CN114169038A - Automatic scale method, terminal and storage medium - Google Patents

Automatic scale method, terminal and storage medium Download PDF

Info

Publication number
CN114169038A
CN114169038A CN202111209851.3A CN202111209851A CN114169038A CN 114169038 A CN114169038 A CN 114169038A CN 202111209851 A CN202111209851 A CN 202111209851A CN 114169038 A CN114169038 A CN 114169038A
Authority
CN
China
Prior art keywords
scale
operation object
closed polygon
determining
automatic
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.)
Pending
Application number
CN202111209851.3A
Other languages
Chinese (zh)
Inventor
郭金柱
王彦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Golden Mantis 3d Software Co ltd
Original Assignee
Suzhou Golden Mantis 3d Software Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Suzhou Golden Mantis 3d Software Co ltd filed Critical Suzhou Golden Mantis 3d Software Co ltd
Priority to CN202111209851.3A priority Critical patent/CN114169038A/en
Publication of CN114169038A publication Critical patent/CN114169038A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Architecture (AREA)
  • Algebra (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The invention provides an automatic scale method, a terminal and a storage medium, wherein the method comprises the following steps: s101: determining an operation object according to an input instruction, judging whether the operation object is a closed polygon, if so, executing S103, and if not, executing S102; s102: connecting line segments in the operation object end to form a closed polygon; s103: obtaining scale classification of an operation object, and determining a base line of a closed polygon and the number of stages of scales according to an input instruction; s104: and acquiring a scale mode corresponding to the closed polygon, extracting the associated features of the operation object, and performing scale processing on the static features of the operation object according to the scale mode and the associated features. The invention simplifies the content of manual scale processing, reduces the operation amount, has short time consumption and small workload, saves the time and energy of designers, reduces the design cost and improves the working experience and the working efficiency.

Description

Automatic scale method, terminal and storage medium
Technical Field
The invention relates to the technical field of CAD, in particular to an automatic scale method, a terminal and a storage medium.
Background
The designer can use CAD technology to design house decoration digitally. However, in the face of deeply subdivided business structural elements in the home decoration industry, designers still need to perform large-scale repeated manual editing work on related contents. For example, structural elements such as walls, beams, boards, columns, tiles, foot lines, door openings, etc. require a large number of manual scales to be applied to them. In addition, in the media data output stage such as decoration three-dimensional modeling, construction drawing, effect drawing rendering output and the like, scale information expression is also required.
Therefore, the manual scale for the design elements is indispensable for the home decoration industry, is difficult to convert into an operation of automatic processing, is long in time consumption and large in workload, consumes the time and energy of designers, increases the design cost and reduces the working experience of the designers.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an automatic scale method, a terminal and a storage medium, wherein an operation object is selected according to an instruction, the classification, the baseline and the scale level of the operation object are obtained, the scale mode of the operation object is determined according to the obtained data, the scale processing is carried out on the static characteristic of the operation object according to the mode, the automatic scale processing can be carried out on design elements through the preset scale mode and the scale classification, the content of manual scale processing is simplified, the operation amount is reduced, the time consumption is short, the workload is small, the time and the energy of designers are saved, the design cost is reduced, and the work experience and the work efficiency are improved.
In order to solve the above problems, the present invention adopts a technical solution as follows: an automated scale method, the method comprising: s101: determining an operation object according to an input instruction, judging whether the operation object is a closed polygon, if so, executing S103, and if not, executing S102; s102: connecting the line segments in the operation object end to form a closed polygon; s103: obtaining scale classification of the operation object, and determining a base line of the closed polygon and the number of stages of the scales according to an input instruction; s104: and acquiring a scale mode corresponding to the closed polygon, extracting the associated features of the operation object, and performing scale processing on the static features of the operation object according to the scale mode and the associated features.
Further, the step of determining whether the operation object is a closed polygon specifically includes: judging whether the line segments of the operation objects are connected to form a closed polygon or not; if so, determining that the operation object is a closed polygon; if not, determining that the operation object is a single-line segment set.
Further, the step of connecting the line segments in the operation object end to form a closed polygon specifically includes: and judging whether two end points of different line segments in the single line segment set can be connected or close to each other, and sequentially connecting the connectable or close line segments to form a closed polygon according to a judgment result.
Further, the step of determining whether two end points of different line segments in the single line segment set can be connected or close to each other specifically includes: by the formula
Figure BDA0003308512130000021
And judging whether two end points of different line segments can be connected or close, wherein dis is the distance between the two end points, x1 and y1 are the abscissa and ordinate of a first end point close to the other line segment in the end points of one line segment, and x2 and y2 are the abscissa and ordinate of a second end point close to the first end point in the end points of the other line segment.
Further, the step of determining the number of the base lines and the scales of the closed polygon according to the input instruction specifically includes: determining an outer bounding box baseline of the closed polygon according to an input instruction, acquiring a maximum bounding box of the closed polygon, and acquiring a horizontal baseline and a vertical baseline based on the sides of the bounding box and an offset specified instruction; the number of steps of the scale is determined from the position of the acquired baseline.
Further, the scale pattern includes a single-body pattern, a multi-body pattern, and a characteristic single-body pattern.
Further, the step of acquiring the scale pattern corresponding to the closed polygon specifically includes: and acquiring scale classification corresponding to the closed polygon, and determining the scale mode according to the scale classification.
Further, the step of performing scale processing on the static feature of the operation object according to the scale mode and the associated feature specifically includes: and layering the operation object according to the associated characteristics, determining a layered object according to a layering result, and performing scale measurement on the static characteristics of the layered object according to the scale mode.
Based on the same inventive concept, the invention further provides an intelligent terminal, which comprises a processor and a memory, wherein the processor is in communication connection with the memory, the memory stores a computer program, and the processor executes the automatic scale method according to the computer program.
Based on the same inventive concept, the present invention also proposes a computer-readable storage medium storing program data for performing the automatic scale method as described above.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of selecting an operation object according to an instruction, obtaining classification, base line and scale level of the operation object, determining a scale mode of the operation object according to obtained data, carrying out scale processing on static characteristics of the operation object according to the mode, carrying out automatic scale processing on design elements through a preset scale mode and scale classification, simplifying content of manual scale processing, reducing operation amount, being short in time consumption and small in workload, saving time and energy of designers, reducing design cost, and improving work experience and work efficiency.
Drawings
FIG. 1 is a flow chart of an embodiment of an automatic scaling method of the present invention;
FIG. 2 is a flow chart of another embodiment of an automatic scaling method of the present invention;
FIG. 3 is a schematic diagram of an embodiment of an operation object after being scaled in the automatic scaling method according to the present invention;
FIG. 4 is a block diagram of an embodiment of an intelligent terminal according to the present invention;
fig. 5 is a block diagram of an embodiment of a computer-readable storage medium of the present invention.
Detailed Description
The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and its several details are capable of modifications and/or changes in various respects, all without departing from the spirit of the present application. It should be noted that the various embodiments of the present disclosure, described and illustrated in the figures herein generally, may be combined with each other without conflict, and that the structural components or functional modules therein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The terminology used in the description of the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1-3, fig. 1 is a flow chart of an automatic scale method according to an embodiment of the present invention; FIG. 2 is a flow chart of another embodiment of an automatic scaling method of the present invention; fig. 3 is a schematic diagram of an embodiment of an operation object after being scaled in the automatic scaling method according to the present invention. The automatic scale method of the present invention will be described in detail with reference to fig. 1 to 3.
In this embodiment, the device for executing the automatic scale method is a desktop, and in other embodiments, the device may also be a tablet computer, a mobile phone, a server, or other intelligent terminals capable of being designed for home decoration.
In this embodiment, the automatic scale method includes:
s101: determining an operation object according to the input instruction, judging whether the operation object is a closed polygon, if so, executing S103, and if not, executing S102.
Before the steps are executed, the intelligent terminal further receives an instruction of a user, and the scale mode classification is defined according to the instruction, wherein the scale mode classification is a scale mode and a scale classification based on a closed polygon, and the scale classification is a secondary classification of the scale mode. The scale mode comprises abstract geometric types such as a monomer mode, a multi-body mode, a special monomer mode and the like. And carry out mode secondary classification based on the scale mode, the scale classification includes monomer individual layer, monomer multilayer, main part contain the daughter, the inside scale modes that looks for the base line etc. of multibody, and intelligent terminal records the scale mode classification and the corresponding scale mode of different scale modes of definition.
In a specific embodiment, the monomer pattern includes a single monolayer profile, a single monolayer internal cross baseline, a single monolayer external baseline, and the like. The multi-body mode comprises scale classification of the main body including sub-body pairs, such as the center distance of a multi-body distance line, the edge distance of the multi-body distance line, the external baseline of the whole multi-body, the internal baseline of the whole multi-body and the like, and the scale classification included by the characteristic single mode comprises a grid mode.
In this embodiment, the operation object is a decoration object in a home decoration design, the intelligent terminal determines an object selected by a user according to a user instruction, determines the object as the operation object, and determines whether the operation object is a closed polygon with lines connected end to end.
In this embodiment, the user may input an instruction for selecting an operation object through a mouse plus key input, a touch screen input, a voice input, a keyboard input, a mouse click, and the like.
The user-selected action may be the whole or a part of the object to be ruled, and a single object may comprise a plurality of different closed polygons.
In this embodiment, the step of determining whether the operation object is a closed polygon specifically includes: judging whether line segments of the operation objects are connected to form a closed polygon or not; if so, determining that the operation object is a closed polygon; if not, determining that the operation object is a single-line segment set.
Specifically, whether the operation objects are connected to form a closed polygon can be judged by judging whether line segments of the operation objects are connected end to end, if so, the operation objects are determined to be the closed polygon, and if not, the operation objects are determined not to be the closed polygon.
S102: and connecting the line segments in the operation object end to form a closed polygon.
And after the selected operation object is determined not to be a closed polygon, determining the operation object to be a single line segment set, automatically comparing whether the end points of the line segments in the single line segment set are close to each other or not in a connected mode, and connecting the end points of the line segments to form the closed polygon according to the comparison result.
Specifically, the step of connecting line segments in the operation object end to form a closed polygon specifically includes: and judging whether two end points of different line segments in the single line segment set can be connected or close to each other, and sequentially connecting the connectable or close line segments to form a closed polygon according to a judgment result.
In this embodiment, the determination is performed by calculating the euclidean distance. The step of judging whether two end points of different line segments in the single line segment set can be connected or close to each other specifically comprises the following steps: by the formula
Figure BDA0003308512130000061
And judging whether two end points of different line segments can be connected or close, wherein dis is the distance between the two end points, x1 and y1 are the abscissa and ordinate of a first end point close to the other line segment in the end points of one line segment, and x2 and y2 are the abscissa and ordinate of a second end point close to the first end point in the end points of the other line segment.
After obtaining the dis value, judging whether the dis value is smaller than a preset value or approaches to 0, if so, indicating that the distance between the two endpoints is very close, and connecting the two endpoints. In this way, the line segments in the set of single line segments are connected together to form a closed polygon.
In the above embodiment, when the polygon formed by connecting the line segments in the single line segment set is not a closed polygon, the intelligent terminal identifies the gap of the polygon through an algorithm, and performs hole filling/filling on the gap, so as to automatically identify and connect the disconnected edge to form a closed polygon.
S103: and acquiring scale classification of an operation object, and determining a base line of a closed polygon and the number of scales according to an input instruction.
After the operation object is determined to be a closed polygon or is converted into the closed polygon, the operation object is subjected to baseline designation and the number of scales is determined according to an input instruction.
In the embodiment, an outer bounding box baseline of the closed polygon is determined according to an input instruction, a maximum bounding box of the closed polygon is obtained, and a horizontal baseline and a vertical baseline are obtained based on the sides of the bounding box and an offset designation instruction; the number of steps of the scale is determined from the position of the acquired baseline.
Specifically, the operation object defaults to have no baseline, that is, the operation object can be subjected to contour marking according to the sequential scale of the polygon contour line segment set. And determining an outer bounding box baseline of the operation object according to the input instruction, acquiring the maximum bounding box of the polygon, and obtaining four sides of the rectangular bounding box corresponding to the closed polygon. Based on the reference information of the four sides, the horizontal baseline and the vertical baseline of the operation object are obtained by shifting the specification instruction (specifying in the drawing canvas interface or adjusting the property panel specification) horizontally/vertically outward and inward of the rectangle. When the scale is determined to be classified as an external baseline scale when shifted outward, the position of the external baseline scale can be freely selected. The scale is classified as an internal baseline crosshair scale when shifted inward. After the baselines are assigned, the scale level is determined based on the input command, e.g., the scale is oriented on the same side, and different scale details can be represented by parallel, spaced baselines. The first level represents the total length, the second level can represent the detail of the segment, and each level represents the total mark, the segment mark, the local total mark and the like on one side of the polygon.
S104: and acquiring a scale mode corresponding to the closed polygon, extracting the associated features of the operation object, and performing scale processing on the static features of the operation object according to the scale mode and the associated features.
And after the scale classification corresponding to the operation object, the base line and the scale level are obtained, determining the scale mode corresponding to each operation object according to the scale classification. Extracting the geometric body correlation characteristics of the decoration object corresponding to the operation object, automatically layering (firstly, judging the inclusion of the closed polygons of the decoration object, and forming a complex multilayer ring by the closed polygons with mutual inclusion relation, wherein the contour line of each layer of the complex corresponds to the original closed polygon before combination), and scaling the static characteristics of the main body and the like of the contour line, the internal cross base line, the external base line, the sub-body and the like of each layered closed polygon according to the layering result.
In this embodiment, the step of acquiring the scale pattern corresponding to the closed polygon specifically includes: and acquiring scale classification corresponding to the closed polygon, and determining a scale mode according to the scale classification.
In a specific embodiment, automatic layering includes compositing a monolithic multi-layer scale using a monolithic single layer scale (the scales of the individual subsections, aligned in translation, coincide on a straight baseline, or on a full contour).
In this embodiment, the step of performing scale processing on the static feature of the operation object according to the scale mode and the associated feature specifically includes: and layering the operation object according to the associated characteristics, determining the layered object according to a layering result, and performing scale measurement on the static characteristics of the layered object according to a scale mode.
Has the advantages that: the automatic scale method selects the operation object according to the instruction, obtains the classification, the baseline and the scale level of the operation object, determines the scale mode of the operation object according to the obtained data, performs scale processing on the static characteristics of the operation object according to the mode, and performs automatic scale processing on design elements through the preset scale mode and scale classification, thereby simplifying the content of manual scale processing, reducing the operation amount, having short time consumption and small workload, saving the time and energy of designers, reducing the design cost and improving the working experience and the working efficiency.
Based on the same inventive concept, the present invention further provides an intelligent terminal, please refer to fig. 4, fig. 4 is a flowchart of an embodiment of the intelligent terminal of the present invention, and the intelligent terminal of the present invention is described with reference to fig. 4.
In this embodiment, the intelligent terminal includes a processor and a memory, the processor is connected to the memory in a communication manner, the memory stores a computer program, and the processor executes the automatic scale method according to the computer program.
In some embodiments, memory may include, but is not limited to, high speed random access memory, non-volatile memory. Such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
Based on the same inventive concept, the present invention further provides a computer-readable storage medium, please refer to fig. 5, fig. 5 is a structural diagram of an embodiment of the computer-readable storage medium of the present invention, and the computer-readable storage medium of the present invention is described with reference to fig. 5.
In the present embodiment, a computer-readable storage medium stores program data used to execute the automatic scale method as described in the above embodiments.
The computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disc-read only memories), magneto-optical disks, ROMs (read only memories), RAMs (random access memories), EPROMs (erasable programmable read only memories), EEPROMs (electrically erasable programmable read only memories), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing machine-executable instructions. The computer readable storage medium may be an article of manufacture that is not accessible to the computer device or may be a component that is used by an accessed computer device.
In particular implementations, computer-readable storage media store program data such as routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims (10)

1. An automatic scale method, characterized in that it comprises:
s101: determining an operation object according to an input instruction, judging whether the operation object is a closed polygon, if so, executing S103, and if not, executing S102;
s102: connecting the line segments in the operation object end to form a closed polygon;
s103: obtaining scale classification of the operation object, and determining a base line of the closed polygon and the number of stages of the scales according to an input instruction;
s104: and acquiring a scale mode corresponding to the closed polygon, extracting the associated features of the operation object, and performing scale processing on the static features of the operation object according to the scale mode and the associated features.
2. The automatic scale method according to claim 1, wherein the step of determining whether the operation object is a closed polygon specifically comprises:
judging whether the line segments of the operation objects are connected to form a closed polygon or not;
if so, determining that the operation object is a closed polygon;
if not, determining that the operation object is a single-line segment set.
3. The automatic scale method of claim 2, wherein the step of connecting the line segments in the operation object end-to-end to form a closed polygon specifically comprises:
and judging whether two end points of different line segments in the single line segment set can be connected or close to each other, and sequentially connecting the connectable or close line segments to form a closed polygon according to a judgment result.
4. The automatic scale method according to claim 3, wherein the step of determining whether two end points of different line segments in the single line segment set can be connected or close to each other specifically comprises:
by the formula
Figure FDA0003308512120000021
And judging whether two end points of different line segments can be connected or close, wherein dis is the distance between the two end points, x1 and y1 are the abscissa and ordinate of a first end point close to the other line segment in the end points of one line segment, and x2 and y2 are the abscissa and ordinate of a second end point close to the first end point in the end points of the other line segment.
5. An automatic scale method according to claim 1, wherein the step of determining the number of base lines, scales of the closed polygon from the inputted instructions comprises:
determining an outer bounding box baseline of the closed polygon according to an input instruction, acquiring a maximum bounding box of the closed polygon, and acquiring a horizontal baseline and a vertical baseline based on the sides of the bounding box and an offset specified instruction;
the number of steps of the scale is determined from the position of the acquired baseline.
6. An automatic scale method according to claim 1, wherein the scale patterns comprise simplex patterns, multiplex patterns, feature simplex patterns.
7. The automatic scale method of claim 1, wherein the step of obtaining the scale pattern corresponding to the closed polygon specifically comprises:
and acquiring scale classification corresponding to the closed polygon, and determining the scale mode according to the scale classification.
8. The automatic scale method according to claim 1, wherein the step of performing scale processing on the static feature of the operation object based on the scale pattern and the associated feature specifically includes:
and layering the operation object according to the associated characteristics, determining a layered object according to a layering result, and performing scale measurement on the static characteristics of the layered object according to the scale mode.
9. An intelligent terminal, characterized in that the intelligent terminal comprises a processor, a memory, the processor being in communication with the memory, the memory storing a computer program according to which the processor performs the automatic scale method according to any one of claims 1-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores program data for executing the automatic scale method according to any one of claims 1 to 8.
CN202111209851.3A 2021-10-18 2021-10-18 Automatic scale method, terminal and storage medium Pending CN114169038A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111209851.3A CN114169038A (en) 2021-10-18 2021-10-18 Automatic scale method, terminal and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111209851.3A CN114169038A (en) 2021-10-18 2021-10-18 Automatic scale method, terminal and storage medium

Publications (1)

Publication Number Publication Date
CN114169038A true CN114169038A (en) 2022-03-11

Family

ID=80476991

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111209851.3A Pending CN114169038A (en) 2021-10-18 2021-10-18 Automatic scale method, terminal and storage medium

Country Status (1)

Country Link
CN (1) CN114169038A (en)

Similar Documents

Publication Publication Date Title
CN107193911B (en) BIM model-based three-dimensional visualization engine and WEB application program calling method
CN114283231A (en) LOD-based BIM model lightweight construction and display method
CN112163251A (en) Building model unitization method and device, storage medium and electronic equipment
CN111008422A (en) Building live-action map making method and system
CN106296779A (en) A kind of threedimensional model rendering indication method and system
CN106600700B (en) Three-dimensional model data processing system
KR102432164B1 (en) System for providing construction site checking service using augmented reality checking and augmented reality form based on three dimentional building information modelling
CN102136157A (en) Three-dimensional microscopic simulation model of concrete and establishment method thereof
CN112199751B (en) Wall model generation method and device, electronic equipment and storage medium
CN112001012A (en) Building system based on BIM technology preset model
CN111581776A (en) Geometric reconstruction model-based isogeometric analysis method
CN111444573B (en) Ship symmetric segment model generation method and device, storage medium and terminal
CN111915720B (en) Automatic conversion method from building Mesh model to CityGML model
CN114169038A (en) Automatic scale method, terminal and storage medium
CN108880872A (en) A kind of internet test envelope topological structure decomposition method and device
CN107644139B (en) Attribute mapping method from CAD model to CAE model
CN116051771A (en) Automatic photovoltaic BIM roof modeling method based on unmanned aerial vehicle oblique photography model
CN111753344B (en) Method for generating assembly type component data set, CAD platform and storage medium
CN100476880C (en) Method and system for producing volume shade
CN114596196A (en) Method and device for filtering point cloud data, equipment and storage medium
CN114092952A (en) dXF format-based house type graph information extraction and vectorization method and device
CN114444185A (en) In-situ labeling identification method and device and electronic equipment
Wang et al. Boss recognition algorithm for application to finite element analysis
CN115147440B (en) Automatic generation method of basic slope line based on surface area clipping method
CN116309934A (en) Drawing method and device based on primitive prediction, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication