CN110765517B - Framework column three-dimensional view sandbox mode reinforcement method - Google Patents
Framework column three-dimensional view sandbox mode reinforcement method Download PDFInfo
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Abstract
The invention provides a framework column three-dimensional view sandbox mode reinforcement method, which comprises the following steps of: step S1: analyzing and restoring the plane result, reconstructing a building frame column data model and displaying the data model in a three-dimensional view; step S2: providing a sandbox mode interface for user decision making based on the data model, and performing evaluation feedback on the decision making; and step S3: and (5) verifying the final construction drawing product specification. The invention takes advantages and disadvantages of the prior art methods, utilizes the advantage of high efficiency of computer processing in the method one and the advantage of careful consideration of manual whole-process intervention in the method two, takes a convenient three-dimensional view and a sandbox mode as innovation windows, takes accurate computer statistics, envelopment and analysis as technical means, and effectively ensures the accuracy, convenience and economy of reinforcement design while remarkably reducing the workload of reinforcement design by covering the whole reinforcement design process.
Description
Technical Field
The invention relates to a framework column three-dimensional view sand box mode reinforcement method, which is used for the field of constructional engineering structures.
Background
In the prior art, the design methods of the reinforcement of the frame column of the building engineering structure basically belong to the following two types:
the method comprises the following steps: and (6) automatically drawing a graph program. And automatically generating a reinforcement pattern product by utilizing an automatic drawing program carried by the structural design software. The statistical enveloping process of the method is based on the merging coefficient specified by the user, the calculation result is rough, the economy is poor, the process is closed, the user cannot intervene and adjust, the calculation error often exists, and the method is rarely adopted by the user of a design institute.
The second method comprises the following steps: a manual reinforcement method. And carrying out manual reinforcement design based on a plane numerical result sketch output by structural design software. The method needs to manually compare data in a plurality of plane numerical value result diagrams, manually analyze the positioning, section numerical values, reinforcement numerical values and floor distribution, manually merge and envelop, and continuously adjust the threshold value of reinforcement numerical value difference so as to comprehensively consider the balance of economy and construction complexity; and then, manually carrying out steel bar arrangement analysis on the statistical result, and judging the national standard compliance by depending on experience. The method is a main method which is adopted in large quantity at present, can effectively solve the outstanding problems in the first method, but needs a great deal of time and energy, is difficult to avoid neglecting and making mistakes when hundreds of cases are manually processed, and has accuracy which depends on the experience of designers seriously. Meanwhile, because the scheme adjustment is a normal state, designers are difficult to carry out comprehensive and precise analysis and statistics from beginning to end for each scheme, so that the actual implementation effect is greatly reduced, and the method is an inefficient and unstable method.
From the above, the prior art method has the problems of poor accuracy, convenience and economy when the frame column reinforcement design is carried out, and needs to be improved and developed.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a reasonably designed method for reinforcing bars in a three-dimensional view sandbox mode of a frame column, so that the accuracy, convenience and economy are improved.
The technical scheme adopted by the invention for solving the problems is as follows:
a framework column three-dimensional view sandbox mode reinforcement method is characterized in that: the method comprises the following steps:
(1) Step S1: analyzing and restoring a plane result, reconstructing a building frame column data model and displaying the data model in a three-dimensional view, and specifically comprising the following steps of:
a. the program judges whether the current project has the analyzed data model stored in the local disk; if yes, directly reading the data file, loading the data file to a memory, quickly reconstructing a data model, and skipping the following substeps S11-S14; if not, starting reconstruction and reduction of the data model from the beginning;
b. substep S11: creating a content element; the method comprises the following steps that firstly, a plane numerical value result sketch file under a user-specified directory is loaded in a memory; secondly, creating a self-defined content element class, converting the primitives in free states in the file into content elements in a one-to-one correspondence manner, only keeping the type attribute, the geometric data and the text content of the primitives as corresponding fields or attributes for the content elements, and screening and filtering out content elements irrelevant to the analysis of the frame columns;
c. substep S12: creating a column unit; firstly, establishing an affiliation relationship among the obtained content element individuals; then, creating a self-defined type column unit class, integrating the content elements with the dependency relationship, and converting the content elements into a single column unit for describing all information of a certain frame column on a certain layer;
d. substep S13: creating a column unit; firstly, combing and connecting logics for the obtained column units in a free state according to the vertical relation of floors; then, creating a self-defining column unit, and taking a column unit set with upper and lower connection logics as a column unit;
e. substep S14: establishing geometric grouping, and grouping, counting and marking all the column units according to vertical geometric consistency by a computer to obtain a frame column data model of a complete building;
f. substep S15: creating a three-dimensional view; establishing an independent three-dimensional coordinate system for each geometric grouping, wherein the column units of the group are all drawn in the three-dimensional coordinate system, each column unit is represented by a three-dimensional space curve, each space node on the three-dimensional coordinate system represents a column unit of the column unit on the layer, the X coordinate of the column unit corresponds to the reinforcement value in the wide-edge direction, the Y coordinate of the column unit corresponds to the reinforcement value in the high-edge direction, and the Z coordinate of the column unit corresponds to the floor number;
(2) Step S2: providing a sandbox mode interface for user decision making based on a data model, and performing evaluation feedback on the decision accompanying the decision making, specifically comprising the following steps:
a. substep S21: the user carries out reinforcement grouping decision and generates a numerical envelope scheme of each grouping layer, and the method specifically comprises the following steps:
i. the reinforcement grouping decision-making is based on the three-dimensional view provided in step S1, and the user makes a decision based on the discrete visual perception of the spatial form of each three-dimensional curve, if the user determines that the curve has large discreteness, the step S211 is entered, and if the user determines that the curve has small discreteness, the step S211 is skipped, and the step S212 is directly entered;
sub-step S211: splitting the geometric grouping into a plurality of reinforcement groupings;
substep S212: reading custom expansion data attached to a three-dimensional curve specified by a user by a computer, carrying out envelope statistics on data of column units in a memory, and providing an envelope result scheme of reinforcement numerical values of each geometric grouping or each reinforcement grouping layer;
substep S213: the user views the envelope scheme provided in sub-step S212; if the scheme is satisfactory, entering the next step, if the scheme is not satisfactory, returning to the initial decision-making of the substep S21;
b. substep S22: the method comprises the following steps that a user makes a cross-layer merging decision to generate a specific reinforcement scheme, and specifically comprises the following steps:
i. the decision is based on a concise numerical list view of the envelope scheme provided in the substep S21, the user makes a decision according to a typical numerical transition visual feeling, if the user judges that the interlayer difference is small, the substep S221 is entered, and if the user judges that the interlayer difference is large, the substep S221 is skipped, and the substep S222 is directly entered;
substep S221: selecting a designated cross-layer merge;
substep S222: carrying out envelope statistics by the computer, providing all reinforcement candidate schemes and displaying suggestions;
substep S223: the user views the reinforcement scheme provided in the substep S222, is satisfied, and enters the substep S23, and is not satisfied, and enters the substep S224;
v. substep S224: providing an option for a user to modify the diameter of the default stirrup, and after modification, re-entering the substep S222 to perform reinforcement analysis and provide all candidate reinforcement schemes;
c. substep S23: a user decides to determine a final reinforcement scheme to be planned and generates a construction drawing product;
(3) And step S3: and (5) verifying the final construction drawing product specification.
In step S3 of the invention, intermediate data in the data are expanded according to user definition attached to the substep S23, column unit data are inquired, and the non-seismic structure requirements and the seismic structure requirements of the final diagram are verified one by one according to national specifications; if not, judging whether all the schemes are not met; if all the schemes are not satisfied, the step returns to the substep S223, and all the reinforcement schemes are reevaluated for further backtracking; if only individual schemes are not satisfied, the process returns to the substep S23 to replace the quasi-final scheme; if so, the process ends.
In the substep S15 of the present invention, the curve set in the coordinate system represents a group of column units with the same geometric regularity and different reinforcement characteristics.
In substep S14 of the present invention, each type of unit of the data model is identified by using a global unique identifier and an index linked list with a hierarchical relationship is established for organizational structure management.
In the substep S11 of the invention, the content part is judged by adopting a predefined regular expression, and the space coordinate, the size and the corner are judged by adopting a vector method.
In substep S12 of the present invention, the relationship establishment principle is based on the correlation between the contents of different aspects logically belonging to the specific frame column table.
In substep S212 of the present invention, the envelope result scheme is accompanied by user-defined extension data related to the result.
In substep S22 of the present invention, the candidate reinforcement scheme is accompanied by user-defined expansion data related to the current result.
In substep S22 of the present invention, a sandbox mode is employed to protect the original data model.
Compared with the prior art, the invention has the following advantages and effects: the invention takes advantages and disadvantages of the prior art methods, utilizes the advantage of high efficiency of computer processing in the method one and the advantage of careful consideration of manual whole-process intervention in the method two, takes a convenient three-dimensional view and a sandbox mode as innovation windows, takes accurate computer statistics, envelopment and analysis as technical means, and effectively ensures the accuracy, convenience and economy of reinforcement design while remarkably reducing the workload of reinforcement design by covering the whole reinforcement design process.
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FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail below by way of examples with reference to the accompanying drawings, which are illustrative of the present invention and are not to be construed as limiting the present invention.
Referring to fig. 1, an embodiment of the present invention includes the steps of:
(1) Step S1: and analyzing and restoring the plane result, reconstructing a data model of the building frame column and displaying the data model in a three-dimensional view. The method specifically comprises the following steps:
a. the program judges whether the current project has the analyzed data model stored in the local disk; if yes, directly reading the data file (binary file, file extension name. Rikucolu), loading the data file into a memory, quickly reconstructing a data model, and skipping the following substeps S11-S14; if not, the reconstruction and restoration of the data model are started from the beginning. The design of the operation can avoid repeated analysis and facilitate the designer to continue the previous work.
b. Substep S11: a content element is created. Firstly, loading a plane numerical result sketch file (a plurality of CAD files, file extension names) dwg under a user-specified directory in a memory; and secondly, creating a self-defined content element class, and converting the primitives in free states in the file into self-defined type data instances, namely content elements in one-to-one correspondence, wherein the content element individuals only reserve the type attributes, geometric data and text contents of the primitives as corresponding fields or attributes. And screening content elements which are irrelevant to the analysis of the filtered frame columns, such as beams, description word parts and the like. The content elements are identified and converted, content judgment is carried out on the content part by adopting a predefined regular expression, and the space coordinates, the size and the corners are judged by adopting a vector method, so that the efficiency, the accuracy and the controllability of the program can be improved.
The primitives include the following types: 1) single line text, 2) multiple lines of text, 3) straight lines, 4) two-dimensional multi-segment lines, 5) three-dimensional multi-segment lines, 6) polygonal meshes, and 7) circles.
The content elements include: 1) angle rib, 2) B limit is indulged the muscle, 3) H limit is indulged the muscle, 4) core region stirrup, 5) encryption district stirrup, 6) non-encryption district stirrup, 7) the axial compression ratio, 8) eccentric tension compression mark, 9) angle post mark, 10) frame post geometric figure, 11) transfinite mark.
c. Substep S12: a column unit is created. Firstly, establishing an affiliation relationship among the obtained content element individuals, wherein the affiliation relationship establishment principle is based on the relevance of different aspects of contents logically belonging to the specific framework column sub-table; then, a self-defining type column unit class is created, the element set is traversed, content elements with the dependency relationship are integrated and converted into a single self-defining type data example capable of describing all information of a certain frame column of a certain layer, namely a column unit. The method for judging the program according to the relationship is to integrate two aspects of a type classification method and a vector method.
d. Substep S13: a column unit is created. Firstly, combing and connecting logics for the obtained column units in a free state according to the vertical relation of floors; then, a custom column unit is created, and a column unit set with upper and lower connection logics is used as a column unit (i.e. a column unit set with the same plane projection position and frame columns with different floor positions connected in sequence from bottom to top). The procedure method of the upper and lower connection logic judgment is that the geometric parameters after the transformation matrix meet a specific vector mode.
e. Substep S14: a geometric grouping is created. And (4) grouping and counting all the column units according to the vertical geometric consistency by the computer and marking, thus obtaining the frame column data model of the complete building.
A data model is obtained. The data model is automatically backed up to a local disk (binary file, file extension name. Rikucolu), and the data model can also be directly and quickly loaded from the existing data model file. All types of units of the data model are identified by Global Unique Identifiers (GUIDs) and index linked lists with hierarchical relationships are established for organizational structure management, and references to all levels of units in user-defined extended data (XDATA) in subsequent steps are references to the identifiers.
The reconstructed data model and the organizational structure can be stored in a binary data format to a hard disk for loading to a memory at any time without repeatedly restoring and reconstructing the data model each time.
f. Substep S15: a three-dimensional stereoscopic view is created. A separate three-dimensional coordinate system is created for each geometric grouping, in which the set of stock units is all drawn. Each column unit is represented by a three-dimensional space curve, each space node on the three-dimensional space curve represents the column unit of the column unit on the floor, the X coordinate of the three-dimensional space curve corresponds to the reinforcement value in the direction of the wide side (B), the Y coordinate of the three-dimensional space curve corresponds to the reinforcement value of the high side (H), and the Z coordinate of the three-dimensional space curve corresponds to the floor number. The node text label and the color express specific information and can be switched to display. The curve set in the coordinate system represents a group of column units with the same geometric rule and different reinforcement characteristics. And attaching custom expansion data (XDATA) to each three-dimensional curve and the upper node thereof.
(2) Step S2: and providing a sandbox mode interface for user decision making based on the data model, and performing evaluation feedback on the decision making. The method specifically comprises the following steps:
a. substep S21: and (4) carrying out reinforcement grouping decision by a user to generate a numerical envelope scheme of each grouping layer. The method specifically comprises the following steps:
i. making a reinforcement grouping decision according to the three-dimensional view provided in the step S1, and making a decision by a user according to the discrete visual perception of the space form of each three-dimensional curve, and if the user judges that the curve has large discreteness, entering a substep S211; if the user determines that the curve dispersion is small, the process skips the substep S211 and goes directly to the substep S212.
Sub-step S211: the geometric grouping should be split into several reinforcement groupings. And (4) carrying out splitting independent designation by a user, and dividing the curve set subjected to splitting independent designation into a new group.
Substep S212: the computer reads the user-defined expansion data (XDATA) attached to the three-dimensional curve specified by the user, carries out envelope statistics on the data of the column unit in the memory, and provides an envelope result scheme of the reinforcement value of each layer of each geometric grouping or reinforcement grouping. The envelope result scheme is accompanied by user-defined extension data (XDATA) associated with the result.
Substep S213: the user views the envelope scheme provided in sub-step S212. In general, the protocol is satisfactory and the next step is entered. The solution is not satisfactory, for example, determined by substep S211, designated as faulty, and returned to the initial re-decision at substep S21.
b. Substep S22: and (4) performing cross-layer merging decision by the user to generate a specific reinforcement scheme. The method specifically comprises the following steps:
i. the decision is based on a concise numerical list view of the envelope scheme provided in substep S21, the user makes a decision according to a typical numerical transition visual sensation, and if the user judges that the interlayer difference is small, substep S221 is entered; if the user determines that the interlayer difference is large and there is no adjacent layer available for merging, the sub-step S221 is skipped and the process directly proceeds to the sub-step S222.
Substep S221: a specified cross-layer merge is selected. And the user specifies adjacent layers with small numerical difference for merging, and the merged layers create a layer group.
Substep S222: and reading the custom expansion data (XDATA) in the envelope scheme corresponding to the layer specified by the user by the computer, carrying out envelope statistics on the data of the column plant unit in the memory, providing all reinforcement candidate schemes and displaying suggestions. The reinforcement candidate is accompanied by user-defined extension data (XDATA) related to the result. The sandbox mode is adopted to protect the original data model in the operation, the basis of the sandbox mode is that after the data model is built, a user makes a scheme decision, a system carries out scheme enveloping, statistics and analysis, data bodies in the data model are protected from being modified, and follow-up operation is just modification, organization and management of identifiers of units.
Substep S223: the user checks the reinforcement scheme provided in the substep S222, generally, satisfactorily, and enters the substep S23, and is not satisfactory, and if the default stirrup diameter is too large or too small to cause reinforcement difficulty, the user enters the substep S224; if the preamble grouping and merging scheme is not ideal, the user judges that the entry of the substeps S21 and S22 is decided again by backtracking.
v. substep S224: and providing an option for modifying the default stirrup diameter by the user, and after modification, re-entering the substep S222 to perform reinforcement distribution analysis and provide all candidate reinforcement distribution schemes.
c. Substep S23: and (4) determining a final reinforcement scheme to be planned by a user decision, and generating a construction drawing product. The decision is based on enumeration of all feasible schemes confirmed in the substep S223, and a user determines a quasi-final reinforcement scheme according to scheme suggestions and prompt data, comprehensive economy and construction convenience. The computer analyzes and counts, records all intermediate data, draws a construction drawing product meeting drawing standards to finish reinforcement design, and the specific contents of drawing should include: numbering the frame columns; marking the shape and the geometric dimension of the frame column; longitudinal bar, stirrup and lacing bar patterns; the total number of the longitudinal ribs, the longitudinal ribs on each side and the specification text representation of the stirrups (an encrypted area, a non-encrypted area and a core area); and (4) a table.
The operation of the step adopts a sandbox mode to protect an original data model, and the construction drawing product generated by the operation of the step is attached with user defined expansion data (XDATA) for standard verification in step S3.
(3) And step S3: and (5) verifying the final construction drawing product specification. According to the intermediate data in the user-defined extension data (XDATA) attached to the substep S23, inquiring the column unit data, and verifying the non-earthquake-resistant construction requirements and the earthquake-resistant construction requirements of the final picture one by one according to the national specification GB50010-2010 (2015 edition), the building earthquake-resistant design specification GB50011-2010 (2016 edition) and the high-rise building concrete structure technical specification JGJ 3-2010; if not, judging whether all the schemes are not met; if all schemes are not satisfied, returning to the substep S223, and reevaluating all reinforcement schemes for further backtracking; if only individual schemes are not satisfied, the process returns to the substep S23 to replace the quasi-final scheme; if so, the process ends.
The specific verification content comprises the following steps: the size of the section of the frame column; the frame column cross section shear span ratio; the height-width ratio of the section of the frame column; frame column axial compression ratio; the minimum reinforcement ratio and the maximum reinforcement ratio of the frame column; the diameters of stirrups, the distances between stirrups and the distances between stirrups limbs in a frame column encryption area; the volume hoop ratio of the frame column; the diameters of stirrups, the distances between stirrups and the limb distances of the frame column non-encryption areas are measured; the hoop diameter, the hoop distance and the volume hoop ratio of the core area of the frame column node.
In addition, it should be noted that the specific embodiments described in the present specification may be different in the components, the shapes of the components, the names of the components, and the like, and the above description is only an illustration of the structure of the present invention. Equivalent or simple changes in the structure, characteristics and principles of the invention are included in the protection scope of the patent. Various modifications, additions and substitutions for the specific embodiments described may occur to those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (9)
1. A framework column three-dimensional view sandbox mode reinforcement method is characterized by comprising the following steps: the method comprises the following steps:
(1) Step S1: analyzing and restoring a plane result, reconstructing a data model of the building frame column and displaying the data model in a three-dimensional view, and specifically comprising the following steps of:
a. the program judges whether the current project has the analyzed data model stored in the local disk; if yes, directly reading the data model file, loading the data model file into a memory, quickly reconstructing a data model, and skipping the following substeps S11-S14; if not, starting reconstruction and reduction of the data model from the beginning;
b. substep S11: creating a content element; the method comprises the following steps that firstly, a plane numerical value result simplified file under a user specified directory is loaded in a memory; secondly, creating a self-defined content element class, converting the primitives in free states in the file into content elements in a one-to-one correspondence mode, only keeping the type attribute, the geometric data and the text content of the primitives as corresponding fields or attributes for content element individuals, and screening and filtering out content elements irrelevant to frame column analysis;
c. substep S12: creating a column unit; firstly, establishing an affiliation relationship among the obtained content element individuals; then, creating a self-defined type column unit class, integrating content elements with the relationship of the self-defined type column unit class and converting the content elements into a single column unit for describing all information of a certain frame column in a certain layer;
d. substep S13: creating a column unit; firstly, combing and connecting logics for the obtained column units in a free state according to the vertical relation of floors; then, creating a self-defining column unit, and taking a column unit set with upper and lower connection logics as a column unit;
e. substep S14: establishing geometric grouping, and grouping and counting all the column units according to vertical geometric consistency and marking by a computer, wherein the grouping is a frame column data model of a complete building;
f. substep S15: creating a three-dimensional view; establishing an independent three-dimensional coordinate system for each geometric grouping, wherein the column units of the group are all drawn in the three-dimensional coordinate system, each column unit is represented by a three-dimensional space curve, each space node on the three-dimensional coordinate system represents a column unit of the column unit on the layer, the X coordinate of the column unit corresponds to the reinforcement value in the wide-edge direction, the Y coordinate of the column unit corresponds to the reinforcement value in the high-edge direction, and the Z coordinate of the column unit corresponds to the floor number;
(2) Step S2: providing a sandbox mode interface for user decision making based on a data model, and performing evaluation feedback on the decision accompanying the decision making, specifically comprising the following steps:
a. substep S21: the user carries out reinforcement grouping decision and generates a numerical envelope scheme of each grouping layer, and the method specifically comprises the following steps:
i. the reinforcement grouping decision-making is based on the three-dimensional view provided in step S1, and the user makes a decision based on the discrete visual perception of the spatial form of each three-dimensional curve, if the user determines that the curve has large discreteness, the step S211 is entered, and if the user determines that the curve has small discreteness, the step S211 is skipped, and the step S212 is directly entered;
sub-step S211: splitting the geometric grouping into a plurality of reinforcement groupings;
substep S212: reading custom expansion data attached to a three-dimensional curve specified by a user by a computer, carrying out envelope statistics on data of column units in a memory, and providing an envelope result scheme of reinforcement numerical values of each layer of each geometric grouping or reinforcement grouping;
substep S213: the user views the envelope scheme provided in sub-step S212; if the scheme is satisfactory, entering the next step, if the scheme is not satisfactory, returning to the initial decision-making of the substep S21;
b. substep S22: the method comprises the following steps that a user makes a cross-layer merging decision to generate a specific reinforcement scheme, and specifically comprises the following steps:
i. the decision is based on a concise numerical value list view of the envelope scheme provided in the substep S21, the user makes a decision according to a typical numerical value transition visual feeling, if the user judges that the interlayer difference is small, the substep S221 is entered, and if the user judges that the interlayer difference is large, the substep S221 is skipped, and the substep S222 is directly entered;
substep S221: selecting a designated cross-layer merge;
substep S222: carrying out envelope statistics by a computer, providing all reinforcement candidate schemes and displaying suggestions;
substep S223: the user views the reinforcement arrangement provided in substep S222, is satisfied, goes to substep S23, is unsatisfied, goes to substep S224;
v. substep S224: providing an option for a user to modify the diameter of the default stirrup, and after modification, re-entering the substep S222 to perform reinforcement analysis and provide all candidate reinforcement schemes;
c. substep S23: a user decides to determine a final reinforcement scheme to be planned and generates a construction drawing product;
(3) And step S3: and (5) verifying the final construction drawing product specification.
2. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in step S3, according to the intermediate data in the user-defined expansion data attached in the substep S23, column unit data is inquired, and the non-earthquake-resistant construction requirements and earthquake-resistant construction requirements of the final picture are verified one by one according to national specifications; if not, judging whether all the schemes are not met; if all schemes are not satisfied, returning to the substep S223, and reevaluating all reinforcement schemes for further backtracking; if only individual schemes are not satisfied, the process returns to the substep S23 to replace the quasi-final scheme; if so, the process ends.
3. The framework column three-dimensional view sandbox mode reinforcement method according to claim 1, characterized in that: in the substep S15, the curve set in the coordinate system represents a group of column units with the same geometric regularity and different reinforcement characteristics.
4. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in the substep S14, each type unit of the data model is identified by using a global unique identifier and an index linked list with a hierarchical relationship is established for organizational structure management.
5. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in the substep S11, the content part is determined by using a predefined regular expression, and the spatial coordinates, the size and the rotation angle are determined by using a vector method.
6. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in the substep S12, the relationship-based establishment principle is based on the correlation between the contents of different aspects logically belonging to the specific frame bar table.
7. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in sub-step S212, the envelope result scheme is accompanied by user-defined extension data related to the result.
8. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in substep S22, the reinforcement candidate is accompanied by user-defined expansion data related to the current result.
9. The frame post three-dimensional view sandbox mode reinforcement method of claim 1, characterized in that: in substep S22, a sandbox mode is employed to protect the original data model.
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