CN116663130B - Multidimensional data model information management system and method based on Internet of things - Google Patents

Multidimensional data model information management system and method based on Internet of things Download PDF

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CN116663130B
CN116663130B CN202310952825.2A CN202310952825A CN116663130B CN 116663130 B CN116663130 B CN 116663130B CN 202310952825 A CN202310952825 A CN 202310952825A CN 116663130 B CN116663130 B CN 116663130B
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template
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repair
decoration
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CN116663130A (en
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洪锡场
杜国棚
崔宁
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Shenzhen Dasheng Construction Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/16—Customisation or personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/20—Configuration CAD, e.g. designing by assembling or positioning modules selected from libraries of predesigned modules
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention discloses a multidimensional data model information management system and method based on the Internet of things, and belongs to the technical field of data analysis and processing. Dividing the space region of the three-dimensional graph, and selecting by a user according to the space region and the personalized requirement; comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template; analyzing the influence relation between the decoration design templates, and calculating the influence degree of the decoration design templates; calculating a modification difficulty value of the decoration design template according to the modification value and the influence degree, and generating a final design scheme; and further, starting from the personalized requirements of users, combining different space regions, providing accurate requirement selection, carrying out microcosmic analysis on a plurality of regions on the whole layout, and carrying out overall processing on the inner and outer parts of the data, thereby analyzing the scheme modification difficulty while meeting the personalized requirements, and further quickly forming scheme decisions satisfied by the users.

Description

Multidimensional data model information management system and method based on Internet of things
Technical Field
The invention relates to the technical field of data analysis and processing, in particular to a multidimensional data model information management system and method based on the Internet of things.
Background
Along with the continuous rising of the material and spirit demands of people, various personalized demands are presented in the process of indoor decoration design, through combining with the actual demands of users, the homeowner is required to communicate in detail after the design is completed, a final design template is determined, technical delivery is required to be carried out with related responsible persons before construction, and the requirements of users are easily caused to generate larger deviation according to the actual construction process and design scheme, and meanwhile, a great amount of time is easily wasted in the process of repeatedly communicating with the users, so that a scheme close to the demands of the users is difficult to be formed quickly;
in the patent application publication date 2020.10.16, application number 202010670511.X, named as an interior decoration design device and method, the method comprises the following steps: s1, a live-action acquisition module acquires environmental parameters inside and outside a room through an indoor acquisition unit and an outdoor acquisition unit and transmits the environmental parameters to a data processing module; s2, the data processing module processes the environmental data and transmits the environmental data to the three-dimensional model module; s3, building an indoor room frame through a frame building module in the three-dimensional model module, modifying and adjusting the built model through a model adjusting module by a furniture self-defining module and a furniture adding unit, and buffering and storing the adjusted model by a model buffering module; s4, a door and window layout unit and a pipeline layout unit are used for setting doors and windows and pipelines on the model built by the three-dimensional model module; s5, the terminal equipment checks the built model, and the model is uploaded to a cloud server and stored in a database unit; the modification frequency of the scheme in the decoration process can be effectively reduced;
However, in the above patent, the following problems still remain: the essential reason for modification of the decoration scheme is that the personalized requirements of the users exist, and the patent scheme is not humanized enough, meanwhile, the essential reason for the increase of the modification frequency is that the design is not carried out according to the personalized requirements of the users, the personalized requirements of the users are not analyzed by combining the actual conditions of the house areas, and the requirement decision is formed quickly.
Disclosure of Invention
The invention aims to provide a multidimensional data model information management system and method based on the Internet of things, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
a multidimensional data model information management system based on the Internet of things comprises: the system comprises a multidimensional data model module, a design comparison module, a correlation analysis module and a demand decision module;
the multidimensional data model module generates a three-dimensional graph of the building space according to the construction parameters and the constituent elements of the building space, and performs space region division on the three-dimensional graph; the user selects a decoration design template from a decoration design template library according to the space region and the personalized requirements;
The design comparison module is used for obtaining design parameters of the decoration design template and generating a decoration design template parameter set; according to the construction parameters of the building space, acquiring actual design parameters of the space region, comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template;
the association analysis module is used for carrying out association analysis on the decoration design templates of different space areas, analyzing the influence relation among the decoration design templates and generating an influence relation set; according to the influence relation set, analyzing and calculating influence degree of the decoration design template;
the demand decision module analyzes and calculates the modification difficulty value of the decoration design template according to the modification value and the influence; screening the personalized requirements according to the modification difficulty value, selecting a decoration design template corresponding to the minimum modification difficulty value, generating a final design scheme, and sending the final design scheme to a user.
Further, the multidimensional data model module further comprises a region dividing unit and a personalized demand unit;
the regional division unit is used for acquiring all construction parameters of the building space, and generating a three-dimensional graph in the building space by combining all construction parameters of the building space through three-dimensional graph design software; dividing the space region of the three-dimensional graph according to the internal constituent elements of the building space to obtain K space regions, uniformly numbering the space regions, and marking any space region as i;
The personalized demand unit is used for enabling a user to select a decoration design template of each space area from a decoration design template library according to K space areas and personalized demands, and all the inside constituent element types of the building space and all the decoration design templates corresponding to each constituent element type are stored in the decoration design template library; and (3) summarizing all fitment design templates of any space region i, generating a space region personalized demand template set, and recording as Ii= { Si1, si2, & gt, sin }, wherein Si1, si2, & gt, sin respectively represents 1,2, & gt, n fitment design templates selected by a user according to personalized demands for any space region i.
Further, the design comparison module further comprises a design parameter forming unit and a modification degree calculating unit;
the design parameter forming unit is used for obtaining any one of the repair design templates in the personalized demand template set of the space region, identifying the design parameter of any one of the repair design templates, and generating a repair design template parameter set, which is marked as six|Ii= { TP1, TP2, & gt and TPm }, wherein TP1, TP2, & gt and TPm respectively represent the 1 st, 2 nd, m design parameters of any one of the repair design templates, six E Ii and x represents the number of the repair design template;
The modification degree calculating unit identifies an actual design parameter of any one space region i according to a building space construction parameter of any one space region i, and generates an actual design parameter set, which is denoted as pii= { PTP1, PTP2, & gt, PTPm }, wherein PTP1, PTP2, & gt, PTPm respectively represent 1 st, 2 nd, & gt, m actual design parameters of any one space region i, and PTPm and TPm are corresponding relations; comparing any one of the repair design template parameter sets with the actual design parameter set according to the actual design parameter set, and calculating the modification degree of any one of the repair design templates, wherein the specific calculation formula is as follows:
MV(Six)=1-∑y=1mR(TPy)/m
R(TPy)=lg{[19+NUM(TPy，PIi)]/[NUM(TPy，PIi)+1]}
wherein MV (Six) represents the modification degree of any one of the repair design templates Six, R (TPy) represents the application label value of any one of the design parameters TPy in the actual design parameter set PIi in the repair design template parameter set Six|Ii, NUM (TPy, PIi) represents the number of the contrast coincidence of any one of the design parameters TPy in the actual design parameter set, and TPy E Six|Ii, y represents the design parameter number;
if R (TPy) =1, it indicates that the application of any one of the design parameters TPy in the actual design parameter set is successful; if R (TPy) +.1, it indicates that the application of any one of the design parameters TPy to the actual design parameter set is unsuccessful, and let R (TPy) =0.
Further, the association analysis module further comprises an influence relation analysis unit and an influence degree calculation unit;
the influence relation analysis unit is configured to obtain any one of a spatial region personalized demand template set Ij and a spatial region personalized demand template set Ij generated by any other spatial region j, and if a decoration design template Six in one spatial region i is modified, the decoration design template Sjw in the other spatial region j is modified, which indicates that the decoration design template Six affects the decoration design template Sjw, i not equal to j, i, j not equal to K; counting all fitment design templates affected by the fitment design templates Six, generating an influence relation set, and marking as ES (Six);
the influence degree calculating unit calculates influence degree of any repair design template according to the influence relation set, and a specific calculation formula is as follows:
ID(Six)=∑j=1K∑w=1NUF[Six∈ES(Sjw)]/∑i=1K∑j=1K∑w=1NUF[Six∈ES(Sjw)]
wherein ID (Six) represents the influence degree of any one repair design template Six, NU represents the number of repair design templates contained in the space region personalized demand template set Ij, ES (Sjw) represents the set of influence relationships generated correspondingly by any one repair design template Sjw, if Six e ES (Sjw) exists, F [ Six e ES (Sjw) ] is made to be=1, otherwise F [ Six e ES (Sjw) ] is made to be=0.
Further, the demand decision module further comprises a modification difficulty value calculation unit and an internet of things transmission unit;
the modification difficulty value calculating unit calculates a modification difficulty value DV (Six) =MV (Six) x ID (Six) of any one repair design template according to the modification degree of any one repair design template and the influence degree of any one repair design template, and obtains the modification difficulty value of each repair design template in the space region personalized demand template set Ii, which is marked as { DV (Si 1), DV (Si 2),. The number of the repair design templates, DV (Sin) };
the internet of things transmission unit is used for selecting a decoration design template corresponding to a minimum modification difficulty value Min { DV (Si 1), DV (Si 2),. The decoration design template corresponding to DV (Sin) } as a final design scheme of any one space region index i, and sending the final design scheme to a user for confirmation.
A multidimensional data model information management method based on the Internet of things comprises the following steps:
step S100: generating a three-dimensional figure of the building space according to the construction parameters and the constituent elements of the building space, and dividing the space region of the three-dimensional figure; the user selects a decoration design template from a decoration design template library according to the space region and the personalized requirements;
Step S200: obtaining design parameters of a decoration design template, and generating a decoration design template parameter set; according to the construction parameters of the building space, acquiring actual design parameters of the space region, comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template;
step S300: performing association analysis on decoration design templates of different space areas, analyzing influence relations among the decoration design templates, and generating an influence relation set; according to the influence relation set, analyzing and calculating influence degree of the decoration design template;
step S400: according to the modification value and the influence degree, analyzing and calculating a modification difficulty value of the decoration design template; screening the personalized requirements according to the modification difficulty value, selecting a decoration design template corresponding to the minimum modification difficulty value, generating a final design scheme, and sending the final design scheme to a user.
Further, the specific implementation process of the step S100 includes:
step S101: acquiring all construction parameters of a building space, and generating a three-dimensional graph in the building space by combining all construction parameters of the building space through three-dimensional graph design software; dividing the space region of the three-dimensional graph according to the internal constituent elements of the building space to obtain K space regions, uniformly numbering the space regions, and marking any space region as i;
Step S102: the user selects a decoration design template of each space region from a decoration design template library according to K space regions and personalized requirements, wherein all the types of the constituent elements in the building space and all the decoration design templates corresponding to each type of the constituent elements are stored in the decoration design template library; the method comprises the steps of (1) integrating all fitment design templates of any space region i, generating a space region personalized demand template set, and recording as Ii= { Si1, si2, & gt, sin }, wherein Si1, si2, & gt, sin respectively represents 1,2, & gt, n fitment design templates selected by a user according to personalized demands for any space region i;
according to the method, the constituent elements of the house are pointed to be combined with the lines, the points are combined with the surfaces, the lines are combined with the lines, and the lines are combined with the surfaces, so that different construction parameters exist, and different space areas such as a cooking bench area, a sofa area, a television wall area, a balcony area and the like are formed; aiming at different areas, users often have different personalized demands, and simultaneously, each area also has a plurality of decoration design templates for the users to select; further, space region division is carried out on the three-dimensional graph, and a space region personalized demand template set is generated;
Further, the specific implementation process of the step S200 includes:
step S201: acquiring any one repair design template in the space region personalized demand template set, identifying the design parameter of any repair design template, and generating a decoration design template parameter set, wherein the decoration design template parameter set is recorded as Six|Ii= { TP1, TP2, and TPm }, wherein TP1, TP2, and TPm respectively represent the 1 st, 2 nd, and the number of the repair design template, m design parameters, six E Ii, and x represents the decoration design template number;
step S202: identifying actual design parameters of any one space region i according to building space construction parameters of any one space region i, and generating an actual design parameter set, wherein the actual design parameters are recorded as pii= { PTP1, PTP2, & gt, PTP m }, wherein PTP1, PTP2, & gt, PTP m respectively represent 1 st, 2 nd and m actual design parameters of any one space region i, and the PTPm and the TPm are in a corresponding relation; comparing any one of the repair design template parameter sets with the actual design parameter set according to the actual design parameter set, and calculating the modification degree of any one of the repair design templates, wherein the specific calculation formula is as follows:
MV(Six)=1-∑y=1mR(TPy)/m
R(TPy)=lg{[19+NUM(TPy，PIi)]/[NUM(TPy，PIi)+1]}
wherein MV (Six) represents the modification degree of any one of the repair design templates Six, R (TPy) represents the application label value of any one of the design parameters TPy in the actual design parameter set PIi in the repair design template parameter set Six|Ii, NUM (TPy, PIi) represents the number of the contrast coincidence of any one of the design parameters TPy in the actual design parameter set, and TPy E Six|Ii, y represents the design parameter number;
If R (TPy) =1, it indicates that the application of any one of the design parameters TPy in the actual design parameter set is successful; if R (TPy) +.1, then it indicates that the application of any one of the design parameters TPy in the actual design parameter set is unsuccessful, and let R (TPy) =0;
according to the method, as the design parameters of the decoration design template are often different from the design parameters of the actual space area of the user, the design parameters of the decoration design template are compared with the actual design parameters of the space area, the application coincidence condition of the template is analyzed, the application label value of each design parameter and the modification degree of the decoration design template are calculated, and the larger the modification degree is, the worse the application coincidence of the template is indicated;
further, the implementation process of the step S300 includes:
step S301: acquiring any one repair design template Sjw in a space region personalized demand template set Ij and a space region personalized demand template set Ij correspondingly generated by any other space region j, wherein if the repair design template Six in one space region i is modified, the repair design template Sjw in the other space region j is modified, the influence of the repair design template Six on the repair design template Sjw is indicated, i is not equal to j, i and j is not more than K; counting all fitment design templates affected by the fitment design templates Six, generating an influence relation set, and marking as ES (Six);
Step S302: according to the influence relation set, the influence degree of any repair design template is calculated, and the specific calculation formula is as follows:
ID(Six)=∑j=1K∑w=1NUF[Six∈ES(Sjw)]/∑i=1K∑j=1K∑w=1NUF[Six∈ES(Sjw)]
wherein ID (Six) represents the influence degree of any one repair design template Six, NU represents the number of repair design templates contained in the space region personalized demand template set Ij, ES (Sjw) represents the influence relation set correspondingly generated by any one repair design template Sjw, if Six e ES (Sjw) exists, F [ Six e ES (Sjw) ] is made to be=1, otherwise F [ Six e ES (Sjw) ] is made to be=0;
according to the method, the different decoration design templates need to have cooperativity, and further, when one decoration design template is modified, the other decoration design template needs to be adjusted, so that the whole scheme needs to be adjusted repeatedly; by searching the influence relation between the decoration design templates, the affected decoration design templates can be rapidly positioned, the influence degree of the decoration design templates is calculated, and the larger the influence degree is, the more unreasonable the application of the decoration design templates is;
further, the specific implementation process of the step S400 includes:
step S401: calculating a modification difficulty value DV (Six) =MV (Six) x ID (Six) of any repair design template according to the modification degree of any repair design template and the influence degree of any repair design template, and obtaining the modification difficulty value of each repair design template in the space region personalized demand template set Ii, wherein the modification difficulty value is recorded as { DV (Si 1), DV (Si 2),. The number of the repair design templates, DV (Sin) };
Step S402: selecting a decoration design template corresponding to a modification difficulty minimum value Min { DV (Si 1), DV (Si 2),. The number of times, DV (Sin) } as a final design scheme of any space region index i, and sending the final design scheme to a user for confirmation;
according to the method, the modification degree of the decoration design template reflects the internal problem condition of the template, the influence degree of the decoration design template reflects the external problem condition of the template, the modification difficulty value of the decoration design template is analyzed and calculated from the inner dimension and the outer dimension, the larger the difficulty value is, the larger the influence degree of the template on the whole scheme is, and further a more suitable scheme is found in the personalized requirements of users.
Compared with the prior art, the invention has the following beneficial effects: according to the multidimensional data model information management system and method based on the Internet of things, the three-dimensional graph is divided into space regions, and a user selects according to the space regions and personalized requirements; comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template; analyzing the influence relation between the decoration design templates, and calculating the influence degree of the decoration design templates; calculating a modification difficulty value of the decoration design template according to the modification value and the influence degree, and generating a final design scheme; and further, starting from the personalized requirements of users, combining different space regions, providing accurate requirement selection, carrying out microcosmic analysis on a plurality of regions on the whole layout, and carrying out overall processing on the inner and outer parts of the data, thereby analyzing the scheme modification difficulty while meeting the personalized requirements, and further quickly forming scheme decisions satisfied by the users.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a multidimensional data model information management system based on the Internet of things;
fig. 2 is a schematic step diagram of a multidimensional data model information management method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions:
referring to fig. 1, in a first embodiment: provided is a multidimensional data model information management system based on the Internet of things, the system comprising: the system comprises a multidimensional data model module, a design comparison module, a correlation analysis module and a demand decision module;
The multidimensional data model module generates a three-dimensional graph of the building space according to the construction parameters and the constituent elements of the building space, and performs space region division on the three-dimensional graph; the user selects a decoration design template from a decoration design template library according to the space region and the personalized requirements;
the multi-dimensional data model module further comprises a region dividing unit and a personalized demand unit;
the regional division unit is used for acquiring all construction parameters of the building space, and generating a three-dimensional graph in the building space by combining all construction parameters of the building space through three-dimensional graph design software; dividing the space region of the three-dimensional graph according to the internal constituent elements of the building space to obtain K space regions, uniformly numbering the space regions, and marking any space region as i;
the individualized demand unit is used for enabling a user to select a decoration design template of each space area from a decoration design template library according to K space areas and individualized demands, and all the inside constituent element types of the building space and all the decoration design templates corresponding to each constituent element type are stored in the decoration design template library; the method comprises the steps of (1) integrating all fitment design templates of any space region i, generating a space region personalized demand template set, and recording as Ii= { Si1, si2, & gt, sin }, wherein Si1, si2, & gt, sin respectively represents 1,2, & gt, n fitment design templates selected by a user according to personalized demands for any space region i;
The design comparison module is used for obtaining design parameters of the decoration design template and generating a decoration design template parameter set; according to the construction parameters of the building space, acquiring actual design parameters of the space region, comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template;
the design comparison module further comprises a design parameter forming unit and a modification degree calculating unit;
the design parameter forming unit is used for acquiring any one of the repair design templates in the space region personalized demand template set, identifying the design parameters of any one of the repair design templates, and generating a decoration design template parameter set, which is recorded as six|Ii= { TP1, TP2, & gt and TPm }, wherein TP1, TP2 and the TPm respectively represent the 1 st, 2 nd, the 4 nd, m design parameters of any one of the repair design templates, six epsilon Ii and x represents the decoration design template number;
the modification degree calculation unit identifies the actual design parameters of any one space region i according to the building space construction parameters of any one space region i, and generates an actual design parameter set, which is recorded as pii= { PTP1, PTP2, & gt, and PTPm }, wherein PTP1, PTP2, & gt, and PTPm respectively represent the 1 st, 2 nd, and the 2 nd, m actual design parameters of any one space region i, and PTPm and TPm are corresponding relations; comparing any one of the repair design template parameter sets with the actual design parameter set according to the actual design parameter set, and calculating the modification degree of any one of the repair design templates, wherein the specific calculation formula is as follows:
MV(Six)=1-∑y=1mR(TPy)/m
R(TPy)=lg{[19+NUM(TPy，PIi)]/[NUM(TPy，PIi)+1]}
Wherein MV (Six) represents the modification degree of any one of the repair design templates Six, R (TPy) represents the application label value of any one of the design parameters TPy in the actual design parameter set PIi in the repair design template parameter set Six|Ii, NUM (TPy, PIi) represents the number of the contrast coincidence of any one of the design parameters TPy in the actual design parameter set, and TPy E Six|Ii, y represents the design parameter number;
if R (TPy) =1, it indicates that the application of any one of the design parameters TPy in the actual design parameter set is successful; if R (TPy) +.1, then it indicates that the application of any one of the design parameters TPy in the actual design parameter set is unsuccessful, and let R (TPy) =0;
the association analysis module is used for carrying out association analysis on the decoration design templates of different space areas, analyzing the influence relation among the decoration design templates and generating an influence relation set; according to the influence relation set, analyzing and calculating influence degree of the decoration design template;
the association analysis module further comprises an influence relation analysis unit and an influence degree calculation unit;
an influence relation analysis unit, configured to obtain any one of a spatial region personalized demand template set Ij and a spatial region personalized demand template set Ij generated by any other spatial region j, and if a decoration design template Six in one spatial region i is modified, and then a decoration design template Sjw in the other spatial region j is modified, it indicates that the decoration design template Six affects a decoration design template Sjw, i is not equal to j, i, j is not equal to K; counting all fitment design templates affected by the fitment design templates Six, generating an influence relation set, and marking as ES (Six);
The influence degree calculating unit calculates the influence degree of any repair design template according to the influence relation set, and the specific calculation formula is as follows:
ID(Six)=∑j=1K∑w=1NUF[Six∈ES(Sjw)]/∑i=1K∑j=1K∑w=1NUF[Six∈ES(Sjw)]
wherein ID (Six) represents the influence degree of any one repair design template Six, NU represents the number of repair design templates contained in the space region personalized demand template set Ij, ES (Sjw) represents the influence relation set correspondingly generated by any one repair design template Sjw, if Six e ES (Sjw) exists, F [ Six e ES (Sjw) ] is made to be=1, otherwise F [ Six e ES (Sjw) ] is made to be=0;
the demand decision module analyzes and calculates the modification difficulty value of the decoration design template according to the modification value and the influence degree; screening the personalized requirements according to the modification difficulty value, selecting a decoration design template corresponding to the minimum modification difficulty value, generating a final design scheme, and sending the final design scheme to a user;
the demand decision module further comprises a modification difficulty value calculation unit and an internet of things transmission unit;
the modification difficulty value calculating unit calculates modification difficulty values DV (Six) =MV (Six) x ID (Six) of any one repair design template according to the modification degree of any one repair design template and the influence degree of any one repair design template, and obtains modification difficulty values of each repair design template in the space region personalized demand template set Ii, which are marked as { DV (Si 1), DV (Si 2),. The number of the repair design templates, DV (Sin) };
The internet of things transmission unit is used for selecting a decoration design template corresponding to a modification difficulty minimum value Min { DV (Si 1), DV (Si 2),. The decoration design template corresponding to DV (Sin) } as a final design scheme of any one space region index i, and sending the final design scheme to a user for confirmation.
Referring to fig. 2, in the second embodiment: the multi-dimensional data model information management method based on the Internet of things comprises the following steps:
generating a three-dimensional figure of the building space according to the construction parameters and the constituent elements of the building space, and dividing the space region of the three-dimensional figure; the user selects a decoration design template from a decoration design template library according to the space region and the personalized requirements;
acquiring all construction parameters of a building space, and generating a three-dimensional graph in the building space by combining all construction parameters of the building space through three-dimensional graph design software; dividing the space region of the three-dimensional graph according to the internal constituent elements of the building space to obtain K space regions, uniformly numbering the space regions, and marking any space region as i;
according to K space areas and the personalized requirements, a user selects a decoration design template of each space area from a decoration design template library, and all the internal component element types of the building space and all the decoration design templates corresponding to each component element type are stored in the decoration design template library; and (3) summarizing all fitment design templates of any space region i, generating a space region personalized demand template set, and recording as Ii= { Si1, si2, & gt, sin }, wherein Si1, si2, & gt, sin respectively represents 1,2, & gt, n fitment design templates selected by a user according to personalized demands for any space region i.
Obtaining design parameters of a decoration design template, and generating a decoration design template parameter set; according to the construction parameters of the building space, acquiring actual design parameters of the space region, comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template;
acquiring any one repair design template in the space region personalized demand template set, identifying the design parameter of any repair design template, and generating a decoration design template parameter set, wherein the decoration design template parameter set is recorded as Six|Ii= { TP1, TP2, and TPm }, wherein TP1, TP2, and TPm respectively represent the 1 st, 2 nd, and the number of the repair design template, m design parameters, six E Ii, and x represents the decoration design template number;
identifying actual design parameters of any one space region i according to building space construction parameters of any one space region i, and generating an actual design parameter set, wherein the actual design parameters are recorded as pii= { PTP1, PTP2, & gt, PTP m }, wherein PTP1, PTP2, & gt, PTP m respectively represent 1 st, 2 nd and m actual design parameters of any one space region i, and the PTPm and the TPm are in a corresponding relation; comparing any one of the repair design template parameter sets with the actual design parameter set according to the actual design parameter set, and calculating the modification degree of any one of the repair design templates, wherein the specific calculation formula is as follows:
MV(Six)=1-∑y=1mR(TPy)/m
R(TPy)=lg{[19+NUM(TPy，PIi)]/[NUM(TPy，PIi)+1]}
Wherein MV (Six) represents the modification degree of any one of the repair design templates Six, R (TPy) represents the application label value of any one of the design parameters TPy in the actual design parameter set PIi in the repair design template parameter set Six|Ii, NUM (TPy, PIi) represents the number of the contrast coincidence of any one of the design parameters TPy in the actual design parameter set, and TPy E Six|Ii, y represents the design parameter number;
if R (TPy) =1, it indicates that the application of any one of the design parameters TPy in the actual design parameter set is successful; if R (TPy) +.1, then it indicates that the application of any one of the design parameters TPy in the actual design parameter set is unsuccessful, and let R (TPy) =0;
for example, the interior of a house of a user is divided into 10 space areas, wherein the user performs personalized decoration template selection on one space area to obtain 3 decoration design templates, I2= { S21, S22, S23}, design parameters corresponding to the decoration design templates S21 are obtained, S21|i2= { TP1, TP2, TP3, TP4}, actual design parameters of the space area 2 are obtained, I2= { PTP1, PTP2, PTP3, PTP4}, and by comparison, it is known that TP1 = PTP1, TP2 = PTP2, TP3 = PTP3, NUM (TP 1, PI 2) = 1, r (TP 1) = lg { 19+m (TP 1, PI 2) ]/[ NUM (TP 1, PI 2) +1] } lg10 = 1, NUM (TP 1, PI 2) } 1, r (TP 1) = g = 19+m (TP 1, TP 2) } 1, NUM (TP 1 = 1, NUM (TP 2) = 1, NUM 1] } 1, NUM (TP 1 = nug 1, nul 2 ] = 1, nug (TP 1 = nul 1, nul 2 ] = 1, nug (TP 1); NUM (TP 4, PI 2) =0, R (TP 4) =lg { [19+num (TP 4, PI 2) ]/[ NUM (TP 4, PI 2) +1] } not equal to 1, and the application of the design parameter TP4 in the actual design parameter set is unsuccessful, so that R (TP 4) =0; MV (S21) =1- (1+1+1)/4=0.25.
Performing association analysis on decoration design templates of different space areas, analyzing influence relations among the decoration design templates, and generating an influence relation set; according to the influence relation set, analyzing and calculating influence degree of the decoration design template;
acquiring any one repair design template Sjw in a space region personalized demand template set Ij and a space region personalized demand template set Ij correspondingly generated by any other space region j, wherein if the repair design template Six in one space region i is modified, the repair design template Sjw in the other space region j is modified, the influence of the repair design template Six on the repair design template Sjw is indicated, i is not equal to j, i and j is not more than K; counting all fitment design templates affected by the fitment design templates Six, generating an influence relation set, and marking as ES (Six);
according to the influence relation set, the influence degree of any repair design template is calculated, and the specific calculation formula is as follows:
ID(Six)=∑j=1K∑w=1NUF[Six∈ES(Sjw)]/∑i=1K∑j=1K∑w=1NUF[Six∈ES(Sjw)]
wherein ID (Six) represents the influence degree of any one repair design template Six, NU represents the number of repair design templates contained in the space region personalized demand template set Ij, ES (Sjw) represents the set of influence relationships generated correspondingly by any one repair design template Sjw, if Six e ES (Sjw) exists, F [ Six e ES (Sjw) ] is made to be=1, otherwise F [ Six e ES (Sjw) ] is made to be=0.
According to the modification value and the influence degree, analyzing and calculating a modification difficulty value of the decoration design template; screening the personalized requirements according to the modification difficulty value, selecting a decoration design template corresponding to the minimum modification difficulty value, generating a final design scheme, and sending the final design scheme to a user;
calculating a modification difficulty value DV (Six) =MV (Six) x ID (Six) of any repair design template according to the modification degree of any repair design template and the influence degree of any repair design template, and obtaining the modification difficulty value of each repair design template in the space region personalized demand template set Ii, wherein the modification difficulty value is recorded as { DV (Si 1), DV (Si 2),. The number of the repair design templates, DV (Sin) };
and selecting a decoration design template corresponding to the minimum modification difficulty value Min { DV (Si 1), DV (Si 2),. The number of the decoration design templates, DV (Sin) } as a final design scheme of any one space region index i, and sending the final design scheme to a user for confirmation.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent 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 (4)

1. The multidimensional data model information management method based on the Internet of things is characterized by comprising the following steps of:
step S100: generating a three-dimensional figure of the building space according to the construction parameters and the constituent elements of the building space, and dividing the space region of the three-dimensional figure; the user selects a decoration design template from a decoration design template library according to the space region and the personalized requirements;
step S200: obtaining design parameters of a decoration design template, and generating a decoration design template parameter set; according to the construction parameters of the building space, acquiring actual design parameters of the space region, comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template;
Step S300: performing association analysis on decoration design templates of different space areas, analyzing influence relations among the decoration design templates, and generating an influence relation set; according to the influence relation set, analyzing and calculating influence degree of the decoration design template;
step S400: according to the modification value and the influence degree, analyzing and calculating a modification difficulty value of the decoration design template; screening the personalized requirements according to the modification difficulty value, selecting a decoration design template corresponding to the minimum modification difficulty value, generating a final design scheme, and sending the final design scheme to a user;
the specific implementation process of the step S100 includes:
step S101: acquiring all construction parameters of a building space, and generating a three-dimensional graph in the building space by combining all construction parameters of the building space through three-dimensional graph design software; dividing the space region of the three-dimensional graph according to the internal constituent elements of the building space to obtain K space regions, uniformly numbering the space regions, and marking any space region as i;
step S102: the user selects a decoration design template of each space region from a decoration design template library according to K space regions and personalized requirements, wherein all the types of the constituent elements in the building space and all the decoration design templates corresponding to each type of the constituent elements are stored in the decoration design template library; the whole fitment design template of any space region I is integrated, and a space region personalized demand template set is generated and is recorded as I i ＝{S i1 ，S i2 ，...，S in S, where S i1 ，S i2 ，...，S in Respectively representing n repair design templates of the user aiming at any space region i and selected according to personalized requirements;
the specific implementation process of the step S200 includes:
step S201: acquiring any repair design template in the space region personalized demand template set, identifying the design parameters of any repair design template, generating a repair design template parameter set, and recording as S ix |I i ＝{TP 1 ，TP 2 ，...，TP m }, where TP 1 ，TP 2 ，...，TP m 1,2, respectively representing any one of the repair design templates, m design parameters, S ix ∈I i And x represents the number of the decoration design template;
step S202: according to the building space construction parameters of any space region i, the real space of any space region i is identifiedThe actual design parameters are generated and recorded as PI i ＝{PTP 1 ，PTP 2 ，...，PTP m }, wherein PTP 1 ，PTP 2 ，...，PTP m 1,2, respectively, representing any one spatial region i, m actual design parameters, and PTP m With TP m Is a corresponding relation; comparing any one of the repair design template parameter sets with the actual design parameter set according to the actual design parameter set, and calculating the modification degree of any one of the repair design templates, wherein the specific calculation formula is as follows:
MV(S ix )＝1-∑ y＝1 m R(TP y )/m
R(TP y )＝lg{[19+NUM(TP y ，PI i )]/[NUM(TP y ，PI i )+1]}
Wherein MV (S) ix ) Representing any one of the repair design templates S ix Is modified by R (TP) y ) Representing a Fitment design template parameter set S ix |I i Any one of design parameters TP y In the actual design parameter set PI i In (c) application tag value, NUM (TP y ，PI i ) Representing any one design parameter TP y The number of comparison matches in the actual design parameter set, and TP y ∈S ix |I i Y represents a design parameter number;
if R (TP) y ) =1, then represents any one of the design parameters TP y The application in the actual design parameter set is successful; if R (TP) y ) Not equal to 1, any one design parameter TP is represented y The application in the actual design parameter set is unsuccessful and let R (TP y )＝0；
The specific implementation process of the step S300 includes:
step S301: acquiring a space region personalized demand template set I correspondingly generated by any other space region j j And space region personalized demand template set I j Any one of the repair design templates S jw If the decoration design template S is in a space region i ix After modificationResulting in a decorative design template S in another spatial region j jw Also make modifications, then represent the fitment design template S ix Influence the decoration design template S jw I is not equal to j, i and j are not more than K; statistics of all decorated design templates S ix All the affected decoration design templates are generated and the relation set of the affected parts is recorded as ES (S ix )；
Step S302: according to the influence relation set, the influence degree of any repair design template is calculated, and the specific calculation formula is as follows:
ID(S ix )＝∑ j＝1 K ∑ w＝1 NU F[S ix ∈ES(S jw )]/∑ i＝1 K ∑ j＝1 K ∑ w＝1 NU F[S ix ∈ES(S jw )]
wherein ID (S ix ) Representing any one of the repair design templates S ix NU represents the influence of the spatial region personalized demand template set I j The number of the fitment design templates contained in the system, ES (S jw ) Representing any one of the repair design templates S jw Corresponding to the generated set of influence relationships, if S is present ix ∈ES(S jw ) Let F [ S ] ix ∈ES(S jw )]=1, otherwise let F [ S ix ∈ES(S jw )]＝0。
2. The method for managing multidimensional data model information based on the internet of things according to claim 1, wherein the specific implementation process of step S400 comprises:
step S401: calculating a modification difficulty value DV of any one repair design template according to the modification degree of any one repair design template and the influence degree of any one repair design template (S ix )＝MV(S ix )×ID(S ix ) And obtaining a space region personalized demand template set I i The modification difficulty value of each repair design template is recorded as { DV (S) i1 )，DV(S i2 )，...，DV(S in )}；
Step S402: selecting the minimum value Min { DV (S) i1 )，DV(S i2 )，...，DV(S in ) And the corresponding decoration design template is used as the final design scheme of any space region mark i and is sent to a user for confirmation.
3. A multidimensional data model information management system based on the internet of things, the system comprising: the system comprises a multidimensional data model module, a design comparison module, a correlation analysis module and a demand decision module;
the multidimensional data model module generates a three-dimensional graph of the building space according to the construction parameters and the constituent elements of the building space, and performs space region division on the three-dimensional graph; the user selects a decoration design template from a decoration design template library according to the space region and the personalized requirements;
the design comparison module is used for obtaining design parameters of the decoration design template and generating a decoration design template parameter set; according to the construction parameters of the building space, acquiring actual design parameters of the space region, comparing the design parameters of the decoration design template with the actual design parameters of the space region, and analyzing and calculating the modification value of the decoration design template;
the association analysis module is used for carrying out association analysis on the decoration design templates of different space areas, analyzing the influence relation among the decoration design templates and generating an influence relation set; according to the influence relation set, analyzing and calculating influence degree of the decoration design template;
The demand decision module analyzes and calculates the modification difficulty value of the decoration design template according to the modification value and the influence; screening the personalized requirements according to the modification difficulty value, selecting a decoration design template corresponding to the minimum modification difficulty value, generating a final design scheme, and sending the final design scheme to a user;
the multidimensional data model module further comprises a region dividing unit and a personalized demand unit;
the regional division unit is used for acquiring all construction parameters of the building space, and generating a three-dimensional graph in the building space by combining all construction parameters of the building space through three-dimensional graph design software; dividing the space region of the three-dimensional graph according to the internal constituent elements of the building space to obtain K space regions, uniformly numbering the space regions, and marking any space region as i;
the personalized demand unit is used for enabling a user to select a decoration design template of each space area from a decoration design template library according to K space areas and personalized demands, and all the inside constituent element types of the building space and all the decoration design templates corresponding to each constituent element type are stored in the decoration design template library; the whole fitment design template of any space region I is integrated, and a space region personalized demand template set is generated and is recorded as I i ＝{S i1 ，S i2 ，...，S in S, where S i1 ，S i2 ，...，S in Respectively representing n repair design templates of the user aiming at any space region i and selected according to personalized requirements;
the design comparison module further comprises a design parameter forming unit and a modification degree calculating unit;
the design parameter forming unit is used for acquiring any repair design template in the space region personalized demand template set, identifying the design parameter of any repair design template, generating a repair design template parameter set, and recording as S ix |I i ＝{TP 1 ，TP 2 ，...，TP m }, where TP 1 ，TP 2 ，...，TP m 1,2, respectively representing any one of the repair design templates, m design parameters, S ix ∈I i And x represents the number of the decoration design template;
the modification degree calculating unit identifies the actual design parameters of any one space region i according to the building space construction parameters of any one space region i, generates an actual design parameter set and records the actual design parameter set as PI i ＝{PTP 1 ，PTP 2 ，...，PTP m }, wherein PTP 1 ，PTP 2 ，...，PTP m 1 st, 2 nd, respectively representing any one spatial region i..m actual design parameters, and PTP m With TP m Is a corresponding relation; comparing any one of the repair design template parameter sets with the actual design parameter set according to the actual design parameter set, and calculating the modification degree of any one of the repair design templates, wherein the specific calculation formula is as follows:
MV(S ix )＝1-∑ y＝1 m R(TP y )/m
R(TP y )＝lg{[19+NUM(TP y ，PI i )]/[NUM(TP y ，PI i )+1]}
Wherein MV (S) ix ) Representing any one of the repair design templates S ix Is modified by R (TP) y ) Representing a Fitment design template parameter set S ix |I i Any one of design parameters TP y In the actual design parameter set PI i In (c) application tag value, NUM (TP y ，PI i ) Representing any one design parameter TP y The number of comparison matches in the actual design parameter set, and TP y ∈S ix |I i Y represents a design parameter number;
if R (TP) y ) =1, then represents any one of the design parameters TP y The application in the actual design parameter set is successful; if R (TP) y ) Not equal to 1, any one design parameter TP is represented y The application in the actual design parameter set is unsuccessful and let R (TP y )＝0；
The association analysis module further comprises an influence relation analysis unit and an influence degree calculation unit;
the influence relation analysis unit is used for acquiring a space region personalized demand template set I correspondingly generated by any other space region j j And space region personalized demand template set I j Any one of the repair design templates S jw If the decoration design template S is in a space region i ix After modification, a decoration design template S in another space region j is caused jw Also make modifications, then represent the fitment design template S ix Influence the decoration design template S jw I is not equal to j, i and j are not more than K; statistics of all decorated design templates S ix All the affected decoration design templates are generated and the relation set of the affected parts is recorded as ES (S ix )；
The influence degree calculating unit calculates influence degree of any repair design template according to the influence relation set, and a specific calculation formula is as follows:
ID(S ix )＝∑ j＝1 K ∑ w＝1 NU F[S ix ∈ES(S jw )]/∑ i＝1 K ∑ j＝1 K ∑ w＝1 NU F[S ix ∈ES(S jw )]
wherein ID (S ix ) Representing any one of the repair design templates S ix NU represents the influence of the spatial region personalized demand template set I j The number of the fitment design templates contained in the system, ES (S jw ) Representing any one of the repair design templates S jw Corresponding to the generated set of influence relationships, if S is present ix ∈ES(S jw ) Let F [ S ] ix ∈ES(S jw )]=1, otherwise let F [ S ix ∈ES(S jw )]＝0。
4. The multi-dimensional data model information management system based on the internet of things according to claim 3, wherein: the demand decision module further comprises a modification difficulty value calculation unit and an internet of things transmission unit;
the modification difficulty value calculation unit calculates the modification difficulty value DV of any one of the repair design templates according to the modification degree of any one of the repair design templates and the influence degree of any one of the repair design templates (S) ix )＝MV(S ix )×ID(S ix ) And obtaining a space region personalized demand template set I i The modification difficulty value of each repair design template is recorded as { DV (S) i1 )，DV(S i2 )，...，DV(S in )}；
The transmission unit of the Internet of things is used for selecting a minimum modification difficulty value Min { DV (S) i1 )，DV(S i2 )，...，DV(S in ) The corresponding decoration design template is taken as the final design party of any space region index iAnd (5) the file is sent to the user for confirmation.
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