CN112649324B - Analysis method for evaluating consistency of non-metallic material for nuclear power station cable - Google Patents

Analysis method for evaluating consistency of non-metallic material for nuclear power station cable Download PDF

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CN112649324B
CN112649324B CN202011598224.9A CN202011598224A CN112649324B CN 112649324 B CN112649324 B CN 112649324B CN 202011598224 A CN202011598224 A CN 202011598224A CN 112649324 B CN112649324 B CN 112649324B
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nuclear power
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cable
pole
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CN112649324A (en
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洪宁宁
刘旌平
张李晶
桂观群
张洪宇
胡诚成
倪勇
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Shanghai Electric Cable Research Institute
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N9/00—Investigating density or specific gravity of materials; Analysing materials by determining density or specific gravity
    • G01N9/36—Analysing materials by measuring the density or specific gravity, e.g. determining quantity of moisture
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
    • G01N21/73—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited using plasma burners or torches
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00—Investigating or analyzing materials by the use of thermal means
    • G01N25/02—Investigating or analyzing materials by the use of thermal means by investigating changes of state or changes of phase; by investigating sintering
    • G01N25/04—Investigating or analyzing materials by the use of thermal means by investigating changes of state or changes of phase; by investigating sintering of melting point; of freezing point; of softening point
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00—Investigating or analyzing materials by the use of thermal means
    • G01N25/02—Investigating or analyzing materials by the use of thermal means by investigating changes of state or changes of phase; by investigating sintering
    • G01N25/12—Investigating or analyzing materials by the use of thermal means by investigating changes of state or changes of phase; by investigating sintering of critical point; of other phase change
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00—Investigating or analyzing materials by the use of thermal means
    • G01N25/20—Investigating or analyzing materials by the use of thermal means by investigating the development of heat, i.e. calorimetry, e.g. by measuring specific heat, by measuring thermal conductivity
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N5/00—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
    • G01N5/04—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid by removing a component, e.g. by evaporation, and weighing the remainder
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/16—Cables, cable trees or wire harnesses

Abstract

The invention provides an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station, which comprises the following steps: 1) Acquiring a performance index measured value of a sample, wherein the sample is a non-metallic material acquired from n sampling positions of a cable of the same nuclear power station; 2) Computing
Figure DDA0002870399320000015
3) Calculating sigma i 、T i (ii) a 4) Will T i And T α (n i ) Comparing and calculating
Figure DDA0002870399320000016
σ′ i (ii) a 5) Calculating C, and mixing C with C α (m) comparing, determining the homogeneous outliers and rejecting the homogeneous outliers; 6) Computing
Figure DDA0002870399320000011
N; 7) Calculate σ' i′ 、
Figure DDA0002870399320000012
v、
Figure DDA0002870399320000013
S i′ (ii) a 8) Will S i′ And S α (m', v) comparison, not storingEntering step 9) at the outlier; removing outliers and then repeating the steps 6), 7) and 8); 9) Computing
Figure DDA0002870399320000014
10 Obtained x ″) max And x ″) min Calculating x Pole(s) Sum and pole error ratio x Pole Percent, judge consistency. The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power station can effectively, quickly and accurately monitor the consistency of the non-metallic material of the cable and the quality identification cable in different batches.

Description

Analysis method for evaluating consistency of non-metallic material for nuclear power station cable
Technical Field
The invention belongs to the technical field of material analysis, relates to an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station, and particularly relates to an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station by adopting multiple parameters.
Background
The cable of the nuclear power station is very harsh in working environment, can bear the comprehensive effects of temperature, nuclear radiation, steam, chemicals, mechanical stress, thermal deformation and the like, and must be ensured to safely operate in the whole design life (the design life required by the third-generation nuclear power station is 60 years). In order to ensure the reliability of the design performance and the safety performance of a product, the quality is controlled by performing a type test on a quality identification cable (simulation piece) of a delivery-inspection cable and performing spot inspection on part of product parameters on a production field at present, but the consistency of the material for actually supplying the cable by each enterprise and the simulation piece cannot be monitored. The spot sampling inspection cannot ensure the quality stability of cables supplied by different enterprises in different batches and cables supplied by different enterprises in the same type. In addition, the type test is long in time, high in cost and generally destructive; there is an urgent need for the regulatory authorities to establish a method capable of quickly and accurately monitoring the consistency of materials.
Chinese patent CN 109709315A discloses a rubber material consistency monitoring method, which judges the consistency of the material by comparing the density of the material of a sampling inspection part or a failure return part with the change rate of one or more performance parameters of a defined material, fourier transform infrared spectroscopy (FTIR), micro international hardness, thermogravimetry (TG), solvent extraction or combustion residue, and has the advantages of small sample amount, short test period and the like; the Chinese patent CN 108333141A rapidly identifies the phenylalanine ester tablets by establishing a near-infrared consistency model, and has the advantages of rapidness, accuracy and no damage to samples; the Chinese patent CN 105588906B realizes the identification of the big fruit red sandalwood species by matching the consistency or similarity of the matching of characteristic peaks in GC-MS 3D fingerprint spectrums of the sample to be detected and the standard big fruit red sandalwood species.
The non-metallic material system for the cable of the nuclear power station is complex and is a homogeneous mixture formed by a high molecular base material, compound inorganic components (a flame retardant, a filler, a plasticizer and the like) and a small amount of auxiliaries (an anti-aging agent and a processing aid). The key components are difficult to be effectively monitored by means of FTIR, GC-MS or simple combination with TG and the like, so that the consistency of the quality identification of the non-metallic materials for the cables and the actual supply of the cables in different batches is difficult to be ensured. Therefore, a set of method specifications capable of effectively, quickly and accurately monitoring the consistency of the non-metallic material for the cable of the nuclear power station needs to be established, the design of a consistency multi-monitoring-parameter system, the specific indexes and ranges of monitoring parameters, and the accuracy (including precision, accuracy and the like) and relevance of the monitoring method are solved, the blank of the consistency monitoring of the non-metallic material for the cable of the nuclear power station is filled, and the effect of monitoring deterrence is realized.
Disclosure of Invention
In view of the above disadvantages of the prior art, the present invention provides an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station, which evaluates the consistency of the non-metallic material for the cable of the nuclear power station through multiple parameters, and can achieve the supervision effect of effectively, quickly and accurately evaluating the consistency of quality-appraising cables and non-metallic materials for cables actually supplied in different batches.
In order to achieve the above objects and other related objects, the present invention provides an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power plant, comprising the steps of:
1) Acquiring a performance index measured value of a sample, wherein the sample is a non-metallic material acquired from n sampling positions of a cable of the same nuclear power station;
2) The ith performance index measurement result of the jth sampling position of the sample is taken as a performance index measurement value x ij Push and press
Formula (1) calculates x ij Average value of the i-th measurement of
Figure BDA0002870399310000021
Formula (1):
Figure BDA0002870399310000022
in the formula (1), j is a sampling position, and j is more than or equal to 1 and less than or equal to n; i is the measurement frequency of the non-rejected statistical outlier, i is more than or equal to 1 and less than or equal to m, and m is the total measurement frequency; x is the number of ij Performing an ith performance indicator measurement for the sample at the jth sampling location;
Figure BDA0002870399310000023
is x ij The ith measurement average of (a); n is i Sample capacity of performance index for all sampling locations of the ith measurement;
3) According to
Figure BDA0002870399310000024
Calculating x according to equation (2) ij Standard deviation σ of the ith measurement of i Calculating x according to equation (3) ij Statistic T of the ith measurement of i ，
Formula (2):
Figure BDA0002870399310000025
formula (3):
Figure BDA0002870399310000026
in the formula (2) or (3), x ij Performing an ith performance indicator measurement for the sample at the jth sampling location;
Figure BDA0002870399310000027
is x ij The ith measurement average of (a); n is i Sample capacity of performance index for all sampling locations of the ith measurement; sigma i Is x ij The standard deviation of the ith measurement of (a); t is i Is x ij Statistics of the ith measurement of (a); x is a radical of a fluorine atom iout Is x ij The outlier of the ith measurement of (a), which is the maximum or minimum;
4) The statistic T obtained in the step 3) i And statistic outlier threshold T α (n i ) Making a comparison when T i ＞T α (n i ) Then, the performance index measurement value corresponding to the outlier measured at the ith time is determined as the statistical outlier and eliminated, so that n is i Is reduced to n' i Let x be ij Becomes x ij′ Calculating x according to equation (4) ij′ Average value of the i-th measurement of
Figure BDA0002870399310000028
Calculating x according to equation (5) ij′ Of the ith measurement of' i ；
Formula (4):
Figure BDA0002870399310000029
formula (5):
Figure BDA00028703993100000210
n 'in the formula (4) or (5)' i Sample capacity, n ' of performance indicators for j ' sampling locations that cull statistical outliers for the ith measurement ' i ≤n i (ii) a j 'is a sampling position for eliminating the statistical outlier, and j' is less than or equal to j; x is the number of ij′ Taking the sample at jthAn ith performance indicator measurement for the sample location;
Figure BDA0002870399310000031
is x ij′ The ith measurement average of (a); n' i Sample capacity of performance index for j' sampling locations of ith measurement; sigma' i Is x ij′ The standard deviation of the ith measurement of (a);
5) Removing the statistical outliers in the step 4) to obtain rho' i Calculating and obtaining the homogeneity C of all standard deviations according to the formula (6), and combining the homogeneity C with a homogeneity outlier critical value C α (m) comparison, when C > C α At (m), σ max The corresponding sample performance index measured value is judged as a homogeneity outlier and is removed, so that the measuring times are reduced from i to i';
formula (6):
Figure BDA0002870399310000032
in the formula (6), i is the measurement frequency of the non-removed statistical outlier, and i is more than or equal to 1 and less than or equal to m; c is the homogeneity of all standard deviations; m is the number of measurements of i; sigma' i Is x ij′ The standard deviation of the ith measurement of (a); sigma max Is σ' i Maximum value of (1);
6) Sample capacity n 'measured according to performance index of ith' time of the sample obtained in steps 4) and 5) at jth 'sampling position' i′ Measuring times i' obtained in the step 5), and then performing performance index measurement at the jth position to obtain a performance index measurement value x again i′j′ Calculating x according to equation (7) i′j′ The average of the i' th measurement of (1)
Figure BDA0002870399310000033
Calculating x according to equation (8) i′j′ Total sample capacity N;
formula (7):
Figure BDA0002870399310000034
formula (8):
Figure BDA0002870399310000035
in the formula (7) or (8), i 'is the measurement frequency of the elimination statistical outlier, i' is more than or equal to 1 and less than or equal to m ', m' is less than or equal to m, and m 'is the measurement frequency of i'; j 'is a sampling position for eliminating the statistical outlier, and j' is less than or equal to j; n' i′ Sample capacity measured for the i 'th performance indicator of the sample at the j' th sampling position;
Figure BDA0002870399310000036
is x i′j′ The i' th measurement average of (a); x is the number of i′j′ Performing an i 'th performance indicator measurement for the sample at the j' th sampling location; n is x i′j′ Total sample capacity (n' i′ Total sample capacity of i '= m' measurements for the jth position per sample capacity);
7) Obtained according to step 6)
Figure BDA0002870399310000037
And N, calculating x according to the formula (9) i′j′ Of the ith 'measurement of' i′ Calculating x according to equation (10) i′j′ Total mean value of->
Figure BDA0002870399310000038
Calculating x according to equation (11) i′j′ The resultant degree v is calculated by the formula (12) x i′j′ Is greater than or equal to the common standard deviation estimate->
Figure BDA0002870399310000039
Calculating x according to equation (13) i′j′ Checking coefficient S by the i' th time S method i′ ，
Formula (9):
Figure BDA00028703993100000310
equation (10):
Figure BDA00028703993100000311
formula (11): v = N-m',
formula (12):
Figure BDA0002870399310000041
formula (13):
Figure BDA0002870399310000042
in the formula (9), (10), (11), (12) or (13), x i′j′ Is a second performance index measurement;
Figure BDA0002870399310000043
is x i′j′ The i' th measurement average of (a); n' i′ Sample capacity measured for the i 'th performance indicator of the sample at the j' th sampling position; sigma' i′ Is x i′j′ The standard deviation of the i' th measurement of (a); n is x i′j′ Total sample capacity of (d); />
Figure BDA0002870399310000044
Is x i′j′ The overall average of (a); v is x i′j′ The degree of freedom of union; i 'is the measurement frequency of the elimination statistical outlier, i' is more than or equal to 1 and less than or equal to m ', m' is less than or equal to m, and m 'is the measurement frequency of i'; j 'is a sampling position for eliminating the statistical outlier, and j' is not more than j; />
Figure BDA0002870399310000045
Is x i′j′ A common standard deviation estimate of (a); s i′ Is x i′j′ Checking the coefficient by the S method for the ith' time;
8) S obtained in step 7) i′ And a check coefficient threshold value S α (m', v) comparison, if S i′ <S α (m', v), shows
Figure BDA0002870399310000046
And
Figure BDA0002870399310000047
without displayJudging whether the difference is significant or not, if not, entering step 9); if S i′ ＞S α (m', v), indicating->
Figure BDA0002870399310000048
And/or>
Figure BDA0002870399310000049
Judging the sample performance index measured value corresponding to the ith' measurement as an outlier and removing the outlier when the significant difference exists, and repeating the steps 6), 7) and 8);
9) Measuring the final sample capacity n ' according to the ith ' performance index of the sample at the jth ' sampling position obtained after the outlier is removed in the step 8) i Measuring the performance index of the ith 'and jth' sampling positions to obtain the final performance index measured value x ij Calculating x ″, as in equation (14) ij Average of the i "th measurement of (1)
Figure BDA00028703993100000410
Calculate x ″, according to equation (15) ij Is based on the total mean value->
Figure BDA00028703993100000411
Formula (14):
Figure BDA00028703993100000412
equation (15):
Figure BDA00028703993100000413
in equation (14) or (15), i 'is the number of measurements to reject the statistical outliers again, i is more than or equal to 1' and less than or equal to m ', i' and less than or equal to i ', i' is more than or equal to 1 and less than or equal to m 'is the measuring times of i'; j ' is the sampling position of rejecting the statistic outlier again, and j ' is less than or equal to j '; n ″ i Sample volume, n ", measured for the i" th performance indicator of the sample at the j "th sampling location i ≤n′ i′ ；x″ ij Is the final performance index measurement;
Figure BDA00028703993100000414
is x ″) ij Average of the i "th measurement of (1); />
Figure BDA00028703993100000415
Is x ″) ij The overall average value of; n' is N i (ii) total sample volume for i "measurements taken at the j" th sampling location, wherein 1. Ltoreq. I "m";
10 X ″) obtained in step 9) ij Arranged in order from small to large, the maximum value x ″, is obtained max And a minimum value x ″) min Calculating x ″, as in equation (16) ij A very different value x of Pole(s) Calculate x ″' according to equation (17) ij Polar difference ratio x of Pole(s) %, and then x Pole And x Pole(s) % is respectively compared with critical values of corresponding performance indexes, and consistency is judged;
formula (16): x is the number of Pole(s) ＝x″ max -x″ min ，
Equation (17):
Figure BDA0002870399310000051
in the formulae (16) and (17), x Pole(s) Is x ″) ij A range of values of; x ″) max Is x ″) ij Maximum value of (d); x ″) min Is x ″) ij Minimum value of (d); x is a radical of a fluorine atom Pole(s) % is x ij The pole difference rate of (a);
Figure BDA0002870399310000052
is x ″) ij Is calculated as the total average value of (a).
In the above steps 1) to 10), n, j, i, n i 、n′ i 、j′、i′、m、m′、n′ i′ 、N、n″ i All the components i ', j ', N ', 1-i ' and m ' are positive integers.
Preferably, in step 1), the nuclear power plant cable is a class 1E nuclear power plant cable.
Preferably, in the step 1), the length of the cable of the nuclear power plant is more than or equal to 10m.
Preferably, in step 1), the sampling position of the nuclear power plant cable is selected from one of an inner insulating layer, an outer insulating layer or a sheath layer of the nuclear power plant cable from inside to outside. The inner insulating layer, the outer insulating layer or the sheath layer are all conventional inner insulating layers, outer insulating layers or sheath layers of cables of the nuclear power station.
More preferably, when the sampling position is selected from one of an inner insulating layer, an outer insulating layer or a sheath layer of the nuclear power plant cable from inside to outside, the sampling position samples every 0.9-1.1m, preferably 1.0m, along the axial direction of the nuclear power plant cable.
More preferably, when the sampling position is selected from one of an inner insulating layer, an outer insulating layer or a sheath layer of the nuclear power plant cable from inside to outside, the sampling position respectively samples at any one or more of an inner surface position, a central position and an outer surface position of each layer of the nuclear power plant cable along the radial direction of the nuclear power plant cable.
The inner surface position, the middle position and the outer surface position of each layer of the nuclear power plant cable refer to the surface position, the middle position and the outer surface position from inside to outside of an inner insulating layer, an outer insulating layer or a sheath layer in the nuclear power plant cable.
Preferably, in the step 1), the number n of the sampling positions of the nuclear power plant cable is more than or equal to 7 and is a positive integer.
Preferably, in step 1), the material of the non-metallic material is selected from one or more of polyvinyl chloride (PVC), cross-linked polyethylene (XLPE), polyethylene (PE), polyolefin, flame retardant polyolefin, ethylene propylene rubber, and silicone rubber.
Preferably, in the step 1), the nuclear power plant cable is regulated for more than or equal to 24 hours in an environment with the temperature of 23 +/-2 ℃ and the temperature of 50 +/-10% before the test.
Preferably, in step 1), the performance index is selected from one or more of measurement data of density, infrared spectroscopy (FTIR), differential Scanning Calorimetry (DSC), oxidation Induction (OITP), thermal weight loss (TG), or inductively coupled plasma-atomic emission spectroscopy (ICP-OES).
More preferably, the performance indicators include measurement data of density, infrared spectroscopy (FTIR), differential Scanning Calorimetry (DSC), oxidative Induction (OITP), weight loss on heat (TG), and inductively coupled plasma-atomic emission spectroscopy (ICP-OES).
More preferably, the density is measured according to method A in standard GB/T1033.1-2008 "determination of density of non-foamed plastic part 1 dipping method, hydrometer bottle method and titration method" to obtain the determination data of density.
More preferably, the infrared spectrum (FTIR) is tested according to GB/T6040-2002 "rules of Infrared Spectroscopy" to obtain the characteristic absorption peak wave number as the measurement data of the infrared spectrum (FTIR).
More preferably, the Differential Scanning Calorimetry (DSC) is as described in reference to the standard GB/T19466.3-2004 Plastic Differential Scanning Calorimetry (DSC) part 3: measurement of melting and crystallization temperatures and enthalpy ", and glass transition temperature, melting temperature, and crystallization temperature were obtained as measurement data of Differential Scanning Calorimetry (DSC).
More preferably, the Oxidation Induction (OITP) is referred to the standard GB/T19466.6-2009 "Differential Scanning Calorimetry (DSC) part 6 of plastics: measurement of oxidation induction time (isothermal OIT) and oxidation induction temperature (dynamic OIT), and oxidation induction temperature was obtained as measurement data of Oxidation Induction (OITP).
More preferably, the weight loss on heating (TG) is measured with reference to standard ISO 11358-2014 "thermogravimetric analysis of high polymer" to obtain the initial thermal decomposition temperature, the maximum thermal decomposition temperature of each section, the degradation amount of the decomposition section and the residual mass as the measurement data of the weight loss on heating (TG).
More preferably, the inductively coupled plasma-atomic emission spectroscopy (ICP-OES) is tested with reference to standard GB/T23942-2009, general rules of chemical reagent inductively coupled plasma atomic emission spectroscopy, to obtain the content of one or more elements selected from Mg, al, ca, zn, B, P, si, sb, and Pb as the measurement data of inductively coupled plasma-atomic emission spectroscopy (ICP-OES). The element having a content of the above element exceeding 5wt% is used as an analysis element.
Preferably, in step 4), the statistic outlier threshold T α (n i ) At a given significanceLevel α (take 0.05) and sample volume n i (n i Not less than 7) by using a test critical value table (GB/T4883-2008) selected from Chauvenet, T test and Grubbs.
More preferably, the statistic outlier threshold T α (n i ) Obtained by examining the table of critical values by Grubbs. If there is a difference in the statistical outliers obtained by the methods Schedule (Chauvenet), t test, and Grubbs test, the results obtained by the Grubbs test shall be used as the standard.
More preferably, the statistic outlier threshold T α (n i ) P = 1-a for a one-sided test; for the case of a two-sided test,
Figure BDA0002870399310000061
preferably, in step 4), the statistical outlier is eliminated, and then the residual sample capacity n 'is obtained' i Not less than 3, the remaining samples should be continued to make statistics T i And statistic outlier threshold T α (n i ) Until there is no statistical outlier.
Preferably, in step 5), the homogeneous outlier threshold C is α (m) at a given significance level α (typically 0.05) and number of measurements m, obtained from a table of critical values (cf. GB/T10092-2008) by C-test. The C test is a Cochran test method.
When homogeneous outliers exist, the data of m times of treatment are remarkably different, and the precision is poor. If the precision is poor, σ needs to be removed max Thereafter, the maximum value of the remaining m '= m' -1 standard deviations continues to be checked until the remaining standard deviations all satisfy the standard deviation homogeneity requirement.
In step 6) or 7), statistics T are carried out by step 4) i Step 5) after the data of the alignment C are removed, the sample capacity n 'measured by the performance index of the obtained sample at the ith' sampling position of the jth 'sampling position is obtained' i′ The number of measurements m' obtained is changedTo recalculate certain processed data to obtain a re-measured value x i′j′ Calculating a re-measured value x i′j′ Average value of the i' th measurement
Figure BDA0002870399310000071
Wherein i ' is more than or equal to 1 and less than or equal to m ', and m ' is less than or equal to m.
Preferably, in step 8), the checking coefficient critical value S α (m ', v) at a given significance level α (typically 0.05), the number of measurements i' (1. Ltoreq. I '. Ltoreq.m') and the resulting degree of freedom v, are obtained from the S Table (GB/T10092-2009).
In step 8) or 9), when the average value is measured for the i' th time
Figure BDA0002870399310000072
And the total mean value->
Figure BDA0002870399310000073
When there is a significant difference, the accuracy is low. If the accuracy is found to be low, after removing the corresponding data, the average value of the rest m = m' -1 times of processing is continuously checked until the rest average values meet the accuracy requirement. Final sample volume n' after outlier rejection i Measuring times i 'after removing outliers, and finally measuring values x' ij Is based on the mean value->
Figure BDA0002870399310000074
Wherein i ' is less than or equal to i ',1 is less than or equal to i ' is less than or equal to m ', m ' is less than or equal to m ', n ', and i ≤n′ i′ 。
preferably, in step 10), the difference value x Pole In the infrared spectrum (FTIR), the range of the characteristic absorption peak wavenumber x Pole(s) The critical value range of (A) is +/-5 cm -1 。
Preferably, in step 10), the difference value x Pole(s) In the Differential Scanning Calorimetry (DSC), the glass transition temperature, the melting temperature or the crystallization temperature has a very different value x Pole The range of the critical value of (C) is. + -. 5 ℃.
Preferably, in step 10), the polesDifference x Pole(s) In the Oxidative Induction (OITP), the very different value x of the oxidative induction temperature Pole(s) The range of the critical value of (C) is. + -. 5 ℃.
Preferably, in step 10), the difference value x Pole(s) In the above thermal weight loss (TG), the initial thermal decomposition temperature or the maximum thermal decomposition temperature in each section is very different from x Pole(s) The range of the critical value of (C) is. + -. 20 ℃.
Preferably, in step 10), the consistency determination criterion is: when the sample has a very poor performance index x Pole(s) At a very different value x Pole(s) Within a predetermined range of a critical value of (a), and/or when the sample has a very poor rate x of a performance index Pole(s) % in the range x Pole(s) Within a predetermined range of the critical value,% is considered to be consistent.
The above-mentioned value of the polar difference x Pole(s) The critical value of (2) is used for the performance index of the non-metallic material for the cable of the nuclear power station: evaluation of the consistency of the test data of infrared spectroscopy (FTIR), differential Scanning Calorimetry (DSC), oxidative Induction (OITP), and thermogravimetric loss (TG). Extreme difference x of the above performance index Pole(s) The critical value ranges are shown in table 1 below. The data of the range of the performance index of the above sample are shown in Table 1 as the range of the range x Pole(s) If the threshold value is within the specified range, the agreement is considered to be achieved; if the range data of the performance indexes of a plurality of samples exceed the range value x in the table 1 Pole(s) The threshold value of (c) is within a predetermined range, the values are considered to be inconsistent.
Preferably, in step 10), the step rate x Pole(s) % of the range x of the density values Pole(s) % critical value range is. + -. 5%.
Preferably, in step 10), the step difference rate x Pole(s) % of the amount of degradation in decomposition space or the rate of extreme variation x of the residual mass in the Thermogravimetric (TG) Pole The% threshold range is. + -. 8%.
Preferably, in step 10), the step rate x Pole(s) % of the total amount of the elements in the inductively coupled plasma-atomic emission spectrometry (ICP-OES) is determined by the range x of the content of the elements Pole(s) % critical value range is ± 20%.
The above-mentioned range ratio is used for non-metal material for nuclear power station cablePerformance indexes are as follows: consistency evaluation of test data of density, thermal weight loss (TG), inductively coupled plasma-atomic emission spectroscopy (ICP-OES). The range x of the above performance index Pole(s) The critical value ranges for% are shown in table 1 below. Data of the range of the performance index of the above sample in Table 1 Pole(s) % of the threshold is within a specified range, and the agreement is considered to be achieved; if the range rate data of the performance indexes of a plurality of samples exceed the range rate x in the table 1 Pole(s) Within a range defined by the% threshold, it is considered inconsistent.
TABLE 1 technical Performance index of consistency of non-metallic materials for nuclear power plant cables
Figure BDA0002870399310000081
As described above, the analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power station provided by the invention has the following beneficial effects:
(1) The invention provides an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station. Compared with the traditional single detection means or simple combination, the consistency of the actual supply cables in different batches and the nonmetal materials of the quality-identified cables can be effectively, quickly and accurately monitored.
(2) The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power station, provided by the invention, makes up the blank of a rapid monitoring method for the consistency of the cable of the nuclear power station, and has the advantages of small sample size, micro loss, short test period, low price and the like, so that the monitoring and recording of the consistency of the cable of the nuclear power station can be effectively realized by establishing a database.
(3) The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power station is a great innovation and an application of a material consistency inspection means in the processes of design (raw material selection), manufacture (process control), supervision (simulation piece & actual supply) and operation (safe operation & aging management) of the cable of the nuclear power station, and provides an effective quality identification and supervision scheme for the safe operation of the cable of the nuclear power station.
Detailed Description
The present invention is further illustrated below with reference to specific examples, which are intended to be illustrative only and not to limit the scope of the invention.
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Example 1
The invention provides an analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station, which is characterized in that n =8 sampling positions at intervals of 1 meter are respectively used as samples for the same 1E-level cable of the nuclear power station with the length of 20 m. The 8 sampling locations were from the sheath layer of the nuclear power plant cable. The sampling position can be any position of the inner surface position, the central position and the outer surface position of the sheath layer. The non-metallic material for the cable is selected from flame-retardant polyolefin. The cable of the nuclear power station is regulated for 24 hours in an environment with the temperature of 23 +/-2 ℃ and the temperature of 50 +/-10 percent before testing. The cable of the 1E-class nuclear power station simultaneously performs 3 batch measurements.
Respectively measuring 6 individual performance indexes of the samples to obtain a measured value x ij The performance indicators include density, infrared spectroscopy (FTIR), differential Scanning Calorimetry (DSC), oxidative Induction (OITP), weight loss on heat (TG), and inductively coupled plasma-atomic emission spectroscopy (ICP-OES). Wherein, partial data of the 1 st performance index measurement value is shown in the following table 2, and partial data of the 2 nd and 3 rd batches of measurement values of the Oxidation Induction (OITP) performance index is shown in the following table 3. The density data are density values. Infrared Spectroscopy (FTIR) data are characteristic absorption peak wavenumbers. Differential Scanning Calorimetry (DSC) data are glass transition temperature, melting temperature, or crystallization temperature. Oxidative Induction (OITP) data is the oxidative induction temperature. Thermal weight loss (TG)The data are the initial thermal decomposition temperature, the maximum thermal decomposition temperature of each interval, the degradation amount or residual mass of the decomposition interval. Inductively coupled plasma-atomic emission spectroscopy (ICP-OES) data show the contents of Mg, al, ca, zn, B, P, si, sb and Pb elements.
Table 2 measurement values of 6 individual performance indexes of nuclear power plant cable non-metallic material measured in first batch
Figure BDA0002870399310000091
Figure BDA0002870399310000101
/>
TABLE 3 measured values of Performance index (OITP) of non-metallic Material for Nuclear Power plant Cable measured in second and third batches
Figure BDA0002870399310000102
Taking the oxidation induction temperature OITP as an example,
(1) A measured value x will be obtained 1j Calculating the measurement average value according to the formula (1)
Figure BDA0002870399310000111
Lot 1 OITP measurement x 1j Has an average value of
Figure BDA0002870399310000112
Figure BDA0002870399310000113
Lot 2 OITP measurement x 2j Has an average value of
Figure BDA0002870399310000114
Figure BDA0002870399310000115
Batch 3 OITP measurement x 3j Has an average value of
Figure BDA0002870399310000116
Figure BDA0002870399310000117
Calculating the standard deviation sigma according to the formula (2) i ，
Lot 1 OITP measurement x 1j Standard deviation of (2)
Figure BDA0002870399310000118
Figure BDA0002870399310000119
Lot 2 OITP measurement x 2j Standard deviation of (2)
Figure BDA00028703993100001110
Figure BDA00028703993100001111
Batch 3 OITP measurement x 3j Standard deviation of (2)
Figure BDA00028703993100001112
Figure BDA00028703993100001113
Calculate statistic T according to equation (3) i ，
Measurement x of batch 1 1j Statistic of (2)
Figure BDA00028703993100001114
Batch 2 measurement x 2j Statistic of (2)
Figure BDA00028703993100001115
Figure BDA00028703993100001116
Batch 3 measurement x 3j Is based on the statistic>
Figure BDA00028703993100001117
(2) Then, the statistic outlier threshold value T is determined α (n 1 ) At a given significance level α (α = 0.05) and sample volume n 1 (n 1 = 8) checking critical value table (refer to GB/T4883-2008) by Grubbs, querying statistics outlier critical value T 0.05 (8) =2.032. The statistic T of the 3 batches 1 And statistic outlier threshold T 0.05 (8) Making a comparison, T 1 ＞T 0.05 (8) Is determined as a statistical outlier, the performance index measurement value corresponding to the 8 th measured outlier is determined as a statistical outlier and is eliminated, and the sample capacity is reduced to n' 1 ＝7。
Then the sample capacity is n' 1 Measurement of 1 st lot of 7 position indexes was performed for each of samples of =7 to obtain measurement values x 1j′ Calculate OITP measurement x for lot 1 according to equation (4) 1j′ Average value of (2)
Figure BDA00028703993100001118
Figure BDA00028703993100001119
/>
Calculate lot 1 OITP measurement x according to equation (5) 1j′ Standard deviation of (2)
Figure BDA00028703993100001120
Figure BDA00028703993100001121
Calculating the measured value x of the 1 st batch according to the formula (3) 1j′ Statistic of (2)
Figure BDA0002870399310000121
Statistic outlier threshold T α (n 1 ) At a given level of significance α (α = 0.05) and sample capacity n' 1 (n′ 1 = 7), the statistic outlier threshold T is queried by the Grubbs (Grubbs) test threshold table (refer to GB/T4883-2008) 0.05 (7) =1.938; the statistic T obtained in the step 2) 1 And statistic outlier threshold T 0.05 (7) Making a comparison, T 1 <T 0.05 (7) Judged to be free of statistical outliers.
Similarly, the statistic outlier threshold T is found in the 2 nd batch of measurements α (n 2 ) At a given significance level α (α = 0.05) and sample volume n 2 (n 2 = 8) condition, query statistics outlier threshold T by Grubbs (Grubbs) test threshold table (refer to GB/T4883-2008) 0.05 (8) =2.032; the statistic T obtained in the step 2) 2 And statistic outlier threshold T 0.05 (8) Making a comparison, T 2 <T 0.05 (8) Judged to be free of statistical outliers.
Similarly, in batch 3 measurements, the statistic outlier threshold T α (n 3 ) At a given significance level α (α = 0.05) and sample volume n 3 (n 3 = 8) condition, query statistics outlier threshold T by Grubbs (Grubbs) test threshold table (refer to GB/T4883-2008) 0.05 (8) =2.032; the statistic T obtained in the step 2) 3 And statistic outlier threshold T 0.05 (8) Making a comparison, T 3 <T 0.05 (8) Judged to be free of statistical outliers.
(3) Homogeneous outlier threshold C α (m) at a given significance level α (α = 0.05) and number of treatments m '(m' = 3), C is consulted by a critical value table (cf. GB/T10092-2008) for which the C test is a Cochran test 0.05 (3) = 0.5157. Will standard deviation of sigma' i The standard deviation σ 'of the measured values for the 3 lot measurements was calculated as formula (6)' i Uniformity of (1)
Figure BDA0002870399310000122
And combining the homogeneity C with a homogeneity outlier threshold C 0.05 (3) Ratio ofTo comparison, C<C 0.05 (3) The standard deviation is judged to be satisfied.
(4) According to the sample capacity n 'of the sample after the outlier is removed' i′ Measuring the times i 'after removing the outlier, wherein the times i' is more than or equal to 1 and less than or equal to m ', and then performing performance index measurement on j' =6 positions to obtain a performance index measurement value x again i′j′ Calculating x according to equation (7) 1′j′ Average value of 1 st batch
Figure BDA0002870399310000123
Mean value of batch 2->
Figure BDA0002870399310000124
Mean value of batch 3->
Figure BDA0002870399310000125
Calculating x according to equation (8) 1′j′ The total sample capacity N =7+ 8=23, and x is calculated according to the formula (9) i′j′ Batch 1 standard deviation of σ' 1′ =1.354, 2 nd batch standard deviation sigma' 2′ =1.512, 3 rd batch standard deviation sigma' 3′ =1.069, calculating x according to equation (10) i′j′ Total mean value of->
Figure BDA0002870399310000126
Figure BDA0002870399310000127
Calculating x according to equation (11) i′j′ The sum of (a) is ν =23-3=20, and x is calculated according to the formula (12) i′j′ Is greater than or equal to the common standard deviation estimate->
Figure BDA0002870399310000128
Figure BDA0002870399310000129
Calculating x according to equation (13) i′j′ 3 batches of the S method test coefficients
Figure BDA00028703993100001210
(5) Test coefficient threshold value S α (m ', v) obtaining S from the S table (GB/T10092-2009) at a given significance level α (α = 0.05), number of measurements m' =3, and union degree v =20 0.05 (3,20) =2.640. Checking coefficient S of the obtained S method i And a check coefficient threshold value S α (m', v) comparison, S 1′ <S 0.05 (3, 20), showing that the mean value of the 1 st batch treatment was not significantly different from the overall mean value, there was no outlier; s 2′ <S 0.05 (3, 20), showing that the mean of the batch 2 treatment was not significantly different from the overall mean, there was no outlier; s 3′ <S 0.05 (3, 20), indicating that the mean value of the 3 rd batch treatment was not significantly different from the overall mean value, and there was no outlier.
(6) According to the final sample capacity n' after the outlier is removed i (n″ i ≤n′ i ) Removing outliers, measuring the times i ', wherein i' is greater than or equal to 1 and less than or equal to m ', m' is less than or equal to m ', and a final performance index measured value x' is obtained ij Calculating x ″, as in equation (14) ij Average value of 1 st batch
Figure BDA0002870399310000131
Mean value in lot 2>
Figure BDA0002870399310000132
Mean value of batch 3->
Figure BDA0002870399310000133
Calculate x ″, according to equation (15) ij Is based on the total mean value->
Figure BDA0002870399310000134
(7) Will x ″) ij Arranged in order from small to large, the maximum value x ″, is obtained max =308 (° c) and minimum value x ″) min =304 (° c), and x ″, is calculated by the formula (16) ij A very different value x of Pole(s) =4 (. Degree. C.), and x ″ "is calculated by the formula (17) ij Is very poor rate of
Figure BDA0002870399310000135
Figure BDA0002870399310000136
Then the difference value x is calculated Pole(s) Sum and pole difference ratio x Pole(s) And% respectively comparing with critical values of corresponding performance indexes, and judging consistency. The range of the critical values is shown in Table 1. When the sample has a very poor performance index x Pole(s) At a very different value x Pole(s) Within a predetermined range of a critical value of (a), and/or when the sample has a very poor rate x of a performance index Pole % in the range x Pole(s) Within a predetermined range of the critical value,% is considered to be consistent.
Example 2
Whether two types of insulation materials with specifications of A1 and B1 for cables of the nuclear power station are consistent needs to be monitored, a section of cable insulation sample is randomly extracted to measure the performance indexes of density, FTIR, DSC, OITP, TG and ICP-OES in the example 1, and the result is shown in a table 4.
TABLE 4 measurement results of the performance indexes of the nuclear power station cable insulation materials with the model specifications of A1 and B1 respectively
Figure BDA0002870399310000137
/>
Figure BDA0002870399310000141
The measurement results of performance indexes of density, FTIR, DSC, TG and ICP-OES of the cable insulation materials of the nuclear power station with the model specifications of A1 and B1 are in the consistency determination index range, but the OITP of the cable insulation materials of the nuclear power station and the OITP of the nuclear power station are obviously different and exceed the consistency determination index range, so that the two nonmetal materials are inconsistent, and the influence on oxidation resistance is large due to the difference of auxiliary agents such as antioxidant in the insulation material formula. This is consistent with known results.
Example 3
Whether two sheath materials for nuclear power station cables with the specifications of A2 and B2 are consistent needs to be monitored, a section of cable sheath sample is randomly extracted to measure the performance indexes of density, FTIR, DSC, OITP, TG and ICP-OES in the example 1, and the result is shown in a table 5.
TABLE 5 measurement results of performance indexes of nuclear power station cable sheath materials with A2 and B2 types
Figure BDA0002870399310000142
/>
Figure BDA0002870399310000151
The measurement results of performance indexes of density, FTIR, DSC, TG and OITP of the cable sheath material of the nuclear power station with the model specifications of A2 and B2 are in the consistency determination index range, but the content of Mg element in ICP-OES of the cable sheath material of the nuclear power station and the DSC and OITP are obviously different and exceed the consistency determination index range, so that the cable sheath material of the nuclear power station and the ICP-OES are inconsistent, and Mg (OH) is added into the sheath material formula 2 And the flame retardant content is different, so that the flame retardant performance is probably greatly influenced. This is consistent with known results.
Example 4
Whether two sheath materials for nuclear power station cables with the specifications of A3 and B3 are consistent needs to be monitored, a section of cable sheath sample is randomly extracted to measure the performance indexes of density, FTIR, DSC, OITP, TG and ICP-OES in the example 1, and the result is shown in a table 6.
TABLE 6 measurement results of performance indexes of nuclear power station cable sheath materials with A3 and B3 models and specifications respectively
Figure BDA0002870399310000152
/>
Figure BDA0002870399310000161
The measurement results of the performance indexes of the density, FTIR, DSC, TG, OITP and ICP-OES of the cable sheath material of the nuclear power station with the model specifications of A3 and B3 are all in the consistency determination index range, so that the nonmetal materials of the density, FTIR, DSC, TG, OITP and ICP-OES are consistent. This is consistent with known results.
Comparative example 1
Compared with example 2, only the density, FTIR and TG performance index measurements are carried out, and the test conditions and parameters are consistent. According to the analysis result, the measurement results of the density, FTIR and TG performance indexes of the cable insulation material of the nuclear power station with the model specifications of A1 and B1 are all in the consistency judgment index range, so that the nonmetal materials of the two are consistent.
Comparative example 2
Compared with example 2, only the measurement of the performance indexes of density, FTIR, DSC and TG is carried out, and the test conditions and parameters are consistent. According to the analysis results, the measurement results of the performance indexes of the density, FTIR, DSC and TG of the nuclear power station cable insulation material with the model specifications of A1 and B1 are all in the consistency determination index range, so that the non-metal materials of the nuclear power station cable insulation material and the nuclear power station cable insulation material are consistent.
Comparative example 3
Compared with example 2, only the density, FTIR, DSC, TG and ICP-OES performance index measurements are carried out, and the test conditions and parameters are kept consistent. According to the analysis result, the measurement results of the performance indexes of the density, FTIR, DSC, TG and ICP-OES of the cable insulation material of the nuclear power station with the model specifications of A1 and B1 are all in the consistency determination index range, so that the nonmetal materials of the density, FTIR, DSC, TG and ICP-OES are consistent.
Comparative example 4
Compared with example 3, only the density, FTIR, DSC and TG performance index measurements are carried out, and the test conditions and parameters are consistent. According to the analysis results, the measurement results of the density, FTIR, DSC and TG performance indexes of the nuclear power station cable sheath material with the model specifications of A2 and B2 are all in the consistency determination index range, so that the non-metal materials of the nuclear power station cable sheath material and the nuclear power station cable sheath material are consistent.
Comparative example 5
Compared with example 3, only the density, FTIR, DSC, OITP and TG performance index measurements were performed, and the test conditions and parameters were kept consistent. According to the analysis results, the measurement results of the performance indexes of the density, FTIR, DSC, OITP and TG of the nuclear power station cable sheath material with the model specifications of A2 and B2 are all in the consistency judgment index range, so that the nonmetal materials of the density, FTIR, DSC, OITP and TG are consistent.
Discussion of results
(1) By comparing example 2 and comparative example 1, the only difference is that the DSC, OITP and ICP-OES performance index measurements were not performed in comparative example 1, however the consistency conclusions are reversed. The conclusions drawn in example 2 are consistent with known results. This shows that the simple combination of the measurement of the optical density, FTIR and TG performance indexes is not completely suitable for the consistency analysis of the non-metallic material for the nuclear power station cable of the complex system.
(2) By comparing example 2 and comparative example 2, the only difference is that OITP and ICP-OES performance index measurements were not performed in comparative example 2, however, the consistency conclusions are reversed. The conclusions drawn in example 2 are consistent with known results. The simple combination of the optical density, FTIR, DSC and TG performance index measurement is not completely suitable for the consistency analysis of the non-metallic material for the nuclear power station cable of the complex system.
(3) By comparing example 2 and comparative example 3, the only difference is that OITP performance index measurements were not made in comparative example 3, however the consistency conclusions are reversed. The conclusions drawn in example 2 are consistent with known results. The result shows that the consistency analysis of the non-metallic material for the nuclear power station cable of the complex system is not satisfied by the combination of the measurement of the performance indexes of optical density, FTIR, OITP, DSC and TG.
(4) By comparing example 3 and comparative example 4, the only difference is that OITP and ICP-OES performance index measurements were not performed in comparative example 4, however, the consistency conclusions are reversed. The conclusions drawn in example 3 are consistent with known results. The result shows that the simple combination of the optical density, FTIR, DSC and TG performance index measurement is not enough to satisfy the consistency analysis of the non-metallic material for the nuclear power station cable of the complex system.
(5) By comparing example 3 with comparative example 5, the only difference is that no ICP-OES performance index measurement is performed in comparative example 5, however the consistency conclusions are opposite. The conclusions drawn in example 3 are consistent with known results. The results show that the combination of the measurement of the optical density, FTIR, DSC, OITP and TG performance indexes is not enough to satisfy the consistency analysis of the non-metallic material for the nuclear power station cable of the complex system.
Therefore, the analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power station by adopting multiple parameters comprises the measurement of performance indexes of density, FTIR, DSC, OITP, TG and ICP-OES, combines mathematical statistics and analysis with a material microscopic analysis method, and can effectively, quickly and accurately monitor the consistency of actual cables in different batches and the non-metallic material for quality identification cables through the systematic demonstration processes of outlier rejection, precision and accuracy inspection, correlation inspection, accuracy verification and the like instead of simple single detection means or simple combination.
While the invention has been described with respect to a preferred embodiment, it will be understood by those skilled in the art that the foregoing and other changes, omissions and deviations in the form and detail thereof may be made without departing from the scope of this invention. Those skilled in the art can make various changes, modifications and equivalent arrangements, which are equivalent to the embodiments of the present invention, without departing from the spirit and scope of the present invention, and which may be made by utilizing the techniques disclosed above; meanwhile, any equivalent changes, modifications and evolutions of the above embodiments according to the essential technology of the present invention are still within the scope of the technical solution of the present invention.

Claims (9)

1. An analysis method for evaluating the consistency of a non-metallic material for a cable of a nuclear power station comprises the following steps:
s1, obtaining a performance index measured value of a sample, wherein the sample is a non-metal material obtained from n sampling positions of a cable of the same nuclear power station;
s2, calculating by adopting the formula (1)
Figure FDA0003785944500000011
Formula (1):
Figure FDA0003785944500000012
wherein the content of the first and second substances,
j is a sampling position, and j is more than or equal to 1 and less than or equal to n;
i is the measurement frequency of the non-rejected statistical outlier, i is more than or equal to 1 and less than or equal to m, and m is the total measurement frequency;
x ij performing an ith performance indicator measurement for the sample at the jth sampling location;
Figure FDA0003785944500000013
is x ij The ith measurement average of (a);
n i sample capacity of performance index for all sampling locations of the ith measurement;
s3, calculating x according to the formula (2) ij Standard deviation σ of the ith measurement of i Calculating x according to equation (3) ij Statistic T of the ith measurement of i ，
Formula (2):
Figure FDA0003785944500000014
formula (3):
Figure FDA0003785944500000015
wherein, the first and the second end of the pipe are connected with each other,
x iout is x ij The outlier of the ith measurement of (a);
s4, calculating the statistic T i And statistic outlier threshold T α (n i ) Making a comparison when T i ＞T α (n i ) In the process, the performance index measured value corresponding to the outlier measured at the ith time is judged as a statistical outlier and is eliminated, and the statistical outlier is calculated by adopting a formula (4) and a formula (5)
Figure FDA0003785944500000016
And σ' i ；
Formula (4):
Figure FDA0003785944500000017
formula (5):
Figure FDA0003785944500000018
wherein the content of the first and second substances,
n′ i sample capacity, n ' of performance indicators for j ' sampling locations that cull statistical outliers for the ith measurement ' i ≤n i ；
j 'is a sampling position for eliminating the statistical outlier, and j' is less than or equal to j;
x ij′ performing ith performance indicator measurement for the jth sampling location for the sample;
Figure FDA0003785944500000021
is x ij′ The ith measurement average of (a);
σ′ i is x ij′ The standard deviation of the ith measurement of (a);
s5, calculating the homogeneity C of all standard deviations according to the formula (6), and combining the homogeneity C with a homogeneity outlier critical value C α (m) comparison, when C > C α At (m), σ max The corresponding sample performance index measured value is judged as a homogeneity outlier and is removed;
formula (6):
Figure FDA0003785944500000022
wherein the content of the first and second substances,
σ max is sigma' i Maximum value of (1);
s6, calculating x according to the formulas (7) and (8) i′j′ The average of the i' th measurement of (1)
Figure FDA0003785944500000023
And x i′j′ Total sample capacity N;
formula (7):
Figure FDA0003785944500000024
formula (8):
Figure FDA0003785944500000025
wherein the content of the first and second substances,
i 'is the measurement times of eliminating outliers, i' is more than or equal to 1 and less than or equal to m ', m' is less than or equal to m, and m 'is the measurement times of i';
n′ i′ sample capacity measured for the i 'th performance indicator of the sample at the j' th sampling position;
x i′j′ performing an i 'th performance indicator measurement for the sample at the j' th sampling location;
s7, calculating x according to the formula (9) i′j′ Of the ith 'measurement of' i′ Calculating x according to equation (10) i′j′ Total average value of
Figure FDA0003785944500000026
Calculating x according to equation (11) i′j′ The resultant degree v is calculated by the formula (12) x i′j′ Common standard deviation estimate of
Figure FDA0003785944500000027
Calculating x according to equation (13) i′j′ Checking coefficient S by the i' th time S method i′ ，
Formula (9):
Figure FDA0003785944500000028
equation (10):
Figure FDA0003785944500000029
formula (11): v = N-m',
formula (12):
Figure FDA00037859445000000210
formula (13):
Figure FDA00037859445000000211
s8, adding S i′ And a check coefficient threshold value S α (m', v) comparing, if S i′ <S α (m', v), showing
Figure FDA00037859445000000212
And
Figure FDA00037859445000000213
if there is no significant difference and there is no outlier, the process proceeds to step S9; if S i′ ＞S α (m', v), showing
Figure FDA00037859445000000214
And
Figure FDA00037859445000000215
judging the sample performance index measured value corresponding to the ith' measurement as an outlier and rejecting the outlier when the significant difference exists, and repeating the steps S6, S7 and S8;
s9, calculating x ″' according to the formula (14) ij Average of the i "th measurement of (1)
Figure FDA0003785944500000031
Calculate x ″, according to equation (15) ij Total average value of
Figure FDA0003785944500000032
Formula (14):
Figure FDA0003785944500000033
equation (15):
Figure FDA0003785944500000034
wherein the content of the first and second substances,
i 'is the measuring times of rejecting the statistical outlier again, i' is more than or equal to 1 and less than or equal to m ', i' is less than or equal to i ',1 is less than or equal to i' is less than or equal to m 'is the measuring times of i';
j ' is the sampling position of rejecting the statistic outlier again, and j ' is less than or equal to j ';
n″ i sample volume, n ", measured for the i" th performance indicator of the sample at the j "th sampling location i ≤n′ i′ ；
x″ ij Is the final performance index measurement;
n' is N i (ii) total sample volume for i "measurements of the j" th sampling location per sample volume;
s10, calculating x ″' according to the formula (16) ij A very different value x of Pole(s) Calculating x ″' according to equation (17) ij Polar difference ratio x of Pole(s) %, and then x Pole(s) And x Pole(s) % is respectively compared with critical values of corresponding performance indexes, and consistency is judged;
formula (16): x is the number of Pole ＝x″ max -x″ min ，
Equation (17):
Figure FDA0003785944500000035
wherein the content of the first and second substances,
x″ max is x ″) ij Maximum value of (d);
x″ min is x ″) ij Minimum value of (d);
in step S1, the performance index is selected from one or more of measurement data of density, infrared spectrum, differential scanning calorimetry, oxidation induction, thermal weight loss or inductively coupled plasma-atomic emission spectroscopy.
2. The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power plant according to claim 1, wherein in the step S1, the sampling position of the cable of the nuclear power plant is selected from one of an inner insulating layer, an outer insulating layer or a sheath layer of the cable of the nuclear power plant from inside to outside; the number n of the sampling positions of the nuclear power plant cable is not less than 7 and is a positive integer.
3. The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power plant as claimed in claim 2, wherein when the sampling position is selected from one of an inner insulating layer, an outer insulating layer or a sheath layer of the cable of the nuclear power plant from inside to outside, the sampling position samples every 0.9-1.1m along the axial direction of the cable of the nuclear power plant.
4. The analysis method for evaluating the consistency of the non-metallic material used for the cable of the nuclear power plant as claimed in claim 1, wherein in the step S4, the statistic outlier critical value T α (n i ) Take 0.05 and sample volume n at a given significance level α i Under the condition, the critical value table is obtained by one of the test critical value tables of Schweiler, t test or Grabbs.
5. The analysis method for evaluating the consistency of the non-metallic materials for cables of nuclear power plants as claimed in claim 1, wherein in step S5, the homogeneity outlier critical value C α (m) is obtained from the table of critical values by C-test, given a significance level α of 0.05 and a number of measurements i = m.
6. The analysis method for evaluating the consistency of the non-metallic material used for the cable of the nuclear power station as claimed in claim 1, wherein in the step S8, the check coefficient critical value S α (m ', v) is obtained from the S table under the conditions of 0.05 of a given significance level alpha, the number of measurements i' and the union mean v.
7. The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power station as claimed in claim 1, wherein in step S10, the non-metallic material is used as a reference materialDifference of polarization value x Pole(s) The threshold value corresponding to the performance indicator is selected from any one or more of:
a) The range x of characteristic absorption peak wavenumber in the infrared spectrum (FTIR) Pole(s) The critical value range of (A) is +/-5 cm -1 ；
B) A very different value x of the glass transition temperature, melting temperature or crystallization temperature in the differential scanning calorimetry Pole(s) The critical value range of (A) is +/-5 ℃;
c) A very different value x of oxidation induction temperature in the oxidation induction Pole(s) The critical value range of (A) is +/-5 ℃;
d) The extreme difference value x of the initial thermal decomposition temperature or the maximum thermal decomposition temperature of each interval in the thermal weight loss Pole(s) The range of the critical value of (C) is. + -. 20 ℃.
8. The analysis method for evaluating the consistency of the non-metallic material used for the cable of the nuclear power plant according to claim 1, wherein in the step S10, the range x is Pole(s) The critical value for% corresponding to the performance indicator is selected from any one or more of:
a) The range x of the density value Pole(s) % critical value range ± 5%;
b) Extreme difference rate x of degradation amount or residual mass in decomposition interval in thermal weight loss Pole(s) % critical value range ± 8%;
c) The range rate x of the content of the analysis element in the inductively coupled plasma-atomic emission spectrum Pole(s) % critical value range is ± 20%.
9. The analysis method for evaluating the consistency of the non-metallic material for the cable of the nuclear power plant according to any one of claims 7 or 8, wherein in the step S10, the consistency judgment criterion is as follows: when the sample has a very poor performance index x Pole(s) At a very different value x Pole(s) Within a predetermined range of a critical value of (a), and/or when the sample has a very poor rate x of a performance index Pole(s) % in the range x Pole(s) Within a predetermined range of the critical value,% is considered to be consistent.
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