CN114236317A - Cable defect evaluation method, device, terminal and storage medium - Google Patents
Cable defect evaluation method, device, terminal and storage medium Download PDFInfo
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R19/145—Indicating the presence of current or voltage
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
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Abstract
The invention provides a cable defect assessment method, a cable defect assessment device, a terminal and a storage medium. The method comprises the following steps: acquiring the value of an electrical parameter of a pre-established cable typical defect physical model; acquiring the value of an electrical parameter of a cable actually running in a power grid; performing virtual simulation on a cable typical defect physical model and a cable actually running in a power grid based on a digital twinning technology to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and displaying corresponding values of electrical parameters in the corresponding virtual models; extracting the electrical parameters of the cable typical defect virtual model in proportion to obtain the weight ratio of each electrical parameter of the cable typical defect virtual model; and evaluating the defects of the cables actually operated in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cables actually operated in the power grid. The method can accurately obtain the defect type of the cable.
Description
Technical Field
The invention relates to the technical field of cable monitoring, in particular to a cable defect assessment method, a device, a terminal and a storage medium.
Background
In recent years, underground cables gradually replace traditional overhead lines and are applied to urban power grid construction. Among them, the crosslinked polyethylene cable is widely used because of its good mechanical and electrical properties. However, under the long-term combined action of many factors such as mechanical stress, humidity, temperature and electric field, the cable laid underground gradually deteriorates in insulation performance, and thus the problem of water tree aging occurs to various degrees. Water tree degradation refers to the retention of water in the insulation medium during cable manufacture or the formation of water branches into the cable interior for multiple reasons during cable use. The water tree branches can gradually change and move in the long-term operation process of the cable, and finally become air gaps to enable the cable to form a partial discharge phenomenon, so that the insulation layer is broken down to cause cable accidents. Therefore, the method has important significance for the research on the detection of the insulation state of the water tree aged crosslinked polyethylene cable.
At present, the state evaluation research of the cable is in a preliminary stage, the historical data is relatively insufficient, and the state of the cable is difficult to accurately evaluate, so that the defect type of the cable is obtained.
Disclosure of Invention
The embodiment of the invention provides a cable defect assessment method, a device, a terminal and a storage medium, which are used for solving the problem that the state of a cable is difficult to be accurately assessed in the prior art so as to obtain the defect type of the cable.
In a first aspect, an embodiment of the present invention provides a cable defect assessment method, including:
acquiring the value of an electrical parameter of a pre-established cable typical defect physical model;
acquiring the value of an electrical parameter of a cable actually running in a power grid;
performing virtual simulation on a cable typical defect physical model and a cable actually running in a power grid based on a digital twinning technology to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and displaying corresponding values of electrical parameters in the corresponding virtual models;
extracting the electrical parameters of the cable typical defect virtual model in proportion to obtain the weight ratio of each electrical parameter of the cable typical defect virtual model;
and evaluating the defects of the cables actually operated in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cables actually operated in the power grid.
In one possible implementation, the electrical parameters include breakdown voltage, leakage current, partial discharge onset voltage, partial discharge charge, electrode distance, and voltage polarity.
In a possible implementation manner, the extracting of the specific gravity of the electrical parameters of the virtual model of the typical defect of the cable to obtain the weight ratio of each electrical parameter of the virtual model of the typical defect of the cable includes:
and based on the high-dimensional random matrix, performing proportion extraction on the electrical parameters of the cable typical defect virtual model to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model.
In one possible implementation, the cable typical defect physical model comprises a tip discharge physical model, an internal air gap discharge physical model, a floating electrode discharge physical model and a creeping discharge physical model.
In one possible implementation, the point discharge physical model comprises a first grounding electrode, a single-layer first cross-linked polyethylene plate and a steel needle from bottom to top; wherein the steel needle is inserted into the first cross-linked polyethylene plate, and the steel needle is not contacted with the first grounding electrode;
the internal air gap discharge physical model comprises a second grounding electrode, three layers of second cross-linked polyethylene plates and a first circular plate copper electrode from bottom to top; wherein, the second crosslinked polyethylene plate positioned in the middle layer is provided with a through hole at the central position;
the suspension electrode discharge physical model comprises a third grounding electrode, a single-layer third crosslinked polyethylene plate and a second round plate copper electrode from bottom to top; wherein the third cross-linked polyethylene plate is in contact with a third grounding electrode, and the third cross-linked polyethylene plate is not in contact with the second circular plate copper electrode; a round copper sheet is placed at the edge of the third crosslinked polyethylene plate close to the second round plate copper electrode;
the creeping discharge physical model comprises a fourth grounding electrode, a single-layer fourth crosslinked polyethylene plate and a third round plate copper electrode from bottom to top; wherein the diameter of the fourth ground electrode is greater than the diameter of the fourth cross-linked polyethylene sheet, which is greater than the diameter of the fourth ground electrode.
In one possible implementation, the evaluating the defect of the cable actually running in the power grid according to the weight ratio of each electrical parameter of the virtual model of the typical defect of the cable and the value of the electrical parameter of the virtual model of the cable actually running in the power grid comprises:
and for each cable typical defect virtual model, calculating a defect evaluation value of the virtual model of the cable actually running in the power grid for the cable typical defect virtual model according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid, and if the defect evaluation value is greater than a preset evaluation threshold value corresponding to the cable typical defect virtual model, determining the defect type of the actual cable corresponding to the virtual model of the cable actually running in the power grid as the defect type of the cable typical defect virtual model.
In a second aspect, an embodiment of the present invention provides a cable defect assessment apparatus, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the values of electrical parameters of a pre-established cable typical defect physical model;
the second acquisition module is used for acquiring the value of the electrical parameter of the cable actually running in the power grid;
the virtual simulation module is used for virtually simulating a cable typical defect physical model and a cable actually running in the power grid based on a digital twin technology to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and displaying the corresponding values of the electrical parameters in the corresponding virtual models;
the proportion extraction module is used for extracting the electrical parameters of the cable typical defect virtual model in proportion to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model;
and the defect evaluation module is used for evaluating the defects of the cables actually operating in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cables actually operating in the power grid.
In one possible implementation, the electrical parameters include breakdown voltage, leakage current, partial discharge onset voltage, partial discharge charge, electrode distance, and voltage polarity.
In a third aspect, an embodiment of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the steps of the cable defect assessment method according to the first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and the computer program, when executed by a processor, implements the steps of the cable defect assessment method according to the first aspect or any one of the possible implementations of the first aspect.
The embodiment of the invention provides a cable defect evaluation method, a device, a terminal and a storage medium, wherein the method comprises the steps of obtaining the value of an electrical parameter of a pre-established cable typical defect physical model; acquiring the value of an electrical parameter of a cable actually running in a power grid; based on a digital twin technology, a cable typical defect physical model and a cable actually running in a power grid are subjected to virtual simulation to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and corresponding values of electrical parameters are displayed in the corresponding virtual models, so that the state of the cable actually running can be displayed in a virtual space in real time to reflect the whole life cycle process of the corresponding cable; the weight ratio of each electrical parameter of the cable typical defect virtual model is obtained by extracting the electrical parameters of the cable typical defect virtual model in proportion; the method comprises the steps of evaluating the defects of the cable actually running in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid, obtaining enough data by performing experiments on a pre-established cable typical defect physical model, and further accurately evaluating the state of the cable so as to obtain the defect type of the cable.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of an implementation of a cable defect assessment method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a physical model of a tip discharge provided by an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a physical model of internal air gap discharge provided by an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a suspended electrode discharge physical model provided by an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a creeping discharge physical model provided by an embodiment of the present invention;
FIG. 6 is a schematic diagram of a digital twinning frame design provided by an embodiment of the present invention;
FIG. 7 is a schematic diagram of the operation mechanism of the digital twin architecture provided by the embodiment of the invention;
FIG. 8 is a schematic structural diagram of a cable defect evaluating apparatus provided by an embodiment of the present invention;
fig. 9 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, it shows a flowchart of an implementation of the cable defect assessment method provided by the embodiment of the present invention, where an execution subject of the cable defect assessment method may be a terminal.
Referring to fig. 1, the cable defect evaluation method is detailed as follows:
in S101, values of electrical parameters of a pre-established physical model of a typical defect of a cable are acquired.
In this embodiment, a plurality of cable typical defect physical models are established in advance, and by powering on each cable typical defect physical model and performing a simulation experiment, the value of the electrical parameter of each cable typical defect physical model in a preset time period can be obtained, so that a large amount of data can be obtained, and the problem of insufficient historical data is solved. Typical defect types of cables may include, among others, tip discharge, internal air gap discharge, floating electrode discharge and creeping discharge.
The values of the electrical parameters of the typical defect physical models of the cables in the preset time period can be obtained through an online monitoring sensor, a mobile inspection terminal and the like.
In some embodiments, the cable representative defect physical model includes a tip discharge physical model, an internal air gap discharge physical model, a floating electrode discharge physical model, and a creeping discharge physical model.
In some embodiments, referring to fig. 2, the tip discharge physical model comprises a bottom-up first ground electrode 21, a single-layer first cross-linked polyethylene sheet 22, and a steel needle 23; wherein the steel needle 23 is inserted into the first cross-linked polyethylene plate 22, and the steel needle 23 is not in contact with the first ground electrode 21;
referring to fig. 3, the internal air gap discharge physical model includes a second ground electrode 31, three second cross-linked polyethylene plates 32 and a first circular plate copper electrode 33 from bottom to top; wherein, the second cross-linked polyethylene plate 32 positioned in the middle layer has a through hole 34 at the center;
referring to fig. 4, the suspended electrode discharge physical model includes a third ground electrode 41, a single-layer third cross-linked polyethylene plate 42, and a second circular plate copper electrode 43 from bottom to top; wherein the third cross-linked polyethylene plate 42 is in contact with the third ground electrode 41, and the third cross-linked polyethylene plate 42 is not in contact with the second circular plate copper electrode 43; a round copper sheet 44 is arranged at the edge of the third crosslinked polyethylene plate 42 close to the second round plate copper electrode 43;
referring to fig. 5, the creeping discharge physical model includes a fourth ground electrode 51, a single-layer fourth cross-linked polyethylene plate 52 and a third round plate copper electrode 53 from bottom to top; wherein the diameter of the fourth ground electrode 51 is larger than the diameter of the fourth cross-linked polyethylene plate 52, and the diameter of the fourth cross-linked polyethylene plate 52 is larger than the diameter of the fourth ground electrode 51.
Among them, the circular plate copper electrode may also be referred to as a high electrode or a high voltage electrode.
By a defect evaluation modeling method aiming at the defects that the cable contains impurities and the cable contains water trees, on the basis of researching the common faults of the crosslinked polyethylene XLPE cable, such as mechanical damage, natural aging of insulation, material defects, the influence of design process manufacturing, overvoltage and the like, the common phenomenon generated by the fault of the natural aging of the insulation is focused, and the treeing is the main reason for the aging damage of the cable. In addition, cable material defects include the presence of rough or rough ends or burrs on the surface of the crosslinked polyethylene conductor, the presence of impurities in the XLPE insulation, the presence of voids in the cable accessories, and the like.
In order to detect potential defects of the cable, avoid accidents and ensure stable operation of a power equipment system, the insulation detection of the cable is realized by an insulation online detection technology. The insulation online detection method mainly comprises online current detection, online tan delta detection, online partial discharge detection and the like, and the insulation aging condition of the cable is judged by online detection of partial discharge of the cable because the cable has insulation defects accompanied with the partial discharge. The partial discharge on-line detection method can directly and effectively judge the cable insulation fault, and other on-line detection technologies achieve the detection purpose by measuring different objects and cannot directly detect partial discharge signals. The detection and identification of partial discharge are utilized to know and evaluate the insulation state of the power equipment operating in the power system, so the high-voltage cable defect identification research mainly focuses on the identification of the partial discharge mode of the high-voltage cable. The partial discharge detection technology mainly comprises an ultrahigh frequency method, an ultrasonic wave method, a traditional pulse current method and the like.
The cable middle and end connections are most susceptible to breakdown during cable operation. The electric field intensity is increased due to the sharp points or burrs on the conductor part of the cable, so that the insulation layer around the sharp points or burrs is subjected to partial discharge, and the insulation breakdown phenomenon is generated. Impurities or air gaps appear in the main insulation of the cable, and under the action of an electric field, the impurities and the air gaps are subjected to discharge, carbonization and gasification before the main insulation, and finally the air gaps are formed to generate a partial discharge phenomenon. A metal floating potential exists between the conductor and the accessory, causing the floating electrode to discharge. When the rubber is not in close contact with the epoxy interface, creeping discharge may occur. According to the corresponding relation between the actual defects of the cable and a laboratory discharge model, four laboratory defect models of four common fault types, namely spikes, air gaps, suspended conductive particles and surface flashover, of an intermediate joint of the XLPE cable are manufactured, the four typical defect models are as follows, insulating materials of all discharge models are crosslinked polyethylene, the thickness of a single-layer crosslinked polyethylene plate is 2mm, and round plate copper materials are selected for a high electrode and a grounding electrode.
Referring to fig. 2, a tip discharge physical model is shown. The diameter of the first ground electrode 21 was 90mm, the thickness of the first cross-linked polyethylene plate 22 was 2mm, the radius of curvature of the tip of the steel needle 23 was 48.2pm, and the steel needle 23 was inserted into the first cross-linked polyethylene plate 22 without contacting the ground electrode.
Referring to fig. 3, an internal air gap discharge physical model is shown. The second ground electrode 31 and the first circular plate copper electrode 33 have the same diameter, and both have a diameter of 90 mm. A circular hole having a diameter of 10mm was punched through the center of one of the second crosslinked polyethylene sheets 32 to form an air gap, three layers of the second crosslinked polyethylene sheets 32 were bonded using epoxy resin, and the second crosslinked polyethylene sheet 32 having the through-hole 34 was placed on the middle layer.
Referring to fig. 4, a physical model of floating electrode discharge is shown. The third ground electrode 41 and the second circular plate copper electrode 43 have the same diameter and are 90mm in diameter, and the third crosslinked polyethylene plate 42 is in contact with the third ground electrode 41 but not in contact with the second circular plate copper electrode 43. A thin round copper sheet 44 with a diameter of 10mm is placed at the edge of the third crosslinked polyethylene plate 42 close to the second round plate copper electrode 43, and the round copper sheet 44 is not in contact with the second round plate copper electrode 43.
Referring to fig. 5, a creeping discharge physical model is shown. The diameter of the fourth ground electrode 51 was 90mm, the diameter of the fourth cross-linked polyethylene sheet 52 was 70mm, and the diameter of the third round sheet copper electrode 53 was 25 mm.
Through the physical model, the research on key parameters can be carried out by combining actual parameters of cable equipment such as voltage grade, cable sectional area and the like.
In some embodiments, the electrical parameters include breakdown voltage, leakage current, partial discharge onset voltage, partial discharge charge, electrode distance, and voltage polarity.
Wherein, the electrode distance can be the distance between the grounding electrode and the circular plate copper electrode.
In S102, values of electrical parameters of the cable actually running in the grid are obtained.
The value of the electrical parameter of the cable actually running in the power grid can be obtained by the existing method, for example, by an online monitoring sensor, a mobile inspection terminal and the like.
After the on-line monitoring sensor, the mobile inspection terminal and other equipment detect the value of the electric parameter of the cable, the electric parameter can be encrypted through a network transmission layer and then uploaded to the terminal.
In S103, based on the digital twin technology, the cable typical defect physical model and the cable actually running in the power grid are virtually simulated to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and the corresponding values of the electrical parameters are displayed in the corresponding virtual models.
In this embodiment, a digital twin technology can realize one-to-one mapping between virtual and real, and a user can realize real-time monitoring of a cable actually running in a power grid through a virtual model and know the state of the cable in time. The electrical parameters of the corresponding cable typical defect physical model can be displayed in the cable typical defect virtual model, and the values of the electrical parameters of the corresponding actual cable can be displayed in the virtual model of the cable actually running in the power grid.
The method is characterized in that various operation data are collected in real time by relying on operation data and monitoring data of cable equipment, live detection data and a mobile inspection terminal, and are uploaded to a cable digital twin evaluation system of the terminal after being encrypted through a network transmission layer, so that the operation data and the monitoring data of the cable equipment, the monitoring data and forecast data of the environment, the real-time position and the operation state of personnel, the health state of the cable equipment and other dynamic data are mapped onto a three-dimensional model in real time, the details of the power grid equipment are described, the historical operation state is presented, the future trend of the power grid operation is deduced, and the overall situation, the full-time situation and the full state of the power grid are seen in one picture.
When the mechanism model is insufficient, the data driving mode can still obtain the result of meeting the actual operation requirement, the feasibility of the digital twin system is explored, and the frame design diagram and the operation mechanism of the corresponding digital twin power grid are respectively shown in fig. 6 and fig. 7. In the frame design of fig. 6, the cable device obtains the physical quantity of the cable device in real time through the field sensor, the manual inspection, the online monitoring and other modes, transmits the physical quantity to the data driving library through the encryption communication network mode, and then realizes the reconstruction of the cable device in the digital virtual world through the entity simulation, the mechanism simulation, the software simulation and the classical design experience on the basis of the data, namely the real application of the digital twin technology. Through the attribute addition of the digital reconstruction equipment, the deduction of various virtual operation working conditions and the real reflection of actual operation working conditions can be realized, so that the follow-up operation and maintenance decision can be assisted. Fig. 7 shows the digital twin architecture and the operation mechanism in detail from the aspects of a perception layer, a network layer, a platform layer, an application layer and the like.
In S104, the electrical parameters of the cable typical defect virtual model are extracted by weight, so as to obtain a weight ratio of each electrical parameter of the cable typical defect virtual model.
In this embodiment, each cable defect type corresponds to a weighted ratio of electrical parameters. The method can be used for extracting the electrical parameters of the cable typical defect virtual model in proportion by adopting the existing method to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model.
In a possible implementation manner, before the step S104, the method may further include:
acquiring electrical parameters of a pre-established normal cable physical model;
performing virtual simulation on a normal cable physical model based on a digital twinning technology to obtain a normal cable virtual model, and displaying the value of an electrical parameter of the normal cable physical model in the normal cable virtual model;
the S104 may include the steps of:
aiming at each cable typical defect virtual model, according to a formula
Calculating the weight ratio of each electrical parameter of the cable typical defect virtual model; wherein, PkThe weight ratio of the kth electrical parameter of the cable typical defect virtual model; ck1The value of the k electrical parameter of the cable typical defect virtual model; ck2Is the value of the kth electrical parameter of the normal cable physical model; l is the number of electrical parameters; cl1The value of the first electrical parameter of the cable typical defect virtual model; cl2Is the value of the ith electrical parameter of the normal physical model of the cable.
In some embodiments, the S104 may include the following steps:
and based on the high-dimensional random matrix, performing proportion extraction on the electrical parameters of the cable typical defect virtual model to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model.
For the four common typical defect models and the digital twin architecture principle of the cable, the cable defect assessment can be carried out by the following steps:
(1) cable typical defect characteristic parameter determination
Aiming at four common typical defect conditions of cable point discharge, internal discharge, suspension discharge, creeping discharge and the like, electrical test characteristics and physical quantity distinguishing characterization are combined for consideration, and breakdown voltage U is mainly usedjLeakage current I, partial discharge starting voltage UqThe partial discharge electric quantity Q, the electrode distance D, the voltage polarity T and other factors are deeply analyzed so as to further determine the specific relevance and weight ratio between each factor and different typical defects.
(2) Cable typical defect characteristic quantity value specific gravity extraction
The time and space characteristics of the cable multi-dimensional measurement data are considered to be processed in a combined mode, and a high-dimensional random matrix-based operation data modeling and defect detection method is provided. Firstly, on the basis of analyzing the type of system operation data, a high-dimensional random matrix theory is introduced to complete the construction of a cable operation big data model and the derivation of a defect detection method.
If the cable operation big data model matrix A conforms to the progressive reconstruction model, the characteristic value of the signal matrix is
Let the estimate of matrix A be
Then
Wherein A is an mxn matrix and parameter ciOnly with the signal eigenvalues σ1(Y)，...，σmin(m,n)(Y) correlation, ui、
Is a matrix after singular value decomposition. From this, the matrix reconstruction function can be obtained by equation (1) as follows:
considering that the main diagonal elements of the covariance matrix of the multidimensional operation data are the embodiment of target data and defect data, when the existence and the nonexistence of effective data are respectively considered, the obtained functions have obvious difference. Therefore, the signal matrix defect data can be determined according to equation (4).
Assume that the B matrix is defined as follows:
wherein, bjIs a sub-element (j ═ 1, 2.. N) of the matrix B, NjIs a sub-element bjThe sequence positions are characterized in matrix B.
And (3) carrying out matrix reconstruction and extracting characteristic quantity values through the formulas (1) to (4), so as to obtain a cable operation big data matrix containing typical defect data.
(3) Cable operation data virtual-real mapping correlation modeling
On the basis of the design of a digital twin virtual body framework, a cable operation information virtual-real mapping relation model can be described by the following formulas (5) to (7):
wherein E isDFRepresenting cable running dimension information, DUj'、DI'、DUq'、DQ'、DD'、DT' respectively represents a virtual body set of dimensional information such as cable breakdown voltage, leakage current, partial discharge initial voltage, partial discharge electric quantity, electrode distance, voltage polarity and the like in a cable digital twin framework.
Natural connection among all factors is shown, and autonomous interaction among all factors of cable operation is shown.
Based on the inherent logical and essential relationships of the digital twin, one can derive:
wherein the content of the first and second substances,
and representing the one-to-one mapping relation between the actual dimension information of the equipment operation and the dimension information of the digital twin virtual body.
(4) Cable typical defect identification and evaluation
A typical cable defect analysis scene is constructed in a digital twin system, and longitudinal data analysis is carried out on cable defects through four layers such as a basic data layer, a three-dimensional model layer, a time-space simulation layer and a business application layer, so that real-time interaction and comparison between physical entity equipment based on a power cable and a virtual model of the digital twin system are realized. The typical cable defect characteristic quantity can be subjected to matrix reconstruction and characteristic quantity value extraction through formulas (1) - (7), the correlation relationship between the typical cable defect and relevant factors is obtained through a cable operation data virtual-real mapping correlation model, and finally, the real-time judgment, accurate evaluation and timely pushing of maintenance strategies on the typical cable defect are achieved. The correlation of the evaluation factors is shown in table 1.
TABLE 1 correlation between typical cable defects and related factors (weight ratio probability)
It can be analyzed from Table 1 that the point discharge defect and the breakdown voltage UjAnd partial discharge start voltage UqThe internal discharge defects are closely related to the voltage polarity T to a great extent, the suspension discharge defects are closely related to the electrode distance D, and the creeping discharge defects can be clearly characterized by the leakage current I.
In S105, the defect of the cable actually running in the power grid is evaluated according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid.
In some embodiments, the above S105 may include the following steps:
and for each cable typical defect virtual model, calculating a defect evaluation value of the virtual model of the cable actually running in the power grid for the cable typical defect virtual model according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid, and if the defect evaluation value is greater than a preset evaluation threshold value corresponding to the cable typical defect virtual model, determining the defect type of the actual cable corresponding to the virtual model of the cable actually running in the power grid as the defect type of the cable typical defect virtual model.
In this embodiment, for each cable typical defect virtual model, the value of each electrical parameter of the virtual model of the cable actually running in the power grid is multiplied by the weight ratio of the corresponding electrical parameter of the cable typical defect virtual model, and then summed to obtain the defect evaluation value of the virtual model of the cable actually running in the power grid for the cable typical defect virtual model. If the defect evaluation value is larger than a preset evaluation threshold value corresponding to the cable typical defect virtual model, determining the defect type of an actual cable corresponding to the virtual model of the cable actually running in the power grid as the defect type of the cable typical defect virtual model; and if the defect evaluation value is not greater than the preset evaluation threshold value corresponding to the cable typical defect virtual model, determining that the defect type of the actual cable corresponding to the virtual model of the cable actually running in the power grid is not the defect type of the cable typical defect virtual model.
And if the defect evaluation value of the virtual model of the cable actually running in the power grid to each cable typical defect virtual model is not greater than the preset evaluation threshold value corresponding to the cable typical defect virtual model, determining that the actual cable corresponding to the virtual model of the cable actually running in the power grid is normal and has no defect.
The presence and type of defects can be determined for each cable actually running in the grid by the above method.
The preset evaluation threshold corresponding to each cable typical defect virtual model may be determined according to a large number of experiments, and is not specifically limited herein.
In the embodiment, the electric parameters of a pre-established physical model of the typical defects of the cable are obtained; acquiring electrical parameters of a cable actually running in a power grid; based on a digital twin technology, a cable typical defect physical model and a cable actually running in a power grid are subjected to virtual simulation to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, corresponding electrical parameters are displayed in the corresponding virtual model, the state of the cable actually running can be displayed in a virtual space in real time, and the whole life cycle process of the corresponding cable is reflected; the weight ratio of each electrical parameter of the cable typical defect virtual model is obtained by extracting the electrical parameters of the cable typical defect virtual model in proportion; the defects of the cable which actually runs in the power grid are evaluated according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the electrical parameters of the virtual model of the cable which actually runs in the power grid, enough data can be obtained by performing experiments on a pre-established cable typical defect physical model, and then the state of the cable can be accurately evaluated, so that the defect type of the cable is obtained.
On the basis of the existing modeling simulation and on-line monitoring technology of the cable running state, the digital twin system can meet the requirements of the power cable on precision and adaptability of real-time state evaluation in a dynamic variable running environment through the technologies of state perception, edge calculation, intelligent interconnection, protocol adaptation, intelligent analysis and the like.
The digital twin is a simulation process integrating multidisciplinary, multi-physical quantity, multi-scale and multi-probability by fully utilizing data such as a physical model, sensor updating, operation history and the like, and mapping is completed in a virtual space, so that the full life cycle process of corresponding entity equipment is reflected. The digital twin technology can establish a virtual model according to a physical model, obtain simulation data of equipment operation through virtual entity operation, and correct according to actual data to obtain a large amount of sensor data, so that the problem of insufficient data of the existing cable is solved. And the actual operating conditions of the power cable are fully considered by the digital twin-based multi-physical parametric evaluation model, so that the state evaluation result is more accurate.
Therefore, it is necessary to establish a defect model based on digital twinning, wherein the cable contains impurities and the cable contains a water tree, calculate and obtain a three-dimensional electric field and potential result of the cable on the basis, analyze the influence of the impurities, the water tree structure and electric material parameters on the defect state of the cable, and establish a defect state evaluation model of the cable in a poor thermal environment on the basis, so that the requirements of the precision and adaptability of the real-time state evaluation of the power cable in a dynamic variable operation environment are met, and the safe operation of equipment is effectively improved.
According to the cable defect evaluation method, a cable three-dimensional electric field and potential result is obtained by calculation on the basis of establishing a digital twin framework oriented to cable insulation state evaluation and a model based on the digital twin, the influence of impurities, a water tree structure and electric material parameters on the cable defect state is analyzed, data such as a refined physical model, intelligent sensor data and operation and maintenance history are fully utilized, multiple subjects, multiple physical quantities, multiple scales and multiple probabilities such as electricity, magnetism, heat and fluid are integrated for simulation, and the mapping of a cable defect evaluation system is completed in a virtual space, so that the influence of the impurities, the water tree structure and the electric material parameters on the cable defect state can be further analyzed, the whole life cycle process of corresponding equipment is reflected, the real-time updating and dynamic evolution can be realized, and the real mapping of the cable defect evaluation system is realized.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 8 is a schematic structural diagram of a cable defect evaluating apparatus provided by an embodiment of the present invention, and for convenience of explanation, only the parts related to the embodiment of the present invention are shown, and detailed below:
as shown in fig. 8, the cable defect evaluating apparatus 80 includes: a first acquisition module 81, a second acquisition module 82, a virtual simulation module 83, a proportion extraction module 84, and a defect evaluation module 85.
A first obtaining module 81, configured to obtain values of electrical parameters of a pre-established physical model of a typical defect of a cable;
a second obtaining module 82, configured to obtain a value of an electrical parameter of a cable actually running in the power grid;
the virtual simulation module 83 is configured to perform virtual simulation on the physical model of the typical cable defect and the cable actually running in the power grid based on a digital twin technology to obtain a virtual model of the typical cable defect and a virtual model of the cable actually running in the power grid, and display a corresponding value of the electrical parameter in the corresponding virtual model;
the proportion extraction module 84 is used for extracting the electrical parameters of the cable typical defect virtual model in proportion to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model;
and the defect evaluation module 85 is used for evaluating the defects of the cables actually operating in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cables actually operating in the power grid.
In one possible implementation, the electrical parameters include breakdown voltage, leakage current, partial discharge onset voltage, partial discharge charge, electrode distance, and voltage polarity.
In one possible implementation, the specific gravity extraction module 84 is specifically configured to:
and based on the high-dimensional random matrix, performing proportion extraction on the electrical parameters of the cable typical defect virtual model to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model.
In one possible implementation, the cable typical defect physical model comprises a tip discharge physical model, an internal air gap discharge physical model, a floating electrode discharge physical model and a creeping discharge physical model.
In one possible implementation, the point discharge physical model comprises a first grounding electrode, a single-layer first cross-linked polyethylene plate and a steel needle from bottom to top; wherein the steel needle is inserted into the first cross-linked polyethylene plate, and the steel needle is not contacted with the first grounding electrode;
the internal air gap discharge physical model comprises a second grounding electrode, three layers of second cross-linked polyethylene plates and a first circular plate copper electrode from bottom to top; wherein, the second crosslinked polyethylene plate positioned in the middle layer is provided with a through hole at the central position;
the suspension electrode discharge physical model comprises a third grounding electrode, a single-layer third crosslinked polyethylene plate and a second round plate copper electrode from bottom to top; wherein the third cross-linked polyethylene plate is in contact with a third grounding electrode, and the third cross-linked polyethylene plate is not in contact with the second circular plate copper electrode; a round copper sheet is placed at the edge of the third crosslinked polyethylene plate close to the second round plate copper electrode;
the creeping discharge physical model comprises a fourth grounding electrode, a single-layer fourth crosslinked polyethylene plate and a third round plate copper electrode from bottom to top; wherein the diameter of the fourth ground electrode is greater than the diameter of the fourth cross-linked polyethylene sheet, which is greater than the diameter of the fourth ground electrode.
In one possible implementation, the defect review module 85 is specifically configured to:
and for each cable typical defect virtual model, calculating a defect evaluation value of the virtual model of the cable actually running in the power grid for the cable typical defect virtual model according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid, and if the defect evaluation value is greater than a preset evaluation threshold value corresponding to the cable typical defect virtual model, determining the defect type of the actual cable corresponding to the virtual model of the cable actually running in the power grid as the defect type of the cable typical defect virtual model.
Fig. 9 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 9, the terminal 9 of this embodiment includes: a processor 90, a memory 91 and a computer program 92 stored in said memory 91 and executable on said processor 90. The processor 90, when executing the computer program 92, implements the steps in the various cable defect assessment method embodiments described above, such as S101-S105 shown in fig. 1. Alternatively, the processor 90, when executing the computer program 92, implements the functions of the modules/units in the above-described device embodiments, such as the modules/units 81 to 85 shown in fig. 8.
Illustratively, the computer program 92 may be partitioned into one or more modules/units that are stored in the memory 91 and executed by the processor 90 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 92 in the terminal 9. For example, the computer program 92 may be divided into modules/units 81 to 85 shown in fig. 8.
The terminal 9 may include, but is not limited to, a processor 90, a memory 91. It will be appreciated by those skilled in the art that fig. 9 is only an example of a terminal 9 and does not constitute a limitation of the terminal 9 and may comprise more or less components than those shown, or some components may be combined, or different components, for example the terminal may further comprise input output devices, network access devices, buses, etc.
The Processor 90 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 91 may be an internal storage unit of the terminal 9, such as a hard disk or a memory of the terminal 9. The memory 91 may also be an external storage device of the terminal 9, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the terminal 9. Further, the memory 91 may also include both an internal storage unit and an external storage device of the terminal 9. The memory 91 is used for storing the computer program and other programs and data required by the terminal. The memory 91 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be 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, devices or units, and may be in an electrical, mechanical 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 network 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 modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the cable defect assessment method embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A cable defect assessment method, comprising:
acquiring the value of an electrical parameter of a pre-established cable typical defect physical model;
acquiring the value of an electrical parameter of a cable actually running in a power grid;
performing virtual simulation on the cable typical defect physical model and the cable actually running in the power grid based on a digital twin technology to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and displaying corresponding values of electrical parameters in the corresponding virtual models;
extracting the electrical parameters of the cable typical defect virtual model in proportion to obtain the weight ratio of each electrical parameter of the cable typical defect virtual model; and evaluating the defects of the cables actually operating in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the values of the electrical parameters of the virtual model of the cables actually operating in the power grid.
2. The cable defect assessment method of claim 1, wherein said electrical parameters comprise breakdown voltage, leakage current, partial discharge onset voltage, partial discharge charge, electrode distance and voltage polarity.
3. The cable defect assessment method according to claim 1, wherein the extracting of the electrical parameters of the virtual model of the cable typical defects by weight to obtain the ratio of the electrical parameters of the virtual model of the cable typical defects by weight comprises:
and based on a high-dimensional random matrix, performing proportion extraction on the electrical parameters of the cable typical defect virtual model to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model.
4. The cable defect assessment method according to claim 1, wherein said cable typical defect physical models comprise a tip discharge physical model, an internal air gap discharge physical model, a floating electrode discharge physical model and a creeping discharge physical model.
5. The cable defect assessment method of claim 4, wherein said tip discharge physical model comprises a bottom-up first ground electrode, a single layer first cross-linked polyethylene sheet and a steel needle; wherein the steel needle is inserted into the first cross-linked polyethylene sheet without the steel needle contacting the first ground electrode;
the internal air gap discharge physical model comprises a second grounding electrode, three layers of second cross-linked polyethylene plates and a first round plate copper electrode from bottom to top; wherein, the second crosslinked polyethylene plate positioned in the middle layer is provided with a through hole at the central position;
the suspension electrode discharge physical model comprises a third grounding electrode, a single-layer third crosslinked polyethylene plate and a second round plate copper electrode from bottom to top; wherein the third cross-linked polyethylene sheet is in contact with the third ground electrode and the third cross-linked polyethylene sheet is not in contact with the second circular plate copper electrode; a round copper sheet is placed at the edge of the third crosslinked polyethylene plate close to the second round plate copper electrode;
the creeping discharge physical model comprises a fourth grounding electrode, a single-layer fourth crosslinked polyethylene plate and a third round plate copper electrode from bottom to top; wherein the diameter of the fourth ground electrode is greater than the diameter of the fourth cross-linked polyethylene sheet, which is greater than the diameter of the fourth ground electrode.
6. The cable defect assessment method according to any one of claims 1 to 5, wherein said assessing the defect of the cable actually running in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid comprises:
and for each cable typical defect virtual model, calculating a defect evaluation value of the virtual model of the cable actually running in the power grid for the cable typical defect virtual model according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cable actually running in the power grid, and if the defect evaluation value is larger than a preset evaluation threshold value corresponding to the cable typical defect virtual model, determining the defect type of the actual cable corresponding to the virtual model of the cable actually running in the power grid as the defect type of the cable typical defect virtual model.
7. A cable defect assessment apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the values of electrical parameters of a pre-established cable typical defect physical model;
the second acquisition module is used for acquiring the value of the electrical parameter of the cable actually running in the power grid;
the virtual simulation module is used for virtually simulating the cable typical defect physical model and the cable actually running in the power grid based on a digital twin technology to obtain a cable typical defect virtual model and a virtual model of the cable actually running in the power grid, and displaying the corresponding values of the electrical parameters in the corresponding virtual models;
the proportion extraction module is used for extracting the electrical parameters of the cable typical defect virtual model in proportion to obtain the weight proportion of each electrical parameter of the cable typical defect virtual model;
and the defect evaluation module is used for evaluating the defects of the cables actually operating in the power grid according to the weight ratio of each electrical parameter of the cable typical defect virtual model and the value of the electrical parameter of the virtual model of the cables actually operating in the power grid.
8. The cable defect review device of claim 7, wherein the electrical parameters include breakdown voltage, leakage current, partial discharge onset voltage, partial discharge charge, electrode distance, and voltage polarity.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the cable defect assessment method according to any one of the preceding claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the cable defect assessment method according to any one of the preceding claims 1 to 6.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114595616A (en) * | 2022-05-09 | 2022-06-07 | 国网江苏省电力有限公司常州供电分公司 | Abnormal point extraction method and device for irregular cable arrangement |
| CN115856514A (en) * | 2023-02-28 | 2023-03-28 | 宝胜高压电缆有限公司 | Intelligent operation abnormity monitoring and positioning method and system for polypropylene cable |
| CN115932476A (en) * | 2022-12-12 | 2023-04-07 | 触景无限科技（北京）有限公司 | Fault positioning method and device based on digital twinning, electronic equipment and medium |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114595616A (en) * | 2022-05-09 | 2022-06-07 | 国网江苏省电力有限公司常州供电分公司 | Abnormal point extraction method and device for irregular cable arrangement |
| CN114595616B (en) * | 2022-05-09 | 2022-08-30 | 国网江苏省电力有限公司常州供电分公司 | Abnormal point extraction method and device for irregular cable arrangement |
| CN115932476A (en) * | 2022-12-12 | 2023-04-07 | 触景无限科技（北京）有限公司 | Fault positioning method and device based on digital twinning, electronic equipment and medium |
| CN115932476B (en) * | 2022-12-12 | 2023-08-29 | 触景无限科技（北京）有限公司 | Fault positioning method and device based on digital twin, electronic equipment and medium |
| CN115856514A (en) * | 2023-02-28 | 2023-03-28 | 宝胜高压电缆有限公司 | Intelligent operation abnormity monitoring and positioning method and system for polypropylene cable |
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