control system according to claim 12, wherein the first dimension estimation module is specifically configured to,
calculating each perception score of the transformer:
in the formula: scoreiGrading the ith perception quantity of the transformer, HiUpper limit set for i-th sensing quantity, LiLower limit, x, set for the ith sensing quantityiThe value of the ith sensing quantity real-time value of the transformer is obtained;
constructing a correlation matrix between the perception quantities based on the perception quantity scores, as follows:
wherein, Vali,jThe correlation degree between the ith sensing quantity and the jth sensing quantity of the transformer corresponds to the ith row number and the jth column element of the correlation degree matrix;
calculating a perception quantity scoring importance matrix according to the constructed relevance matrix, wherein the perception quantity scoring importance matrix comprises the following steps:
wherein, WiThe evaluation importance matrix elements are n, and the n is the total number of the transformer sensing quantities;
calculating the weight of the perception quantity based on the perception quantity scoring importance matrix as follows:
among them, WeightiIs the ith perceptual weight;
calculating the integral operation state score of the transformer based on the perception quantity weight and the perception quantity score as follows:
State＝∑(Scorei×Weighti)，
wherein, State is the score of the integral running State of the transformer;
obtaining the grade of the integral running state of the transformer according to the grade of the integral running state of the transformer, wherein the grade comprises the following steps:
if the score of the overall running state of the transformer is greater than 85 points, the grade of the overall running state of the transformer is normal;
if the score of the overall running state of the transformer is larger than 50 and smaller than 85, the grade of the overall running state of the transformer is attention;
if the score of the overall running state of the transformer is more than 20 and less than 50, the grade of the overall running state of the transformer is abnormal;
and if the grade of the overall running state of the transformer is less than 20, the grade of the overall running state of the transformer is serious.
14. The multi-transformer state multi-dimensional estimation presentation system of a centralized control system according to claim 12, wherein the second dimension estimation module is specifically configured to,
judging each sensing quantity of each transformer according to the following criteria:
if it satisfies
It is determined that the corresponding perceived amount of the transformer is out of limit, wherein,
is the ith real-time value of the sensed quantity of the kth transformer, HiAn upper limit set for the ith sensing quantity;
if the following conditions are met:
then the corresponding sensing quantity of the transformer is judged to be close to the warning value, wherein LiA lower limit set for the ith sensing quantity, and xi is a preset systemCounting;
if the following conditions are met:
determining that the corresponding sensing quantity of the transformer deviates from the average value seriously, wherein eta is a preset coefficient,
is the average value of the ith sensed quantities of all the transformers,
is the ith standard deviation of the perception quantity;
obtaining the abnormal state grade of the sensing quantity of the transformer according to the evaluation result of the sensing quantity, wherein the abnormal state grade of the sensing quantity of the transformer is as follows:
if a certain sensing quantity of the transformer is out of limit, the abnormal level of the state of the sensing quantity is serious;
if a certain sensing quantity of the transformer is close to the warning value, the abnormal level of the state of the sensing quantity is attention;
if a certain sensing quantity of the transformer deviates from the average value seriously, the abnormal state grade of the sensing quantity is attention;
and if the certain sensing quantity of the transformer does not meet the three conditions, the state of the sensing quantity is normal.
15. The multi-transformer state multi-dimensional estimation display system of claim 12,
the display module is particularly adapted to be used,
calling at least one transformer ID as required and selecting at least one sensing quantity for the called transformer, and displaying the whole operation state grade and the sensing quantity of the corresponding transformer in a graph form, wherein the abscissa is the transformer ID and the ordinate is the sensing quantity real-time value;
and the number of the first and second groups,
adding text alarm information in the graph, wherein the text alarm information comprises at least one of the following:
transformer ID and transformer integral operation state grade alarm information;
and (c) and (d),
and the name of the sensing quantity of the transformer and the state abnormal level warning information of the sensing quantity of the transformer.
16. A computer readable storage medium storing one or more programs, characterized in that: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 1-11.
17. A computing device, characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-11.
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