CN111366884B - Active electronic current transformer and laser life evaluation method and device thereof - Google Patents

Active electronic current transformer and laser life evaluation method and device thereof Download PDF

Info

Publication number
CN111366884B
CN111366884B CN201811600200.5A CN201811600200A CN111366884B CN 111366884 B CN111366884 B CN 111366884B CN 201811600200 A CN201811600200 A CN 201811600200A CN 111366884 B CN111366884 B CN 111366884B
Authority
CN
China
Prior art keywords
state
laser
alarm parameter
calculating
current transformer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811600200.5A
Other languages
Chinese (zh)
Other versions
CN111366884A (en
Inventor
李毅
王传川
曾林翠
白世军
石楠
马亮
贾乐
张振兴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Hubei Electric Power Co Ltd
China XD Electric Co Ltd
Xian XD High Voltage Apparatus Co Ltd
Original Assignee
State Grid Hubei Electric Power Co Ltd
China XD Electric Co Ltd
Xian XD High Voltage Apparatus Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Hubei Electric Power Co Ltd, China XD Electric Co Ltd, Xian XD High Voltage Apparatus Co Ltd filed Critical State Grid Hubei Electric Power Co Ltd
Priority to CN201811600200.5A priority Critical patent/CN111366884B/en
Publication of CN111366884A publication Critical patent/CN111366884A/en
Application granted granted Critical
Publication of CN111366884B publication Critical patent/CN111366884B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00Testing or calibrating of apparatus covered by the other groups of this subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M11/00Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01FMAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F27/00Details of transformers or inductances, in general
    • H01F27/40Structural association with built-in electric component, e.g. fuse
    • H01F27/402Association of measuring or protective means
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01FMAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F38/00Adaptations of transformers or inductances for specific applications or functions
    • H01F38/20Instruments transformers
    • H01F38/22Instruments transformers for single phase ac
    • H01F38/28Current transformers
    • H01F38/30Constructions
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01FMAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F38/00Adaptations of transformers or inductances for specific applications or functions
    • H01F38/20Instruments transformers
    • H01F38/22Instruments transformers for single phase ac
    • H01F38/28Current transformers
    • H01F38/32Circuit arrangements
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Lasers (AREA)
  • Semiconductor Lasers (AREA)

Abstract

The application provides a laser life assessment method in an active electronic current transformer, which comprises the following steps: acquiring the actual output optical power of a laser in the lasers in the active electronic current transformer; acquiring a driving current value of a laser and a temperature value of the laser; carrying out blurring processing on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function to obtain blurring data corresponding to the actual output light power, the driving current value and the temperature value; carrying out normalization processing on the fuzzy data, and taking a processing result as the probability of each proposition in the evidence body; and fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure stopping state S so as to prompt a user to replace the laser in time.

Description

Active electronic current transformer and laser life evaluation method and device thereof
Technical Field
The invention relates to the technical field of electronic circuits, in particular to an active electronic current transformer and a laser life assessment method and device thereof.
Background
The high-voltage transformer is an important device for ensuring the safe and reliable operation of the power system, and in recent years, as the electronic current transformer has the advantages of small volume, light weight, no magnetic saturation, no secondary open circuit, convenient combined installation with primary high-voltage switch equipment, capability of effectively improving the integration level of the equipment, space utilization rate improvement, convenient installation and transportation and the like, the electronic current transformer is commonly used in new generation substations, and the electronic current transformer is integrated in new equipment such as an integrated isolation breaker, an intelligent GIS and the like. The electronic current transformer comprises an active electronic current transformer and a passive electronic current transformer.
The active electronic current transformer is based on the traditional electromagnetic induction principle, and the primary part of the active electronic current transformer takes a low-power iron core coil (Low Power Current Transformer, LPCT) and a Rogowski coil as sensing elements. In practical applications, two coils are generally combined, wherein LPCT is used for measurement and the Rogowski coil is used for protection. The secondary part adopts a collector and a merging unit. The normal operation of the collector needs to be guaranteed by a power supply, a power supply mode of seamless switching between laser energy supply and coil energy taking is generally adopted, the coil energy taking needs primary bus current to reach a threshold current value, the primary bus current is powered by laser when being lower than the threshold current value, the service life of the laser in the merging unit is limited, and the laser cannot work continuously for a long time, most of phenomena of the occurrence of problems of the electronic current transformer are caused by the damage of the laser from the engineering practical point of view, however, when the electronic current transformer is detected to output an abnormal signal, a worker cannot confirm whether the abnormal signal is caused by primary bus current fault or laser damage, and therefore, a scheme capable of prompting a user to replace the laser in time is urgently needed.
Disclosure of Invention
In view of the above, the embodiment of the invention provides an active electronic current transformer and a method and a device for evaluating the service life of a laser thereof, so as to prompt a user to replace the laser in time.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
a laser life assessment method in an active electronic current transformer comprises the following steps:
acquiring the actual output optical power of a laser in the lasers in the active electronic current transformer;
acquiring a driving current value of a laser and a temperature value of the laser;
carrying out blurring processing on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function to obtain blurring data corresponding to the actual output light power, the driving current value and the temperature value;
carrying out normalization processing on the fuzzy data, and taking a processing result as the probability of each proposition in the evidence body;
and fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure disabling state S.
Preferably, in the method for evaluating the service life of a laser in an active electronic current transformer, the blurring processing is performed on the actual output optical power, the driving current value and the temperature value by using a preset trapezoidal distribution function, including:
Substituting the actual output light power, the driving current value and the temperature value into a formula in sequence
Figure GDA0004134034420000021
Calculated to obtainThe set m corresponding to the actual output light power 1 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to drive current value 2 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to temperature value 3 (f 1 (X),f 2 (X),f 3 (X)), wherein the values of a, b, c, d are preset values of different magnitudes, and a < b < c < d.
Preferably, in the method for evaluating the life of a laser in an active electronic current transformer, the DS-based evidence synthesis method fuses probabilities of the propositions to obtain and output an alarm parameter a for representing a life state of the laser, a normal running state R, and an invalid disabling state S, and the method includes:
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 2 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000031
And +.>
Figure GDA0004134034420000032
Calculating a first alarm parameter A1, wherein the elements in the Bi and Ci finger set, i=1, 2,3, are according to +.>
Figure GDA0004134034420000033
Calculating to obtain a first normal running state R1 according to the formula +.>
Figure GDA0004134034420000034
Calculating to obtain a first invalid stop state S1;
the m after normalization treatment 2 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000035
And +.>
Figure GDA0004134034420000036
Calculating a second alarm parameter A2, wherein the alarm parameter A2 is defined according to +.>
Figure GDA0004134034420000037
Calculating to obtain a second normal running state R2 according to the formula
Figure GDA0004134034420000038
Calculating to obtain a second invalid stop state S2;
The m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000039
And +.>
Figure GDA00041340344200000310
Calculating a third alarm parameter A3, wherein the alarm parameter A is based on +.>
Figure GDA00041340344200000311
Calculating to obtain a third normal running state R3 according to the formula
Figure GDA00041340344200000312
Calculating to obtain a third invalid stop state S3;
and outputting the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3.
Preferably, in the method for evaluating the life of a laser in an active electronic current transformer, after calculating the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure disabling state S1, the second failure disabling state S2, and the third failure disabling state S3, the method further includes:
average value processing is carried out on the first alarm parameter A1, the second alarm parameter A2 and the third alarm parameter A3, whether the average alarm parameter obtained by the average value processing is in a preset alarm range is judged, and if so, first prompt information is output;
Average value processing is carried out on the first normal running state R1, the second normal running state R2 and the third normal running state R3, whether average alarm parameters obtained by the average value processing are in a preset normal running state range is judged, and if yes, second prompt information is output;
and carrying out average value processing on the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3, judging whether the average alarm parameter obtained by the average value processing is in a preset failure stopping state range, and outputting third prompt information if the average alarm parameter is in the preset failure stopping state range.
Preferably, in the method for evaluating the service life of a laser in an active electronic current transformer, before obtaining the actual output optical power of the laser in the active electronic current transformer, the method further includes:
judging whether a primary current value acquired by a tested primary bus of a low-power iron core coil of the active electronic current transformer is larger than a preset current value or not;
judging whether an energy taking voltage value acquired by an energy taking coil of the active electronic current transformer through a tested primary bus is larger than a preset voltage value or not;
and when at least any one of the two judging results is negative, continuing to execute the subsequent flow.
A laser life assessment device in an active electronic current transformer, comprising:
the acquisition unit is used for acquiring the actual output optical power of the laser in the lasers in the active electronic current transformer; acquiring a driving current value of a laser and a temperature value of the laser;
the blurring processing unit is used for carrying out blurring processing on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function to obtain blurring data corresponding to the actual output light power, the driving current value and the temperature value;
the DS evidence processing unit is used for carrying out normalization processing on the fuzzy data, and taking a processing result as the probability of each proposition in the evidence body; and fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure disabling state S.
Preferably, in the device for evaluating the life of a laser in an active electronic current transformer, the blurring processing unit is specifically configured to:
substituting the actual output light power, the driving current value and the temperature value into the formula in sequence by adopting the formula
Figure GDA0004134034420000051
Calculating to obtain a set m corresponding to the actual output light power 1 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to drive current value 2 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to temperature value 3 (f 1 (X),f 2 (X),f 3 (X)), wherein the values of a, b, c, d are preset values of different magnitudes, and a < b < c < d.
Preferably, in the device for evaluating life of a laser in an active electronic current transformer, the DS evidence processing unit is specifically configured to include:
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 2 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000052
And +.>
Figure GDA0004134034420000053
Calculating a first alarm parameter A1, wherein the elements in the Bi and Ci finger set, i=1, 2,3, are according to +.>
Figure GDA0004134034420000061
Calculating to obtain a first normal running state R1 according to the formula +.>
Figure GDA0004134034420000062
Calculating to obtain a first invalid stop state S1;
the m after normalization treatment 2 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000063
And +.>
Figure GDA0004134034420000064
Calculating a second alarm parameter A2, wherein the alarm parameter A2 is defined according to +.>
Figure GDA0004134034420000065
Calculating to obtain a second normal running state R2 according to the formula
Figure GDA0004134034420000066
Calculating to obtain a second invalid stop state S2;
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000067
And +.>
Figure GDA0004134034420000068
Calculating a third alarm parameter A3, wherein the alarm parameter A is based on +.>
Figure GDA0004134034420000069
Calculating to obtain a third normal running state R3 according to the formula
Figure GDA00041340344200000610
Calculating to obtain a third invalid stop state S3;
and outputting the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3.
Preferably, in the device for evaluating the life of a laser in an active electronic current transformer, the device further includes:
a comparison unit for: average value processing is carried out on the first alarm parameter A1, the second alarm parameter A2 and the third alarm parameter A3, whether the average alarm parameter obtained by the average value processing is in a preset alarm range is judged, and if so, first prompt information is output; average value processing is carried out on the first normal running state R1, the second normal running state R2 and the third normal running state R3, whether average alarm parameters obtained by the average value processing are in a preset normal running state range is judged, and if yes, second prompt information is output; and carrying out average value processing on the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3, judging whether the average alarm parameter obtained by the average value processing is in a preset failure stopping state range, and outputting third prompt information if the average alarm parameter is in the preset failure stopping state range.
Preferably, in the device for evaluating the life of a laser in an active electronic current transformer, the device further includes:
the starting unit is used for judging whether the primary current value acquired by the low-power iron core coil of the active electronic current transformer through the tested primary bus is larger than a preset current value or not; judging whether an energy taking voltage value acquired by an energy taking coil of the active electronic current transformer through a tested primary bus is larger than a preset voltage value or not; and outputting trigger signals to the acquisition unit, the blurring processing unit and the DS evidence processing unit to start the acquisition unit, the blurring processing unit and the DS evidence processing unit when at least any one of the two judging results is negative.
An active electronic current transformer comprising:
the laser life assessment device in an active electronic current transformer according to any one of the above.
Preferably, the active electronic current transformer includes:
the low-power iron core coil, the rogowski coil and the first energy taking coil are used for collecting data of the primary bus;
the device comprises a collector, wherein a first analog-to-digital converter, a second energy-taking coil, a first processor, an electro-optic converter and a photocell are arranged in the collector; the second energy-taking coil is used for converting energy acquired by the first energy-taking coil through the primary bus into electric energy for devices in the collector, the first analog-to-digital converter is used for generating and outputting digital signals matched with the energy acquired by the low-power iron core coil, the rogowski coil and the second energy-taking coil, and the first processor is used for processing the digital signals output by the first analog-to-digital converter;
the combining unit is internally provided with a laser, a second processor, an optical-electrical converter, a second analog-digital converter and a network port; the second processor is used for controlling the working state of the laser, acquiring the operation parameters of the laser through the second analog-to-digital converter, performing data interaction with the first processor through the electric-to-optical converter and the optical-to-electric converter, and outputting signals through the network port; the laser life assessment device in the active electronic current transformer is integrated in the second processor.
Based on the technical scheme, the scheme provided by the embodiment of the invention carries out fuzzification processing on the actual output light power, the driving current value of the obtained laser and the temperature value of the laser by collecting the actual output light power of the laser, the driving current value of the obtained laser and the temperature value of the laser, carries out normalization processing on the fuzzified data after the fuzzification processing, then utilizes DS evidence theory information fusion to obtain the alarm parameter A of the laser, the normal operation state R and the failure disabling state S, and a user can obtain the service life of the laser through the value analysis of the alarm parameter A, the normal operation state R and the failure disabling state S, so that the laser to be disabled can be found in time, the accuracy of measured data is ensured, and the misoperation of a protection device caused by abnormal sampling is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for evaluating the life of a laser in an active electronic current transformer according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a laser lifetime assessment device in an active electronic current transformer according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an active electronic current transformer according to an embodiment of the present disclosure.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the method and the device for evaluating the service life of the laser in the active electronic current transformer disclosed by the embodiment of the application, the basic principle is based on the D-S evidence theory, which is an imprecise reasoning theory further developed by a student Shafer in 1976 in 1967, namely a Dempster/Shafer evidence theory (D-S evidence theory), which belongs to the category of artificial intelligence, is firstly applied to expert systems, and has the capability of processing uncertain information. As an uncertain reasoning method, the evidence theory is mainly characterized in that: satisfying a condition weaker than bayesian probability theory; with the ability to directly express "indeterminate" and "unknown".
The method for evaluating the service life of the laser in the active electronic current transformer disclosed in the embodiment of the application is specifically described below.
Fig. 1 is a schematic flow chart of a method for evaluating the service life of a laser in an active electronic current transformer according to an embodiment of the present application, and referring to fig. 1, the method may include:
step S101: acquiring the actual output optical power of a laser in the lasers in the active electronic current transformer;
when a laser is adopted to provide electric energy for the active electronic current transformer, the actual output power of the laser can be obtained through calculation in a mode of collecting the output power of the photocell, the conversion efficiency of the photocell and the optical fiber loss of a laser function;
step S102: acquiring a driving current value of a laser and a temperature value of the laser;
In this step, the driving current value of the laser may be collected by the collecting circuit, and the temperature value of the laser may be collected by the temperature sensor.
Step S103: carrying out blurring processing on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function to obtain blurring data corresponding to the actual output light power, the driving current value and the temperature value;
specifically, in the technical solution disclosed in the embodiment of the present application, the blurring process is performed on the actual output optical power, the driving current value and the temperature value by using a preset trapezoidal distribution function, which means that:
substituting the actual output light power, the driving current value and the temperature value into the formulas (I), (II) and (III) in sequence, namely substituting the actual output light power into the formulas (I), (II) and (III) to obtain a group of results, and marking the group of results as a set m 1 (f 1 (X),f 2 (X),f 3 (X)) and substituting the driving current value into the formulas (one), (two) and (three) to obtain a group of results, and recording the group of results as a set m 2 (f 1 (X),f 2 (X),f 3 (X)), substituting the temperature value into the formulas (I), (II) and (III) to obtain a group of results, and marking the group of results as a set m 3 (f 1 (X),f 2 (X),f 3 (X))。
Figure GDA0004134034420000101
Figure GDA0004134034420000102
/>
Figure GDA0004134034420000103
The values of a, b, c and d are preset values with different sizes, and a < b < c < d. The specific a, b, c, d is obtained according to expert opinion and actual experience, and is a preset value, and the actual output light power, the driving current value and the temperature value are substituted into the formulas to obtain fuzzy data { m }, respectively 1 、m 2 、m 3 };
Step S104: carrying out normalization processing on the fuzzy data, and taking a processing result as the probability of each proposition in the evidence body;
in this step, the blurred data is entered intoCarrying out line normalization processing to be used as the probability of each proposition in the D-S evidence theory; for example, assuming that the temperature value is 40 ℃, the set fuzzy data calculated by the first, second and third formulas is {0.2,1.6,0.2}, the normalization is performed on the set fuzzy data, and the calculated normalized m 1 The first element in 0.1,0.8,0.1 is used as the probability value of the temperature corresponding overhaul alarm state A, the second element is used as the probability value of the normal running state R, and the third element is used as the probability value of the failure stopping state S.
Step S105: fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain an alarm parameter A, a normal running state R and a failure disabling state S;
specifically, in the technical solution disclosed in the embodiment of the present application, the probability of each proposition is fused based on the DS evidence synthesis method, so as to obtain and output an alarm parameter a for characterizing a life state of the laser, a normal running state R, and a failure disabling state S may specifically include:
New m obtained after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 2 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000111
And +.>
Figure GDA0004134034420000112
Calculating to obtain a first alarm parameter A1 according to +.>
Figure GDA0004134034420000113
Calculating to obtain a first normal running state R1 according to the formula
Figure GDA0004134034420000114
Calculating to obtain a first invalid stop state S1;
wherein Bi, ci refer to elements in the set, i=1, 2,3, e.g. B1, C1 refer to the first element in the set, B2, C2 refer to the setB3, C3 refers to the third element in the set, and Bi n Ci=Φ refers to m 1 (Bi) and m 2 The intersection of (Ci) is null, and there are no elements in the same position, e.g., m 1 (Bi) is m 1 (B1) When the m is 2 (Ci) is m 2 (C2,C3),m 1 (Bi) is m 1 (B2) When the m is 2 (Ci) is m 2 (C1,C3),m 1 (Bi) is m 1 (B3) When the m is 2 (Ci) is m 2 (C1,C1)。
The m after normalization treatment 2 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000115
And +.>
Figure GDA0004134034420000116
Calculating a second alarm parameter A2, wherein the alarm parameter A2 is defined according to +.>
Figure GDA0004134034420000117
Calculating to obtain a second normal running state R2 according to the formula +.>
Figure GDA0004134034420000118
Calculating to obtain a second invalid stop state S2;
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000119
And +.>
Figure GDA00041340344200001110
Calculating a third alarm parameter A3, wherein the alarm parameter A is based on +.>
Figure GDA00041340344200001111
Calculating to obtain a third normal running state R3 according to the formula
Figure GDA0004134034420000121
Calculating to obtain a third invalid stop state S3;
And outputting the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3.
For example, when m after normalization processing 1 Is {0.1,0.8,0.1}, m 2 In the case of {0.2,0.5,0.3}, will be m 1 、m 2 Substitution formula
Figure GDA0004134034420000122
After that, the processing unit is configured to,
K=1-(0.1*0.5+0.1*0.3+0.8*0.2+0.8*0.3+0.1*0.2+0.1*0.5)
K=0.45
substituting K into
Figure GDA0004134034420000123
A1=0.1×0.2/0.45=0.044 after that.
Similarly, R1 is calculated to be 0.89; s1 is 0.066.
According to the scheme, the invention discloses a life assessment system and a life assessment method for an active electronic current transformer laser, wherein the actual output light power of the laser, the driving current value of the laser and the temperature value of the laser are acquired, the actual output light power, the driving current value of the laser and the temperature value of the laser are subjected to blurring processing, fuzzy data after blurring processing are subjected to normalization processing, DS evidence theory information fusion is utilized to obtain an alarm parameter A, a normal running state R and a failure disabling state S of the laser, and a user can obtain the life of the laser through value analysis of the alarm parameter A, the normal running state R and the failure disabling state S, so that the laser to be disabled can be found in time, the accuracy of measured data is ensured, and misoperation of a protection device caused by abnormal sampling is avoided.
Further, in the technical solution disclosed in the foregoing embodiment of the present application, each data is calculated to obtain three results, which are respectively a first alarm parameter A1, a second alarm parameter A2, a third alarm parameter A3, a first normal running state R1, a second normal running state R2, a third normal running state R3, a first failure disabling state S1, a second failure disabling state S2, and a third failure disabling state S3, and after the data are calculated, the data may be presented to a user in a report form, and of course, for convenience of analysis of the user, after the data are calculated, the method further includes:
average value processing is carried out on the first alarm parameter A1, the second alarm parameter A2 and the third alarm parameter A3, whether the average alarm parameter obtained by the average value processing is in a preset alarm range is judged, if so, the fact that the laser can be replaced is indicated, and first prompt information is output;
average value processing is carried out on the first normal running state R1, the second normal running state R2 and the third normal running state R3, whether average alarm parameters obtained by the average value processing are in a preset normal running state range is judged, if so, the condition that the working condition of the laser is normal is indicated, and second prompt information is output;
And carrying out average value processing on the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3, judging whether the average alarm parameters obtained by the average value processing are in a preset failure stopping state range, if so, indicating that the laser needs to be replaced immediately, and outputting third prompt information.
The range intervals of the preset alarm range, the preset normal running state range and the preset failure disabling state range can be preset according to experience values, and when the processing result falls into the corresponding interval, corresponding prompt information is output.
The method for evaluating the service life of the laser in the active electronic current transformer can only be used under the condition that the laser works, and when the laser does not work, the service life of the laser cannot be evaluated, so that before the actual output light power of the laser in the active electronic current transformer is obtained, the method also needs to judge whether the active electronic current transformer is powered by the laser or not, and specifically, the method further comprises the following steps:
judging whether a primary current value acquired by a tested primary bus of a low-power iron core coil of the active electronic current transformer is larger than a preset current value or not;
Judging whether an energy taking voltage value acquired by an energy taking coil of the active electronic current transformer through a tested primary bus is larger than a preset voltage value or not;
when the primary current value is larger than a preset current value and the energy taking voltage value is larger than a preset voltage value, the active electronic current transformer is powered by an energy taking coil, otherwise (when at least any one of the two judging results is negative), the active electronic current transformer is powered by a laser, and the subsequent flow is continuously executed;
in the technical scheme disclosed in another embodiment of the present application, in order to ensure validity of the collected data, before determining whether the energy-taking voltage value collected by the measured primary bus of the energy-taking coil of the active electronic current transformer is greater than a preset voltage value, the following actions are further required to be performed:
and determining the effectiveness of the measured data by judging the data transmission optical power between the collector and the merging unit in the active electronic current transformer. If the optical power is lower than the optical power set value, the data sent by the collector is considered invalid, otherwise, the data is valid, and the subsequent steps can be carried out.
Further, according to the method provided by the embodiment of the application, whether the active electronic current transformer is powered by energy or laser can be determined by judging the primary current value acquired through the coil and the energy-taking voltage of the energy-taking coil. For example, when the primary current value exceeds the primary current set value and the energy taking voltage is higher than the energy taking voltage set value, the energy taking power is supplied at the moment, and the laser is turned off at the moment; when the primary current value is lower than the primary current set value and the energy taking voltage is lower than the energy taking voltage set value, supplying power to the laser at the moment; and when the primary current value exceeds the primary current set value and the energy taking voltage is lower than the energy taking voltage set value, alarming the energy taking loop to be faulty.
Corresponding to the above method, the present application further discloses a device for evaluating the service life of a laser in an active electronic current transformer, and the specific workflow of each unit in the method and the device can be mutually referred to, referring to fig. 2, the device may include:
an acquisition unit 100, corresponding to the above-mentioned methods S101-S102, for acquiring an actual output optical power of a laser of the lasers in the active electronic current transformer; acquiring a driving current value of a laser and a temperature value of the laser;
A blurring processing unit 200, corresponding to the method S103, configured to perform blurring processing on the actual output optical power, the driving current value, and the temperature value by using a preset trapezoidal distribution function, so as to obtain blurring data corresponding to the actual output optical power, the driving current value, and the temperature value;
the DS evidence processing unit 300, corresponding to the above-mentioned methods S104-S105, is configured to perform normalization processing on the fuzzy data, and take the processing result as the probability of each proposition in the evidence body; and fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure disabling state S.
Corresponding to the method, the blurring processing unit is specifically configured to:
substituting the actual output light power, the driving current value and the temperature value into the formula in sequence by adopting the formula
Figure GDA0004134034420000151
Calculating to obtain a set m corresponding to the actual output light power 1 (f 1 (X),f 2 (X),f 3 (X))、Set m corresponding to driving current value 2 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to temperature value 3 (f 1 (X),f 2 (X),f 3 (X)), wherein the values of a, b, c, d are preset values of different magnitudes, and a < b < c < d.
Corresponding to the method, the DS evidence processing unit is specifically configured to include:
The m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 2 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000152
And +.>
Figure GDA0004134034420000153
Calculating a first alarm parameter A1, wherein the elements in the Bi and Ci finger set, i=1, 2,3, are according to +.>
Figure GDA0004134034420000154
Calculating to obtain a first normal running state R1 according to the formula +.>
Figure GDA0004134034420000155
Calculating to obtain a first invalid stop state S1;
the m after normalization treatment 2 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA0004134034420000156
And +.>
Figure GDA0004134034420000157
Calculating a second alarm parameter A2, wherein the alarm parameter A2 is defined according to +.>
Figure GDA0004134034420000158
Calculated to obtainA second normal operating state R2 according to the formula
Figure GDA0004134034420000159
Calculating to obtain a second invalid stop state S2;
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure GDA00041340344200001510
And +.>
Figure GDA00041340344200001511
Calculating a third alarm parameter A3, wherein the alarm parameter A is based on +.>
Figure GDA0004134034420000161
Calculating to obtain a third normal running state R3 according to the formula
Figure GDA0004134034420000162
Calculating to obtain a third invalid stop state S3;
and outputting the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3.
Corresponding to the above method, the above device further comprises:
a comparison unit for: average value processing is carried out on the first alarm parameter A1, the second alarm parameter A2 and the third alarm parameter A3, whether the average alarm parameter obtained by the average value processing is in a preset alarm range is judged, and if so, first prompt information is output; average value processing is carried out on the first normal running state R1, the second normal running state R2 and the third normal running state R3, whether average alarm parameters obtained by the average value processing are in a preset normal running state range is judged, and if yes, second prompt information is output; and carrying out average value processing on the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3, judging whether the average alarm parameter obtained by the average value processing is in a preset failure stopping state range, and outputting third prompt information if the average alarm parameter is in the preset failure stopping state range.
Corresponding to the above method, the above device further comprises:
the starting unit is used for judging whether the primary current value acquired by the low-power iron core coil of the active electronic current transformer through the tested primary bus is larger than a preset current value or not; judging whether an energy taking voltage value acquired by an energy taking coil of the active electronic current transformer through a tested primary bus is larger than a preset voltage value or not; when the primary current value is larger than a preset current value and the energy taking voltage value is larger than a preset voltage value, trigger signals are output to the acquisition unit, the blurring processing unit and the DS evidence processing unit so as to start the acquisition unit, the blurring processing unit and the DS evidence processing unit.
In the technical scheme disclosed in the foregoing embodiments of the present application, the device for evaluating the life of the laser in the active electronic current transformer may be independent of the active electronic current transformer, or may be disposed inside the active electronic current transformer, and when disposed inside the active electronic current transformer, the device for evaluating the life of the laser in the active electronic current transformer may be the device for evaluating the life of the laser in the active electronic current transformer provided in any one of the foregoing embodiments of the present application.
Corresponding to the above method, the starting unit is further configured to: and determining whether the active electronic current transformer is powered by energy or laser through judging the primary current value acquired by the coil and the energy-taking voltage of the energy-taking coil. For example, when the primary current value exceeds the primary current set value and the energy taking voltage is higher than the energy taking voltage set value, the energy taking power is supplied at the moment, and the laser is turned off at the moment; when the primary current value is lower than the primary current set value and the energy taking voltage is lower than the energy taking voltage set value, supplying power to the laser at the moment; and when the primary current value exceeds the primary current set value and the energy taking voltage is lower than the energy taking voltage set value, alarming the energy taking loop to be faulty.
Referring to fig. 3, the active electronic current transformer is provided with, in addition to the laser lifetime assessment device, with:
the low-power iron core coil 01, the rogowski coil 02 and the first energy taking coil 03 are used for collecting data of a primary bus;
the collector A is internally provided with a first analog-to-digital converter 04, a second energy-taking coil 05, a first processor 06, an electro-optic converter 07 and a photocell 08; the second energy-taking coil 05 is used for converting energy obtained by the primary bus of the first energy-taking coil 03 into electric energy for devices in the collector A, the first analog-to-digital converter 04 is used for generating and outputting digital signals matched with the energy collected by the low-power iron core coil 01, the rogowski coil 02 and the second energy-taking coil 05, and the first processor 06 is used for processing the digital signals output by the first analog-to-digital converter 04.
The combining unit B is internally provided with a laser 09, a second processor 10, a second analog-to-digital converter 11, an optical-to-electrical converter 12 and a network port 13; the second processor 10 is configured to control a working state of the laser 09, obtain an operation parameter of the laser 09 through the second analog-to-digital converter 11, perform data interaction with the first processor 06 through the electro-optical converter 07 and the optical-to-electrical converter 12, and output a signal through the network port 13; the laser life assessment device in the active electronic current transformer is integrated in the second processor 10.
For convenience of description, the above system is described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. 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.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. A method for evaluating the life of a laser in an active electronic current transformer, comprising:
judging whether a primary current value acquired by a tested primary bus of a low-power iron core coil of the active electronic current transformer is larger than a preset current value or not;
judging whether an energy taking voltage value acquired by an energy taking coil of the active electronic current transformer through a tested primary bus is larger than a preset voltage value or not;
when at least any one of the two judging results is negative, the fact that the active electronic current transformer is powered by a laser is indicated, and the actual output light power of the laser in the active electronic current transformer is obtained;
Acquiring a driving current value of a laser and a temperature value of the laser;
carrying out blurring processing on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function to obtain blurring data corresponding to the actual output light power, the driving current value and the temperature value;
carrying out normalization processing on the fuzzy data, and taking a processing result as the probability of each proposition in the evidence body;
fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure disabling state S;
the blurring processing is performed on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function, and the blurring processing comprises the following steps:
substituting the actual output light power, the driving current value and the temperature value into a formula in sequence
Figure FDA0004134034410000011
Calculating to obtain a set m corresponding to the actual output light power 1 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to drive current value 2 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to temperature value 3 (f 1 (X),f 2 (X),f 3 (X)), wherein the values of a, b, c, d are preset values of different magnitudes, and a < b < c < d;
the DS evidence synthesis method is used for fusing the probabilities of all propositions to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure stopping state S, and comprises the following steps:
The set m corresponding to the actual output light power after normalization processing 1 (f 1 (X),f 2 (X),f 3 (X)) and a set m corresponding to the drive current value 2 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure FDA0004134034410000021
and
Figure FDA0004134034410000022
Calculating a first alarm parameter A1, wherein the elements in the Bi and Ci finger set, i=1, 2,3, are according to +.>
Figure FDA0004134034410000023
Calculating to obtain a first normal running state R1 according to the formula
Figure FDA0004134034410000024
Calculating to obtain a first invalid stop state S1;
the m after normalization treatment 2 (f 1 (X),f 2 (X),f 3 (X)) and a set m corresponding to a temperature value 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure FDA0004134034410000025
And +.>
Figure FDA0004134034410000026
Calculating a second alarm parameter A2, wherein the alarm parameter A2 is defined according to +.>
Figure FDA0004134034410000027
Calculating to obtain a second normal running state R2 according to the formula +.>
Figure FDA0004134034410000028
Calculating to obtain a second invalid stop state S2;
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure FDA0004134034410000029
And +.>
Figure FDA00041340344100000210
Calculating a third alarm parameter A3, wherein the alarm parameter A is based on +.>
Figure FDA00041340344100000211
Calculating to obtain a third normal running state R3 according to the formula
Figure FDA00041340344100000212
Calculating to obtain a third invalid stop state S3;
and outputting the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3.
2. The method for evaluating the lifetime of a laser in an active electronic current transformer according to claim 1, wherein after calculating the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure disabled state S1, the second failure disabled state S2, and the third failure disabled state S3, further comprising:
average value processing is carried out on the first alarm parameter A1, the second alarm parameter A2 and the third alarm parameter A3, whether the average alarm parameter obtained by the average value processing is in a preset alarm range is judged, and if so, first prompt information is output;
average value processing is carried out on the first normal running state R1, the second normal running state R2 and the third normal running state R3, whether average alarm parameters obtained by the average value processing are in a preset normal running state range is judged, and if yes, second prompt information is output;
and carrying out average value processing on the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3, judging whether the average alarm parameter obtained by the average value processing is in a preset failure stopping state range, and outputting third prompt information if the average alarm parameter is in the preset failure stopping state range.
3. A laser life assessment device in an active electronic current transformer, comprising:
the starting unit is used for judging whether the primary current value acquired by the low-power iron core coil of the active electronic current transformer through the tested primary bus is larger than a preset current value or not; judging whether an energy taking voltage value acquired by an energy taking coil of the active electronic current transformer through a tested primary bus is larger than a preset voltage value or not;
the acquisition unit is used for acquiring the actual output light power of the laser in the active electronic current transformer when at least any one of the two judging results of the starting unit is negative, which indicates that the active electronic current transformer is powered by the laser; acquiring a driving current value of a laser and a temperature value of the laser;
the blurring processing unit is used for carrying out blurring processing on the actual output light power, the driving current value and the temperature value by adopting a preset trapezoidal distribution function to obtain blurring data corresponding to the actual output light power, the driving current value and the temperature value;
the DS evidence processing unit is used for carrying out normalization processing on the fuzzy data, and taking a processing result as the probability of each proposition in the evidence body; fusing the probabilities of all propositions based on a DS evidence synthesis method to obtain and output an alarm parameter A for representing the service life state of the laser, a normal running state R and a failure disabling state S;
The blurring processing unit is specifically configured to:
substituting the actual output light power, the driving current value and the temperature value into the formula in sequence by adopting the formula
Figure FDA0004134034410000041
Calculating to obtain a set m corresponding to the actual output light power 1 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to drive current value 2 (f 1 (X),f 2 (X),f 3 (X)), set m corresponding to temperature value 3 (f 1 (X),f 2 (X),f 3 (X)), wherein the values of a, b, c, d are preset values of different magnitudes, and a < b < c < d;
the DS evidence processing unit is specifically configured to include:
the set m corresponding to the actual output light power after normalization processing 1 (f 1 (X),f 2 (X),f 3 (X)) and a set m corresponding to the drive current value 2 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure FDA0004134034410000042
and
Figure FDA0004134034410000043
Calculating a first alarm parameter A1, wherein the elements in the Bi and Ci finger set, i=1, 2,3, are according to +.>
Figure FDA0004134034410000044
Calculating to obtain a first normal running state R1 according to the formula
Figure FDA0004134034410000045
Calculating to obtain a first invalid stop state S1;
the m after normalization treatment 2 (f 1 (X),f 2 (X),f 3 (X)) and a set m corresponding to a temperature value 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure FDA0004134034410000051
And +.>
Figure FDA0004134034410000052
Calculating a second alarm parameter A2, wherein the alarm parameter A2 is defined according to +.>
Figure FDA0004134034410000053
Calculating to obtain a second normal running state R2 according to the formula +.>
Figure FDA0004134034410000054
Calculating to obtain a second invalid stop state S2;
the m after normalization treatment 1 (f 1 (X),f 2 (X),f 3 (X)) and m 3 (f 1 (X),f 2 (X),f 3 (X)) substitution into formula
Figure FDA0004134034410000055
And +. >
Figure FDA0004134034410000056
Calculating a third alarm parameter A3, wherein the alarm parameter A is based on +.>
Figure FDA0004134034410000057
Calculating to obtain a third normal running state R3 according to the formula
Figure FDA0004134034410000058
Calculating to obtain a third invalid stop state S3;
and outputting the first alarm parameter A1, the second alarm parameter A2, the third alarm parameter A3, the first normal operation state R1, the second normal operation state R2, the third normal operation state R3, the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3.
4. The device for evaluating the lifetime of a laser in an active electronic current transformer of claim 3, further comprising:
a comparison unit for: average value processing is carried out on the first alarm parameter A1, the second alarm parameter A2 and the third alarm parameter A3, whether the average alarm parameter obtained by the average value processing is in a preset alarm range is judged, and if so, first prompt information is output; average value processing is carried out on the first normal running state R1, the second normal running state R2 and the third normal running state R3, whether average alarm parameters obtained by the average value processing are in a preset normal running state range is judged, and if yes, second prompt information is output; and carrying out average value processing on the first failure stopping state S1, the second failure stopping state S2 and the third failure stopping state S3, judging whether the average alarm parameter obtained by the average value processing is in a preset failure stopping state range, and outputting third prompt information if the average alarm parameter is in the preset failure stopping state range.
5. An active electronic current transformer, comprising:
a laser life assessment device in an active electronic current transformer as claimed in any one of claims 3 to 4.
6. The active electronic current transformer of claim 5, further comprising:
the low-power iron core coil, the rogowski coil and the first energy taking coil are used for collecting data of the primary bus;
the device comprises a collector, wherein a first analog-to-digital converter, a second energy-taking coil, a first processor, an electro-optic converter and a photocell are arranged in the collector; the second energy-taking coil is used for converting energy acquired by the first energy-taking coil through the primary bus into electric energy for devices in the collector, the first analog-to-digital converter is used for generating and outputting digital signals matched with the energy acquired by the low-power iron core coil, the rogowski coil and the second energy-taking coil, and the first processor is used for processing the digital signals output by the first analog-to-digital converter;
the combining unit is internally provided with a laser, a second processor, an optical-electrical converter, a second analog-digital converter and a network port; the second processor is used for controlling the working state of the laser, acquiring the operation parameters of the laser through the second analog-to-digital converter, performing data interaction with the first processor through the electric-to-optical converter and the optical-to-electric converter, and outputting signals through the network port; the laser life assessment device in the active electronic current transformer is integrated in the second processor.
CN201811600200.5A 2018-12-26 2018-12-26 Active electronic current transformer and laser life evaluation method and device thereof Active CN111366884B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811600200.5A CN111366884B (en) 2018-12-26 2018-12-26 Active electronic current transformer and laser life evaluation method and device thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811600200.5A CN111366884B (en) 2018-12-26 2018-12-26 Active electronic current transformer and laser life evaluation method and device thereof

Publications (2)

Publication Number Publication Date
CN111366884A CN111366884A (en) 2020-07-03
CN111366884B true CN111366884B (en) 2023-05-16

Family

ID=71204209

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811600200.5A Active CN111366884B (en) 2018-12-26 2018-12-26 Active electronic current transformer and laser life evaluation method and device thereof

Country Status (1)

Country Link
CN (1) CN111366884B (en)

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0565761B1 (en) * 1992-04-15 1997-07-09 Mita Industrial Co. Ltd. An image forming apparatus provided with self-diagnosis system
CN1050454C (en) * 1995-08-11 2000-03-15 吉林大学 Detecting and analysing method and apparatus for reliability of semiconductor laser
CN100386611C (en) * 2004-03-02 2008-05-07 华为技术有限公司 Apparatus and method for detecting invalidation and aging of laser device
CN102520336A (en) * 2011-12-20 2012-06-27 西安炬光科技有限公司 Protection system for aging and life test of semiconductor laser
CN103630781B (en) * 2013-11-27 2014-12-10 贵州电力试验研究院 Composite energy supply non-contact on-line monitoring system for active electronic current transformer and data processing method thereof
CN106932670B (en) * 2017-02-08 2019-05-14 国家电网公司 A kind of distribution power automation terminal method for diagnosing status based on D-S evidence theory
CN108446458B (en) * 2018-03-01 2019-10-22 西北工业大学 A kind of Weighted Fusion rotor method for diagnosing faults based on DS evidence theory
CN108398939B (en) * 2018-03-01 2020-01-10 西北工业大学 Fault diagnosis method based on DS evidence theory
CN108444682B (en) * 2018-06-08 2023-10-03 深圳市杰普特光电股份有限公司 Automatic function test system for semiconductor laser

Also Published As

Publication number Publication date
CN111366884A (en) 2020-07-03

Similar Documents

Publication Publication Date Title
CN109596913B (en) Charging pile fault cause diagnosis method and device
CN105305444A (en) Distribution network intelligent alarm and processing method based on integrated allocation
CN103282787B (en) Automatic emergency is for electrical testing
CN110796368B (en) Bayesian network-based dynamic risk assessment method and device for community power distribution network
JP7249431B2 (en) Detection method, device, electronic device and storage medium for power consumption behavior
CN103926485B (en) Power failure event judging method based on electric energy collecting terminal
CN105916169A (en) System and method of voice annunciation of signal strength, quality of service, and sensor status for wireless devices
CN116523294A (en) Knowledge graph-based power grid risk early warning and decision system, method and equipment
CN103208049A (en) Quick accident analysis method and system for abnormal alarm
CN111366884B (en) Active electronic current transformer and laser life evaluation method and device thereof
Kumar et al. Outage management system for power distribution network
CN113725813A (en) Leakage protection method, device and equipment and leakage protection electric energy meter
Zhang et al. Risk assessment for substation operation based on triangular fuzzy number AHP and cloud model
CN117037454A (en) Early warning protection system, control method and device of electrical cabinet, medium and electrical cabinet
CN111049131B (en) Regional power grid online fault handling plan generation method and system
CN103617571A (en) Method and device for dealing with power grid state estimation problems
CN116455079A (en) Big data-based electricity consumption integrated safety supervision system and method
KR101733218B1 (en) System and method for charging generation power to energy storage system without stop of generator when transmission path occur disorder
CN107767028B (en) Transmission section limit automatic identification and out-of-limit calculation method based on xml
CN108243069B (en) Processing method and device for communication of electric energy meter
JP2020108245A (en) Abnormality detection system and vehicle including the same, and abnormality detection method
CN102231222A (en) Electric fire monitoring method
CN112821352A (en) On-line detection method and protection device for human body electric shock of street lamp lighting system
CN110706434A (en) Man-machine interactive power transmission line fault monitoring and early warning system
CN117852773B (en) Fault positioning system for power distribution network

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant