CN115481084A - BIM model resource management system - Google Patents
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Abstract
The invention discloses a BIM model resource management system, which belongs to the technical field of BIM model resource management and comprises a model library, a storage management module, a retrieval module and a server; the model library is used for storing the BIM model and comprises a first storage node and a second storage node; the storage management module is used for managing the storage data in the model base, setting the building characteristic data corresponding to each BIM model data packet in the first storage node, and converting the obtained building characteristic data into corresponding characteristic points; establishing a classification graph, inputting the feature points into the classification graph, identifying the positions of the feature points in the classification graph, matching corresponding BIM classification according to the identified positions, marking corresponding BIM classification labels on corresponding BIM model data packets, and cutting the BIM model data packets with the marked BIM classification labels into a second storage node; the retrieval module is used for retrieving the needed BIM model resources.
Description
Technical Field
The invention belongs to the technical field of BIM model resource management, and particularly relates to a BIM model resource management system.
Background
With the wider application of the BIM technology, each part of the construction industry gradually accumulates huge BIM model resources through the massive establishment of project models in the process of applying the BIM technology, and the BIM resources form digital assets of enterprises.
The existing BIM model resource management mode of more enterprises is mainly stored in a personal computer in a file form, and a series of problems of incapability of performing system management on the BIM model resource, poor safety (loss and leakage), low use efficiency, single sharing mode and the like exist.
Therefore, there is a need to develop an effective management method for the BIM model resources, standardize the resource management mode of the BIM model, and improve the efficiency of managing, using and sharing the BIM model resources.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a BIM model resource management system.
The purpose of the invention can be realized by the following technical scheme:
a BIM model resource management system comprises a model library, a storage management module, a retrieval module and a server;
the model library is used for storing the BIM model and comprises a first storage node and a second storage node;
the storage management module is used for managing the storage data in the model library, setting the building characteristic data corresponding to each BIM model data packet in the first storage node, and converting the obtained building characteristic data into corresponding characteristic points; establishing a classification graph, inputting the feature points into the classification graph, identifying the positions of the feature points in the classification graph, matching the corresponding BIM model classification according to the identified positions, marking the corresponding BIM model data packet with a corresponding BIM model classification label, and cutting the BIM model data packet with the printed BIM model classification label into a second storage node;
the retrieval module is used for retrieving the needed BIM model resources.
Further, the method for establishing the model base comprises the following steps:
the checking unit is arranged to check the uploaded BIM model data packets through the checking unit, a first database is established on the private cloud platform and comprises a first storage node and a second storage node, the BIM model data packets which are checked by the checking unit are sent to the first storage node in the first database to be stored, and the current first database is marked as a model database.
Further, the working method of the auditing unit comprises the following steps:
setting a data audit list, identifying data names and data formats contained in uploaded BIM model data packets, comparing the identified data names and data formats with the data audit list, identifying whether missing data or multiple data exist, generating a corresponding audit data list when the missing data or the multiple data exist, sending the corresponding audit data list to corresponding uploading personnel, performing corresponding data supplementation by the uploading personnel according to the missing data list, and uploading the corresponding BIM model data packets again after supplementation is completed; and when judging that the missing data or the plurality of data are not available, the audit is passed.
Further, the method for converting the obtained building feature data into the corresponding feature points comprises the following steps:
the method comprises the steps of obtaining the possessed feature single data, setting a conversion assignment for each feature single data, establishing an assignment matching table after summarizing the feature single data, inputting the feature single data into the assignment matching table for matching, obtaining the conversion assignment corresponding to each feature single data, and integrating the obtained conversion assignments into feature points.
Further, the method for establishing the classification chart comprises the following steps:
setting the BIM classification, setting the area range corresponding to each BIM classification, and drawing a classification chart according to the set area range.
Further, the method for setting the region range corresponding to each BIM model classification includes:
obtaining historical building characteristic data corresponding to the historical BIM model data packet, converting the historical building characteristic data into corresponding simulation points, distributing the simulation points into a coordinate system, classifying the simulation points according to the classification number of the BIM model, obtaining classification areas with corresponding number, determining the boundary of each classification area, marking the BIM model classification corresponding to each classification area, and marking the current classification area as an area range.
Further, the method for determining the boundary of each classification region comprises the following steps:
step SA1: establishing a point location model, analyzing the classified area through the point location model to generate a plurality of expansion point locations, converting the obtained expansion point locations into corresponding building characteristic data, judging whether the obtained building characteristic data belongs to the BIM model classification, and correcting the boundary of the classified area according to the judgment result;
step SA2: and repeating the step SA1 until the boundary of the classified area can not be corrected, and finishing the boundary determination of the classified area.
Further, the working method of the retrieval module comprises the following steps:
acquiring retrieval content, identifying retrieval feature data in the retrieval content, converting the retrieval feature data into corresponding retrieval feature vectors, calculating the similarity between the retrieval feature vectors and each BIM model data packet in a second storage node, marking the acquired similarity as XSi, wherein i =1, 2, \8230;, N are positive integers, i represents the BIM model data packet, acquiring an uploader of each BIM model data packet, setting the completion score of each BIM model data packet according to the acquired uploader, marking the set completion score as PFi, calculating priority values according to a formula Qi = b1 xXS + b2 xPFi, wherein b1 and b2 are both proportional coefficients, the value range is 0W XSb1 is less than or equal to 1, 0W b2 is less than or equal to 1, W similarity adjustment values, arranging the calculated priority values in a sequence from large to small, acquiring a first sequence, and carrying out ranking on the BIM model data packets corresponding to the priority values before ranking in the first sequence, wherein N is a positive integer.
Further, the method for calculating the similarity between the retrieval feature vector and each BIM model data packet in the second storage node comprises the following steps:
and converting the feature points corresponding to each BIM model data packet into corresponding BIM characteristic vectors, and calculating the similarity between the retrieval feature vectors and each BIM characteristic vector.
Compared with the prior art, the invention has the beneficial effects that:
the model library is built on a private cloud platform, so that the confidentiality and the safety of BIM model resources are improved; in addition, compared with a management mode of storing the BIM model resources in a personal computer, the unified management of the BIM model resources is realized, and the management efficiency of the BIM model resources is improved; and overall management of BIM model resources is comprehensively realized, so that the BIM model resources are more favorable for modeling and using the BIM model, and further the management efficiency and the use efficiency of the BIM model resources are improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a BIM model resource management system includes a model library, a storage management module, a retrieval module, and a server;
the model base, the storage management module, the encryption module and the retrieval module are all in communication connection with the server.
The model library is used for storing the BIM model, and the specific method comprises the following steps:
and setting an auditing unit, wherein the auditing unit is used for auditing the uploaded BIM model data, auditing the uploaded BIM model data packet through the auditing unit, establishing a first database on the private cloud platform, the first database comprises a first storage node and a second storage node, sending the BIM model data packet approved by the auditing unit to the first storage node in the first database for storage, and marking the current first database as a model database.
The working method of the auditing unit comprises the following steps:
setting a data audit list in a manual mode, namely manually setting data to be contained in a corresponding BIM model data packet and a corresponding data format according to subsequent identification requirements, and establishing the data audit list after summarizing; the data auditing list comprises auditing items, data formats and other contents, such as project introduction, building introduction, BIM (building information modeling) and the like; identifying data names and data formats contained in the uploaded BIM model data packet, comparing the identified data names and data formats with a data audit list, and identifying whether missing data or multiple data exist, wherein the multiple data refer to other redundant data in the BIM model data packet;
when the missing data or the plurality of data are judged to be available, generating a corresponding audit data list, namely the missing data or the plurality of data are sent to corresponding uploading personnel, performing corresponding data supplement by the uploading personnel according to the missing data list, and uploading the corresponding BIM model data packet again after the supplement is completed; and when judging that the missing data or the plurality of data are not available, the audit is passed.
The storage management module is used for managing the storage data in the model library, and the specific method comprises the following steps:
building characteristic data corresponding to each BIM model data packet in the first storage node is set, and the obtained building characteristic data are converted into corresponding characteristic points; establishing a classification graph, inputting the feature points into the classification graph, identifying the positions of the feature points in the classification graph, matching the corresponding BIM classification according to the identified positions, marking the corresponding BIM classification labels on the corresponding BIM model data packets, and cutting the BIM model data packets with the marked BIM classification labels into a second storage node.
The method for setting the building characteristic data corresponding to each BIM model data packet in the first storage node comprises the following steps: establishing a corresponding feature recognition model based on a CNN network or a DNN network, establishing a corresponding training set in a manual mode for training, for example, identifying corresponding building features, such as building features of building types, building styles and the like, in corresponding files in a BIM model data packet, wherein the specific establishing and training process is common knowledge in the field.
The method for converting the obtained building characteristic data into the corresponding characteristic points comprises the following steps:
acquiring characteristic single data which may be possessed, wherein the building characteristic data is formed by combining a plurality of characteristic single data; and setting a conversion assignment for each feature single item of data in a manual mode, summarizing the feature single item of data, establishing an assignment matching table, inputting the feature single item of data into the assignment matching table for matching, obtaining the conversion assignments corresponding to each feature single item of data, and integrating the obtained conversion assignments into feature points, wherein if the conversion assignments are 1,2,3,4 and 5, the feature points are (1, 2,3,4 and 5).
The method for establishing the classification chart comprises the following steps:
the method comprises the steps of setting BIM classification, setting manually, specifically setting according to subsequent use requirements, setting the region range corresponding to each BIM classification, and drawing a classification graph according to the set region range.
The method for setting the region range corresponding to each BIM model classification comprises the following steps:
obtaining historical building characteristic data corresponding to a historical BIM model data packet, converting the historical building characteristic data into corresponding simulation points, namely characteristic points, distributing the simulation points into a coordinate system, classifying the simulation points according to the classification quantity of the BIM model, obtaining classification areas with corresponding quantity, determining the boundary of each classification area, marking the BIM model classification corresponding to each classification area, and marking the current classification area as an area range.
The method for classifying the simulation points according to the classification number of the BIM is based on the current clustering algorithm, such as a K-means algorithm, the specific clustering process is common knowledge in the field, and corresponding clustering limiting conditions are set in a manual mode.
The method for determining the boundary of each classification region comprises the following steps: because the classification area is obtained directly through the simulation point, the boundary is not accurate, and the boundary range is possibly smaller;
step SA1: establishing a point location model, analyzing the classified area through the point location model to generate a plurality of expansion point locations, converting the obtained expansion point locations into corresponding building characteristic data, judging whether the obtained building characteristic data belongs to the BIM model classification, and correcting the boundary of the classified area according to the judgment result;
step SA2: and repeating the step SA1 until the boundary of the classification area can not be corrected, and finishing the determination of the boundary of the classification area.
The point location model is established based on a CNN network or a DNN network, and a corresponding training set is set in a manual mode for training, so that a plurality of extension point locations are extended outwards based on the boundary simulation points of the classification region.
The retrieval module is used for retrieving the needed BIM model resources, because a large number of BIM model resources exist in the model library, the manual mode is troublesome for searching one by one, and the efficiency is low, so that the retrieval module needs to provide a retrieval function for quickly searching the needed BIM model resources. The specific method comprises the following steps:
acquiring retrieval content, identifying retrieval characteristic data in the retrieval content, wherein the retrieval characteristic data is characteristic data for limiting BIM model data, specifically establishing a corresponding retrieval identification model based on a CNN network or a DNN network, setting a corresponding training set for training in a manual mode, and identifying the retrieval characteristic data in the retrieval content through the successfully trained retrieval identification model; converting retrieval feature data into corresponding retrieval feature vectors, calculating the similarity between the retrieval feature vectors and each BIM model data packet in a second storage node, marking the obtained similarity as XSi, wherein i =1, 2, \8230 \ 8230;, N is a positive integer, i represents the BIM model data packet, acquiring the uploading person of each BIM model data packet, setting the completion score of each BIM model data packet according to the acquired uploading person, marking the set completion score as PFi, calculating priority values according to a formula Qi = b1 xWxXSi + b2 xPFi, wherein b1 and b2 are both proportionality coefficients, the value range is 0-between-and-1, the W similarity adjustment value is set by an expert group and is a fixed value, arranging the calculated priority values according to a sequence from large to small to obtain a first sequence, arranging the BIM model data packets corresponding to the priority values before sequencing in the first sequence, and carrying out the calculation, wherein N is a positive integer.
The method for converting the retrieval feature data into the corresponding retrieval feature vector is based on an assignment matching table for conversion, specifically, a corresponding retrieval feature conversion model is established based on a CNN network or a DNN network, a corresponding training set is established based on the assignment matching table for training in a manual mode, and corresponding conversion is performed through the successfully trained retrieval feature conversion model.
The method for calculating the similarity between the retrieval feature vector and each BIM model data packet in the second storage node comprises the following steps:
and converting the feature points corresponding to each BIM model data packet into corresponding BIM feature vectors, and calculating the similarity between the retrieval feature vectors and each BIM feature vector.
The method for setting each BIM model data packet to complete scoring according to the obtained uploader comprises the following steps:
the ability levels of all BIM modeling personnel are set manually, because in the same group company, corresponding setting can be carried out according to the former modeling result, a personnel level table is gathered and established, corresponding BIM model screenshots are obtained, the obtained BIM model screenshots and the ability levels corresponding to uploaders are integrated into scoring input data, corresponding scoring models are established based on a CNN network or a DNN network, corresponding training sets are set manually for training, and the scoring input data are analyzed through the scoring models after the training is successful, so that corresponding finished scores are obtained.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the most approximate real condition, and the preset parameters and the preset threshold values in the formula are set by the technical personnel in the field according to the actual condition or obtained by simulating a large amount of data.
The working principle of the invention is as follows: the BIM is stored through a model library, a storage management module is used for managing stored data in the model library, building characteristic data corresponding to each BIM data packet in a first storage node is set, and the obtained building characteristic data are converted into corresponding characteristic points; establishing a classification graph, inputting the feature points into the classification graph, identifying the positions of the feature points in the classification graph, matching the corresponding BIM model classification according to the identified positions, marking the corresponding BIM model data packet with a corresponding BIM model classification label, and cutting the BIM model data packet with the printed BIM model classification label into a second storage node; and searching the needed BIM model resources through a searching module.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (9)
1. A BIM model resource management system is characterized by comprising a model library, a storage management module, a retrieval module and a server;
the model library is used for storing the BIM model and comprises a first storage node and a second storage node;
the storage management module is used for managing the storage data in the model library, setting the building characteristic data corresponding to each BIM model data packet in the first storage node, and converting the obtained building characteristic data into corresponding characteristic points; establishing a classification graph, inputting the feature points into the classification graph, identifying the positions of the feature points in the classification graph, matching the corresponding BIM model classification according to the identified positions, marking the corresponding BIM model data packet with a corresponding BIM model classification label, and cutting the BIM model data packet with the printed BIM model classification label into a second storage node;
the retrieval module is used for retrieving the needed BIM model resources.
2. The BIM model resource management system of claim 1, wherein the method for building the model library comprises:
the checking unit is arranged to check the uploaded BIM model data packets through the checking unit, a first database is established on the private cloud platform and comprises a first storage node and a second storage node, the BIM model data packets which are checked by the checking unit are sent to the first storage node in the first database to be stored, and the current first database is marked as a model database.
3. The BIM model resource management system of claim 2, wherein the working method of the auditing unit comprises:
setting a data audit list, identifying data names and data formats contained in uploaded BIM model data packets, comparing the identified data names and data formats with the data audit list, identifying whether missing data or multiple data exist, generating a corresponding audit data list when the missing data or the multiple data exist, sending the corresponding audit data list to corresponding uploading personnel, performing corresponding data supplementation by the uploading personnel according to the missing data list, and uploading the corresponding BIM model data packets again after supplementation is completed; and when judging that the missing data or the plurality of data are not available, the audit is passed.
4. The BIM model resource management system of claim 1, wherein the method for converting the obtained building feature data into corresponding feature points comprises:
the method comprises the steps of obtaining the characteristic single data, setting a conversion assignment for each characteristic single data, establishing an assignment matching table after summarizing the characteristic single data, inputting the characteristic single data into the assignment matching table for matching, obtaining the conversion assignments corresponding to each characteristic single data, and integrating the obtained conversion assignments into characteristic points.
5. The BIM model resource management system of claim 1, wherein the method for building the classification chart comprises:
setting the BIM classification, setting the area range corresponding to each BIM classification, and drawing a classification chart according to the set area range.
6. The BIM model resource management system according to claim 4, wherein the method for setting the region range corresponding to each BIM model classification comprises:
obtaining historical building characteristic data corresponding to a historical BIM model data packet, converting the historical building characteristic data into corresponding simulation points, distributing the simulation points into a coordinate system, classifying the simulation points according to the classification quantity of the BIM model, obtaining classification areas of corresponding quantity, determining the boundary of each classification area, marking the BIM model classification corresponding to each classification area, and marking the current classification area as an area range.
7. The BIM model resource management system of claim 6, wherein the method for determining the boundary of each classification region comprises:
step SA1: establishing a point location model, analyzing the classified area through the point location model to generate a plurality of expansion point locations, converting the obtained expansion point locations into corresponding building characteristic data, judging whether the obtained building characteristic data belongs to the BIM model classification, and correcting the boundary of the classified area according to the judgment result;
step SA2: and repeating the step SA1 until the boundary of the classification area can not be corrected, and finishing the determination of the boundary of the classification area.
8. The BIM model resource management system of claim 1, wherein the working method of the retrieval module comprises:
acquiring retrieval content, identifying retrieval feature data in the retrieval content, converting the retrieval feature data into corresponding retrieval feature vectors, calculating the similarity between the retrieval feature vectors and each BIM model data packet in a second storage node, marking the acquired similarity as XSi, wherein i =1, 2, \ 8230 \ 8230;, N is a positive integer, i represents a BIM model data packet, acquiring an uploader of each BIM model data packet, setting the completion score of each BIM model data packet according to the acquired uploader, marking the set completion score as PFi, calculating priority values according to a formula Qi = b1 xWXSi + b2 xPFi, wherein b1 and b2 are both proportionality coefficients, the dereference range is 0-b1-1, 0-b2-1, W similarity adjustment values, arranging the calculated priority values according to a recommended sequence from large to small, acquiring a first sequence, and carrying out ranking on BIM model data packets corresponding to the priority values of the first sequence, wherein N is a positive integer.
9. The BIM model resource management system of claim 8, wherein the method for calculating the similarity between the search feature vector and each BIM model data packet in the second storage node comprises:
and converting the feature points corresponding to each BIM model data packet into corresponding BIM characteristic vectors, and calculating the similarity between the retrieval feature vectors and each BIM characteristic vector.
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