CN113092960A - Insulator icing flashover monitoring method, device, equipment and storage medium - Google Patents
Insulator icing flashover monitoring method, device, equipment and storage medium Download PDFInfo
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- CN113092960A CN113092960A CN202110351670.8A CN202110351670A CN113092960A CN 113092960 A CN113092960 A CN 113092960A CN 202110351670 A CN202110351670 A CN 202110351670A CN 113092960 A CN113092960 A CN 113092960A
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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
- G01R31/12—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
- G01R31/1218—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 using optical methods; using charged particle, e.g. electron, beams or X-rays
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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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1245—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of line insulators or spacers, e.g. ceramic overhead line cap insulators; of insulators in HV bushings
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
The invention discloses a method, a device, equipment and a storage medium for monitoring insulator icing flashover. The method for monitoring insulator icing flashover comprises the following steps: collecting characteristic information of polarized light signals transmitted in an OPGW optical cable erected among towers; an icing flashover confidence rule base is established based on the characteristic information, and the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault; acquiring a reference value corresponding to the characteristic information; calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value; fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault; and judging whether the icing flashover fault occurs or not based on the target confidence. And the icing flashover confidence rule base is utilized to analyze and determine whether the insulator has icing flashover or not, so that the cost and the workload for monitoring the insulator icing flashover are reduced.
Description
Technical Field
The embodiment of the invention relates to a disaster prevention and reduction technology of a power system, in particular to a method, a device, equipment and a storage medium for monitoring insulator icing flashover.
Background
With the continuous development of power systems, the erection coverage area of the power transmission line is continuously increased, wherein the area of the ice coating area spanned by the power transmission line is also continuously increased.
The transmission line crossing the ice-covered area is easy to cause the condensation and freezing of water drops on the transmission line due to the influence of low temperature. The ice blocks condensed on the power transmission line can increase the conductivity of an ice layer due to the combination with dirt in the air, so that the leakage current of the ice-coated insulator is increased, the insulating property of the insulator is reduced, the phenomenon of ice-coating flashover is caused to happen occasionally, and the operation safety of a power system is seriously influenced.
At present, for the occurrence of the phenomenon of ice coating flashover of the insulator, the ice coating flashover of the insulator is mainly monitored by carrying out image monitoring on a power transmission line or by measuring the leakage current of the insulator. However, the ice coating flashover monitoring of the insulator by means of image monitoring or measuring of the leakage current of the insulator requires a large amount of monitoring equipment, so that the monitoring workload is large, the monitoring cost is high, and the method is difficult to be widely applied to an ice coating area to realize the ice coating flashover monitoring of the crossing of the power transmission line.
Disclosure of Invention
The invention provides a method, a device and equipment for monitoring insulator icing flashover and a storage medium, which are used for monitoring the insulator icing flashover of a power transmission line and reducing the monitoring workload and cost.
In a first aspect, an embodiment of the present invention provides a method for monitoring insulator icing flashover, including:
collecting characteristic information of polarized light signals transmitted in an OPGW optical cable erected among towers;
establishing an icing flashover confidence rule base based on the characteristic information, wherein the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault;
acquiring a reference value corresponding to the characteristic information;
calculating an activation weight of a rule of each icing flashover confidence rule base based on the characteristic information and the reference value;
fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault;
and judging whether the icing flashover fault occurs or not based on the target confidence.
Optionally, two sides of the OPGW optical cable are connected with a first monitoring host and a second monitoring host respectively;
gather the characteristic information of the polarized light signal of transmission in the OPGW optical cable of erectting between the shaft tower, include:
collecting the sending time and the receiving time of the polarized light signal transmitted between the first monitoring host and the second monitoring host;
collecting an electric signal converted from the polarized light signal received by the first monitoring host and/or the second monitoring host;
generating a waveform map and a spectrogram based on the transmission time, the reception time, and the electrical signal;
and acquiring target time and voltage amplitude from the oscillogram, and acquiring the frequency and vibration amplitude of the electric signal from the spectrogram as characteristic information.
Optionally, the generating a waveform map and a spectrogram based on the sending time, the receiving time and the electric signal includes:
generating a oscillogram by taking the transmission time as an X axis and the voltage amplitude of the electric signal as a Y axis based on the sending time, the receiving time and the electric signal;
and generating a spectrogram with the frequency of the electric signal as an X axis and the vibration amplitude of the electric signal as a Y axis based on the oscillogram.
Optionally, the building of the icing flashover confidence rule base based on the feature information includes:
an icing flashover confidence rule base is established based on the characteristic information, and the kth rule of the icing flashover confidence rule base is described as follows:
Then{(D1,β1,k)，(D2,β2,k)，…，(DN，βN,k)}
wherein the content of the first and second substances,
denotes a set of reference values corresponding to the kth rule, D ═ D1,D2,…,DN]Set of vectors, β, representing the output resultk＝[β1,k,β2,k,…,βN,k]Set of vectors, θ, representing confidence of the structure of the outputkDenotes the activation weight, δ, corresponding to the kth ruleMRepresenting the weight of the mth prerequisite attribute in the rule.
Optionally, the obtaining a reference value corresponding to the feature information includes:
acquiring a preset initial reference value corresponding to the characteristic information;
calculating a reference confidence corresponding to the characteristic information based on the characteristic information, the initial reference value and the icing flashover confidence rule base;
collecting actually measured confidence coefficient of icing flashover actually measured in preset time;
updating the initial reference value in a least mean square manner based on the reference confidence and the measured confidence, acting as a target reference value.
Optionally, the calculating an activation weight of a rule of each icing flashover confidence rule base based on the feature information and the reference value includes:
calculating the activation weight w of the rule of each ice covering flashover confidence rule base by using the following formulak：
Wherein, wk∈[0,1],k＝1,2,…，L；
Representing the characteristic information of the i-th input in the k-th rule with respect to a reference value
The confidence of (c).
Optionally, the fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence of the occurrence of the icing flashover fault includes:
calculating a confidence β of a result to be output based on the following formulaj,kConversion to a probability mass function:
wherein m isj，kRelative to the evaluation result DjA basic probability setting of (1); m isD，kA set of vectors D ═ D [ D ] representing the results output by the icing flashover confidence rule base1，D2，…，DN]A basic probability setting of (1);
let mj,I(k)＝mj,1，mD,I(k)＝mD,1And calculating the output result of the icing flashover confidence rule base based on the following formula:
wherein m isi,j(k)Shows that the first k rules are combined by using a evidence reasoning algorithm and then are compared with DjIs set up to the basic probability of (c),
shows the correspondence evaluation result DjThe degree of confidence of (a) is,
indicating the confidence level that the rating level was not set.
In a second aspect, an embodiment of the present invention further provides an insulator icing flashover monitoring apparatus, including:
the acquisition module is used for acquiring the characteristic information of the polarized light signals transmitted in the OPGW optical cable erected among the towers;
the building module is used for building an icing flashover confidence rule base based on the characteristic information, and the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault;
the acquisition module is used for acquiring a reference value corresponding to the characteristic information;
the weight calculation module is used for calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value;
the confidence coefficient calculation module is used for fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault;
and the judging module is used for judging whether the icing flashover fault occurs or not based on the target confidence coefficient.
In a third aspect, an embodiment of the present invention further provides an insulator icing flashover monitoring device, where the device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the insulator icing flashover monitoring method according to the first aspect.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the insulator icing flashover monitoring method according to the first aspect.
In the technical scheme of the embodiment, by collecting the characteristic information of the polarized light signal transmitted in the OPGW optical cable erected between the towers and combining the characteristic information with the characteristic information when the insulator generates icing flashover, the polarization plane of the polarized light signal transmitted in the OPGW optical cable is rotated under the action of Faraday magneto-optical effect, and the existing OPGW optical cable is used as monitoring equipment, and the characteristic information of the polarized light signal is analyzed and determined by using an icing flashover confidence rule base and an evidence reasoning algorithm to determine whether the insulator is subjected to icing flashover, so that the cost and the workload of equipment erection in the insulator icing flashover monitoring process are reduced, the all-weather and full-coverage detection of the icing flashover condition of the insulator along the OPGW optical cable is realized, the operation reliability is improved, and the operation cost is reduced.
Drawings
Fig. 1 is a flowchart of a method for monitoring insulator icing flashover according to an embodiment of the present invention;
fig. 2a is a flowchart of a method for monitoring insulator icing flashover according to an embodiment of the present invention;
fig. 2b is a structural diagram of an insulator icing flashover monitor according to an embodiment of the present invention;
fig. 3 is a structural diagram of an insulator icing flashover monitoring device according to an embodiment of the present invention;
fig. 4 is a structural diagram of an insulator icing flashover monitoring device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of an insulator icing flashover monitoring method according to an embodiment of the present invention, where this embodiment is applicable to a case of implementing icing flashover monitoring on an insulator, and the method may be executed by an insulator icing flashover monitoring device according to an embodiment of the present invention, where the insulator icing flashover monitoring device may be implemented by software and/or hardware, and may be configured in computer equipment, for example, a mobile phone, a tablet computer, and wearable equipment (such as a smart watch and smart glasses), and specifically includes the following steps:
an OPGW Optical cable (Optical Fiber Composite Overhead Ground Wire) is a Composite Overhead Ground Wire integrating Ground Wire and communication functions, and an Optical Fiber is placed in a Ground Wire of an Overhead high-voltage transmission line to form an Optical Fiber communication network on a transmission line.
In the embodiment of the invention, based on the Faraday magneto-optical effect of the optical signal in the OPGW optical fiber under the action of the magnetic field generated by the leakage current flowing through the ground wire when the insulator is subjected to icing flashover, the polarization state of the optical signal in the OPGW optical fiber is changed, and further, whether the insulator is subjected to icing flashover or not can be monitored by detecting the change of the polarization state of the optical signal. Wherein, Faraday magneto-optical effect means: when a linearly polarized light signal propagates in the OPGW optical cable, if a strong magnetic field is applied in a direction parallel to the propagation direction of the optical signal, the vibration direction of the optical signal is deflected, the deflection angle ψ is proportional to the product of the magnetic induction B and the length l of the light passing through the medium, that is, ψ is VBl, and the proportionality coefficient V is called the verdet constant and is related to the medium property and the optical wave frequency. The direction of deflection depends on the media properties and the magnetic field direction. That is, when the optical signal propagating through the OPGW optical cable is subjected to an icing flashover at the insulator, the leakage current flowing through the ground forms an electromagnetic field on the surface of the OPGW optical cable, and the electromagnetic field changes the vibration direction of the optical signal propagating through the OPGW optical cable.
And 110, collecting characteristic information of polarized light signals transmitted in an OPGW optical cable erected among towers.
The towers are supports used for supporting the transmission lines in the overhead transmission lines, and in the embodiment of the invention, the OPGW (optical fiber composite overhead ground wire) cable type ground wires are erected among the towers. And for the polarized light signals transmitted in the OPGW optical cable, the light signals are transmitted in the OPGW optical cable, when the insulator generates ice coating flashover, leakage current flowing through the OPGW optical cable can form spiral current in a stranded conductor on the surface of the OPGW optical cable, and according to the Faraday magneto-optical effect of the polarized light, the spiral current forms a magnetic field parallel to the propagation direction of the light signals in the OPGW optical cable, so that the polarization of the light signals is caused. In an actual implementation process, the monitoring host can be arranged to transmit polarized light to the OPGW optical cable, and the corresponding optical slave is arranged to collect the polarized light, so as to collect and obtain the polarized light signal according to the embodiment of the present invention. In addition, the communication signal transmitted by the original optical communication device may be used as the optical signal required in the embodiment of the present invention, and the transmitted optical signal and the received optical signal are compared, so as to obtain the characteristic information required in the embodiment of the present invention. In addition, the source of the optical signal is not limited herein, as long as the information acquisition of the polarization state of the optical signal passing through the OPGW optical cable can be achieved.
In the embodiment of the present invention, the characteristic signal refers to the type, characteristic parameters, and the like of the polarized optical signal, for example, the amplitude, intensity, phase, frequency, polarization, and the like of the optical signal. Even further include the length of the OPGW cable, attenuation coefficient, chromatic dispersion coefficient mode field diameter, cutoff wavelength, zero dispersion slope, and the like.
And 120, constructing an icing flashover confidence rule base based on the characteristic information.
And the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault.
The confidence rule base (BRB) is developed and evolved from a traditional rule-based expert system, the confidence rule base takes a Belief rule base inference method (Belief rule-base inference method using identifying assessment approach, RiMER) as a core, the Belief rule base is originally proposed by Yang and the like, the knowledge in the aspects of the traditional IF-THEN rule base, a D-S evidence theory, a decision theory, a fuzzy theory and the like is included, and the Belief rule base has the capability of modeling incomplete or inaccurate information. The confidence rule base is composed of a plurality of confidence rules, and each rule contains a precondition attribute and a result attribute which are connected in an IF-THEN form. The premise attributes are various information needed in reasoning, and the result attributes are different conclusions which can be obtained by reasoning of the model. And adding the premise attribute weight and the rule weight in all the rules, and giving a probability value representing the possibility of the occurrence of the event, namely confidence to the result of the IF-THEN rule, so as to obtain a confidence rule. Combining multiple such confidence rules describing the same model results in a confidence rule base.
When an optical signal transmitted in the OPGW optical cable is subjected to icing flashover of the insulator, the magnetic field generated by spiral current formed by leakage current flowing through a stranded conductor layer of the OPGW optical cable is influenced, the optical signal in the OPGW optical cable generates rotation of a polarization plane under the effect of Faraday magneto-optical effect, and whether the icing flashover phenomenon of the insulator occurs or not can be judged based on the change of characteristic information of the optical signal in the OPGW optical cable after passing through the OPGW optical cable. In the embodiment of the invention, an icing flashover confidence rule base is established based on the relation between the characteristic information change of the optical signals before and after passing through the OPGW optical cable and whether icing flashover occurs, so that the relation between the characteristic information and the icing flashover fault is described through rules.
And step 130, acquiring a reference value corresponding to the characteristic information.
In the embodiment of the present invention, the collected characteristic information is not the same when the icing flashover occurs and when the icing flashover does not occur, and the collected characteristic information has a little difference each time the icing flashover occurs, so that a reference value or a reference range needs to be set to limit the range of the characteristic information when the icing flashover occurs, so as to distinguish whether the icing flashover phenomenon occurs. The specific reference value can be drawn up by experts or determined according to forms such as empirical values, and the preset parameter value or parameter range can be corrected according to the actual calculation result in the running process of the ice coating flashover confidence rule base, so that the running result of the ice coating flashover confidence rule base is higher in accuracy.
And step 140, calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value.
The activation weight refers to the magnitude of the activation degree of all rules in the confidence rule base calculated according to the input characteristic information. The activation weight of each rule is mainly determined by the individual matching degree, the rule weight and the precondition attribute weight. The individual matching degree is the conversion of the input form of the input characteristic information relative to a reference value in the ice coating flashover confidence rule, namely the matching degree of the input characteristic information relative to the reference level of the precondition attribute; the rule weight reflects the importance of a single rule relative to other rules; the prerequisite attribute weight reflects the relative importance of the prerequisite attribute in the rule.
And 150, fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain the target confidence of the icing flashover fault.
The evidence reasoning algorithm (Dempster-Shafer, D-S) is an imprecise reasoning theory which is firstly proposed by Dempster in 1967 and is further developed by Shafer of his student in 1976, and the D-S evidence theory belongs to the category of artificial intelligence, is applied to an expert system at first and has the capability of processing uncertain information. As an uncertain reasoning method, the evidence theory has the main characteristics of meeting the weaker condition than the Bayesian probability theory and having the capability of directly expressing 'uncertain' and 'unknown'. In the theory of D-S evidence, the primary cause (hypothesis) of an event is explored for the results (evidence) after the event occurs. Firstly, all hypotheses are judged independently through each evidence, then judgment information of a certain hypothesis under each evidence is organically combined with information of different sources, different modes, different media, different times and different representation methods, particularly different levels, and more reasonable criteria are sought to combine redundant and complementary information of an information system on time and space so as to obtain consistent explanation and comprehensive description of the evaluated problem, and fusion is carried out, so that the probability of each hypothesis under the comprehensive evidence is formed to obtain the main reason of the occurrence of the event.
In the embodiment of the invention, the rules in the icing flashover confidence rule base constructed in the step are fused by an evidence reasoning algorithm according to the activation weight calculated in the step, the characteristic information collected in the step is input into the fused icing flashover confidence rule base to calculate the target confidence coefficient, the target confidence coefficient of the icing flashover fault is finally obtained, and then whether the icing flashover fault occurs is calculated and judged according to the real-time characteristic information.
And step 160, judging whether the icing flashover fault occurs or not based on the target confidence coefficient.
The probability of icing flashover of the OPGW optical cable corresponding to the target confidence coefficient representation can be effectively obtained through judgment of the target confidence coefficient, and then whether icing flashover fault occurs or not is judged, and then the power transmission line is timely checked and cleared.
According to the technical scheme of the embodiment, the characteristic information of the polarized light signal transmitted in the OPGW optical cable erected between towers is collected, and when the insulator is subjected to icing flashover, a magnetic field generated by spiral current flowing through leakage current of a stranded conductor layer of the OPGW optical cable is combined, the polarized light signal transmitted in the OPGW optical cable generates rotation of a polarization plane under the action of Faraday magneto-optical effect, so that the existing OPGW optical cable is used as monitoring equipment, whether the insulator is subjected to icing flashover or not is determined by analyzing the characteristic information of the polarized light signal by using an icing flashover confidence rule base and an evidence reasoning algorithm, the cost and the workload of equipment erection in the process of monitoring the insulator icing flashover are reduced, and all-weather full-coverage detection of the insulation optical cable along the OPGW is realized
Example two
Fig. 2a is a flowchart of an insulator icing flashover monitoring method according to a second embodiment of the present invention, and fig. 2b is a structural diagram of an insulator icing flashover monitor according to a second embodiment of the present invention.
As shown in fig. 2b, an optional insulator icing flashover monitor is further provided in the embodiment of the present invention, and the insulator icing flashover monitor may include a first monitoring host and/or a second monitoring host. In the embodiment of the present invention, the number of OPGW optical cables may be one or more than one.
When only being provided with first monitoring host computer or second monitoring host computer, will monitor the host computer setting in the one end of OPGW optical cable to acquire the optical signal through the other end of OPGW optical cable simultaneously, with the assurance to the acquireing of the optical signal through the both ends of OPGW optical cable, guarantee the integrality and the reliability of the characteristic information of the polarized light signal of transmission in the OPGW optical cable that acquires.
When the first monitoring host and the second monitoring host are arranged, the first monitoring host and the second monitoring host are respectively arranged at two ends of the OPGW optical cable, one monitoring host is set to be in a sending state, and the other monitoring host is set to be in a receiving state. The monitoring host in the sending state sends the polarized light signal to the OPGW optical cable, and the monitoring host in the receiving state receives the polarized light signal sent by the monitoring host in the sending state. When the number of the OPGW optical cables is two or more, the polarized optical signals for monitoring may be transmitted from opposite directions, that is, the first monitoring host and the second monitoring host are set to transmit and receive states at the same time, and the polarized optical signals transmitted in opposite directions may be received while the polarized optical signals for monitoring are transmitted. The adoption is sent the polarized light signal that is used for monitoring in two directions simultaneously and is monitored two or more OPGW optical cables, can realize obtaining the state that whether the insulator of OPGW optical cable takes place the icing flashover from a plurality of directions, makes the monitoring result more reliable, avoids only having single OPGW optical cable or only having the error phenomenon that probably takes place when the polarized light signal that unidirectional transmission is used for monitoring, promotes the reliability and the precision of monitoring.
In a specific embodiment, the first monitoring host and the second monitoring host comprise a laser, a signal modulator, an amplifier, a circulator, a filter, an analyzer, a photoelectric detector and a high-speed acquisition card. The laser, the signal modulator and the amplifier form a polarized light source module; the filter, the analyzer, the photoelectric detector and the high-speed acquisition card form a signal processing module.
The laser devices and the signal modulators of the first monitoring host and the second monitoring host are sequentially connected with the amplifier through optical fibers, the laser devices provide laser light sources, the signal modulators modulate the laser light sources provided by the laser devices into polarized light signals, and the polarized light signals are input into the amplifier for amplification processing, so that the polarized light signals can meet transmission requirements. The polarized light signal amplified by the amplifier is input to the port 1 of the circulator connected with the amplifier, is transmitted into the OPGW optical cable through the port 2 of the circulator and is transmitted to the monitoring host opposite to the OPGW optical cable. The No. 2 port of the circulator sequentially transmits the received polarized light signal sent from the opposite end to a filter, an analyzer and a photoelectric detector which are connected with the No. 3 port of the circulator through an optical fiber through the No. 3 port of the circulator, the filter processes the received polarized light signal to filter useless information, transmits the needed polarized light signal with the polarized information to the analyzer and the photoelectric detector to be converted into an electric signal, and the electric signal is further input to a high-speed acquisition card to be subjected to analog-to-digital conversion, so that the data of a monitoring host can be read and processed conveniently. Illustratively, the filter may filter brillouin scattered light, raman scattered light, and reverse rayleigh scattered light of the contralateral emitted light in the received optical signal.
In addition, the monitoring system also comprises an upper computer, wherein the upper computer is connected with the high-speed acquisition cards of the first monitoring host and the second monitoring host respectively and is used for reading and processing the data of the monitoring hosts.
The insulator icing flashover monitoring method provided by the embodiment of the invention specifically comprises the following steps:
step 201, collecting the transmission time and the receiving time of the polarized light signal transmitted between the first monitoring host and the second monitoring host.
The number of the monitoring hosts can be one or more than one. In this embodiment, a case where two monitoring hosts (a first monitoring host and a second monitoring host) are simultaneously used for monitoring will be described as an example. The first monitoring host and the second monitoring host are respectively arranged at two ends of the OPGW optical cable, and two corresponding OPGW optical cable frames are arranged, or the optical fiber in the single OPGW optical cable is divided into two optical fibers. One OPGW optical cable is a polarized light signal sent by a first monitoring host for monitoring, and a second monitoring host receives the polarized light signal sent by the first monitoring host; the other OPGW optical cable is used for transmitting polarized optical signals for monitoring by the second monitoring host, and the first monitoring host receives the polarized optical signals transmitted by the second monitoring host.
In the embodiment of the present invention, the acquisition of the sending time and the receiving time of the polarized light signals sent and received by the first monitoring host and the second monitoring host may be directly read from the first monitoring host and the second monitoring host, or the acquisition of the oscillograms of the light signals sent and received by the first monitoring host and the second monitoring host may be performed, where a specific acquisition manner is not limited, as long as the acquisition of the sending and receiving times of the polarized light signals by the first monitoring host and the second monitoring host can be performed.
Step 202, collecting an electrical signal converted from the polarized light signal received by the first monitoring host and/or the second monitoring host.
In a specific implementation, in order to facilitate the upper computer to acquire information of the polarized light signal, the polarized light signal needs to be converted into an electrical signal so as to facilitate acquisition and processing. For example, the polarization state of the polarized light signal can be detected by the analyzer, the photoelectric detector and the high-speed acquisition card, the polarized light signal is converted into an electric signal by the photoelectric detector, and finally the converted optical signal is acquired by the upper computer through the high-speed acquisition card.
Step 203, generating a oscillogram and a spectrogram based on the transmission time, the reception time and the electric signal.
The sending time mainly refers to the sending time of polarized light signals sent by the first monitoring host and the second monitoring host and used for monitoring; the receiving time mainly refers to the time when the first monitoring host and the second monitoring host receive the polarized light signals transmitted by the opposite pair. The waveform diagram is used for showing the change of the electric signals converted from the polarized light signals received by the first monitoring host and the second monitoring host along with time. The abscissa can take time as a unit, and the ordinate can take the voltage amplitude of the collected electric signal as a unit for drawing. The spectrogram represents the frequency versus energy of an electrical signal converted from an optical signal during the time period in which the polarized optical signal was transmitted and received intact. The frequency of the electric signal can be used as an abscissa, and the vibration amplitude can be used as an ordinate to draw the vibration amplitude.
Specifically, step 203 may include:
step 2031, based on the sending time, the receiving time and the electrical signal, a waveform is generated with the transmission time as the X-axis and the voltage amplitude of the electrical signal as the Y-axis.
In a specific implementation, since the polarized light signal cannot be detected before the polarized light signal is sent out, a waveform diagram of the voltage amplitude and the receiving time of the electrical signal converted from the received polarized light signal is drawn by taking the sending time of the polarized light signal as an origin, so as to represent the change of the polarized light signal with the change of time after being transmitted through the OPGW optical cable.
Step 2032, a spectrogram with the electrical signal frequency of the electrical signal as the X-axis and the vibration amplitude of the electrical signal as the Y-axis is generated based on the waveform map.
In the embodiment of the present invention, for example, the waveform diagram may be fourier-transformed to obtain a spectrogram of the received polarized light signal.
And 204, acquiring target time and voltage amplitude from the oscillogram, and acquiring the frequency and vibration amplitude of the electric signal from the spectrogram as characteristic information.
In the embodiment of the present invention, the target time refers to the transmission time of the polarized light signal, i.e., the difference obtained by subtracting the transmission time from the reception time. For example, the transmission time may be set as the origin in the waveform mapping, the reception time may be set as the abscissa, and the difference between the abscissa and the origin is the transmission time of the polarized light signal. In the previous step, the polarized light signal transmitted by the OPGW optical cable is collected, and a waveform diagram and a frequency spectrum diagram are drawn according to the collection result. In this step, the voltage amplitude, the electrical signal frequency and the vibration amplitude of the required target time (transmission time) are read from the waveform diagram and the spectrogram, and the obtained voltage amplitude, electrical signal frequency and vibration amplitude of the target time (transmission time) are integrated by using a specific data structure, for example, the voltage amplitude, electrical signal frequency and vibration amplitude of the target time (transmission time) are combined in a vector manner, and are respectively combined into vectors as feature information according to a time rule or a frequency variation rule. That is, the characteristic information includes at least the above-described target time (transmission time) voltage amplitude, electric signal frequency, and vibration amplitude.
For example, the waveform diagram may be sampled according to time division in the waveform diagram, and data of preset intervals are combined into a set to be output, for example, the sampling interval is set to 0.05ms, the preset time interval is 120ms, and then 2400 sampling points and 2400 vectors are included in a single set.
Similarly, the frequency map can be divided according to the frequency, sampling is carried out on the frequency map by setting a sampling interval, the frequency and the corresponding vibration amplitude are combined into a vector, and finally, vector sets are respectively output according to a preset frequency range interval. For example, the sampling interval is set to 5Hz, and the sampling interval range is [0,3000Hz ].
And step 205, constructing an icing flashover confidence rule base based on the characteristic information.
Wherein, the kth rule of the icing flashover confidence rule base is described by the following formula (1):
wherein x is [ x ]1,x2,…,xM]Representing the characteristic information of the input that is,
denotes a set of reference values corresponding to the kth rule, D ═ D1,D2,…,DN]Set of vectors, β, representing the output resultk＝[β1,k,β2,k,…,βN,k]Set of vectors, θ, representing confidence of the structure of the outputkDenotes the activation weight, δ, corresponding to the kth ruleMRepresenting the weight of the mth prerequisite attribute in the rule.
In the embodiment of the invention, the icing flashover confidence rule base consists of a plurality of icing flashover confidence rules, and each rule contains a precondition attribute and a result attribute which are connected in an IF-THEN form as shown in an equation (1). The precondition attributes are various information required for inference, such as characteristic information (target time, voltage amplitude, electric signal frequency, and vibration amplitude) mentioned in the embodiments of the present invention.
Optionally, the feature information may be grouped into a set in the form of a vector and input into the icing flashover confidence rule base for calculation, for example: forming a first vector by the target time and the voltage amplitude extracted from the oscillogram, and forming a first set by the first vector according to the extraction time; and combining the frequencies of the electric signals and the vibration amplitudes extracted from the spectrogram into second vectors, and combining the second vectors into a second set according to different frequency points. The result attribute is different conclusions that the model may deduce, such as the occurrence of icing flashover of the insulator. And adding the premise attribute weight and the rule weight into all the rules, and giving a probability value representing the possibility of occurrence of the event, namely confidence to the result of the IF-THEN rule, so as to obtain a confidence rule. Combining multiple such confidence rules describing the same model results in a confidence rule base.
And step 206, acquiring a preset initial reference value corresponding to the characteristic information.
In the embodiment of the invention, when the ice coating flashover fault occurs, the size of the characteristic information is changed, and when the size of the characteristic information is within a certain interval range, the characteristic information represents that the insulator is in ice coating flashover. In the embodiment of the present invention, an initial reference value is set for an interval range representing the occurrence of the icing flashover, and the initial reference value may be drawn up by an expert.
And step 207, calculating a reference confidence corresponding to the characteristic information based on the characteristic information, the initial reference value and the icing flashover confidence rule base.
The reference confidence coefficient is a reference confidence coefficient obtained by calculation according to the icing flashover confidence rule base on the basis of an initial reference value and characteristic information which are initially set, and the reference confidence coefficient represents a confidence coefficient obtained by calculation by taking the collected characteristic information as input on the basis of a preset initial reference value, so that a reference basis is provided for updating the reference value in the subsequent steps.
And step 208, collecting the actually measured confidence degree of the ice coating flashover actually measured in the preset time.
Based on the collected characteristic information and whether the icing flashover actually occurs at the moment, the confidence coefficient of whether the icing flashover corresponding to the characteristic information occurs can be calculated.
And step 209, updating the initial reference value in a minimum mean square error mode based on the reference confidence coefficient and the measured confidence coefficient, and acting on the target reference value.
And calculating to obtain a reference confidence coefficient based on the reference confidence coefficient and the icing flashover confidence rule base, calculating to obtain an actual measurement confidence coefficient according to the corresponding relation between the actual icing flashover and the characteristic information in the previous step, and judging the error in the calculation process of the icing flashover confidence rule base by comparing the reference confidence coefficient with the actual measurement confidence coefficient so as to update the set initial reference value, so that the reference confidence coefficient obtained on the basis is closer to the actual measurement confidence coefficient, namely the calculation accuracy of the icing flashover confidence rule base is improved. Specifically, the reference confidence Y (Y ═ Y) can be set in a minimum mean square error mannerkK 1,2, …, N) and a measured confidence Z (Z ═ Z {kK ═ 1,2, …, N }) is calculated to obtain an updated reference value minMSE. Specifically, the following formula (2) can be used for calculation:
and step 210, calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value.
Specifically, the activation weight w of the rule of each icing flashover confidence rule base can be calculated by using the following formula (3)k：
Wherein, wk∈[0,1],k＝1,2,…,L；
Indicating the characteristic information of the i-th input in the k-th rule with respect to a reference value
The confidence of (c).
And step 211, fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain the target confidence of the icing flashover fault.
Specifically, the confidence β of the result to be output may be calculated based on the following formula (4)j,kConversion to a probability mass function:
wherein m isj,kRelative to the evaluation result DjA basic probability setting of (1); m isD,kA set of vectors D ═ D [ D ] representing the results output by the icing flashover confidence rule base1,D2,…,DN]A basic probability setting of (1);
further, let mj,I(k)＝mj,1，mD,I(k)＝mD,1And calculating the overlay based on the following formula (5)And (3) outputting a result of the ice flashover confidence rule base:
wherein m isi,j(k)Shows that the first k rules are combined by using a evidence reasoning algorithm and then are compared with DjIs set up to the basic probability of (c),
shows the correspondence evaluation result DjThe degree of confidence of (a) is,
indicating the confidence level that the rating level was not set.
And step 212, judging whether the icing flashover fault occurs or not based on the target confidence coefficient.
The target confidence represents the probability of the icing flashover of the corresponding OPGW, the probability of the icing flashover of the insulator can be effectively obtained through judging the target confidence, and then whether the icing flashover fault occurs or not is judged, so that the power transmission line is timely checked and cleared.
In a specific embodiment, the method further comprises the step of positioning the position of the insulator with the ice covering flashover fault. When two or more monitoring hosts are used for monitoring icing flashover of the OPGW optical cable, the insulators which are subjected to the icing flashover can be positioned by a double-end method by combining the time difference delta t of the multiple monitoring hosts for receiving optical signal data at two ends of the OPGW optical cable, the propagation speed v of optical signals in optical fibers and the total length L of the optical fibers of the section of the line. Specifically, assume that the first monitoring host is the a side and the second monitoring host is the B side. When the icing flashover occurs, the arrival time of the optical signal is based on the receiving time of the optical signal when the amplitude of the signal voltage in the oscillogram reaches the peak value. The total length of the segment of OPGW optical cable, that is, the distance between the two ends A, B is L, the time for the optical signal to reach the a end is t1, the time for the optical signal to reach the B end is t2, and the propagation speed of the optical signal is v, then the distance L1 between the fault point and the two ends A, B can be calculated by using the following formula (7), and the distances L2 are:
EXAMPLE III
Fig. 3 is a structural diagram of an insulator icing flashover monitoring device according to a third embodiment of the present invention. The device includes: the system comprises an acquisition module 301, a construction module 302, an acquisition module 303, a weight calculation module 304, a confidence calculation module 305 and a judgment module 306. Wherein:
the acquisition module 301 is configured to acquire characteristic information of a polarized light signal transmitted in an OPGW optical cable erected between towers;
a building module 302, configured to build an icing flashover confidence rule base based on the feature information, where the icing flashover confidence rule base is used to describe a relationship between the feature information and an icing flashover fault;
an obtaining module 303, configured to obtain a reference value corresponding to the feature information;
a weight calculation module 304, configured to calculate an activation weight of each rule of the ice covering flashover confidence rule base based on the feature information and the reference value;
the confidence coefficient calculation module 305 is used for fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault;
and the judging module 306 is used for judging whether the icing flashover fault occurs or not based on the target confidence coefficient.
Optionally, two sides of the OPGW optical cable are connected with a first monitoring host and a second monitoring host respectively;
the acquisition module 301 includes:
the acquisition unit is used for acquiring the sending time and the receiving time of the polarized light signals transmitted between the first monitoring host and the second monitoring host;
the conversion unit is used for acquiring an electric signal converted from the polarized light signal received by the first monitoring host and/or the second monitoring host;
a generating unit for generating a waveform map and a spectrogram based on the transmission time, the reception time, and the electric signal;
and the sampling unit is used for acquiring target time and voltage amplitude from the oscillogram and acquiring the frequency and vibration amplitude of the electric signal from the spectrogram as characteristic information.
The generation unit includes:
a waveform diagram generation subunit which generates a waveform diagram with transmission time as an X axis and voltage amplitude of the electrical signal as a Y axis based on the transmission time, the reception time and the electrical signal;
and the spectrogram generating unit is used for generating a spectrogram by taking the frequency of the electric signal as an X axis and the vibration amplitude of the electric signal as a Y axis on the basis of the oscillogram.
The building block 302 includes:
a building unit, configured to build an icing flashover confidence rule base based on the feature information, where a kth rule of the icing flashover confidence rule base is described as:
Then{(D1，β1，k)，(D2,β2,k)，…，(DN，βN，k)}
wherein the content of the first and second substances,
denotes a set of reference values corresponding to the kth rule, D ═ D1,D2,…,DN]Set of vectors, β, representing the output resultk＝[β1,k,β2,k,…,βN,k]Set of vectors, θ, representing confidence of the structure of the outputkIs shown asActivation weights, δ, for k rulesMRepresenting the weight of the mth prerequisite attribute in the rule.
The obtaining module 303 includes:
the first acquisition unit is used for acquiring a preset initial reference value corresponding to the characteristic information;
a first calculation unit, configured to calculate a reference confidence corresponding to the feature information based on the feature information, the initial reference value, and the icing flashover confidence rule base;
the second acquisition unit is used for acquiring the actually measured confidence coefficient of the ice coating flashover actually measured in the preset time;
updating the initial reference value in a least mean square manner based on the reference confidence and the measured confidence, acting as a target reference value.
The weight calculation module 304 includes:
a weight calculation unit for calculating an activation weight w of each rule of the ice covering flashover confidence rule base by using the following formulak：
Wherein, wk∈[0,1],k＝1,2,…,L；
Representing the characteristic information of the i-th input in the k-th rule with respect to a reference value
The confidence of (c).
The confidence calculation module 305 includes:
a confidence calculating unit for calculating a confidence β of a result to be output based on the following formulaj,kConversion to a probability mass function:
wherein m isj,kRelative to the evaluation result DjA basic probability setting of (1); m isD,kA set of vectors D ═ D [ D ] representing the results output by the icing flashover confidence rule base1,D2,…,DN]A basic probability setting of (1);
let mj,I(k)＝mj,1，mD,I(k)＝mD,1And calculating the output result of the icing flashover confidence rule base based on the following formula:
wherein m isi,j(k)Shows that the first k rules are combined by using a evidence reasoning algorithm and then are compared with DjIs set up to the basic probability of (c),
shows the correspondence evaluation result DjThe degree of confidence of (a) is,
indicating the confidence level that the rating level was not set.
The insulator icing flashover monitoring device provided by the embodiment of the invention can execute the insulator icing flashover monitoring method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of an insulator icing flashover monitoring device according to a fourth embodiment of the present invention. As shown in fig. 4, the electronic apparatus includes a processor 40, a memory 41, a communication module 42, an input device 43, and an output device 44; the number of the processors 40 in the electronic device may be one or more, and one processor 40 is taken as an example in fig. 4; the processor 40, the memory 41, the communication module 42, the input device 43 and the output device 44 in the electronic device may be connected by a bus or other means, and the bus connection is exemplified in fig. 4.
The memory 41 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as modules corresponding to an insulator icing flashover monitoring method in the present embodiment (for example, an acquisition module 301, a construction module 302, an acquisition module 303, a weight calculation module 304, a confidence calculation module 305, and a judgment module 306 in an insulator icing flashover monitoring apparatus). The processor 40 executes various functional applications and data processing of the electronic device by running software programs, instructions and modules stored in the memory 41, so as to implement the above-mentioned insulator icing flashover monitoring method.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
And the communication module 42 is used for establishing connection with the display screen and realizing data interaction with the display screen. The input device 43 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic apparatus.
The electronic device provided by the embodiment of the invention can execute the insulator icing flashover monitoring method provided by any embodiment of the invention, and has corresponding functions and beneficial effects.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a method for monitoring insulator icing flashover, where the method includes:
collecting characteristic information of polarized light signals transmitted in an OPGW optical cable erected among towers;
an icing flashover confidence rule base is established based on the characteristic information, and the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault;
acquiring a reference value corresponding to the characteristic information;
calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value;
fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault;
and judging whether the icing flashover fault occurs or not based on the target confidence.
Of course, the storage medium provided by the embodiments of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in an insulator icing flashover monitoring method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-OnlY MemorY (ROM), a Random Access MemorY (RAM), a FLASH MemorY (FLASH), a hard disk or an optical disk of a computer, and the like, and includes instructions for enabling a computer electronic device (which may be a personal computer, a server, or a network electronic device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the insulator icing flashover monitoring device, each included unit and module is only divided according to functional logic, but is not limited to the above division, as long as the corresponding function can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An insulator icing flashover monitoring method is characterized by comprising the following steps:
collecting characteristic information of polarized light signals transmitted in an OPGW optical cable erected among towers;
establishing an icing flashover confidence rule base based on the characteristic information, wherein the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault;
acquiring a reference value corresponding to the characteristic information;
calculating an activation weight of a rule of each icing flashover confidence rule base based on the characteristic information and the reference value;
fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault;
and judging whether the icing flashover fault occurs or not based on the target confidence.
2. The insulator icing flashover monitoring method according to claim 1, wherein a first monitoring host and a second monitoring host are respectively connected to two sides of an OPGW optical cable;
gather the characteristic information of the polarized light signal of transmission in the OPGW optical cable of erectting between the shaft tower, include:
collecting the sending time and the receiving time of the polarized light signal transmitted between the first monitoring host and the second monitoring host;
collecting an electric signal converted from the polarized light signal received by the first monitoring host and/or the second monitoring host;
generating a waveform map and a spectrogram based on the transmission time, the reception time, and the electrical signal;
and acquiring target time and voltage amplitude from the oscillogram, and acquiring the frequency and vibration amplitude of the electric signal from the spectrogram as characteristic information.
3. The insulator icing flashover monitoring method according to claim 2, wherein the generating a oscillogram and a spectrogram based on the sending time, the receiving time and the electric signal comprises:
generating a oscillogram by taking the transmission time as an X axis and the voltage amplitude of the electric signal as a Y axis based on the sending time, the receiving time and the electric signal;
and generating a spectrogram with the frequency of the electric signal as an X axis and the vibration amplitude of the electric signal as a Y axis based on the oscillogram.
4. The insulator icing flashover monitoring method according to claim 1, wherein the building of the icing flashover confidence rule base based on the characteristic information comprises:
an icing flashover confidence rule base is established based on the characteristic information, and the kth rule of the icing flashover confidence rule base is described as follows:
Rk:Ifx1is
Λx2is
Λ…ΛxMis
Then{(D1，β1，k),(D2,β2,k),…,(DN,βN,k)}
With a rule weight θk and attribute weight
wherein the content of the first and second substances,
denotes a set of reference values corresponding to the kth rule, D ═ D1,D2,…,DN]Set of vectors, β, representing the output resultk＝[β1,k，β2，k，…，βN,k]Set of vectors, θ, representing confidence of the structure of the outputkDenotes the activation weight, δ, corresponding to the kth ruleMRepresenting the weight of the mth prerequisite attribute in the rule.
5. The insulator icing flashover monitoring method according to claim 1, wherein the obtaining of the reference value corresponding to the characteristic information comprises:
acquiring a preset initial reference value corresponding to the characteristic information;
calculating a reference confidence corresponding to the characteristic information based on the characteristic information, the initial reference value and the icing flashover confidence rule base;
collecting actually measured confidence coefficient of icing flashover actually measured in preset time;
updating the initial reference value in a least mean square manner based on the reference confidence and the measured confidence, acting as a target reference value.
6. The insulator icing flashover monitoring method according to claim 1, wherein the calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value comprises:
calculating the activation weight w of the rule of each ice covering flashover confidence rule base by using the following formulak：
Wherein, wk∈[0，1],k＝1,2,…,L；
Representing the characteristic information of the i-th input in the k-th rule with respect to a reference value
The confidence of (c).
7. The insulator icing flashover monitoring method according to claim 1, wherein the fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence level of the occurrence of the icing flashover fault comprises:
calculating a confidence β of a result to be output based on the following formulaj,kConversion to a probability mass function:
wherein m isj,kRelative to the evaluation result DjA basic probability setting of (1); m isD,kA set of vectors D ═ D [ D ] representing the results output by the icing flashover confidence rule base1,D2,…,DN]A basic probability setting of (1);
let mj,I(k)＝mj,1，mD,I(k)＝mD,1And calculating the output result of the icing flashover confidence rule base based on the following formula:
wherein m isi,j(k)Shows that the first k rules are combined by using a evidence reasoning algorithm and then are compared with DjIs set up to the basic probability of (c),
shows the correspondence evaluation result DjThe degree of confidence of (a) is,
indicating the confidence level that the rating level was not set.
8. The utility model provides an insulator icing flashover monitoring devices which characterized in that includes:
the acquisition module is used for acquiring the characteristic information of the polarized light signals transmitted in the OPGW optical cable erected among the towers;
the building module is used for building an icing flashover confidence rule base based on the characteristic information, and the icing flashover confidence rule base is used for describing the relation between the characteristic information and the icing flashover fault;
the acquisition module is used for acquiring a reference value corresponding to the characteristic information;
the weight calculation module is used for calculating the activation weight of the rule of each icing flashover confidence rule base based on the characteristic information and the reference value;
the confidence coefficient calculation module is used for fusing the rules of the icing flashover confidence rule base through an evidence reasoning algorithm based on the activation weight to obtain a target confidence coefficient of the icing flashover fault;
and the judging module is used for judging whether the icing flashover fault occurs or not based on the target confidence coefficient.
9. An insulator icing flashover monitoring device, the device comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the insulator icing flashover monitoring method of any of claims 1-7.
10. A storage medium containing computer executable instructions for performing the insulator icing flashover monitoring method according to any one of claims 1-7 when executed by a computer processor.
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