CN107256277A - A kind of bimodal polyethylene molecular breakdown analogy method and device - Google Patents
A kind of bimodal polyethylene molecular breakdown analogy method and device Download PDFInfo
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Abstract
The invention discloses a kind of bimodal polyethylene molecular breakdown analogy method, this method comprises the following steps：1）Gather bimodal polyethylene molecular metric density distributed data to be simulated；2）Draw the molecular weight distribution curve figure of bimodal polyethylene molecule；3）Bimodal polyethylene molecular metric density distributed data is fitted, the function expression of molecular weight density curve is obtained；4）Sampling parameter, the bimodal polyethylene molecule sample of the given distribution of generation are set in polyethylene molecule molecular weight distribution model；5）Fracture probability parameter is set, molecular breakdown simulation is carried out to bimodal polyethylene molecular process.It is the vinyl polymer fracture process that specified molecular weight distribution is simulated by using matrix model the invention provides a kind of bimodal polyethylene molecular breakdown analogy method, technical support is given in the research to vinyl polymer aging.
Description
Technical field
The present invention relates to computer software secondary analog technology, more particularly to a kind of bimodal polyethylene molecular breakdown simulation side
Method and device.
Background technology
High polymer material extensive use in daily life, processing, storage and use during, due to it is various because
The influence of element, its performance and use value are gradually reduced, and this phenomenon is referred to as macromolecule aging.
With extensive use of polyethylene (PE) pipeline in China's cities and towns plumbing, gas ductwork are built, PE pipelines
It is increasingly becoming the achievement that social production every field attracts people's attention.PE pipelines compare traditional steel, cement tube road, with corrosion resistant
Erosion, easy to install, pliability are good, processing characteristics is excellent, environmentally friendly, it is safe the features such as.But PE resins are as a kind of to ultraviolet light and height
The high polymer material of temperature sensitive, under strong ultraviolet radiation and hot conditions, PE meeting fast degradation agings, it is crisp to there is surface in pipeline
The danger such as change, mechanical strength reduction, welding point failure.
The fast development since the 1980s of China's PE pipelines.Nineteen eighty-two Shanghai have started to using PE pipes convey city
Combustion gas.As the special equipment of fuel gas transmission, PE pipelines focused primarily upon the optimization design of mechanical property, pipeline extrusion life at that time
Size of pipeline etc. is extruded in the efficiency of producing line, and strict control.Period, the new PE resins for having high stress crack resistant enter
Enter the appearance of market, particularly bimodal polyethylene, high-efficiency pipeline extrusion technique emerges, and rate of extrusion can reach per hour
More than one tonne.Wherein, bimodal polyethylene refers to the polyethylene that molecular weight distribution is superimposed by two kinds of molecular weight normal distribution peaks,
This kind of resin is provided simultaneously with workability and high creep resistance energy, and important work is played in public spheres such as plumbing, gas pipelines
With.During " 12 ", China's plastic conduit industry remain in that continue, stable development, yield by 2010 840.2 ten thousand
Ton, rises to 13,800,000 tons of year ends 2015, average annual growth rate is 10.43%.But current PE pipeline ageing failures mechanism is answered
Miscellaneous, new PE duct products flood the market, and the ageing failure Journal of Sex Research of PE pipelines relatively lags behind.
In recent years, with information technology, the fast development of computer technology and internet, each social field builds up
Data in large scale.With the extensive use of information system, from ancient data analysis and statistical technique, the modern times are added
Artificial intelligence, how database and statistics correlation technique, research to make full use of large-scale data, excavate out useful knowledge
Data mining technology develop rapidly.Machine learning is to solve one of main method of data mining problem.Machine learning
It is a kind of process for carrying out self improvement using system in itself, enables computer program with the accumulation raising property automatically of experience
Can, although up to the present machine learning is also insufficient to allow computer to possess powerful learning ability as the mankind, it is directed to
The proposition of the algorithm of a large amount of specific learning tasks, possesses computer and feature is extracted from mass data, implicit rule is found
Ability, therefore machine learning is widely applied in data mining.
The content of the invention
The technical problem to be solved in the present invention is that there is provided a kind of bimodal polyethylene molecule for defect of the prior art
Fracture stimulation method and apparatus.
The technical solution adopted for the present invention to solve the technical problems is：A kind of bimodal polyethylene molecular breakdown simulation side
Method, comprises the following steps：
1) bimodal polyethylene molecular metric density distributed data to be simulated is gathered；
2) data to collection press abscissa data for bimodal polyethylene molecular amount denary logarithm, ordinate
Data are the molecule metric density of bimodal polyethylene molecule, draw the molecular weight distribution curve figure of bimodal polyethylene molecule；
3) bimodal polyethylene molecular metric density distributed data is fitted, obtains the function representation of molecular weight density curve
Formula, generates corresponding polyethylene molecule molecular weight distribution model；
4) sampling parameter, the bimodal polyethylene point of the given distribution of generation are set in polyethylene molecule molecular weight distribution model
Subsample；Wherein sampling parameter includes molecule sum and short-chain branch concentration after sampling interval, number of samples, fracture；
5) fracture probability parameter is set, molecular breakdown simulation is carried out to bimodal polyethylene molecular process；Wherein fracture probability
Parameter is broken including carbon-to-carbon singly-bound fracture probability, simulated time units and molecule that main carbochain is connected with secondary carbon, tertiary carbon, carbonyl
Split percentage.
By such scheme, the step 5) in molecular breakdown simulation comprise the following steps：
The sampling interval demarcation interval of setting is pressed on molecular backbone and in interval using the interval Sampling Method of Wheel-type
Fracture molecule is randomly selected, fracture process is performed according to the fracture probability parameter of setting, post-rift molecular model matrix is generated
Collection；
All post-rift molecular model matrix stacks are resequenced by molecular size range.
By such scheme, the step 3) in the fitting function type that uses for normal distyribution function.
By such scheme, the sampling interval is to measure 10 logarithms for being bottom with molecule, to bimodal polyethylene molecular
Sampled in amount interval.
A kind of bimodal polyethylene molecular breakdown analogue means, including：
Input block, for inputting the bimodal polyethylene molecular metric density distributed data to be simulated gathered；
Drawing of Curve unit, by abscissa data is that bimodal polyethylene molecular amount is with 10 for the data to collection
The logarithm at bottom, ordinate data are the molecule metric density of bimodal polyethylene molecule, draw the molecular weight point of bimodal polyethylene molecule
Cloth curve map；
Fitting unit, for being fitted to bimodal polyethylene molecular metric density distributed data, obtains molecule metric density bent
The function expression of line, generates corresponding polyethylene molecule molecular weight distribution model；
Sampling unit：For setting sampling parameter in polyethylene molecule molecular weight distribution model, the given distribution of generation
Bimodal polyethylene molecule sample；Wherein sampling parameter is dense including molecule sum and short-chain branch after sampling interval, number of samples, fracture
Degree；
Analogue unit, for setting fracture probability parameter, molecular breakdown simulation is carried out to bimodal polyethylene molecular process；Its
Middle fracture probability parameter includes carbon-to-carbon singly-bound fracture probability, simulated time unit that main carbochain is connected with secondary carbon, tertiary carbon, carbonyl
Number and molecular breakdown percentage.
By such scheme, molecular breakdown simulation comprises the following steps in the analogue unit：
The sampling interval demarcation interval of setting is pressed on molecular backbone and in interval using the interval Sampling Method of Wheel-type
Fracture molecule is randomly selected, fracture process is performed according to the fracture probability parameter of setting, post-rift molecular model matrix is generated
Collection；
All post-rift molecular model matrix stacks are resequenced by molecular size range.
By such scheme, the fitting function type used in the fitting unit is normal distyribution function.
By such scheme, the sampling interval is to measure 10 logarithms for being bottom with molecule in the sampling unit, to bimodal poly- second
Sampled in alkene molecular amount interval.
The beneficial effect comprise that：
1st, it is to simulate spy by using matrix model the invention provides a kind of bimodal polyethylene molecular breakdown analogy method
Determine the vinyl polymer fracture process of molecular weight distribution, technical support is given in the research to vinyl polymer aging.
2nd, the present invention is modeled simulation using matrix to the molecular weight distribution of specific sample, its molecular breakdown simulation process
Analog parameter in recurrence, simulation process, which can be achieved, can realize that voluntarily adjustment is set, and carry out contrast amendment with measured value, be put
The high molecular breakdown simulation model of reliability.
3rd, the present invention is broken the sampling of molecule in simulation process using Wheel-type subregion random distribution short-chain branch and selection
Algorithm ensure that the randomness of sampling and the operand of reduction sampling, to reach efficient simulation fitting result.
Brief description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing：
Fig. 1 is the method flow diagram of the embodiment of the present invention；
Fig. 2 is the molecular weight distribution curve figure of the bimodal polyethylene molecule of the embodiment of the present invention；
Fig. 3 be the embodiment of the present invention bimodal polyethylene fracture stimulation after molecular weight distribution curve schematic diagram.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that specific embodiment described herein is not used to limit only to explain the present invention
The fixed present invention.
As shown in figure 1, a kind of bimodal polyethylene molecular breakdown analogy method, comprises the following steps：
1) bimodal polyethylene molecular metric density distributed data to be simulated is gathered；Data format is (molecular weight, molecule
Metric density)；
2) data to collection press abscissa data for bimodal polyethylene molecular amount denary logarithm, ordinate
Data are the molecule metric density of bimodal polyethylene molecule, draw the molecular weight distribution curve figure of bimodal polyethylene molecule；Such as Fig. 2 institutes
Show,
The initial molecular weight distribution curve is the bimodal polyethylene molecular weight distribution measured using gel permeation chromatography
Curve data, abscissa data are the logarithm log of decimal base bimodal polyethylene molecular weight10Mw, ordinate data are molecule
Measure as MwMolecule percentage by weight w to the differential dw/dlog of the logarithm10Mw, i.e. molecular weight distribution proportion；
3) choose suitable normal distyribution function to be fitted bimodal polyethylene molecular metric density distributed data, divided
The function expression of sub- metric density curve, generates corresponding polyethylene molecule molecular weight distribution model；
Normal distyribution function is：F (x)=a1*exp (- ((x-b1) ^2)+a2*exp (- ((x-b2)/c2) ^2),
Wherein, a1, b1, c1, a2, b2, c2For coefficient to be determined；
4) sampling parameter is set, the bimodal polyethylene point of given distribution is generated in polyethylene molecule molecular weight distribution model
Subsample；Wherein sampling parameter includes molecule sum and short-chain branch concentration after sampling interval, number of samples, fracture；
The bimodal polyethylene molecule sample of the given distribution of generation is to generate initial main chain model matrix using function expression
Each initial main chain model matrix (i.e. polyethylene molecule molecular weight distribution sample) of set pair generation, utilizes Wheel-type areal sampling
The homogeneous short-chain branch of method random marker generation length, the distribution density of short-chain branch length and short-chain branch on main chain can be according to difference
Trade mark resin characteristicses are configured, and wherein short-chain branch is that length is 3-10 carbon atom.
Sampling interval, to measure 10 logarithms for being bottom with molecule, samples to bimodal polyethylene molecular amount interval；
Number of samples is the total number of setting initial samples molecule；
Molecules are Molecules after setting unit interval molecular chain rupture after fracture；
Short-chain branch concentration is the ratio of setting short-chain branch number and backbone c atoms number.
5) fracture probability parameter is set, bimodal polyethylene molecular process is simulated；Wherein fracture probability parameter includes
Carbon-to-carbon singly-bound fracture probability, simulated time units and molecular breakdown percentage that main carbochain is connected with secondary carbon, tertiary carbon, carbonyl；
The carbon-to-carbon singly-bound fracture probability that main carbochain is connected with secondary carbon is the carbon-carbon bond fracture probability of setting secondary carbon.
The carbon-to-carbon singly-bound fracture probability that main carbochain is connected with tertiary carbon is the carbon-carbon bond fracture probability of setting tertiary carbon atom.
The carbon-to-carbon singly-bound fracture probability that main carbochain is connected with carbonyl is general for the connected carbon-to-carbon rupture of setting carbon oxygen atom
Rate.
Simulated time units is setting macromolecule fracture stimulation chronomere number.
Molecular breakdown percentage is molecular breakdown number in one unit interval of setting and the percentage for being broken preceding molecule sum.
Molecular breakdown simulation comprises the following steps：
The sampling interval demarcation interval of setting is pressed on molecular backbone and in interval using the interval Sampling Method of Wheel-type
Fracture molecule is randomly selected, fracture algorithm is performed, generates post-rift molecular model matrix stack；
All post-rift molecular model matrix stacks are resequenced by molecular size range, that is, obtain bimodal polyethylene old
Change post-rift molecular weight distribution curve, as shown in Figure 3.
During fracture stimulation can be achieved recurrence, and in simulation process with actual senile experiment measurement result carry out pair
Than to parameter setting amendment, finally obtaining the higher molecular breakdown simulation model of confidence level.
Here is the specific embodiment using the inventive method：
Embodiment 1
One kind bimodal polyethylene molecular breakdown analogy method, is carried out by bimodal polyethylene molecular amount distributed data
Curve matching, generates corresponding bimodal distribution sub-polyethylene submodel, and the bimodal polyethylene molecular weight distribution after aging is changed
Simulated.
The bimodal polyethylene that the present embodiment is used, producer is 1460 type resins of Basel, and number-average molecular weight 20000 is left
It is right.
Bimodal polyethylene molecular breakdown analogy method, comprises the following steps：
(1) 1460 model bimodal polyethylene molecular metric density distributed datas are inputted, abscissa data are bimodal poly- second
Alkene molecular amount denary logarithm, ordinate data are the molecule metric density of bimodal polyethylene molecule；
(2) fitting function type is set as bimodal distribution equation, by being distributed to bimodal polyethylene molecular metric density
Data are fitted, and obtain the function expression of molecular weight density curve；
(3) sampling interval is set as 0.10, sampling sum is 10000, molecule sum is 20000 after fracture, and short-chain branch is dense
Spend for 0.01, the bimodal polyethylene molecule sample of the given distribution of generation；,
(4) the carbon-to-carbon double bond fracture probability containing secondary carbon is set as 1/1000, and tertiary carbon fracture probability is 2/1000, and carbon oxygen is former
The carbon-carbon bond fracture probability of son is 1/100, and simulated time unit is 100, and molecular breakdown percentage is 0.01.To bimodal polyethylene
Molecular process is simulated, and produces the gained post-rift molecular weight distribution curve of bimodal polyethylene aging in the present invention.
Embodiment 2
The bimodal polyethylene that the present embodiment is used, producer is EXXON, number-average molecular weight 12000 or so.
Bimodal polyethylene molecular breakdown analogy method, comprises the following steps：
(1) EXXON model bimodal polyethylene molecular metric density distributed datas are inputted, abscissa data are bimodal poly- second
Alkene molecular amount denary logarithm, ordinate data are the molecule metric density of bimodal polyethylene molecule；
(2) fitting function type is set as bimodal distribution equation, by being distributed to bimodal polyethylene molecular metric density
Data are fitted, and obtain the function expression of molecular weight density curve；
(3) sampling interval is set as 0.10, sampling sum is 10000, molecule sum is 20000 after fracture, and short-chain branch is dense
Spend for 0.01, the bimodal polyethylene molecule sample of the given distribution of generation；
(4) secondary carbon fracture probability is set as 1/1000, tertiary carbon fracture probability is 2/1000, the carbon-carbon bond of carbon oxygen atom is broken
Probability is 1/100, and simulated time unit is 100, and molecular breakdown percentage is 0.01.Mould is carried out to bimodal polyethylene molecular process
Intend, produce the gained post-rift molecular weight distribution curve of bimodal polyethylene aging in the present invention.
Embodiment 3
The bimodal polyethylene that the present embodiment is used, producer is Borealis, number-average molecular weight 8000 or so.
Bimodal polyethylene molecular breakdown analogy method, comprises the following steps：
(1) input Ningbo production bimodal polyethylene molecular metric density distributed data, abscissa data are bimodal polyethylene
Molecular amount denary logarithm, ordinate data are the molecule metric density of bimodal polyethylene molecule；
(2) fitting function type is set as bimodal distribution equation, by being distributed to bimodal polyethylene molecular metric density
Data are fitted, and obtain the function expression of molecular weight density curve；
(3) sampling interval is set as 0.10, sampling sum is 10000, molecule sum is 20000 after fracture, and short-chain branch is dense
Spend for 0.01, the bimodal polyethylene molecule sample of the given distribution of generation；,
(4) secondary carbon fracture probability is set as 1/1000, tertiary carbon fracture probability is 2/1000, the carbon-carbon bond of carbon oxygen atom is broken
Probability is 1/100, and simulated time unit is 100, and molecular breakdown percentage is 0.01.Mould is carried out to bimodal polyethylene molecular process
Intend, produce the gained post-rift molecular weight distribution curve of bimodal polyethylene aging in the present invention.
Embodiment 4
The bimodal polyethylene that the present embodiment is used, is produced by Sinopec, number-average molecular weight 14000 or so.
Bimodal polyethylene molecular breakdown analogy method, comprises the following steps：
(1) input Dongguan production bimodal polyethylene molecular metric density distributed data, abscissa data are bimodal polyethylene
Molecular amount denary logarithm, ordinate data are the molecule metric density of bimodal polyethylene molecule；
(2) fitting function type is set as bimodal distribution equation, by being distributed to bimodal polyethylene molecular metric density
Data are fitted, and obtain the function expression of molecular weight density curve；
(3) sampling interval is set as 0.10, sampling sum is 10000, molecule sum is 20000 after fracture, and short-chain branch is dense
Spend for 0.01, the bimodal polyethylene molecule sample of the given distribution of generation；,
(4) secondary carbon fracture probability is set as 1/1000, tertiary carbon fracture probability is 2/1000, the carbon-carbon bond of carbon oxygen atom is broken
Probability is 1/100, and simulated time unit is 100, and molecular breakdown percentage is 0.01.Mould is carried out to bimodal polyethylene molecular process
Intend, produce the gained post-rift molecular weight distribution curve of bimodal polyethylene aging in the present invention.
It should be appreciated that for those of ordinary skills, can according to the above description be improved or converted,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (8)
1. a kind of bimodal polyethylene molecular breakdown analogy method, it is characterised in that comprise the following steps：
1）Gather bimodal polyethylene molecular metric density distributed data to be simulated；
2）Data to collection press abscissa data for bimodal polyethylene molecular amount denary logarithm, ordinate data
For the molecule metric density of bimodal polyethylene molecule, the molecular weight distribution curve figure of bimodal polyethylene molecule is drawn；
3）Bimodal polyethylene molecular metric density distributed data is fitted, the function expression of molecular weight density curve is obtained,
Generate corresponding polyethylene molecule molecular weight distribution model；
4）Sampling parameter, the bimodal polyethylene molecule sample of the given distribution of generation are set in polyethylene molecule molecular weight distribution model
This；Wherein sampling parameter includes molecule sum and short-chain branch concentration after sampling interval, number of samples, fracture；
5）Fracture probability parameter is set, molecular breakdown simulation is carried out to bimodal polyethylene molecular process；Wherein fracture probability parameter
Carbon-to-carbon singly-bound fracture probability, simulated time units and the molecular breakdown hundred being connected including main carbochain with secondary carbon, tertiary carbon, carbonyl
Divide ratio.
2. bimodal polyethylene molecular breakdown analogy method according to claim 1, it is characterised in that the step 5）In point
Sub- fracture stimulation comprises the following steps：
Using the interval Sampling Method of Wheel-type on molecular backbone by setting sampling interval demarcation interval and in interval it is random
Fracture molecule is chosen, performs and fracture process is performed according to the fracture probability parameter of setting, post-rift molecular model matrix is generated
Collection；
All post-rift molecular model matrix stacks are resequenced by molecular size range.
3. bimodal polyethylene molecular breakdown analogy method according to claim 1, it is characterised in that the step 3）In adopt
Fitting function type is normal distyribution function.
4. bimodal polyethylene molecular breakdown analogy method according to claim 1, it is characterised in that the sampling interval is
With molecule measure 10 for bottom logarithm, to bimodal polyethylene molecular amount interval sample.
5. a kind of bimodal polyethylene molecular breakdown analogue means, including：
Input block, for inputting the bimodal polyethylene molecular metric density distributed data to be simulated gathered；
Drawing of Curve unit, by abscissa data is that bimodal polyethylene molecular amount is bottom with 10 for the data to collection
Logarithm, ordinate data are the molecule metric density of bimodal polyethylene molecule, and the molecular weight distribution for drawing bimodal polyethylene molecule is bent
Line chart；
Fitting unit, for being fitted to bimodal polyethylene molecular metric density distributed data, obtains molecular weight density curve
Function expression, generates corresponding polyethylene molecule molecular weight distribution model；
Sampling unit：For setting sampling parameter in polyethylene molecule molecular weight distribution model, generation gives the bimodal of distribution
Sub-polyethylene subsample；Wherein sampling parameter includes molecule sum and short-chain branch concentration after sampling interval, number of samples, fracture；
Analogue unit, for setting fracture probability parameter, molecular breakdown simulation is carried out to bimodal polyethylene molecular process；It is interrupted
Split carbon-to-carbon singly-bound fracture probability, simulated time units that probability parameter is connected with secondary carbon, tertiary carbon, carbonyl including main carbochain and
Molecular breakdown percentage.
6. bimodal polyethylene molecular breakdown analogue means according to claim 5, it is characterised in that in the analogue unit
Molecular breakdown simulation comprises the following steps：
Using the interval Sampling Method of Wheel-type on molecular backbone by setting sampling interval demarcation interval and in interval it is random
Fracture molecule is chosen, fracture process is performed according to the fracture probability parameter of setting, post-rift molecular model matrix stack is generated；
All post-rift molecular model matrix stacks are resequenced by molecular size range.
7. bimodal polyethylene molecular breakdown analogue means according to claim 5, it is characterised in that in the fitting unit
The fitting function type used is normal distyribution function.
8. bimodal polyethylene molecular breakdown analogue means according to claim 5, it is characterised in that in the sampling unit
Sampling interval, to measure 10 logarithms for being bottom with molecule, samples to bimodal polyethylene molecular amount interval.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108388761A (en) * | 2018-02-27 | 2018-08-10 | 华东理工大学 | The high-precision fast prediction model building method of molecular weight of polyethylene distribution and its application |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090220718A1 (en) * | 2008-02-29 | 2009-09-03 | Kuraray Co. Ltd. | Fuel container |
| CN103745028A (en) * | 2013-12-02 | 2014-04-23 | 温州大学 | Simulation test method for heat fatigue performance of material interface of micro-nanometer device |
| CN103789860A (en) * | 2012-10-30 | 2014-05-14 | 中国石油化工股份有限公司 | High molecular weight polyethylene fiber, preparation method and application thereof |
| CN105868563A (en) * | 2016-04-01 | 2016-08-17 | 北京科技大学 | Modeling and simulating method for degradation process of degradable high polymer material |
-
2017
- 2017-02-15 CN CN201710081680.8A patent/CN107256277B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090220718A1 (en) * | 2008-02-29 | 2009-09-03 | Kuraray Co. Ltd. | Fuel container |
| CN103789860A (en) * | 2012-10-30 | 2014-05-14 | 中国石油化工股份有限公司 | High molecular weight polyethylene fiber, preparation method and application thereof |
| CN103745028A (en) * | 2013-12-02 | 2014-04-23 | 温州大学 | Simulation test method for heat fatigue performance of material interface of micro-nanometer device |
| CN105868563A (en) * | 2016-04-01 | 2016-08-17 | 北京科技大学 | Modeling and simulating method for degradation process of degradable high polymer material |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108388761A (en) * | 2018-02-27 | 2018-08-10 | 华东理工大学 | The high-precision fast prediction model building method of molecular weight of polyethylene distribution and its application |
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