CN113360640A - Cloud user based generation method and device, electronic equipment and storage medium - Google Patents
Cloud user based generation method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN113360640A CN113360640A CN202110389307.5A CN202110389307A CN113360640A CN 113360640 A CN113360640 A CN 113360640A CN 202110389307 A CN202110389307 A CN 202110389307A CN 113360640 A CN113360640 A CN 113360640A
- Authority
- CN
- China
- Prior art keywords
- design
- user
- database
- elements
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/383—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
Abstract
The application provides a cloud user-based generation method and device, electronic equipment and a storage medium, which are applied to the field of data processing, and are used for extracting relevant data to be matched with a third database of a user to obtain a same feature construction feature model; the data analysis module integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user; and the data storage module is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user. Therefore, the problem that construction errors are caused by factors such as the size, the area and the size of a house is solved, other special designs are designed according to the needs of customers to decorate, the factors such as standard house type decoration style, customer decoration style, house size and area are balanced, and the customer experience is good.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a cloud user-based generation method and apparatus, an electronic device, and a storage medium.
Background
Through the high-speed development of the country, the living conditions of people are better and better, the demand on houses is higher and higher, the real estate industry develops rapidly, various house types appear for people to select, and the demand on decoration design in the house types is higher and higher; at present, when people need decoration, if people want to obtain a decoration effect diagram of a house, decoration companies mostly draw house types by using professional design software, then design according to user requirements, and to obtain a decoration design satisfied by a customer, designers and the user are often required to fully communicate and modify the design scheme for many times, so that the desired home decoration scheme can be obtained, and the process is complicated, time-consuming and labor-consuming, and is difficult to realize the design characteristics required by the standard customer;
in the process of referring to layout similar house types, traversing and screening are needed to be carried out in a pre-established house type database; the data volume of the house type databases is large, and the layout of the house type databases is various, so that the manual screening process is time-consuming and labor-consuming, the designer is not facilitated to quickly screen out the appropriate house type as a reference, and the design efficiency of the whole decoration company is low.
Disclosure of Invention
The method aims to solve the problem that traversal screening is carried out in a pre-established house type database; the house type databases are large in data volume and diversified in layout, so that the manual screening process is time-consuming and labor-consuming, the technical problem that a designer can screen out a proper house type quickly as a reference is solved, and a cloud user-based generation method, a cloud user-based generation device, electronic equipment and a storage medium are provided.
The application adopts the following technical means for solving the technical problems:
a cloud user-based generation method, the method comprising: the data acquisition module is used for acquiring the cloud information of the users, classifying the cloud information of the users, establishing a related database, obtaining a first database of the users through big data matching, and establishing a second database of the users according to design data information selected by the users;
the data processing module is used for classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements;
the data matching module extracts the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracts related data to match with the user third database, and obtains a same feature construction feature model;
the data analysis module integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user;
and the data storage module is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user.
Further, the cloud information of the users is classified and a related database is established, wherein the related database comprises data pages of the users, ages of the users and annual income information of the users.
Further, the first design element A, the second design element A and the third design element A are respectively compared with the first design element B, the second design element B and the third design element B in sequence, and a third database of the user is determined for the first design element A, the second design element A and the third design element A according to the up-down floating of the first design element B, the second design element B and the third design element B according to a preset difference value.
Further, the residual first design element A, the residual second design element A and the residual third design element A in the third database of the user are extracted from the first database of the user, wherein the recording is correspondingly carried out according to different room sizes and window positions of the A house planning size set, and the recording is correspondingly carried out according to different sofa placement positions and tea table placement positions of the A house furniture layout set.
Further, the method further comprises a data generation module, wherein the data generation module is used for carrying out image extraction on the preset house design drawing, reducing the characteristics in the house design drawing according to the proportion to obtain a comparison diagram with a certain size, and then carrying out corresponding modification successively according to other characteristics.
And further, integrating the first 5 characteristics in the characteristic model with a second database according to various data in the second database of the target user according to the characteristic model, wherein the system further comprises a first cloud database, and matching the big data according to other characteristics in the characteristic model to obtain other matching house sources.
Further, the big data are matched according to other characteristics in the characteristic model to obtain other multiple kinds of matching house sources, including obtaining sales data of the multiple kinds of matching house sources, and calling the house source with the best sales data to obtain a representative house source with other characteristics.
An apparatus for generating based on cloud user premise information, the apparatus comprising: the data acquisition unit is used for acquiring the cloud information of the users, classifying the cloud information of the users, establishing a related database, obtaining a first database of the users through big data matching, and establishing a second database of the users according to design data information selected by the users;
the data processing unit is used for classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements;
the data matching unit extracts the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracts related data to match with the user third database, and obtains the same feature construction feature model;
the data analysis unit integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user;
and the data storage unit is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user.
The first modeling unit is used for classifying according to data pages in a first database of a user to obtain A first design element, A second design element and A third design element;
the second modeling unit is used for classifying according to the reference house types in the second database of the user to obtain a first design element B, a second design element B and a third design element B;
the first obtaining unit is used for obtaining a third database of the user from the data pages, which are the same as those in the first design element B, the second design element B and the third design element B, in the first design element A, the second design element A and the third design element A;
the third modeling unit extracts the residual A first design element, A second design element and A third design element from the user first database to the user third database;
and the second obtaining unit is used for integrating the first 5 characteristics in the characteristic model with the second database according to each item of data in the second database of the target user by the characteristic model to obtain 5 pieces of design data information.
A cloud user based generation apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 7 when executing the program.
A computer-readable storage medium based on the generation of cloud users, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
The application provides a generating method and device based on a cloud user, an electronic device and a storage medium, and has the following beneficial effects: the data acquisition module is used for acquiring the cloud information of the users, classifying the cloud information of the users, establishing a related database, obtaining a first database of the users through big data matching, and establishing a second database of the users according to design data information selected by the users; the data processing module is used for classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements; the data matching module extracts the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracts related data to match with the user third database, and obtains a same feature construction feature model; the data analysis module integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user; and the data storage module is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user. Therefore, the problem that construction errors are caused by factors such as the size, the area and the size of a house is solved, other special designs are designed according to the needs of customers to decorate, the factors such as standard house type decoration style, customer decoration style, house size and area are balanced, and the customer experience is good.
Drawings
Fig. 1 is a flowchart illustrating an embodiment of a cloud user-based generation method according to the present application;
fig. 2 is a schematic overall structure diagram of an embodiment of a cloud user-based generation apparatus according to the present application.
The implementation, functional features and advantages of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is noted that the terms "comprises," "comprising," and "having" and any variations thereof in the description and claims of this application and the drawings described above are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. In the claims, the description and the drawings of the specification of the present application, relational terms such as "first" and "second", and the like, may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1-2, a flow chart of a cloud user-based generation method according to an embodiment of the present application is shown;
example one
A cloud user-based generation method, the method comprising:
s1, the data acquisition module acquires user cloud information, classifies the user cloud information, establishes a related database, obtains a first user database through big data matching, and establishes a second user database according to design data information selected by a user;
preferably, the cloud information of the users is classified and a related database is established, wherein the related database comprises a data page of the users, the ages of the users and the annual income information of the users;
specifically, the data page, the user age and the user annual income information of the user are obtained by obtaining the cloud data of the user, the bank loan amount can be correspondingly obtained according to the user age, the housing range capable of being born is determined according to the user annual income, and the housing type in the housing range far beyond the housing range capable of being born is eliminated from the design data information selected by the standard user.
S2, the data processing module classifies according to the data pages in the first database of the user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements;
preferably, the first design element A, the second design element A and the third design element A correspond to a building roof collection A, a building planning size collection A and a building furniture layout collection A respectively, and the first design element B, the second design element B and the third design element B correspond to a building roof collection B, a building planning size collection B and a building furniture layout collection B respectively.
Specifically, according to a data page of a user, correspondingly classifying browsed house types, classifying all browsed house type data into a house A area set, a house planning size set and a house furniture layout set, then, digitizing design data information selected by the user into a user second database, obtaining a house B area set, a house planning size set and a house furniture layout set of specific numerical values from the user second database, extracting house source house types with the same data as the house B area set, the house planning size set and the house furniture layout set one by one from the house A area set, the house planning size set and the house furniture layout set A, classifying the house source house types into a user third database, feeding back the user third database one by one to the user, and determining the change details of the house types for the first time according to the feedback of the user.
In another embodiment, the A-room accumulated set, the A-room planned size set and the A-room furniture layout set are respectively compared with the B-room accumulated set, the B-room planned size set and the B-room furniture layout set in sequence, and a third database of the user is determined for the A-room accumulated set, the A-room planned size set and the A-room furniture layout set by up-and-down floating according to preset differences according to the B-room accumulated set, the B-room planned size set and the B-room furniture layout set.
In an embodiment, the residual a-house integrated set, a-house planning size set and a-house furniture arrangement set in the third database of the user are extracted from the first database of the user, wherein recording is performed according to different room sizes and window positions of the a-house planning size set, and recording is performed according to different sofa arrangement positions and tea table arrangement positions of the a-house furniture arrangement set.
Specifically, a residual A house integrated set, an A house planning size set and an A house furniture layout set in a third database of a user are extracted from a first database of the user, the records are recorded according to different house sizes and window positions of the A house planning size set, a standard B house planning size set is recorded according to completely different house planning sizes, the user is fed back, and similarly, completely different sofa placement positions and tea table placement positions in the A house furniture layout set are recorded, the user is fed back, and the change details of the house type are determined for the second time according to the feedback of the user
Specifically, a preset up-down floating interval is determined according to a house B area set, a house B planning size set and a house B furniture arrangement set in a second database of the user, and then a third database of the user is determined for the house A area set, the house A planning size set and the house A furniture arrangement set.
S3, the data matching module extracts the residual A house area set, the A house planning size set and the A house furniture layout set in the third database of the user from the first database of the user, extracts related data to match with the third database of the user, and obtains the same feature construction feature model;
specifically, the residual A house integrated set, A house planning size set and A house furniture layout set in the third database are taken out from the first database of the user, corresponding design features are extracted from the A house integrated set and the A house planning size set, and a feature model is established for the extracted various features;
in another embodiment, design features that do not belong to the third database at all are also included.
S4, the data analysis module integrates the first 5 characteristics in the characteristic model with the second database according to each item of data in the second database of the standard user according to the characteristic model to obtain 5 parts of design data information, and feeds the information back to the user;
specifically, ranking is carried out through the coincidence proportion of the feature models, the obtained first 5 features are integrated with the second database to obtain 5-point design data information, design features which do not exist in the second database are used, and the design features which do not belong to the third database are used for calling the house type display diagram through the house type with the largest number of sales times to feed back to the user.
And S5, the data storage module records and stores the first user database, the second user database, the third user database and the design element modification of the user.
In one embodiment, the method further comprises a data generation module, wherein the data generation module is used for extracting images of a preset house design drawing, reducing the features in the house design drawing according to a proportion to obtain a comparison drawing with a certain size, and then sequentially making corresponding modification according to other features.
Preferably, the first 5 features in the feature model are integrated with the second database according to various data in the second database of the target user according to the feature model, wherein the first cloud database is further included, and the big data is matched according to other features in the feature model to obtain other matching house sources.
Preferably, the big data is matched according to other characteristics in the characteristic model to obtain other multiple kinds of matching house sources, including obtaining sales data of the multiple kinds of matching house sources, and calling the house source with the best sales data to obtain a representative house source with other characteristics.
Specifically, image extraction is carried out according to a preset house design drawing determined by a user to obtain a VR panorama by 1:1 ratio reduction, then adaptation size and house layout are carried out through first and second feedback modification opinions of the user, the VR panorama is added according to other characteristic models, third feedback modification opinions are carried out on the user to delete or reserve, and therefore the house design drawing with the reasonable size and layout is obtained, a house decoration style which is liked and reasonable by the user is achieved, and different points of factors such as standard house decoration style, customer decoration style, house size and area are balanced.
The VR panorama identifies 2D house type graph data according to the technology and combines house source layer height data to establish a 3D data model, generates a house source decoration design effect panorama, and generates VR rapidly by one key, so that a customer can foresee a new house in the future by 720 degrees, experience is improved, and decision-making efficiency is improved.
1. Based on an image recognition technology, recognizing coordinates and sizes of elements such as a wall, a window, a door and a home in a 2D house type image;
2. based on OCR technology, identifying name and area data among each function;
3. automatically generating 3D house type data by combining the house source layer height data through the extracted house type element coordinates, size, name and area data;
4. by combining the built 3D space data and VR generation technology, a VR effect is generated quickly by one key, a decoration panoramic effect image of ultra-high definition pixels is provided, customers can forecast their own future families in advance, and experience is improved;
building a house type evaluation data model by combining the distance and the orientation between the floors and the buildings of the house source, evaluating the house type of the house source from comprehensive evaluation of dimensions such as house type permeability, squareness degree, house type utilization rate, ventilation and lighting, house type layout and the like, assigning values to the house type of the house source, providing professional house type evaluation data, realizing data enabling brokers through data acquisition, data integration, data insights and data application, helping users to quickly match to proper house sources, and providing better house finding experience for the users;
in addition, corresponding functional position data, skill technical data and project technical data are extracted from a first database of a user, VR space data of other corresponding cloud users are matched according to the functional position data, the skill technical data and the project technical data, feedback reference is carried out, a certain large-direction design element set is provided, and a matching effect among design element characteristics is displayed.
Example two
Based on the same inventive concept as the cloud user-based generation method in the foregoing embodiment, the present invention further provides a cloud user-based generation apparatus, which includes:
the data acquisition unit 11 is used for acquiring user cloud information, classifying the user cloud information, establishing a related database, obtaining a first user database through big data matching, and establishing a second user database according to design data information selected by a user;
the data processing unit 12 classifies the data pages in the first database of the user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements;
the data matching unit 13 is used for extracting the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracting relevant data to be matched with the user third database, and obtaining the same characteristic construction characteristic model;
the data analysis unit 14 integrates the first 5 features in the feature model with the second database according to various data in the second database of the target user based on the feature model to obtain 5 pieces of design data information, and feeds the 5 pieces of design data information back to the user;
and the data storage unit 15 is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user.
The first modeling unit is used for classifying according to data pages in a first database of a user to obtain A first design element, A second design element and A third design element;
the second modeling unit is used for classifying according to the reference house types in the second database of the user to obtain a first design element B, a second design element B and a third design element B;
the first obtaining unit is used for obtaining a third database of the user from the data pages, which are the same as those in the first design element B, the second design element B and the third design element B, in the first design element A, the second design element A and the third design element A;
the third modeling unit extracts the residual A first design element, A second design element and A third design element from the user first database to the user third database;
and the second obtaining unit is used for integrating the first 5 characteristics in the characteristic model with the second database according to each item of data in the second database of the target user by the characteristic model to obtain 5 pieces of design data information.
EXAMPLE III
Based on the same inventive concept as the cloud user-based generation method in the foregoing embodiments, the present invention further provides a cloud user-based generation apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.
Example four
Based on the same inventive concept as the cloud user-based generation method in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the steps of: the data acquisition module is used for acquiring the cloud information of the users, classifying the cloud information of the users, establishing a related database, obtaining a first database of the users through big data matching, and establishing a second database of the users according to design data information selected by the users; the data processing module is used for classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements; the data matching module extracts the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracts related data to match with the user third database, and obtains a same feature construction feature model; the data analysis module integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user; and the data storage module is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user. Therefore, the problem that construction errors are caused by factors such as the size, the area and the size of a house is solved, other special designs are designed according to the needs of customers to decorate, the factors such as standard house type decoration style, customer decoration style, house size and area are balanced, and the customer experience is good.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the invention provides a cloud user-based generation method and a cloud user-based generation device,
the data acquisition module is used for acquiring the cloud information of the users, classifying the cloud information of the users, establishing a related database, obtaining a first database of the users through big data matching, and establishing a second database of the users according to design data information selected by the users; the data processing module is used for classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements; the data matching module extracts the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracts related data to match with the user third database, and obtains a same feature construction feature model; the data analysis module integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user; and the data storage module is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user. Therefore, the problem that construction errors are caused by factors such as the size, the area and the size of a house is solved, other special designs are designed according to the needs of customers to decorate, the factors such as standard house type decoration style, customer decoration style, house size and area are balanced, and the customer experience is good.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, 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.
Although embodiments of the present application have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A cloud user-based generation method is characterized by comprising the following steps:
the method comprises the steps of obtaining user cloud information, classifying the user cloud information, establishing a related database, obtaining a first user database through big data matching, and establishing a second user database according to design data information selected by a user;
classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements;
extracting the rest A first design element, A second design element and A third design element from the user first database to a user third database, and extracting related data to be matched with the user third database to obtain a same characteristic construction characteristic model;
integrating the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the target user according to the characteristic model to obtain 5 pieces of design data information, and feeding the information back to the user;
and recording and storing the first user database, the second user database, the third user database and the design element modification of the user.
2. The cloud user-based generation method of claim 1, wherein the cloud information of the users is classified and a relevant database is built, and the relevant database comprises data pages of the users, ages of the users and annual income information of the users.
3. The cloud user-based generation method according to claim 1, wherein the a first design element, the a second design element, and the a third design element are respectively compared with the B first design element, the B second design element, and the B third design element in sequence, and a third database of the user is determined for the a first design element, the a second design element, and the a third design element by up-down floating according to preset differences according to the B first design element, the B second design element, and the B third design element.
4. The cloud user-based generation method of claim 1, wherein the first user database is extracted to obtain the remaining first design element a, the second design element a, and the third design element a in the third user database, wherein the recording is performed according to different room sizes and window positions of the a-house planning size set, and the recording is performed according to different sofa placement positions and tea table placement positions of the a-house furniture layout set.
5. The cloud user-based generation method according to claim 1, further comprising a data generation module, wherein the data generation module is used for extracting images of a preset house design drawing, restoring features in the house design drawing according to a proportion to obtain a comparison diagram with a certain size, and sequentially making corresponding modifications according to other features.
6. The cloud user-based generation method according to claim 5, wherein the first 5 features in the feature model are integrated with a second database according to various data in the second database of the target user according to the feature model, and the cloud user-based generation method further comprises a first cloud database, and the big data is matched according to other features in the feature model to obtain other matching sources.
7. The cloud user-based generation method according to claim 6, wherein the big data is matched according to other features in the feature model to obtain other matching house sources, and the method includes obtaining sales data of the matching house sources, calling the house source with the best sales data, and obtaining a representative house source with other features.
8. An apparatus for generating cloud user profile information, the apparatus comprising:
the data acquisition unit is used for acquiring the cloud information of the users, classifying the cloud information of the users, establishing a related database, obtaining a first database of the users through big data matching, and establishing a second database of the users according to design data information selected by the users;
the data processing unit is used for classifying according to data pages in a first database of a user to obtain a first design element A, a second design element A and a third design element A; classifying according to reference house types in a second user database to obtain B first design elements, B second design elements and B third design elements, respectively registering the A first design elements, the A second design elements and the A third design elements with the B first design elements, the B second design elements and the B third design elements, and obtaining a third user database by using the same data pages in the A first design elements, the A second design elements and the A third design elements as the B first design elements, the B second design elements and the B third design elements;
the data matching unit extracts the residual A first design element, A second design element and A third design element from the user first database to a user third database, extracts related data to match with the user third database, and obtains the same feature construction feature model;
the data analysis unit integrates the first 5 characteristics in the characteristic model with the second database according to various data in the second database of the standard user by the characteristic model to obtain 5 parts of design data information, and feeds the 5 parts of design data information back to the user;
and the data storage unit is used for recording and storing the first user database, the second user database, the third user database and the design element modification of the user.
9. A cloud user based generation apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium based on the generation of cloud users, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110389307.5A CN113360640A (en) | 2021-04-12 | 2021-04-12 | Cloud user based generation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110389307.5A CN113360640A (en) | 2021-04-12 | 2021-04-12 | Cloud user based generation method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113360640A true CN113360640A (en) | 2021-09-07 |
Family
ID=77525169
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110389307.5A Pending CN113360640A (en) | 2021-04-12 | 2021-04-12 | Cloud user based generation method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113360640A (en) |
-
2021
- 2021-04-12 CN CN202110389307.5A patent/CN113360640A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102272650B1 (en) | System for providing virtual reality based interior service using three-dimentional space reconstruction | |
| Rogers | Visual media analysis for Instagram and other online platforms | |
| CN109255586A (en) | A kind of online personalized recommendation method that E-Governance Oriented is handled affairs | |
| CN116126809B (en) | Building information model data storage conversion method based on national standard | |
| CN111008253A (en) | Data model generation method, data warehouse generation device and electronic equipment | |
| CN106802913A (en) | One kind plays content recommendation method and its device | |
| US20240038274A1 (en) | 3d media elements in 2d video | |
| CN115423993A (en) | Three-dimensional GIS-based layered household monomer method and system | |
| CN115081087A (en) | Decoration cloud design method, device, equipment and storage medium based on Internet of things | |
| CN107408139A (en) | Spatial information generating means, spatial information generation method, program | |
| KR102330823B1 (en) | A System Providing Furniture Recommendation Service based on Augmented Reality | |
| Park et al. | Analysis of pairings of colors and materials of furnishings in interior design with a data-driven framework | |
| CN113946900B (en) | Method for quickly recommending similar house types based on house type profiles and distribution characteristics | |
| CN116862434A (en) | Material data management system and method based on big data | |
| CN113360640A (en) | Cloud user based generation method and device, electronic equipment and storage medium | |
| CN116663113A (en) | Space design generation type method based on AIGC technology | |
| Mayr et al. | The multiple faces of cultural heritage: Towards an integrated visualization platform for tangible and intangible cultural assets | |
| CN116595418A (en) | Multi-dimensional image construction method for scientific and technological achievements | |
| Echavarria et al. | Analyzing the decorative style of 3d heritage collections based on shape saliency | |
| CN114359506A (en) | Method and device for comparing house types and analyzing house type comparison results | |
| JP4518388B2 (en) | Web page browsing device | |
| Abergel et al. | Aïoli: A reality-based 3D annotation cloud platform for the collaborative documentation of cultural heritage artefacts | |
| CN117590951B (en) | Multi-scene VR interaction method, system and storage medium | |
| CN112818160B (en) | Furniture retrieval method and device based on furniture style | |
| CN114510591B (en) | Digital image generating and typesetting system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |