CN110610045A - Intelligent cloud processing system and method for generating three views by selecting cabinet and wardrobe - Google Patents
Intelligent cloud processing system and method for generating three views by selecting cabinet and wardrobe Download PDFInfo
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- CN110610045A CN110610045A CN201910869493.5A CN201910869493A CN110610045A CN 110610045 A CN110610045 A CN 110610045A CN 201910869493 A CN201910869493 A CN 201910869493A CN 110610045 A CN110610045 A CN 110610045A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
Abstract
The invention provides an intelligent cloud processing system and method for generating three views by selecting a wardrobe, wherein the system mainly comprises the following modules: selecting a wardrobe module, a projection marking and layout module, a front-end picture frame and drawing splicing adjusting module and a drawing file exporting module; the system and the method summarize and summarize the drawing process and label drawing logic of the wardrobe drawings on the market, extract the rule which can cover most of the requirements of the wardrobe drawings of users, meet the drawing requirements of most of the users, and can truly guide the production and landing of the wardrobe; compared with other decoration and fitment design software, the multifunctional combined cabinet and wardrobe drawing system additionally provides a function of self-defining adjustment and configuration, combines general drawing logic and personalized adjustment, reduces the top-hand difficulty of drawing of the whole cabinet and wardrobe, also ensures certain personalized drawing capability, and simultaneously ensures the correctness, universality, personalization and attractiveness of the drawing; the time overhead of drawing on the drawing of the wardrobe drawing by the user is greatly reduced.
Description
The technical field is as follows:
the invention belongs to the field of intelligent drawing generation of decoration and fitment design software, and particularly relates to an intelligent cloud processing system and method for generating three views by selecting a wardrobe.
Background art:
the custom-made wardrobe industry has become a new rapid growth point in recent years as an important field in the decoration industry; by means of the efficient utilization of furniture space, the capability and modern feeling of individual consumption requirements of consumers can be fully reflected. Through the development of many years, the styles of wardrobe products are more and more diversified, and the customization requirements are stronger.
Under the market background, along with the continuous innovation and development of computer graphics, cloud platform technology, AI, BIM and other technologies, a series of decoration and decoration design software is promoted, the application scenes of the software are more and more extensive, and the software gradually relates to various fields of the decoration and decoration industry. However, most of the software can only conveniently display the personalized decoration scene design of the user, but is difficult to land. For the wardrobe industry, after a user designs a personalized wardrobe, in order to conveniently order designed wardrobe furniture to a wardrobe manufacturer or guide a decorating worker to land on the ground after the user designs the personalized wardrobe, the user still needs to waste a large amount of time to manually draw the wardrobe and add appropriate labels, decoration type drawing paper does not have a unified national standard, different drawing habits exist among different users, and the personalized drawing generation requirement of the user needs to be supported.
Therefore, in order to assist a user to quickly generate a wardrobe drawing meeting the requirement, the intelligent wardrobe three-view generation system in the field of wardrobes is provided. The method can quickly and conveniently generate the general view drawing according to the general industry habit, and can adjust the requirements of the drawing frame, the label and other comparative individuation based on the own setting and preference of the user; therefore, the low threshold for drawing the drawing of the whole wardrobe is ensured, the time cost is reduced, and certain personalized design capability is also ensured.
The invention discloses a method and a system for generating a three-view of an intelligent cabinet and wardrobe, which are formed by independently researching markets, extracting and summarizing general laws and combining personalized requirements and habits of users under the guidance of experts in the cabinet and wardrobe industry. The method and the system can directly adopt the default picture frame and the three views to place the default picture frame and the three views in the position of the drawing to export the cad format file without starting the front-end picture frame and view adjusting module, can also carry out configuration, modification and export on the individualized requirements of the picture frame, the label and the like, and can better meet the construction landing guidance requirements of users.
The invention content is as follows:
the invention aims to provide an intelligent cloud processing system for generating three views by selecting a wardrobe, which mainly comprises the following modules: selecting a wardrobe module, a projection marking and layout module and a drawing file export module; the wardrobe selection module is used for selecting a single wardrobe or selecting a plurality of wardrobes in a frame mode through a user mouse based on the house type and wardrobe furniture designed by a user, and determining a wardrobe drawing which needs to be led out by the user;
the projection marking and layout module generates drawing contents of the main body based on the cabinet and wardrobe selected by the user, generates a projection surface relatively intelligently based on the cabinet and wardrobe selected by the user during projection, and calculates a projection result by using a painter algorithm; generating an intelligent label, identifying a label capturing point based on a projection result, and determining the position of the label based on the type of a capturing element; the layout is determined by the size of the view and the type of the view, and the default position of the view is determined;
and the drawing exporting module is used for confirming the correctness of the final drawing by the user and exporting the drawing into a file in cad format.
Preferably, a front-end drawing frame and drawing splicing adjustment module is further included between the projection labeling and layout module and the drawing file export module.
Furthermore, the front-end drawing frame and drawing splicing adjustment module provides a function of selecting a user-defined drawing frame by a user at a front-end interface of a website, and the user can quickly switch a drawing frame template at the front end and preview drawing results of the drawing; the drawing of the picture frame is relatively free, the difference between different users is huge, and no unified standard exists. After the user selects the drawing frame, the drawing result generated by the projection labeling and layout module can be adjusted, and the view position can be readjusted or new labels can be added.
The invention also provides an intelligent cloud processing method for generating three views by selecting a wardrobe, which mainly comprises the following steps:
s1, scene design: drawing a decoration scene in a three-dimensional space, wherein the drawing mainly comprises house type drawing, cabinet and wardrobe design and placement;
s2, selecting a cabinet and a wardrobe: the user selects a cabinet needing to derive three views based on a designed scene, and the method specifically comprises the following steps:
(1) capturing the selected wardrobe according to the mouse position or the selection frame range and the like, and recording the selected wardrobe;
(2) transmitting the recorded data information of the cabinet and the wardrobe to a cloud server for processing;
s3, projection marking and layout: generating general drawing contents based on the cabinet and the wardrobe selected by the user, specifically comprising:
(1) acquiring data of cabinets and wardrobes selected by all users, grouping the cabinets and wardrobes, and calculating a projection plane;
(2) converting data of a cabinet and a wardrobe into three-dimensional geometric data, and calculating a projection result in a parallel projection mode;
(3) identifying key wardrobe sizes such as internal space size, external size and inter-wardrobe size of the wardrobe body to be marked based on the result of parallel projection, and automatically generating size marks according to user configuration;
(4) calculating the size of the whole view based on the projection result and the labeling position, and calculating the default placing position of the view in the drawing according to a preset rule;
(5) uploading the generated drawing content to a cloud disk, and exporting a file with a JSON (Java Server object notation), CAD (computer-aided design) format or picture format based on user configuration;
s4, frame selection and view adjustment: displaying at the front end based on the drawn content stored in the cloud disk, and providing the capability of fine adjustment of the drawing;
(1) analyzing a result generated by the cloud server, and drawing and displaying the result at the front end;
(2) the front end acquires the picture frame information, can switch among various picture frame templates and supports user-defined picture frame uploading;
(3) after the front end analyzes the three views generated by the cloud server, the range size of the views is calculated, the position and the proportion of the views can be adjusted, and additional marking information is added;
s5, drawing derivation: and converting the data into a file in a CAD format or a picture format based on the drawing result generated by the cloud and the user adjustment result.
Preferably, in step S2, the selection is performed by a mouse operation interactive mode based on the user' S own closet cabinet that wants to generate three-view, and the supported closet furniture includes a closet cabinet, a dressing table, a shoe cabinet, a decorative cabinet, a tatami, a wall panel, a shower room, a desk, a dining table, a floor cabinet, and a wall cabinet.
Further, in the step S3, the general requirements called by the market are summarized and sorted, and the following steps are designed:
(1) acquiring corresponding cabinet and wardrobe information through API calling and other modes based on the cabinet selected by a user, and constructing a corresponding cabinet and wardrobe model;
(2) and traversing all the selected cabinets, sequencing and grouping to generate a plurality of facade groups. For each facade group, generating a facade view corresponding to the projection plane;
(3) and generating a projection plane based on the generated facade group. Traversing each wardrobe in the vertical surface group, sorting according to calculation conditions such as the distance between the wardrobe body and a projection plane, and sequentially projecting and calculating a shielding relation;
(4) identifying surfaces such as a hollow surface, an outer surface and the like of the cabinet body as marking input based on the projection result; for the outer surface of the cabinet body, sequentially generating a group of alignment marks for the projected points, describing model information such as the size of the whole cabinet, the distance between the cabinet bodies and the like, and simultaneously considering various optimization methods to realize clear and definite size marks; for the size of the inner space, the inner space in the vertical direction is preferentially marked, and the inner space with the same data in the same direction in one cabinet is marked only once; if no label is marked in the vertical direction, the hollow space in the horizontal direction is additionally marked, and the condition that the labels are overlapped is avoided by the method;
(5) creating a projection plane on a horizontal plane, drawing a logic according to a vertical plane group, and projecting and adding labels; placing a facade mark on a horizontal plane as a plane view according to the plane position where the created facade is located;
(6) acquiring a default picture frame and a drawable area thereof set by a user, calculating a boundary box of each plane and elevation view, and calculating a scaling and a view placing position according to the view boundary box and the picture frame drawable area;
(7) and determining the file format which needs to be generated at the cloud terminal finally based on the configuration of the user. If the user needs to use a front-end picture frame selection and drawing splicing adjustment module, uploading a drawn result to a cloud disk for storage; and otherwise, converting the drawing result into a file in a CAD format or a picture format, and uploading the file to a cloud disk for storage or downloading the file to a local user.
Further, the step S4 is an optional module, and the following steps are the operation flow under the module that the user needs to change:
(1) the front end restores a drawing result at the front end through model data acquired from the cloud server in a http request mode and the like, acquires a default picture frame, and puts a view at a default position calculated by the cloud server;
(2) and if the user needs to switch the picture frame, the user clicks the replacement template, and the front end acquires the custom picture frame uploaded by the user from the cloud server and displays the custom picture frame to the user for the user to select. After the user switches, the front end switches the drawing frames generated by the cloud server and renders the drawing frames again;
(3) if the user needs to add additional labels to the contents drawn in the drawing, the view can be selected, an editing button is clicked, and leads, characters and size labels are added automatically;
(4) if the user needs to adjust the view position, the view position can be adjusted through an interactive mode of selecting the view, dragging the view through a mouse and the like.
Further, in the step S5, the final drawing result is converted into a file in CAD format or picture format: if the user does not need to select by means of a front-end drawing frame and adjust the view, the corresponding drawing result can be directly converted into a file in a CAD format or a picture format on the cloud server; if the user needs the frame selection and view adjustment module, the drawing can be converted into a corresponding CAD format or picture format file at the front end.
Compared with the prior art, the invention has the following advantages after adopting the scheme: 1. the drawing process and the labeling drawing logic of the drawing of the wardrobe on the market are summarized and summarized, the rule which can cover most of the requirements of the drawing of the wardrobe of the user is extracted, the drawing requirements of most of the users are met, and the production and landing of the wardrobe can be truly guided; 2. compared with other decoration and fitment design software, the multifunctional combined cabinet and wardrobe drawing system additionally provides a function of self-defining adjustment and configuration, combines general drawing logic and personalized adjustment, reduces the top-hand difficulty of drawing of the whole cabinet and wardrobe, also ensures certain personalized drawing capability, and simultaneously ensures the correctness, universality, personalization and attractiveness of the drawing; the time overhead of drawing on the drawing of the wardrobe drawing by the user is greatly reduced.
Description of the drawings:
FIG. 1 is a schematic illustration of a main process of the present invention;
FIG. 2 is a schematic diagram of data flow according to the present invention;
FIG. 3 is a schematic diagram of an automatic facade generation process according to the present invention;
FIG. 4 is a schematic view of a main process of the projection apparatus according to the present invention;
FIG. 5 is a schematic diagram of a main process for automatically labeling plate identification according to the present invention;
FIG. 6 is a schematic diagram of a wardrobe of which a user selects a drawing to be exported in the embodiment of the invention;
fig. 7 is a schematic diagram illustrating a drawing result generated by the cloud server by a user in the embodiment of the present invention in the front end;
FIG. 8 is a diagram illustrating a result of a cad format file downloaded by a user in an embodiment of the present invention;
FIG. 9 is a schematic diagram of an automatic annotation result generated by the front view in the embodiment of the present invention.
The specific implementation mode is as follows:
the invention will be further described with respect to specific embodiments in conjunction with the following drawings:
in order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1:
the invention relates to an intelligent cloud processing method for generating three views by selecting a wardrobe, which selects a case of a real wardrobe scheme as a complete embodiment, wherein the complete wardrobe scheme is shown in figure 6 and comprises a hall house type and a plurality of designed wardrobe schemes, and the wardrobe schemes are placed at proper positions of a hall in a self-defined manner.
As shown in fig. 1, the intelligent cloud processing method for generating three views by selecting a closet mainly includes the following steps:
s1, designing a cabinet and wardrobe scheme: designing a house type, and putting a designed wardrobe at a proper position of the house type;
s2, selecting a cabinet and a wardrobe needing to be led out: as shown in fig. 6, a cabinet whose drawing needs to be guided out is selected by mouse frame selection or click selection, wherein the cabinet cabinets marked by blue line frames are the cabinet cabinets selected by users and are all arranged side by side on the same plane, and the specific steps are as follows:
(1) and when the frame is selected, generating a plane with a boundary according to the visual angle and the range frame selected by the user.
(2) And projecting the outlines of all cabinets onto the plane generated in the previous step, and if a part of the outlines of a certain cabinet falls within the range of the mouse box, indicating that the cabinet is selected.
(3) And recording the numbers of all selected cabinets and sending the numbers to the cloud server through an http request.
S3, acquiring cabinet and wardrobe data based on cabinet and wardrobe numbers: the method comprises the following steps of obtaining wardrobe data of a wardrobe serial number selected by a user, constructing a model, and facilitating subsequent operation, wherein the method comprises the following specific steps:
(1) and (4) acquiring the required original data of the wardrobe by the serial number of the wardrobe transmitted from the front end in a mode of RPC interface request.
(2) And processing the original data to construct data which can be processed by subsequent services so as to execute subsequent operation logic.
S4, generating a vertical face or a side view according to the position of the wardrobe: generating a projection plane by taking the placement position of the wardrobe in the house type scheme as a reference, projecting, calculating and marking;
according to the automatic facade generation flow shown in fig. 3, the following steps are sequentially executed:
(1) all the selected cabinets of the user are firstly grouped into one group, as shown in fig. 6, three cabinets are selected side by side in the embodiment.
(2) In the embodiment, all cabinets are in the same orientation, so that the pretreatment is grouped into one group.
(3) The three cabinets are sequenced according to the positions from front to back, and because the front positions and the back positions of the three cabinets are the same, the shielding relation does not exist, and finally the three cabinets can be positioned in the same vertical plane group, and a projection plane is generated at the forefront of the cabinet.
(4) Since all cabinets in the set of facades have only one facade set, a side view perpendicular to the projection plane of the facade is added additionally and three cabinets are added to the side view.
According to the projection flow shown in fig. 4, the following steps are sequentially executed:
(1) calculating the geometric surface information of all the plate members in the whole cabinet as the original projection surface; the surface created in the elevation view is taken as a projection plane.
(2) The center of gravity of each original plane is calculated, and the distance from the center of gravity to the projection plane is calculated, which is considered as the distance from the original plane to the projection plane, and the distances are sorted from near to far.
(3) Traversing all the original surfaces, projecting each original surface onto a projection plane, performing polygon difference operation with projection results of all the surfaces in front of the original surface to realize a clipping effect, and recording the mapping relation between the projection results and the original surfaces.
According to the automatic labeling process shown in fig. 5, based on the tuples that do not overlap with each other between labels, the automatic labeling logic is executed as follows:
(1) using the leftmost cupboard in fig. 9 as an example, it is recognized that there are no long vertical plates adsorbing the top plate and the bottom plate simultaneously in all the plates, but there are long horizontal plates adsorbing the left and right side plates simultaneously, and the distance between the long horizontal plates can be marked outside the cupboard as the leftmost cupboard, so that the long horizontal plates are preferably placed in the external horizontal plate chain table of the plate mark, and the remaining vertical plates in the leftmost cupboard are all added in the internal chain table of the vertical plate mark.
(2) The plate mark external linked list records the position of the long transverse plate, calculates the plane height of the upper plate surface and the lower plate surface of the long transverse plate, projects the plane height to the straight line of the y-axis direction, generates an alignment mark between every two plates, and marks the height difference between the long transverse plates outside the cabinet.
(3) The position of every riser has been recorded to the inside linked list of riser mark, calculates the horizontal position at curb plate place about the riser, on the projection X axle direction place straight line to two liang generate an alignment mark on the position placed in the middle of the riser, mark the interval between two risers.
(4) The other cabinets are firstly classified according to similar operation, then the classified plates are respectively generated into corresponding alignment marks outside and inside the cabinets according to the positions, and only one transverse mark or longitudinal mark is generated in one inner space, so that the condition that the marks are overlapped with each other is avoided.
Newly building a plane view, projecting and generating a label, and specifically comprising the following steps:
(1) with the bottom level of the cabinet as the projection plane, a planar view is created and three cabinets are added to the planar view.
(2) And generating the drawing content in the plane view according to the step of generating the drawing content in the elevation view, which is not described herein again.
Acquiring a default picture frame and determining a default placing position of a view, specifically comprising the following steps:
(1) and (4) counting the size and position information of all lines and characters in each view, calculating a minimum bounding box, and taking the bounding box as the size of the view.
(2) Acquiring default picture frame information and a drawable area thereof set by a user, and dividing the default picture frame information and the drawable area into three areas according to the number of views.
(3) The drawing canvas is sequentially added from left to right according to the sequence of the plan view, the front view and the side view, and the placing positions in the embodiment are shown in fig. 8.
Assuming that a front-end picture frame selection and view adjustment module is opened by a user, the cloud server converts a drawing result into corresponding json data, uploads the json data to the cloud disk, and updates the database.
S5, the front end obtains a drawing result through an http request, and shows and adjusts:
(1) and the front end acquires the drawn json data and picture frame template information uploaded by a user from the cloud server through an http request, so that picture frame replacement is facilitated.
(2) And the front end performs model construction and data reduction on the corresponding json data and displays the json data at the front end of the webpage.
(3) And the user replaces the picture frame or adjusts the view position based on the requirement.
S6, downloading the cad format file by the user, wherein the step needs to be respectively executed according to whether the user depends on the picture frame and the view adjusting module at the front end:
(1) and if the user does not depend on the picture frame selection and view adjustment module, the drawing result is directly converted into a cad format file by the cloud server and uploaded to a cloud disk for the user to download.
(2) If the user depends on the picture frame selection and view adjustment module, the front end analyzes the drawing result adjusted by the user into a cad format file, and the cad format file is directly downloaded by the user. The cad format file after front-end download is shown in fig. 8.
Claims (8)
1. An intelligent cloud processing system for generating three views by selecting a wardrobe, which is characterized by mainly comprising the following modules: selecting a wardrobe module, a projection marking and layout module and a drawing file export module;
the wardrobe selection module is used for selecting a single wardrobe or selecting a plurality of wardrobes in a frame mode through a user mouse based on the house type and wardrobe furniture designed by a user, and determining a wardrobe drawing which needs to be led out by the user;
the projection marking and layout module generates drawing contents of the main body based on the cabinet and wardrobe selected by the user, generates a projection surface relatively intelligently based on the cabinet and wardrobe selected by the user during projection, and calculates a projection result by using a painter algorithm; generating an intelligent label, identifying a label capturing point based on a projection result, and determining the position of the label based on the type of a capturing element; the layout is determined by the size of the view and the type of the view, and the default position of the view is determined;
and the drawing exporting module is used for confirming the correctness of the final drawing by the user and exporting the drawing into a file in cad format.
2. The intelligent cloud processing system for generating three views according to claim 1, wherein: and a front-end drawing frame and drawing splicing adjusting module is also arranged between the projection marking and layout module and the drawing file exporting module.
3. The intelligent cloud processing system for generating three views according to claim 2, wherein: the front-end drawing frame and drawing splicing adjustment module provides a function of selecting a user-defined drawing frame by a user on a front-end interface of a website, and the user can quickly switch a drawing frame template at the front end and preview drawing results of the drawing; after the user selects the drawing frame, the drawing result generated by the projection labeling and layout module can be adjusted, and the view position can be readjusted or new labels can be added.
4. The intelligent cloud processing method for generating the three views by selecting the wardrobe is characterized by comprising the following steps of:
s1, scene design: drawing a decoration scene in a three-dimensional space, wherein the drawing mainly comprises house type drawing, cabinet and wardrobe design and placement;
s2, selecting a cabinet and a wardrobe: the user selects a cabinet needing to derive three views based on a designed scene, and the method specifically comprises the following steps:
(1) capturing the selected wardrobe according to the mouse position or the selection frame range and the like, and recording the selected wardrobe;
(2) transmitting the recorded data information of the cabinet and the wardrobe to a cloud server for processing;
s3, projection marking and layout: generating general drawing contents based on the cabinet and the wardrobe selected by the user, specifically comprising:
(1) acquiring data of cabinets and wardrobes selected by all users, grouping the cabinets and wardrobes, and calculating a projection plane;
(2) converting data of a cabinet and a wardrobe into three-dimensional geometric data, and calculating a projection result in a parallel projection mode;
(3) identifying key wardrobe sizes such as internal space size, external size and inter-wardrobe size of the wardrobe body to be marked based on the result of parallel projection, and automatically generating size marks according to user configuration;
(4) calculating the size of the whole view based on the projection result and the labeling position, and calculating the default placing position of the view in the drawing according to a preset rule;
(5) uploading the generated drawing content to a cloud disk, and exporting a file with a JSON (Java Server object notation), CAD (computer-aided design) format or picture format based on user configuration;
s4, frame selection and view adjustment: displaying at the front end based on the drawn content stored in the cloud disk, and providing the capability of fine adjustment of the drawing;
(1) analyzing a result generated by the cloud server, and drawing and displaying the result at the front end;
(2) the front end acquires the picture frame information, can switch among various picture frame templates and supports user-defined picture frame uploading;
(3) after the front end analyzes the three views generated by the cloud server, the range size of the views is calculated, the position and the proportion of the views can be adjusted, and additional marking information is added;
s5, drawing derivation: and converting the data into a file in a CAD format or a picture format based on the drawing result generated by the cloud and the user adjustment result.
5. The method as claimed in claim 4, wherein in step S2, the selection is performed by mouse operation interaction based on the user' S own closet that wants to generate three views, and the supported closet furniture includes closet, dressing table, shoe cabinet, decorative cabinet, tatami, wall panel, shower room, desk, dining table, floor cabinet and wall cabinet.
6. The intelligent cloud processing method for generating three views through a selective cabinet wardrobe according to claim 4, wherein in the step S3, the following steps are designed based on general requirements of market calls:
(1) acquiring corresponding cabinet and wardrobe information through API calling and other modes based on the cabinet selected by a user, and constructing a corresponding cabinet and wardrobe model;
(2) traversing all selected cabinets, sorting and grouping to generate a plurality of facade groups, and generating a projection plane and a corresponding facade view for each facade group;
(3) generating a projection plane based on the generated facade group, traversing each wardrobe cabinet in the facade group, sequencing according to calculation conditions such as the distance between the wardrobe body and the projection plane, and sequentially projecting and calculating a shielding relation;
(4) identifying surfaces such as a hollow surface, an outer surface and the like of the cabinet body as marking input based on the projection result; for the outer surface of the cabinet body, sequentially generating a group of alignment marks for the projected points, describing model information such as the size of the whole cabinet, the distance between the cabinet bodies and the like, and simultaneously considering various optimization methods to realize clear and definite size marks; for the size of the inner space, the inner space in the vertical direction is preferentially marked, and the inner space with the same data in the same direction in one cabinet is marked only once; if no label is marked in the vertical direction, the hollow space in the horizontal direction is additionally marked, and the condition that the labels are overlapped is avoided by the method;
(5) creating a projection plane on a horizontal plane, drawing a logic according to a vertical plane group, and projecting and adding labels; placing a facade mark on a horizontal plane as a plane view according to the plane position where the created facade is located;
(6) acquiring a default picture frame and a drawable area thereof set by a user, calculating a boundary box of each plane and elevation view, and calculating a scaling and a view placing position according to the view boundary box and the picture frame drawable area;
(7) determining a file format which needs to be generated at the cloud end finally based on the configuration of a user, and uploading a drawn result to a cloud disk for storage if the user needs to use a front-end picture frame selection and drawing splicing adjustment module; and otherwise, converting the drawing result into a file in a CAD format or a picture format, and uploading the file to a cloud disk for storage or downloading the file to a local user.
7. The intelligent cloud processing method for generating three views through selecting a wardrobe according to claim 4, wherein the step S4 is an optional module, and the following steps are the operation flow of the module required by the user:
(1) the front end restores a drawing result at the front end through model data acquired from the cloud server in a http request mode and the like, acquires a default picture frame, and puts a view at a default position calculated by the cloud server;
(2) if the user needs to switch the picture frame, the user clicks the replacement template, the front end acquires a self-defined picture frame uploaded by the user from the cloud server and displays the self-defined picture frame to the user for selection, and after the user switches the picture frame, the front end switches the drawing picture frame generated by the cloud server and re-renders the drawing picture frame;
(3) if the user needs to add additional labels to the contents drawn in the drawing, the view can be selected, an editing button is clicked, and leads, characters and size labels are added automatically;
(4) if the user needs to adjust the view position, the view position can be adjusted through an interactive mode of selecting the view, dragging the view through a mouse and the like.
8. The intelligent cloud processing method for generating three views through a selective cabinet according to claim 4, wherein the final drawing result is converted into a file in CAD format or picture format in step S5: if the user does not need to select by means of a front-end drawing frame and adjust the view, the corresponding drawing result can be directly converted into a file in a CAD format or a picture format on the cloud server; if the user needs the frame selection and view adjustment module, the drawing can be converted into a corresponding CAD format or picture format file at the front end.
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| PCT/CN2020/085633 WO2021051802A1 (en) | 2019-09-16 | 2020-04-20 | Intelligent cloud processing system and method for selecting wardrobes to generate three views |
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| WO2021051802A1 (en) * | 2019-09-16 | 2021-03-25 | 杭州群核信息技术有限公司 | Intelligent cloud processing system and method for selecting wardrobes to generate three views |
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| CN115437582B (en) * | 2022-08-22 | 2023-09-12 | 惠州市海葵信息技术有限公司 | Engineering drawing view area distribution method, controller and storage medium |
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