CN112287556A - Method and device for determining insulation state of cable - Google Patents
Method and device for determining insulation state of cable Download PDFInfo
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Abstract
The invention discloses a method and a device for determining the insulation state of a cable. Wherein, the method comprises the following steps: generating an evaluation index system of a target cable, wherein the target cable is a cable needing insulation aging risk grade evaluation, and the evaluation index system is used for carrying out insulation aging risk grade evaluation on the target cable; determining the weight of each evaluation index in an evaluation index system; generating a fuzzy evaluation matrix according to an evaluation index system; determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix; and determining the insulation aging state of the target cable based on the insulation aging risk grade. The method and the device solve the technical problem that the reliability of a mode for evaluating the insulation aging of the cable is low in the related technology.
Description
Technical Field
The invention relates to the technical field of power engineering, in particular to a method and a device for determining the insulation state of a cable.
Background
The method for accurately and timely evaluating the insulation aging degree of the cable and taking relevant measures to avoid the occurrence of electric power accidents is an urgent need for the development of the current electric power industry. However, at present, the cable on-line monitoring result criteria are relatively lacked, and in addition, the problems of defects in field interference and precision restriction of a monitoring device are solved, so that the insulation state of the cable cannot be accurately evaluated only by a single method, and the diagnosis is uncertain.
In addition, the traditional cable insulation risk assessment method based on the fuzzy analytic hierarchy process is mainly focused on static assessment, real-time dynamic changes of cable insulation aging risks are difficult to reflect, and the traditional analytic hierarchy process is difficult to assess the risk level of cable insulation aging in real time.
In order to solve the problem of low reliability of a method for evaluating the insulation aging of the cable in the related art, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining the insulation state of a cable, which are used for at least solving the technical problem of low reliability of a mode for evaluating the insulation aging of the cable in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a method for determining an insulation state of a cable, including: generating an evaluation index system of a target cable, wherein the target cable is a cable needing insulation aging risk grade evaluation, and the evaluation index system is used for carrying out insulation aging risk grade evaluation on the target cable; determining the weight of each evaluation index in the evaluation index system; generating a fuzzy evaluation matrix according to the evaluation index system; determining an insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix; determining an insulation aging state of the target cable based on the insulation aging risk level.
Optionally, the evaluation index system comprises: a first evaluation indicator subsystem and a second evaluation indicator subsystem, wherein the first evaluation indicator subsystem comprises at least one of: the second evaluation index subsystem comprises at least one of the following components: differential Scanning Calorimetry (DSC) curve corresponding to peak temperature, elongation at break and elastic modulus.
Optionally, determining the weight of each evaluation index in the evaluation index system includes: generating the weight of each evaluation index in the evaluation index system through an analytic hierarchy process; and determining the weight of each evaluation index in the evaluation index system through a Bayesian network.
Optionally, generating a weight of each evaluation index in the evaluation index system by an analytic hierarchy process includes: carrying out layering processing on the insulation aging factors of the target cable to obtain a weight sorting result of each evaluation index in the evaluation index system and obtain a judgment matrix; solving the eigenvectors in the decision matrix to obtain a solving result; and carrying out normalization processing on the solving processing result to obtain a first feature vector formed by the weight of each evaluation index.
Optionally, determining a weight of each evaluation index in the evaluation index system through a bayesian network includes: generating a fault tree of the evaluation index system; generating a Bayesian network according to the fault tree; and calculating the weight of each evaluation index in the evaluation index system by utilizing the Bayesian network.
Optionally, generating a fuzzy evaluation matrix according to the evaluation index system includes: generating an evaluation index set based on the evaluation index system; and substituting the original data of each evaluation index in the evaluation index system into a membership function model to obtain the membership of each evaluation index in the evaluation index system to the evaluation index set, so as to obtain the fuzzy evaluation matrix.
Optionally, determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix comprises: combining the feature vector I with the weight of each evaluation index in the evaluation index system calculated by the Bayesian network to obtain a comprehensive weight vector of each evaluation index; obtaining the insulation aging fuzzy comprehensive evaluation result of the target cable through the product of the comprehensive weight vector and the fuzzy evaluation matrix; and acquiring the insulation aging risk grade based on the insulation aging fuzzy comprehensive evaluation result.
Optionally, after determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix, the method for determining the insulation state of the cable further includes: selecting a target processing strategy according to the insulation aging risk grade; and performing repair processing on the target cable based on the target processing strategy.
According to another aspect of the embodiments of the present invention, there is also provided a device for determining an insulation state of a cable, including: the device comprises a first generating unit, a second generating unit and a judging unit, wherein the first generating unit is used for generating an evaluation index system of a target cable, the target cable is a cable needing insulation aging risk level evaluation, and the evaluation index system is used for carrying out insulation aging risk level evaluation on the target cable; a first determining unit, configured to determine a weight of each evaluation index in the evaluation index system; the second generating unit is used for generating a fuzzy evaluation matrix according to the evaluation index system; a second determination unit, configured to determine an insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix; a third determination unit for determining an insulation aging state of the target cable based on the insulation aging risk level.
Optionally, the evaluation index system comprises: a first evaluation indicator subsystem and a second evaluation indicator subsystem, wherein the first evaluation indicator subsystem comprises at least one of: the second evaluation index subsystem comprises at least one of the following components: differential Scanning Calorimetry (DSC) curve corresponding to peak temperature, elongation at break and elastic modulus.
Optionally, the first determining unit includes: the first generation module is used for generating the weight of each evaluation index in the evaluation index system through an analytic hierarchy process; and the first determination module is used for determining the weight of each evaluation index in the evaluation index system through a Bayesian network.
Optionally, the first generating module includes: the layering processing submodule is used for performing layering processing on the insulation aging factors of the target cable to obtain a weight sorting result of each evaluation index in the evaluation index system and obtain a judgment matrix; the solving and processing submodule is used for solving and processing the eigenvectors in the judgment matrix to obtain a solving and processing result; and the normalization processing module is used for performing normalization processing on the solving processing result to obtain a first feature vector formed by the weight of each evaluation index.
Optionally, the first determining module includes: the second generation submodule is used for generating a fault tree of the evaluation index system; a third generation submodule for generating a Bayesian network according to the fault tree; and the calculation submodule is used for calculating the weight of each evaluation index in the evaluation index system by utilizing the Bayesian network.
Optionally, the second generating unit includes: the second generation module is used for generating an evaluation index set based on the evaluation index system; the first obtaining module is used for substituting the original data of each evaluation index in the evaluation index system into a membership function model to obtain the membership of each evaluation index in the evaluation index system to the evaluation index set, so as to obtain the fuzzy evaluation matrix.
Optionally, the second determining unit includes: the second obtaining module is used for combining the first feature vector with the weight of each evaluation index in the evaluation index system calculated by the Bayesian network to obtain a comprehensive weight vector of each evaluation index; the third acquisition module is used for obtaining the insulation aging fuzzy comprehensive evaluation result of the target cable through the product of the comprehensive weight vector and the fuzzy evaluation matrix; and the fourth acquisition module is used for acquiring the insulation aging risk grade based on the insulation aging fuzzy comprehensive evaluation result.
Optionally, the apparatus for determining the insulation state of the cable further includes: a selection unit, configured to select a target processing strategy according to the insulation aging risk level after determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix; and the repair processing unit is used for performing repair processing on the target cable based on the target processing strategy.
According to another aspect of the embodiment of the present invention, there is also provided a system for determining an insulation state of a cable, which uses the method for determining an insulation state of a cable described in any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is executed by a processor, the computer program controls a device in which the computer storage medium is located to execute any one of the above methods for determining an insulation state of a cable.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a computer program, where the computer program executes to execute the method for determining the insulation state of a cable described in any one of the above.
In the embodiment of the invention, an evaluation index system for generating a target cable is adopted, wherein the target cable is a cable needing insulation aging risk grade evaluation, and the evaluation index system is used for carrying out insulation aging risk grade evaluation on the target cable; determining the weight of each evaluation index in an evaluation index system; generating a fuzzy evaluation matrix according to an evaluation index system; determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix; the method for determining the insulation aging state of the cable achieves the purpose of determining the aging state of the cable by taking the weight of factors influencing the aging of the cable as factors for calculating the aging of the cable, achieves the technical effect of improving the reliability of the insulation aging evaluation of the cable, and further solves the technical problem that the reliability of the mode for evaluating the insulation aging of the cable in the related technology is low.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a method of determining an insulation state of a cable according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a target cable insulation aging risk level assessment indicator system according to an embodiment of the present invention;
FIG. 3 is a fault tree diagram of a cable insulation aging risk level assessment indicator system according to an embodiment of the present invention;
FIG. 4 is a Bayesian network diagram of a cable insulation aging risk level assessment indicator system according to an embodiment of the present invention;
FIG. 5 is a flow chart of an alternative method of determining the insulation status of a cable in accordance with an embodiment of the present invention;
fig. 6 is a preferred flowchart of a method of determining the insulation state of a cable according to an embodiment of the present invention;
fig. 7 is a schematic view of a cable insulation state determination apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method of determining a cable insulation state, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Fig. 1 is a flowchart of a method for determining an insulation state of a cable according to an embodiment of the present invention, as shown in fig. 1, the method for determining an insulation state of a cable includes the steps of:
and S102, generating an evaluation index system of the target cable, wherein the target cable is a cable needing insulation aging risk level evaluation, and the evaluation index system is used for carrying out insulation aging risk level evaluation on the target cable.
The aging degree of the cable insulation can be evaluated from two angles of the electrical aging cause and the thermal aging cause of the cable insulation, so that the aging degree and the use risk of the cable insulation are respectively described. Therefore, in the embodiment of the invention, an index system capable of reflecting the insulation state and risk assessment of the cable in a quantified and real-time manner is constructed.
In an alternative embodiment, the evaluation index system may include: a first evaluation indicator subsystem and a second evaluation indicator subsystem, wherein the first evaluation indicator subsystem includes at least one of: space charge density, high-frequency dielectric loss peak value, breakdown field intensity, partial discharge peak value and maximum water tree length, wherein the second evaluation index subsystem comprises at least one of the following components: differential Scanning Calorimetry (DSC) curve corresponding to peak temperature, elongation at break and elastic modulus.
The space charge density, the high-frequency dielectric loss peak value, the breakdown field strength, the partial discharge peak value and the maximum water tree length are core indexes for measuring the cable insulation electrical aging degree, so that the cable insulation electrical aging degree is described by selecting the indexes; DSC peak temperature, elongation at break and elastic modulus are core indexes for measuring the thermal aging degree of cable insulation, so that the indexes are selected to describe the thermal aging degree of cable insulation.
Fig. 2 is a schematic diagram of an index system for evaluating the insulation aging risk level of a target cable according to an embodiment of the present invention, which can be classified as an electrical aging risk level evaluation as shown in fig. 2, and the influencing factors include: space charge density, high-frequency dielectric loss peak value, breakdown field intensity, partial discharge peak value, maximum water tree length and thermal aging risk level evaluation, wherein the influencing factors comprise: peak temperature, elongation at break, and elastic modulus corresponding to the DSC curve.
Fig. 3 is a fault tree diagram of a cable insulation aging risk level evaluation index system according to an embodiment of the present invention, and as shown in fig. 3, evaluation indexes in the evaluation index system may be respectively corresponding to a1 to A8, which may be subjected to a layering process, and finally determine a cable insulation aging and failure level a.
Fig. 4 is a bayesian network diagram of an evaluation index system of the cable insulation aging risk level according to an embodiment of the present invention, and as shown in fig. 4, the comprehensive actions of a1 to A8 in fig. 3 can obtain a cable insulation aging and failure grade a.
And step S104, determining the weight of each evaluation index in the evaluation index system.
In an alternative embodiment, determining the weight of each evaluation index in the evaluation index system includes: generating the weight of each evaluation index in an evaluation index system by an analytic hierarchy process; and determining the weight of each evaluation index in the evaluation index system through the Bayesian network.
In one aspect, generating a weight for each evaluation index in an evaluation index system by analytic hierarchy process comprises: carrying out hierarchical processing on the insulation aging factors of the target cable to obtain a weight sorting result of each evaluation index in an evaluation index system and obtain a judgment matrix; solving the eigenvectors in the decision matrix to obtain a solving result; and carrying out normalization processing on the solving processing result to obtain a feature vector I formed by the weight of each evaluation index.
For example, in the evaluation index weight calculation based on the analytic hierarchy process, the cable insulation aging factor can be used for constructing a judgment matrix, after the cable insulation aging evaluation factor is subjected to hierarchical processing, the evaluation indexes are compared pairwise through a 1-9 scaling method according to expert experience, and the ranking result of the evaluation index weight is obtained layer by layer, so that the judgment matrix P is obtained:
and solving the characteristic vector of the decision matrix P by adopting a square root method. It should be noted that, in the embodiment of the present invention, in order to ensure the accuracy of the decision matrix, consistency check needs to be performed on the decision matrix.
That is, the product M of each row element in P is calculatediAnd find MiRoot of cubic (n times)
Wherein, i is 1,2,3, … …, n,
next, a feature vector W ' ═ W ' of P can be obtained by the following normalization process '1,W′2,W′3,...,W′n)：
In another aspect, determining a weight for each evaluation index in an evaluation index system via a bayesian network comprises: generating a fault tree of an evaluation index system; generating a Bayesian network according to the fault tree; and calculating the weight of each evaluation index in the evaluation index system by using the Bayesian network.
In addition, a fuzzy evaluation matrix is generated according to an evaluation index system, and the fuzzy evaluation matrix comprises the following steps: generating an evaluation index set based on an evaluation index system; and substituting the original data of each evaluation index in the evaluation index system into the membership function model to obtain the membership of each evaluation index in the evaluation index system to the evaluation index set, so as to obtain a fuzzy evaluation matrix.
For example, a fault tree can be constructed according to a cable insulation aging risk level evaluation index system, a bayesian network can be further constructed by the fault tree, and each evaluation index, namely the posterior probability of the cable insulation aging influence factor, is calculated according to the following formula:
the weight of each evaluation index in the Bayesian network is calculated as follows:
combining the index weight results of the analytic hierarchy process and the Bayesian network process, and calculating the comprehensive weight vector of the evaluation index according to the following formula:
and step S106, generating a fuzzy evaluation matrix according to the evaluation index system.
In an alternative embodiment, generating the fuzzy evaluation matrix according to an evaluation index system comprises: generating an evaluation index set based on an evaluation index system; and substituting the original data of each evaluation index in the evaluation index system into the membership function model to obtain the membership of each evaluation index in the evaluation index system to the evaluation index set, so as to obtain a fuzzy evaluation matrix.
Namely, the hierarchical analysis-bayesian network-based fuzzy comprehensive evaluation of the cable insulation aging risk level can establish a cable insulation aging evaluation index set firstly: u ═ U1,u2,...,unAnd constructing a fuzzy evaluation matrix. Specifically, trapezoidal distribution can be selected as a membership function model, the original data of each cable insulation aging evaluation index is substituted into the membership function model, the membership of each evaluation index to an evaluation set is obtained, and a fuzzy evaluation matrix R is formed:
matrix element rijAnd the value of the membership degree of the ith evaluation index to the jth comment is shown (i is 1,2, 3.. once, n; j is 1,2, 3.. once, m).
And step S108, determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix.
In an alternative embodiment, determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix comprises: combining the feature vector I with the weight of each evaluation index in an evaluation index system obtained by Bayesian network calculation to obtain a comprehensive weight vector of each evaluation index; obtaining an insulation aging fuzzy comprehensive evaluation result of the target cable through the product of the comprehensive weight vector and the fuzzy evaluation matrix; and acquiring an insulation aging risk grade based on the insulation aging fuzzy comprehensive evaluation result.
In this embodiment, the fuzzy comprehensive evaluation result may be calculated by the following formula: and (3) obtaining the fuzzy comprehensive evaluation result of the insulation aging of the cable after X is W.R: x ═ X1,X2,...,Xn]。
In addition, the cable insulation aging risk belonging grade can be determined according to the maximum membership principle.
And step S110, determining the insulation aging state of the target cable based on the insulation aging risk level.
As can be seen from the above, in the embodiment of the present invention, an evaluation index system of a target cable may be generated, where the target cable is a cable for which insulation aging risk level evaluation needs to be performed, and the evaluation index system is used for performing insulation aging risk level evaluation on the target cable; then determining the weight of each evaluation index in an evaluation index system; then generating a fuzzy evaluation matrix according to an evaluation index system; determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix; and the insulation aging state of the target cable is determined based on the insulation aging risk grade, so that the purpose of determining the aging state of the cable by taking the weight of factors influencing the aging of the cable as factors for calculating the aging of the cable is achieved, and the technical effect of improving the reliability of the insulation aging evaluation of the cable is achieved.
Therefore, the method for determining the insulation state of the cable provided by the embodiment of the invention solves the technical problem that the reliability of a mode for evaluating the insulation aging of the cable in the related technology is lower.
In an optional embodiment, after determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix, the method for determining the insulation state of the cable may further include: selecting a target processing strategy according to the insulation aging risk grade; and performing repair processing on the target cable based on the target processing strategy.
Fig. 5 is a flowchart of an alternative method for determining the insulation state of a cable according to an embodiment of the present invention, and as shown in fig. 5, an evaluation index system for evaluating the aging risk level of the insulation of the cable may be first established, and then an evaluation index weight calculation based on an analytic hierarchy process may be performed, and a comprehensive weight of an evaluation index may be determined by combining with a bayesian network; and finally, carrying out fuzzy comprehensive evaluation on the cable insulation aging risk level based on the hierarchical analysis-Bayesian network page.
FIG. 6 is a preferred flowchart of a method for determining the insulation state of a cable according to an embodiment of the present invention, as shown in FIG. 6, first, analyzing the insulation of the cableInfluence factors of the electrical aging risk level and the thermal aging risk level, and then establishing a hierarchical evaluation index system based on the factors; constructing a decision matrix by combining with expert opinions, constructing a Bayesian network by combining with a hierarchical analysis index structure, and determining an index set and an evaluation set; after the Bayesian network is constructed, the Bayesian network parameters can be learned by historical data, and then the objective weight of the Bayesian network node index is obtained; after the decision matrix is constructed, the feature vector of the decision matrix is obtained, the consistency ratio is calculated, and the consistency ratio C is judgedRIf the weight is less than 0.1, calculating the subjective weight of the index, otherwise, returning to construct a judgment matrix, and calculating the comprehensive weight of the index according to the obtained objective weight; after the index set and the evaluation set are determined, a membership function model of each index can be constructed and the membership degree is solved; then constructing a fuzzy evaluation matrix; and combining the comprehensive weight of the obtained indexes and the constructed fuzzy evaluation matrix to construct a fuzzy comprehensive evaluation function, and finally determining the cable insulation aging risk level grade.
As can be seen from the above, in the embodiment of the present invention, subjective and objective comprehensive real-time evaluation of cable insulation aging risk assessment is implemented, advantages of expert experience and a bayesian network learning method are effectively integrated, and real-time dynamic comprehensive assessment of cable insulation aging state can be implemented, that is, a weighted value of each aging factor of a cable is comprehensively calculated by combining an expert assessment method in an analytic hierarchy process and a reverse probability solution algorithm in a bayesian network.
Example 2
According to another aspect of the embodiments of the present invention, there is also provided a device for determining an insulation state of a cable, fig. 7 is a schematic diagram of the device for determining an insulation state of a cable according to the embodiments of the present invention, and as shown in fig. 7, the device for determining an insulation state of a cable may include: a first generation unit 71, a first determination unit 73, a second generation unit 75, a second determination unit 77, and a third determination unit 79. The following describes a device for determining the insulation state of the cable.
The first generating unit 71 is configured to generate an evaluation index system of a target cable, where the target cable is a cable for which insulation aging risk level evaluation is required, and the evaluation index system is used for performing insulation aging risk level evaluation on the target cable.
A first determining unit 73, configured to determine a weight of each evaluation index in the evaluation index system.
A second generating unit 75, configured to generate a fuzzy evaluation matrix according to the evaluation index system.
A second determination unit 77 for determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix.
A third determination unit 79 for determining the insulation aging state of the target cable based on the insulation aging risk level.
It should be noted here that the first generating unit 71, the first determining unit 73, the second generating unit 75, the second determining unit 77, and the third determining unit 79 correspond to steps S102 to S110 in embodiment 1, and the units are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure in embodiment 1. It should be noted that the above-described elements as part of an apparatus may be implemented in a computer system, such as a set of computer-executable instructions.
As can be seen from the above, in the above embodiments of the present application, the first generating unit may be used to generate an evaluation index system of a target cable, where the target cable is a cable for which insulation aging risk level evaluation needs to be performed, and the evaluation index system is used to perform insulation aging risk level evaluation on the target cable; then, determining the weight of each evaluation index in an evaluation index system by using a first determination unit; then, generating a fuzzy evaluation matrix according to the evaluation index system by using a second generation unit; determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix by using a second determination unit; and determining, with a third determination unit, an insulation aging state of the target cable based on the insulation aging risk level. By the device for determining the insulation state of the cable, the purpose of determining the aging state of the cable by taking the weight of factors influencing cable aging as factors for calculating the aging state of the cable is achieved, the technical effect of improving the reliability of cable insulation aging evaluation is achieved, and the technical problem that the reliability of a cable insulation aging evaluation mode in the related technology is low is solved.
In an alternative embodiment, the evaluation index system comprises: a first evaluation indicator subsystem and a second evaluation indicator subsystem, wherein the first evaluation indicator subsystem includes at least one of: space charge density, high-frequency dielectric loss peak value, breakdown field intensity, partial discharge peak value and maximum water tree length, wherein the second evaluation index subsystem comprises at least one of the following components: differential Scanning Calorimetry (DSC) curve corresponding to peak temperature, elongation at break and elastic modulus.
In an alternative embodiment, the first determining unit includes: the first generation module is used for generating the weight of each evaluation index in the evaluation index system through an analytic hierarchy process; and the first determining module is used for determining the weight of each evaluation index in the evaluation index system through the Bayesian network.
In an alternative embodiment, the first generating module comprises: the hierarchical processing submodule is used for carrying out hierarchical processing on the insulation aging factors of the target cable to obtain a weight sorting result of each evaluation index in the evaluation index system and obtain a judgment matrix; the solving and processing submodule is used for solving and processing the eigenvectors in the judgment matrix to obtain a solving and processing result; and the normalization processing module is used for performing normalization processing on the solving processing result to obtain a feature vector I formed by the weight of each evaluation index.
In an alternative embodiment, the first determining module includes: the second generation submodule is used for generating a fault tree of the evaluation index system; a third generation submodule for generating a Bayesian network according to the fault tree; and the calculation submodule is used for calculating the weight of each evaluation index in the evaluation index system by utilizing the Bayesian network.
In an alternative embodiment, the second generating unit includes: the second generation module is used for generating an evaluation index set based on the evaluation index system; the first obtaining module is used for substituting the original data of each evaluation index in the evaluation index system into the membership function model to obtain the membership of each evaluation index in the evaluation index system to the evaluation index set, so as to obtain the fuzzy evaluation matrix.
In an alternative embodiment, the second determining unit includes: the second acquisition module is used for combining the feature vector I with the weight of each evaluation index in an evaluation index system obtained by Bayesian network calculation to obtain a comprehensive weight vector of each evaluation index; the third acquisition module is used for acquiring the insulation aging fuzzy comprehensive evaluation result of the target cable through the product of the comprehensive weight vector and the fuzzy evaluation matrix; and the fourth acquisition module is used for acquiring the insulation aging risk grade based on the insulation aging fuzzy comprehensive evaluation result.
In an alternative embodiment, the apparatus for determining the insulation state of the cable further comprises: the selection unit is used for selecting a target processing strategy according to the insulation aging risk grade after the insulation aging risk grade of the target cable is determined based on the weight of each evaluation index and the fuzzy evaluation matrix; and the repair processing unit is used for repairing the target cable based on the target processing strategy.
Example 3
According to another aspect of the embodiment of the invention, a system for determining the insulation state of the cable is further provided, and the method for determining the insulation state of the cable is used.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the apparatus in which the computer storage medium is located is controlled to execute the method for determining the insulation state of a cable according to any one of the above.
Example 5
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a computer program, where the computer program executes the method for determining the insulation state of a cable according to any one of the above methods.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (12)
1. A method of determining the insulation state of a cable, comprising:
generating an evaluation index system of a target cable, wherein the target cable is a cable needing insulation aging risk grade evaluation, and the evaluation index system is used for carrying out insulation aging risk grade evaluation on the target cable;
determining the weight of each evaluation index in the evaluation index system;
generating a fuzzy evaluation matrix according to the evaluation index system;
determining an insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix;
determining an insulation aging state of the target cable based on the insulation aging risk level.
2. The method of claim 1, wherein the evaluation index system comprises: a first evaluation indicator subsystem and a second evaluation indicator subsystem, wherein the first evaluation indicator subsystem comprises at least one of: the second evaluation index subsystem comprises at least one of the following components: differential Scanning Calorimetry (DSC) curve corresponding to peak temperature, elongation at break and elastic modulus.
3. The method of claim 1, wherein determining the weight of each evaluation index in the evaluation index system comprises:
generating the weight of each evaluation index in the evaluation index system through an analytic hierarchy process;
and determining the weight of each evaluation index in the evaluation index system through a Bayesian network.
4. The method of claim 3, wherein generating the weight of each evaluation index in the evaluation index system by an analytic hierarchy process comprises:
carrying out layering processing on the insulation aging factors of the target cable to obtain a weight sorting result of each evaluation index in the evaluation index system and obtain a judgment matrix;
solving the eigenvectors in the decision matrix to obtain a solving result;
and carrying out normalization processing on the solving processing result to obtain a first feature vector formed by the weight of each evaluation index.
5. The method of claim 4, wherein determining the weight of each evaluation index in the evaluation index system through a Bayesian network comprises:
generating a fault tree of the evaluation index system;
generating a Bayesian network according to the fault tree;
and calculating the weight of each evaluation index in the evaluation index system by utilizing the Bayesian network.
6. The method of claim 1, wherein generating a fuzzy evaluation matrix from the evaluation index system comprises:
generating an evaluation index set based on the evaluation index system;
and substituting the original data of each evaluation index in the evaluation index system into a membership function model to obtain the membership of each evaluation index in the evaluation index system to the evaluation index set, so as to obtain the fuzzy evaluation matrix.
7. The method of claim 5, wherein determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix comprises:
combining the feature vector I with the weight of each evaluation index in the evaluation index system calculated by the Bayesian network to obtain a comprehensive weight vector of each evaluation index;
obtaining the insulation aging fuzzy comprehensive evaluation result of the target cable through the product of the comprehensive weight vector and the fuzzy evaluation matrix;
and acquiring the insulation aging risk grade based on the insulation aging fuzzy comprehensive evaluation result.
8. The method according to any one of claims 1 to 7, further comprising, after determining the insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix:
selecting a target processing strategy according to the insulation aging risk grade;
and performing repair processing on the target cable based on the target processing strategy.
9. An apparatus for determining an insulation state of a cable, comprising:
the device comprises a first generating unit, a second generating unit and a judging unit, wherein the first generating unit is used for generating an evaluation index system of a target cable, the target cable is a cable needing insulation aging risk level evaluation, and the evaluation index system is used for carrying out insulation aging risk level evaluation on the target cable;
a first determining unit, configured to determine a weight of each evaluation index in the evaluation index system;
the second generating unit is used for generating a fuzzy evaluation matrix according to the evaluation index system;
a second determination unit, configured to determine an insulation aging risk level of the target cable based on the weight of each evaluation index and the fuzzy evaluation matrix;
a third determination unit for determining an insulation aging state of the target cable based on the insulation aging risk level.
10. A cable insulation state determination system comprising the cable insulation state determination method according to any one of claims 1 to 8.
11. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed by a processor, controls an apparatus in which the computer storage medium is located to perform the method for determining an insulation state of a cable according to any one of claims 1 to 8.
12. A processor for executing a computer program, wherein the computer program executes the method for determining the insulation state of a cable according to any one of claims 1 to 8.
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