CN108445321A - A kind of relay protection fault intelligence Wave record method - Google Patents
A kind of relay protection fault intelligence Wave record method Download PDFInfo
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- CN108445321A CN108445321A CN201810225532.3A CN201810225532A CN108445321A CN 108445321 A CN108445321 A CN 108445321A CN 201810225532 A CN201810225532 A CN 201810225532A CN 108445321 A CN108445321 A CN 108445321A
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses a kind of relay protection fault intelligence Wave record methods; the present invention uses data compressing module; front and back waveform Differential Compression algorithm based on wave period characteristic; have the characteristics that low-power consumption, calculation amount are small, compression factor is high; there is preferable Wave data compression effectiveness, the manufacturing cost for reducing relay protection fault recording and playback system by a relatively large margin；The present invention is on the basis of fault recorder data, electric system primary equipment is modeled, primary equipment model and the recording channel in fault recorder data file are associated, obtain analysis model, when failure occurs, according to voltage, the catastrophe characteristics of electric current, the waveform alignment of more recorder datas can be carried out；The present invention is respectively from the fault recorder data of a period of time before and after extraction fault moment in each failure wave-recording file, as unit of primary equipment element, the calculating of the fault characteristic value of each primary equipment element is carried out, intermediate data is formed, overcomes the limitation of failure wave-recording file itself.
Description
Technical field
The present invention relates to relay protection fields, and in particular to a kind of relay protection fault intelligence Wave record method.
Background technology
Currently, Power System Fault Record development in China's is swift and violent, during it can automatically and accurately be recorded before and after failure
The situation of change of various electrical quantity records the overall process variation phenomenon of system frequency, and records transient information, by these
The record of information provides power failure occurrence cause certain reference value, and the record that oscillograph is independently of except protection is set
It is standby, it is the most effective tool of judgement accident evolution by recording analog quantity and switching value come actual response accident situation.
Failure wave-recording is when electric system is broken down, automatically, the accurately record electricity system failure forward and backward process
The situation of change of various electrical quantity (main number amount, such as on off state variation, analog quantity, mainly voltage, current values),
By the analysis of these electrical quantity, compare, to analyzing processing accident, judges whether protection correctly acts, improves electric system peace
The effect of full operation level.
Fault recorder data containing magnanimity in failure information system often has timing, clock asynchronism, no
The features such as consistency, imperfection, redundancy, the transmission line of electricity both ends recorder data under same markers not necessarily match
's.Transmission line of electricity both ends both-end fault recorder data is matched, Two-terminal Fault Location is applied to, protects behavioural analysis, therefore
Equivalent verification etc., will preferably play the value of data, have to accident analysis and fault recovery under barrier playback, accident condition
Important meaning.
Fault recorder data is high-speed sampling, and comprehensive analysis is carried out just to clock to the recorder data that different device generates
Precision proposes very high requirement, and obstacle is caused to the analysis for carrying out profound.
Invention content
The present invention provides a kind of relay protection fault intelligence Wave record method, and the present invention uses data compressing module, is based on wave
The front and back waveform Differential Compression algorithm of shape periodic characteristic has the characteristics that low-power consumption, calculation amount are small, compression factor is high, have compared with
Good Wave data compression effectiveness, the manufacturing cost for reducing relay protection fault recording and playback system by a relatively large margin；This
Invention models electric system primary equipment on the basis of fault recorder data, and primary equipment model and failure are recorded
Recording channel in wave data file is associated, and obtains analysis model, can be according to voltage, electricity when failure occurs
The catastrophe characteristics of stream carry out the waveform alignment of more recorder datas；When the present invention extracts failure from each failure wave-recording file respectively
The fault recorder data for carving front and back a period of time, as unit of primary equipment element, the failure for carrying out each primary equipment element is special
The calculating of sign amount forms intermediate data, overcomes the limitation of failure wave-recording file itself.
To achieve the above object, a kind of relay protection fault intelligence Wave record method of the invention, a kind of relay protection fault
Intelligent Wave record method, the described method comprises the following steps：
S1. power equipment waveform is obtained in real time, and is converted to Wave data；
S2. the Wave data is compressed；
S3. the Wave data is analyzed, fault waveform and fault data are obtained.
Preferably, the step S2 specifically comprises the following steps：
S21. the compressed electric current of extraction, voltage signal have periodic feature, allow to include interference signal；Described
Electric current, voltage signal will produce the difference in front and back period in compression process；
S22. the electric current of step S21, Wave data of the voltage signal on entire time shaft are encapsulated as according to periodical
Multiple independent data cells, each data cell configuration data head；
S23. compression process obtains optimal compression factor in such a way that a variety of subalgorithms are tested successively.
Specifically, data compressing module carries out data compression using following algorithm：
It will be a certain in the latter waveform in such a way that front and back waveform subtracts each other for the waveform of fault detector admission
A data point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data is logical
Cross whether highest order is 1 positive and negative to distinguish.
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit is first
In the way of front and back waveform difference, the difference of current form and previous waveform is obtained, and difference is subjected to bit wide compression.
During waveform difference before and after progress, each data cell is reduced to the difference compared to previous waveform
It indicates；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference as benchmark
Maximum number of digits includes indicating positive and negative sign bit.
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional
Bit wide compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, choosing
Access is according to the minimum compress mode as first waveform of byte number.
Preferably, maximum pressure is reached by the optimal selection to subalgorithm using the combination of multiple already present subalgorithms
Contracting ratio.
Preferably, to the sampling precision of Current Voltage according to 12 bit AD samples, every group of waveform includes 960 sampled points, altogether
12 waveforms, the first step are that 12 waveforms are divided into 12 data cells, and each data cell increases data head, each data sheet
One point data bit wide and institute's compressed data sampling number after compression type, compression are had in member；
Second step is compressed to the first waveform in 12 waveforms：Two kinds of compress modes, bit wide are selected in compression
Compression and front and back Differential Compression, when carrying out bit wide compression, using the compress mode of 12Bit, compression factor 1/4；Into
Before and after row when sampled point Differential Compression, using difference value maximum value bit wide plus sign bit as with reference to bit wide；Compare two kinds of compressions
Mode selects compress mode of the compression algorithm of bit wide minimum after compressing as first waveform.
Third step is n-th of the waveform taken in follow-up 11 waveforms, if sampled data points are expressed as P in waveformN, i, n=
[2,3 .., 12], i=[1,2 .., 80], then for waveform wnIt can be expressed as Wn={ PN, i, i=[1,2 .., 80]；According to
Wherein n=[2,3 .., 11], i=[1,2 .., 80]；
Then all-wave graphic data can do following equivalence：
If compressed Wave data unit bit wide is less than or equal to 12, n=n+1 is executed, repetition third step is returned to and holds
Row；If compressed bit wide is more than 12, the 4th following steps is executed；
4th step then uses front and back sampled point Differential Compression in the case of front and back waveform Differential Compression algorithm is non-optimal
Algorithm, for waveform element Wn, n=[2,3 .., 12], PnIt can do following equivalent
When compressed Wave data unit bit wide is less than or equal to 12, then n=n+1 is executed, repeats third step；Work as pressure
Bit wide after contracting is more than 12, then executes the 5th following steps；
5th step then uses 12Bit bit wides compression side in the case of front and back sampled point Differential Compression algorithm is non-optimal
Formula executes n=n+1, returns to repetition third step and executes.
Preferably, the step S3 specifically comprises the following steps：
S31. it is based on recorder data, establishes electric system primary equipment model, by primary equipment model and failure wave-recording text
Recording channel in part is associated, and obtains analysis model；
S32. the fault recorder data before and after extraction fault moment in a period of time, calculates the failure of each primary equipment element
Characteristic quantity；
S33. analysis model and fault characteristic value are stored in database, are used for fault diagnosis and crash analysis.
Preferably, in the step S31, it is based on fault recorder data, establishes electric system primary equipment model, it will be primary
Device model and the recording channel of intelligent recording terminal are associated, and obtain analysis model, including：
S311. the recorder data based on each failure establishes electric system primary equipment model；
S322. increase corresponding multiple analog quantity channels number and multiple switch in each recorder data in primary equipment model
The channel number in channel is measured, analysis model is formed.
Preferably, the analysis model includes bus model, model of power transmission system, transformer model, breaker mould
Type and protective device model；
Wherein, the bus model includes busbar title, busbar number, voltage class, relevant protective device number, phase
The voltage channel number in recorder data is numbered and corresponded to the breaker apparatus of pass；
The model of power transmission system include line name, circuit number, voltage class, line impedance parameter, line length,
Current channel number in relevant protective device number, relevant breaker apparatus number, corresponding recorder data；
The transformer model include transformer name, transformer number, two or three side transformer volumes, relevant protection fill
Set number；
The breaker model includes switching value channel number and the affiliated signal type of switching value in corresponding fault recorder data；
The protective device model includes switching value channel number and the affiliated class signal of switching value in corresponding fault recorder data
Type.
Preferably, after obtaining analysis model, when failure occurs, current break is obtained by traversing Wave data
Point, the waveform that multiple faults recorder data is carried out according to current break point are aligned.
Preferably, the fault characteristic value includes effective value, 5-15 subharmonic values, DC component before and after failure
And time attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act
Characteristic quantity, breaker actuation characteristic quantity and Wave data；Primary equipment element includes busbar, transmission line of electricity, transformer and open circuit
Device.
Technical scheme of the present invention has the following advantages that：
(1) present invention uses data compressing module, the front and back waveform Differential Compression algorithm based on wave period characteristic, tool
Have the characteristics that low-power consumption, calculation amount are small, compression factor is high, there is preferable Wave data compression effectiveness, reduction by a relatively large margin after
Electric protection failure is recorded and the manufacturing cost of playback system.
(2) present invention models electric system primary equipment, on the basis of fault recorder data by primary equipment
Model is associated with the recording channel in fault recorder data file, obtains analysis model, can when failure occurs
According to voltage, the catastrophe characteristics of electric current, the waveform alignment of more recorder datas is carried out；The present invention is respectively from each failure wave-recording file
The fault recorder data of a period of time before and after extraction fault moment carries out each primary equipment member as unit of primary equipment element
The calculating of the fault characteristic value of part forms intermediate data, overcomes the limitation of failure wave-recording file itself.
Description of the drawings
Fig. 1 shows a kind of block diagram of relay protection fault playback system of the present invention；
Fig. 2 shows a kind of relay protection fault intelligence Wave record methods of the present invention.
Specific implementation mode
Fig. 1 shows that a kind of relay protection fault playback system of the present invention, the system include intelligent recording terminal 1 and record
Wave analysis and playback reproducer 2；
The intelligence recording terminal 1 includes：
Waveform acquisition module 11, the shape information for obtaining power equipment in real time；
Data conversion module 12, for shape information to be converted into Wave data in real time；
Data compressing module 13, for compressing Wave data；
Compressed Wave data is sent to recording point by recorder data sending module 15 for network by radio communication
Analysis and playback reproducer；
Terminal control module 14, and for each module work in intelligent recording terminal；
The analysis and playback reproducer 2 include：
Recorder data receiving module 21, the recorder data sended over for receiving intelligent terminal；
Analysis module 22 obtains fault waveform and data for analyzing the recorder data；
Wave record playback module 23, for playing back fault waveform and data；
Middle control module 24 controls entire relay protection fault playback system for coordinating.
Data compressing module 13 includes：
Periodic feature extraction unit, for extracting compressed electric current, voltage signal have periodic feature, allow
Including interference signal, the electric current, voltage signal will produce the difference in front and back period in compression process；
Data packaging unit, by the Wave data of the electric current, voltage signal on entire time shaft according to periodic characteristic
It is encapsulated as multiple independent data cells, each data cell configuration data head.
Preferably, data compressing module 13 obtains optimal in compression process in such a way that a variety of subalgorithms are tested successively
Compression factor.
Specifically, data compressing module 13 carries out data compression using following algorithm：
It will be a certain in the latter waveform in such a way that front and back waveform subtracts each other for the waveform of fault detector admission
A data point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data is logical
Cross whether highest order is 1 positive and negative to distinguish.
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit is first
In the way of front and back waveform difference, the difference of current form and previous waveform is obtained, and difference is subjected to bit wide compression.
During waveform difference before and after progress, each data cell is reduced to the difference compared to previous waveform
It indicates；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference as benchmark
Maximum number of digits includes indicating positive and negative sign bit.
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional
Bit wide compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, choosing
Access is according to the minimum compress mode as first waveform of byte number.
Preferably, maximum pressure is reached by the optimal selection to subalgorithm using the combination of multiple already present subalgorithms
Contracting ratio.
The analysis module 22 includes：
Primary equipment model foundation unit establishes primary equipment model for being based on fault recorder data；
Analysis model foundation unit, for carrying out the recording channel in primary equipment model and failure wave-recording file
Association, obtains analysis model；
Data extracting unit, the fault recorder data for a period of time before and after extracting fault moment in recorder data；
Fault characteristic value computing unit, for according to the fault recorder in a period of time before and after the fault moment extracted
According to calculating the fault characteristic value of each primary equipment element；
Storage unit is used for storing analysis model and fault characteristic value for fault diagnosis and crash analysis.
Preferably, the analysis module 22 further includes：
Waveform alignment unit, for when failure occurs, finding the catastrophe point by traversing Wave data, carrying out multiple faults
The waveform of recorder data is aligned.
Preferably, fault characteristic value computing unit is specifically used for：
To in a period of time after failure before failure, a point is taken at interval of 10ms, according to the fault recorder data of the point,
Calculate the corresponding effective value of each primary equipment before and after the failure of the point, 5-15 subharmonic values, DC component and time
Attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act characteristic quantity
With breaker actuation characteristic quantity；
Then in time range, a point is taken at interval of 10ms, according to the failure of the point to after overlapping in Reclosing Instant
Recorder data calculates the corresponding effective value of each primary equipment before and after the failure of the point, 5-15 subharmonic values, direct current minute
Amount and time attenuation constant, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, are protected and are moved order components
Make characteristic quantity and breaker actuation characteristic quantity.
Fig. 2 shows a kind of relay protection fault intelligence Wave record methods of the present invention, the described method comprises the following steps：
S1. power equipment waveform is obtained in real time, and is converted to Wave data；
S2. the Wave data is compressed；
S3. the Wave data is analyzed, fault waveform and fault data are obtained.
Preferably, the step S2 specifically comprises the following steps：
S21. the compressed electric current of extraction, voltage signal have periodic feature, allow to include interference signal；Described
Electric current, voltage signal will produce the difference in front and back period in compression process；
S22. the electric current of step S21, Wave data of the voltage signal on entire time shaft are encapsulated as according to periodical
Multiple independent data cells, each data cell configuration data head；
S23. compression process obtains optimal compression factor in such a way that a variety of subalgorithms are tested successively.
Specifically, data compressing module 13 carries out data compression using following algorithm：
It will be a certain in the latter waveform in such a way that front and back waveform subtracts each other for the waveform of fault detector admission
A data point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data is logical
Cross whether highest order is 1 positive and negative to distinguish.
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit is first
In the way of front and back waveform difference, the difference of current form and previous waveform is obtained, and difference is subjected to bit wide compression.
During waveform difference before and after progress, each data cell is reduced to the difference compared to previous waveform
It indicates；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference as benchmark
Maximum number of digits includes indicating positive and negative sign bit.
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional
Bit wide compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, choosing
Access is according to the minimum compress mode as first waveform of byte number.
Preferably, maximum pressure is reached by the optimal selection to subalgorithm using the combination of multiple already present subalgorithms
Contracting ratio.
Preferably, to the sampling precision of Current Voltage according to 12 bit AD samples, every group of waveform includes 960 sampled points, altogether
12 waveforms, the first step are that 12 waveforms are divided into 12 data cells, and each data cell increases data head, each data sheet
One point data bit wide and institute's compressed data sampling number after compression type, compression are had in member；
Second step is compressed to the first waveform in 12 waveforms：Two kinds of compress modes, bit wide are selected in compression
Compression and front and back Differential Compression, when carrying out bit wide compression, using the compress mode of 12Bit, compression factor 1/4；Into
Before and after row when sampled point Differential Compression, using difference value maximum value bit wide plus sign bit as with reference to bit wide；Compare two kinds of compressions
Mode selects compress mode of the compression algorithm of bit wide minimum after compressing as first waveform.
Third step is n-th of the waveform taken in follow-up 11 waveforms, if sampled data points are expressed as P in waveformN, i, n=
[2,3 .., 12], i=[1,2 .., 80], then for waveform wnIt can be expressed as Wn={ PN, i, i=[1,2 .., 80]；According to
Wherein n=[[2,3 .., 11], i=[1,2 .., 80]；
Then all-wave graphic data can do following equivalence：
If compressed Wave data unit bit wide is less than or equal to 12, n=n+1 is executed, repetition third step is returned to and holds
Row；If compressed bit wide is more than 12, the 4th following steps is executed；
4th step then uses front and back sampled point Differential Compression in the case of front and back waveform Differential Compression algorithm is non-optimal
Algorithm, for waveform element Wn, n=[2,3 .., 12], PnIt can do following equivalent
When compressed Wave data unit bit wide is less than or equal to 12, then n=n+1 is executed, repeats third step；Work as pressure
Bit wide after contracting is more than 12, then executes the 5th following steps；
5th step then uses 12Bit bit wides compression side in the case of front and back sampled point Differential Compression algorithm is non-optimal
Formula executes n=n+1, returns to repetition third step and executes.
Preferably, the step S3 specifically comprises the following steps：
S31. it is based on recorder data, establishes electric system primary equipment model, by primary equipment model and failure wave-recording text
Recording channel in part is associated, and obtains analysis model；
S32. the fault recorder data before and after extraction fault moment in a period of time, calculates the failure of each primary equipment element
Characteristic quantity；
S33. analysis model and fault characteristic value are stored in database, are used for fault diagnosis and crash analysis.
Preferably, in the step S31, it is based on fault recorder data, establishes electric system primary equipment model, it will be primary
Device model and the recording channel of intelligent recording terminal are associated, and obtain analysis model, including：
S311. the recorder data based on each failure establishes electric system primary equipment model；
S322. increase corresponding multiple analog quantity channels number and multiple switch in each recorder data in primary equipment model
The channel number in channel is measured, analysis model is formed.
Preferably, the analysis model includes bus model, model of power transmission system, transformer model, breaker mould
Type and protective device model；
Wherein, the bus model includes busbar title, busbar number, voltage class, relevant protective device number, phase
The voltage channel number in recorder data is numbered and corresponded to the breaker apparatus of pass；
The model of power transmission system include line name, circuit number, voltage class, line impedance parameter, line length,
Current channel number in relevant protective device number, relevant breaker apparatus number, corresponding recorder data；
The transformer model include transformer name, transformer number, two or three side transformer volumes, relevant protection fill
Set number；
The breaker model includes switching value channel number and the affiliated signal type of switching value in corresponding fault recorder data；
The protective device model includes switching value channel number and the affiliated class signal of switching value in corresponding fault recorder data
Type.
Preferably, after obtaining analysis model, when failure occurs, current break is obtained by traversing Wave data
Point, the waveform that multiple faults recorder data is carried out according to current break point are aligned.
Preferably, the fault characteristic value includes effective value, 5-15 subharmonic values, DC component before and after failure
And time attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act
Characteristic quantity, breaker actuation characteristic quantity and Wave data；Primary equipment element includes busbar, transmission line of electricity, transformer and open circuit
Device.
Preferably, the fault recorder data before and after extraction fault moment in a period of time calculates each primary equipment element event
The front and back effective value of barrier, 5-15 subharmonic values, DC component and time attenuation constant, order components, poor flow valuve, circuit are surveyed
Impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act characteristic quantity and breaker actuation characteristic quantity are measured, including：
The fault recorder data of a period of time before and after extracting fault moment in each failure wave-recording file；
To in a period of time after failure before failure, a point is taken at interval of 10ms, according to the fault recorder data of the point,
Calculating the corresponding effective value of each primary equipment before and after the point failure, 5-15 subharmonic values, DC component and time declines
Subtract constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act characteristic quantity and
Breaker actuation characteristic quantity；
In time range, a point is taken at interval of 10ms, according to the failure wave-recording of the point to after overlapping in Reclosing Instant
It is timely to calculate the corresponding effective value of each primary equipment before and after the point failure, 5-15 subharmonic values, DC component for data
Between attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic amount, fault localization characteristic quantity, protection act feature
Amount and breaker actuation characteristic quantity.
Preferably, the fault recorder data before and after extraction fault moment in a period of time calculates each primary equipment element event
The front and back Wave data of barrier, including：
The corresponding three-phase of Wave data, circuit of the corresponding three-phase voltage of busbar is extracted from each failure wave-recording file respectively
The Wave data of each side of the Wave data of voltage and three-phase current, transformer and neutral point corresponding three-phase voltage and three-phase current
And the Wave data of the corresponding three-phase current of breaker；
The Wave data extracted is subjected to unified normalized, and calculates 3 cycles before each primary equipment element fault
10 weeks waveform datas are once worth after 10 weeks waveform datas and reclosing after Wave data, failure；
According to 10 weeks after 3 weeks waveform datas, failures before each primary equipment element fault of COMTRADE stored in file format
10 weeks waveform datas are once worth after waveform data and reclosing.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
The specific implementation of the present invention is confined to these explanations.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, several equivalent substitute or obvious modifications is made, and performance or use is identical, all should
It is considered as belonging to protection scope of the present invention.
Claims (10)
1. a kind of relay protection fault intelligence Wave record method, the described method comprises the following steps：
S1. power equipment waveform is obtained in real time, and is converted to Wave data；
S2. the Wave data is compressed；
S3. the Wave data is analyzed, fault waveform and fault data are obtained.
2. the method as described in claim 1, which is characterized in that the step S2 specifically comprises the following steps：
S21. the compressed electric current of extraction, voltage signal have periodic feature, allow to include interference signal；The electricity
Stream, voltage signal will produce the difference in front and back period in compression process；
S22. the electric current of step S21, Wave data of the voltage signal on entire time shaft is multiple according to being periodically encapsulated as
Independent data cell, each data cell configuration data head；
S23. compression process obtains optimal compression factor in such a way that a variety of subalgorithms are tested successively.
3. method as claimed in claim 2, which is characterized in that data compressing module carries out data compression using following algorithm：
For the waveform of fault detector admission, in such a way that front and back waveform subtracts each other, by a certain number in the latter waveform
Strong point subtracts the corresponding same data point of previous waveform, and to obtain smaller differential data, this differential data passes through most
Whether a high position is 1 positive and negative to distinguish；
Wave data on time shaft is divided into multiple subdata units according to its cycle time, each subdata unit first according to
The mode of front and back waveform difference obtains the difference of current form and previous waveform, and difference is carried out bit wide compression；
During waveform difference before and after progress, each data cell is reduced to the difference table compared to previous waveform
Show；The maximum deviation amount of acquisition waveforms difference, record maximum deviation amount digit carry out bit wide compression, difference is most as benchmark
Big digit includes indicating positive and negative sign bit；
Difference reference waveform for first waveform as waveform subsequent, using two kinds of compression algorithms, a kind of is traditional bit wide
Compression algorithm, a kind of bit wide compression algorithm for tape symbol, two kinds of algorithms respectively count the data word joint number after having compressed, and choose number
According to the minimum compress mode as first waveform of byte number.
4. method as claimed in claim 3, which is characterized in that, using the combination of multiple already present subalgorithms, pass through antithetical phrase
The optimal selection of algorithm reaches maximum compression ratio.
5. method as claimed in claim 4, which is characterized in that the sampling precision of Current Voltage according to 12 bit AD samples, often
Group waveform includes 960 sampled points, and totally 12 waveforms, the first step are that 12 waveforms are divided into 12 data cells, each data
Unit increases data head, and one point data bit wide and institute's compressed data sampling after compression type, compression are had in each data cell
Points；
Second step is compressed to the first waveform in 12 waveforms：Two kinds of compress modes, bit wide compression are selected in compression
With front and back Differential Compression, when carrying out bit wide compression, using the compress mode of 12Bit, compression factor 1/4；Progress before
When post-sampling point Differential Compression, using difference value maximum value bit wide plus sign bit as with reference to bit wide；Compare two kinds of compress modes,
Select compress mode of the compression algorithm of bit wide minimum after compressing as first waveform.
Third step is n-th of the waveform taken in follow-up 11 waveforms, if sampled data points are expressed as P in waveformN, i, n=[2,
3 .., 12], i=[1,2 .., 80] is then for waveform WnIt can be expressed as Wn={ PN, i, i=[1,2 .., 80]；According to
Wherein n=[2,3 .., 11], i=[1,2 ..., 80]；
Then all-wave graphic data can do following equivalence：
If compressed Wave data unit bit wide is less than or equal to 12, n=n+1 is executed, repetition third step is returned to and executes；If
Compressed bit wide is more than 12, executes the 4th following steps；
4th step then uses front and back sampled point Differential Compression algorithm in the case of front and back waveform Differential Compression algorithm is non-optimal,
For waveform element Wn, n=[2,3 .., 12], PnIt can do following equivalent
When compressed Wave data unit bit wide is less than or equal to 12, then n=n+1 is executed, repeats third step；After compression
Bit wide be more than 12, then execute the 5th following steps；
5th step then uses 12Bit bit wide compress modes, holds in the case of front and back sampled point Differential Compression algorithm is non-optimal
Row n=n+1 returns to repetition third step and executes.
6. method according to any one of claims 1 to 5, which is characterized in that the step S3 specifically comprises the following steps：
S31. it is based on recorder data, establishes electric system primary equipment model, it will be in primary equipment model and failure wave-recording file
Recording channel be associated, obtain analysis model；
S32. the fault recorder data before and after extraction fault moment in a period of time, calculates the fault signature of each primary equipment element
Amount；
S33. analysis model and fault characteristic value are stored in database, are used for fault diagnosis and crash analysis.
7. method as claimed in claim 6, which is characterized in that in the step S31, be based on fault recorder data, establish electricity
Primary equipment model and the recording channel of intelligent recording terminal are associated, obtain recording point by Force system primary equipment model
Model is analysed, including：
S311. the recorder data based on each failure establishes electric system primary equipment model；
S322. it is logical to increase corresponding multiple analog quantity channels number and multiple switch amount in each recorder data in primary equipment model
The channel number in road forms analysis model.
8. the method for claim 7, which is characterized in that, the analysis model includes bus model, transmission line of electricity
Model, transformer model, breaker model and protective device model；
Wherein, the bus model include busbar title, busbar number, voltage class, relevant protective device number, it is relevant
The voltage channel number in recorder data is numbered and corresponded to breaker apparatus；
The model of power transmission system includes line name, circuit number, voltage class, line impedance parameter, line length, correlation
Protective device number, relevant breaker apparatus number, the current channel number in corresponding recorder data；
The transformer model include transformer name, transformer number, two or three side transformer volumes, relevant protective device compile
Number；
The breaker model includes switching value channel number and the affiliated signal type of switching value in corresponding fault recorder data；
The protective device model includes switching value channel number and the affiliated signal type of switching value in corresponding fault recorder data.
9. method as claimed in claim 8, which is characterized in that after obtaining analysis model, when failure occurs, by time
It goes through Wave data and obtains current break point, the waveform that multiple faults recorder data is carried out according to current break point is aligned.
10. method as claimed in claim 9, which is characterized in that the fault characteristic value include before and after failure voltage and current have
Valid value, 5-15 subharmonic values, DC component and time attenuation constant, order components, poor flow valuve, route survey impedance, frequecy characteristic
Amount, fault localization characteristic quantity, protection act characteristic quantity, breaker actuation characteristic quantity and Wave data；Primary equipment element includes
Busbar, transmission line of electricity, transformer and breaker.
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