CN110414124B - Analysis method and device for similarity of model member files - Google Patents
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Abstract
A method and a device for analyzing similarity of model component files, wherein the method comprises the following steps: picking up geometric entities contained in a given model member, and calculating the geometric characteristics of each geometric entity; using the geometric features of the given model member, querying and screening model members similar to the given model member from a model member database; comparing all the similar model components with the given model components in pairs in sequence, and calculating the similarity of each similar model component and the given model component; and screening the model components with similarity with the given model components being greater than a certain threshold value as final similar model components. The method can start from the geometric entity information of the model component, realize quick searching of similar model component files and give out corresponding similarity.
Description
Technical Field
The application belongs to the technical field of building design, and particularly relates to a method and a device for analyzing similarity of model component files.
Background
In the field of engineering construction, more and more designers (e.g., building designers, structural engineers, electromechanical designers, etc.) are beginning to model buildings using three-dimensional simulation techniques. After the model is created, the designer delivers the model to a developer (first party) of a building, a construction party (building company) and the like for acceptance, examination, construction guidance and the like, and the designer usually uses model components for modeling when designing the building model.
The model component is a digital expression form of the component in a computer, is a model file designed and saved by a designer through three-dimensional design software, and visually and completely describes various aspects of the component (including three-dimensional geometric information, parameter attribute information, installation process information, maintenance information and the like) through three-dimensional representation and is stored in a storage device of the computer. The model components are opposite to the modeling model, which is equivalent to the logical concept of the components to the building, and the whole building model is formed by combining a large number of model component designs.
When building model design is carried out, similar model components are required to be searched, and the similarity of the searched similar model components is judged, so that modeling design is better carried out. For example, in content recommendation, similar components need to be recommended according to the model components currently used by the user. Specifically, when a designer uses a model component to design a building model, the situation that local dimensions and specifications need to be adjusted often occurs, so that a user can conveniently find the model component with the required dimension from a component material library directly. For another example, in order to protect the digital rights of the model components, the problem of identifying the infringement of the components occurs, and the component models with higher similarity are screened out through an algorithm, so that a professional may be required to judge whether the infringement exists.
The prior art does not have a way to find similar model members and determine the similarity of the model members.
Disclosure of Invention
Based on the defects in the prior art, the invention provides a method and a device for analyzing the similarity of model component files, which start from geometric entity information of model components, realize quick search of similar model component files and provide corresponding similarity.
The invention provides a method for analyzing similarity of model component files, which comprises the following steps:
step one: picking up geometric entities contained in a given model member, and calculating the geometric characteristics of each geometric entity;
step two: using the geometric features of the given model member, querying and screening model members similar to the given model member from a model member database;
step three: comparing all the similar model components with the given model components in pairs in sequence, and calculating the similarity of each similar model component and the given model component;
step four: and screening the model components with similarity with the given model components being greater than a certain threshold value as final similar model components.
Further, the model components similar to the given model components are selected from the model component database through query, specifically:
comparing the geometric features of the given model member with the geometric features of each model member in a database of model members, if the number of geometric entities whose geometric features are identical, contained by both model members, reaches a predetermined value, the two model members are considered to be similar, and the model members in the database of model members are screened out as similar model members.
Further, the calculating the similarity of each similar model member to the given model member is calculated based on the following equation:
S＝2*m/(n 1 +n 2 )；
where S represents the similarity of two model members, m is the number of geometric entities that each of the similar model members matches with the given model member, n1 is the number of geometric entities of the given model member, and n2 is the number of geometric entities of each of the similar model members.
Further, before the first step, the method further includes:
and pre-establishing a model component database, wherein the model component database stores model components and corresponding geometric characteristic information thereof.
Further, the pre-built model component database comprises:
the geometric entity contained in each model component is picked up in advance, the geometric characteristic of each geometric entity is calculated, the association relation between the geometric characteristic and the model component is stored in a database, and an inverted index is established.
Further, the calculating the geometric characteristics of the geometric entity specifically includes:
traversing all N geometric entities of the model component, and sequentially calculating the geometric characteristics G N (a, v, i1, i2, i 3) of each geometric entity, wherein N represents an nth geometric entity, 0< N < N, a is a surface area, v is a volume, and (i 1, i2, i 3) is a characteristic value of an inertia tensor matrix of the geometric entity;
the calculating the geometric feature G n (a, v, i1, i2, i 3) of each geometric entity is specifically:
(1) Calculating the surface area a of the geometric entity;
(2) Calculating the volume v of the geometric entity;
(3) Calculating an inertial tensor matrix I of the geometric entity;
(4) Solving eigenvalues (I1, I2, I3) of the inertial tensor matrix I;
(5) The geometric features G n (a, v, i1, i2, i 3) of the geometric entity are obtained.
The invention also provides an analysis device for the similarity of the model component files, which comprises a geometric feature calculation unit, a query unit, a similarity calculation unit and a screening unit:
the geometric feature calculation unit is used for picking up geometric entities contained in a given model component and calculating the geometric feature of each geometric entity;
the query unit is used for querying and screening model components similar to the given model components from a model component database by using the geometric characteristics of the given model components;
the similarity calculation unit is used for sequentially comparing all the similar model components with the given model component in pairs and calculating the similarity of each similar model component and the given model component;
the screening unit is used for screening the model components with the similarity with the given model components being greater than a certain threshold value as final similar model components.
Further, the query unit is specifically configured to:
comparing the geometric features of the given model member with the geometric features of each model member in a database of model members, if the number of geometric entities whose geometric features are identical, contained by both model members, reaches a predetermined value, the two model members are considered to be similar, and the model members in the database of model members are screened out as similar model members.
Further, the calculating the similarity of each similar model member to the given model member is calculated based on the following equation:
S＝2*m/(n 1 +n 2 )；
where S represents the similarity of two model members, m is the number of geometric entities that each of the similar model members matches with the given model member, n1 is the number of geometric entities of the given model member, and n2 is the number of geometric entities of each of the similar model members.
Further, the device also comprises a storage unit, which is used for pre-establishing a model component database, wherein the model component database stores model components and corresponding geometric characteristic information thereof.
Further, the pre-built model component database comprises:
the geometric entity contained in each model component is picked up in advance, the geometric characteristic of each geometric entity is calculated, the association relation between the geometric characteristic and the model component is stored in a database, and an inverted index is established.
Further, the calculating the geometric characteristics of the geometric entity specifically includes:
traversing all N geometric entities of the model component, and sequentially calculating the geometric characteristics G N (a, v, i1, i2, i 3) of each geometric entity, wherein N represents an nth geometric entity, 0< N < N, a is a surface area, v is a volume, and (i 1, i2, i 3) is a characteristic value of an inertia tensor matrix of the geometric entity;
the calculating the geometric feature G n (a, v, i1, i2, i 3) of each geometric entity is specifically:
(1) Calculating the surface area a of the geometric entity;
(2) Calculating the volume v of the geometric entity;
(3) Calculating an inertial tensor matrix I of the geometric entity;
(4) Solving eigenvalues (I1, I2, I3) of the inertial tensor matrix I;
(5) The geometric features G n (a, v, i1, i2, i 3) of the geometric entity are obtained.
The invention also provides an electronic device, which comprises:
a storage device;
one or more processors;
the storage device is configured to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement a method of analyzing similarity of model component files.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed, implements a method of analyzing similarity of model component files.
Compared with the prior art, the analysis method and the analysis device for the file similarity of the model components select the surface area, the volume and the inertia matrix characteristic value as key geometric characteristics aiming at each model component, and the geometric characteristic values are used for establishing inverted indexes, so that index retrieval is facilitated, and the possible similarity range is reduced; the similarity between every two model components is given through further calculation, so that the similar model component of a given model component can be quickly found out from the mass components, and a corresponding similarity value is given.
Drawings
In order to facilitate an understanding and a complete description of the technical solutions of the present application by a person skilled in the art, reference is made to the accompanying drawings, it being apparent that the described embodiments are only some, but not all, embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Fig. 1 is a flow chart of a method for analyzing similarity of model member files according to the present application.
Fig. 2 is a schematic block diagram of an analysis device for similarity of model member files.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Based on the graphic knowledge, the volume, surface area, and eigenvalues of the inertial tensor matrix are the same for the same geometric entity. Conversely, if the volumes, surface areas, and eigenvalues of the inertial tensor matrix are the same for both geometric entities, then the representation of the greatest probability can be considered the same for both geometric entities. Because one model component is formed by splicing and linking a plurality of geometric entities, the more the same geometric entities exist in the geometric entities contained in two model components, the more similar the two model components are indicated, and therefore, the invention judges whether the two model components are similar or not by means of the number of the same geometric entities in different model components.
Embodiment one:
the embodiment of the invention provides a method for analyzing the similarity of model component files, which comprises the following steps:
step one: the geometric entities contained by a given model member are picked up, and the geometric features of each of the geometric entities are calculated. The given model member is a model member for which a similarity determination is to be made.
For a given model component to be subjected to similarity judgment, picking up all geometric entities of the given model component, and calculating geometric features of all geometric entities according to a feature algorithm.
Step two: using the geometric features of the given model member, a model member similar to the given model member is queried from a database of model members.
The method comprises the steps of inquiring and screening model components similar to the given model components from a model component database, and specifically comprises the following steps:
comparing the geometric features of the given model member with the geometric features of each model member in a database of model members, if the number of geometric entities whose geometric features are identical, contained by both model members, reaches a predetermined value, the two model members are considered to be similar, and the model members in the database of model members are screened out as similar model members.
The model component database stores model components and corresponding geometric feature information thereof;
step three: comparing all the similar model components with the given model components in pairs in sequence, and calculating the similarity of each similar model component and the given model component;
the similarity is calculated based on the following formula:
S＝2*m/(n 1 +n 2 )；
where S is the similarity of two model members, m is the number of geometric entities that each of the similar model members matches with the given model member, n1 is the number of geometric entities of the given model member, and n2 is the number of geometric entities of each of the similar model members.
Step four: and screening the model components with similarity with the given model components being greater than a certain threshold value as final similar model components.
Further, before the step of picking up the geometric entities contained in a given model member, and calculating the geometric features of each of the geometric entities, the method further includes:
and pre-establishing a model component database, wherein the model component database stores model components and corresponding geometric characteristic information thereof.
The pre-built model component database comprises:
the geometric entity contained in each model component is picked up in advance, the geometric characteristic of each geometric entity is calculated, the association relation between the geometric characteristic and the model component is stored in a database, and an inverted index is established.
The calculating the geometric characteristics of the geometric entity specifically comprises the following steps:
traversing all N geometric entities of the model member, sequentially calculating the geometric feature G N (a, v, i1, i2, i 3) of each geometric entity, wherein N represents the nth geometric entity, 0< N < N, a is the surface area, v is the volume, and (i 1, i2, i 3) is the eigenvalue of the inertial tensor matrix of the geometric entity.
The computing of the geometric features G n (a, v, i1, i2, i 3) for each geometric entity includes:
(1) Calculating the surface area a of the geometric entity;
(2) Calculating the volume v of the geometric entity;
(3) Calculating an inertial tensor matrix I of the geometric entity;
(4) Solving eigenvalues (I1, I2, I3) of the inertial tensor matrix I;
(5) The geometric features G n (a, v, i1, i2, i 3) of the geometric entity are obtained.
Embodiment two:
the second embodiment of the invention provides an analysis device for similarity of model component files, which comprises a geometric feature calculation unit, a query unit, a similarity calculation unit and a screening unit.
The geometric feature calculation unit is used for picking up geometric entities contained in a given model component and calculating the geometric feature of each geometric entity. The given model member is a model member for which a similarity determination is to be made.
For a given model component to be subjected to similarity judgment, picking up all geometric entities of the given model component, and calculating geometric features of all geometric entities according to a feature algorithm.
The query unit is used for querying and screening model components similar to the given model components from a model component database by using the geometric characteristics of the given model components.
The method comprises the steps of inquiring and screening model components similar to the given model components from a model component database, and specifically comprises the following steps:
comparing the geometric features of the given model member with the geometric features of each model member in a database of model members, if the number of geometric entities whose geometric features are identical, contained by both model members, reaches a predetermined value, the two model members are considered to be similar, and the model members in the database of model members are screened out as similar model members.
The model component database stores model components and corresponding geometric feature information thereof;
the similarity calculation unit is used for sequentially comparing all the similar model components with the given model component in pairs, and calculating the similarity of each similar model component and the given model component;
the similarity is calculated based on the following formula:
S＝2*m/(n 1 +n 2 )；
where S is the similarity of two model members, m is the number of geometric entities that each of the similar model members matches with the given model member, n1 is the number of geometric entities of the given model member, and n2 is the number of geometric entities of each of the similar model members.
The screening unit is used for screening the model components with the similarity with the given model components being greater than a certain threshold value as final similar model components.
The device also comprises a storage unit, wherein the storage unit is used for pre-establishing a model component database, and the model component database stores model components and geometric characteristic information corresponding to the model components.
The pre-built model component database comprises:
the geometric entity contained in each model component is picked up in advance, the geometric characteristic of each geometric entity is calculated, the association relation between the geometric characteristic and the model component is stored in a database, and an inverted index is established.
The calculating the geometric characteristics of the geometric entity specifically comprises the following steps:
traversing all N geometric entities of the model member, sequentially calculating the geometric feature G N (a, v, i1, i2, i 3) of each geometric entity, wherein N represents the nth geometric entity, 0< N < N, a is the surface area, v is the volume, and (i 1, i2, i 3) is the eigenvalue of the inertial tensor matrix of the geometric entity.
The computing of the geometric features G n (a, v, i1, i2, i 3) for each geometric entity includes:
(1) Calculating the surface area a of the geometric entity;
(2) Calculating the volume v of the geometric entity;
(3) Calculating an inertial tensor matrix I of the geometric entity;
(4) Solving eigenvalues (I1, I2, I3) of the inertial tensor matrix I;
(5) The geometric features G n (a, v, i1, i2, i 3) of the geometric entity are obtained.
In addition, the embodiment of the application also discloses an electronic device, which comprises a storage device and one or more processors, wherein the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method as in the embodiment.
The embodiment of the application also discloses a computer readable storage medium, on which a computer program is stored, which when executed, implements the method as in the first embodiment.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatuses, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart and block diagrams may represent a unit, module, segment, or portion of code, which comprises one or more computer-executable instructions for implementing the logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. It will also be noted that each block or combination of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that, in this document, 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. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The present application is not limited to any specific form of combination of hardware and software. In summary, the above embodiments are only preferred embodiments of the present application, and are not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (8)
1. A method for analyzing similarity of files of model members, the method comprising the steps of:
step one: picking up geometric entities contained in a given model member, calculating geometric characteristics of each geometric entity, storing association relations between the geometric characteristics and the model member into a database, and establishing an inverted index; wherein the geometric features comprise the surface area, volume and eigenvalue of inertial tensor matrix of geometric entity;
step two: using the geometric features of the given model member, querying and screening model members similar to the given model member from a model member database;
the second step comprises the following steps:
comparing the geometric features of the given model member with the geometric features of each model member in a model member database, if the number of geometric entities with identical geometric features contained by the two model members reaches a predetermined value, considering that the two model members are similar, and screening the model members in the model member database as similar model members;
step three: comparing all the similar model components with the given model components in pairs in sequence, and calculating the similarity of each similar model component and the given model component;
wherein the calculating the similarity of each similar model member to the given model member is calculated based on:
S＝2*m/(n1+n2)；
wherein S represents the similarity of two model members, m is the number of geometric entities matched by each of the similar model members with the given model member, n1 is the number of geometric entities of the given model member, and n2 is the number of geometric entities of each of the similar model members;
step four: and screening the model components with similarity with the given model components being greater than a certain threshold value as final similar model components.
2. The method of claim 1, wherein prior to step one, the method further comprises:
and pre-establishing a model component database, wherein the model component database stores model components and corresponding geometric characteristic information thereof.
3. The method according to claim 1, wherein said calculating geometrical features of said geometrical entity is in particular:
traversing all N geometric entities of the model component, and sequentially calculating geometric features Gn (a, v, i1, i2, i 3) of each geometric entity, wherein N represents an nth geometric entity, 0< N < N, a is a surface area, v is a volume, and (i 1, i2, i 3) is a eigenvalue of an inertia tensor matrix of the geometric entity;
the calculating the geometric feature Gn (a, v, i1, i2, i 3) of each geometric entity specifically includes:
(1) Calculating the surface area a of the geometric entity;
(2) Calculating the volume v of the geometric entity;
(3) Calculating an inertial tensor matrix I of the geometric entity;
(4) Solving eigenvalues (I1, I2, I3) of the inertial tensor matrix I;
(5) Obtaining the geometric characteristics Gn (a, v, i1, i2, i 3) of the geometric entity.
4. An analysis device for similarity of model component files is characterized in that the device comprises a geometric feature calculation unit, a query unit, a similarity calculation unit and a screening unit:
the geometric feature calculation unit is used for picking up geometric entities contained in a given model component, calculating the geometric feature of each geometric entity, storing the association relation between the geometric feature and the model component into a database, and establishing an inverted index; wherein the geometric features comprise the surface area, volume and eigenvalue of inertial tensor matrix of geometric entity;
the query unit is used for querying and screening model components similar to the given model components from a model component database by using the geometric characteristics of the given model components;
the query unit is further configured to compare the geometric feature of the given model member with the geometric feature of each model member in the model member database, and if the number of geometric entities with consistent geometric features contained in the two model members reaches a predetermined value, consider that the two model members are similar, and screen the model members in the model member database as similar model members;
the similarity calculation unit is used for sequentially comparing all the similar model components with the given model component in pairs and calculating the similarity of each similar model component and the given model component;
the similarity calculation unit is further configured to: the similarity of each similar model member to the given model member is calculated according to the following equation: s= 2*m/(n1+n2); wherein S represents the similarity of two model members, m is the number of geometric entities matched by each of the similar model members with the given model member, n1 is the number of geometric entities of the given model member, and n2 is the number of geometric entities of each of the similar model members;
the screening unit is used for screening the model components with the similarity with the given model components being greater than a certain threshold value as final similar model components.
5. The apparatus according to claim 4, further comprising a storage unit for pre-building a model component database, wherein the model component database stores model components and their corresponding geometric feature information.
6. The apparatus according to claim 4, wherein said calculating geometrical features of said geometrical entities is in particular:
traversing all N geometric entities of the model component, and sequentially calculating geometric features Gn (a, v, i1, i2, i 3) of each geometric entity, wherein N represents an nth geometric entity, 0< N < N, a is a surface area, v is a volume, and (i 1, i2, i 3) is a eigenvalue of an inertia tensor matrix of the geometric entity;
(5) Obtaining the geometric characteristics Gn (a, v, i1, i2, i 3) of the geometric entity.
7. An electronic device, the electronic device comprising:
a storage device;
one or more processors;
the storage means is for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of one of claims 1-3.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the method according to one of claims 1-3 is implemented when the computer program is executed.
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