CN109711099A - A kind of BIM automatic modeling system based on the study of image recognition machine - Google Patents

A kind of BIM automatic modeling system based on the study of image recognition machine Download PDF

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CN109711099A
CN109711099A CN201910061408.2A CN201910061408A CN109711099A CN 109711099 A CN109711099 A CN 109711099A CN 201910061408 A CN201910061408 A CN 201910061408A CN 109711099 A CN109711099 A CN 109711099A
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bim
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component
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CN109711099B (en
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吴继峰
杜战军
王彦坤
张贵婷
赵淼
桑建设
徐有扬
李明
肖亚委
张潮洋
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Henan Provincial Communication Planning and Design Institute Co Ltd
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Abstract

The present invention relates to the BIM automatic modeling systems learnt based on image recognition machine, effectively solve the problems, such as engineering project BIM technology auto-modeling with it is intelligentized, the geometrical characteristic and attributive character of respective members involved in current highway engineering design code, data acquire the characteristic matching determined in information extraction range and data processing image recognition processes;Data acquisition is tentatively concluded and is arranged by the profession in roadbed, road surface, bridge, culvert and tunnel according to extraction scope and organizational form, and data processing, supplementary data docking are carried out;According to the related information between component specification information and each component, corresponding landform, geological information are merged, intelligence generates the BIM model of corresponding engineering entity;Attribute information export is carried out to the key position of BIM model, significant points and complex region, carries out inverse verifying, fast positioning model member position with the corresponding information that original drawing extracts.Present invention use easy to install, reduces manpower, time and economic cost.

Description

A kind of BIM automatic modeling system based on the study of image recognition machine
Technical field
The present invention relates to BIM technology auto-modelings and intelligent field, especially a kind of to be based on image recognition machine The BIM automatic modeling system of habit.
Background technique
The development practice of BIM technology many years proves: BIM technology already and will continue to lead the information of engineering construction field to remove from office Life, along with gradually going deep into for BIM technology application, the conventional architectures of engineering construction field will be broken, and one kind is with information technology It will replace for leading new architecture.And as the BIM model of carrying information technology carrier, impart engineering entity " number The life of change " is the core for realizing engineering construction field " one module multiple usages, a mould on earth, a key management ", is comprehensive understanding work " previous and present life " of Cheng Shiti and " appearance heart " basis.
Based on above-mentioned common recognition, engineering construction informatization is also to be promoted by the leading principle of BIM model at present, It only can not also deeply be applied in project life cycle at home and the O&M pipe of existing engineering entity is supported, study carefully Its reason is mainly manifested in: on the one hand, current domestic popular BIM modeling software is based on foreign vendor, such as Autodesk and Bentley etc., external software vendor's fine modeling ability is powerful, but also compares with the actual combination of Chinese engineering Compared with shortcoming, especially from the integration in terms of specification, standard and management mode.On the other hand, since China project item is built Design cost is cheap in the process, change is frequent and management mode is slightly mad limits the designing quality and design of designing institute's BIM model Depth, domestic correlation BIM technology software vendor and consulting firm rest on the stage how to live on mostly, are guaranteeing BIM mould Under the premise of type is fine, to BIM technology auto-modeling and intelligentized research there is no deeply progress, therefore, how to protect Demonstrate,prove BIM model it is fine under the premise of, to BIM technology auto-modeling and intelligent and have no and be publicly reported.
Summary of the invention
For above situation, for the defect for overcoming the prior art, the purpose of the present invention is just to provide a kind of based on image knowledge The BIM automatic modeling system of other machine learning can effectively solve engineering project BIM technology auto-modeling and ask with intelligentized Topic.
The technical solution that the present invention solves is that a kind of BIM automatic modeling system based on the study of image recognition machine, this is System is identified by scanner integrated image and Text region, extracts the corresponding modeling information of platform needs from drawing automatically:
(1), engineering design feature database (module): feature database includes respective members involved in current highway engineering design code Geometrical characteristic and attributive character determine information extraction range and data processing (module) image recognition for data acquisition (module) Characteristic matching in the process;
(2), data acquisition (module): information extraction range that data acquisition is determined according to System Engineering Design feature database and Organizational form is tentatively concluded and is arranged by the profession in roadbed, road surface, bridge, culvert and tunnel;Data acquire (module) branch Hold file importing, drawing scanning and voice remarks data acquisition modes;
(3), data processing (module): the data processing includes that data are extracted, data are analyzed, machine learning (submodule), 1. Data extracting sub-module is used for the data information of data collecting module collected, embodiment engineering design code as built in system and The feature database of standard is the comparison and extraction that sample carries out effective information;2. data analyze submodule and press the corresponding feature of each component Information is basic sample, and the target data sample that matched data acquisition module obtains passes through basic feature and exclusiveness feature Matching, automatic identification counterpart member and its effective characteristic information and attribute information;3. machine learning submodule algorithm solution Above-mentioned collected data are analysed, incorporation engineering Feature library therefrom learns, and then makes to collected all kinds of drawing informations It determines or predicts.For to System Engineering Design feature database can not matched component carry out characteristic information acquisition and be added to system Engineering design feature database with it is subsequent being capable of the similar drawing information of automatic identification;
(4), supplementary data docking (module): including: the environmental data of landform involved in highway engineering, geology, existing engineering The data of operation, maintenance and the transformation of entity, and the extraction for thering is environmental data to carry out data by docking with generalized information system;
(5), BIM model generates (module): according to the related information between the above-mentioned component specification information parsed and each component, Corresponding landform, geological information are merged, intelligence generates the BIM model of corresponding engineering entity;
(6), key member verifying (module): by key position, significant points and the complex region of the BIM model to generation into The export of row attribute information carries out inverse verifying with the corresponding information that original drawing extracts, it is ensured that the BIM model and original graph of generation The matching and validity of paper;
(7), BIM pattern search (module): being used for fast positioning model member position, and way of search is supported to press component name, structure Part coding, component specification information, structure attribute information, construction material information, pile No., absolute altitude, three-dimension GIS coordinate carry out accurate Match and searches for generally.
Present system is simple, use easy to install, can effectively solve engineering project BIM technology auto-modeling and intelligence The problem of, work efficiency is high, and labor intensity is small, rapid intelligent automatic modeling is realized, for a large amount of existing fast run-ups of engineering entity Mould provides technology guarantee, greatly reduces manpower, time and the economic cost of existing work BIM technology informatization, has Significant economic and social benefit.
Detailed description of the invention
Fig. 1 is the structural frames diagram of present system.
Fig. 2 is the data relationship schematic diagram of present system.
Specific embodiment
It elaborates below in conjunction with attached drawing and concrete condition to a specific embodiment of the invention.
As shown in Figure 1, a kind of BIM automatic modeling system based on the study of image recognition machine of the present invention, the system is by sweeping The identification of instrument integrated image and Text region are retouched, extracts the corresponding modeling information of platform needs from drawing automatically:
(1), engineering design feature database: feature database includes that the geometry of respective members involved in current highway engineering design code is special It seeks peace attributive character, acquires the characteristic matching determined in information extraction range and data processing image recognition processes for data;
The design specification is highway engineering, comprising: " highway subgrade design specification " (JTG D30-2015), " highway cement is mixed Solidifying soil surface design specification " (JTG D40-2011), " bituminous pavement design for highway specification " (JTG D50-2017), " highway bridge Contain design general specification " (JTGD60-2015), " vcehicular tunnel design details " (JTGTD70-2010) and " freeway traffic Engineering and equipment along road design general specification " design specification of (JTGD80-2006), above-mentioned specification in feature database by roadbed, Road surface, bridge, culvert, tunnel, friendship, which install to apply profession and establish word bank, is classified and is penetrated through;
(2), data acquire: the information extraction range and tissue shape that the data acquisition is determined according to System Engineering Design feature database Formula is tentatively concluded and is arranged by the profession in roadbed, road surface, bridge, culvert and tunnel;Data acquisition support document importing, Drawing scanning and voice remarks data acquisition modes;
File is imported without selecting to import the corresponding design specialist type of file, system by data information in identification file and Image information completes Auto-matching, supports more kinds of documents of WORD, PDF, JPG, PNG, DWG, picture and graphic file formats;Drawing Scanning is using being integrated with the external scanner of image recognition and Text region to automatically extracting required data after tangible drawing scanning Information is added to system and carries out data processing;Voice remarks are not for being more perfect drawing file to individual data information, being The data information of mistake can not be sorted out or be sorted out to system, and manual intervention carries out supplemental information typing by way of speech recognition;
(3), data processing: the data processing includes that data are extracted, data are analyzed, machine learning, and 1. data are extracted, and being used for will Data acquire collected data information, and the feature database for embodying engineering design code and standard as built in system is sample progress The comparison and extraction of effective information;It is basic sample, matched data acquisition by the corresponding characteristic information of each component 2. data are analyzed The target data sample of acquisition, by the matching of basic feature and exclusiveness feature, automatic identification counterpart member and its effectively Characteristic information and attribute information;3. machine learning, with the above-mentioned collected data of arithmetic analysis, incorporation engineering design feature Library therefrom learns, and then collected all kinds of drawing informations are made decision or predicted, for System Engineering Design feature database Can not matched component carry out characteristic information acquisition and be added to System Engineering Design feature database and it is subsequent being capable of automatic identification class Like drawing information;
(4), supplementary data is docked: it include: the environmental data of landform involved in highway engineering, geology, existing engineering entity The data of operation, maintenance and transformation, and the extraction for thering is environmental data to carry out data by docking with generalized information system;
Operation, maintenance and the transformation data of engineering entity are mentioned by network with the progress data of docking of corresponding operation, maintenance system It takes, if can not be docked by network, selection by artificial again after the data export of corresponding operation, maintenance system by importing The docking of data is realized to this system;
(5), BIM model generates: according to the related information between the above-mentioned component specification information parsed and each component, merging phase The landform answered, geological information, intelligence generate the BIM model of corresponding engineering entity;
The component specification information includes but is not limited to geological information, location information, material or material information;The related information Including but not limited to absolute altitude, beginning and end pile No., deviation angle;
(6), key member is verified: carrying out attribute by the key position of the BIM model to generation, significant points and complex region Information export carries out inverse verifying with the corresponding information that original drawing extracts, it is ensured that the BIM model of generation and of original drawing With property and validity;
(7), BIM pattern search: be used for fast positioning model member position, way of search support by component name, component code, Component specification information, structure attribute information, construction material information, pile No., absolute altitude, three-dimension GIS coordinate is accurately matched and mould Paste search.
As shown in Figure 2, the present invention is in order to guarantee using effect and easy to use, based on the engineering design feature database Information database provides direction, criterion and the range of corresponding data interaction for other each modules, to guarantee having for data transmitting Effect property, wherein data acquisition and supplementary data docking collectively form Data Input Interface;Data processing and BIM model generate two Person complements each other, and the basic information and Data Input Interface of incorporation engineering Feature library obtain effective information, passes through parametrization Automatic modeling tool generates respective members model and carries out intelligent connecting;Key member verifying is with BIM pattern search for BIM mould The final mask that type generates output is checked, with the matching and validity of the BIM model and original drawing that ensure to generate.
The design specification being integrated in engineering design feature library module, preferably includes highway, building, municipal administration, water The design specification of the profession such as benefit, railway, electromechanics, Civil Aviation Airport, but not limited to this;
The algorithm involved in machine learning submodule, preferably include decision tree, random forest, logistic regression, The classics machine learning algorithm such as Adaboost and neural network, but not limited to this;
The method of the verifying of inverse involved in the key member authentication module, preferably include diagram method and regression formula method, The classics reverse calculation algorithms such as iterative method, database search method, genetic algorithm and artificial neural network method, but not limited to this.
It is noted that above-mentioned, provide is only embodiment, rather than is used for for illustrating embodiments of the present invention It limits the scope of the invention, it is all being made using equivalent, equivalent substitution technological means with technical solution of the present invention sheet The identical technical solution of matter, all belongs to the scope of protection of the present invention.
From the above, it is seen that present system structure is simple, novel and unique, use easy to install, effect is good, can effectively solve Certainly engineering project BIM technology auto-modeling and intelligentized problem, and through site test and application, effect is very good, and existing There is technology to compare, have the advantages that following prominent:
1, by machine learning, the analysis repeatedly and summary to existing design standard, specification and drawing, system be can be realized repeatedly 90% or more threedimensional model can automatically generate;
2, while ensuring to model accurate, modeling work efficiency is improved, efficiency can be improved 3 times or more, and reduce modeling process In the duplication of labour and error chance;
3, the design basis library for realizing complicated shape and structural group, automatically generates variable cross-section in conjunction with space structure and geography information The work of the Complex Modelings such as continuous beam, abnormity component;
4, realize the fast synergistic design between each profession, each profession only needs to consider the model creation of this profession, it is professional between Docking by system by the information auto-associating such as position, absolute altitude, and can artificially adjust;
5, rapid intelligent automatic modeling is realized, technology is provided for a large amount of existing engineering entity rapid modelings and guarantees, significantly Manpower, time and the economic cost for reducing existing work BIM technology informatization can save 60% or more manpower, time contracting Short by 60% or more, 50% or more save the cost is a big innovation, and economic and social benefit is significant.

Claims (6)

1. a kind of BIM automatic modeling system based on the study of image recognition machine, which is characterized in that the system is integrated by scanner Image recognition and Text region extract the corresponding modeling information of platform needs from drawing:
(1), engineering design feature database: feature database includes that the geometry of respective members involved in current highway engineering design code is special It seeks peace attributive character, acquires the characteristic matching determined in information extraction range and data processing image recognition processes for data;
(2), data acquire: the information extraction range and tissue shape that the data acquisition is determined according to System Engineering Design feature database Formula is tentatively concluded and is arranged by the profession in roadbed, road surface, bridge, culvert and tunnel;Data acquisition support document importing, Drawing scanning and voice remarks data acquisition modes;
(3), data processing: the data processing includes that data are extracted, data are analyzed, machine learning, and 1. data are extracted, and being used for will Data acquire collected data information, and the feature database for embodying engineering design code and standard as built in system is sample progress The comparison and extraction of effective information;It is basic sample, matched data acquisition by the corresponding characteristic information of each component 2. data are analyzed The target data sample of acquisition, by the matching of basic feature and exclusiveness feature, automatic identification counterpart member and its effectively Characteristic information and attribute information;3. machine learning, with the above-mentioned collected data of arithmetic analysis, incorporation engineering design feature Library therefrom learns, and then collected all kinds of drawing informations are made decision or predicted, for System Engineering Design feature database Can not matched component carry out characteristic information acquisition and be added to System Engineering Design feature database and it is subsequent being capable of automatic identification class Like drawing information;
(4), supplementary data is docked: it include: the environmental data of landform involved in highway engineering, geology, existing engineering entity The data of operation, maintenance and transformation, and the extraction for thering is environmental data to carry out data by docking with generalized information system;
(5), BIM model generates: according to the related information between the above-mentioned component specification information parsed and each component, merging phase The landform answered, geological information, intelligence generate the BIM model of corresponding engineering entity;
(6), key member is verified: carrying out attribute by the key position of the BIM model to generation, significant points and complex region Information export carries out inverse verifying with the corresponding information that original drawing extracts, it is ensured that the BIM model of generation and of original drawing With property and validity;
(7), BIM pattern search: be used for fast positioning model member position, way of search support by component name, component code, Component specification information, structure attribute information, construction material information, pile No., absolute altitude, three-dimension GIS coordinate is accurately matched and mould Paste search.
2. the BIM automatic modeling system according to claim 1 based on the study of image recognition machine, which is characterized in that should System is identified by scanner integrated image and Text region, and the corresponding modeling information of platform needs is extracted from drawing:
(1), engineering design feature database: feature database includes that the geometry of respective members involved in current highway engineering design code is special It seeks peace attributive character, acquires the characteristic matching determined in information extraction range and data processing image recognition processes for data;
The design specification is highway engineering, comprising: " highway subgrade design specification " (JTG D30-2015), " highway cement is mixed Solidifying soil surface design specification " (JTG D40-2011), " bituminous pavement design for highway specification " (JTG D50-2017), " highway bridge Contain design general specification " (JTGD60-2015), " vcehicular tunnel design details " (JTGTD70-2010) and " freeway traffic Engineering and equipment along road design general specification " design specification of (JTGD80-2006), above-mentioned specification in feature database by roadbed, Road surface, bridge, culvert, tunnel, friendship, which install to apply profession and establish word bank, is classified and is penetrated through;
(2), data acquire: the information extraction range and tissue shape that the data acquisition is determined according to System Engineering Design feature database Formula is tentatively concluded and is arranged by the profession in roadbed, road surface, bridge, culvert and tunnel;Data acquisition support document importing, Drawing scanning and voice remarks data acquisition modes;
File is imported without selecting to import the corresponding design specialist type of file, system by data information in identification file and Image information completes Auto-matching, supports more kinds of documents of WORD, PDF, JPG, PNG, DWG, picture and graphic file formats;Drawing Scanning is using being integrated with the external scanner of image recognition and Text region to automatically extracting required data after tangible drawing scanning Information is added to system and carries out data processing;Voice remarks are not for being more perfect drawing file to individual data information, being The data information of mistake can not be sorted out or be sorted out to system, and manual intervention carries out supplemental information typing by way of speech recognition;
(3), data processing: the data processing includes that data are extracted, data are analyzed, machine learning, and 1. data are extracted, and being used for will Data acquire collected data information, and the feature database for embodying engineering design code and standard as built in system is sample progress The comparison and extraction of effective information;It is basic sample, matched data acquisition by the corresponding characteristic information of each component 2. data are analyzed The target data sample of acquisition, by the matching of basic feature and exclusiveness feature, automatic identification counterpart member and its effectively Characteristic information and attribute information;3. machine learning, with the above-mentioned collected data of arithmetic analysis, incorporation engineering design feature Library therefrom learns, and then collected all kinds of drawing informations are made decision or predicted, for System Engineering Design feature database Can not matched component carry out characteristic information acquisition and be added to System Engineering Design feature database and it is subsequent being capable of automatic identification class Like drawing information;
(4), supplementary data is docked: it include: the environmental data of landform involved in highway engineering, geology, existing engineering entity The data of operation, maintenance and transformation, and the extraction for thering is environmental data to carry out data by docking with generalized information system;
Operation, maintenance and the transformation data of engineering entity are mentioned by network with the progress data of docking of corresponding operation, maintenance system It takes, if can not be docked by network, selection by artificial again after the data export of corresponding operation, maintenance system by importing The docking of data is realized to this system;
(5), BIM model generates: according to the related information between the above-mentioned component specification information parsed and each component, merging phase The landform answered, geological information, intelligence generate the BIM model of corresponding engineering entity;
The component specification information includes but is not limited to geological information, location information, material or material information;The related information Including but not limited to absolute altitude, beginning and end pile No., deviation angle;
(6), key member is verified: carrying out attribute by the key position of the BIM model to generation, significant points and complex region Information export carries out inverse verifying with the corresponding information that original drawing extracts, it is ensured that the BIM model of generation and of original drawing With property and validity;
(7), BIM pattern search: be used for fast positioning model member position, way of search support by component name, component code, Component specification information, structure attribute information, construction material information, pile No., absolute altitude, three-dimension GIS coordinate is accurately matched and mould Paste search.
3. the BIM automatic modeling system according to claim 1 based on the study of image recognition machine, which is characterized in that institute Engineering design feature database is stated as basic information database, provides the direction of corresponding data interaction, criterion for other each modules And range, to guarantee the validity of data transmitting, wherein data acquisition and supplementary data docking collectively form data input and connect Mouthful;Data processing and BIM model generate the two and complement each other, and basic information and the data input of incorporation engineering Feature library connect Mouth obtains effective information, generates respective members model by parametrization automatic modeling tool and carries out intelligent connecting;Key member Verifying with BIM pattern search for BIM model generate output final mask check, with ensure generate BIM model and The matching and validity of original drawing.
4. the BIM automatic modeling system according to claim 1 based on the study of image recognition machine, which is characterized in that institute The design specification being integrated in engineering design feature database stated is highway, building, municipal administration, water conservancy, railway, electromechanics, Civil Aviation Airport Design specification.
5. the BIM automatic modeling system according to claim 1 based on the study of image recognition machine, which is characterized in that institute The algorithm involved in machine learning stated be decision tree, random forest, logistic regression, Adaboost and neural network machine Learning algorithm.
6. the BIM automatic modeling system according to claim 1 based on the study of image recognition machine, which is characterized in that institute The method for the inverse verifying that the key member verifying stated is related to be diagram method and regression formula method, iterative method, database search method, The reverse calculation algorithms of genetic algorithm and artificial neural network method.
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CN110335247A (en) * 2019-05-30 2019-10-15 广东民航机场建设有限公司 Defect positioning method, device, equipment and storage medium based on BIM model
CN110335247B (en) * 2019-05-30 2021-12-10 广东省机场管理集团有限公司工程建设指挥部 BIM (building information modeling) -based defect positioning method, device, equipment and storage medium
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CN112257162A (en) * 2020-10-29 2021-01-22 中国十七冶集团有限公司 Railway underpass frame box culvert jacking construction method based on BIM technology
CN114840900A (en) * 2022-05-18 2022-08-02 滁州学院 Derivative BIM component automatic generation method based on i-GBDT technology
CN114757661A (en) * 2022-06-13 2022-07-15 中国建筑西南设计研究院有限公司 Automatic refining method and system of BIM (building information modeling) model, electronic equipment and medium
CN114757661B (en) * 2022-06-13 2022-08-16 中国建筑西南设计研究院有限公司 Automatic refining method and system of BIM (building information modeling) model, electronic equipment and medium

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