4,, : Fig. 1 Research route of the topic,,,,,,,,,,, [4] π,,,, :,, ;,, Tab. 1 Key parameters of back frame header (SP1)/MW (SK1)/% (WP8)/MP

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1 JOURNAL OF SHANGHAI POLYTECHNIC UNIVERSITY Vol. 34 No. 4 Dec : (2017) DOI: /j.cnki.jsspu ,, (, ) :, ;,, ;,, ;,,,,, : ; ; ; : TP : A 0 ( ), 3,,,,, [1] 90,,, [2],,,,,, [3] 80,, 10,,,,,,,,,,,,,,,,,, ( 1) 1,, : : (1986 ),,,,, hhcheng@sspu.edu.cn : (EGD16XQD06), (XXKZD1603)

2 4,, : Fig. 1 Research route of the topic,,,,,,,,,,, [4] π,,,, :,, ;,, Tab. 1 Key parameters of back frame header (SP1)/MW (SK1)/% (WP8)/MPa (JT8)/ C (SL1)/mm (SW1)/mm (SH1)/mm (JH8)/mm (JD8)/mm (JL8)/mm (JX8)/mm (JG8)/mm (JJ8)/( ) X 1 (JJ9)/mm X 2 (JJA)/mm X 3 (JJB)/mm (JJF)/( ) 1 (JJC)/mm 2 (JJD)/mm 3 (JJE)/mm (JJG)/mm Y (JJH)/mm /mm a b c c e f g h i j k l m n o p q r s t u v

272 2017 34 JX8 JD8 JH8 x JJ8 JJ8 JJ8 JJ8 JJ8JJ8 JJB JJA JJ9 JJ9 JJAJJB z JJC y m j q u f b JL8 z o h l k n i s d p g r e t c v a JG8 JJE JJG JJG JJD JJE JJH 8 vut s rqponml k j i hgf edcba Fig.

3 JX8 JD8 JH8 x JJ8 JJ8 JJ8 JJ8 JJ8JJ8 JJB JJA JJ9 JJ9 JJAJJB z JJC y m j q u f b JL8 z o h l k n i s d p g r e t c v a JG8 JJE JJG JJG JJD JJE JJH 8 vut s rqponml k j i hgf edcba Fig. 2 2b N a 2 () The meaning of key parameters of back frame header-front view,,,, 2,,,,,,,,,,,, :,,,,,,,, 3 3 Fig. 3 The content of the knowledge base platform PLM, Teamcenter 3DExperience,,,,, PLM Teamcenter,,,

4 4,, : 273,,,,,,, 3,,,,,,,, NX,,,, [5], 2 :,,,,, ;,,,, 4, ;,,, NX [6], :, ; NX, : # DefClass: create 3d line(ug base part); # (String Parameter Modifiable ) M POINT STRING: 12,2,3;23,4,3;1,2,3;34,56,23 ; (number Parameter Modifiable) Radius:.1; (number Parameter Modifiable) dia:.2; (number Parameter Modifiable) th:.05; (number) in dia: dia:-th:*2; (list) my point s: SplitString( M POINT STRING:, ; ); # (list) point list: loop { for $S p in my point s:; for $p is SplitString( $S p,, ); for $x is makenumber(nth(1,$p)); for $y is makenumber(nth(2,$p)); for $z is makenumber(nth(3,$p)); for $P end is point($x,$y,$z); collect $p end; (integer) point num: Length( point list: ); # (Child) my method: { Class, cal point method; 4 Fig. 4 Complex points cloud data,,,, # (list) line points pre: loop { for $ii from 1 to point num:-2 by 1; for $p1 is nth( $ii, point list: ); for $p2 is nth($ii+1,point list:); for $p3 is nth($ii+2,point list:); for $re list is my method:my get value:($p1, $p2, $p3,

274 2017 34 Radius:); collect {nth(1,$re list),nth(2,$re list) (list) line points: {{0,first(point list:)}}+ line points pre:+{{last(point list:),0} # (Child list) sg line: { Class, ug line;

by 1; for $p1 is nth( $ii, point list: ); for $p2 is nth($ii+1,point list:); for $p3 is nth($ii+2,point list:); for $re list is my method:my get value:($p1, $p2, $p3, Radius:); collect {nth(1,$re

nth(child:index:,arc points:)); center, nth(3, nth(child:index:,arc points:)); x axis, nth(1, nth(child:index:,arc points:))-nth(3, nth(child:index:,arc points:)); y axis, nth(2, nth(child:index:,arc

5 Radius:); collect {nth(1,$re list),nth(2,$re list) (list) line points: {{0,first(point list:)}}+ line points pre:+{{last(point list:),0} # (Child list) sg line: { Class, ug line; quantity; Length( line points:)-1; Start Point,nth(2, nth(child:index:,line points:)); End Point, nth(1,nth(child:index:+1,line points:)); # (list) arc points: loop { for $ii from 1 to point num:-2 by 1; for $p1 is nth( $ii, point list: ); for $p2 is nth($ii+1,point list:); for $p3 is nth($ii+2,point list:); for $re list is my method:my get value:($p1, $p2, $p3, Radius:); collect {nth(1,$re list),nth(2,$re list),nth(3,$re list), nth(4,$re list) # (Child list) sg arc: { Class, ug arc; quantity; Length( arc points:); Radius, Radius:; start angle, 0; end angle, 180-nth(4, nth(child:index:,arc points:)); center, nth(3, nth(child:index:,arc points:)); x axis, nth(1, nth(child:index:,arc points:))-nth(3, nth(child:index:,arc points:)); y axis, nth(2, nth(child:index:,arc points:))-nth(3, nth(child:index:,arc points:)); (Method List) my get value:(point $p01, point $p02, Point $p03, number $x1 LocalX($p01); $y1 LocalY($p01); $z1 LocalZ($p01); $x2 LocalX($p02); $y2 LocalY($p02); $z2 LocalZ($p02); $x3 LocalX($p03); $y3 LocalY($p03); $z3 LocalZ($p03); $radius $rad; $l1 sqrt( ($x2-$x1)*($x2-$x1)+($y2-$y1)*($y2-$y1)+ ($z2-$z1)*($z2-$z1) ); $l2 sqrt( ($x3-$x2)*($x3-$x2)+($y3-$y2)*($y3-$y2)+ ($z3-$z2)*($z3-$z2)); $l3 sqrt( ($x3-$x1)*($x3-$x1)+($y3-$y1)*($y3-$y1)+ ($z3-$z1)*($z3-$z1)); $angle arccos(($l1*$l1+$l2*$l2-$l3*$l3)/(2*$l1*$l2)); $tt $radius/tan( $angle/2); $t1 $tt/$l1; $t2 $tt/$l2; $point t01 $p02+$t1*($p01-$p02); $point t02 $p02+$t2*($p03-$p02); $point mid $point t01+0.5*($point t02-$point t01); $k01 $tt*cos( $angle/2); $k02 $radius/sin( $angle/2); $kk $k02/$k01; $origin01 $p02+$kk*($point mid-$p02); $my list {$point t01, $point t02, $origin01, $angle,,, 5 # (Child) sg ug tube: { Class, ug tube; guide, sg arc:+sg line:; Outer Diameter, dia:; Inner Diameter, in dia:; # DefClass: cal point method (ug base part); Fig D model of the connected pipes

6 4,, : 275,, ;,,, [7-8] 4, 100 m,,,, ;,,,,,, ;,,,,,,, 0,,,,,, 6,,,,,,,,,,,,,,,, [9] 6 Fig. 6 The group frames of the supercritical boiler water wall after-cut 5,,, ;,,, ;,,,,,,,,,,,, : ;, [10], : [1]. [J]., 2014(26):

7 [2],,,. [J]., 2003, 23(3): [3]. [J]., 2005, 27(6): [4],,. [J]., 2010(9): [5],. UG [J]., 2008, 29(9): [6],,. [J]., 2005, 34(1): [7],. [J]., 2015(1): [8],. [J]., 2006(6): [9],,,. [J]., 2009, 30(6): [10] PENOYER J A, BURNETT G, FAWCETT D J, et al. Knowledge based product life cycle systems: Principles of integration of KBE and C3P [J]. Computer-Aided Design, 2000, 32(5): Knowledge Based Fast Design Research for Space Complex Pipelines Used in Supercritical Boiler CHENG Huihui, HE Yuan, HE Yafei (School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai , China) Abstract: The mature product based on their design experience and knowledge capitalization and define key configuration and key parameters for the products are analyzed. According to these key parameters and the relation between them, it can build the knowledge base platform for the product. The key parameters in the platform can define the product and generate detail points cloud data for the detail model based on the knowledge driven. These points cloud data can be leveraged by the complex pipeline generating algorithm. Based on a 3D CAD tool, it can quickly generate the 3D space pipeline model. Considered convenience of the production and manufacturability, huge pipelines will be automatic segmented according to the key level information, to different sub-groups which will be sent to the workshop. Based on the knowledge driven method, it can fast design the space complex pipeline of supercritical boiler with expert experience, and enhance the efficiency and quality. Keywords: knowledge base; space pipeline model; points cloud data; fast design

2 3. 1,,,.,., CAD,,,. : 1) :, 1,,. ; 2) :,, ; 3) :,; 4) : Fig. 1 Flowchart of generation and application of 3D2digital2building 2 :.. 3 : 1) :,

2 3. 1,,,.,., CAD,,,. : 1) :, 1,,. ; 2) :,, ; 3) :,; 4) : Fig. 1 Flowchart of generation and application of 3D2digital2building 2 :.. 3 : 1) :, 3 1 Vol. 3. 1 2008 2 CAA I Transactions on Intelligent Systems Feb. 2008, (,210093) :.,; 3., 3. :; ; ; ; : TP391 :A :167324785 (2008) 0120001208 A system f or automatic generation of 3D building models