CN112560212A - Spraying system based on BIM model, spraying head and pipeline generation type design method - Google Patents
Spraying system based on BIM model, spraying head and pipeline generation type design method Download PDFInfo
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Abstract
The invention discloses a spraying system based on a BIM model, and a spraying head and pipeline generation type design method based on the system. The BIM model, image processing, generative design and other technologies are comprehensively applied. The BIM model is a data source of the invention, provides basic data of the design of the spraying system, and comprises spraying system inlets, floor information of buildings and space information in floors, such as floor height, rooms and the like, and image processing is used as a means for extracting data in the method, and the main network of the spraying system is obtained by giving image refinement of different parameters. The generative design is a design method which can interact with a designer, the designer defines targets and constraint conditions, and the computer generates a plurality of design schemes, and a series of optimized results can be found through iteration and can meet a plurality of competing targets and set parameter ranges defined by a user.
Description
Technical Field
The invention relates to the field of architectural design spraying systems, in particular to a spraying system based on a BIM (building information modeling) model and a spraying head and pipeline generating type design method based on the system.
Background
Generative Design (Generative Design) is a special method of Computational Design (Computational Design) that mimics natural evolutionary Design. The designer or engineer inputs design targets into the generated design program and sets parameters such as materials, manufacturing methods, and cost constraints. Unlike topology optimization, the program explores all possible permutations of solutions, generating design alternatives quickly. It tests and learns from each iteration which are valid and which are not. Many well-known architects design tens or even hundreds of solutions under given constraints during the conceptual design phase of designing complex buildings, and test and compare the solutions. This also conforms to the definition of generative design from a certain point of view. Mainstream three-dimensional design software in the market, including grasschopper and Revit, develops a framework of generative design to help users generate design schemes according to constraints.
The design of the spraying system is manually finished by architects through computer aided design software on the premise of meeting the specifications. In this process, the computer can only provide very rudimentary computation design aids, such as arranging the showerheads in fixed lengths, or arranging the showerheads within fixed lengths. Therefore, the degree of design automation is low, and a large amount of manual design work is still required.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a spray header and pipeline generation type design method in a spray system based on a BIM model. The method comprises the following steps:
s1, selecting a plane view of the spraying system to be generated by taking a BIM model in Revit software as a data source; s2, exporting the plane graph as a picture, carrying out binarization processing on the picture and the outline of the model extracted from the floor plane, and storing the picture and the outline of the model as an image; s3, thinning the binary image to generate a main network of the spraying system, and generating an actual component in Revit; s4, acquiring room information from the floor plane; s5, calculating the number range and possible positions of the spray headers according to the specification, setting optimization parameters and scheme iteration times and the number of iterations each time by a designer, and setting weight; s6, the computer generates a specified number of schemes according to the schemes of the designer, randomly generates the position of the spray header for each scheme, finds the position of the spray header closest to the main network and generates a new pipeline; s7, according to the obtained network structure, counting the number of spray headers, the lengths of pipelines with various pipe diameters and the number of elbows by a computer to obtain the cost of the spray system; and S8, screening out an optimization scheme by the computer, taking the optimization scheme as an initial scheme of the next iteration, and determining whether to randomly adjust the connection mode of the spray header to reenter the iteration according to the iteration times and the scheme. And S9, evaluating the result by the designer, finishing the iteration if the result is satisfactory, and returning to S6 if the result is not satisfactory.
Further, in the binarization processing for the picture in S2, the positions where the model members are present are set to black, and the positions where the model members are absent are set to white.
Further, step S3 includes that the designer sets the thinning parameters including the granularity of the pixel point refined each time, the computer refines the image according to the parameters of the number of branches controlled by the distance from the black point in the binarization to the final trunk network, and the three-purpose straight line fits the thinning result.
Further, after the refinement result of S3 is obtained, whether the result is satisfactory or not is judged artificially, and if the result is satisfactory, the process proceeds to the next step, and if not, the process returns to S3.
Further, the room area divided by the single showerhead coverage in S5 yields the minimum number of showerheads.
Further, the position of the spray header and the edge of the room in the step S5 are not less than the minimum value specified by the specification, and the position between the two spray headers is not more than the maximum value specified by the specification.
Further, the new pipe generated in S6 is connected to the trunk network through the newly generated elbow, the pipe diameter is set according to specifications, and the pipe diameters of the pipe and the elbow are updated.
Further, the number of bends and the total length of the pipe in S7 are measures of complexity.
Further, the optimization scheme adopted in S8 is a scheme with low cost and complexity.
Another technical problem to be solved by the present invention is to provide a spraying system based on a BIM model, which comprises a user interaction layer, a spraying system generation system logic layer and a data processing layer, wherein the user interaction layer is responsible for processing user interaction, including display and input; the spraying system generation system logic layer is responsible for calling each module to form an actual workflow for the user interaction layer to call; the data processing layer comprises a Revit API module, an image processing module and a generating formula design module, wherein the Revit API module is used for reading BIM model data from Revit, the image processing module is used for refining images, and the generating formula module is used for iterating schemes.
Has the advantages that: the invention comprehensively applies BIM model, image processing and generating design technology, finds a series of optimized structures through iteration, meets a plurality of mutually competitive targets and set parameter ranges defined by users, enhances the support of software on the design of the spraying system, improves the automation design degree of the spraying system, and further improves the working efficiency of designers.
Drawings
FIG. 1 is a block diagram of a spraying system of the BIM model of the present invention;
FIG. 2 is a flow chart of a spray header and pipeline generation design method of the present invention.
Detailed Description
Revit of Autodesk company is adopted as a processing platform of the BIM model for secondary development, namely Revit plug-in, but not limited to Revit plug-in, and other BIM software can be adopted. In the following implementation, the Revit platform is used.
FIG. 1 is a block diagram of the spraying system of the BIM model of the present invention, which comprises three layers, wherein the top layer is a user interaction layer, which is responsible for handling user interactions, including display and input. The middle layer is a system logic layer for generating a spraying system and is responsible for calling each module to form an actual workflow for a user interaction layer to call; the bottom layer comprises a Revit API module, an image processing module and a generating type design module, the Revit API module is used for reading BIM model data from Revit, the image processing module is used for refining images, and the generating type design module is used for iterating schemes.
The spray header and pipeline generation type design method of the spray system based on the BIM model is shown in figure 2 and comprises the following steps:
s1, opening a BIM model by Revit, selecting a plane view of a spraying system to be generated, and acquiring detailed information of a floor plane from the BIM model, wherein the detailed information comprises a partition wall, a room, a spraying system inlet and the like, and the information can be provided by mainstream BIM software in the market;
s2, exporting the plane view as a picture, carrying out binarization processing on the picture, setting the position with the model component as black and the position without the model component as white; extracting the outline of the model from the floor plane and storing the outline of the model as a black-and-white binary image, so that the subsequent image refinement is facilitated;
s3, thinning the black-white binary image obtained in the step S102 to obtain a main network of the spraying system, and generating a scheme: firstly, a designer sets thinning parameters, wherein the parameters comprise the granularity of pixel points thinned each time, such as 3X3, 5X5 and the like; secondly, in binarization, the distance range from the black point to the final trunk network is used for controlling the number of branches, and a computer performs image refinement according to parameters; and finally, fitting the thinning result by using a straight line to generate a main network of the spraying system, and generating an actual component in Revit. Judging whether the scheme is satisfied by the designer, if so, entering S4, and if not, repeating S3;
s4, acquiring room information from the floor plane, wherein the room information comprises the size and the shape of a room;
s5, calculating the number range and possible positions of the spray headers according to the specification, and dividing the room area by the coverage range of a single spray header to obtain the minimum value of the number of the spray headers; the position of the spray header and the edge (wall) of a room are not less than the minimum value specified by the specification, and the position between the spray header and the spray header is not greater than the maximum value specified by the specification; a designer sets optimization parameters, scheme iteration times and the number of each iteration, such as the minimum number of spray heads, the minimum total length of a pipeline and the like, and sets the weights of the parameters and the scheme iteration times;
s6, generating a specified number of schemes by the computer within an allowable range according to the number of the schemes set by a designer, randomly generating the position of a spray header for each scheme, finding the nearest position of the spray header and a trunk network, generating a new pipeline and connecting the new pipeline to the trunk network through a newly generated elbow, setting the pipe diameter according to the specification, and updating the pipe diameter and the elbow of the pipeline connected with the spray header;
s7, according to the obtained network structure, counting the number of spray headers, the lengths of pipelines with various pipe diameters and the number of elbows by a computer to obtain the cost and the complexity of the spray system, multiplying the number of each type of member by the unit price of the member to obtain the quoted price of the spray system as the cost of the spray system, and taking the number of the elbows and the total length of the pipelines as the measurement indexes of the complexity;
s8, screening an optimization scheme, namely a scheme with low cost and complexity by the computer, and taking the scheme as an initial scheme of the next iteration;
s9, if the iteration of the set times is not finished or the optimization scheme is superior to the previous optimization scheme, randomly adjusting the connection mode of the spray header, and re-entering S5; otherwise, go to S10;
and S10, evaluating the result by the designer, if the result is satisfactory, ending the iteration, and if the result is not satisfactory, re-entering S6.
Example 1
After the scheme is realized, the operation steps of the user, namely the software operation process of the user, are as follows:
step one, a user opens a Revit program on the uppermost interaction layer, opens a Revit model needing to establish a spraying system, and starts a Revit plug-in of the embodiment;
step two, a designer sets thinning parameters, such as the granularity of thinned pixel points;
step three, the program gives a refining result, and if the refining result is not satisfactory, the parameters can be readjusted for refining;
step four, a designer sets targets, such as shortest pipeline length, minimum number of spray headers and the like, and weights of the pipeline length and the spray headers in results, and additionally, the number of iterations and the number of each iteration need to be set;
and step five, initializing and iterating the program according to the setting to generate an optimized scheme, if the designer is satisfied with the scheme, applying the scheme and finishing the program, and if the designer is not satisfied with the scheme, resetting and iterating according to the step four until the satisfied scheme is obtained.
The invention comprehensively applies the BIM model, image processing, generation design and other technologies. The BIM model is a data source of the invention, provides basic data of the design of the spraying system, and comprises spraying system inlets, floor information of buildings and space information in floors, such as floor height, rooms and the like, and image processing is used as a means for extracting data in the method, and the main network of the spraying system is obtained by giving image refinement of different parameters. The generative design is a design method which can interact with a designer, the designer defines targets and constraint conditions, and the computer generates a plurality of design schemes, and a series of optimized results can be found through iteration and can meet a plurality of competing targets and set parameter ranges defined by a user. The designer selects a satisfactory solution from the iteration results or redefines the target for a new iteration.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a spraying system based on BIM model which characterized in that: the spraying system comprises a user interaction layer, a spraying system generation system logic layer and a data processing layer, wherein the user interaction layer is responsible for processing user interaction, including display and input; the spraying system generation system logic layer is responsible for calling each module to form an actual workflow for the user interaction layer to call; the data processing layer comprises a Revit API module, an image processing module and a generating formula design module, wherein the Revit API module is used for reading BIM model data from Revit, the image processing module is used for refining images, and the generating formula module is used for iterating schemes.
2. A spray header and pipeline generating type design method based on a BIM spray system is characterized in that: the method comprises the following steps:
s1, selecting a plane view of the spraying system to be generated by taking a BIM model in Revit software as a data source;
s2, exporting the plane graph as a picture, carrying out binarization processing on the picture and the outline of the model extracted from the floor plane, and storing the picture and the outline of the model as an image;
s3, thinning the binary image to generate a main network of the spraying system, and generating an actual component in Revit;
s4, acquiring room information from the floor plane;
s5, calculating the number range and possible positions of the spray headers according to the specification, setting optimization parameters and scheme iteration times and the number of iterations each time by a designer, and setting weight;
s6, the computer generates a specified number of schemes according to the schemes of the designer, randomly generates the position of the spray header for each scheme, finds the position of the spray header closest to the main network and generates a new pipeline;
s7, according to the obtained network structure, counting the number of spray headers, the lengths of pipelines with various pipe diameters and the number of elbows by a computer to obtain the cost of the spray system;
and S8, screening out an optimization scheme by the computer, taking the optimization scheme as an initial scheme of the next iteration, and determining whether to randomly adjust the connection mode of the spray header to reenter the iteration according to the iteration times and the scheme.
And S9, evaluating the result by the designer, finishing the iteration if the result is satisfactory, and returning to S6 if the result is not satisfactory.
3. The generative design method according to claim 2, wherein the binarization processing of the picture in S2 sets the positions with model members to black and the positions without model members to white.
4. The generative design method according to claim 2, wherein in S3 comprises a step of first designer setting refinement parameters including pixel granularity of each refinement, a step of second computer refining the image according to the parameters of the number of branches controlled by the distance from the black point in binarization to the final trunk network, and a step of third line fitting refinement.
5. The generating type designing method according to claim 4, wherein said step of artificially judging whether the result of refining at S3 is satisfactory is to proceed to the next step, and to return to S3.
6. The generative design method according to claim 2, wherein the room area in S5 is divided by the single showerhead coverage to obtain a minimum number of showerheads.
7. The generative design method according to claim 2, wherein the position of the shower head and the edge of the room in S5 is not less than the minimum value specified by the specification, and the position between the two shower heads is not more than the maximum value specified by the specification.
8. The generative design method according to claim 2, wherein the new pipeline generated in S6 is connected to the trunk network through the newly generated elbow, the pipe diameter is set according to the specification, and the pipe diameters of the pipeline and the elbow are updated.
9. The generative design method according to claim 2, wherein the number of bends and the total length of the pipeline in S7 are used as the measure of complexity.
10. The generative design method according to claim 2, wherein the optimization scheme employed in S8 is a low cost and low complexity scheme.
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| CN202011525244.3A CN112560212B (en) | 2020-12-22 | BIM (building information modeling) spray system-based spray header and pipeline generation type design method |
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| CN202011525244.3A CN112560212B (en) | 2020-12-22 | BIM (building information modeling) spray system-based spray header and pipeline generation type design method |
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| CN112560212B CN112560212B (en) | 2024-06-28 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113239438A (en) * | 2021-05-20 | 2021-08-10 | 中机中联工程有限公司 | Rapid point location arranging method in BIM (building information modeling) |
| CN114912178A (en) * | 2022-05-19 | 2022-08-16 | 广州市创博机电设备安装有限公司 | Heating ventilation air conditioning equipment installation method and system based on BIM |
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| CN107729616A (en) * | 2017-09-18 | 2018-02-23 | 巧夺天宫（深圳）科技有限公司 | Fire protection pipeline design system, design method, electronic equipment and computer program product based on Sketchup |
| CN111382510A (en) * | 2020-03-06 | 2020-07-07 | 上海大学 | Method and system for automatic modeling of spraying system based on Revit |
| US20200242849A1 (en) * | 2019-01-30 | 2020-07-30 | Lisa Cini | Methods and systems for rendering and modifying three-dimensional models for interior design |
| CN111523165A (en) * | 2020-04-16 | 2020-08-11 | 刘小刚 | Building aided design method and system based on deep learning |
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| CN107577888A (en) * | 2017-09-18 | 2018-01-12 | 巧夺天宫（深圳）科技有限公司 | Fire-fighting spraying head design system, design method, electronic equipment and computer program product |
| CN107729616A (en) * | 2017-09-18 | 2018-02-23 | 巧夺天宫（深圳）科技有限公司 | Fire protection pipeline design system, design method, electronic equipment and computer program product based on Sketchup |
| US20200242849A1 (en) * | 2019-01-30 | 2020-07-30 | Lisa Cini | Methods and systems for rendering and modifying three-dimensional models for interior design |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113239438A (en) * | 2021-05-20 | 2021-08-10 | 中机中联工程有限公司 | Rapid point location arranging method in BIM (building information modeling) |
| CN114912178A (en) * | 2022-05-19 | 2022-08-16 | 广州市创博机电设备安装有限公司 | Heating ventilation air conditioning equipment installation method and system based on BIM |
| CN114912178B (en) * | 2022-05-19 | 2022-12-23 | 广州市创博机电设备安装有限公司 | Heating ventilation air conditioning equipment installation method and system based on BIM |
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