CN105067745B - Method for detecting dirty components through ion pairing based on fuzzy clustering - Google Patents
Method for detecting dirty components through ion pairing based on fuzzy clustering Download PDFInfo
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- CN105067745B CN105067745B CN201510464591.2A CN201510464591A CN105067745B CN 105067745 B CN105067745 B CN 105067745B CN 201510464591 A CN201510464591 A CN 201510464591A CN 105067745 B CN105067745 B CN 105067745B
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 239000012212 insulator Substances 0.000 claims abstract description 41
- 239000012086 standard solution Substances 0.000 claims abstract description 30
- 239000000463 material Substances 0.000 claims abstract description 23
- 239000000243 solution Substances 0.000 claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 238000004140 cleaning Methods 0.000 claims abstract description 8
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 8
- 231100000719 pollutant Toxicity 0.000 claims abstract description 8
- 238000009825 accumulation Methods 0.000 claims abstract description 5
- 238000001914 filtration Methods 0.000 claims abstract description 3
- 239000000203 mixture Substances 0.000 claims description 27
- 238000011109 contamination Methods 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 7
- 239000003086 colorant Substances 0.000 claims description 6
- 238000004255 ion exchange chromatography Methods 0.000 claims description 6
- 238000002347 injection Methods 0.000 claims description 5
- 239000007924 injection Substances 0.000 claims description 4
- 238000012512 characterization method Methods 0.000 claims description 3
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 claims description 2
- 238000004321 preservation Methods 0.000 claims description 2
- 241000668709 Dipterocarpus costatus Species 0.000 claims 1
- 150000002500 ions Chemical class 0.000 abstract description 52
- 238000011088 calibration curve Methods 0.000 abstract 1
- 230000008021 deposition Effects 0.000 abstract 1
- 238000005342 ion exchange Methods 0.000 abstract 1
- 230000014759 maintenance of location Effects 0.000 abstract 1
- 238000011160 research Methods 0.000 abstract 1
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- 150000001875 compounds Chemical class 0.000 description 5
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- 238000009413 insulation Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 150000001768 cations Chemical class 0.000 description 3
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- 150000001450 anions Chemical class 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 150000003839 salts Chemical class 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- MYEJFUXQJGHEQK-ALRJYLEOSA-N Proscillaridin Chemical compound O[C@@H]1[C@H](O)[C@@H](O)[C@H](C)O[C@H]1O[C@@H]1C=C2CC[C@H]3[C@@]4(O)CC[C@H](C5=COC(=O)C=C5)[C@@]4(C)CC[C@@H]3[C@@]2(C)CC1 MYEJFUXQJGHEQK-ALRJYLEOSA-N 0.000 description 1
- 229910052783 alkali metal Inorganic materials 0.000 description 1
- -1 alkali metal salt Chemical class 0.000 description 1
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Abstract
The invention provides a method for detecting dirty components through ion pairing based on fuzzy clustering. The method comprises the following steps: establishing a sampling point, and carrying out natural dirt retention on the surfaces on three and above different materials of line insulators to be detected; preparing a standard solution, and injecting the standard solution to an ion exchange chromatograph to obtain the standard chromatogram of all ions of the standard solution and a calibration curve of a relationship between the peak area and the concentration; and cleaning dirt on the surfaces of the insulators to be detected, standing a dirt solution obtained after cleaning, filtering, and injecting the filtered dirt solution to the ion chromatograph. The method is based on a fuzzy clustering theory, considers the deposition characteristics of all components of the natural dirt, and is based on practical pollution of a region to be detected and the accumulation characteristics of pollutants on the surfaces of different materials of insulators, so the objectivity and the repeatability of an ion pairing result are guaranteed, detection of the dirty components and researches of the pollution flashover mechanism are convenient, realization of effective predication of the pollution flashover voltage is facilitated, and the continuous and stable running of an electric power system is guaranteed.
Description
Technical field
The present invention relates to power domain, more particularly, to a kind of filthy composition side of ion pairing detection based on fuzzy clustering
Method.
Background technology
Because industrial continuous development and ecological disruption are serious, the pollution level of environment is increasingly sharpened, in normal work electricity
There is flashover in pressure, electrical apparatus external insulation and line insulation in filthy environment, caused the general of electrical apparatus insulation worker
All over attention, the pollution of power equipment external insulation and line insulation causes greatly not only to safe, the normal operation of power system
Threat and also the generation of pollution flashover accident can cause the massive losses of national economy, particularly high pressure and ultrahigh voltage power
Net, once there is pollution flashover accident, impact face is wider, and loss is bigger,
At present, study commonly used equivalence both at home and abroad to cover salt density esdd to characterize pollution level.However, due to differently
The filthy component difference in area, and different filth composition is different to the contribution of insulator contamination voltage, is assessed using equivalent salt density
The method of pollution degree exposes many deficiencies, leads to not pollution flashover voltage is effectively predicted.Because not accounting for nature
The pollution flashover mechanism of filthy various composition and feature.
In recent years, survey quantifier elimination to naturally filthy ion component to have developed, but the principle of zwitterion pairing is not yet
Form unified standard, the artificial pair principle commonly used at present is: according to the quantitative relation of zwitterion, solution ph etc. in solution
Parameter, first affects significance order from big to small according on pollution flashover voltage, first matches monovalence alkali metal salt, matches diatomic base afterwards
Slaine, then according to compound solubility order from big to small matches gained classes of compounds and component.This matching method
There is larger difference because testing crew Subjective is different, and the Repeatability and Reproducibility matched strong it is impossible to objective reality
The filthy chemical composition of ground measurement power system external insulation.
Accordingly, it would be desirable to a kind of method of the new filthy composition of ion pairing detection, both can guarantee that the visitor of ion pairing result
The property seen and repeatability, can conveniently study pollution flashover mechanism and the characteristic of the filthy various filth compositions of nature again, realize to pollution flashover electricity
Effective prediction of pressure is it is ensured that power system security reliability service.
Content of the invention
In view of this, the present invention provides a kind of detection of the ion pairing based on fuzzy clustering filthy compositions, method, to solve
The problems referred to above.
The filthy compositions, method of ion pairing detection based on fuzzy clustering that the present invention provides, comprising:
B. set up sampled point, and treat survey line road insulator surface in sampled point and carry out Natural contamination,
C. described pollution severity of insulators to be measured is carried out, and is filtered after the soiling solution standing after cleaning,
D. configuration standard solution, and standard solution is injected ion exchange chromatography instrument, obtain each ion of standard solution
Reference colours spectrogram and the calibration trace of peak area and concentration relationship,
E. by the soiling solution injection ion chromatograph after the cleaning of insulator to be measured, its filthy ion component concentration, root are measured
According to reference colours spectrogram and peak area and the calibration trace of concentration relationship of each ion of corresponding solution, obtain insulator surface dirty
Dirty zwitterion concentration,
F. with each zwitterion for being classified object, the amount of the material being accumulated in insulator surface with each ion is for referring to
Mark, sets up the fuzzy resembling relation of object of classification, according to the fuzzy correlation coefficient between each zwitterion, zwitterion is joined
Right, the carrying out of filthy composition is detected.
Further, described step f also includes:
With each zwitterion for being classified object, set up the fuzzy resembling relation of each object to be sorted, and obtain each ion
Between fuzzy similarity matrix, represented with r:
Further, described fuzzy similarity matrix r is:
Wherein, with each zwitterion for being classified object, obtain to be sorted entirety domain u=all the moon detecting,
Cation }, used ui(i=1,2 ..., n) represent, then domain u={ u1,u2,…,un}.With ion in different insulative sublist
The amount (mmol) of the material that face is accumulated, as individual index, uses xk(k=1,2 ..., m) represent, k is the insulation of unlike material
Son, then each object to be sorted can be by one group of data characterization ui=(xi1,xi2,…,xim)；In formula, rijFor ion uiWith ion uj
Fuzzy resembling relation；xikFor ion uiThe amount of the material of accumulation on insulator k；xjkFor ion ujInsulator k accumulates
Material amount；M is the quantity of unlike material insulator.
Further, step e also includes:
E1. using standard solution, effective calibration trace is verified, if each ion is calculated by calibration trace gained
Concentration and actual concentrations error < 5%, then judge calibration trace as effective calibration trace；Otherwise need to undesirable set of correction
Curve is individually verified or is regenerated；
If the arbitrary filth ion concentration e2. obtaining is higher than the maximum concentration of standard solution, to be measured for this ion pair
Solution is diluted measuring again, until described filth ion concentration falls in concentration of standard solution interval；
E3. the zwitterion concentration of pollution severity of insulators is recorded using ion exchange chromatography.
Further, also include before step b
A. pollution parameters are gathered, described pollution parameters include landform, weather, primary pollution source and the mainly dirt in area to be measured
Dye thing information.
Further, the selection of standard solution described in step d is with the landform in area to be measured, weather, primary pollution source, main
The pollution parameters such as pollutant are foundation.
Further, step c also includes carrying out constant volume preservation to the soiling solution after filtering.
Further, when ion pairing detects filthy composition, such as local major pollutants are entered with row major pairing or arranges
Remove, then with each zwitterion between fuzzy correlation coefficient as foundation, zwitterion is matched.
Further, step b also include choose three kinds or more unlike material line insulator carry out Natural contamination.
Further, the time of described Natural contamination is no less than 6 months.
Beneficial effects of the present invention: the present invention is based on Fuzzy Clustering Theory it is considered to the pollution flashover machine of naturally filthy various composition
System and feature, by be measured area actual pollution and pollutant in the characteristic of accumulation of unlike material insulator surface based on, protect
The objectivity of card ion pairing result and repeatability, are easy to detect filthy composition and study its pollution flashover mechanism, be conducive to reality
The now effective prediction to pollution flashover voltage is it is ensured that the continual and steady operation of power system.
Brief description
The invention will be further described with reference to the accompanying drawings and examples:
Fig. 1 is the principle schematic of the present invention.
Specific embodiment
The invention will be further described with reference to the accompanying drawings and examples: Fig. 1 is the principle schematic of the present invention.
As shown in figure 1, the filthy compositions, method of ion pairing detection based on fuzzy clustering that the present invention provides, comprising:
A. pollution parameters are gathered, described pollution parameters include landform, weather, primary pollution source and the mainly dirt in area to be measured
Dye thing information；
B. set up sampled point, and treat survey line road insulator surface in sampled point and carry out Natural contamination,
C. described pollution severity of insulators to be measured is carried out, and is filtered after the soiling solution standing after cleaning,
D. configuration standard solution, and standard solution is injected ion exchange chromatography instrument, obtain each ion of standard solution
Reference colours spectrogram and the calibration trace of peak area and concentration relationship,
E. by the soiling solution injection ion chromatograph after the cleaning of insulator to be measured, its filthy ion component concentration, root are measured
According to reference colours spectrogram and peak area and the calibration trace of concentration relationship of each ion of corresponding solution, obtain insulator surface dirty
Dirty zwitterion concentration,
F. with each zwitterion for being classified object, the amount of the material being accumulated in insulator surface with each ion is for referring to
Mark, sets up the fuzzy resembling relation of object of classification, according to the fuzzy correlation coefficient between each zwitterion, zwitterion is joined
Right, the carrying out of filthy composition is detected.
Wherein, step e also includes
E1. using standard solution, effective calibration trace is verified, if each ion is calculated by calibration trace gained
Concentration and actual concentrations error < 5%, then judge calibration trace as effective calibration trace；Otherwise need to undesirable set of correction
Curve is individually verified or is regenerated.
If the arbitrary filth ion concentration e2. obtaining is higher than the maximum concentration of standard solution, to be measured for this ion pair
Solution is diluted measuring again, until described filth ion concentration falls in concentration of standard solution interval；
E3. the zwitterion concentration of pollution severity of insulators is recorded using ion exchange chromatography.
In the present embodiment, domain u={ all inspections of entirety to be sorted with each zwitterion for being classified object, are obtained
The anions and canons measuring }, used ui(i=1,2 ..., n) represent, then domain u={ u1,u2,…,un}.With ion in difference
The amount (mmol) of the material that insulator surface is accumulated, as individual index, uses xj(j=1,2 ..., m) represent, then each treat point
Class object can be by one group of data characterization ui=(xi1,xi2,…,xim).
Because each index dimension is identical, it is the molal quantity of filthy component ion, the standardization of dimension need not be gone.
In conjunction with practical situation, set up the fuzzy resembling relation r (u of each object to be sorted using correlation coefficient processi,uj)=rij, obtain each
Interionic fuzzy similarity matrix r, wherein:
Element in fuzzy similarity matrix r embodies each interionic fuzzy correlation.In fuzzy similarity matrix r, cloudy
Fuzzy correlation coefficient between ion and anion (or cation and cation) only represents that two kinds of ions are derived from same polluter
Probability size, ion pairing is no directly affected；And the fuzzy correlation property coefficient between zwitterion not only represent two kinds from
Son, from the probability of same polluter, also illustrates that two kinds of ions come from the probability of same compound, thus can be by it
Foundation as zwitterion pairing.
In the present embodiment, select type area to set up measurement sampled point, hang three kinds and above difference table in measurement point
The line insulator of facestock material, such as porcelain insulator, glass insulator, composite insulator etc., carry out Natural contamination, the contamination time is not
Less than 6 months.Using the insulator of three kinds and above unlike material, and ensure to make the insulator surface contamination of unlike material when
Between, can effectively improve the accuracy of testing result.
In the present embodiment, based on the ion pairing principle of fuzzy clustering it is: combine local actual pollution condition, to some
Special filth enter row major pairing or exclude, then with each zwitterion between fuzzy correlation coefficient as foundation, zwitterion is entered
Row pairing.If several interionic fuzzy correlation coefficients are more close, should consider compound solubility, ion concentration,
Zwitterion relation, solution ph determine the pairing order of each compound.
In the present embodiment, the upper and lower surface filth of insulator of the different surfaces material of same collection point is cleaned up,
After standing, soiling solution is filtered, take clear liquid constant volume to preserve to be measured, preferably the, select constant volume capacity to be advisable with 500ml.This enforcement
Example in configuration concentration known standard solution it is preferable that taking five different ions concentration point in ion concentration range, by institute
Obtain each standard solution and inject ion exchange chromatography instrument, obtain the reference colours spectrogram of each ion and the school of peak area and concentration relationship
Positive curve, if chromatogram waveform effect is not good or calibration trace in based on standard solution gained regression equation correlation coefficient
(conventional r2Represent) less than confidence level 99% marginal value 0.92 when, then data is unavailable；The selection of standard solution should be with to be measured
The historical summaries such as the landform in area, weather, primary pollution source, major pollutants and finding are foundation.
In the present embodiment, by each insulator to be measured natural filth solution injection ion chromatograph, measure its filth from
During subconstiuent concentration, if gained ion concentration is higher than the maximum concentration of standard solution, need to treat for this ion
Survey solution to be diluted measuring again, until acquired results fall in concentration of standard solution interval, so can effectively improve survey
Accuracy of measurement；In addition, using the blending constituent standard solution of concentration known, to gained, effective calibration trace verifies, if each ion
Concentration and actual concentrations error < 5% are calculated by calibration trace gained, then calibration trace can use；Otherwise need to nonconforming
Calibration trace individually verified or regenerated.
Finally illustrate, above example only in order to technical scheme to be described and unrestricted, although with reference to relatively
Good embodiment has been described in detail to the present invention, it will be understood by those within the art that, can be to the skill of the present invention
Art scheme is modified or equivalent, the objective without deviating from technical solution of the present invention and scope, and it all should be covered at this
In the middle of the right of invention.
Claims (10)
1. a kind of filthy compositions, method of ion pairing detection based on fuzzy clustering it is characterised in that: include:
B. set up sampled point, and treat survey line road insulator surface in sampled point and carry out Natural contamination；
C. described line insulator surface filth to be measured is carried out, and is filtered after the soiling solution standing after cleaning；
D. preparing standard solution, and standard solution is injected ion exchange chromatography instrument, obtain the standard of each ion of standard solution
Chromatogram and the calibration trace of peak area and concentration relationship；
E. by the soiling solution injection ion chromatograph after the cleaning of insulator to be measured, measure its filthy ion component concentration, according to phase
Answer reference colours spectrogram and peak area and the calibration trace of concentration relationship of each ion of solution, obtain pollution severity of insulators
Zwitterion concentration；
F. with each zwitterion for being classified object, the amount of the material being accumulated in insulator surface with each ion, as index, is built
The fuzzy resembling relation of vertical object of classification, according to the fuzzy correlation coefficient between each zwitterion, matches to zwitterion, right
Filthy composition is detected.
2. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 1 it is characterised in that: institute
State step f also to include:
With each zwitterion for being classified object, set up the fuzzy resembling relation of each object to be sorted, and obtain each interionic
Fuzzy similarity matrix.
3. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 2 it is characterised in that: institute
The element stated in fuzzy similarity matrix is:
Wherein, with each zwitterion for being classified object, obtain to be sorted entirety domain u=all yin, yangs detecting from
Son }, then domain u={ u1,u2,…,un, the amount of the material being accumulated in different insulative sublist face using ion as individual index,
Use xkRepresent, k is the insulator of unlike material, then each object to be sorted can be by one group of data characterization ui=(xi1,xi2,…,
xim)；In formula, rijFor ion uiWith ion ujFuzzy resembling relation；xikFor ion uiThe material of accumulation on insulator k
Amount；xjkFor ion ujThe amount of the material of accumulation on insulator k；M is the quantity of unlike material insulator.
4. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 1 it is characterised in that: step
Rapid e also includes:
E1. using standard solution, effective calibration trace is verified, if each ion calculates concentration by calibration trace gained
With actual concentrations error < 5%, then judge calibration trace as effective calibration trace；Otherwise need to undesirable set of calibration trace
Individually verified or regenerated；
If the arbitrary filth ion concentration e2. obtaining is higher than the maximum concentration of standard solution, it is directed to this ion pair solution to be measured
It is diluted measuring, until described filth ion concentration falls in concentration of standard solution interval again；
E3. the zwitterion concentration of pollution severity of insulators is recorded using ion exchange chromatography.
5. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 1 it is characterised in that: step
Also include before rapid b
A. pollution parameters are gathered, described pollution parameters include landform, weather, primary pollution source and the major pollutants in area to be measured
Information.
6. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 5 it is characterised in that: step
Suddenly choosing of standard solution described in d with the landform in area to be measured, weather, primary pollution source, major pollutants pollution parameters is
Foundation.
7. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 1 it is characterised in that: step
Rapid c also includes carrying out constant volume preservation to the soiling solution after filtering.
8. according to the arbitrary described filthy compositions, method of ion pairing detection based on fuzzy clustering of claim 1-7, its feature
It is: when ion pairing detects filthy composition, local major pollutants are entered with row major pairing or excludes, then with each negative and positive
Interionic fuzzy correlation coefficient is foundation, and zwitterion is matched.
9. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 1 it is characterised in that: step
The line insulator that rapid b also includes choosing more than three kinds unlike materials carries out Natural contamination.
10. the filthy compositions, method of ion pairing detection based on fuzzy clustering according to claim 9 it is characterised in that:
The time of described Natural contamination is no less than 6 months.
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| CN107704655A (en) * | 2017-09-05 | 2018-02-16 | 国网浙江省电力公司电力科学研究院 | A kind of direct current transportation wire filth appraisal procedure and system |
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| WO2003072710A2 (en) * | 2002-02-21 | 2003-09-04 | Eastern Virginia Medical School | Protein biomarkers that distinguish prostate cancer from non-malignant cells |
| CN101403676B (en) * | 2008-10-28 | 2011-08-31 | 华北电力大学 | Insulator hydrophobicity rank amalgamation judging method based on D-S evidence theory |
| CN102867116A (en) * | 2012-08-30 | 2013-01-09 | 常州大学 | Regional water environment priority control pollutant screening method based on health risk |
| CN103674990B (en) * | 2013-09-29 | 2016-08-17 | 广州供电局有限公司 | High-tension insulator filth method for measuring components |
| CN104181148A (en) * | 2014-08-29 | 2014-12-03 | 国家电网公司 | Method for determining soluble contamination components of insulators |
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Effective date of registration: 20231022 Address after: 510620, No. two, No. 2, Tianhe South Road, Guangzhou, Guangdong, Tianhe District Patentee after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Patentee after: Chongqing University Address before: No. 2 Tianhe South 2nd Road, Guangzhou City, Guangdong Province, 510410 Patentee before: GUANGZHOU POWER SUPPLY Co.,Ltd. Patentee before: Chongqing University |
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