CN110263498B - Intelligent and efficient online decoration design and construction management method and system - Google Patents

Intelligent and efficient online decoration design and construction management method and system Download PDF

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CN110263498B
CN110263498B CN201910658128.XA CN201910658128A CN110263498B CN 110263498 B CN110263498 B CN 110263498B CN 201910658128 A CN201910658128 A CN 201910658128A CN 110263498 B CN110263498 B CN 110263498B
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CN110263498A (en
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温永治
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Shenzhen Top Creative Design Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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Abstract

An intelligent and efficient online decoration design and construction management method and system. The invention relates to the field of indoor design and indoor decoration construction project management, in particular to an intelligent and efficient online decoration design and construction management method and system. Through simple parameter setting, picture reference, video reference, text description and voice description of required decoration design effect or decoration requirement and project condition description, the method can quickly generate a plan scheme diagram, an effect diagram, a deepened construction diagram, a quotation file, a contract file and a construction management plan report, realize the monitoring and analysis of labor, purchase and construction conditions and provide reference opinions and resource information. The technical problems of low drawing efficiency and irregular drawing standard of the existing indoor design are solved, the efficiency of construction project management implementation is improved, the supervision transparence is greatly improved, and management and big data are fused, normalized, networked and digitized.

Description

Intelligent and efficient online decoration design and construction management method and system
Technical Field
The invention relates to the field of indoor design and indoor decoration construction project management, in particular to an intelligent and efficient online decoration design and construction management method and system.
Background
The common indoor design is that a designer communicates with a consumer offline, the designer designs the consumer offline according to the requirement of the consumer, a professional uses professional drawing software to draw a plane scheme diagram, a three-dimensional effect diagram and a deepened construction diagram to confirm the consumer, if each step is carried out smoothly, the time is at least more than 48 hours, and if the design diagram needs to be modified, a large amount of time and labor cost are needed, and the time and the money are consumed;
after the design scheme is finished, a constructor who finishes the decoration carries out budget quotation and contract customization on the design scheme, and can calculate accurate engineering quantity and list process instructions only by comprehensively and deeply knowing a design scheme diagram, so that the budget quotation and the contract customization work can be carried out, the time and labor cost are not little, and the efficiency is low;
after entering the construction stage, construction project management follows up is a very loaded down with trivial details and lengthy work, material purchase and construction management have been contained, every link all needs on-the-spot construction manager high strength to follow up, can master the condition such as job site progress, quality, material supply, just can implement and adjust the progress plan, because this kind of traditional mode management degree of difficulty is big at present, inefficiency, construction quality supervision is opaque, make the consumer unconscious, not worry, spend no rare money.
Disclosure of Invention
The invention provides an intelligent and efficient online decoration design and construction management method and system, and provides an intelligent and efficient online decoration design and construction management platform, which can quickly generate a plan scheme picture, an effect picture, a deepened construction drawing, a quotation file, a contract file and a construction management plan report through simple parameter setting, picture reference, video reference, character description and voice description of required decoration design effect or decoration requirement and project condition description, realize monitoring and analysis of labor, purchase and construction conditions, and provide reference opinions and resource information; the technical problems of low drawing efficiency and irregular drawing standard of the existing indoor design are solved, the implementation efficiency of construction project management is improved, the supervision transparence is greatly improved, the management and big data are fused, normalized, networked and digitized, and meanwhile, a communication interaction channel among designers, managers, consumers, laborers and suppliers is established.
The technical scheme of the invention is realized by the following method
An intelligent and efficient online decoration design and construction management method and system are disclosed, wherein the implementation method comprises the following steps:
(1) starting, selecting user types (designers, decoration companies, suppliers, laborers and tourists), dividing functions and authorities according to the selected user types, registering user accounts to become members, and starting various functions and authorities after logging in the accounts;
(2) collecting original plane drawing data in 4 collection modes (A), taking pictures of hand-drawn plane sketches and existing plane printed drawings or scanning and uploading the pictures, B, collecting data by uploading PDF format drawing electronic documents and CAD standard drawing electronic documents, C, collecting data by reading a measuring instrument terminal, and D, collecting data by a voice input mode, and adding an auxiliary photo or video uploading function;
(3) identifying and analyzing original plan data, and identifying and analyzing the uploaded original plan data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(4) generating an original plan drawing, and generating a brand new graphic image according to the extracted data by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color;
(5) setting original plan view modification parameters, marking a part to be modified, describing and modifying the part to be modified, wherein the specific description modes comprise 3 types (A, description is carried out by selecting preset content, B, description is carried out by a text input mode, C, description is carried out by a voice input mode), and finally, confirming the marked part and adding an auxiliary photo or video uploading function;
(6) identifying and analyzing the original plan view modification parameters, and identifying and analyzing the modified data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(7) generating an optimal original plan, and generating a graphic image with modified parameters by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable black-white and color modes;
(8) setting parameters of a plan view, marking functions or purposes of each space, describing relevant factors or design elements of each space, wherein the specific description modes comprise 3 types (A. the description is carried out by selecting preset contents, B. the description is carried out by a text input mode, C. the description is carried out by a voice input mode), and finally confirming the functions or purposes of each space and adding an auxiliary photo or video uploading function;
(9) identifying and analyzing the plan parameters, and identifying and analyzing the set data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(10) generating a plane plan drawing initial draft, and generating a graphic image according to set parameters by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color;
(11) setting plan picture modification parameters, marking a part to be modified, describing and modifying the part to be modified, wherein the specific description modes comprise 3 types (A, description is carried out by selecting preset content, B, description is carried out by a text input mode, C, description is carried out by a voice input mode), and finally confirming the marked part and adding an auxiliary photo or video uploading function;
(12) identifying and analyzing the plan view modification parameters, and identifying and analyzing the modified data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(13) generating an optimal plane scheme diagram, and generating a graphic image with modified parameters by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color;
(14) setting integral effect parameters, firstly setting relevant factors (decoration style, decoration cost and other self-defined factors), then describing and explaining relevant factors or design elements of each space in a specific description mode of 3 types (A. the description is carried out by selecting preset contents, B. the description is carried out by a text input mode, C. the description is carried out by a voice input mode), and finally confirming the relevant factors and adding an auxiliary photo or video uploading function;
(15) identifying and analyzing the overall effect parameters, and identifying and analyzing the set data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(16) generating a three-dimensional effect graph initial draft, and generating a graph image according to set parameters by utilizing an AI intelligent graph image generation technology;
(17) setting an overall effect modification parameter, marking a part to be modified, describing and modifying the part to be modified, wherein the specific description modes comprise 3 types (A, description is carried out by selecting preset content, B, description is carried out by a text input mode, C, description is carried out by a voice input mode), and finally confirming the marked part and adding an auxiliary photo or video uploading function;
(18) identifying and analyzing the overall effect modification parameters, and identifying and analyzing the modified data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(19) generating an optimal three-dimensional effect graph, and generating the graph image with modified parameters by using an AI intelligent graph image generation technology;
(20) setting deepened construction drawing parameters, setting the deepened construction drawing parameters on the basis of generating an optimal plane scheme drawing, firstly setting related factors (drawing style, drawing specification and other self-defined factors), and then describing and explaining the related factors in a specific description mode of 3 types (A. the description is carried out by selecting preset contents, B. the description is carried out by a text input mode, C. the description is carried out by a voice input mode), and finally confirming the related factors and adding an auxiliary photo or video uploading function;
(21) recognizing and analyzing the deepened construction drawing parameters, and recognizing and analyzing the set data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
(22) generating a deepened construction drawing initial draft, and generating a graphic image according to set parameters by utilizing an AI intelligent graphic image generation technology;
(23) setting a deepened construction drawing modification parameter, marking a part to be modified, describing and modifying the part to be modified, wherein the specific description modes comprise 3 types (A, description is carried out by selecting preset content, B, description is carried out by a text input mode, C, description is carried out by a voice input mode), and finally confirming the marked part and adding an auxiliary photo or video uploading function;
(24) recognizing and analyzing the modification parameters of the deepened construction drawing, and recognizing and analyzing the modified data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
(25) generating an optimized deepened construction drawing, and generating a graphic image with modified parameters by utilizing an AI intelligent graphic image generation technology;
(26) setting parameters of a quotation file, firstly setting related factors (report style, price library and other self-defined factors), then describing and explaining the related factors, wherein the specific description and explanation modes comprise 3 types (A. description and explanation are carried out by selecting preset contents, B. description and explanation are carried out by a text input mode, C. description and explanation are carried out by a voice input mode), and finally confirming the related factors and adding an auxiliary photo or video uploading function;
(27) identifying and analyzing quotation file parameters, and identifying and analyzing the set parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies on the basis of generating an optimized deepened construction drawing;
(28) generating an initial draft of a quotation list table, and performing table generation on set parameters by using an AI intelligent table generation technology;
(29) setting quotation file modification parameters, directly modifying local table contents in a specific modification mode of 3 types (A. modifying by selecting preset contents, B. modifying by a character input mode, C. describing and explaining by a voice input mode, automatically identifying and converting into characters), confirming modified positions, and adding an auxiliary photo or video uploading function;
(30) identifying and analyzing quotation file modification parameters, and identifying and analyzing the modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(31) generating an optimal quotation list, and performing table generation on the modified parameters by using an AI intelligent table generation technology;
(32) setting contract file parameters, firstly setting related factors (file style and other self-defined factors), then describing the related factors, wherein the specific description modes comprise 3 types (A. the description is carried out by selecting preset contents, B. the description is carried out by a text input mode, C. the description is carried out by a voice input mode), and finally confirming the related factors and adding an auxiliary photo or video uploading function;
(33) identifying and analyzing contract file parameters, and identifying and analyzing set parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies on the basis of generating an optimal quotation list table;
(34) generating a contract file initial draft, and performing text generation on the set parameters by using an AI intelligent text generation technology;
(35) setting contract file modification parameters, directly modifying local text contents in a specific modification mode of 3 types (A. modifying by selecting preset contents, B. modifying by a character input mode, C. describing and explaining by a voice input mode, automatically identifying and converting into characters), confirming modified positions, and adding an auxiliary photo or video uploading function;
(36) identifying and analyzing contract file modification parameters, and identifying and analyzing the modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(37) generating an optimal contract file, and performing text generation on the modified parameters by using an AI intelligent text generation technology;
(38) setting relevant parameters of project construction management, firstly setting relevant factors (file style and other self-defined factors), then describing and explaining the relevant factors, wherein the specific description and explanation modes comprise 3 types (A. description and explanation are carried out by selecting preset contents, B. description and explanation are carried out by a text input mode, C. description and explanation are carried out by a voice input mode), and finally confirming the relevant factors and adding an auxiliary photo or video uploading function;
(39) generating a project construction management file initial draft, and on the basis of generating an optimized deepened construction drawing and an optimized quotation list table, utilizing AI intelligent voice recognition, AI intelligent image recognition, AI intelligent data analysis, AI intelligent text generation, AI intelligent table generation, AI intelligent graphic image generation and AI intelligent map generation technologies to recognize and analyze set parameters to generate related data and reports such as text files, table files, graphic images, maps and the like;
(40) setting project construction management modification parameters, directly modifying local contents in a specific modification mode of 3 types (A. modifying by selecting preset contents, B. modifying by a character input mode, C. describing and explaining by a voice input mode, automatically identifying and converting into characters), confirming modified positions, and adding an auxiliary photo or video uploading function;
(41) identifying and analyzing project construction management modification parameters, and identifying and analyzing the modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
(42) generating construction management files of the optimized project, and utilizing AI intelligent text generation, AI intelligent table generation, AI intelligent graphic image generation and AI intelligent map generation technologies to generate relevant data and reports such as text files, table files, graphic images and maps of modified parameters; the specific content of the project construction management file is divided into 6 blocks (A. construction progress plan report, B. construction process technology analysis report, C. labor personnel management report, D. field progress management report, E. material purchase management report and F. reference information is provided), the construction field is monitored by a network video camera terminal, or uploaded photos and video data are automatically shot by the construction field personnel, and related progress descriptions can be recorded by a voice input mode, so that the uploaded photos or video data and voice data are identified and analyzed by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies, and real-time text file, real-time text file, real-time AI intelligent table, real-time AI intelligent image generation, real-time AI intelligent map generation technologies, real-time text file, real-time voice data, real-time data transmission, real-time, and real-time, and data transmission, and transmission are transmitted by utilizing AI intelligent text transmission, and transmission, transmission, And generating related data and reports such as table files, graphic images, maps and the like, providing reference opinions and resource information, and adding functions of instant messaging, audio recording and video recording.
The invention has the advantages that
The intelligent and efficient online decoration design and construction management platform is provided, through simple parameter setting, picture reference, video reference, text description and voice description, required decoration design effect or decoration requirement and project condition description, plane scheme diagrams, effect diagrams, deepened construction diagrams, quotation files, contract files and construction management plan reports are rapidly generated, monitoring and analysis of labor, purchase and construction conditions are realized, and reference opinions and resource information are provided; the technical problems of low drawing efficiency and irregular drawing standard of the existing indoor design are solved, the implementation efficiency of construction project management is improved, the supervision transparence is greatly improved, the management and big data are fused, normalized, networked and digitized, and meanwhile, a communication interaction channel among designers, managers, consumers, laborers and suppliers is established.
Drawings
In order to more intuitively express the technical scheme of the implementation of the invention, the implementation scheme is briefly described below,
FIG. 1 is a structural diagram of the overall operation flow of the intelligent and efficient online decoration design and construction management method and system of the present invention; FIG. 2 is a functional module structure diagram of the intelligent and efficient online decoration design and construction management method and system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and the described embodiments are only a part of the embodiments of the present invention, 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 any contribution to the inventive art, fall within the scope of protection of the present invention.
As shown in the flow structure method block diagram of the attached figure 1, the intelligent and efficient online decoration design and construction management method and system provided by the invention comprise the following steps: starting (refer to step No. S1 in fig. 1), collecting original plan view data (refer to step No. S2 in fig. 1), recognizing and analyzing the original plan view data (refer to step No. S3 in fig. 1), generating an original plan view initial draft (refer to step No. S4 in fig. 1), setting original plan view modification parameters (refer to step No. S5 in fig. 1), recognizing and analyzing the original plan view modification parameters (refer to step No. S6 in fig. 1), generating a preferred original plan view (refer to step No. S7 in fig. 1), setting plan view parameters (refer to step No. S8 in fig. 1), recognizing and analyzing the plan view parameters (refer to step No. S9 in fig. 1), generating a plan view initial draft (refer to step No. S10 in fig. 1), setting plan view modification parameters (refer to step No. S11 in fig. 1), recognizing and analyzing the plan view modification parameters (refer to step No. S12 in fig. 1), The method includes the steps of generating a preferred plan view (refer to step number S13 in fig. 1), setting a whole effect parameter (refer to step number S14 in fig. 1), identifying and analyzing a whole effect parameter (refer to step number S15 in fig. 1), generating a three-dimensional effect map first draft (refer to step number S16 in fig. 1), setting a whole effect modification parameter (refer to step number S17 in fig. 1), identifying and analyzing a whole effect modification parameter (refer to step number S18 in fig. 1), generating a preferred three-dimensional effect map (refer to step number S19 in fig. 1), setting a deepening construction map parameter (refer to step number S20 in fig. 1), identifying and analyzing a deepening construction map parameter (refer to step number S21 in fig. 1), generating a deepening construction map first draft (refer to step number S22 in fig. 1), setting a deepening construction map modification parameter (refer to step number S23 in fig. 1), identifying and analyzing a deepening construction map modification parameter (refer to step number S24 in fig. 1), The method includes the steps of generating a preferred deepened construction drawing (refer to step number S25 in fig. 1), setting quotation file parameters (refer to step number S26 in fig. 1), identifying and analyzing quotation file parameters (refer to step number S27 in fig. 1), generating a first draft of a quotation list table (refer to step number S28 in fig. 1), setting quotation file modification parameters (refer to step number S29 in fig. 1), identifying and analyzing quotation file modification parameters (refer to step number S30 in fig. 1), generating a preferred quotation list table (refer to step number S31 in fig. 1), setting contract file parameters (refer to step number S32 in fig. 1), identifying and analyzing contract file parameters (refer to step number S33 in fig. 1), generating a first draft of a contract file (refer to step number S34 in fig. 1), setting contract file modification parameters (refer to step number S35 in fig. 1), identifying and analyzing contract file modification parameters (refer to step number S36 in fig. 1), Generating a preferred contract file (refer to step number S37 in fig. 1), setting project construction management related parameters (refer to step number S38 in fig. 1), generating a project construction management file initial draft (refer to step number S39 in fig. 1), setting project construction management modification parameters (refer to step number S40 in fig. 1), identifying and analyzing project construction management modification parameters (refer to step number S41 in fig. 1), and generating a preferred project construction management file (refer to step number S42 in fig. 1);
as shown in the structural diagram of functional modules (an input and data acquisition module, various library modules, a data operation and output module) shown in the attached figure 2, the intelligent and efficient online decoration design and construction management method and system disclosed by the invention are realized, and the method comprises the following steps: inputting a command (refer to a module number A1 in FIG. 2), acquiring data (refer to a module number A2 in FIG. 2), presetting content (refer to a module number B1 in FIG. 2), inputting characters (refer to a module number B2 in FIG. 2), inputting voice (refer to a module number B3 in FIG. 2), uploading by taking a picture (refer to a module number B4 in FIG. 2), uploading by scanning (refer to a module number B5 in FIG. 2), reading an electronic document (refer to a module number B6 in FIG. 2), reading instrument terminal data (refer to a module number B7 in FIG. 2), recognizing characters (refer to a module number C1 in FIG. 2), recognizing voice (refer to a module number C2 in FIG. 2), recognizing images (refer to a module number C3 in FIG. 2), analyzing data (refer to a module number C4 in FIG. 2), performing a program in a previous stage (refer to a module number F1 in FIG. 2), analyzing operation (refer to a module number D1 in FIG. 2), executing a previous stage program (refer to a module number F1), A user library (refer to fig. 2 module number G1), a style library (refer to fig. 2 module number G2), a name library (refer to fig. 2 module number G3), a plan library (refer to fig. 2 module number G4), a three-dimensional model library (refer to fig. 2 module number G5), a deepened construction drawing library (refer to fig. 2 module number G6), a process explanation library (refer to fig. 2 module number G7), a symbol library (refer to fig. 2 module number G8), a price library (refer to fig. 2 module number G9), a material library (refer to fig. 2 module number G10), a material library (refer to fig. 2 module number G11), a file library (refer to fig. 2 module number G12), a project information library (refer to fig. 2 module number H1), a personnel information library (refer to fig. 2 module number H2), a style preset library (refer to fig. 2 module number H3), a custom style library (refer to fig. 2 module number H4), Various names (refer to a module number H5 in fig. 2), a plane plan (refer to a module number H6 in fig. 2), an effect plan (refer to a module number H7 in fig. 2), another plan (refer to a module number H8 in fig. 2), a monolithic three-dimensional model (refer to a module number H9 in fig. 2), a combined three-dimensional model (refer to a module number H10 in fig. 2), a deepened plane plan view (refer to a module number H11 in fig. 2), a deepened elevation view (refer to a module number H12 in fig. 2), a deepened node thumbnail view (refer to a module number H13 in fig. 2), various process descriptions (refer to a module number H14 in fig. 2), mathematical symbols (refer to a module number H15 in fig. 2), operation symbols (refer to a module number H16 in fig. 2), notations (refer to a module number H17 in fig. 2), other symbols (refer to a module number H18 in fig. 2), and a rating base (refer to a module number H19 in fig. 2), A market price library (refer to a module number H20 in FIG. 2), a custom price library (refer to a module number H21 in FIG. 2), a brand supplier library (refer to a module number H22 in FIG. 2), a custom material library (refer to a module number H23 in FIG. 2), a preset material library (refer to a module number H24 in FIG. 2), a custom material library (refer to a module number H25 in FIG. 2), a preset document library (refer to a module number H26 in FIG. 2), a custom file library (refer to a module number H27 in FIG. 2), a post analysis operation (refer to a module number K1 in FIG. 2), a post executive program (refer to a module number L1 in FIG. 2), a generated text (refer to a module number M1 in FIG. 2), a generated table (refer to a module number M2 in FIG. 2), a generated graphic image (refer to a module number M3 in FIG. 2), and a generated map (refer to a module number M4 in FIG. 2);
starting (refer to step number S1 in fig. 1), selecting a user type (designer, decoration company, supplier, laborer, tourist), dividing functions and permissions according to the selected user type, registering a user account as a member, and starting each function and permission after logging in the account;
designer user types (except for on-line decoration design and construction project management functions, the functions of advertisement cooperation, service butt joint, a design library, a list library and points are added, a design scheme and a design model can be uploaded to the design library, a list table is uploaded to the list library, other later-stage users can obtain corresponding points by adopting the scheme or the model, the points can be converted into corresponding cash values and are returned to the designer users), the design scheme and the design model concrete implementation requirements uploaded by the designer users (1. provided plan view, elevation view and node big sample view are marked with detailed dimensions and process instructions according to specified requirements, 2. provided three-dimensional models correspond to the plan view and the elevation view and accord with the examination requirements, 3. provided corresponding list table data meeting the requirements), all issued design schemes, design models and list tables are classified, grouped, numbered and put in storage after system examination, the design library comprises a style library, a scheme library, a three-dimensional model library, a deepened construction drawing library, a process method description library and a material library, wherein data in various libraries are stored in corresponding numbers;
user types of decoration companies: (besides the functions of on-line decoration design and construction project management, the functions of advertisement cooperation and service butt joint are also added);
the type of the supplier user (besides the functions of on-line decoration design and construction project management, the functions of advertisement cooperation and service butt joint are also added);
the type of the laborer (besides the functions of on-line decoration design and construction project management, the functions of advertisement cooperation and service butt joint are also added);
the type of the tourist user (only the functions of on-line decoration design and construction project management);
collecting original plane graph data (refer to step number S2 in figure 1), wherein the collection mode comprises the steps of A, collecting data by uploading a hand-drawn plane sketch, an existing plane printed graph (refer to module number B4 in figure 2) or scanning (refer to module number B5 in figure 2), B, collecting data by uploading a PDF format drawing electronic document and a CAD standard drawing electronic document (refer to module number B6 in figure 2), C, collecting data by reading a measuring instrument terminal (refer to module number B7 in figure 2), D, collecting data by a voice input mode (refer to module number B3 in figure 2), and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
identifying and analyzing the original plan view data (refer to step number S3 in fig. 1), and identifying and analyzing the uploaded original plan view data (refer to module number D1 in fig. 2) by using an AI intelligent character recognition (refer to module number C1 in fig. 2), an AI intelligent voice recognition (refer to module number C2 in fig. 2), an AI intelligent image recognition (refer to module number C3 in fig. 2), and an AI intelligent data analysis technique (refer to module number C4 in fig. 2);
generating an original plan view manuscript (refer to step number S4 in figure 1), and generating a brand new graphic image according to the extracted data by using an AI intelligent graphic image generation technology (refer to module number M3 in figure 2), wherein the generated graphic image has two modes of black and white and color;
setting original plan view modification parameters (refer to step number S5 in figure 1), marking a part to be modified, then carrying out description modification opinions on the part to be modified, wherein the specific description modes include 3 types (A), carrying out description by selecting preset contents (refer to module number B1 in figure 2), B, carrying out description by a text input mode (refer to module number B2 in figure 2), C, carrying out description by a voice input mode (refer to module number B3 in figure 2), and finally confirming the marked part and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
identifying and analyzing the original plan view modification parameters (refer to step number S6 in fig. 1), and identifying and analyzing the modified data by using AI intelligent character recognition (refer to module number C1 in fig. 2), AI intelligent voice recognition (refer to module number C2 in fig. 2), AI intelligent image recognition (refer to module number C3 in fig. 2), and AI intelligent data analysis technology (refer to module number D1 in fig. 2);
generating a preferred original plan view (refer to step number S7 in FIG. 1), and generating a graphic image with modified parameters by using an AI intelligent graphic image generation technology (refer to module number M3 in FIG. 2), wherein the generated graphic image has two selectable modes of black and white and color;
setting parameters of a plan view (refer to step number S8 in figure 1), marking functions or purposes of each space, describing relevant factors or design elements of each space, wherein the specific description modes include 3 types (A), describing by selecting preset contents (refer to module number B1 in figure 2), describing by text input mode (refer to module number B2 in figure 2), describing by voice input mode (refer to module number B3 in figure 2), and finally confirming the functions or purposes of each space and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
recognizing and analyzing the plan view parameters (refer to step number S9 in fig. 1), and recognizing and analyzing the set data by using AI intelligent character recognition (refer to block number C1 in fig. 2), AI intelligent voice recognition (refer to block number C2 in fig. 2), AI intelligent image recognition (refer to block number C3 in fig. 2), and AI intelligent data analysis technology (refer to block number D1 in fig. 2);
generating a plan view sketch (refer to step number S10 in figure 1), generating a graphic image according to set parameters by using an AI intelligent graphic image generation technology (refer to module number M3 in figure 2), wherein the generated graphic image has two selectable modes of black and white and color;
setting plane plan map modification parameters (refer to step number S11 in figure 1), marking a part to be modified, then carrying out description modification opinions on the part to be modified, wherein the specific description modes include 3 types (A), carrying out description by selecting preset contents (refer to module number B1 in figure 2), B, carrying out description by a text input mode (refer to module number B2 in figure 2), C, carrying out description by a voice input mode (refer to module number B3 in figure 2), and finally confirming the marked part and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
recognizing and analyzing the plan view modification parameters (refer to step number S12 in fig. 1), and recognizing and analyzing the set data by using AI intelligent character recognition (refer to block number C1 in fig. 2), AI intelligent voice recognition (refer to block number C2 in fig. 2), AI intelligent image recognition (refer to block number C3 in fig. 2), and AI intelligent data analysis techniques (refer to block number D1 in fig. 2);
generating a preferred plan view (refer to step number S13 in FIG. 1), generating a graphic image according to the set parameters by using an AI intelligent graphic image generation technology (refer to module number M3 in FIG. 2), wherein the generated graphic image has two selectable modes of black and white and color;
setting an overall effect parameter (refer to step number S14 in figure 1), firstly setting related factors (decoration style, decoration cost and other self-defined factors), then describing and explaining related factors or design elements of each space, wherein the specific description mode comprises 3 types (A), describing and explaining by selecting preset content (refer to module number B1 in figure 2), B, describing and explaining by a character input mode (refer to module number B2 in figure 2), C, describing and explaining by a voice input mode (refer to module number B3 in figure 2), and finally confirming related factors and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
recognizing and analyzing the overall effect parameter (refer to step number S15 in fig. 1), and recognizing and analyzing the set data by using an AI intelligent character recognition (refer to block number C1 in fig. 2), an AI intelligent voice recognition (refer to block number C2 in fig. 2), an AI intelligent image recognition (refer to block number C3 in fig. 2), and an AI intelligent data analysis technique (refer to block number D1 in fig. 2);
generating a three-dimensional effect graph draft (refer to step number S16 in fig. 1), and generating a graph image according to set parameters by using an AI intelligent graph image generation technology (refer to block number M3 in fig. 2);
setting an overall effect modification parameter (refer to step number S17 in figure 1), marking a part to be modified, then carrying out description modification opinions on the part to be modified, wherein the specific description modes include 3 types (A), carrying out description by selecting preset contents (refer to module number B1 in figure 2), B, carrying out description by a text input mode (refer to module number B2 in figure 2), C, carrying out description by a voice input mode (refer to module number B3 in figure 2), and finally confirming the marked part and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
recognizing and analyzing the overall effect modification parameter (refer to step number S18 in fig. 1), and recognizing and analyzing the modified data by using AI intelligent character recognition (refer to module number C1 in fig. 2), AI intelligent voice recognition (refer to module number C2 in fig. 2), AI intelligent image recognition (refer to module number C3 in fig. 2), and AI intelligent data analysis technology (refer to module number D1 in fig. 2);
generating a preferred three-dimensional effect graph (refer to step number S19 in FIG. 1), and generating a graph image with modified parameters by using an AI intelligent graph image generation technology (refer to module number M3 in FIG. 2);
setting deepened construction drawing parameters (refer to step number S20 in figure 1), setting deepened construction drawing parameters on the basis of generating a preferred plan drawing (refer to step number S13 in figure 1), firstly setting related factors (drawing style, drawing specification and other self-defined factors), then describing and explaining the related factors, wherein the specific description modes comprise 3 types of A, describing and explaining by selecting preset content (refer to module number B1 in figure 2), B, describing and explaining by a character input mode (refer to module number B2 in figure 2), C, describing and explaining by a voice input mode (refer to module number B3 in figure 2), and finally confirming the related factors and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
recognizing and analyzing the deepened construction drawing parameters (refer to step number S21 in FIG. 1), and recognizing and analyzing the set data by using AI intelligent character recognition (refer to module number C1 in FIG. 2), AI intelligent voice recognition (refer to module number C2 in FIG. 2), AI intelligent image recognition (refer to module number C3 in FIG. 2) and AI intelligent data analysis technology (refer to module number D1 in FIG. 2);
generating a deepened construction drawing initial draft (refer to step number S22 in FIG. 1), and generating a graphic image according to set parameters by using an AI intelligent graphic image generation technology (refer to module number M3 in FIG. 2);
setting a deepened construction drawing modification parameter (refer to step number S23 in figure 1), marking a part to be modified, describing and modifying the part to be modified, wherein the specific description mode comprises 3 types of (A) description is carried out by selecting preset content (refer to module number B1 in figure 2), B description is carried out by a text input mode (refer to module number B2 in figure 2), C description is carried out by a voice input mode (refer to module number B3 in figure 2), and finally, the marked part is confirmed, and an auxiliary photo or video uploading function is added (refer to module number B4 in figure 2);
recognizing and analyzing the deepened construction drawing modification parameters (refer to step number S24 in figure 1), and recognizing and analyzing the modified data by using AI intelligent character recognition (refer to module number C1 in figure 2), AI intelligent voice recognition (refer to module number C2 in figure 2), AI intelligent image recognition (refer to module number C3 in figure 2) and AI intelligent data analysis technology (refer to module number D1 in figure 2);
generating a preferable deepened construction drawing (refer to step number S25 in FIG. 1), and generating a graphic image with modified parameters by using an AI intelligent graphic image generation technology (refer to module number M3 in FIG. 2);
setting parameters of a quotation file (refer to step number S26 in figure 1), firstly setting related factors (report style, price library and other self-defined factors), then describing the related factors, wherein the specific description mode comprises 3 types (A), the description is carried out by selecting preset content (refer to module number B1 in figure 2), B, the description is carried out by a character input mode (refer to module number B2 in figure 2), C, the description is carried out by a voice input mode (refer to module number B3 in figure 2), and finally, the related factors are confirmed, and an auxiliary photo or video uploading function is added (refer to module number B4 in figure 2);
identifying and analyzing quotation file parameters (refer to step number S27 in figure 1), and identifying and analyzing the set parameters by using AI intelligent character identification (refer to module number C1 in figure 2), AI intelligent voice identification (refer to module number C2 in figure 2), AI intelligent image identification (refer to module number C3 in figure 2) and AI intelligent data analysis technology (refer to module number D1 in figure 2) on the basis of generating a preferable deepened construction drawing (refer to step number S25 in figure 1);
generating a draft of the quotation list table (refer to step number S28 in FIG. 1), and performing table generation on the set parameters by using an AI intelligent table generation technology (refer to module number M2 in FIG. 2);
setting quotation file modification parameters (refer to step number S29 in figure 1), firstly directly modifying local table contents, specifically, 3 types of modification modes are provided, namely, A, modification is carried out by selecting preset contents (refer to module number B1 in figure 2), B, modification is carried out by a character input mode (refer to module number B2 in figure 2), C, description is carried out by a voice input mode (refer to module number B3 in figure 2), automatic identification is carried out to convert characters (refer to module number C2 in figure 2), modified parts are confirmed, and an auxiliary photo or video uploading function is added (refer to module number B4 in figure 2);
identifying and analyzing quotation file modification parameters (refer to step number S30 in figure 1), and identifying and analyzing the modified parameters by using AI intelligent character identification (refer to module number C1 in figure 2), AI intelligent voice identification (refer to module number C2 in figure 2), AI intelligent image identification (refer to module number C3 in figure 2) and AI intelligent data analysis technology (refer to module number D1 in figure 2);
generating a preferred quotation list (refer to step number S31 in FIG. 1), and performing table generation on the modified parameters by using an AI intelligent table generation technology (refer to module number M2 in FIG. 2);
setting contract file parameters (refer to step number S32 in figure 1), setting related factors (file style and other self-defined factors) first, describing the related factors, wherein the specific description mode comprises 3 types (A), describing by selecting preset contents (refer to module number B1 in figure 2), describing by a text input mode (refer to module number B2 in figure 2), describing by a voice input mode (refer to module number B3 in figure 2), and finally confirming the related factors and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
identifying and analyzing contract document parameters (refer to step number S33 in fig. 1), and identifying and analyzing the set parameters by using AI intelligent character recognition (refer to block number C1 in fig. 2), AI intelligent voice recognition (refer to block number C2 in fig. 2), AI intelligent image recognition (refer to block number C3 in fig. 2), and AI intelligent data analysis techniques (refer to block number D1 in fig. 2) on the basis of generating a preferred quotation list table (refer to step number S31 in fig. 1);
generating a contract document initial draft (refer to step number S34 in FIG. 1), and performing text generation on the set parameters by using an AI intelligent text generation technology (refer to module number M1 in FIG. 2);
setting contract file modification parameters (refer to step number S35 in figure 1), firstly directly modifying local text contents, wherein the specific modification modes include 3 types (A), modifying by selecting preset contents (refer to module number B1 in figure 2), modifying by a character input mode (refer to module number B2 in figure 2), describing by a voice input mode (refer to module number B3 in figure 2), automatically identifying and converting into characters (refer to module number C2 in figure 2), confirming modified positions, and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
identifying and analyzing contract document modification parameters (refer to step number S36 in FIG. 1), and identifying and analyzing the modified parameters by using AI intelligent character recognition (refer to module number C1 in FIG. 2), AI intelligent voice recognition (refer to module number C2 in FIG. 2), AI intelligent image recognition (refer to module number C3 in FIG. 2) and AI intelligent data analysis technology (refer to module number D1 in FIG. 2);
generating a preferred contract file (refer to step number S37 in FIG. 1), and performing text generation on the modified parameters by using an AI intelligent text generation technology (refer to module number M1 in FIG. 2);
setting relevant parameters of project construction management (refer to step number S38 in figure 1), firstly setting relevant factors (file style and other self-defined factors), then describing the relevant factors, wherein the specific description mode comprises 3 types (A. the description is carried out by selecting preset content (refer to module number B1 in figure 2), B. the description is carried out by a character input mode (refer to module number B2 in figure 2), C. the description is carried out by a voice input mode (refer to module number B3 in figure 2), and finally, confirming the relevant factors and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
creating a project construction management file initial draft (refer to step number S39 in fig. 1), creating a preferred deepened construction drawing (refer to step number S25 in fig. 1) and a preferred quotation list table (refer to step number S31 in fig. 1), and using AI intelligent speech recognition (refer to block number C2 in fig. 2), AI intelligent image recognition (refer to block number C3 in fig. 2), AI intelligent data analysis (refer to block number D1 in fig. 2), AI intelligent text creation (refer to block number M1 in fig. 2), AI intelligent table creation (refer to block number M2 in fig. 2), and AI intelligent graphic image creation (refer to block number M3 in fig. 2), the AI intelligent map generation technology (refer to module number M4 in fig. 2) identifies, analyzes and calculates the set parameters, and generates related data and reports such as text files, table files, graphic images, maps, and the like;
setting project construction management modification parameters (refer to step number S40 in figure 1), directly modifying local contents, wherein the modification modes include 3 types (A), modifying by selecting preset contents (refer to module number B1 in figure 2), modifying by a character input mode (refer to module number B2 in figure 2), describing by a voice input mode (refer to module number B3 in figure 2), automatically identifying and converting into characters (refer to module number C2 in figure 2), confirming modified positions, and adding an auxiliary photo or video uploading function (refer to module number B4 in figure 2);
identifying and analyzing project construction management modification parameters (refer to step number S41 in FIG. 1), and identifying and analyzing the modified parameters by using AI intelligent character recognition (refer to module number C1 in FIG. 2), AI intelligent voice recognition (refer to module number C2 in FIG. 2), AI intelligent image recognition (refer to module number C3 in FIG. 2) and AI intelligent data analysis technology (refer to module number D1 in FIG. 2);
generating a preferred project construction management file (refer to step number S42 in fig. 1), and generating related data such as a text file, a table file, a graphic image, and a map and a report for the modified parameters by using an AI intelligent text generation (refer to module number M1 in fig. 2), an AI intelligent table generation (refer to module number M2 in fig. 2), an AI intelligent graphic image generation (refer to module number M3 in fig. 2), and an AI intelligent map generation technique (refer to module number M4 in fig. 2); the specific contents contained in the project construction management file are divided into 6 blocks (A. construction progress plan report, B. construction process technology analysis report, C. labor personnel management report, D. field progress management report, E. material purchasing management report and F. reference information is provided), the construction site is monitored by a network video camera terminal, or uploaded pictures and video data are automatically shot by construction site personnel, or related progress descriptions are recorded by a voice input mode, so that the uploaded pictures or video data and voice data are identified and analyzed by AI intelligent character identification (refer to a module number C1 in figure 2), AI intelligent voice identification (refer to a module number C2 in figure 2), AI intelligent image identification (refer to a module number C3 in figure 2) and AI intelligent data analysis technology (refer to a module number D1 in figure 2), and AI intelligent texts are generated (refer to a module number M1 in figure 2), The AI intelligent form generation (refer to module number M2 in figure 2), the AI intelligent graphic image generation (refer to module number M3 in figure 2), and the AI intelligent map generation technology (refer to module number M4 in figure 2) perform real-time generation of relevant data and reports such as text files, form files, graphic images, maps and the like on the construction site, provide reference opinions and resource information, and add functions of instant messaging, audio recording and video recording;
the various AI intelligence techniques mentioned in the above embodiments are implemented by the following algorithms, and the described algorithms implemented by the various AI intelligence techniques are only a part of the algorithms of the present invention, and not all of the algorithms:
the algorithm realized by the AI intelligent character recognition technology is as follows: matching preset or input digital and character keyword characteristics with sample characteristics in a database, and accurately positioning an instruction corresponding to a database sample so as to obtain a related identification result and automatically sending an instruction modification parameter;
an algorithm realized by the AI intelligent voice recognition technology: matching the sound keyword characteristics in the sound recording with the sample characteristics in the database to accurately locate the instruction corresponding to the database sample, thereby obtaining the relevant identification result and automatically sending the instruction modification parameters;
an algorithm realized by an AI intelligent image recognition technology: matching the characteristics of lines, numbers, characters, colors, shapes and the like in the picture with the characteristics of the samples in the database, accurately positioning the instructions corresponding to the database samples, thereby obtaining related recognition results and automatically sending instruction modification parameters;
an algorithm realized by an AI intelligent data analysis technology: sending an instruction through set parameters, and analyzing and calculating related data, thereby realizing the functions of automatic classification, automatic grouping, automatic numbering, automatic deep learning and automatic data updating;
an algorithm realized by an AI intelligent graphic image generation technology: sending an instruction through the set parameters, indexing the feature library to obtain corresponding features, and combining the corresponding features with data features in various libraries to generate a graphic image;
an algorithm realized by an AI intelligent text generation technology: sending an instruction through the set parameters, indexing the feature library to obtain corresponding features, and combining the corresponding features with data features in various libraries to generate texts;
an algorithm realized by an AI intelligent table generation technology: and sending an instruction through the set parameters, indexing the feature library, acquiring corresponding features, and combining the corresponding features with the data features in various libraries to generate a table.
In conclusion, the invention provides an intelligent and efficient online decoration design and construction management platform, which can rapidly generate a plan scheme diagram, an effect diagram, a deepened construction diagram, a quotation file, a contract file and a construction management plan report through simple parameter setting, picture reference, video reference, text description and voice description of required decoration design effect or decoration requirement and project condition description, realize the monitoring and analysis of labor service, purchase and construction conditions, and provide reference opinions and resource information; the technical problems of low drawing efficiency and irregular drawing standard of the existing indoor design are solved, the implementation efficiency of construction project management is improved, the supervision transparence is greatly improved, the management and big data are fused, normalized, networked and digitized, and meanwhile, a communication interaction channel among designers, managers, consumers, laborers and suppliers is established.
The above description is only for the preferred embodiment of the present invention and should not be construed as limiting the present invention, and any modification, equivalent to replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. An intelligent and efficient online decoration design and construction management method is characterized by comprising the following steps:
1) the method comprises the following steps of designing a plan, collecting original plan data, identifying and analyzing the collected and uploaded original plan data by using an AI technology to generate a graphic image of a brand-new original plan manuscript, marking a part to be modified and describing a modification suggestion, identifying and analyzing the modified data by using the AI technology to generate a graphic image of a preferred original plan, marking the function or the use of each space and describing relevant factors or design elements of each space, identifying and analyzing set plan parameters by using the AI technology to generate a graphic image of the original plan manuscript, marking a part to be modified and describing a modification suggestion, identifying and analyzing the modified data by using the AI technology to generate a graphic image of a preferred plan manuscript;
2) in the effect diagram design stage, relevant factors or design elements are described on the basis of the existing plane scheme diagram, an AI technology is utilized to identify and analyze the set overall effect parameters to generate a graphic image of a three-dimensional effect diagram initial draft, a part needing to be modified is marked and modification opinions are described, and the AI technology is utilized to identify and analyze modified data to generate a graphic image of a preferred three-dimensional effect diagram;
3) in the deepening construction drawing design stage, description is carried out on relevant factors on the basis of the existing plane scheme drawing, a graphic image of a deepening construction drawing initial draft is generated after set data are identified and analyzed by using an AI technology, a part needing to be modified is marked and modification opinions are described, and a graphic image of a preferable deepening construction drawing is generated after the modified data are identified and analyzed by using the AI technology;
4) in the quotation file stage, relevant factors are described on the basis of the existing deepened construction drawing, an AI technology is utilized to identify and analyze set parameters to generate a quotation list initial draft, the contents of a local form are modified, and the AI technology is utilized to identify and analyze the modified parameters to generate a preferred quotation list;
5) in the contract document stage, relevant factors are described on the basis of the existing quotation list table, an AI technology is utilized to identify and analyze set parameters to generate a first draft of a contract document, the contents of a local text are modified, and the AI technology is utilized to identify and analyze the modified parameters to generate an optimal contract document;
6) and in the project construction management file stage, relevant factors are described on the basis of the existing deepened construction drawing and quotation list, an AI technology is used for identifying and analyzing set parameters to generate a project construction management file initial draft, local contents are modified, and the AI technology is used for identifying and analyzing the modified parameters to generate an optimized project construction management file.
2. The intelligent and efficient online decoration design and construction management method of claim 1, wherein the implementation method of the plan view design comprises the following steps:
1) collecting original plan drawing data in 4 collection modes, wherein the collection modes are respectively data collection by photographing hand-drawn plan sketches, existing plan printed drawings or scanning and uploading, or data collection by uploading PDF format drawing electronic documents and CAD standard drawing electronic documents, or data collection by reading a measuring instrument terminal, or data collection by a voice input mode; additionally uploading auxiliary photos or videos;
2) identifying and analyzing original plan data, and identifying and analyzing the uploaded original plan data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
3) generating an original plan drawing, and generating a brand new graphic image according to the extracted data by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color;
4) setting original plan view modification parameters, marking a part to be modified, and then carrying out description modification opinions on the part to be modified, wherein the specific description modes include 3, namely, selecting preset contents to carry out description, or carrying out description through a text input mode, or carrying out description through a voice input mode; finally, confirming the marked part, and additionally uploading an auxiliary photo or video;
5) identifying and analyzing the original plan view modification parameters, and identifying and analyzing the modified data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
6) generating an optimal original plan, and generating a graphic image with modified parameters by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable black-white and color modes;
7) setting parameters of a plan view, marking functions or purposes of each space, and describing relevant factors or design elements of each space, wherein the specific description modes are 3, and are respectively described by selecting preset contents, or described by a text input mode, or described by a voice input mode; finally, confirming the function or use of each space; additionally uploading auxiliary photos or videos;
8) identifying and analyzing the plan view parameters, and identifying and analyzing the set plan view parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
9) generating a plane plan drawing initial draft, and generating a graphic image according to set parameters by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color;
10) setting plan modification parameters, marking a part to be modified, and then carrying out description modification opinions on the part to be modified, wherein the specific description modes include 3, namely, selecting preset contents to carry out description, or carrying out description through a text input mode, or carrying out description through a voice input mode; finally, confirming the marked part; additionally uploading auxiliary photos or videos;
11) identifying and analyzing the plan view modification parameters, and identifying and analyzing the modified data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
12) and generating a preferable plane scheme diagram, and generating the graphic image with the modified parameters by using an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color.
3. The intelligent and efficient online decoration design and construction management method of claim 1, wherein the effect map design implementation method comprises the following steps:
1) setting an integral effect parameter, setting the integral effect parameter on the basis of the existing plane scheme diagram, and setting related factors firstly, wherein the related factors comprise a decoration style, decoration cost and custom factors; describing and explaining the relevant factors or design elements of each space, wherein the specific description modes include 3, namely, the description is carried out by selecting preset contents, or the description is carried out by a text input mode, or the description is carried out by a voice input mode; finally, confirming related factors; additionally uploading auxiliary photos or videos;
2) identifying and analyzing the overall effect parameters, and identifying and analyzing the set overall effect parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
3) generating a three-dimensional effect graph initial draft, and generating a graph image according to set parameters by utilizing an AI intelligent graph image generation technology;
4) setting an overall effect modification parameter, marking a part to be modified, and then carrying out description modification suggestion on the part to be modified, wherein 3 specific description modes are adopted, and are respectively described through selecting preset content, or described through a text input mode, or described through a voice input mode; finally, confirming the marked part; additionally uploading auxiliary photos or videos;
5) identifying and analyzing the overall effect modification parameters, and identifying and analyzing the modified data by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
6) and generating an optimal three-dimensional effect graph, and generating the graph image with the modified parameters by using an AI intelligent graph image generation technology.
4. The intelligent and efficient online decoration design and construction management method according to claim 1, wherein the implementation method of the deepened construction drawing design comprises the following steps:
1) setting deepening construction drawing parameters, setting the deepening construction drawing parameters on the basis of the existing plan drawing, firstly setting relevant factors, wherein the relevant factors comprise drawing styles, drawing specifications and custom factors, and describing the relevant factors, wherein the specific description modes include 3, namely, the description is performed by selecting preset contents, or the description is performed by a text input mode, or the description is performed by a voice input mode; finally, confirming related factors; additionally uploading auxiliary photos or videos;
2) recognizing and analyzing the deepened construction drawing parameters, and recognizing and analyzing the set data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
3) generating a deepened construction drawing initial draft, and generating a graphic image according to set parameters by utilizing an AI intelligent graphic image generation technology;
4) setting a deepened construction drawing modification parameter, marking a part to be modified, and then carrying out description modification opinions on the part to be modified, wherein the specific description modes include 3, namely, selecting preset contents to carry out description, or carrying out description through a text input mode, or carrying out description through a voice input mode; finally, confirming the marked part; additionally uploading auxiliary photos or videos;
5) recognizing and analyzing the modification parameters of the deepened construction drawing, and recognizing and analyzing the modified data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
6) and generating an optimized deepened construction drawing, and generating the graphic image with the modified parameters by utilizing an AI intelligent graphic image generation technology.
5. The intelligent and efficient online decoration design and construction management method of claim 1, wherein the implementation method of the quotation files and the contract files comprises the following steps:
1) setting parameters of a quotation file, firstly setting relevant factors which consist of report styles, price libraries and user-defined factors, and then describing and explaining the relevant factors, wherein 3 specific description modes are provided, and are respectively described and explained by selecting preset contents, or by a text input mode or a voice input mode; finally, confirming related factors; additionally uploading auxiliary photos or videos;
2) identifying and analyzing quotation file parameters, and identifying and analyzing the set parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies on the basis of the existing deepened construction drawing;
3) generating an initial draft of a quotation list table, and performing table generation on set parameters by using an AI intelligent table generation technology;
4) setting quotation file modification parameters, directly modifying local table contents, wherein the specific modification modes include 3, namely modification is carried out by selecting preset contents, or modification is carried out by a character input mode, or description is carried out by a voice input mode, and automatic identification is carried out to convert the quotation file into characters; then confirming the modified part; additionally uploading auxiliary photos or videos;
5) identifying and analyzing quotation file modification parameters, and identifying and analyzing the modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
6) generating an optimal quotation list, and performing table generation on the modified parameters by using an AI intelligent table generation technology;
7) setting contract file parameters, and setting related factors, wherein the related factors comprise file styles and user-defined factors; describing and explaining the related factors, wherein 3 specific description and explanation modes are provided, and are respectively described and explained by selecting preset content, or by a text input mode or a voice input mode; finally, confirming related factors; additionally uploading auxiliary photos or videos;
8) identifying and analyzing contract file parameters, and identifying and analyzing set parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies on the basis of generating an optimal quotation list table;
9) generating a contract file initial draft, and performing text generation on the set parameters by using an AI intelligent text generation technology;
10) setting contract file modification parameters, directly modifying local text contents, wherein the specific modification modes include 3, namely modification is carried out by selecting preset contents, or modification is carried out by a character input mode, or description is carried out by a voice input mode, and automatic identification is carried out to convert the preset contents into characters; then confirming the modified part; additionally uploading auxiliary photos or videos;
11) identifying and analyzing contract file modification parameters, and identifying and analyzing the modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
12) and generating an optimal contract file, and performing text generation on the modified parameters by using an AI intelligent text generation technology.
6. The intelligent and efficient online decoration design and construction management method of claim 1, wherein the implementation method of the project construction management file comprises the following steps:
1) setting relevant parameters of project construction management, and setting relevant factors which consist of file styles and user-defined factors; describing and explaining the related factors, wherein 3 specific description and explanation modes are provided, and are respectively described and explained by selecting preset content, or by a text input mode or a voice input mode; finally, confirming related factors; additionally uploading auxiliary photos or videos;
2) generating a project construction management file initial draft, and on the basis of the existing deepened construction drawing and a quotation list, utilizing AI intelligent voice recognition, AI intelligent image recognition, AI intelligent data analysis, AI intelligent text generation, AI intelligent table generation, AI intelligent graphic image generation and AI intelligent map generation technologies to recognize and analyze set parameters, and generating related data and reports of a text file, a table file, a graphic image and a map;
3) setting project construction management modification parameters, directly modifying local contents, wherein the specific modification modes include 3, namely modification is carried out by selecting preset contents, or modification is carried out by a text input mode, or description is carried out by a voice input mode, and automatic identification is carried out to convert the preset contents into texts; then confirming the modified part; additionally uploading auxiliary photos or videos;
4) identifying and analyzing project construction management modification parameters, and identifying and analyzing the modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
5) generating a construction management file of an optimal project, and generating related data and reports of a text file, a form file, a graphic image and a map for modified parameters by utilizing AI intelligent text generation, AI intelligent form generation, AI intelligent graphic image generation and AI intelligent map generation technologies;
6) the specific content contained in the project construction management file is divided into 6 blocks, namely a construction progress plan report block, a construction process technology analysis report block, a labor personnel management report block, a field process management report block, a material purchase management report block and a reference information providing block; monitoring a construction site through a network video camera terminal, or automatically shooting uploaded pictures and video data through construction site personnel, or recording related progress instructions in a voice input mode; the method comprises the steps of generating a photo or video image, generating a map, generating a text file, a form file, a graphic image and map related data and reports on a construction site in real time by utilizing AI intelligent text generation, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies, and generating a text file, a form file, a graphic image and a map related data and report on the construction site in real time by utilizing AI intelligent text generation, AI intelligent form generation, AI intelligent graphic image generation and AI intelligent map generation technologies, so that reference opinion and resource information are provided, and instant communication, audio recording and video recording are added.
7. The utility model provides an online fitment design of intelligence efficient and construction management system which characterized in that includes following functional module:
1) the starting module selects a user type, selects one of designer, decoration company, supplier, laborer and tourist user type groups, divides functions and authorities according to the selected user type, registers a user account to become a member, and starts various functions and authorities after logging in the account;
2) the data acquisition module comprises 4 acquisition modes, namely acquiring data by photographing hand-drawn plane sketches, existing plane printed drawings or scanning and uploading, or acquiring data by uploading PDF format drawing electronic documents and CAD standard drawing electronic documents, or acquiring data by reading a measuring instrument terminal, or acquiring data by a voice input mode; adding an auxiliary photo or video uploading function;
3) the module for recognizing and analyzing the original plan data recognizes and analyzes the uploaded original plan data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
4) generating an original plan drawing module, generating a brand new graphic image according to the extracted data by utilizing an AI intelligent graphic image generation technology, wherein the generated graphic image has two selectable modes of black and white and color;
5) setting an original plan view modification parameter module, marking a part to be modified, and then carrying out description modification suggestion on the part to be modified, wherein the specific description modes comprise 3, and are respectively described by selecting preset contents, or described by a text input mode, or described by a voice input mode; finally, confirming the marked part and adding an auxiliary photo or video uploading function;
6) the module for recognizing and analyzing the modification parameters of the original plan view recognizes and analyzes the modified data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
7) the module for generating the optimal original plan view generates the graphic image with the modified parameters by using an AI intelligent graphic image generation technology, and the generated graphic image has two selectable modes of black and white and color;
8) setting a plan view parameter module, marking the function or use of each space, and describing and explaining the relevant factors or design elements of each space, wherein the specific description modes are 3, and are respectively described and explained by selecting preset contents, or described and explained by a text input mode, or described and explained by a voice input mode; finally, confirming the function or use of each space; adding an auxiliary photo or video uploading function;
9) the module for recognizing and analyzing the plan view parameter utilizes AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technology to recognize and analyze the set plan view parameter;
10) the generating plane plan drawing initial draft module generates a graphic image according to set parameters by utilizing an AI intelligent graphic image generating technology, and the generated graphic image has two selectable modes of black and white and color;
11) a plan modification parameter module is set, a part needing to be modified is marked, and then description modification opinions are carried out on the part needing to be modified, wherein the specific description modes include 3, namely, description is carried out by selecting preset contents, or description is carried out by a text input mode, or description is carried out by a voice input mode; finally, confirming the marked part; adding an auxiliary photo or video uploading function;
12) the module for recognizing and analyzing the plan view modification parameter identifies and analyzes the modified data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
13) the module for generating the optimized plan view generates the graphic image with the modified parameters by using an AI intelligent graphic image generation technology, and the generated graphic image has two selectable modes of black and white and color;
14) setting an integral effect parameter module, and setting related factors, wherein the related factors comprise a decoration style, decoration cost and user-defined factors; describing and explaining the relevant factors or design elements of each space, wherein the specific description modes include 3, namely, the description is carried out by selecting preset contents, or the description is carried out by a text input mode, or the description is carried out by a voice input mode; finally, confirming related factors; adding an auxiliary photo or video uploading function;
15) the module for recognizing and analyzing the overall effect parameters identifies and analyzes the set overall effect parameters by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
16) generating a three-dimensional effect graph initial draft module, and generating a graph image according to set parameters by utilizing an AI intelligent graph image generation technology;
17) setting an overall effect modification parameter module, marking a part to be modified, and then carrying out description modification suggestion on the part to be modified, wherein 3 specific description modes are provided, and are respectively described by selecting preset contents, or described by a text input mode, or described by a voice input mode; finally, confirming the marked part; adding an auxiliary photo or video uploading function;
18) the module for recognizing and analyzing the overall effect modification parameter identifies and analyzes the modified data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
19) the module for generating the optimized three-dimensional effect graph generates the graph image with modified parameters by using an AI intelligent graph image generation technology;
20) the method comprises the steps that a deepening construction drawing parameter setting module sets deepening construction drawing parameters on the basis of generating an optimized plan scheme drawing, relevant factors are set firstly, the relevant factors consist of drawing styles, drawing specifications and custom factors, and then description is conducted on the relevant factors, wherein the specific description modes include 3, namely, the description is conducted through selecting preset content, or through a text input mode, or through a voice input mode; finally, confirming related factors; adding an auxiliary photo or video uploading function;
21) the module for recognizing and analyzing the deepened construction drawing parameters identifies and analyzes the set data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
22) generating a deepened construction drawing initial draft module, and generating a graphic image according to set parameters by utilizing an AI intelligent graphic image generation technology;
23) setting a deepened construction drawing modification parameter module, marking a part to be modified, and then performing description modification suggestion on the part to be modified, wherein 3 specific description modes are provided, and are respectively performed by selecting preset contents, or performing description through a text input mode, or performing description through a voice input mode; finally, confirming the marked part; adding an auxiliary photo or video uploading function;
24) the module for recognizing and analyzing the modified parameters of the deepened construction drawing identifies and analyzes the modified data by utilizing AI intelligent character recognition, AI intelligent voice recognition, AI intelligent image recognition and AI intelligent data analysis technologies;
25) generating an optimized deepened construction drawing module, and generating a graphic image with modified parameters by using an AI intelligent graphic image generation technology;
26) a module for setting parameters of a quotation file, which sets relevant factors comprising report style, price library and custom factors, and describes and explains the relevant factors, wherein the specific description modes are 3, and are respectively described and explained by selecting preset contents, or by a text input mode, or by a voice input mode; finally, confirming related factors; adding an auxiliary photo or video uploading function;
27) the quotation file parameter identification and analysis module is used for identifying and analyzing set parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies on the basis of generating an optimized deepened construction drawing;
28) generating a quotation list initial draft module, and generating a list of the set parameters by using an AI intelligent list generation technology;
29) a quotation file modification parameter setting module directly modifies local table contents, wherein the specific modification modes include 3, namely modification is carried out by selecting preset contents, or modification is carried out by a character input mode, or description is carried out by a voice input mode, and automatic identification is carried out to convert the preset contents into characters; then confirming the modified part; adding an auxiliary photo or video uploading function;
30) the quotation file modification parameter identification and analysis module is used for identifying and analyzing modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
31) generating an optimal quotation list module, and generating a list of the modified parameters by using an AI intelligent list generation technology;
32) a contract file parameter setting module, which sets relevant factors firstly, wherein the relevant factors comprise file styles and custom factors; describing and explaining the related factors, wherein 3 specific description and explanation modes are provided, and are respectively described and explained by selecting preset content, or by a text input mode or a voice input mode; finally, confirming related factors; adding an auxiliary photo or video uploading function;
33) the contract document parameter identification and analysis module is used for identifying and analyzing the set parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies on the basis of generating an optimal quotation list table;
34) a contract file initial draft generation module which utilizes AI intelligent text generation technology to generate text for the set parameters;
35) a contract file modification parameter setting module which directly modifies local text contents, wherein the specific modification modes include 3, namely modification is carried out by selecting preset contents, or modification is carried out by a character input mode, or description is carried out by a voice input mode, and automatic identification is carried out to convert the preset contents into characters; then confirming the modified part; adding an auxiliary photo or video uploading function;
36) the contract file modification parameter identification and analysis module is used for identifying and analyzing modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
37) the preferred contract file generation module generates texts for the modified parameters by using an AI intelligent text generation technology;
38) setting a project construction management related parameter module, and setting related factors, wherein the related factors comprise file styles and user-defined factors; describing and explaining the related factors, wherein 3 specific description and explanation modes are provided, and are respectively described and explained by selecting preset content, or by a text input mode or a voice input mode; finally, confirming related factors; adding an auxiliary photo or video uploading function;
39) a project construction management file initial draft generation module which utilizes AI intelligent voice recognition, AI intelligent image recognition, AI intelligent data analysis, AI intelligent text generation, AI intelligent table generation, AI intelligent graphic image generation and AI intelligent map generation technologies to recognize and analyze set parameters on the basis of generating an optimized deepened construction drawing and an optimized quotation list table so as to generate related data and reports of a text file, a table file, a graphic image and a map;
40) a project construction management modification parameter setting module directly modifies local contents, wherein the specific modification modes include 3, namely modification is carried out by selecting preset contents, or modification is carried out by a text input mode, or description is carried out by a voice input mode, and automatic identification is carried out to convert the preset contents into texts; then confirming the modified part; adding an auxiliary photo or video uploading function;
41) the identification and analysis project construction management modification parameter module identifies and analyzes modified parameters by utilizing AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies;
42) the module for generating the construction management file of the preferred project utilizes AI intelligent text generation, AI intelligent table generation, AI intelligent graphic image generation and AI intelligent map generation technologies to generate the text file, the table file, the graphic image and the relevant data and report of the map of the modified parameters; the specific content contained in the project construction management file is divided into 6 blocks, namely a construction progress plan report block, a construction process technology analysis report block, a labor personnel management report block, a field process management report block, a material purchase management report block and a reference information providing block; monitoring a construction site through a network video camera terminal, or automatically shooting uploaded pictures and video data through construction site personnel, or recording related progress instructions in a voice input mode; therefore, the uploaded photo or video data and voice data are identified and analyzed by using AI intelligent character identification, AI intelligent voice identification, AI intelligent image identification and AI intelligent data analysis technologies, and the relevant data and report of the text file, the table file, the graphic image and the map are generated in real time by using AI intelligent text generation, AI intelligent table generation, AI intelligent graphic image generation and AI intelligent map generation technologies to the construction site situation, so that reference opinion and resource information are provided, and the functions of instant communication, audio recording and video recording are added.
8. An intelligent and efficient on-line decoration design and construction management system as claimed in claim 7, wherein the various AI intelligence techniques are implemented by the following algorithms:
the algorithm realized by the AI intelligent character recognition technology is as follows: matching preset or input digital and character keyword characteristics with sample characteristics in a database, and accurately positioning an instruction corresponding to a database sample so as to obtain a related identification result and automatically sending an instruction modification parameter;
an algorithm realized by the AI intelligent voice recognition technology: matching the sound keyword characteristics in the sound recording with the sample characteristics in the database to accurately locate the instruction corresponding to the database sample, thereby obtaining the relevant identification result and automatically sending the instruction modification parameters;
an algorithm realized by an AI intelligent image recognition technology: the method comprises the steps that the corresponding instruction of a database sample is accurately positioned by matching line, number, character, color or shape features in a picture with sample features in a database, so that a relevant recognition result is obtained, and an instruction modification parameter is automatically sent;
an algorithm realized by an AI intelligent data analysis technology: sending an instruction through set parameters, and analyzing and calculating related data, thereby realizing the functions of automatic classification, automatic grouping, automatic numbering, automatic deep learning and automatic data updating;
an algorithm realized by an AI intelligent graphic image generation technology: sending an instruction through the set parameters, indexing the feature library to obtain corresponding features, and combining the corresponding features with data features in various libraries to generate a graphic image;
an algorithm realized by an AI intelligent text generation technology: sending an instruction through the set parameters, indexing the feature library to obtain corresponding features, and combining the corresponding features with data features in various libraries to generate texts;
an algorithm realized by an AI intelligent table generation technology: and sending an instruction through the set parameters, indexing the feature library, acquiring corresponding features, and combining the corresponding features with the data features in various libraries to generate a table.
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