CN103778253A - Data processing method and device for association in computer drawing - Google Patents
Data processing method and device for association in computer drawing Download PDFInfo
- Publication number
- CN103778253A CN103778253A CN201410062736.1A CN201410062736A CN103778253A CN 103778253 A CN103778253 A CN 103778253A CN 201410062736 A CN201410062736 A CN 201410062736A CN 103778253 A CN103778253 A CN 103778253A
- Authority
- CN
- China
- Prior art keywords
- affiliated partner
- incidence relation
- associated object
- geometry associativity
- relation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a data processing method and device for an association in a computer drawing. The data processing method for the association in the computer drawing comprises obtaining an association object in the computer drawing; obtaining the associated object of the association object; detecting whether the association between the association object and the associated object is normal; if not, restoring the association between the association object and the associated object to be normal. By means of the data processing method and device for the association in the computer drawing, the problem that whether a model accords with requirements of design standards is difficult to check in correlative techniques is solved.
Description
Technical field
The present invention relates to computer realm, in particular to a kind of data processing method and device for computing machine drawing incidence relation.
Background technology
Between affiliated partner in computing machine drawing and associated object, there is corresponding incidence relation.Due to the existence of this incidence relation, once the position of an affiliated partner changes in drawing, can there is corresponding variation based on pre-specified related information in the position of associated object associated therewith.
But incidence relation, after setting up, can forever not exist, it usually can suffer the destruction of human factor or physical factor and disappear.In correlation technique, after incidence relation is destroyed, can only rebuild it.
For in correlation technique after incidence relation is destroyed, the problem that can only rebuild it, not yet proposes effective solution at present.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of data processing method and device for computing machine drawing incidence relation, to solve the problem that is difficult to repair incidence relation destroyed in computing machine drawing in correlation technique.
To achieve these goals, according to an aspect of the present invention, provide a kind of data processing method for computing machine drawing incidence relation.The method comprises: obtain the affiliated partner in computing machine drawing; Obtain the associated object of affiliated partner; Whether the incidence relation between detection affiliated partner and associated object is normal; And if it is undesired to detect incidence relation between affiliated partner and associated object, is normal by the incidence relation reparation between affiliated partner and associated object.
Further, affiliated partner comprises geometry associativity object, incidence relation comprises geometry associativity relation, the affiliated partner obtaining in computing machine drawing comprises: obtain the geometry associativity object in computing machine drawing, the associated object that obtains affiliated partner comprises: in preset range, search multiple objects undetermined, judge whether meeting geometric incidence relation of multiple objects undetermined, if judge multiple object meeting geometric incidence relations undetermined, calculate respectively the distance between multiple objects undetermined and geometry associativity object, using and geometry associativity object between the object undetermined of distance minimum as the first associated object, whether the incidence relation detecting between affiliated partner and associated object normally comprises: whether the geometry associativity relation between detection geometry associativity object and the first associated object is normal, if it is undesired to detect incidence relation between affiliated partner and associated object, by the incidence relation reparation between affiliated partner and associated object for normally to comprise: if the geometry associativity relation between geometry associativity object and the first associated object of detecting is undesired, the geometry associativity between geometry associativity object and the first associated object is related to reparation is for normal.
Further, the associated object that obtains affiliated partner comprises: search by the shape information of affiliated partner and/or the identification information of affiliated partner the object matching with affiliated partner; Whether the data message of the object that judges the data message of affiliated partner and match with affiliated partner is identical; And if it is identical with the data message of the object matching with affiliated partner to judge the data message of affiliated partner, using the object matching as associated object.
Further, affiliated partner comprises the affiliated partner that meets default style, and incidence relation comprises style incidence relation, and the associated object that obtains affiliated partner comprises: from the presets list, search the object that meets default style; Whether the object that judgement meets default style matches with affiliated partner; Match if judge the object and the affiliated partner that meet default style, using the object that meets default style as the second associated object; If and/or judge the object that meets default style and do not mate with affiliated partner, generate the second associated object.
Further, by the incidence relation reparation between affiliated partner and associated object be normal after, the method also comprises: carry out mark processing to repairing for normal incidence relation, obtain mark incidence relation; Show tags incidence relation; And/or the report for normal incidence relation is repaired in generation.
To achieve these goals, according to a further aspect in the invention, provide a kind of data processing equipment for computing machine drawing incidence relation.This device comprises: the first acquiring unit, for obtaining the affiliated partner of computing machine drawing; Second acquisition unit, for obtaining the associated object of affiliated partner; Whether detecting unit is normal for detection of the incidence relation between affiliated partner and associated object; And reparation unit, if undesired for detecting incidence relation between affiliated partner and associated object, would be normal by the incidence relation reparation between affiliated partner and associated object.
Further, affiliated partner comprises geometry associativity object, and incidence relation comprises geometry associativity relation, and the first acquiring unit is also for obtaining the geometry associativity object of computing machine drawing, second acquisition unit comprises: first searches module, for search multiple objects undetermined in preset range; The first judge module, for judging whether meeting geometric incidence relation of multiple objects undetermined; Computing module, if for judging multiple object meeting geometric incidence relations undetermined, calculate respectively the distance between multiple objects undetermined and geometry associativity object; The first determination module, for using and geometry associativity object between the object undetermined of distance minimum as the first associated object, whether detecting unit is also normal for detection of the geometry associativity relation between geometry associativity object and the first associated object, if it is also undesired for detecting geometry associativity relation between geometry associativity object and the first associated object to repair unit, the geometry associativity between geometry associativity object and the first associated object is related to reparation is for normal.
Further, second acquisition unit comprises: second searches module, searches the object matching with affiliated partner for the identification information of the shape information by affiliated partner and/or affiliated partner; Whether the second judge module is identical for the data message of the object that judges the data message of affiliated partner and match with affiliated partner; And second determination module, if identical with the data message of the object matching with affiliated partner for judging the data message of affiliated partner, using the object matching as associated object.
Further, affiliated partner comprises and meets default style affiliated partner, and incidence relation comprises style incidence relation, and second acquisition unit comprises: the 3rd searches module, for search the object that meets default style from the presets list; The 3rd judge module, whether the object that meets default style for judging matches with affiliated partner; The 3rd confirms module, matches, using the object that meets default style as the second associated object if meet object and the affiliated partner of default style for judging; And/or generation module, do not mate with affiliated partner if meet the object of default style for judging, generate the second associated object.
Further, this device also comprises: indexing unit, for by the incidence relation reparation between affiliated partner and associated object be normal after, carry out mark processing to repairing for normal incidence relation, obtain mark incidence relation; Display unit, for show tags incidence relation; And/or generation unit, for generating the report of repairing as normal incidence relation.
By the present invention, adopt the affiliated partner obtaining in computing machine drawing; Obtain the associated object of affiliated partner; Whether the incidence relation between detection affiliated partner and associated object is normal; And if it is undesired to detect incidence relation between affiliated partner and associated object, be normal by the incidence relation reparation between affiliated partner and associated object, solve after incidence relation is destroyed, the problem that can only rebuild it, and then reached after incidence relation is destroyed, repaired as normal effect.
Accompanying drawing explanation
The accompanying drawing that forms the application's a part is used to provide a further understanding of the present invention, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is according to the schematic diagram of the data processing equipment for computing machine drawing incidence relation of the embodiment of the present invention;
Fig. 2 is the schematic diagram for the data processing equipment of computing machine drawing incidence relation according to the preferred embodiment of the invention;
Fig. 3 is according to the process flow diagram of the data processing method for computing machine drawing incidence relation of the embodiment of the present invention; And
Fig. 4 is the process flow diagram for the data processing method of computing machine drawing incidence relation according to the preferred embodiment of the invention.
Embodiment
It should be noted that, in the situation that not conflicting, the feature in embodiment and embodiment in the application can combine mutually.Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
In order to make those skilled in the art better understand the present invention program, below in conjunction with the accompanying drawing in the embodiment of the present invention, to being clearly and completely described in the embodiment of the present invention, obviously, described embodiment is only the embodiment of a part of the present invention, rather than whole embodiment.Based on the embodiment in the present invention, do not make the every other embodiment obtaining under creative work prerequisite those of ordinary skills, all should belong to protection scope of the present invention.
It should be noted that, term " first ", " second " etc. in instructions of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and needn't be used for describing specific order or precedence.The data that should be appreciated that such use suitably can exchanged in situation, so as embodiments of the invention described herein can with except diagram here or describe those order enforcement.In addition, term " comprises " and " having " and their any distortion, is intended to be to cover not exclusive comprising.
According to embodiments of the invention, a kind of data processing equipment for computing machine drawing incidence relation is provided, this data processing equipment that is used for computing machine drawing incidence relation, for after the incidence relation of computing machine drawing is destroyed, is repaired as normal.
Fig. 1 is according to the schematic diagram of the data processing equipment for computing machine drawing incidence relation of the embodiment of the present invention.
As shown in Figure 1, this device comprises: the first acquiring unit 10, second acquisition unit 20, detecting unit 30 and reparation unit 40.
The first acquiring unit 10 is for obtaining the affiliated partner of computing machine drawing.
Computing machine drawing can comprise historical drawing and current drawing, and wherein, historical drawing refers to the drawing that completed drafting before current time, and current drawing refers to the drawing that current time is being drawn.Computing machine drawing can be drawn by computer drawing software, and that computer drawing software can comprise is multiple, and for example, computer drawing software can be CAD mapping software.It should be noted that, if the content of drawing in drawing likens a set to, this forms an element of this set to affiliated partner.For example, if the content of the drafting in drawing is a square, affiliated partner can be served as in this foursquare any limit and any one angle.Affiliated partner is corresponding with associated object, and both are the object being plotted in same computing machine drawing, and each affiliated partner can comprise one or more associated object.In addition, affiliated partner can comprise polytype.
The first acquiring unit 10 can obtain affiliated partner in the following manner:
Mode one can be obtained affiliated partner from computing machine drawing, wherein, can from whole computing machine drawing, obtain affiliated partner, also can from the predetermined region of computing machine drawing, obtain affiliated partner.
Particularly, before the affiliated partner obtaining in computing machine drawing: first, can detect the OPEN that whether needs to carry out historical drawing; Secondly, if the OPEN that need to carry out historical drawing detected, open historical drawing, wherein, after opening historical drawing, can from the historical drawing that this is opened, obtain affiliated partner; And if the OPEN that does not need to carry out historical drawing detected, detect whether have the current drawing of drawing or the historical drawing of having opened; If the current drawing that existence is being drawn or the historical drawing of having opened detected, can from the current drawing of drawing or the historical drawing of having opened, obtain affiliated partner.
Mode two can be obtained affiliated partner from the affiliated partner list of computing machine drawing.
Particularly, the affiliated partner in can traversal of lists is to obtain the whether normal affiliated partner of incidence relation that needs to analyze with associated object.
In sum, can from the historical drawing of opening or the current drawing of drawing, obtain affiliated partner, or can from affiliated partner list, obtain affiliated partner.
Second acquisition unit 20 is for obtaining the associated object of affiliated partner.
In embodiments of the present invention, second acquisition unit 20 can obtain based on following mode the associated object of affiliated partner:
Mode one, the associated object of position-based Relation acquisition affiliated partner.For example, can, take affiliated partner as the center of circle, in the border circular areas take preset length as radius, obtain the associated object of affiliated partner.
Mode two, the characteristic information based on affiliated partner obtains the associated object of affiliated partner.Wherein, the characteristic information of affiliated partner can comprise shape information and the data message of affiliated partner, for example, and in the time that affiliated partner is a foursquare limit, this affiliated partner be shaped as a line segment, and data corresponding to this shape can be length and the width etc. of this line segment.
Mode three, the additional information based on affiliated partner is obtained the associated object of affiliated partner.Wherein, additional information can comprise the mark ID of affiliated partner.
Mode four, the associated object of the object acquisition affiliated partner of specifying based on user.Wherein, the object of this appointment is associated object.Particularly, first, software front end can be accepted the reparation order with the object of specifying that user sends; Secondly, the object that software front end can go out to specify according to this reparation command analysis, obtains analysis object; Then the associated object that, software front end can be using this analysis object as affiliated partner.
Mode five, obtains the associated object of affiliated partner based on the satisfied style information of affiliated partner.Wherein, the satisfied style information of affiliated partner can comprise affiliated partner colouring information and status information etc.For example, when affiliated partner is a bowlder, its satisfied style can comprise the line style of round line color and circle etc.
It should be noted that, mode one is identical to the type of the affiliated partner in mode four, and this affiliated partner can be the affiliated partner of geometry associativity object type; Affiliated partner in mode five can be the affiliated partner that meets the affiliated partner type of default style.
Whether detecting unit 30 is normal for detection of the incidence relation between affiliated partner and associated object.
Particularly, whether detecting unit 30 can to detect in the following manner incidence relation between affiliated partner and associated object normal:
Mode one, the position of change affiliated partner, detects associated object whether predetermined change occurs.If detect that predetermined change occurs associated object, the incidence relation between affiliated partner and associated object is normal.If detect that predetermined change do not occur associated object, the incidence relation between affiliated partner and associated object is undesired.
Particularly, if only the changing in position of associated object, the relative position of associated object and affiliated partner does not change.For example, in a circle with circumference and radius, circumference can be affiliated partner, and radius can be associated object, and in the time of the change in location of circumference, the position of radius also changes, and the relative position of radius and circumference remains unchanged.
Mode two, the data message of change affiliated partner, detects associated object whether predetermined change occurs.If detect that predetermined change occurs associated object, the incidence relation between affiliated partner and associated object is normal.If detect that predetermined change do not occur associated object, the incidence relation between affiliated partner and associated object is undesired.
Particularly, at this, associated object can be the dimension information of affiliated partner.If affiliated partner changes on data message, associated object is changed into pre-set dimension.For example, affiliated partner is a line segment, the size that associated object is this line segment, and this size is for representing the length of this line segment, and when line segment is when 1 centimetre becomes 2 centimetres, the size of this line segment is 1 centimetre before variation, is 2 centimetres after variation.
Mode three, position and/or the data message of change affiliated partner, detect no the changing of associated object that meets default style.If detect that the associated object that meets default style changes, the incidence relation between affiliated partner and associated object is undesired.If detect that the associated object that meets default style does not change, the incidence relation between affiliated partner and associated object is normal.For example, a line segment, is changing before position, and its associated object---color be red, if after change position, its associated object---color is other colors, line segment and its associated object---the incidence relation between color is undesired; If changing after position, its associated object---color be redness, line segment and its associated object---the incidence relation between color is normal.
If it is undesired for detecting incidence relation between affiliated partner and associated object to repair unit 40, is normal by the incidence relation reparation between affiliated partner and associated object.
Particularly, repairing unit 40 is to carry out normally following steps by the incidence relation reparation between affiliated partner and associated object: the associated object that first obtains affiliated partner, next searches incidence relation information table, obtain default incidence relation, then the default incidence relation based on finding is normal by the incidence relation reparation between affiliated partner and associated object.Wherein, obtain the mode of the associated object of affiliated partner and tell about above, do not repeat them here.
It should be noted that, in the time searching less than default incidence relation in incidence relation information table, can first generate the default incidence relation of affiliated partner and associated object, then based on generate default incidence relation be normal by the incidence relation reparation between affiliated partner and associated object.Preferably, the default incidence relation generating can be stored in incidence relation information table.
By the embodiment of the present invention, reach after incidence relation is destroyed, repaired as normal effect, and then can be realized the batch modification of computing machine drawing, improve the work efficiency of revisions on drawings, and promote the intelligent management level of drawing.
Fig. 2 is the schematic diagram for the data processing equipment of computing machine drawing incidence relation according to the preferred embodiment of the invention.
As shown in Figure 2, this embodiment can be used as preferred implementation embodiment illustrated in fig. 1, the data processing equipment for computing machine drawing incidence relation of this embodiment comprises the first acquiring unit 10, second acquisition unit 20, the detecting unit 30 of the first embodiment and repairs unit 40, wherein, second acquisition unit 20 comprises that first searches module 201, the first judge module 202, computing module 203 and the first determination module 204.
In embodiments of the present invention, affiliated partner can comprise geometry associativity object, and incidence relation can comprise geometry associativity relation.
The first acquiring unit 10 is also for obtaining the geometry associativity object of computing machine drawing.
The first acquiring unit 10 can obtain geometry associativity object from the historical drawing of opening or the current drawing of drawing, or can from affiliated partner list, obtain geometry associativity object, concrete obtain manner is similar with above-described embodiment, does not repeat them here.Preferably, before the geometry associativity object obtaining in computing machine drawing, can first other the non-geometry associativity object filters in computing machine drawing be fallen.
First searches module 201 for search multiple objects undetermined in preset range.
It should be noted that, the leading point of multiple objects undetermined is positioned in the unique point of geometry associativity object.
Particularly, first search module 201 and can obtain in the following manner the object multiple undetermined in computing machine drawing:
Mode one, searches for based on predeterminable area scope, is met the object multiple undetermined of default related information.For example, can, take geometry associativity object as the center of circle, in the border circular areas take preset length as radius, search for, be met the object multiple undetermined of default related information.
Mode two, successively outwards search, is met the object multiple undetermined of presetting related information.For example, can be take geometry associativity object as the center of circle, the multiple preset length that increase progressively take equal difference are searched in multiple border circular areas of radius, are met the object multiple undetermined of default related information.
The first judge module 202 is for judging whether meeting geometric incidence relation of multiple objects undetermined.
For example, if affiliated partner is circle, multiple objects undetermined are many line segments, can judge whether many line segments meet this geometry associativity relation of radius of a circle, wherein, if the length value of many line segments equates with the value of radius of a circle, can judge many line segments and meet this geometry associativity relation of radius of a circle.If the value of the length value of many line segments and radius of a circle is unequal, can judges many line segments and not meet this geometry associativity relation of radius of a circle.
If computing module 203, for judging multiple object meeting geometric incidence relations undetermined, calculates respectively the distance between multiple objects undetermined and geometry associativity object.
Particularly, can calculate multiple objects undetermined geometric center or and the immediate point of geometry associativity object and geometry associativity object on preset between distance, obtain multiple distance values.Preset can be the central point of geometry associativity object.For example, can calculate the distance between the central point on geometric center and the geometry associativity object of multiple objects undetermined.Preferably, after obtaining multiple distance values, can multiple distance values be sorted according to magnitude relationship, obtain a distance value ordered series of numbers.
The first determination module 204 for using and geometry associativity object between the object undetermined of distance minimum as the first associated object.
Preferably, first can from distance value ordered series of numbers, search the distance value of numerical value minimum, secondly can obtain one or more object undetermined corresponding to distance value of numerical value minimum, then using the object arbitrary undetermined in the one or more corresponding distance value of numerical value minimum object undetermined as the first associated object.
It should be noted that, if mode one and mode two can only find an object undetermined, the associated object using this object undetermined as geometry associativity object.
Whether detecting unit 30 is also normal for detection of the geometry associativity relation between geometry associativity object and the first associated object.
Particularly, whether detecting unit 30 can to detect in the following manner geometry associativity relation between geometry associativity object and the first associated object normal:
Mode one, the position of change geometry associativity object, detects by the first affiliated partner whether predetermined change occurs.If detect that predetermined change occurs the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is normal.If detect that predetermined change do not occur the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is undesired.
Particularly, if only the changing in position of the first associated object, the relative position of the first associated object and geometry associativity object does not change.For example, in a circle with circumference and radius, circumference can be geometry associativity object, and radius can be the first associated object, and in the time of the change in location of circumference, the position of radius also changes, and the relative position of radius and circumference remains unchanged.
Mode two, the data message of change geometry associativity object, detects the first associated object whether predetermined change occurs.If detect that predetermined change occurs the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is normal.If detect that predetermined change do not occur the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is undesired.
Particularly, at this, the first associated object can be the dimension information of geometry associativity object.If geometry associativity object changes on data message, the first associated object is changed into pre-set dimension.For example, geometry associativity object is a line segment, the size that the first associated object is this line segment, and this size is for representing the length of this line segment, and when line segment is when 1 centimetre becomes 2 centimetres, the size of this line segment is 1 centimetre before variation, is 2 centimetres after variation.
If it is also undesired for detecting geometry associativity relation between geometry associativity object and the first associated object to repair unit 40, the geometry associativity between geometry associativity object and the first associated object is related to reparation is for normal.
Particularly, incidence relation information table can comprise geometry associativity relation information table.Geometry associativity between geometry associativity object and the first associated object is related to reparation is that normal step can comprise: the first associated object that first obtains geometry associativity object, next searches geometry associativity relation information table, obtain default geometry associativity relation, then based on the default incidence relation of the geometry finding, the geometry associativity between geometry associativity object and the first associated object is related to reparation is for normal.Wherein, obtain the mode of the first associated object of geometry associativity object and tell about above, do not repeat them here.
It should be noted that, when searching in geometry associativity relation information table while being related to less than default geometry associativity, can first generate the default geometry associativity relation of geometry associativity object and the first associated object, then default geometry associativity relation based on generating is related to that by the geometry associativity between geometry associativity object and the first associated object reparation is for normal.Preferably, can be by the default geometry associativity relational storage generating in geometry associativity relation information table.
By the embodiment of the present invention, reach after geometry associativity relation is destroyed, repaired as normal effect, and then can be realized the batch modification of computing machine drawing, improve the work efficiency of revisions on drawings, and promote the intelligent management level of drawing.
Alternatively, in embodiments of the present invention, when affiliated partner can comprise geometry associativity object, affiliated partner can comprise the first associated object, incidence relation can comprise that, when geometry associativity is related to, second acquisition unit 20 can comprise: second searches module, the second judge module and the second determination module.
Second searches module searches the object matching with affiliated partner for the identification information of the shape information by affiliated partner and/or affiliated partner.
It should be noted that, search by the shape information of affiliated partner and/or the identification information of affiliated partner the object matching with affiliated partner and comprise three kinds of situations: situation one, search the object matching with affiliated partner by the shape information of affiliated partner, matching for matching in shape now; Situation two, searches the object matching with affiliated partner by the identification information of affiliated partner, now match for mark on match; Situation three, searches by the shape information of affiliated partner and the identification information of affiliated partner the object matching with affiliated partner, now match in shape with mark on all matching.
Whether the second judge module is identical with the data message of the object that matches with affiliated partner for judging the data message of affiliated partner.
Wherein, when the data of the object matching when the data of affiliated partner with affiliated partner equate, judge the data message of affiliated partner identical with the data message of the object matching with affiliated partner, otherwise not identical.
For example, a circle can be geometry associativity object, article one, line segment can be the first associated object, if this radius of a circle is 10 centimetres, when line segment length is 10 centimetres, the data message that can judge round data message and line segment is identical, otherwise it is identical to judge the data message of round data message and line segment.
If the second determination module is identical with the data message of the object matching with affiliated partner for judging the data message of affiliated partner, using the object matching as associated object.
Alternatively, in embodiments of the present invention, affiliated partner can comprise the affiliated partner that meets default style, and incidence relation can comprise style incidence relation, and second acquisition unit can comprise: the 3rd searches module, the 3rd judge module, the 3rd confirmation module and/or generation module.The 3rd searches module for search the object that meets default style from the presets list.Default style can comprise color, line style etc.Wherein, line style can comprise the actual situation of line thickness and lines.The 3rd judge module is for judging whether the object that meets default style matches with affiliated partner.If the 3rd confirmation module meets object and the affiliated partner of default style and matches for judging, using the object that meets default style as the second associated object.Do not mate with affiliated partner if generation module meets the object of default style for judging, generate the second associated object.It should be noted that, affiliated partner herein can be style manager.
Alternatively, this data processing equipment can also comprise: indexing unit, display unit and/or generation unit.Particularly, indexing unit for by the incidence relation reparation between affiliated partner and associated object be normal after, reparation is carried out to mark processing for normal incidence relation, obtain mark incidence relation.For example, carry out color mark for normal incidence relation, the incidence relation of color that obtained mark to repairing.Display unit at mapping software show tags incidence relation.Generation unit is for generating the report of repairing as normal incidence relation.
According to embodiments of the invention, a kind of data processing method for computing machine drawing incidence relation is provided, this data processing method that is used for computing machine drawing incidence relation, for after the incidence relation of computing machine drawing is destroyed, is repaired as normal.This data processing method that is used for computing machine drawing incidence relation may operate in computer-processing equipment.It should be noted that, the data processing method for computing machine drawing incidence relation that the embodiment of the present invention provides can be carried out by the data processing equipment for computing machine drawing incidence relation of the embodiment of the present invention, and the data processing equipment for computing machine drawing incidence relation of the embodiment of the present invention also can be for carrying out the data processing method for computing machine drawing incidence relation of the embodiment of the present invention.
Fig. 3 is according to the process flow diagram of the data processing method for computing machine drawing incidence relation of the embodiment of the present invention.
As shown in Figure 3, the method comprises that following step S302 is to step S308:
Step S302, obtains the affiliated partner in computing machine drawing.
Computing machine drawing can comprise historical drawing and current drawing, and wherein, historical drawing refers to the drawing that completed drafting before current time, and current drawing refers to the drawing that current time is being drawn.Computing machine drawing can be drawn by computer drawing software, and that computer drawing software can comprise is multiple, and for example, computer drawing software can be CAD mapping software.It should be noted that, if the content of drawing in drawing likens a set to, this forms an element of this set to affiliated partner.For example, if the content of the drafting in drawing is a square, affiliated partner can be served as in this foursquare any limit and any one angle.Affiliated partner is corresponding with associated object, and both are the object being plotted in same computing machine drawing, and each affiliated partner can comprise one or more associated object.In addition, affiliated partner can comprise polytype.
Can obtain in the following manner affiliated partner:
Mode one can be obtained affiliated partner from computing machine drawing, wherein, can from whole computing machine drawing, obtain affiliated partner, also can from the predetermined region of computing machine drawing, obtain affiliated partner.
Particularly, before the affiliated partner obtaining in computing machine drawing: first, can detect the OPEN that whether needs to carry out historical drawing; Secondly, if the OPEN that need to carry out historical drawing detected, open historical drawing, wherein, after opening historical drawing, can from the historical drawing that this is opened, obtain affiliated partner; And if the OPEN that does not need to carry out historical drawing detected, detect whether have the current drawing of drawing or the historical drawing of having opened; If the current drawing that existence is being drawn or the historical drawing of having opened detected, can from the current drawing of drawing or the historical drawing of having opened, obtain affiliated partner.
Mode two can be obtained affiliated partner from the affiliated partner list of computing machine drawing.
Particularly, the affiliated partner in can traversal of lists is to obtain the whether normal affiliated partner of incidence relation that needs to analyze with associated object.
In sum, can from the historical drawing of opening or the current drawing of drawing, obtain affiliated partner, or can from affiliated partner list, obtain affiliated partner.
Step S304, obtains the associated object of affiliated partner.
In embodiments of the present invention, can obtain based on following mode the associated object of affiliated partner:
Mode one, the associated object of position-based Relation acquisition affiliated partner.For example, can, take affiliated partner as the center of circle, in the border circular areas take preset length as radius, obtain the associated object of affiliated partner.
Mode two, the characteristic information based on affiliated partner obtains the associated object of affiliated partner.Wherein, the characteristic information of affiliated partner can comprise shape information and the data message of affiliated partner, for example, and in the time that affiliated partner is a foursquare limit, this affiliated partner be shaped as a line segment, and data corresponding to this shape can be length and the width etc. of this line segment.
Mode three, the additional information based on affiliated partner is obtained the associated object of affiliated partner.Wherein, additional information can comprise the mark ID of affiliated partner.
Mode four, the associated object of the object acquisition affiliated partner of specifying based on user.Wherein, the object of this appointment is associated object.Particularly, first, software front end can be accepted the reparation order with the object of specifying that user sends; Secondly, the object that software front end can go out to specify according to this reparation command analysis, obtains analysis object; Then the associated object that, software front end can be using this analysis object as affiliated partner.
Mode five, obtains the associated object of affiliated partner based on the satisfied style information of affiliated partner.Wherein, the satisfied style information of affiliated partner can comprise affiliated partner colouring information and status information etc.For example, when affiliated partner is a bowlder, its satisfied style can comprise the line style of round line color and circle etc.
It should be noted that, mode one is identical to the type of the affiliated partner in mode four, and this affiliated partner can be the affiliated partner of geometry associativity object type; Affiliated partner in mode five can be the affiliated partner that meets the affiliated partner type of default style.
Step S306, whether the incidence relation between detection affiliated partner and associated object is normal.
Particularly, whether normally can detect in the following manner incidence relation between affiliated partner and associated object:
Mode one, the position of change affiliated partner, detects associated object whether predetermined change occurs.If detect that predetermined change occurs associated object, the incidence relation between affiliated partner and associated object is normal.If detect that predetermined change do not occur associated object, the incidence relation between affiliated partner and associated object is undesired.
Particularly, if only the changing in position of associated object, the relative position of associated object and affiliated partner does not change.For example, in a circle with circumference and radius, circumference can be affiliated partner, and radius can be associated object, and in the time of the change in location of circumference, the position of radius also changes, and the relative position of radius and circumference remains unchanged.
Mode two, the data message of change affiliated partner, detects associated object whether predetermined change occurs.If detect that predetermined change occurs associated object, the incidence relation between affiliated partner and associated object is normal.If detect that predetermined change do not occur associated object, the incidence relation between affiliated partner and associated object is undesired.
Particularly, at this, associated object can be the dimension information of affiliated partner.If affiliated partner changes on data message, associated object is changed into pre-set dimension.For example, affiliated partner is a line segment, the size that associated object is this line segment, and this size is for representing the length of this line segment, and when line segment is when 1 centimetre becomes 2 centimetres, the size of this line segment is 1 centimetre before variation, is 2 centimetres after variation.
Mode three, position and/or the data message of change affiliated partner, detect no the changing of associated object that meets default style.If detect that the associated object that meets default style changes, the incidence relation between affiliated partner and associated object is undesired.If detect that the associated object that meets default style does not change, the incidence relation between affiliated partner and associated object is normal.For example, a line segment, is changing before position, and its associated object---color be red, if after change position, its associated object---color is other colors, line segment and its associated object---the incidence relation between color is undesired; If changing after position, its associated object---color be redness, line segment and its associated object---the incidence relation between color is normal.
Step S308, if it is undesired to detect incidence relation between affiliated partner and associated object, is normal by the incidence relation reparation between affiliated partner and associated object.
Particularly, it is that normal step can comprise by the incidence relation reparation between affiliated partner and associated object: the associated object that first obtains affiliated partner, next searches incidence relation information table, obtain default incidence relation, then the default incidence relation based on finding is normal by the incidence relation reparation between affiliated partner and associated object.Wherein, obtain the mode of the associated object of affiliated partner and tell about above, do not repeat them here.
It should be noted that, in the time searching less than default incidence relation in incidence relation information table, can first generate the default incidence relation of affiliated partner and associated object, then based on generate default incidence relation be normal by the incidence relation reparation between affiliated partner and associated object.Preferably, the default incidence relation generating can be stored in incidence relation information table.
By the embodiment of the present invention, reach after incidence relation is destroyed, repaired as normal effect, and then can be realized the batch modification of computing machine drawing, improve the work efficiency of revisions on drawings, and promote the intelligent management level of drawing.
Fig. 4 is the process flow diagram for the data processing method of computing machine drawing incidence relation according to the preferred embodiment of the invention.
As shown in Figure 4, this data processing method that is used for computing machine drawing incidence relation comprises that following step S402 is to step S414, and this embodiment can be used as preferred implementation embodiment illustrated in fig. 3.
In embodiments of the present invention, affiliated partner can comprise geometry associativity object, and incidence relation can comprise geometry associativity relation.
Step S402, obtains the geometry associativity object in computing machine drawing.
Can from the historical drawing of opening or the current drawing of drawing, obtain geometry associativity object, or can from affiliated partner list, obtain geometry associativity object, concrete obtain manner is similar with above-described embodiment, does not repeat them here.Preferably, before the geometry associativity object obtaining in computing machine drawing, can first other the non-geometry associativity object filters in computing machine drawing be fallen.
Step S404 searches multiple objects undetermined in preset range.
It should be noted that, the leading point of multiple objects undetermined is positioned in the unique point of geometry associativity object.
Particularly, can obtain in the following manner the object multiple undetermined in computing machine drawing:
Mode one, searches for based on predeterminable area scope, is met the object multiple undetermined of default related information.For example, can, take geometry associativity object as the center of circle, in the border circular areas take preset length as radius, search for, be met the object multiple undetermined of default related information.
Mode two, successively outwards search, is met the object multiple undetermined of presetting related information.For example, can be take geometry associativity object as the center of circle, the multiple preset length that increase progressively take equal difference are searched in multiple border circular areas of radius, are met the object multiple undetermined of default related information.
Step S406, judges whether meeting geometric incidence relation of multiple objects undetermined.
For example, if affiliated partner is circle, multiple objects undetermined are many line segments, can judge whether many line segments meet this geometry associativity relation of radius of a circle, wherein, if the length value of many line segments equates with the value of radius of a circle, can judge many line segments and meet this geometry associativity relation of radius of a circle.If the value of the length value of many line segments and radius of a circle is unequal, can judges many line segments and not meet this geometry associativity relation of radius of a circle.
Step S408, if judge multiple object meeting geometric incidence relations undetermined, calculates respectively the distance between multiple objects undetermined and geometry associativity object.
Particularly, can calculate multiple objects undetermined geometric center or and the immediate point of geometry associativity object and geometry associativity object on preset between distance, obtain multiple distance values.Preset can be the central point of geometry associativity object.For example, can calculate the distance between the central point on geometric center and the geometry associativity object of multiple objects undetermined.Preferably, after obtaining multiple distance values, can multiple distance values be sorted according to magnitude relationship, obtain a distance value ordered series of numbers.
Step S410, using and geometry associativity object between the object undetermined of distance minimum as the first associated object.
Preferably, first can from distance value ordered series of numbers, search the distance value of numerical value minimum, secondly can obtain one or more object undetermined corresponding to distance value of numerical value minimum, then using the object arbitrary undetermined in the one or more corresponding distance value of numerical value minimum object undetermined as the first associated object.
It should be noted that, if mode one and mode two can only find an object undetermined, the associated object using this object undetermined as geometry associativity object.
Step S412, whether the geometry associativity relation between detection geometry associativity object and the first associated object is normal.
Particularly, whether normally can detect in the following manner geometry associativity relation between geometry associativity object and the first associated object:
Mode one, the position of change geometry associativity object, detects by the first affiliated partner whether predetermined change occurs.If detect that predetermined change occurs the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is normal.If detect that predetermined change do not occur the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is undesired.
Particularly, if only the changing in position of the first associated object, the relative position of the first associated object and geometry associativity object does not change.For example, in a circle with circumference and radius, circumference can be geometry associativity object, and radius can be the first associated object, and in the time of the change in location of circumference, the position of radius also changes, and the relative position of radius and circumference remains unchanged.
Mode two, the data message of change geometry associativity object, detects the first associated object whether predetermined change occurs.If detect that predetermined change occurs the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is normal.If detect that predetermined change do not occur the first associated object, the geometry associativity relation between geometry associativity object and the first associated object is undesired.
Particularly, at this, the first associated object can be the dimension information of geometry associativity object.If geometry associativity object changes on data message, the first associated object is changed into pre-set dimension.For example, geometry associativity object is a line segment, the size that the first associated object is this line segment, and this size is for representing the length of this line segment, and when line segment is when 1 centimetre becomes 2 centimetres, the size of this line segment is 1 centimetre before variation, is 2 centimetres after variation.
Step S414, if the geometry associativity relation between geometry associativity object and the first associated object of detecting is undesired, is related to the geometry associativity between geometry associativity object and the first associated object that reparation is for normal.
Particularly, incidence relation information table can comprise geometry associativity relation information table.Geometry associativity between geometry associativity object and the first associated object is related to reparation is that normal step can comprise: the first associated object that first obtains geometry associativity object, next searches geometry associativity relation information table, obtain default geometry associativity relation, then based on the default incidence relation of the geometry finding, the geometry associativity between geometry associativity object and the first associated object is related to reparation is for normal.Wherein, obtain the mode of the first associated object of geometry associativity object and tell about above, do not repeat them here.
It should be noted that, when searching in geometry associativity relation information table while being related to less than default geometry associativity, can first generate the default geometry associativity relation of geometry associativity object and the first associated object, then default geometry associativity relation based on generating is related to that by the geometry associativity between geometry associativity object and the first associated object reparation is for normal.Preferably, can be by the default geometry associativity relational storage generating in geometry associativity relation information table.
By the embodiment of the present invention, reach after geometry associativity relation is destroyed, repaired as normal effect, and then can be realized the batch modification of computing machine drawing, improve the work efficiency of revisions on drawings, and promote the intelligent management level of drawing.
Alternatively, in embodiments of the present invention, when affiliated partner can comprise geometry associativity object, affiliated partner can comprise the first associated object, and incidence relation can comprise when geometry associativity is related to, the step of obtaining the associated object of affiliated partner can comprise:
First, search by the shape information of affiliated partner and/or the identification information of affiliated partner the object matching with affiliated partner.
It should be noted that, search by the shape information of affiliated partner and/or the identification information of affiliated partner the object matching with affiliated partner and comprise three kinds of situations: situation one, search the object matching with affiliated partner by the shape information of affiliated partner, matching for matching in shape now; Situation two, searches the object matching with affiliated partner by the identification information of affiliated partner, now match for mark on match; Situation three, searches by the shape information of affiliated partner and the identification information of affiliated partner the object matching with affiliated partner, now match in shape with mark on all matching.
Secondly, judge the data message of affiliated partner whether identical with the data message of the object that matches with affiliated partner.
Wherein, when the data of the object matching when the data of affiliated partner with affiliated partner equate, judge the data message of affiliated partner identical with the data message of the object matching with affiliated partner, otherwise not identical.
For example, a circle can be geometry associativity object, article one, line segment can be the first associated object, if this radius of a circle is 10 centimetres, when line segment length is 10 centimetres, the data message that can judge round data message and line segment is identical, otherwise it is identical to judge the data message of round data message and line segment.
Then, if it is identical with the data message of the object matching with affiliated partner to judge the data message of affiliated partner, using the object matching as associated object.
Alternatively, in embodiments of the present invention, affiliated partner can comprise the affiliated partner that meets default style, and incidence relation can comprise style incidence relation, the step of obtaining the associated object of affiliated partner can comprise: first, search the object that meets default style from the presets list.Default style can comprise color, line style etc.Wherein, line style can comprise the actual situation of line thickness and lines.Secondly, judge whether the object that meets default style matches with affiliated partner.Again, match if judge the object and the affiliated partner that meet default style, using the object that meets default style as the second associated object.If and/or judge the object that meets default style and do not mate with affiliated partner, generate the second associated object.It should be noted that, affiliated partner herein can be style manager.
Alternatively, by the incidence relation reparation between affiliated partner and associated object be normal after, this data processing method can also comprise: carry out mark processing and/or generate the report of repairing as normal incidence relation for normal incidence relation repairing.Wherein, particularly, carry out mark processing and can comprise the following steps for normal incidence relation repairing: first, carry out mark processing to repairing for normal incidence relation, obtain mark incidence relation.For example, carry out color mark for normal incidence relation, the incidence relation of color that obtained mark to repairing; Then, in mapping software show tags incidence relation.
It should be noted that, can in the computer system such as one group of computer executable instructions, carry out in the step shown in the process flow diagram of accompanying drawing, and, although there is shown logical order in flow process, but in some cases, can carry out shown or described step with the order being different from herein.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that multiple calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or the multiple modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. for a data processing method for computing machine drawing incidence relation, it is characterized in that, comprising:
Obtain the affiliated partner in computing machine drawing;
Obtain the associated object of described affiliated partner;
Whether normally detect incidence relation between described affiliated partner and described associated object; And
If it is undesired to detect incidence relation between described affiliated partner and described associated object, is normal by the incidence relation reparation between described affiliated partner and described associated object.
2. method according to claim 1, is characterized in that, described affiliated partner comprises geometry associativity object, and described incidence relation comprises geometry associativity relation,
The affiliated partner obtaining in computing machine drawing comprises: obtain the described geometry associativity object in computing machine drawing,
The associated object that obtains described affiliated partner comprises: in preset range, search multiple objects undetermined; Judge whether described multiple object undetermined meets described geometry associativity relation; Meet described geometry associativity relation if judge described multiple object undetermined, calculate respectively the distance between described multiple object undetermined and described geometry associativity object; Using and described geometry associativity object between the object described undetermined of distance minimum as the first associated object,
Whether the incidence relation detecting between described affiliated partner and described associated object normally comprises: whether the described geometry associativity relation between described geometry associativity object and described the first associated object of detecting is normal,
If it is undesired to detect incidence relation between described affiliated partner and described associated object, by the incidence relation reparation between described affiliated partner and described associated object for normally to comprise: if the described geometry associativity relation between described geometry associativity object and described the first associated object of detecting is undesired, the described geometry associativity between described geometry associativity object and described the first associated object is related to reparation is for normal.
3. method according to claim 1, is characterized in that, the associated object that obtains described affiliated partner comprises:
Search by the shape information of described affiliated partner and/or the identification information of described affiliated partner the object matching with described affiliated partner;
Whether the data message of the object that judges the data message of described affiliated partner and match with described affiliated partner is identical; And
If it is identical with the data message of the object matching with described affiliated partner to judge the data message of described affiliated partner, using the described object matching as described associated object.
4. method according to claim 1, is characterized in that, described affiliated partner comprises the affiliated partner that meets default style, and described incidence relation comprises style incidence relation, and the associated object that obtains described affiliated partner comprises:
From the presets list, search the object that meets default style;
Whether the object that judgement meets described default style matches with described affiliated partner;
Match if judge the object and the described affiliated partner that meet described default style, using the described object that meets described default style as the second associated object; And/or
Do not mate with described affiliated partner if judge the object that meets described default style, generate described the second associated object.
5. method according to claim 1, is characterized in that, by the incidence relation reparation between described affiliated partner and described associated object be normal after, described method also comprises:
To repair carry out mark processing for normal described incidence relation, obtain mark incidence relation;
Show described mark incidence relation; And/or
Generate the report of repairing as normal described incidence relation.
6. for a data processing equipment for computing machine drawing incidence relation, it is characterized in that, comprising:
The first acquiring unit, for obtaining the affiliated partner of computing machine drawing;
Second acquisition unit, for obtaining the associated object of described affiliated partner;
Whether detecting unit is normal for detection of the incidence relation between described affiliated partner and described associated object; And
Repair unit, if undesired for detecting incidence relation between described affiliated partner and described associated object, would be normal by the incidence relation reparation between described affiliated partner and described associated object.
7. device according to claim 6, is characterized in that, described affiliated partner comprises geometry associativity object, and described incidence relation comprises geometry associativity relation,
Described the first acquiring unit is also for obtaining the described geometry associativity object of computing machine drawing,
Described second acquisition unit comprises: first searches module, for search multiple objects undetermined in preset range; The first judge module, for judging whether described multiple object undetermined meets described geometry associativity relation; Computing module, if meet described geometry associativity relation for judging described multiple object undetermined, calculates respectively the distance between described multiple object undetermined and described geometry associativity object; The first determination module, for using and described geometry associativity object between the object described undetermined of distance minimum as the first associated object,
Whether described detecting unit is also normal for detection of the described geometry associativity relation between described geometry associativity object and described the first associated object,
If described reparation unit is also undesired for detecting described geometry associativity relation between described geometry associativity object and described the first associated object, the described geometry associativity between described geometry associativity object and described the first associated object is related to reparation is for normal.
8. device according to claim 6, is characterized in that, described second acquisition unit comprises:
Second searches module, searches the object matching with described affiliated partner for the identification information of the shape information by described affiliated partner and/or described affiliated partner;
Whether the second judge module is identical for the data message of the object that judges the data message of described affiliated partner and match with described affiliated partner; And
The second determination module, if identical with the data message of the object matching with described affiliated partner for judging the data message of described affiliated partner, using the described object matching as described associated object.
9. device according to claim 6, is characterized in that, described affiliated partner comprises and meet default style affiliated partner, and described incidence relation comprises style incidence relation, and described second acquisition unit comprises:
The 3rd searches module, for search the object that meets default style from the presets list;
The 3rd judge module, whether the object that meets described default style for judging matches with described affiliated partner;
The 3rd confirms module, matches, using the described object that meets described default style as the second associated object if meet object and the described affiliated partner of described default style for judging; And/or
Generation module, does not mate with described affiliated partner if meet the object of described default style for judging, and generates described the second associated object.
10. device according to claim 6, is characterized in that, also comprises:
Indexing unit, for by the incidence relation reparation between described affiliated partner and described associated object be normal after, carry out mark processing to repairing for normal described incidence relation, obtain mark incidence relation;
Display unit, for show described mark incidence relation; And/or
Generation unit, for generating the report of repairing as normal described incidence relation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410062736.1A CN103778253B (en) | 2014-02-24 | 2014-02-24 | For the data processing method and device of incidence relation in computer drawing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410062736.1A CN103778253B (en) | 2014-02-24 | 2014-02-24 | For the data processing method and device of incidence relation in computer drawing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103778253A true CN103778253A (en) | 2014-05-07 |
| CN103778253B CN103778253B (en) | 2017-06-06 |
Family
ID=50570488
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410062736.1A Active CN103778253B (en) | 2014-02-24 | 2014-02-24 | For the data processing method and device of incidence relation in computer drawing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103778253B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101446999A (en) * | 2008-12-24 | 2009-06-03 | 南京大学 | Automatic checking method for dimension line marking error in engineering drawing |
| US20100175040A1 (en) * | 2009-01-08 | 2010-07-08 | International Business Machines Corporation | Methodology of placing printing assist feature for random mask layout |
| CN102156752A (en) * | 2011-04-27 | 2011-08-17 | 北京数码大方科技有限公司 | Method and device for updating annotation object of CAD (computer-aided design) |
-
2014
- 2014-02-24 CN CN201410062736.1A patent/CN103778253B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101446999A (en) * | 2008-12-24 | 2009-06-03 | 南京大学 | Automatic checking method for dimension line marking error in engineering drawing |
| US20100175040A1 (en) * | 2009-01-08 | 2010-07-08 | International Business Machines Corporation | Methodology of placing printing assist feature for random mask layout |
| CN102156752A (en) * | 2011-04-27 | 2011-08-17 | 北京数码大方科技有限公司 | Method and device for updating annotation object of CAD (computer-aided design) |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103778253B (en) | 2017-06-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109447287B (en) | Multi-energy operation and maintenance system establishing method and terminal equipment | |
| CN108205493A (en) | A kind of code detection method, terminal, server and system | |
| CN101876536A (en) | Three-dimensional color gradation comparison dynamic analysis method | |
| CN108052628A (en) | Switch starting electric current detecting method, system and terminal device | |
| CN105243384A (en) | Pattern recognition-based cultural relic and artwork uniqueness identification method | |
| CN104572999A (en) | Heterogeneous data based detecting method and device for fault data | |
| Malleswari et al. | Automatic recognition of machining features using STEP files | |
| Arman et al. | Cad-based vision: object recognition in cluttered range images using recognition strategies | |
| Ismail et al. | Recognition of cylindrical and conical features using edge boundary classification | |
| CN108563915B (en) | Vehicle digital simulation test model construction system and method, and computer program | |
| CN105657021A (en) | Method, apparatus and cloud server for processing power system defects | |
| CN105984097A (en) | Adjusting method and system for process parameters of injection molding machine | |
| CN108255950B (en) | Data storage method and terminal equipment | |
| CN107688431B (en) | Man-machine interaction method based on radar positioning | |
| CN103778253A (en) | Data processing method and device for association in computer drawing | |
| CN105205123A (en) | Method and device for data interaction between databases | |
| CN107818522B (en) | User power condition query method and terminal equipment | |
| CN104050336A (en) | Method for judging restrained condition of three-dimensional geometrical elements based on track intersection | |
| CN111199086A (en) | Three-dimensional geometric discretization processing system | |
| CN110212258B (en) | BMS engineering installation configuration method and device and terminal equipment | |
| Yang et al. | Using multiple view in optimizing detector placement for petrochemical plant | |
| CN105469120A (en) | Image matching method and apparatus | |
| CN109345607B (en) | Method for automatically marking EPC picture | |
| CN105373801A (en) | Method and apparatus for updating gesture templates | |
| Arunkumar et al. | A system for extracting product features from CAD models–a STEP approach |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |