CN117131572A - Building design data analysis management system based on machine vision - Google Patents
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Abstract
The invention belongs to the field of building design, and discloses a building design data analysis and management system based on machine vision, which comprises a data acquisition module, a data calculation module, a data storage module and a data generation module; the data acquisition module is used for shooting the interior of the house to be tested to obtain a video stream; the data calculation module is used for analyzing the video stream, obtaining a detection image through the video stream, and then obtaining coordinates of all parts in the house based on the detection image to obtain data information in the house to be detected, wherein the data information comprises coordinates of all areas, length, width, height, cross beams, suspended ceilings, hydropower reserved positions and water pipe positions in the house; the data storage module is used for storing the data information in the house and matching with each decoration template of the database; the data generation module is used for generating the house model of the personal interests of the customer according to the house internal data information.
Description
Technical Field
The invention relates to the technical field of building design, in particular to a machine vision-based building design data analysis and management system.
Background
Along with the continuous development of the technology level, the requirements of people on clothing and eating residence are continuously improved, and particularly for the most important houses, more and more people have stronger will and initiative in indoor decoration, more design attempts are hoped, and the favorite and appreciating design elements are integrated into the design of the house, so that the living quality is improved. The traditional design is designed by a designer of an off-line store according to the general thought of a user, but the design has the limitation that the style of the designer is templated, the preference of both sides can be wrong, and if both sides understand that the difference result exists, the south-axis north rut is more likely, more financial resources are spent to achieve the satisfactory effect, and the design is also unwilling for a plurality of users to invest too much. The method is characterized in that the size of a house in a room can be obtained based on a machine vision technology, then recording management analysis is carried out, through taking data as a substrate, a user can generate a recommended or global and local customized decoration mode by selecting style library materials, the system can directly render an effect diagram, the user can intuitively see the rendered effect diagram on mobile terminal equipment, and on the basis of machine vision, reasonable solutions are needed to be provided for identifying obstacles and planning a hoisting home path in a complex decoration scene in the future.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a building design data analysis and management system based on machine vision. The aim of the invention is achieved by the following technical scheme:
the invention provides a building design data analysis management system based on machine vision, which comprises a data acquisition module, a data calculation module, a data storage module and a data generation module;
the data acquisition module is used for shooting the interior of the house to be tested to obtain a video stream; the data calculation module is used for analyzing the video stream, obtaining a detection image through the video stream, and then obtaining coordinates of all parts in the house based on the detection image to obtain data information in the house to be detected, wherein the data information comprises coordinates of all areas, length, width, height, cross beams, suspended ceilings, hydropower reserved positions and water pipe positions in the house; the data storage module is used for storing the data information in the house and matching with each decoration template of the database; the data generation module is used for generating a house model of personal interests of the client according to the house internal data information.
Preferably, the data calculation module obtains coordinates of each part inside the house based on the detection image, and the specific steps include:
s1, intercepting a detection image M from a video stream;
s2, identifying the house component M from the detection image M i Wherein i represents an i-th house member;
s3, obtaining the house component M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) K represents the kth vertex.
Preferably, the data storage module comprises a storage submodule and a database submodule, wherein the storage submodule is used for storing data information in a house to be tested; the database submodule is used for matching each house component in the house internal data information to be detected with the decoration material templates stored in the database submodule to obtain material components with the same size.
More preferably, the data generating module generates a house model of personal interest of the customer according to the house internal data information, and the specific steps include:
according to the house component M i Each vertex coordinate M ik (x ik ，y ik， z ik ) Information, building a house model, in particular from house components M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) Conversion to the coordinates N of each vertex of the internal member of the house model ik (x in ，y in ，z in ) Converted by the following formula:
x ik ＝KM 1 x in
y ik ＝KM 1 y in
z ik ＝KM 1 z in
wherein K is an in-camera parameter matrix in a data acquisition module based on machine vision, M 1 Is an external parameter matrix of the camera, M 1 The included rotation matrix R and translation vector t depend on the relative position relationship of the camera coordinate system and the world coordinate system;
the data generation module also comprises a wind grid module, wherein the style submodule is used for selecting style decorations of personal interests of clients for clients, and the database submodule is used for selecting decoration material templates of corresponding styles to apply the decoration material templates to the house model.
Preferably, the system further comprises an operation module for providing the customer with a decoration material template selected and stored in the database sub-module.
The customer can select floors, wall bricks, paint, wall cloth, cables and other models for hard-mounted building materials from the models, and can choose whether the non-bearing wall is removed or not through a house plan, and the effects of different styles before and after the removal are compared; meanwhile, the models of tables, chairs, cabinets, sofas, beds and other furniture home for soft packaging are selected to be arranged in the design drawing, and special effect settings for application of ambient light are also provided in the menu, so that scenes of daytime, night, cloudy days and sunny days are provided.
More preferably, the database submodule comprises decoration templates of living room, kitchen, toilet, bedroom and balcony.
Preferably, the system further comprises a decoration quotation module for recommending decoration companies and decoration material quotation for clients to refer according to the local location, and recommending corresponding price decoration packages by setting budgets.
Preferably, the system further comprises a furniture preassembling module for providing the visual effect of the assembled or disassembled furniture to the customer.
Preferably, the data storage module further comprises a power-off storage sub-module, and the power-off storage sub-module is used for timely storing data when the building design data analysis management system fails and is powered off.
More preferably, the power-off storage submodule comprises a backup power supply circuit and a power supply conversion circuit, wherein the backup power supply circuit comprises a diode D1, a light emitting diode D2, resistors R1-R2 and a super capacitor, the input end of the diode D1 is connected with a 3V power supply, the output end of the diode D1 is connected with the resistor R1 and the resistor R2, the resistor R1 is also connected with the positive electrode of the super capacitor, the negative electrode of the super capacitor is grounded, the other end of the resistor R2 is connected with the input end of the light emitting diode D2, and the input end of the light emitting diode D2 is grounded; the power conversion circuit comprises a charging circuit and a boost control circuit which are connected with each other.
Compared with the traditional design method, the urban emergency command operation system based on big data has the advantages that the three-dimensional information of the house is measured in more detail and accuracy based on machine vision, the details such as a house beam and a ceiling can be specified, a house model is built through data, immersive experience can be provided for a customer, a decoration template is freely replaced by automatically matching database information, the customer is given greater degree of freedom, design participation of the user in indoor decoration can be maximized, subjective motility of the user is easier to take place, and therefore the design can be more fit with the expectation of the user; finally, rich design scheme templates can be provided for users; the price window of the on-line and off-line home commodity information is provided, and the decoration with the optimal cost performance can be achieved to the maximum.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a block diagram of a machine vision based architectural design data analysis management system of the present invention;
FIG. 2 is a circuit diagram of a backup power circuit of the present invention;
fig. 3 is a circuit diagram of a power conversion circuit according to a preferred embodiment of the present invention.
Detailed Description
A machine vision based architectural design data analysis management system is described in further detail below in connection with specific embodiments, which are provided for comparison and explanation purposes only, and the present invention is not limited to these embodiments.
In one embodiment, as shown in fig. 1, a machine vision-based building design data analysis and management system is provided, which comprises a data acquisition module, a data calculation module, a data storage module and a data generation module;
the data acquisition module is used for shooting the interior of the house to be tested to obtain a video stream; the data calculation module is used for analyzing the video stream, obtaining a detection image through the video stream, and then obtaining coordinates of all parts in the house based on the detection image to obtain data information in the house to be detected, wherein the data information comprises coordinates of all areas, length, width, height, cross beams, suspended ceilings, hydropower reserved positions and water pipe positions in the house; the data storage module is used for storing the data information in the house and matching with each decoration template of the database; the data generation module is used for generating a house model of personal interests of the client according to the house internal data information.
Preferably, the data calculation module obtains coordinates of each part inside the house based on the detection image, and the specific steps include:
s1, intercepting a detection image M from a video stream;
shooting an indoor real scene through a camera, wherein the indoor real scene can be a blank or a finishing scene, and if a house plan is uploaded through a terminal or is constructed by a subsequent model, constructing and drawing;
s2, identifying the house component M from the detection image M i Wherein i represents an i-th house member;
the system identifies the house component M from the detected image M i ，M i The device can be a house hardware structure such as a house beam, a ceiling, a wall body and the like, or a soft-package structure such as a sofa, a dining table and the like, and the size space information is obtained after identification;
s3, obtaining the house component M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) K represents the kth vertex.
And obtaining coordinate information of each house component by taking the internal camera coordinate system of the photographed camera as an origin through the position of each house component.
Preferably, the data storage module comprises a storage submodule and a database submodule, wherein the storage submodule is used for storing data information in a house to be tested; the database submodule is used for matching each house component in the house internal data information to be detected with the decoration material templates stored in the database submodule to obtain material components with the same size.
More preferably, the data generating module generates a house model of personal interest of the customer according to the house internal data information, and the specific steps include:
according to the house component M i Each vertex coordinate M ik (x ik ，y ik， z ik ) Information, building a house model, in particular from house components M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) Conversion to the coordinates N of each vertex of the internal member of the house model ik (x in ，y in ，z in ) Converted by the following formula:
x ik ＝KM 1 x in
y ik ＝KM 1 y in
z ik ＝KM 1 z in
wherein K is an in-camera parameter matrix in a data acquisition module based on machine vision, M 1 Is an external parameter matrix of the camera, M 1 The included rotation matrix R and translation vector t depend on the relative positional relationship of the camera coordinate system and the world coordinate system, where K is the in-camera reference matrix in the machine vision based data acquisition module, M 1 Is an external parameter matrix of the camera, M 1 The included rotation matrix R and translation vector t depend on the relative position relationship of the camera coordinate system and the world coordinate system;
the data generation module also comprises a wind grid module, wherein the style submodule is used for selecting style decorations of personal interests of clients for clients, and the database submodule is used for selecting decoration material templates of corresponding styles to apply the decoration material templates to the house model.
The module can freely select materials through clients, when the clients select one decoration scheme, the modeling is used for coloring and rendering decoration resources on the three-dimensional model, effect graph data are transmitted back to visual interaction equipment after the decoration is completed, effects are submitted to a display screen to show preliminary effects for users, and the clients can personally replace the materials of single or multiple house components (ceilings, house beams, sofas and the like) in the module in different styles.
Or building a house model or applet link, and providing the house model or applet link for customers to watch at the terminal, thereby giving visual decoration experience.
Preferably, the system further comprises an operation module for providing the customer with a decoration material template selected and stored in the database sub-module.
More preferably, the database submodule comprises decoration templates of living room, kitchen, toilet, bedroom and balcony.
Different areas can be decorated differently by partitioning the house, including living room, kitchen, bathroom, bedroom and balcony.
Preferably, the system further comprises a decoration quotation module for recommending decoration companies and decoration material quotation for clients to refer according to the local location, and recommending corresponding price decoration packages by setting budgets.
According to the local position, recommending decoration companies and decoration material quotation sheets to be used for reference by customers, comparing prices with a network, and recommending corresponding price decoration packages by setting budgets, so that the customers are more relieved.
Preferably, the system further comprises a furniture preassembling module for providing the visual effect of the assembled or disassembled furniture to the customer.
When the customer decorates for the blank, through furniture preassembly module, provide different furniture style references.
Preferably, the data storage module further comprises a power-off storage sub-module, and the power-off storage sub-module is used for timely storing data when the building design data analysis management system fails and is powered off.
More preferably, the power-off storage submodule comprises a backup power supply circuit and a power supply conversion circuit, wherein the backup power supply circuit comprises a diode D1, a light emitting diode D2, resistors R1-R2 and a super capacitor, the input end of the diode D1 is connected with a 3V power supply, the output end of the diode D1 is connected with the resistor R1 and the resistor R2, the resistor R1 is also connected with the positive electrode of the super capacitor, the negative electrode of the super capacitor is grounded, the other end of the resistor R2 is connected with the input end of the light emitting diode D2, and the input end of the light emitting diode D2 is grounded; the power conversion circuit comprises a charging circuit and a boost control circuit which are connected with each other.
The main functions of the submodule are business data processing, data management, data resource protection and the like, and due to the fact that the general condition of a construction site is poor, equipment is easy to damage caused by multiple dust, and damage in high temperature or other aspects is easy to cause due to long-time practicality, the submodule aims to realize rapid storage of recorded house data under the condition of power failure or fault, so that the problem of safe storage of the data under the power failure state is solved.
And finally determining a lower decoration scheme, providing interfaces or services required by a customer in a construction stage, displaying building material sales units, decoration units and third party acceptance units which are resident in the system, and selecting or selecting relevant units or individual users under the line according to the requirements of the user.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. The building design data analysis and management system based on machine vision is characterized by comprising a data acquisition module, a data calculation module, a data storage module and a data generation module;
the data acquisition module is used for shooting the interior of the house to be tested to obtain a video stream; the data calculation module is used for analyzing the video stream, obtaining a detection image through the video stream, and then obtaining coordinates of all parts in the house based on the detection image to obtain data information in the house to be detected, wherein the data information comprises coordinates of all areas, length, width, height, cross beams, suspended ceilings, hydropower reserved positions and water pipe positions in the house; the data storage module is used for storing the data information in the house and matching with each decoration template of the database; the data generation module is used for generating a house model of personal interests of the client according to the house internal data information.
2. The machine vision-based architectural design data analysis and management system according to claim 1, wherein the data calculation module obtains coordinates of each part inside the house based on the detected image, and the specific steps include:
s1, intercepting a detection image M from a video stream;
s2, identifying the house component M from the detection image M i Wherein i represents an i-th house member;
s3, obtaining the house component M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) K represents the kth vertex.
3. The machine vision-based building design data analysis and management system according to claim 1, wherein the data storage module comprises a storage sub-module and a database sub-module, and the storage sub-module is used for storing data information inside a house to be tested; the database submodule is used for matching each house component in the house internal data information to be detected with the decoration material templates stored in the database submodule to obtain material components with the same size.
4. The machine vision-based building design data analysis and management system according to claim 2, wherein the data generation module generates a house model of personal interest of the customer based on the house internal data information, and the specific steps include:
according to the house component M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) Information, building a house model, in particular from house components M i Each vertex coordinate M ik (x ik ，y ik ，z ik ) Conversion to the coordinates N of each vertex of the internal member of the house model ik (x in ，y in ，z in ) Converted by the following formula:
x ik ＝KM 1 x in
y ik ＝KM 1 y in
z ik ＝KM 1 z in
wherein K is an in-camera parameter matrix in a data acquisition module based on machine vision, M 1 Is an external parameter matrix of the camera, M 1 The included rotation matrix R and translation vector t depend on the relative position relationship of the camera coordinate system and the world coordinate system;
the data generation module also comprises a wind grid module, wherein the style submodule is used for selecting style decorations of personal interests of clients for clients, and the database submodule is used for selecting decoration material templates of corresponding styles to apply the decoration material templates to the house model.
5. The machine vision based architectural design data analysis and management system of claim 1, further comprising an operation module for providing a customer with a model of finishing materials selected for storage in the database sub-module.
6. A machine vision based architectural design data analysis and management system according to claim 3, wherein the database sub-modules include decorative templates for living rooms, kitchens, toilets, bedrooms and balconies.
7. The machine vision based architectural design data analysis and management system of claim 1, further comprising a decoration quotation module for recommending decoration companies and decoration material quotation for customer reference based on the local location and recommending corresponding price decoration packages by setting budgets.
8. The machine vision-based architectural design data analysis and management system of claim 1, further comprising a furniture pre-installation module for providing a customer with a visual effect of installed or uninstalled furniture.
9. The machine vision based architectural design data analysis and management system of claim 1, wherein the data storage module further comprises a power-off storage sub-module for timely storing data when the architectural design data analysis and management system fails and power-off.
10. The machine vision-based building design data analysis and management system according to claim 9, wherein the outage storage submodule comprises a backup power supply circuit and a power supply conversion circuit, wherein the backup power supply circuit comprises a diode D1, a light emitting diode D2, resistors R1-R2 and a super capacitor, wherein an input end of the diode D1 is connected with a 3V power supply, an output end of the diode D1 is connected with the resistor R1 and the resistor R2, the resistor R1 is also connected with a positive electrode of the super capacitor, a negative electrode of the super capacitor is grounded, the other end of the resistor R2 is connected with an input end of the light emitting diode D2, and an input end of the light emitting diode D2 is grounded; the power conversion circuit comprises a charging circuit and a boost control circuit which are connected with each other.
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