CN113393581B - Large-scale planning deduction device, system and use method thereof - Google Patents

Large-scale planning deduction device, system and use method thereof Download PDF

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CN113393581B
CN113393581B CN202110774926.6A CN202110774926A CN113393581B CN 113393581 B CN113393581 B CN 113393581B CN 202110774926 A CN202110774926 A CN 202110774926A CN 113393581 B CN113393581 B CN 113393581B
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CN113393581A (en
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荆毅
张旭宝
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Beijing Shangbai Architectural Design Consulting Co ltd
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Beijing Shangbai Architectural Design Consulting Co ltd
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Abstract

The application relates to a large-scale planning deduction device, which comprises a base and a unit module, wherein a cavity is arranged in the base, a transparent supporting plate is covered on an opening, a project ground red line block which is reduced in scale according to the real land block size is arranged on the transparent supporting plate, the project ground red line block is clamped by a first clamping plate and a second clamping plate, and the unit module is arranged on the project ground red line block; the scanning device is arranged in the cavity of the base, the project land red line block is made of transparent material plates, the unit modules comprise building model units, road model units, greening model units and the like, and the bottoms of the unit modules of different types are provided with color identification blocks with different brightness and hue values. The application also discloses a deduction system and a deduction method of the application system. The device and the system synchronously combine and synchronously modify the virtual space and the real structure of the computer, so that the deduction planning structure is more visual, the structural change is clearer, and the deduction efficiency of the planning design is improved.

Description

Large-scale planning deduction device, system and use method thereof
Technical Field
The application belongs to the field of building planning, and particularly relates to a large-scale planning deduction device, a large-scale planning deduction system and a using method of the large-scale planning deduction device.
Background
With the improvement of living standard of residents and the improvement of aesthetic capability, requirements on residential areas are higher and higher, so that the cell planning is no longer satisfied with the design of buildings only and the effective arrangement of the whole space of the cells is required, and the value of the space is better exerted. In the planning and designing stage of residential areas and commercial areas, the design and planning are often carried out by means of soil property and computer simulation; on the other hand, the precondition design deduction is also carried out through a deduction device for reduced scale planning, such as a large scale planning deduction tool in the patent with the patent application number of 201620118932.0, and the disclosed deduction tool comprises a base and a plurality of unit modules which can be arranged on the base; the base is provided with a project ground red line graph; the project ground red line map is set as a scaled-down graph in accordance with the real land parcel size 1:50-100. The tool refines and realises the virtual space, improves the scale sense of people on the design planning level, and is beneficial to better realizing the space value of the building from the design consideration angle of building landscape integration.
However, the deduction tool in the above technology needs to modify the computer drawing again according to the modification scheme after completing the deduction planning, and cannot reflect in real time in the computer drawing, especially when performing the network conference deduction, the real object deduction model cannot be intuitively and immediately reflected to each participant. On the other hand, after the real object device is scaled down, the containing missing hidden space cannot be known, so that the planning design is not perfect enough, and the utilization value of the planning area cannot be fully reflected.
Disclosure of Invention
The application aims to solve the technical problem of providing a large-scale planning deduction device, a system and a use method thereof.
In order to achieve the above object, the application provides a large-scale planning deduction device, which comprises a base and a plurality of unit modules capable of being arranged on the base, wherein the base is of a hollow structure with a rectangular opening at the upper end surface, the opening is covered with a transparent supporting plate, a pair of angles of the transparent supporting plate are provided with a first clamping plate and a second clamping plate, and the first clamping plate and the second clamping plate respectively move in corresponding directions through an x-axis moving assembly and a y-axis moving assembly; the transparent supporting plate is provided with project ground red line blocks in a reduced proportion according to the real land block size, the first clamping plate and the second clamping plate clamp the project ground red line blocks, and the unit modules are arranged on the project ground red line blocks;
a scanning device is arranged in the hollow cavity of the base, the project ground red line block is made of a transparent material plate, and a positioning mark is arranged at the center of the project ground red line block; the unit modules at least comprise a plurality of building model units, a road model unit and a greening model unit, wherein the bottoms of the unit modules of different types are provided with color identification blocks with different brightness and hue values or with unique category identification codes.
Further, a coordinate ruler is arranged on the project land red line block; the bottom edge of the project ground red line block is provided with a proportional numerical type identification code or a proportional numerical value; the ratio value refers to the ratio between the ground red line block for the project and the real land block size, wherein the ratio is 1:50-100.
Further, the bottom of the unit module is a color identification block, and a transparent protective film is adhered to the surface of the color identification block; a plurality of small suckers are distributed on the bottom edge of the unit model; the unit module also comprises a tree model unit, a character model unit and a swimming pool fountain model unit. A step of
Still further, the first clamping plate and the second clamping plate are right-angle plates, the inner side of each right-angle plate is provided with a cushion block, and the outer side of each right-angle plate is connected with an x-axis moving assembly; the inner side of the opening edge of the base is provided with a groove, a y-axis moving assembly is arranged in the groove, and the y-axis moving assembly is connected with the end part of the x-axis moving assembly and can drive the x-axis moving assembly to move in a y-axis manner.
Further, the scanning device adopts a laser scanner; the scanning device is connected with an image data processing device, and the image processing device is also connected with a communication device and an alarm device.
The second aspect of the application discloses a large-scale planning deduction system applying the device, which comprises
The real object deduction module adopts the deduction device to carry out planning and design deduction of the reduced scale of the project ground red line block;
the image acquisition module is used for scanning and acquiring the bottom of the planned project ground red line block in the real object deduction module through the scanning device and acquiring the ground red line graph of the project to be analyzed with different types of unit module distribution;
the unit module analysis module is configured to obtain the specific type of the unit module at the corresponding position by distinguishing the color identification block or the category identification code of the unit module in the ground red line diagram of the item to be analyzed and simultaneously carrying out matching analysis by combining the identification module library information; the identification module library is a specific type information library of a preset stored unit module;
the model construction module is used for constructing a two-dimensional plane model and a three-dimensional stereoscopic model through the specific types and the corresponding positions of the unit modules obtained by the unit module analysis module;
the display module is used for displaying the built two-dimensional plane model and the built three-dimensional model;
and the communication module is configured to transmit the image information of the image acquisition module to the unit module analysis module.
Further, the system also comprises
The self-detection module is configured to detect a hidden space of the two-dimensional plane model built by the model building module, convert the size of the hidden space according to the proportion, and judge whether the hidden space belongs to a design blind area according to the conversion structure;
and the alarm module is configured to identify the position of the design blind area in the corresponding two-dimensional plane model when the design blind area appears, and give corresponding information or voice alarm.
Still further, the system further comprises
The positioning module is used for judging the central position of the project land red line block through a laser eye of the scanning device before the scanning device is configured to scan the project land red line block, and when the central position of the project land red line block is not at the scanning central position, the project land red line block is adjusted and calibrated to the scanning central position through the moving adjustment of the displacement adjustment module in the x-axis direction and the y-axis direction;
the displacement regulation and control module is configured to carry out position adjustment on the position of the project land red line drawing board block of the deduction device;
the self-help planning module is configured to establish a rule of the project land red line drawing board block for coping with the hidden position or the position to be planned by the system, carries out machine learning on the event which is processed in a standardized way by means of the computer machine learning model to obtain the machine learning model, configures the hidden position size in combination with the surrounding environment to meet the machine learning model group of the input-output combination when the hidden position alarm occurs, so as to carry out autonomous planning, and displays the machine learning model in the simulated project land red line drawing.
The third aspect of the application also discloses a corresponding using method according to the system, and the method at least comprises the following steps:
scanning by a scanning device to obtain the bottom of a planned project ground red line block in the physical deduction module, obtaining a ground red line diagram of a project to be analyzed with different types of unit module distribution, and transmitting the ground red line diagram to a unit module analysis module of the system through a communication module;
identifying color identification blocks or category identification codes of unit modules in the ground red line graph of the item to be analyzed, and simultaneously carrying out matching analysis by combining identification module library information to obtain the specific types of the unit modules at corresponding positions;
and constructing a two-dimensional plane model and a three-dimensional model by adopting the specific types and the corresponding positions of the unit modules acquired by the unit module analysis module, and displaying the two-dimensional plane model and the three-dimensional model in a display.
Further, the method further comprises:
detecting a hidden space of a two-dimensional plane model built by the model building module, converting the size of the hidden space according to a proportion, and judging whether the hidden space belongs to a design blind area or not according to a conversion structure;
when a design blind area appears, marking the position of the design blind area in a corresponding two-dimensional plane model, and giving corresponding information or voice alarm;
the method further comprises the steps of: the system establishes a rule of the project ground red line drawing board block for coping with a hidden position or a position to be planned, and carries out machine learning on the event which is normalized by means of a computer machine learning model to obtain a machine learning model; when the hidden position alarm occurs, the hidden position size is combined with the surrounding environment to configure a machine learning model group meeting the input-output combination, so that autonomous planning is performed, and the machine learning model group is displayed in a ground red line diagram for a simulation project.
The large-scale planning deduction device and the system monitor the planning structure change in the deduction process in real time through a scanner of a deduction device base, and construct a corresponding planar three-dimensional model; the design draft can be directly connected, and the structural modification change of the deduction process is directly reflected on the design draft to synchronously modify and display. The device and the system synchronously combine the virtual space of the computer with the real structure, so that the deduction planning structure is more visual, the structural change is clearer, and the deduction efficiency of planning design is improved. The device and the system enable the design of the tiny place not to be omitted through the self-detection module, find more hidden spaces, avoid the occurrence of design blind spots, promote architects to fill or enrich the space, and naturally enlarge the effectiveness of the design. In addition, the system can also directly conduct autonomous planning on the area to be planned, and provides more references for diversified structures of the building design, so that the working efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a large scale planning deduction apparatus according to the present application;
FIG. 2 is a schematic view of the structure of one embodiment of the unit module of the present application;
FIG. 3 is a schematic view of the structure of one embodiment of the first clamping plate of the present application;
FIG. 4 is a schematic diagram of one embodiment of a large scale planning deduction system according to the application;
FIG. 5 is a schematic diagram of another embodiment of the large scale planning deduction system of the present application;
fig. 6 is a schematic diagram of a large scale planning deduction method according to the present application.
Reference numerals
In the figure: 1-a base; 10-a transparent supporting plate; 11-a first clamping plate; 12-a second clamping plate; 14-cushion blocks; 15-a groove; 16-a lead screw; 17-a lead screw nut; 18-a telescoping assembly; 2-unit modules; 20-a color identification block; 22-small sucker; 3-project ground red line block; 30-positioning identification; 31-a coordinate scale; 4-scanning device.
Detailed Description
Specific embodiments of the present application are described in detail below with reference to the accompanying drawings.
Examples
Fig. 1 shows an embodiment of the large scale planning deduction device according to the application. The deduction device comprises a base 1 and a plurality of unit modules 2 which can be arranged on the base 1, wherein the base 1 is of a hollow structure with a rectangular opening at the upper end face, the opening is covered with a transparent supporting plate 10, and the transparent supporting plate can be made of glass or plastic materials. A first clamping plate 11 and a second clamping plate 12 are arranged at a pair of corners of the transparent supporting plate 10, and the first clamping plate 11 and the second clamping plate 12 respectively move in corresponding directions through an x-axis moving assembly and a y-axis moving assembly; the transparent pallet 10 is provided with a project land red line block 3 according to the real land block size reduction ratio, the first clamping plate 11 and the second clamping plate 12 clamp the project land red line block 3, and the unit modules 2 are arranged on the project land red line block 3.
The scanning device 4 is arranged in the hollow cavity of the base 1, the scanning lens of the scanning device faces to the transparent supporting tube, in a specific technical scheme, the scanning device 4 adopts a laser scanner, the scanning head of the laser scanner is arranged at the center position of the hollow cavity of the base 1, and the scanning device 4 is directly fixed to the base 1 or connected to the base 1 through a telescopic adjusting device. The project ground red line block 3 is made of a transparent material plate, and a positioning mark 30 is arranged at the center of the project ground red line block 3; the unit modules 2 include at least a plurality of types of building model units, road model units, and greening model units, and the bottoms of the different types of the unit modules 2 are provided with color identification blocks 20 of different brightness and hue values or with unique category identification codes, as shown in fig. 2. The building model unit is of a cuboid structure, the width, depth and height of the building model unit are marked with the sizes, the layer number is divided in the height direction, multiple types are arranged according to different sizes and layer numbers, and for the same type of unit module, the bottom color identification block of the building model unit can be set to different brightness and hue values, and can also be set to the same brightness and hue value but different sizes, and the building model unit with the specific layer number is obtained through the analysis of the chromaticity value or the size by the image data processor. In a specific example, in general, color identification blocks of different types of unit modules are set to colors with larger differences in hue values, and color identification blocks of the same type of unit modules are smaller in hue value differences and are further distinguished by larger differences in brightness values.
A coordinate ruler 31 is arranged on the upper surface of the project land red line block 3; position coordinates can be intuitively observed during deduction. The method comprises the steps that a reflective unidirectional perspective film is covered on the project ground red line block 3, so that external light can be prevented from interfering with scanning work of a scanner in a cavity by the reflective unidirectional perspective film, a color value of the bottom of a unit module obtained by scanning is more accurate, a recognition code or a ratio value of a ratio value type is arranged at the bottom edge of the project ground red line block 3, and when the project ground red line block 3 is used, an image data processing module recognizes and obtains a specific ratio value, and then each unit module and the distance among the unit modules are converted according to the specific ratio value; the ratio value refers to the ratio between the project land red line block 3 and the real land block size, wherein the ratio is 1:50-100. In some preferred examples, the ratio values are selected to be 1:50, 1:100.
The bottom of the unit module 2 is provided with a color identification block 20, and a transparent protective film is adhered to the surface of the color identification block 20, so that the color of the surface is prevented from falling off and fading when the unit module is used for too long. The bottom edge of the unit model 2 is distributed with a plurality of small suckers 22, and the small suckers can firmly adsorb the unit modules at the target positions, so that the unit modules cannot deviate even if the other unit modules are moved and rocked for many times. The unit modules further comprise, but are not limited to, tree model units, character model units and swimming pool fountain model units, and when in use, the unit modules of specific types can be arranged at set positions according to specific planning structures.
In one example, the clamping plates may be adjusted for side-to-side displacement. As shown in fig. 3, the first clamping plate 11 and the second clamping plate 12 are right-angle plates, the inner sides of the right-angle plates are provided with cushion blocks 14, and the outer sides of the right-angle plates are connected with an x-axis moving assembly; the inner side of the opening edge of the base 1 is provided with a groove 15, a y-axis moving assembly is arranged in the groove 15, and the y-axis moving assembly is connected with the end part of the x-axis moving assembly and can drive the x-axis moving assembly to move in a y-axis manner. The x-axis moving component is of a telescopic component 18 structure and can stretch in the x-axis direction according to the instruction; the y-axis moving assembly comprises a screw rod 16 fixed in the groove 15 and a screw rod nut 17 sleeved on the screw rod 16, and the outer side of the screw rod nut 17 is fixedly connected with the end part of the telescopic assembly 18.
In one example, the scanning device 4 is connected with an image data processing device, the image processing device is also connected with a communication device and an alarm device, after the image data processing device collects and obtains image data, image data analysis is performed, and when the analysis structure belongs to the alarm range, an alarm is sent.
The scanning device of the deduction device can also be replaced by a camera according to the application principle of the application in practical application; in some cases, the scanning device may be set in a timing scanning mode, or the scanning may be triggered by a user through a key, so a control key of the scanning device is disposed on a side of the base.
In one example, a large scale planning deduction system is disclosed, comprising a deduction device and a computer device connected to each other, the computer device comprising a processor and a memory, the memory storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by the processor to implement the functions of the system modules described below. As shown in fig. 4, the system includes:
the real object deduction module adopts the deduction device to carry out planning and design deduction of the reduced scale of the project ground red line block 3;
the image acquisition module is used for scanning and acquiring the bottom of the project ground red line block 3 planned in the real object deduction module through the scanning device 4 and acquiring the ground red line graph with different types of unit modules 2 distributed for the project to be analyzed; when actually collecting image data, the scanning device can automatically execute scanning operation at set time intervals, and can also manually issue execution commands, and generally, corresponding control buttons are arranged on the side edge and the front of the base;
the unit module analysis module is configured to obtain the specific type of the unit module at the corresponding position by distinguishing the color identification block or the category identification code of the unit module in the ground red line diagram of the item to be analyzed and simultaneously carrying out matching analysis by combining the identification module library information; the identification module library is a specific type information library of a preset stored unit module;
the model construction module is used for constructing a two-dimensional plane model and a three-dimensional stereoscopic model through the specific types and the corresponding positions of the unit modules obtained by the unit module analysis module; the two-dimensional plane model refers to a plane structure diagram formed by unit modules with different colors, and the three-dimensional stereogram is a three-dimensional stereogram established according to a specific model corresponding to a known color unit module; the model building software can adopt the existing drawing software, and can write corresponding generated program codes by the conventional technical means in the field;
the display module is used for displaying the built two-dimensional plane model and the built three-dimensional model;
and the communication module is configured to transmit the image information of the image acquisition module to the unit module analysis module.
In a further modified example, shown in FIG. 5, the system further comprises
The self-detection module is configured to detect a hidden space of the two-dimensional plane model built by the model building module, convert the size of the hidden space according to the proportion, and judge whether the hidden space belongs to a design blind area according to the conversion structure; for example, in a deduction model of 1:1000, a group space of 9m width is only displayed as 9mm, the system is converted according to the proportion of the model spacing according to 1:1000, and according to whether a conversion structure exceeds a set threshold value, if so, a design blind area is judged;
and the alarm module is configured to directly identify the position of the design blind zone in the corresponding two-dimensional plane model when the design blind zone occurs, and give out corresponding information or voice alarm.
The system also comprises
The positioning module is used for judging the central position of the project land red line block 3 through a laser eye of the scanning device 4 before the scanning device 4 is configured to scan the project land red line block 3, and when the central position of the project land red line block 3 is not at the scanning central position, the project land red line block 3 is adjusted and calibrated to the scanning central position through the moving adjustment of the displacement adjustment module in the x-axis direction and the y-axis direction;
the displacement regulation and control module is configured to carry out position adjustment on the position of the project floor red map plate 3 of the deduction device;
the self-service planning module is configured to establish a corresponding rule of the project floor red map plate 3 aiming at the hidden position or the position to be planned by the system, and performs machine learning on the event which is processed in a standardized way by means of the computer machine learning model to obtain the machine learning model. When the hidden position alarm occurs, the hidden position size is combined with the surrounding environment to configure a machine learning model group meeting the input-output combination, so that autonomous planning is performed, and the machine learning model group is displayed in a ground red line diagram for a simulation project.
In another aspect, the present application provides a method for using the large scale planning deduction system applied to the above embodiment, as shown in fig. 6, where the method at least includes the following steps:
the method comprises the steps of scanning and obtaining the bottom of a planned project ground red line block 3 in a physical deduction module by adopting a scanning device 4, obtaining a ground red line diagram of a project to be analyzed, which is distributed by different types of unit modules 2, and transmitting the ground red line diagram to a unit module analysis module of a system through a communication module;
identifying color identification blocks or category identification codes of unit modules in the ground red line graph of the item to be analyzed, and simultaneously carrying out matching analysis by combining identification module library information to obtain the specific types of the unit modules at corresponding positions;
and constructing a two-dimensional plane model and a three-dimensional model by adopting the specific types and the corresponding positions of the unit modules acquired by the unit module analysis module, and displaying the two-dimensional plane model and the three-dimensional model in a display.
The method further comprises the steps of:
detecting a hidden space of a two-dimensional plane model built by the model building module, converting the size of the hidden space according to a proportion, and judging whether the hidden space belongs to a design blind area or not according to a conversion structure;
when a design blind area appears, marking the position of the design blind area in a corresponding two-dimensional plane model, and giving corresponding information or voice alarm;
the method further comprises the steps of: the system establishes a map block 3 of the project floor red line for coping with rules of hidden positions or positions to be planned, carries out machine learning on normalized events by means of a computer machine learning model to obtain a machine learning model, configures a machine learning model group meeting input-output combination by combining the size of the hidden positions with surrounding environment when the hidden position alarm occurs, and carries out autonomous planning and displays the map block in the simulated project floor red line.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Furthermore, it should be noted that, in this document, the term "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
While the preferred embodiments and examples of the present application have been described in detail with reference to the accompanying drawings, the present application is not limited to the above-described embodiments and examples, and various changes may be made within the knowledge of those skilled in the art without departing from the spirit of the present application.

Claims (9)

1. The large-scale planning deduction device comprises a base (1) and a plurality of unit modules (2) which can be arranged on the base (1), and is characterized in that the base (1) is of a hollow structure with a rectangular opening at the upper end face, the opening is covered with a transparent supporting plate (10), a pair of angles of the transparent supporting plate (10) are provided with a first clamping plate (11) and a second clamping plate (12), and the first clamping plate (11) and the second clamping plate (12) respectively move in corresponding directions through an x-axis moving assembly and a y-axis moving assembly; the transparent supporting plate (10) is provided with a project ground red line block (3) according to the real ground block size reduction ratio, the project ground red line block (3) is clamped by the first clamping plate (11) and the second clamping plate (12), the unit module (2) is arranged on the project ground red line block (3), the first clamping plate (11) and the second clamping plate (12) are right-angle plates, the inner side of each right-angle plate is provided with a cushion block (14), and the outer side of each right-angle plate is connected with an x-axis moving assembly; a groove (15) is formed in the inner side of the opening edge of the base (1), a y-axis moving assembly is arranged in the groove (15), and the y-axis moving assembly is connected with the end part of the x-axis moving assembly and can drive the x-axis moving assembly to move in a y-axis manner;
a scanning device (4) is arranged in the hollow cavity of the base (1), a scanning lens of the scanning device (4) faces the transparent supporting plate (10), the project ground red line block (3) is made of a transparent material plate, and a positioning mark (30) is arranged at the center of the project ground red line block (3); the unit modules (2) at least comprise a plurality of building model units, road model units and greening model units, and the bottoms of the unit modules (2) of different types are provided with color identification blocks (20) with different brightness and hue values or with unique category identification codes.
2. The large-scale planning deduction device according to claim 1, wherein a coordinate scale (31) is arranged on the project ground red line block (3); the upper surface of the project ground red line block (3) is covered with a reflective unidirectional perspective film, and the bottom edge of the project ground red line block (3) is provided with a proportional numerical type identification code or a proportional numerical value; the ratio value refers to the ratio between the project ground red line block (3) and the real land block size, wherein the ratio is 1:50-100.
3. The large-scale planning deduction device according to claim 1, wherein the bottom of the unit module (2) is a color identification block (20), and a transparent protective film (21) is adhered to the surface of the color identification block (20); a plurality of small suckers (22) are distributed at the bottom edge of the unit model (2); the unit module (2) further comprises a tree model unit, a character model unit and a swimming pool fountain model unit.
4. A large scale planning deduction device according to any of claims 1-3, characterised in that the scanning device (4) employs a laser scanner; the scanning device (4) is connected with an image data processing device, and the image processing device is also connected with a communication device and an alarm device.
5. A system for large scale planning deduction using the apparatus of claim 4, the system comprising
The real object deduction module adopts the deduction device to carry out planning and design deduction of the reduced scale of the project ground red line block (3);
the image acquisition module is used for scanning and acquiring the bottom of the project ground red line block (3) planned in the real object deduction module through the scanning device (4) and acquiring the ground red line graph with different types of unit modules (2) distributed for the project to be analyzed;
the unit module analysis module is configured to obtain the specific type of the unit module (2) at the corresponding position by distinguishing the color identification block or the category identification code of the unit module (2) in the earth red diagram of the item to be analyzed and simultaneously carrying out matching analysis by combining the identification module library information; the identification module library is a specific type information library of a preset stored unit module (2);
the model construction module is used for constructing a two-dimensional plane model and a three-dimensional stereoscopic model through the specific types and the corresponding positions of the unit modules (2) obtained by the unit module analysis module;
the display module is used for displaying the built two-dimensional plane model and the built three-dimensional model;
and the communication module is configured to transmit the image information of the image acquisition module to the unit module analysis module.
6. The large scale planning deduction system of claim 5 further comprising
The self-detection module is configured to detect a hidden space of the two-dimensional plane model built by the model building module, convert the size of the hidden space according to the proportion, and judge whether the hidden space belongs to a design blind area according to the conversion structure;
and the alarm module is configured to identify the position of the design blind area in the corresponding two-dimensional plane model and/or the three-dimensional stereo model when the design blind area appears, and give out a corresponding voice alarm.
7. The large scale planning deduction system of claim 5 further comprising
The positioning module is used for judging the central position of the project ground red line block (3) through a laser eye of the scanning device (4) before the scanning device (4) is configured to scan the project ground red line block (3), and when the central position of the project ground red line block (3) is not in the scanning central position, the project ground red line block (3) is adjusted and calibrated to the scanning central position through the moving adjustment of the displacement adjustment module in the x-axis direction and the y-axis direction;
the displacement regulation and control module is configured to carry out position adjustment on the position of the project ground red line drawing board block (3) of the deduction device;
the self-help planning module is configured to establish a rule of the project ground red line drawing board block (3) aiming at a hidden position or a position to be planned, carries out machine learning on an event which is processed in a normalized mode by means of a computer machine learning model to obtain the machine learning model, configures a machine learning model group meeting input-output combination by combining the size of the hidden position with the surrounding environment when the hidden position alarm occurs, and therefore carries out autonomous planning and displays the autonomous planning in the simulated project ground red line drawing.
8. A method of using the large scale planning deduction system of claim 7, comprising at least the steps of:
the method comprises the steps of scanning and obtaining the bottom of a planned project ground red line block (3) in a physical deduction module by adopting a scanning device (4), obtaining a ground red line diagram of a project to be analyzed with different types of unit modules (2) distributed, and transmitting the ground red line diagram to a unit module analysis module of a system through a communication module;
distinguishing the color identification blocks or the category identification codes of the unit modules (2) in the ground red line graph for the item to be analyzed, and simultaneously carrying out matching analysis by combining the identification module library information to obtain the specific type of the unit module (2) at the corresponding position;
and constructing a two-dimensional plane model and a three-dimensional stereoscopic model by adopting the specific type and the corresponding position of the unit module (2) acquired by the unit module analysis module, and displaying the two-dimensional plane model and the three-dimensional stereoscopic model in a display.
9. The method of using a large scale planning deduction system of claim 8, further comprising:
detecting a hidden space of a two-dimensional plane model built by the model building module, converting the size of the hidden space according to a proportion, and judging whether the hidden space belongs to a design blind area or not according to a conversion structure;
when a design blind area appears, marking the position of the design blind area in a corresponding two-dimensional plane model, and giving a corresponding voice alarm;
the method further comprises the steps of: the system establishes a map board block (3) of the project land red line for aiming at the rule of coping with the hidden position or the position to be planned, and carries out machine learning on the event which is processed in a standardized way by means of a computer machine learning model to obtain a machine learning model; when the hidden position alarm occurs, the hidden position size is combined with the surrounding environment to configure a machine learning model group meeting the input-output combination, so that autonomous planning is performed, and the machine learning model group is displayed in a ground red line diagram for a simulation project.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107945283A (en) * 2017-12-06 2018-04-20 河南省水利勘测设计研究有限公司 Engineering methods of exhibiting based on mobile augmented reality technology and BIM
CN110766317A (en) * 2019-10-22 2020-02-07 北京软通智城科技有限公司 City index data display method, system, electronic equipment and storage medium
CN110853487A (en) * 2019-11-25 2020-02-28 西安工业大学 Digital sand table system for urban design
CN110929322A (en) * 2019-11-19 2020-03-27 广东博智林机器人有限公司 Method and system for establishing mapping between BIM model and three-dimensional cloud model
CN112465960A (en) * 2020-12-18 2021-03-09 天目爱视(北京)科技有限公司 Dimension calibration device and method for three-dimensional model

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107945283A (en) * 2017-12-06 2018-04-20 河南省水利勘测设计研究有限公司 Engineering methods of exhibiting based on mobile augmented reality technology and BIM
CN110766317A (en) * 2019-10-22 2020-02-07 北京软通智城科技有限公司 City index data display method, system, electronic equipment and storage medium
CN110929322A (en) * 2019-11-19 2020-03-27 广东博智林机器人有限公司 Method and system for establishing mapping between BIM model and three-dimensional cloud model
CN110853487A (en) * 2019-11-25 2020-02-28 西安工业大学 Digital sand table system for urban design
CN112465960A (en) * 2020-12-18 2021-03-09 天目爱视(北京)科技有限公司 Dimension calibration device and method for three-dimensional model

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