CN112380592B - Design recommendation system and method, electronic device and readable storage medium - Google Patents
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Abstract
The embodiment of the invention provides a design recommendation system and device, electronic equipment and a storage medium, and a data acquisition module, which are used for acquiring user behavior data; the data analysis module comprises a correlation unit, a database, a data screening and filtering model and a prediction unit, wherein historical operation behavior data and basic operation data are stored in the database; the association unit is used for carrying out data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; the prediction unit is used for inputting the current design state into a preset data screening and filtering model to screen out predicted operation behaviors; and designing an intelligent recommendation module for recommending the prejudging operation behavior in the design environment according to the predicting operation behavior. The three-dimensional intelligent recommendation design system based on the user behaviors can comprehensively analyze the operation behaviors of the user, improve the three-dimensional design speed from the user perspective, guide the three-dimensional design, and is beneficial to improving the design efficiency of the user by adopting the design recommendation system after training for a plurality of times.
Description
Technical Field
The invention belongs to the field of intelligent design, and particularly relates to a design recommendation system and method, electronic equipment and a readable storage medium.
Background
The most commonly used CAD software in the industry at present comprises CATIA, NX, creo, solidWorks and the like, when three-dimensional design is carried out, a model is required to be gradually designed and created from points, lines and surfaces, or a reference part component is selected from a model library through searching, and at present, in the aspect of auxiliary design behavior recommendation, CAD software generally only records searched or opened model records, and does not carry out analysis according to user behaviors and then carries out more accurate design recommendation.
The existing design recommendation system is mostly hung outside CAD software, design recommendation is made according to professional, search records, design habits and other reference data of designers in an integrated or plug-in mode, and no three-dimensional design software can achieve intelligent design recommendation based on user behaviors in the design process. Thus, the prior art also has the following drawbacks: the analysis based on user behavior requires "training", otherwise the recommended content may be inaccurate or even misleading to the user; the behavior analysis model and algorithm need to be continuously perfected to realize accurate recommendation according to the actual design environment; the CAD design system does not consider the acquisition and analysis of user behavior in the framework, and cannot realize more accurate and intelligent design recommendation.
Disclosure of Invention
The embodiment of the invention provides a system and a method for acquiring and analyzing user behaviors and realizing accurate and intelligent design recommendation, electronic equipment and a readable storage medium.
The embodiment of the invention provides a design recommendation system, which comprises a data acquisition module, a data analysis module and a design intelligent recommendation module, wherein,
the data acquisition module is used for acquiring user behavior data;
the data analysis module is connected with the data acquisition module and comprises an association unit, a database, a data screening and filtering model and a prediction unit, wherein historical operation behavior data and basic operation data are stored in the database; the association unit is used for carrying out data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; the prediction unit is used for inputting the current design state into a preset data screening and filtering model to screen out predicted operation behaviors;
the intelligent design recommendation module is connected with the data analysis module and used for recommending the prejudging operation behavior in the design environment according to the predicted operation behavior.
According to the design recommendation system provided by the embodiment of the invention, the user behavior data and the historical operation behavior data respectively comprise at least one of design specialty or type information, design model or coding information, sketch design behavior data, part design behavior data, parameter design behavior data, assembly design behavior data, label design behavior data, entity design behavior data, curved surface design behavior data and sheet metal design behavior data.
According to the design recommendation system provided by the embodiment of the invention, the basic operation data comprises at least one of scheme data, profile equipment data, model part data, model data, professional material data, inter-standard data, standard specifications and a design manual.
The design recommendation system provided by the embodiment of the invention further comprises a checking and updating module which is respectively connected with the data analysis module and the design intelligent recommendation module and is used for acquiring and storing relevant data of actual operation of a user, and selectively feeding back the relevant data of the actual operation and the prejudging operation behavior into the database according to the matching degree of the relevant data of the actual operation and the prejudging operation behavior so as to update the database.
According to the design recommendation system provided by the embodiment of the invention, the database further comprises a database maintenance unit, wherein the database maintenance unit is used for receiving the relevant data of the actual operation of the user and the prejudgment operation behavior fed back by the checking and updating module, carrying out regularization processing on the relevant data of the actual operation of the user and the prejudgment operation behavior, and storing the judgment rules into the database after forming corresponding judgment rules.
According to the design recommendation system provided by the embodiment of the invention, the edge pre-judging operation behavior comprises at least one of modeling size parameters, marking fonts, font sizes and colors in the design, stretching and bridging modes of the curved surface design, constraint positions and distance recommendation of the assembly design, material recommendation based on industry information, section material recommendation based on equipment library, part, standard part and equipment model recommendation, parameter recommendation based on standard manual and color rendering and matching recommendation based on visual habit.
The embodiment of the invention provides a design recommendation method, which comprises the following steps:
collecting user behavior data;
performing data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; inputting the current design state into a preset data screening and filtering model, and screening out predicted operation behaviors; the database stores historical operation behavior data and basic operation data;
and recommending the prejudging operation behavior in the design environment according to the predicting operation behavior.
The design recommendation method provided by the embodiment of the invention further comprises the following steps:
acquiring and storing relevant data of actual operation of a user, and selectively feeding back the relevant data of the actual operation and the prejudging operation behavior to the database according to the matching degree of the relevant data of the actual operation and the prejudging operation behavior so as to update the database.
The embodiment of the invention provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the design recommendation method when executing the program.
Embodiments of the present invention provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the design recommendation method.
According to the embodiment of the invention, the three-dimensional intelligent recommendation design system based on user behavior analysis is formed by the plurality of modules, and the data analysis and pushing behaviors among the modules can be optimized in real time according to the actual operation of a user to realize feedback and iteration, so that the three-dimensional intelligent recommendation design system is more intelligent. The design behavior data reflects the thinking mode, the design habit and the professional characteristics of a user, the three-dimensional design speed is improved from the perspective of the user, the core of the three-dimensional design is guided, and the design recommendation system trained for a plurality of times is adopted, so that the design efficiency of the user is improved, and the user has a feeling of pleasure when designing; the application threshold of CAD design software is reduced, and the intelligent recommended design can make the three-dimensional design easier; the precisely recommended design thought can be 'precipitated' and converted into 'experience data' of CAD design software, so that virtuous circle between design work and design environments is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a design recommendation system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a design recommendation method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
Fig. 1 is a schematic diagram of a design recommendation system provided in an embodiment of the present invention, as shown in fig. 1, the system includes a data acquisition module 10, a data analysis module 20, and a design intelligent recommendation module 30, wherein,
the data acquisition module 10 is used for acquiring user behavior data;
what is collected by the data collection module 10 is real-time user behavior data for subsequent analysis. The user behavior data respectively comprises at least one of real-time design specialty or type information, design model or coding information, sketch design behavior data, part design behavior data, parameter design behavior data, assembly design behavior data, label design behavior data, entity design behavior data, curved surface design behavior data and sheet metal design behavior data.
The data analysis module 20 is connected with the data acquisition module 10, the data analysis module 20 comprises an association unit, a database, a data screening and filtering model and a prediction unit, and historical operation behavior data and basic operation data are stored in the database; the association unit is used for carrying out data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; the prediction unit is used for inputting the current design state into a preset data screening and filtering model to screen out predicted operation behaviors;
the historical operation behavior data comprises at least one of design specialty or type information, design model or coding information, sketch design behavior data, part design behavior data, parameter design behavior data, assembly design behavior data, label design behavior data, entity design behavior data, curved surface design behavior data and sheet metal design behavior data of a historical user.
The historical operational behavior data detailed description includes the following examples:
1) Custom modeling command usage order;
2) Commands commonly used for geometric solid and curved surface modeling (a plurality of commands can realize the same result);
3) Tolerance, parameter usage habits (e.g., those between 0.01 and 0.5 are familiar with using values as small as 0.01).
The basic operation data includes at least one of scheme data, profile equipment data, model part data, model data, professional materials data, inter-standard data, standard specifications, and a design manual.
The design intelligent recommendation module 30 is connected to the data analysis module 20, and is configured to recommend a pre-judgment operation behavior in a design environment according to the predicted operation behavior.
The recommended prejudging operation behavior accords with the next operation behavior of the current design, and more data are needed to train the data screening and filtering model in the process so as to realize more accurate design behavior recommendation.
The system further comprises an inspection updating module which is respectively connected with the data analysis module 20 and the design intelligent recommendation module 30 and is used for acquiring and storing the related data of the actual operation of the user, and selectively feeding back the related data of the actual operation and the pre-judging operation behavior to the database according to the matching degree of the related data of the actual operation and the pre-judging operation behavior so as to update the database.
The side prejudging operation behavior comprises modeling size parameters, marking fonts, font sizes and colors in the design, stretching and bridging modes of the curved surface design, constraint position and distance recommendation of the assembly design, material recommendation based on industry information, section material recommendation based on equipment library, part, standard component and equipment model recommendation, parameter recommendation based on standard manual, and color rendering and matching recommendation based on visual habit.
The database also comprises a database maintenance unit, wherein the database maintenance unit is used for receiving the relevant data of the actual operation of the user and the prejudgment operation behavior fed back by the checking and updating module, carrying out regularization processing on the relevant data of the actual operation of the user and the prejudgment operation behavior, and storing the judgment rules into the database after forming corresponding judgment rules.
According to the embodiment of the invention, the three-dimensional intelligent recommendation design system based on user behavior analysis is formed by the plurality of modules, and the data analysis and pushing behaviors among the modules can be optimized in real time according to the actual operation of a user to realize feedback and iteration, so that the three-dimensional intelligent recommendation design system is more intelligent. The design behavior data reflects the thinking mode, the design habit and the professional characteristics of a user, the three-dimensional intelligent recommendation design system based on the user behavior comprehensively analyzes the operation behavior of the user, and "guesses" the design intention of the user, which is the core of improving the three-dimensional design speed and guiding the three-dimensional design from the perspective of the user, and the design recommendation system trained for a plurality of times is adopted, so that the improvement of the design efficiency of the user is facilitated, and the design has a feeling of redundancy; the application threshold of CAD design software is reduced, and the intelligent recommended design can make the three-dimensional design easier; the precisely recommended design thought can be 'precipitated' and converted into 'experience data' of CAD design software, so that virtuous circle between design work and design environments is realized.
Fig. 2 is a schematic diagram of a design recommendation method according to an embodiment of the present invention, as shown in fig. 2, where the method includes:
s1: collecting user behavior data;
s2: performing data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; inputting the current design state into a preset data screening and filtering model, and screening out predicted operation behaviors; the database stores historical operation behavior data and basic operation data;
s3: and recommending the prejudging operation behavior in the design environment according to the predicting operation behavior.
The preset data screening and filtering model is obtained by repeatedly and iteratively executing S1-S3 through some historical user behavior data, and the data in the later use process can be selectively updated into a database of the preset data screening and filtering model, namely, recommendation is accurately reserved, some inaccurate recommendation is eliminated, and the system is continuously optimized through circularly executing S1-S3, so that the predicted operation behavior recommended by the system is more and more intelligent and accurate.
The design recommendation method provided by the embodiment of the invention further comprises the following steps:
acquiring and storing relevant data of actual operation of a user, and selectively feeding back the relevant data of the actual operation and the prejudging operation behavior to the database according to the matching degree of the relevant data of the actual operation and the prejudging operation behavior so as to update the database. If the matching degree is high, updating the actual operation related data and the prejudging operation behavior into the database, and if the matching degree is low, not updating the actual operation related data and the prejudging operation behavior into the database.
The working principle of the design recommendation method in the embodiment of the present invention corresponds to the design recommendation system in the above embodiment, and is not described here in detail.
Fig. 3 illustrates a physical schematic diagram of an electronic device, which may include: processor 310, communication interface (Communications Interface) 320, memory 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 accomplish communication with each other through communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform a design recommendation method comprising:
s1: collecting user behavior data;
s2: performing data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; inputting the current design state into a preset data screening and filtering model, and screening out predicted operation behaviors; the database stores historical operation behavior data and basic operation data;
s3: and recommending the prejudging operation behavior in the design environment according to the predicting operation behavior.
Further, the logic instructions in the memory 330 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing a design recommendation method, the method comprising:
s1: collecting user behavior data;
s2: performing data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; inputting the current design state into a preset data screening and filtering model, and screening out predicted operation behaviors; the database stores historical operation behavior data and basic operation data;
s3: and recommending the prejudging operation behavior in the design environment according to the predicting operation behavior.
In yet another aspect, embodiments of the present invention also provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform a design recommendation method comprising:
s1: collecting user behavior data;
s2: performing data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; inputting the current design state into a preset data screening and filtering model, and screening out predicted operation behaviors; the database stores historical operation behavior data and basic operation data;
s3: and recommending the prejudging operation behavior in the design environment according to the predicting operation behavior.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A design recommendation system is characterized by comprising a data acquisition module, a data analysis module and a design intelligent recommendation module, wherein,
the data acquisition module is used for acquiring user behavior data;
the data analysis module is connected with the data acquisition module and comprises an association unit, a database, a data screening and filtering model and a prediction unit, wherein historical operation behavior data and basic operation data are stored in the database; the association unit is used for carrying out data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; the prediction unit is used for inputting the current design state into a preset data screening and filtering model to screen out predicted operation behaviors;
the intelligent design recommendation module is connected with the data analysis module and used for recommending the prejudging operation behavior in a design environment according to the predicted operation behavior;
the user behavior data and the historical operation behavior data respectively comprise at least one of design specialty or type information, design model or coding information, sketch design behavior data, part design behavior data, parameter design behavior data, assembly design behavior data, label design behavior data, entity design behavior data, curved surface design behavior data and sheet metal design behavior data;
the prejudging operation behavior comprises modeling size parameters, marking fonts, font sizes and colors in the design, stretching and bridging modes of the curved surface design, constraint position and distance recommendation of the assembly design, material recommendation based on industry information, section material recommendation based on equipment library, part, standard component and equipment model recommendation, parameter recommendation based on standard manual, and color rendering and matching recommendation based on visual habit.
2. The design recommendation system of claim 1, wherein the base operating data comprises at least one of solution data, profile equipment data, model part data, model data, specialty materials data, inter-standard data, standard specifications, design manuals.
3. The design recommendation system according to claim 1, further comprising a checking and updating module, respectively connected to the data analysis module and the design intelligent recommendation module, for acquiring and storing data related to actual operations of a user, and selectively feeding back the data related to actual operations and the behavior related to prejudging operations to the database according to a matching degree between the data related to actual operations and the behavior related to prejudging operations, so as to update the database.
4. The design recommendation system according to claim 3, wherein the database further comprises a database maintenance unit, the database maintenance unit is configured to receive the data related to the actual operation of the user and the prejudgement operation behavior fed back by the inspection update module, perform regularization processing on the data related to the actual operation of the user and the prejudgement operation behavior, and store the decision rule into the database after forming a corresponding decision rule.
5. A design recommendation method, comprising:
collecting user behavior data;
performing data comprehensive association analysis on the user behavior data in combination with a database to obtain a current design state; inputting the current design state into a preset data screening and filtering model, and screening out predicted operation behaviors; the database stores historical operation behavior data and basic operation data;
recommending the prejudging operation behavior in the design environment according to the predicted operation behavior;
the user behavior data and the historical operation behavior data respectively comprise at least one of design specialty or type information, design model or coding information, sketch design behavior data, part design behavior data, parameter design behavior data, assembly design behavior data, label design behavior data, entity design behavior data, curved surface design behavior data and sheet metal design behavior data;
the prejudging operation behavior comprises modeling size parameters, marking fonts, font sizes and colors in the design, stretching and bridging modes of the curved surface design, constraint position and distance recommendation of the assembly design, material recommendation based on industry information, section material recommendation based on equipment library, part, standard component and equipment model recommendation, parameter recommendation based on standard manual, and color rendering and matching recommendation based on visual habit.
6. The design recommendation method of claim 5, further comprising:
acquiring and storing relevant data of actual operation of a user, and selectively feeding back the relevant data of the actual operation and the prejudging operation behavior to the database according to the matching degree of the relevant data of the actual operation and the prejudging operation behavior so as to update the database.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the design recommendation method according to claims 5-6 when the program is executed by the processor.
8. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the design recommendation method according to claims 5-6.
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