CN108376194A - Insulator contamination prediction technique based on atmospheric environmental parameters - Google Patents
Insulator contamination prediction technique based on atmospheric environmental parameters Download PDFInfo
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- CN108376194A CN108376194A CN201810144520.8A CN201810144520A CN108376194A CN 108376194 A CN108376194 A CN 108376194A CN 201810144520 A CN201810144520 A CN 201810144520A CN 108376194 A CN108376194 A CN 108376194A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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Abstract
A kind of insulator contamination prediction technique based on atmospheric environmental parameters provided by the invention, includes the following steps：S1：Acquire atmospheric environmental parameters；S2：To in atmospheric environmental parameters air filth particle size and mass concentration successively carry out pretreatment and sliding-model control formed particle mass concentration-grain size discrete relationship set；S4：It obtains the air filth particle mass concentration in particle mass concentration-grain size discrete relationship set and calls the insulator surface contamination amount in unit interval insulator contamination amount database, calculate the insulator surface contamination increment in each detection time section；S5：Insulator surface contamination increment in each detection time section is overlapped, the total contamination amount of insulator surface for continuing the contamination period is obtained.The present invention does not need tissue manpower and carries out live insulator dirty degree measurement, it is only necessary to which conventional atmospheric environmental parameters detection predicts insulator surface contamination amount, obtains power transmission and distribution external insulation pollution state.
Description
Technical field
The present invention relates to the prediction techniques of insulator surface contamination amount, and in particular to a kind of based on the exhausted of atmospheric environmental parameters
Edge subproduct dirt dynamic prediction method.
Background technology
Lending analysis is one of key technology of extra-high voltage direct-current transmission engineering.In the construction of UHV transmission, transmission of electricity
Corridor span is constantly expanding so that overhead transmission line inevitably passes through various complex environment filthy areas.And filthy area air is dirty
Dye object falls to external insulation equipment surface and forms contamination, in the unfavorable meteorological item of humidity higher (such as mist, dew, drizzle, molten snow)
Under part, external insulation surface pollution layer will obtain moistening to conductive so that pollution layer surface conductance under working voltage and let out
Leakage current will greatly increase, and be reduced so as to cause insulation performance, or even cause edge flashing, cause pollution flashover accident.According to statistics, greatly
Area pollution flashover accident is usually focused on economically developed, densely populated areas, almost occurs every year and occurs within every 5 to 6 years primary dirty
Peak is dodged, harm is much larger than other type electric network faults, and in the 80-90 ages in 20th century, pollution flashover accident number is in power grid accident
Occupy the 2nd in total degree, be only second to damage to crops caused by thunder, but caused by lose and but decuple lightening hazard.Currently, for convenience of determining power grid
It is logical to carry out related works, the operation power departments such as circuit external insulation design, line insulator cleaning and creep distance adjustment for dirty area's grade
Main means often are measured as to organize manpower to carry out live insulator dirty degree, the filthy state of circuit is determined with this.This method
It is complicated for operation, it needs to consume a large amount of man power and material.
It is, therefore, desirable to provide a kind of saving human and material resources, simple and practicable insulator contamination dynamic prediction method.
Invention content
In view of this, the object of the present invention is to provide a kind of insulator contamination prediction technique based on atmospheric environmental parameters,
By carrying out the processing such as data fitting, discretization, emulation to collected atmospheric parameter, the discrete pass of atmospheric environmental parameters is established
Assembly closes single and position time insulator contamination amount database, to easily according to the atmospheric parameter of acquisition, call granular mass
In air filth particle mass concentration and unit interval insulator contamination amount database in concentration-grain size discrete relationship set
Unit interval insulator surface contamination amount, calculate continue the contamination period the total contamination amount of insulator surface.The present invention is not required to
It organizes manpower to carry out live insulator dirty degree to measure, it is only necessary to conventional atmospheric environmental parameters detection, to the sublist that insulate
Area dirt amount is predicted, while having saved human and material resources, is realized contamination dynamic prediction, is obtained power transmission and distribution external insulation
Filthy state.
The present invention provides the insulator contamination prediction technique based on atmospheric environmental parameters, includes the following steps：
S1：Acquire atmospheric environmental parameters, wherein atmospheric environmental parameters include that air filth particle size and quality are dense
Degree；
S2：To in atmospheric environmental parameters air filth particle size and mass concentration carry out pretreatment and form filthy
Grain mass fraction-grain size continuous function, and carry out sliding-model control again to the continuous function and form particle mass concentration-grain size
Discrete relationship set；
S4：According to the atmospheric parameter of acquisition, the air obtained in particle mass concentration-grain size discrete relationship set is filthy
Insulator surface contamination amount in particle mass concentration and calling unit interval insulator contamination amount database, when calculating each detection
Between insulator surface contamination increment in section；
S5：Insulator surface contamination increment in each detection time section is overlapped, obtains continuing the contamination period
The total contamination amount of insulator surface.
Further, the atmospheric environmental parameters further include the wind speed of atmospheric environment；
By the real-time wind speed of acquisition and Real-Time Atmospheric filth particle size and unit interval insulator contamination amount database
It is compared, obtains current insulator surface contamination amount.
Further, in the step S4, the calculation formula of the insulator surface contamination increment in each detection time section is
Wherein, cp0On the basis of mass concentration；cpi(dp) it is that grain size is d in the i-th periodpThe corresponding quality of filthy particle
Concentration；ViFor the wind speed of the i-th period；tiFor the duration of the i-th period；ρm(Vi,dp) on the basis of under mass concentration, wind speed is
Vi, grain size dpIn the case of, the unit interval contamination amount of insulator surface；dpMFor the Atmospheric particulates grain in the i-th period
Diameter maximum value；ΔΦmiFor the i-th period insulator surface contamination increment.
Further, in the step S5, the calculation formula for continuing the total contamination amount of insulator surface of contamination period is：
Wherein, N refers to is divided into N number of detection time section by the lasting contamination period；H is the temporal summation of N number of detection time section；
Φm(H) it is to continue the final contamination amount that air filth particle is generated in insulator surface under the contamination H times.
Further, in the step S2 in atmospheric environmental parameters air filth particle size and mass concentration carry out
Pretreatment forms filthy granular mass score-grain size continuous function：
I-th (1≤i≤N) is set in the period, grain size is less than d in airpFilthy particle mass fraction be λi(dp)：
Wherein, d0For the benchmark grain size of filthy particle；λi(dp) it is in the i-th period, grain size is less than d in airpFilth
The mass fraction of particle；ci(dp) it is in the i-th period, grain size is less than d in airpFilthy particle mass concentration；ci(d0)
For in the i-th period, grain size is less than d in air0Filthy particle mass concentration；
It sets under atmospheric environment filth, the relationship of air filth granular mass score and grain size meets Rosin-Rammer points
Cloth：
Wherein, n1For distribution characteristics index；n2For distribution characteristics coefficient；
Bring the air filth particulate matter quality concentration of the different-grain diameter collected in the i-th period into (3) and (4) formula,
N is calculated1And n2Value；By n1And n2Value bring (4) formula into, obtain air filth granular mass in the i-th period point
Number-grain size continuous function；
Further, carrying out sliding-model control to filthy granular mass score-grain size continuous function in the step S2 includes
To grain size dpEquidistantly change by fixed variable, bring (4) formula into (3) formula, obtains particle mass concentration-grain size discrete relationship collection
It closes；
The calculation formula of particle mass concentration is in the particle mass concentration-grain size discrete relationship set：
Wherein, Δ dpFor the fixed variable of the filthy grain diameter of sliding-model control, cpi(dp) it is grain size in the i-th period
For dpThe corresponding mass concentration of filthy particle；
The step 4 is less than the quality of the filthy particle of benchmark grain size according to grain size in each detection time section of actual acquisition
The grain size of concentration and air filth particle calls the corresponding big of (5) formula in particle mass concentration-grain size discrete relationship set
Gas filth particle mass concentration.
Further, further include before the step S4：
S3：In different wind speed under the different atmospheric environment of filthy particle size, sink to pollution severity of insulators particle
Product carries out simulation calculation, construction unit's time insulator contamination amount database；
The step S4 insulate the real-time wind speed of acquisition and Real-Time Atmospheric filth particle size and unit interval subproduct
Dirt amount database is compared, and current insulator surface contamination amount is obtained.
Further, in the step S3, the difference wind speed under the different atmospheric environment of filthy particle size, to exhausted
Edge surface filth particle deposition carries out simulation calculation：
With Comsol multiple physical field finite element softwares, in preset wind speed ViWith filthy particle size dpBig compression ring
Under border, insulator ambient static electricity field and flow field steady-state distribution are emulated；
Utilize the particles track module of Comsol multiple physical field finite element softwares, simulation calculation electric field, flow field comprehensive function
Under filthy particle move deposition process, obtain in the unit interval, preset grain size dp, wind speed ViCorresponding insulator surface product
Dirt amount ρm(Vi,dp), it is created as preset wind speed Vi, grain size dpCorresponding unit interval insulator contamination amount database.
Beneficial effects of the present invention：The present invention to collected atmospheric parameter by carrying out data fitting, discretization, emulation
Deng processing, the discrete relationship set list and position time insulator contamination amount database of atmospheric environmental parameters are established, to easily
According to the atmospheric parameter of acquisition, the air filth particle mass concentration in particle mass concentration-grain size discrete relationship set is called
With the unit interval insulator surface contamination amount in unit interval insulator contamination amount database, calculates and continue the contamination period
The total contamination amount of insulator surface.The present invention does not need tissue manpower and carries out live insulator dirty degree measurement, it is only necessary to conventional
Atmospheric environmental parameters detect, and to predict insulator surface contamination amount, while having saved human and material resources, realize
Contamination dynamic prediction obtains power transmission and distribution external insulation pollution state.
Description of the drawings
The invention will be further described with reference to the accompanying drawings and examples：
Fig. 1 is flow chart of the method for the present invention.
Specific implementation mode
As shown in Figure 1, a kind of insulator contamination prediction technique based on atmospheric environmental parameters provided by the invention, including under
State step：
S1：Acquire atmospheric environmental parameters, wherein atmospheric environmental parameters include that air filth particle size and quality are dense
Degree.
TSP, PM10 and PM2.5 are three kinds of common normal atmosphere filth particles, and the standard and method of acquisition are ripe.
Wherein, TSP is the abbreviation of English Total Suspended Particulate, i.e. overall suspended pellet, is
Grain size is less than 100 μm of air filth particle；
The abbreviation that PM in PM10 and PM2.5 is English Particulate Mater, i.e. particulate matter.
Wherein, PM10 is the air filth particulate matter that grain size is less than 10 μm；PM2.5 is that air of the grain size less than 2.5 μm is dirty
Dirty particulate matter.
Therefore, in the present embodiment, the lasting contamination period is divided into N number of detection time section, acquires i-th of detection time
The mass concentration of tri- kinds of air filth particulate matters of TSP, PM10 and PM2.5 of section.
S2：To in atmospheric environmental parameters air filth particle size and mass concentration carry out pretreatment and form filthy
Grain mass fraction-grain size continuous function, and carry out sliding-model control again to the continuous function and form particle mass concentration-grain size
Discrete relationship set；
S4：According to the atmospheric parameter of acquisition, the air obtained in particle mass concentration-grain size discrete relationship set is filthy
Insulator surface contamination amount in particle mass concentration and calling unit interval insulator contamination amount database, when calculating each detection
Between insulator surface contamination increment in section；
S5：Insulator surface contamination increment in each detection time section is overlapped, obtains continuing the contamination period
The total contamination amount of insulator surface carries out data fitting, discretization, emulation etc. by the above method to collected atmospheric parameter
Processing, establishes the discrete relationship set list and position time insulator contamination amount database of atmospheric environmental parameters, thus easily root
According to the atmospheric parameter of acquisition, call air filth particle mass concentration in particle mass concentration-grain size discrete relationship set and
Unit interval insulator surface contamination amount in unit interval insulator contamination amount database calculates and continues the exhausted of contamination period
Edge total surface contamination amount.The present invention does not need tissue manpower and carries out live insulator dirty degree measurement, it is only necessary to which conventional is big
Compression ring border parameter detecting while having saved human and material resources, realizes product to predict insulator surface contamination amount
Dirty dynamic prediction obtains power transmission and distribution external insulation pollution state.
In the present embodiment, in the step S4, the calculation formula of the insulator surface contamination increment in each detection time section
For
Wherein, cp0On the basis of mass concentration, take 15mg/m3；cpi(dp) it is that grain size is d in the i-th periodpFilthy particle
Corresponding mass concentration；ViFor the wind speed of the i-th period；tiFor the duration of the i-th period；ρm(Vi,dp) on the basis of mass concentration
Under, wind speed Vi, grain size dpIn the case of, the unit interval contamination amount of insulator surface；dpMFor the air in the i-th period
Particle size maximum value；ΔΦmiFor the i-th period insulator surface contamination increment.
In the step S5, the calculation formula for continuing the total contamination amount of insulator surface of contamination period is：
Wherein, N refers to is divided into N number of detection time section by the lasting contamination period；H is the temporal summation of N number of detection time section；
Φm(H) it is to continue the final contamination amount that air filth particle is generated in insulator surface under the contamination H times.
In the present embodiment, to the air filth particle size and mass concentration in atmospheric environmental parameters in the step S2
Carrying out the filthy granular mass score-grain size continuous function of pretreatment formation includes：
I-th (1≤i≤N) is set in the period, grain size is less than d in airpFilthy particle mass fraction be λi(dp)：
Wherein, d0For the benchmark grain size of filthy particle, unit is μm；D in the present embodiment0Take 100 μm；λi(dp) it is i-th
In period, grain size is less than d in airpFilthy particle mass fraction；ci(dp) it is in the i-th period, grain size is small in air
In dpFilthy particle mass concentration；ci(d0) it is in the i-th period, grain size is less than d in air0Filthy particle quality
Concentration.
In the present embodiment, ci(d0) i.e. ci(100), it is the mass concentration of TSP in the i-th period.
It sets under atmospheric environment filth, the relationship of air filth granular mass score and grain size meets Rosin-Rammer points
Cloth：
Wherein, n1For distribution characteristics index；n2For distribution characteristics coefficient.
In conjunction with (3) and (4) formula, according to TSP, PM10, PM2.5 air filth particulate matter quality concentration in the i-th period
Three data points of (4) formula of acquisition：
Wherein, Ci(100)、Ci(10)、Ci(2.5) it is respectively TSP, PM10, PM2.5 air filth particle in the i-th period
Amount of substance concentration, unit mg/m3。
(6), (7) and (8) formula of calculating, obtains n1And n2Value；By n1And n2Value bring (4) formula into, obtained for the i-th period
Interior air filth granular mass score-grain size continuous function；
It includes to grain size to carry out sliding-model control to filthy granular mass score-grain size continuous function in the step S2
dpEquidistantly change by fixed variable, bring (4) formula into (3) formula, obtains particle mass concentration-grain size discrete relationship set；
The calculation formula of particle mass concentration is in the particle mass concentration-grain size discrete relationship set：
Wherein, Δ dpFor the fixed variable of the filthy grain diameter of sliding-model control, cpi(dp) it is grain size in the i-th period
For dpThe corresponding mass concentration of filthy particle.
In the present embodiment, 1 μm≤dp≤ 100 μm, Δ dp1 μm is taken, particle mass concentration-grain size discrete relationship collection is combined into：
{cpi(dp)|cpi(dp)≈ci(d0)[λ(dp)-λ(dp-Δdp)], 1 μm≤dp≤ 100 μm, dp∈ N, Δ dp=1 μm }
(9)
Specifically, the calculation formula of each element is in particle mass concentration-grain size discrete relationship set：
In the present embodiment, grain size d is obtainedpParticle mass concentration-grain size discrete relationship that value range is 1 μm to 100 μm
Set is predicted to call for insulator contamination, i.e., the described step 4 is small according to grain size in air in each detection time section of actual acquisition
In the grain size of the mass concentration and the air filth particle to be called of the filthy particle of benchmark grain size, call granular mass dense
The corresponding air filth particle mass concentration of (10) formula in degree-grain size discrete relationship set.
In the present embodiment, when acquiring atmospheric parameter, the quality for the air filth particulate matter that some determines grain size is acquired
Concentration, operate relative difficulty, but acquires all air filth particulate matters that grain size is less than or equal to a certain determining particle size values
Mass concentration be conventional ripe mode of operation, easy to operate and acquisition parameter is accurate and reliable.In the present embodiment, adopt
The mass concentration of TSP, PM10 and PM2.5 of collection are exactly to be less than or equal to certain in the upper common several acquisition grain sizes of meteorologic parameter acquisition
Determine the mass concentration of the air filth particulate matter of particle size values.The mass concentration for acquiring TSP, PM10 and PM2.5 is various to solve
The mode of the mass concentration of the air filth particulate matter of grain size is simple and practicable, has popularity.
It is filthy less than or equal to all air of a certain determining particle size values will to acquire grain size by sliding-model control for the present embodiment
The mass concentration of particulate matter is converted to the mass concentration for the air filth particulate matter that grain size is a certain determining value, not only simplifies to big
The acquisition operations of gas environmental parameter, and mass concentration corresponding with air filth particle size has been solved, for calculating insulation
Sublist area dirt increment, easy to operate and acquisition parameter are accurate and reliable.
The present embodiment does not need tissue manpower and carries out live insulator dirty degree measurement, it is only necessary to be less than or equal to certain to grain size
All air filth particulate matter quality concentration of particle size values carry out conventional detection, pass through the matter to detecting air filth particulate matter
Amount concentration and corresponding grain size carry out pretreatment and sliding-model control, you can obtain for calculating the insulation in each detection time section
The mass concentration of the corresponding air filth particulate matter of particle size values of the determination of sublist area dirt increment, has saved human and material resources, letter
It is single easy.
Further include before the step S4：
S3：In different wind speed under the different atmospheric environment of filthy particle size, sink to pollution severity of insulators particle
Product carries out simulation calculation, construction unit's time insulator contamination amount database.
The step S4 insulate the real-time wind speed of acquisition and Real-Time Atmospheric filth particle size and unit interval subproduct
Dirt amount database is compared, and current insulator surface contamination amount is obtained.
In the step S3, the difference wind speed under the different atmospheric environment of filthy particle size, to the sublist that insulate
Face filth particle deposition carries out simulation calculation：
With Comsol multiple physical field finite element softwares, in preset wind speed ViWith filthy particle size dpBig compression ring
Under border, insulator ambient static electricity field and flow field steady-state distribution are emulated.
In the present embodiment, wind speed ViIt is preset as 1-5m/s, is divided into 0.2m/s；Grain size dpIt is preset as 1-50 μm, is divided into 1 μ
m。
Utilize the particles track module of Comsol multiple physical field finite element softwares, simulation calculation electric field, flow field comprehensive function
Under filthy particle move deposition process, obtain in the unit interval, preset grain size dp, wind speed ViCorresponding insulator surface product
Dirt amount ρm(Vi,dp), it is created as preset wind speed Vi, grain size dp(wind speed Vi1-5m/s is taken, is divided into 0.2m/s；Grain size dpTake 1-
100 μm, it is divided into 1 μm) corresponding unit interval insulator contamination amount database, it predicts to call for insulator contamination, i.e. step
The calling of S4.
It illustrates further below：
In unit interval insulator contamination amount database, the wind speed V of an atmospheric environmentiWith an air filth particle
Object grain size dpA corresponding insulator surface contamination amount ρm(Vi,dp)
By the real-time wind speed V of collected detection time sectioniWith real-time air filth particle size dpWith the unit interval
Insulator contamination amount database is compared, and same wind speed V is foundiWith air filth particle size dp, i.e. acquisition pair
The current insulator surface contamination amount answered.
Citing further illustrates below：
When collected real-time wind speed is 3m/s, and real-time air filth grain diameter is 55 μm, (3m/s, 55 μ are brought into
M) it is compared in unit interval insulator contamination amount database, if the wind speed with unit interval insulator contamination amount database
It is identical with air filth particle size, then it can be obtained in unit interval insulator contamination amount database and (3m/s, 55 μm)
Corresponding unit interval insulator surface contamination amount ρm(3,55)。
It, can because the wind speed, grain size in unit interval insulator contamination amount database are centrifugal pump in the present embodiment
Input (V can occuri,dp) with wind speed, grain size can not be corresponding in database situation.As input (Vi,dp) call the unit interval exhausted
When edge subproduct dirt amount database, (the V of inputi,dp) with wind speed, grain size in database can not to it is corresponding when searching data library in
(Vi,dp) four closest points unit interval contamination amount database, (V is acquired by linear interpolation method approximationi,dp) right
The unit interval contamination amount answered.
Citing further illustrates below：
When collected real-time wind speed is 3.5m/s, and Real-Time Atmospheric filth particle size is 55.4 μm, bring into
It is compared in (3.5m/s, 55.4 μm) to unit interval contamination amount database, without corresponding wind speed and air filth particulate matter
Particle size data.At this point, in searching data with 4 (3.5m/s, 55.4 μm) closest points, i.e. (3m/s, 55 μm), (3m/s, 56
μm), (4m/s, 55 μm), (4m/s, 56 μm).This 4 points are brought into unit interval contamination amount database and are compared, are obtained
The corresponding unit interval insulator surface contamination amount ρ of this four pointsm(3,55), ρm(3,56), ρm(4,55), ρm(4,56).Pass through
ρ is acquired using the method for linear interpolation method to this four unit interval insulator surface contamination amountsmThe value of (3.5,55.4), meter
Calculation process is as follows：
In the present embodiment, unit interval insulator contamination amount database is once established, in each detection time section, so that it may
The grain size of each detection time section collected real-time wind speed and Real-Time Atmospheric filth particulate matter, with unit interval insulator contamination
Amount database is compared, and corresponding unit interval insulator contamination amount is directly acquired, without in each detection time Duan Zaichong
It rebuilds in vertical unit interval insulator contamination amount database, in this way while ensureing to calculate accuracy, simplifies calculating process.
When the insulator contamination amount of actual prediction atmospheric environmental parameters, the present invention is filthy according to the wind speed and air detected
The grain size of particulate matter directly compares the insulation subproduct for obtaining current sensing time section with unit interval insulator contamination amount database
Dirt is measured, and is not needed tissue manpower and is carried out live insulator dirty degree measurement, it is only necessary to conventional atmospheric environmental parameters detection, next pair
Insulator surface contamination amount is predicted, while having saved human and material resources, is realized contamination dynamic prediction, is obtained transmission ＆ distribution
Electric external insulation pollution state.
Finally illustrate, the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although with reference to compared with
Good embodiment describes the invention in detail, it will be understood by those of ordinary skill in the art that, it can be to the skill of the present invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of technical solution of the present invention, should all be covered at this
In the right of invention.
Claims (8)
1. a kind of insulator contamination prediction technique based on atmospheric environmental parameters, it is characterised in that：Include the following steps：
S1：Acquire atmospheric environmental parameters, wherein atmospheric environmental parameters include air filth particle size and mass concentration；
S2：To in atmospheric environmental parameters air filth particle size and mass concentration carry out pretreatment and form filthy particle matter
Score-grain size continuous function is measured, and it is discrete to carry out sliding-model control formation particle mass concentration-grain size again to the continuous function
Set of relationship；
S4：According to the atmospheric parameter of acquisition, the air filth particle in particle mass concentration-grain size discrete relationship set is obtained
Insulator surface contamination amount in mass concentration and calling unit interval insulator contamination amount database, calculates each detection time section
Interior insulator surface contamination increment；
S5：Insulator surface contamination increment in each detection time section is overlapped, the insulation for continuing the contamination period is obtained
Sub- total surface contamination amount.
2. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 1, it is characterised in that：It is described big
Gas environmental parameter further includes the wind speed of atmospheric environment；
The real-time wind speed of acquisition and Real-Time Atmospheric filth particle size are carried out with unit interval insulator contamination amount database
Comparison, obtains current insulator surface contamination amount.
3. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 1, it is characterised in that：The step
In rapid S4, the calculation formula of the insulator surface contamination increment in each detection time section is
Wherein, cp0On the basis of mass concentration；cpi(dp) it is that grain size is d in the i-th periodpThe corresponding quality of filthy particle it is dense
Degree；ViFor the wind speed of the i-th period；tiFor the duration of the i-th period；ρm(Vi,dp) on the basis of under mass concentration, wind speed Vi、
Grain size is dpIn the case of, the unit interval contamination amount of insulator surface；dpMMost for the grain-size of atmospheric particulate substance in the i-th period
Big value；ΔΦmiFor the i-th period insulator surface contamination increment.
4. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 3, it is characterised in that：The step
In rapid S5, the calculation formula for continuing the total contamination amount of insulator surface of contamination period is：
Wherein, N refers to is divided into N number of detection time section by the lasting contamination period；H is the temporal summation of N number of detection time section；Φm
(H) it is to continue the final contamination amount that air filth particle is generated in insulator surface under the contamination H times.
5. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 1, it is characterised in that：The step
In rapid S2 in atmospheric environmental parameters air filth particle size and mass concentration carry out pretreatment and form filthy particle matter
Measuring score-grain size continuous function includes：
I-th (1≤i≤N) is set in the period, grain size is less than d in airpFilthy particle mass fraction be λi(dp)：
Wherein, d0For the benchmark grain size of filthy particle；λi(dp) it is in the i-th period, grain size is less than d in airpFilthy particle
Mass fraction；ci(dp) it is in the i-th period, grain size is less than d in airpFilthy particle mass concentration；ci(d0) it is i-th
In period, grain size is less than d in air0Filthy particle mass concentration；
It sets under atmospheric environment filth, the relationship of air filth granular mass score and grain size meets Rosin-Rammer distributions：
Wherein, n1For distribution characteristics index；n2For distribution characteristics coefficient；
It brings the air filth particulate matter quality concentration of the different-grain diameter collected in the i-th period into (3) and (4) formula, calculates
Obtain n1And n2Value；By n1And n2Value bring (4) formula into, obtain air filth granular mass score-grain in the i-th period
Diameter continuous function.
6. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 5, it is characterised in that：The step
It includes to grain size d to carry out sliding-model control to filthy granular mass score-grain size continuous function in rapid S2pBy fixed variable etc.
Away from variation, (4) formula is brought into (3) formula, obtain particle mass concentration-grain size discrete relationship set；
The calculation formula of particle mass concentration is in the particle mass concentration-grain size discrete relationship set：
Wherein, Δ dpFor the fixed variable of the filthy grain diameter of sliding-model control, cpi(dp) it is that grain size is d in the i-th periodp
The corresponding mass concentration of filthy particle；
The step 4 is less than the mass concentration of the filthy particle of benchmark grain size according to grain size in each detection time section of actual acquisition
With the grain size of air filth particle, call the corresponding air of (5) formula in particle mass concentration-grain size discrete relationship set dirty
Dirty particle mass concentration.
7. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 2, it is characterised in that：The step
Further include before rapid S4：
S3：In different wind speed under the different atmospheric environment of filthy particle size, pollution severity of insulators particle is deposited into
Row simulation calculation, construction unit's time insulator contamination amount database；
The step S4 is by the real-time wind speed of acquisition and Real-Time Atmospheric filth particle size and unit interval insulator contamination amount
Database is compared, and current insulator surface contamination amount is obtained.
8. the insulator contamination prediction technique based on atmospheric environmental parameters according to claim 7, it is characterised in that：The step
In rapid S3, the difference wind speed deposits pollution severity of insulators particle under the different atmospheric environment of filthy particle size
Carrying out simulation calculation includes：
With Comsol multiple physical field finite element softwares, in preset wind speed ViWith filthy particle size dpAtmospheric environment under,
Insulator ambient static electricity field and flow field steady-state distribution are emulated；
Using the particles track module of Comsol multiple physical field finite element softwares, under simulation calculation electric field, flow field comprehensive function
Filthy particle moves deposition process, obtains in the unit interval, preset grain size dp, wind speed ViCorresponding insulator surface contamination amount
ρm(Vi,dp), it is created as preset wind speed Vi, grain size dpCorresponding unit interval insulator contamination amount database.
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