CN105335596A - Calculation device and calculation method of heat-proof characteristic parameter of electrical insulating material - Google Patents
Calculation device and calculation method of heat-proof characteristic parameter of electrical insulating material Download PDFInfo
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Abstract
The invention discloses a calculation method of a heat-proof characteristic parameter of an electrical insulating material. The calculation method comprises the following steps: loading data into a data conversion module; judging the input data by the data conversion module; converting the data by the data conversion module; displaying the converted data by a data display module; judging whether the tantiles of F distribution and t distribution are obtained through approximate calculation or not; obtaining the tantile of the F distribution through the approximate calculation via an F distribution tantile calculation module; looking up a table to obtain the tantile of the F distribution through an F distribution tantile table look-up module; carrying out data calculation by an experimental data calculation module; drawing a heat-proof graph by a heat-proof graph drawing module; and generating a report by a report generation module. The invention also discloses a device for executing the above method.
Description
Technical field
The present invention relates to a kind of calculation element of characteristic parameter, particularly, relate to a kind of calculation element of insulating material heat resistant feature parameter.The invention still further relates to the computing method of above-mentioned insulating material heat resistant feature parameter.
Background technology
In prior art, the calculating for insulating material heat resistant feature parameter adopts the mode such as to table look-up to carry out usually.But above-mentioned lookup table mode is wasted time and energy not easy to operate, and easily makes mistakes.Therefore, simply, fast and accurately calculation element and method are complicated to need one.
Summary of the invention
Determining the resistance to thermal parameter of insulating material quickly and easily to realize one, the present invention proposes following calculation element and computing method.
According to the calculation element for insulating material heat resistant feature parameter of the present invention, comprising:
Data conversion module, for inputting and judging that whether inputted experimental data is correct;
Data disaply moudle, the data for the data that receive from data conversion module and after showing raw experimental data and conversion;
F distribution tantile searches module, for automatically searching F distribution tantile according to the data after conversion;
F distribution tantile computing module, for the tantile that distributes according to the data approximate treatment F after conversion;
T distribution tantile searches module, for automatically searching t distribution tantile according to the data after conversion;
T distribution tantile computing module, for the tantile that distributes according to the data approximate treatment t after conversion;
Checked data computation module, for calculating the linear regression coeffficient of aging temperature and time, humidity index and half poor;
Experimental data computing module, for calculating the linear regression coeffficient of aging temperature and time, humidity index and half poor;
The drafting module of resistance to thermal map, for drawing resistance to thermal map and fiducial limit curve; With
Report generation module, for information such as the resistance to thermal map that will obtain and result of calculations with the form display translation of report.Utilize said apparatus, can be fast and convenient and obtain insulating material heat resistant feature parameter accurately and efficiently.
Preferably, according to the calculation element for insulating material heat resistant feature parameter of the present invention, comprise further: checked data calculating coefficient table look-up module, for arranging coefficient (Alpha, Beta, Mu, Epsilon).
Further preferably, according to the calculation element for insulating material heat resistant feature parameter of the present invention, comprise further: data selecting module, for selecting adopted data.
In addition preferably, in the calculation element for insulating material heat resistant feature parameter according to the present invention, described data selecting module comprises further:
Data point diagram drafting module, for drawing (time m-ageing properties) data point diagram of destructive test under each aging temperature;
Data point selection module, whether for selecting a series of data points linearly on (time m-ageing properties) data point diagram, and it is reasonable tentatively to judge to calculate the point selected;
Data point fitting module, for carrying out linear regression calculating to selected point, and the straight line draw matching on (time m-ageing properties) data point diagram after; With
Data point judge module, for judging whether selected data meet the demands, and and then exports satisfactory data point.
According to the computing method for insulating material heat resistant feature parameter of the present invention, comprise the following steps:
Step S101: data are loaded into data conversion module;
Step S102: judged by the data of data conversion module to input; If data are correct, then enter next step S103; If the data of input are wrong, be then back to step S101, until the data of input correctly enter next step S103 again;
Step S103: data are changed by data conversion module;
Step S104: show the data after conversion by data disaply moudle;
Step S105: judge whether the tantile being obtained F distribution and t distribution by approximate treatment, if so, then enter step S106; If not, then step S107 is entered; Also can be obtain the tantile of F distribution and t distribution by approximate treatment or obtain by lookup table mode the tantile that F distributes and t distributes by device automatic decision by user.
Step S106: the tantile of the tantile computing module approximate treatment F distribution that distributed by F;
Step S107: tabled look-up by F distribution tantile table look-up module and obtain the tantile of F distribution;
Step S108: carry out data calculating by experimental data computing module;
Step S109: draw resistance to thermal map by the drafting module of resistance to thermal map;
Step S110: reported by report generation CMOS macro cell.
Utilize said method can increase substantially the accuracy and efficiency of data calculating.
Preferably, in the computing method for insulating material heat resistant feature parameter of the present invention, step S5 can also be performed between step S104 and step S105: coefficient Alpha, Beta, Mu, Epsilon are set by checked data calculating coefficient table look-up module.
In addition preferably, in the computing method for insulating material heat resistant feature parameter according to the present invention, between step S104 and step S105, step S205 is performed: carry out data selection by data selecting module.
Further preferably, in the computing method for insulating material heat resistant feature parameter of the present invention, step S205 comprises the following steps again:
Step S212: drawn (time m-ageing properties) the data point diagram under Current Temperatures by data point diagram drafting module (14);
Step S213: by data point selection module (15) selection series of points linearly;
Step S214: whether the data selected by judging are reasonable, if so, then enter step S215; If not, then step S213 is got back to; User or device judge according to the requirement of GB11026-3 automatically.
Step S215: by data point fitting module (16), linear regression fit is carried out to selected point, and draw the straight line after matching;
Step S216: whether the data selected by data point judge module (17) judges meet the requirement of GB11026-3, if so, then enter step S217; If not, then step S213 is turned back to;
Step S217: judge whether to screen the data group under each aging temperature; If so, then terminate; If not, then prepare the data under the next aging temperature of process, and turn back to step S213.
Utilize said method, insulating material heat resistant feature supplemental characteristic can be obtained simple and convenient, accurately and efficiently.
Accompanying drawing explanation
In order to describe the present invention in more detail, be also described further with reference to specific embodiment below with reference to accompanying drawing, wherein:
Figure 1A and 1B is according to the calculation element sketch for insulating material heat resistant feature parameter of the present invention;
Fig. 2 is the process flow diagrams of the computing method for insulating material heat resistant feature parameter according to the present invention about nondestructive test data calculation process;
Fig. 3 is the process flow diagrams of the computing method for insulating material heat resistant feature parameter according to the present invention about check test data calculation process;
Fig. 4 is the process flow diagrams of the computing method for insulating material heat resistant feature parameter according to the present invention about destructive test data calculation process; With
Fig. 5 is the process flow diagrams of the computing method for insulating material heat resistant feature parameter according to the present invention about the data selection sub-step in destructive test data calculation process.
Embodiment
In further detail the specific embodiment of the present invention is described below in conjunction with accompanying drawing.
As shown in Figure 1, calculation element 1 according to an embodiment of the invention, can comprise: data conversion module 2; Data disaply moudle 3; Checked data calculating coefficient table look-up module 4; F distribution tantile table look-up module 5; F distribution tantile computing module 6; T distribution tantile table look-up module 7; T distribution point position computing module 8; Checked data computation module 9; Nondestructive test data computation module 10; Data selecting module 11; The drafting module of resistance to thermal map 12; Report generation module 13.
Particularly, data conversion module 2, whether correct for judging the experimental data imported, its reception meets in standard GB11026-3 the data file requiring form, and judge that whether the experimental data imported is correct, if correct, then these data changed the form that computing method for this reason need, and the data after conversion are exported.
Data disaply moudle 3, for showing the data after raw experimental data and conversion.Particularly, data disaply moudle 3 inputs the data after raw experimental data and conversion, shows the data after raw experimental data and conversion in table form, and exports the corresponding form of raw data and translated data.
Coefficient searches module 4, for the coefficient corresponding according to the data search after conversion.Particularly, checked data calculating coefficient table look-up module 4 receives the data after conversion, automatically searches the coefficient in GB11026-3 appendix C 1 form, then output coefficient form according to the data after conversion.
F distribution tantile searches module 5, for automatically searching F distribution tantile according to the data after conversion.Particularly, F distribution tantile is searched module 5 and is received the data after changing, and then automatically searches the tantile in GB11026-3 appendix C 2 or C3 form according to the data after conversion, carries out interpolation calculation time necessary.C2 form is the F distribution of the level of signifiance 0.05, and C3 form is the F distribution of 0.005 of the level of signifiance, and exports F distribution tantile (see GB).
F distribution tantile computing module 6, for the tantile that distributes according to the data approximate treatment F after conversion.Particularly, distribute tantile computing module 6 of F receives the data after conversion, digs the distribute F of tantile or the level of signifiance 0.005 of the F calculating the level of signifiance 0.05 to distribute tantile according to the data after conversion, and exports F and to distribute tantile.
T distribution tantile searches module 7, for automatically searching t distribution tantile according to the data after conversion.Particularly, t distribution tantile is searched module 7 and is received the data after changing, automatically the tantile in GB11026-3 appendix C 4 form is searched according to the data after conversion, interpolation calculation is carried out time necessary, the t that wherein C4 form (see GB) is confidence level 0.95 distributes, and exports t distribution tantile.
T distribution tantile computing module 8, for the tantile that distributes according to the data approximate treatment t after conversion.Particularly, t distribution tantile computing module 8 receives the data after changing, and digs the t distribution tantile calculating confidence level 0.95 according to the data after conversion, then exports t distribution tantile.
Checked data computation module 9, for calculating the linear regression coeffficient of aging temperature and time, humidity index and half poor.Particularly, checked data computation module 9 receives the data calculating coefficient F distribution tantile after conversion, and calculate aging temperature and the linear regression coeffficient of time, humidity index, half poor according to GB11026-3, and export above-mentioned linear regression coeffficient, humidity index and half poor.
Nondestructive test data computation module 10, for calculating the linear regression coeffficient of aging temperature and time, humidity index and half poor.Particularly, nondestructive test experimental data computing module 10 receives data, calculating coefficient and the F distribution tantile after conversion, aging temperature and the linear regression coeffficient of time, humidity index and half poor is calculated according to GB11026-3, and output linearity regression coefficient, humidity index and half poor.
Data selecting module 11, for exporting the data after the conversion received with the form meeting the requirement data point of GB11026-3.
In one embodiment, data selecting module 11 comprises again 4 submodules, is data point diagram drafting module 14, data point selection module 15, data point fitting module 16, data point judge module 17 respectively.
Particularly, data point diagram drafting module 14 receives the data after conversion, and (time m-ageing properties) data point diagram of destructive test under drawing each aging temperature, then exports (time m-ageing properties) data point diagram.
Data point selection module 15 inputs the quantity of initial data point and institute's reconnaissance from initial data point, (time m-ageing properties) data point diagram is selected a series of data points linearly, and tentatively judge that whether the point calculating choosing is reasonable, then export selected data point.
Data point fitting module 16 inputs selected data point, and linear regression calculating is carried out to selected point, and the straight line draw matching on (time m-ageing properties) data point diagram after, then export (time m-ageing properties) data point diagram of band fitting a straight line.
Data point judge module 17 inputs selected data point, and whether the data selected by judging meet the requirement of GB11026-3, then exports the requirement data point meeting GB11026-3.
Calculation element 1 also includes: the drafting module of resistance to thermal map 12, for drawing resistance to thermal map and fiducial limit curve.Particularly, the data after the drafting module of resistance to thermal map 12 receives conversion, linear regression coeffficient, t distribute tantile, and draw resistance to thermal map and fiducial limit curve, then export resistance to thermal map and fiducial limit curve.
Calculation element 1 also includes: report generation module 13, for information such as the resistance to thermal map that will obtain and result of calculations with the form display translation of report.Particularly, report generation module 13 receives resistance to thermal map and fiducial limit curve, linear regression coeffficient, humidity index and half poor, and by the information such as resistance to thermal map and result of calculation that obtain with the form display translation of report.
It is more than the introduction about the construction about device 1.Next will introduce computing method in detail, comprise the following steps:
Check test data calculation process flow process
As shown in Figure 3, the method calculated for check test data comprises the following steps:
Step S1: be loaded into data, by data input data conversion module 2;
Step S2: judge that whether data are correct, namely the data of data conversion module 2 to input are verified, if data are wrong, then send prompting, and are back to step S1; If data are correct, then enter into next step;
Step S3: changed by the data of data disaply moudle 2 to input;
Step S4: show the data after conversion by data disaply moudle 3;
Step S5: checked data calculating coefficient is searched module 4 and arranged coefficient Alpha, Beta, Mu and Epsilon;
Step S6: judge whether by digging the tantile calculating F distribution and t distribution; If so, then step S7 is entered; If not, then step S8 is entered;
Step S7: dig the tantile calculating F and distribute by F distribution tantile computing module 5;
Step S8: if step S6 judged result is no, then by F distribution tantile table look-up module;
Step S9: checked data computation module 9 calculates checked data;
Step S10: draw resistance to thermal map and fiducial limit curve by the drafting module of resistance to thermal map 12;
Step S11: finally generate report by report generation module 13.
Nondestructive test data calculation process flow process
Step S101: data are loaded into data conversion module 2;
Step S102: judged by the data of data conversion module 2 to input; If data are correct, then enter next step S103; If the data of input are wrong, be then back to step S101, until the data of input correctly enter next step S103 again;
Step S103: changed by data conversion module 2 pairs of data;
Step S104: show the data after conversion by data disaply moudle 3;
Step S105: judged whether to obtain by approximate treatment the tantile that F distributes and t distributes by XXX, if so, then enter step S106; If not, then step S107 is entered;
Step S106: the tantile of the tantile computing module 6 approximate treatment F distribution that distributed by F;
Step S107: tabled look-up by F distribution tantile table look-up module 5 and obtain the tantile of F distribution;
Step S108: carry out data calculating by nondestructive test data computation module;
Step S109: draw resistance to thermal map by the drafting module of resistance to thermal map;
Step S110: generate report by report generation module 13
Destructive test data calculation process
Step S201: data are loaded into data conversion module 2;
Step S202: judge that whether data are correct by data conversion module 2, if so, then enter step S203, if not, then point out the data of loading wrong, get back to step S201, till being loaded into correct data;
Step S203: carry out data conversion, is namely changed the data received by data conversion module 2;
Step S204: carry out data display, is shown by data disaply moudle 3 pairs of data;
Step S205: data selection subroutine, selects suitable subroutine by data selecting module 11;
Step S206: judge whether, by digging the tantile calculating F distribution and t distribution, if so, then to enter step S207, if not, then enter step S208; By user or device automatic decision be by approximate treatment obtain F distribute and t distribute tantile or by lookup table mode obtain F distribute and t distribution tantile.
Step S207: the tantile of the tantile computing module 6 approximate treatment calculating F distribution that distributed by F, then enters step S209;
Step S208: the tantile being obtained F distribution by F distribution tantile computing module 6 by tabling look-up, then enters step S209;
Step S209: calculated by checked data computation module 4 pairs of data;
Step S210: draw resistance to thermal map by the drafting module of resistance to thermal map 12;
Step S211: generate report by report generation module 13.
The process flow diagram of data selection subroutine in destructive test data calculation process
Step S212: drawn (time m-ageing properties) the data point diagram under Current Temperatures by data point diagram drafting module 14;
Step S213: the series of points selecting linearly by data point selection module 15;
Step S214: whether the data selected by preliminary judgement are reasonable, if so, then enter step S215; If not, then step S213 is got back to;
Step S215: by data point fitting module 16, linear regression fit is carried out to selected point, and draw the straight line after matching;
Step S216: judge whether selected data meet the requirement of GB11026-3, if so, then enter step S217 by data point judge module 17; If not, then step S213 is turned back to;
Step S217: judge whether to screen the data group under each aging temperature? if so, then terminate; If not, then prepare the data under the next aging temperature of process, and turn back to step S213.
The above is only preferred embodiment of the present invention, not does any pro forma restriction to the present invention.Although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, make a little change when the technology contents of above-mentioned disclosure can be utilized or be modified to the Equivalent embodiments of equivalent variations, in every case be the content not departing from technical solution of the present invention, the any simple modification done above embodiment according to technical spirit of the present invention, equivalent variations and modification, all still belong in the scope of technical solution of the present invention.
Claims (8)
1. the calculation element for insulating material heat resistant feature parameter (1), is characterized in that, comprising: data conversion module (2), for inputting and judging that whether inputted experimental data is correct;
Data disaply moudle (3), for receive from data conversion module (2) data and show raw experimental data and conversion after data;
F distribution tantile searches module (5), for automatically searching F distribution tantile according to the data after conversion;
F distribution tantile computing module (6), for the tantile that distributes according to the data approximate treatment F after conversion;
T distribution tantile searches module (7), for automatically searching t distribution tantile according to the data after conversion;
T distribution tantile computing module (8), for the tantile that distributes according to the data approximate treatment t after conversion;
Checked data computation module (9), for calculating the linear regression coeffficient of aging temperature and time, humidity index and half poor;
Experimental data computing module (10), for calculating the linear regression coeffficient of aging temperature and time, humidity index and half poor;
The drafting module of resistance to thermal map (12), for drawing resistance to thermal map and fiducial limit curve; With
Report generation module (13), for information such as the resistance to thermal map that will obtain and result of calculations with the form display translation of report.
2., as claimed in claim 1 for the calculation element (1) of insulating material heat resistant feature parameter, it is characterized in that, comprise further:
Checked data calculating coefficient table look-up module (4), for arranging coefficient (Alpha, Beta, Mu, Epsilon).
3., as claimed in claim 1 or 2 for the calculation element (1) of insulating material heat resistant feature parameter, it is characterized in that, comprise further: data selecting module (11), for selecting adopted data.
4., as claimed in claim 3 for the calculation element (1) of insulating material heat resistant feature parameter, it is characterized in that, described data selecting module (11) comprises further:
Data point diagram drafting module (14), for drawing (time m-ageing properties) data point diagram of destructive test under each aging temperature;
Data point selection module (15), whether for selecting a series of data points linearly on (time m-ageing properties) data point diagram, and it is reasonable tentatively to judge to calculate the point selected;
Data point fitting module (16), for carrying out linear regression calculating to selected point, and the straight line draw matching on (time m-ageing properties) data point diagram after; With
Data point judge module (17), for judging whether selected data meet the demands, and and then exports satisfactory data point.
5. for computing method for insulating material heat resistant feature parameter, it is characterized in that, comprise the following steps:
Step S101: data are loaded into data conversion module (2);
Step S102: judged by the data of data conversion module (2) to input; If data are correct, then enter next step S103; If the data of input are wrong, be then back to step S101, until the data of input correctly enter next step S103 again;
Step S103: data are changed by data conversion module (2);
Step S104: show the data after conversion by data disaply moudle (3);
Step S105: judge whether the tantile being obtained F distribution and t distribution by approximate treatment, if so, then enter step S106; If not, then step S107 is entered;
Step S106: the tantile of tantile computing module (6) the approximate treatment F distribution that distributed by F;
Step S107: tabled look-up by F distribution tantile table look-up module (5) and obtain the tantile of F distribution;
Step S108: carry out data calculating by experimental data computing module (10);
Step S109: draw resistance to thermal map by the drafting module of resistance to thermal map (12);
Step S110: generate report by report generation module (13).
6. the computing method for insulating material heat resistant feature parameter according to claim 5, it is characterized in that, between step S104 and step S105, perform step S5: coefficient (Alpha, Beta, Mu, Epsilon) is set by checked data calculating coefficient table look-up module (4).
7. the computing method for insulating material heat resistant feature parameter according to claim 5, is characterized in that, between step S104 and step S105, perform step S205: carry out data selection by data selecting module (11).
8. the computing method for insulating material heat resistant feature parameter according to claim 7, it is characterized in that, step S205 comprises the following steps again:
Step S212: drawn (time m-ageing properties) the data point diagram under Current Temperatures by data point diagram drafting module (14);
Step S213: by data point selection module (15) selection series of points linearly;
Step S214: whether the data selected by judgement are reasonable, if so, then enter step S215; If not, then step S213 is got back to;
Step S215: by data point fitting module (16), linear regression fit is carried out to selected point, and draw the straight line after matching;
Step S216: whether the data selected by data point judge module (17) judges meet the requirement of GB11026-3, if so, then enter step S217; If not, then step S213 is turned back to;
Step S217: judge whether to screen the data group under each aging temperature; If so, then terminate; If not, then prepare the data under the next aging temperature of process, and turn back to step S213.
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| US20100240818A1 (en) * | 2006-03-15 | 2010-09-23 | Walton Kim L | Impact Modification of Thermoplastics with Ethylene/Alpha-Olefin Interpolymers |
| CN103591411A (en) * | 2013-09-11 | 2014-02-19 | 苏州源正热伏有限公司 | Adiabatic suspension |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20100240818A1 (en) * | 2006-03-15 | 2010-09-23 | Walton Kim L | Impact Modification of Thermoplastics with Ethylene/Alpha-Olefin Interpolymers |
| CN103591411A (en) * | 2013-09-11 | 2014-02-19 | 苏州源正热伏有限公司 | Adiabatic suspension |
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