CN117350682B - Building construction progress management method and system based on BIM - Google Patents
Building construction progress management method and system based on BIM Download PDFInfo
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Abstract
The invention discloses a building construction progress management method and system based on BIM, and relates to the technical field of building construction management, wherein the method comprises the following steps: constructing a three-dimensional BIM model of a target building; obtaining a construction progress analysis result; obtaining a plurality of ending scene image sets; performing material multiplexing progress analysis to obtain a plurality of material multiplexing progress analysis results; obtaining a plurality of analysis results of the using demand degrees; combining the multiple material multiplexing progress analysis results and the multiple usage demand degree analysis results, and calculating to obtain multiple material progress analysis results; and carrying out weighted correction calculation on the construction progress analysis result to obtain a corrected construction progress analysis result, and generating a construction progress management scheme. The invention solves the technical problems that the construction progress analysis is inaccurate and effective progress management cannot be performed in the prior art, achieves the technical effects of reliably analyzing the construction progress, enabling the construction progress management to be more fit with the actual construction condition and improving the management quality.
Description
Technical Field
The invention relates to the technical field of building construction management, in particular to a building construction progress management method and system based on BIM.
Background
In the course of building construction, effective progress management of the construction process is required in order to guarantee delivery date. However, in the construction process of many enterprises, the construction progress management scheme is disjointed from the actual progress of the building due to insufficient depth of analysis of the construction progress data, and the result of building delivery cannot be completed on time. In the prior art, the construction progress analysis is inaccurate, the construction material problem is not considered, and the effective progress management cannot be performed.
Disclosure of Invention
The application provides a building construction progress management method and system based on BIM, which are used for solving the technical problems that in the prior art, construction progress analysis is inaccurate and effective progress management cannot be performed.
In view of the above problems, the present application provides a building construction progress management method and system based on BIM.
In a first aspect of the present application, there is provided a building construction progress management method based on BIM, the method including:
and constructing a three-dimensional BIM model of the target building based on the design data of the target building which is currently constructed, wherein the three-dimensional BIM model comprises a plurality of sub-BIM models of the multi-storey building.
And acquiring a construction site image of the current construction floor, and carrying out construction progress prediction analysis and construction progress similarity analysis by combining a construction sub BIM model of the current construction floor to obtain a construction progress analysis result.
And acquiring field images of a plurality of ending floors below the current construction floor according to a plurality of acquisition positions to obtain a plurality of ending field image sets, wherein the plurality of acquisition positions comprise a plurality of multiplexing construction materials.
And carrying out material multiplexing progress analysis based on a plurality of ending sub BIM models of the ending floors according to the plurality of ending scene image sets to obtain a plurality of material multiplexing progress analysis results.
And carrying out the analysis of the use demand degrees of various construction materials according to the construction site image to obtain a plurality of analysis results of the use demand degrees, wherein the various construction materials and the various multiplexing construction materials are in one-to-one correspondence.
And combining the multiple material multiplexing progress analysis results and the multiple usage demand degree analysis results, and calculating to obtain multiple material progress analysis results.
And carrying out weighted correction calculation on the construction progress analysis results based on the plurality of material progress analysis results to obtain corrected construction progress analysis results, and generating a construction progress management scheme.
In a second aspect of the present application, there is provided a building construction progress management system based on BIM, the system comprising:
the BIM model construction module is used for constructing a three-dimensional BIM model of the target building based on design data of the target building which is currently constructed, wherein the three-dimensional BIM model comprises a plurality of sub-BIM models of the multi-storey building.
The progress analysis result obtaining module is used for collecting construction site images of the current construction floor, and carrying out construction progress prediction analysis and construction progress similarity analysis by combining the construction sub BIM model of the current construction floor to obtain construction progress analysis results.
The system comprises a field image set acquisition module, a construction material collection module and a construction material collection module, wherein the field image set acquisition module is used for acquiring field images of a plurality of ending floors below a current construction floor according to a plurality of acquisition positions to acquire a plurality of ending field image sets, and the plurality of acquisition positions comprise a plurality of multiplexing construction materials.
And the multiplexing progress analysis result obtaining module is used for carrying out material multiplexing progress analysis based on a plurality of ending sub BIM models of the ending floors according to the plurality of ending scene image sets to obtain a plurality of material multiplexing progress analysis results.
The demand analysis result obtaining module is used for carrying out the demand analysis of the use of various construction materials according to the construction site image to obtain a plurality of demand analysis results, wherein the various construction materials and the various multiplexing construction materials are in one-to-one correspondence.
And the material progress analysis result calculation module is used for combining the plurality of material multiplexing progress analysis results and the plurality of using demand degree analysis results to calculate and obtain a plurality of material progress analysis results.
And the progress management scheme generation module is used for carrying out weighted correction calculation on the construction progress analysis results based on the plurality of material progress analysis results to obtain corrected construction progress analysis results and generating a construction progress management scheme.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of constructing a three-dimensional BIM model of a target building based on design data of the target building under construction, wherein the BIM model comprises a plurality of sub-BIM models of multi-storey buildings, then collecting construction site images of the current construction storeys, combining the construction sub-BIM models of the current construction storeys, carrying out construction progress prediction analysis and construction progress similarity analysis, obtaining construction progress analysis results, further collecting site images of a plurality of ending storeys below the current construction storeys according to a plurality of collecting positions, obtaining a plurality of ending site image sets, wherein the plurality of collecting positions comprise a plurality of multiplexing construction materials, carrying out material multiplexing progress analysis according to the plurality of ending site image sets, obtaining a plurality of material multiplexing progress analysis results based on the plurality of ending sub-BIM models of the plurality of ending storeys, then carrying out use demand degree analysis of the plurality of construction materials according to the construction site images, obtaining a plurality of use demand degree analysis results, carrying out one-to-one correspondence of the plurality of construction materials and a plurality of multiplexing construction materials, combining the plurality of material multiplexing progress analysis results and the plurality of use demand degree analysis results, calculating and obtaining a plurality of materials, then carrying out progress correction and progress calculation, correcting and progress calculation, and correcting the construction progress analysis. The technical effects of improving the fitting degree of construction progress management and actual building construction and improving the progress management quality are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a building construction progress management method based on BIM according to the embodiment of the present application.
Fig. 2 is a schematic flow chart of calculating and obtaining a construction progress analysis result in the building construction progress management method based on BIM according to the embodiment of the present application.
Fig. 3 is a schematic flow chart of obtaining multiple material multiplexing progress analysis results in a building construction progress management method based on BIM according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a building construction progress management system based on BIM according to the embodiment of the present application.
Reference numerals illustrate: the system comprises a BIM model building module 11, a progress analysis result obtaining module 12, a progress analysis result obtaining module 13, a multiplexing progress analysis result obtaining module 14, a demand level analysis result obtaining module 15, a material progress analysis result calculating module 16 and a progress management scheme generating module 17.
Detailed Description
The application provides a building construction progress management method and system based on BIM, which are used for solving the technical problems that in the prior art, construction progress analysis is inaccurate and effective progress management cannot be performed.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a building construction progress management method based on BIM, where the method includes:
Step S100: and constructing a three-dimensional BIM model of the target building based on the design data of the target building which is currently constructed, wherein the three-dimensional BIM model comprises a plurality of sub-BIM models of the multi-storey building.
In the embodiment of the application, the target building is any building which needs to be subjected to construction progress management according to the BIM model, and the building comprises an office building, a market, a school and the like. And (3) through calling the design data of the target building, inputting the data such as a design drawing, plane data, outer elevation data, each structure size, the surrounding environment of the building and the like in the design data into AutoCAD (automated CAD software) for building a BIM model, so as to obtain the three-dimensional BIM model of the target building. The three-dimensional BIM model is used for performing three-dimensional simulation on a target building and comprises a plurality of sub-BIM models of a multi-storey building. Each sub-BIM corresponds to one floor building, so that the target building is thinned into multiple floors, and the technical effects of providing simulated building data for subsequent building progress management and improving the degree of progress management refinement are achieved.
Step S200: and acquiring a construction site image of the current construction floor, and carrying out construction progress prediction analysis and construction progress similarity analysis by combining a construction sub BIM model of the current construction floor to obtain a construction progress analysis result.
Further, as shown in fig. 2, a construction site image of a current construction floor is collected, and in combination with a sub-BIM model of the current construction floor, a construction progress prediction analysis and a construction progress similarity analysis are performed, and step S200 in this embodiment of the present application further includes:
and collecting a construction site image of the current construction floor.
And indexing in the three-dimensional BIM model based on the construction floor to obtain a construction sub BIM model of the current construction floor.
And carrying out construction progress prediction analysis on the construction site images to obtain a first construction progress, and carrying out construction progress similarity analysis by combining the construction site images and the construction sub BIM model to obtain a second construction progress.
And calculating and obtaining a construction progress analysis result according to the first construction progress and the second construction progress.
Further, performing construction progress prediction analysis on the construction site image to obtain a first construction progress, and performing construction progress similarity analysis by combining the construction site image and a construction sub-BIM model to obtain a second construction progress, where step S200 further includes:
and clustering a plurality of floors of the target building to obtain a plurality of floor clustering results.
And collecting a plurality of sample construction site image sets and a plurality of sample first construction progress sets according to the plurality of floor clustering results, and carrying out construction progress similarity assessment by combining the plurality of sample construction site image sets and sub BIM models corresponding to the plurality of floor clustering results to obtain a plurality of sample second construction progress sets.
And constructing and training a plurality of construction progress prediction branches by adopting the plurality of sample construction site image sets and the plurality of sample first construction progress sets to form a construction progress prediction path.
Based on a twin network, constructing a plurality of construction progress similarity analysis branches, respectively training the construction progress similarity analysis branches by adopting the plurality of sample construction site image sets and sub BIM models corresponding to the plurality of floor clustering results, and forming a construction progress similarity analysis path.
And respectively carrying out construction progress prediction on the construction site image and construction progress similarity analysis on the construction site image and the construction sub BIM model by adopting the construction progress prediction path and the construction progress similarity analysis path to obtain a first construction progress and a second construction progress.
In one embodiment, a COMS (Complementary Metal Oxide Semiconductor) camera is utilized to image a job site of a current construction floor of a target building, thereby obtaining the job site image. The construction site image is used for describing a construction picture of a current construction floor of a target building, and provides basic data support for predicting the construction progress of the current construction floor. And the construction site image set is compared with a construction sub BIM model of the current construction floor to analyze, so that the aim of analyzing in terms of similarity of construction progress is fulfilled. By performing construction progress prediction analysis and construction progress similarity analysis, construction progress analysis results are obtained, accuracy of determining construction progress is improved, and a reliable management basis is provided for construction progress management.
In one embodiment, the three-dimensional BIM model is searched according to the design information of the current construction floor and the position information in the target building, so that a construction sub-BIM model of the current construction floor is obtained. The sub BIM model of the current construction floor is used for carrying out three-dimensional simulation on the structural condition after the construction progress of the current construction floor reaches 100%. And providing comparison basis for similarity analysis of the follow-up construction progress by obtaining the construction sub BIM model of the current construction floor. And further, performing construction progress prediction analysis based on the construction site image to obtain a first construction progress. The first construction progress is a floor construction progress situation predicted according to the actual current construction situation of the currently-performed construction floor depicted in the construction site image. And combining the construction site image and the construction sub BIM model, and carrying out construction progress similarity analysis to obtain a second construction progress. The second construction progress is the floor construction progress situation obtained by carrying out similar comparison on the actual site state of the current construction floor and the completed three-dimensional simulation state, namely the construction sub BIM model. Preferably, the first construction progress and the second construction progress are weighted according to a weight value preset by a person skilled in the art, and the construction progress obtained after the weighted calculation is used as a construction progress analysis result.
In the embodiment of the application, the floor structure is used as an index, the design data is searched, so that a plurality of structural data of a plurality of floors of a target building are obtained, the floors are clustered according to the plurality of structural data, and floors with the same structure are divided into one floor clustering result, so that a plurality of floor clustering results are obtained. Preferably, one piece of structure data is randomly extracted from the plurality of pieces of structure data to serve as first structure data, a first clustering node is configured according to the first structure data, then the plurality of pieces of structure data are input into the first clustering node to perform cosine similarity calculation, the structure data with cosine similarity meeting preset cosine similarity is added into a first clustering result of the first clustering node, and the structure data with cosine similarity not meeting preset cosine similarity is added into a first divided data set. And then randomly extracting one structural data from the first divided data set as second structural data, configuring a second hierarchical node according to the second structural data, inputting the first divided data set into the second hierarchical node for cosine similarity calculation, adding the structural data with the cosine similarity meeting the preset cosine similarity into a second hierarchical result of the second hierarchical node, and adding the structural data with the cosine similarity not meeting the preset cosine similarity into the second divided data set.
And obtaining an N clustering result and an N partitioned data set through N times of clustering. And taking the Nth divided data set as an N+1 clustering result, and further generating a plurality of floor clustering results according to the first clustering result, the second clustering result, the Nth clustering result and the N+1 clustering result. And further, according to the structure data of each of the plurality of floor clustering results, a plurality of sample site image sets and a plurality of sample first construction progress sets corresponding to different structures are called when the construction is actually performed. And then carrying out construction progress similarity evaluation according to the floor structure condition presented by the plurality of sample construction site image sets and the floor structure condition in the sub BIM model corresponding to the plurality of floor clustering results, thereby obtaining a plurality of sample second construction progress sets. And constructing and training a plurality of construction progress prediction branches by taking the plurality of sample construction site image sets and the plurality of sample first construction progress sets as training data to form a construction progress prediction path. Each construction progress prediction branch corresponds to one floor clustering result, is a branch for intelligently predicting the floor construction progress in the floor clustering result, inputs data into a construction site image, and outputs data into a first construction progress. Optionally, the training data is used for performing supervised training on a plurality of frameworks constructed based on the convolutional neural network until the output reaches convergence, so that a plurality of construction progress prediction branches after training is obtained, and the construction progress prediction paths are formed.
In one possible embodiment, a plurality of construction progress similarity analysis branches are constructed by taking a twin network as a basic framework, and each construction progress similarity analysis branch corresponds to one floor clustering result and is used for intelligently analyzing the similarity between a construction site image and a corresponding construction sub BIM model. Optionally, each construction progress similarity branch has two parallel input layers and a LOSS layer, the first input data is a construction site image, the second input data is a construction sub-BIM model, and similarity evaluation is performed on the two input data in the LOSS layer. And performing supervision training on the construction progress similarity analysis branches by utilizing the sub BIM models corresponding to the plurality of sample construction site image sets and the plurality of floor clustering results until the output reaches convergence, so as to obtain a construction progress similarity analysis path.
In one embodiment, the first construction progress is obtained by inputting construction site images into corresponding construction progress prediction branches in the construction progress prediction path for intelligent analysis. And inputting the construction site image and the construction sub BIM model into corresponding construction progress similarity analysis branches in the construction progress similarity analysis path to obtain a second construction progress. The intelligent first construction progress and the second construction progress are obtained, and the technical effect of improving the efficiency of progress analysis is achieved.
Step S300: and acquiring field images of a plurality of ending floors below the current construction floor according to a plurality of acquisition positions to obtain a plurality of ending field image sets, wherein the plurality of acquisition positions comprise a plurality of multiplexing construction materials.
In one embodiment of the application, the COMS camera is utilized to collect field images at a plurality of collecting positions of a plurality of ending floors below the current construction floor, so that a plurality of ending field image sets are obtained, each ending field image set corresponds to one ending floor, and the storage condition of a plurality of multiplexing construction materials of each ending floor is reflected. And each ending scene image set comprises pictures of a plurality of acquisition positions in the ending building layer acquired by the COMS camera. The ending floor is a floor where construction progress is completed and construction material cleaning is needed. The plurality of collection positions comprise a plurality of multiplexing construction materials, and each multiplexing construction material corresponds to one collection position. That is, each type of multiplex construction material is deposited at a location within the finishing floor, which is the collection location. The reusable construction material is a reusable material, including steel pipes, recycled bricks, recycled wood, and the like.
Step S400: and carrying out material multiplexing progress analysis based on a plurality of ending sub BIM models of the ending floors according to the plurality of ending scene image sets to obtain a plurality of material multiplexing progress analysis results.
Further, as shown in fig. 3, according to the plurality of ending scene image sets, based on a plurality of ending sub BIM models of the plurality of ending floors, a material multiplexing progress analysis is performed to obtain a plurality of material multiplexing progress analysis results, and step S400 in the embodiment of the present application further includes:
and clustering a plurality of floors of the target building to obtain a plurality of floor clustering results.
And collecting a plurality of sample ending scene image sets at the plurality of collecting positions in the plurality of floor clustering results, and carrying out material multiplexing degree analysis by combining a plurality of BIM submodels of the plurality of floor clustering results to obtain a plurality of sample material multiplexing progress analysis result sets.
And respectively adopting the plurality of sample ending field image sets and the plurality of sample material multiplexing progress analysis result sets, training and obtaining a plurality of material multiplexing analysis paths corresponding to the plurality of floor clustering results, wherein each material multiplexing analysis path comprises a plurality of material multiplexing analysis branches of a plurality of acquisition positions.
And acquiring floor clustering results corresponding to the ending floors, inputting the ending scene image sets into corresponding material multiplexing analysis paths, and acquiring a material multiplexing progress analysis result set of the floors.
Dividing and calculating the multi-storey material multiplexing progress analysis result set according to the multi-storey material multiplexing progress analysis result set to obtain multi-storey material multiplexing progress analysis results.
In an embodiment of the present application, a search is performed in the three-dimensional BIM model based on a plurality of ending floors, thereby obtaining a plurality of ending sub-BIM models. And carrying out material multiplexing progress analysis according to the plurality of ending site image sets and the plurality of ending sub BIM models, thereby obtaining a plurality of material multiplexing progress analysis results. The material multiplexing progress analysis results reflect the progress information of multiplexing treatment of each multiplexing construction material, such as the disassembling proportion of the supporting boards in the tail-collecting building layer, the degree of rust removal of the surface of the multiplexing steel pipe, and the like.
In one embodiment, after a plurality of floor clustering results are obtained, a plurality of sample ending site image sets are collected at the plurality of collecting positions in the plurality of floor clustering results, and a plurality of BIM submodels corresponding to the plurality of floor clustering results are combined, and a person skilled in the art determines the percentage of materials to be subjected to multiplexing processing according to comparison between each multiplexing construction material in the sample ending site image and the floor state in the corresponding BIM submodel, so as to obtain a plurality of sample material multiplexing progress analysis result sets.
Further, a plurality of sample ending site image sets and a plurality of sample material multiplexing progress analysis result sets are respectively adopted as training data, a plurality of material multiplexing analysis paths corresponding to a plurality of floor clustering results are obtained through training, and each material multiplexing analysis path comprises a plurality of material multiplexing analysis branches of a plurality of acquisition positions. Each material multiplexing analysis branch corresponds to a multiplexing material. The material multiplexing analysis branch is a network layer constructed by taking a convolutional neural network as a basic framework, input data are ending site images, and output data are floor material multiplexing analysis progress. And acquiring floor clustering results corresponding to the ending floors, inputting the ending scene image sets into corresponding material multiplexing analysis paths, and acquiring a material multiplexing progress analysis result set of the floors. The multi-storey material multiplexing progress analysis result set reflects material multiplexing progress conditions of a plurality of ending storeys below the current construction storey.
Dividing a plurality of storey material multiplexing progress analysis result sets by taking a plurality of multiplexing construction materials as indexes to obtain a plurality of storey material multiplexing progress analysis result sets corresponding to each multiplexing construction material, and carrying out multiplexing progress analysis of each multiplexing construction material based on the storey material multiplexing progress analysis result sets, so as to obtain a plurality of material multiplexing progress analysis results corresponding to the plurality of multiplexing construction materials. And then, according to the multiplexing progress analysis results of the materials of each multiplexing construction material on a plurality of ending floors, weighting calculation is carried out according to the height from the current construction floor, so as to obtain the multiplexing progress analysis results of the materials of each multiplexing construction, and further, the multiplexing progress analysis results of the materials are obtained. The weight value of each ending floor is a ratio of the distance from the ending floor to the current construction floor to the sum of the distances from a plurality of ending floors to the current construction floor.
Step S500: and carrying out the analysis of the use demand degrees of various construction materials according to the construction site image to obtain a plurality of analysis results of the use demand degrees, wherein the various construction materials and the various multiplexing construction materials are in one-to-one correspondence.
Further, according to the construction site image, performing analysis on the usage demand degrees of the plurality of construction materials to obtain a plurality of analysis results of the usage demand degrees, and step S500 in the embodiment of the present application further includes:
and collecting a sample construction site image set according to the floor clustering result corresponding to the current construction floor, and collecting a plurality of sample use demand degree analysis result sets, wherein each sample use demand degree analysis result set comprises a plurality of sample use demand degree analysis results of a plurality of construction materials.
And training and updating a material demand analysis channel comprising a plurality of material demand analysis branches corresponding to various construction materials by adopting the sample construction site image set and a plurality of sample use demand analysis result sets.
And respectively inputting the construction site images into the plurality of material demand analysis branches to obtain a plurality of using demand degree analysis results.
In one possible embodiment, the usage demand degree of the plurality of construction materials is determined according to the construction site image, and a plurality of usage demand degree analysis results are obtained. The plurality of the analysis results of the using demand degree are in one-to-one correspondence with a plurality of construction materials. The use demand degree reflects the shortage degree of construction materials of the current construction floor, and is the quantity of the construction materials reflected in the construction site image to be compared with the percentage of the quantity of the construction materials required by construction. And the construction materials are in one-to-one correspondence with the multiplexing construction materials.
In one possible embodiment, a sample construction site image set is collected according to the floor clustering result corresponding to the current construction floor, and a plurality of sample use requirement degree analysis result sets are collected, wherein each sample use requirement degree analysis result set comprises a plurality of sample use requirement degree analysis results of a plurality of construction materials. The method comprises the steps of training and updating material demand analysis channels comprising a plurality of material demand analysis branches corresponding to various construction materials by adopting a sample construction site image set and a plurality of sample use demand analysis result sets, wherein each material demand analysis channel is a network layer constructed based on a convolutional neural network, input data are construction site images, output data are use demand analysis results, and the material demand analysis channels are embedded in the material demand analysis branches. And respectively inputting the construction site images into the plurality of material demand analysis branches to obtain a plurality of using demand degree analysis results.
Step S600: and combining the multiple material multiplexing progress analysis results and the multiple usage demand degree analysis results, and calculating to obtain multiple material progress analysis results.
Further, in combination with the multiple material multiplexing progress analysis results and the multiple usage demand level analysis results, the calculating obtains multiple material progress analysis results, and step S600 in this embodiment of the present application further includes:
and calculating and obtaining a plurality of multiplexing coefficients according to the cost information of the plurality of construction materials.
And carrying out correction calculation on the multiple usage demand degree analysis results by adopting the multiple multiplexing coefficients to obtain multiple correction usage demand degree analysis results.
And calculating to obtain a plurality of material progress analysis results according to the plurality of corrected usage demand degree analysis results and the plurality of material multiplexing progress analysis results.
In one possible embodiment, the material progress analysis is performed according to the multiple material multiplexing progress analysis results and the multiple usage demand degree analysis results, and multiple material progress analysis results corresponding to multiple multiplexing materials are determined. The material progress analysis result is to integrate the progress that the materials of a plurality of ending floors below the current construction floor are restored to be in a reusable state and the material missing condition of the current construction floor, and determine the progress condition of the construction materials of the target building.
Optionally, the cost information of the plurality of construction materials, that is, the total cost required for each construction material to be used is calculated, and then the total cost required for the plurality of construction materials when the construction floor is currently constructed is calculated, and a plurality of multiplexing coefficients are obtained by calculating the ratio of the total cost of each construction material to the total cost. The multiplexing coefficient reflects the cost degree of construction materials during construction, and the higher the cost is, the larger the multiplexing coefficient is, the larger the corrected correction using demand degree analysis result is. And carrying out difference calculation according to the multiple corrected using demand degree analysis results and the multiple material multiplexing progress analysis results, so as to obtain multiple material progress analysis results. The material progress analysis results reflect the multiplexing progress of various construction materials in consideration of various multiplexing materials, and the material deletion degree required by the construction of the current construction floor is completed after the correction of the use demand degree is made up.
Step S700: and carrying out weighted correction calculation on the construction progress analysis results based on the plurality of material progress analysis results to obtain corrected construction progress analysis results, and generating a construction progress management scheme.
Further, based on the plurality of material progress analysis results, weighting correction calculation is performed on the construction progress analysis results to obtain corrected construction progress analysis results, and step S700 in the embodiment of the present application further includes:
and carrying out weight distribution according to the construction importance of the plurality of construction materials to obtain a plurality of material weights.
And weighting and calculating the plurality of material progress analysis results by adopting a plurality of material weights to obtain a total material progress analysis result.
And calculating to obtain a material correction coefficient according to the total material progress analysis result, and correcting and calculating the construction progress analysis result to obtain a corrected construction progress analysis result.
In one possible embodiment, the plurality of material progress analysis results are analysis of a material missing condition of a current construction floor, and the construction material missing affects a construction progress of the current construction floor, so that the weighting correction calculation is performed on the construction progress analysis results according to the plurality of material progress analysis results, and the obtained corrected construction progress analysis results can be more fit to an actual construction progress condition of a target building. And determining a corresponding construction progress management scheme according to the corrected progress analysis result. The construction progress management scheme is determined for guaranteeing reliable delivery of the building based on the current target building construction progress. Preferably, the framework constructed based on the convolutional neural network is supervised and trained by acquiring a plurality of sample correction progress analysis results and a plurality of sample construction progress management schemes as training data until the output reaches convergence, so that a progress management scheme identification network layer after training is completed is obtained. And inputting the corrected construction progress analysis result into the progress management scheme identification network layer for intelligent identification, and further outputting the construction progress management scheme.
In the embodiment of the application, the construction importance of a plurality of construction materials is determined by a person skilled in the art according to the structure of the current construction floor, and then weight distribution is performed according to the importance, so as to obtain a plurality of material weights. The higher the construction importance of the construction material, the greater the corresponding material weight. And weighting and calculating the plurality of material progress analysis results by utilizing the plurality of material weights to obtain a total material progress analysis result. And the material correction coefficient is the ratio of the total material progress analysis result to the total material progress analysis result when the material of the current construction floor is completely prepared. Multiplying the material correction coefficient by the construction progress analysis result, thereby obtaining a corrected construction progress analysis result.
In summary, the embodiments of the present application have at least the following technical effects:
the method and the system realize the aim of providing comparison basis for construction progress prediction and construction progress similarity analysis by constructing a three-dimensional BIM model of a target building, then obtain construction progress analysis results according to construction site images and a construction sub BIM model of a current construction floor, provide basis for material multiplexing progress analysis by acquiring a plurality of ending site image sets, then perform material multiplexing progress analysis, obtain a plurality of material multiplexing progress analysis results, obtain a plurality of use demand degree analysis results, then combine the plurality of material multiplexing progress analysis results and the plurality of use demand degree analysis results, calculate to obtain a plurality of material progress analysis results, perform weighted correction calculation on the construction progress analysis results based on the plurality of material progress analysis results, obtain corrected construction progress analysis results, and generate a construction progress management scheme. The construction progress of the building is reliably analyzed, so that the construction progress management is more attached to the actual construction condition, and the technical effect of accuracy of the progress management scheme is improved.
Example two
Based on the same inventive concept as the building construction progress management method based on the BIM in the foregoing embodiments, as shown in fig. 4, the present application provides a building construction progress management system based on the BIM, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the BIM model construction module 11 is configured to construct a three-dimensional BIM model of a target building based on design data of the target building currently being constructed, where the three-dimensional BIM model includes a plurality of sub-BIM models of a multi-storey building.
The progress analysis result obtaining module 12 is configured to collect a construction site image of a current construction floor, and combine a construction sub-BIM model of the current construction floor to perform construction progress prediction analysis and construction progress similarity analysis, so as to obtain a construction progress analysis result.
The field image set obtaining module 13 is configured to collect field images of a plurality of ending floors below a current construction floor according to a plurality of collection positions, and obtain a plurality of ending field image sets, where the plurality of collection positions include a plurality of multiplexing construction materials.
And the multiplexing progress analysis result obtaining module 14 is configured to perform material multiplexing progress analysis based on the plurality of ending sub-BIM models of the plurality of ending floors according to the plurality of ending scene image sets, so as to obtain a plurality of material multiplexing progress analysis results.
The demand degree analysis result obtaining module 15 is configured to perform a demand degree analysis on a plurality of construction materials according to the construction site image, so as to obtain a plurality of demand degree analysis results, where the plurality of construction materials and the plurality of multiplexing construction materials are in one-to-one correspondence.
And a material progress analysis result calculation module 16, configured to combine the multiple material multiplexing progress analysis results and the multiple usage demand degree analysis results, and calculate and obtain multiple material progress analysis results.
And a progress management scheme generation module 17, configured to perform weighted correction calculation on the construction progress analysis results based on the plurality of material progress analysis results, obtain corrected construction progress analysis results, and generate a construction progress management scheme.
Further, the progress analysis result obtaining module 12 is configured to perform the following steps:
and collecting a construction site image of the current construction floor.
And indexing in the three-dimensional BIM model based on the construction floor to obtain a construction sub BIM model of the current construction floor.
And carrying out construction progress prediction analysis on the construction site images to obtain a first construction progress, and carrying out construction progress similarity analysis by combining the construction site images and the construction sub BIM model to obtain a second construction progress.
And calculating and obtaining a construction progress analysis result according to the first construction progress and the second construction progress.
Further, the progress analysis result obtaining module 12 is configured to perform the following steps:
and clustering a plurality of floors of the target building to obtain a plurality of floor clustering results.
And collecting a plurality of sample construction site image sets and a plurality of sample first construction progress sets according to the plurality of floor clustering results, and carrying out construction progress similarity assessment by combining the plurality of sample construction site image sets and sub BIM models corresponding to the plurality of floor clustering results to obtain a plurality of sample second construction progress sets.
And constructing and training a plurality of construction progress prediction branches by adopting the plurality of sample construction site image sets and the plurality of sample first construction progress sets to form a construction progress prediction path.
Based on a twin network, constructing a plurality of construction progress similarity analysis branches, respectively training the construction progress similarity analysis branches by adopting the plurality of sample construction site image sets and sub BIM models corresponding to the plurality of floor clustering results, and forming a construction progress similarity analysis path.
And respectively carrying out construction progress prediction on the construction site image and construction progress similarity analysis on the construction site image and the construction sub BIM model by adopting the construction progress prediction path and the construction progress similarity analysis path to obtain a first construction progress and a second construction progress.
Further, the multiplexing progress analysis result obtaining module 14 is configured to perform the following steps:
and clustering a plurality of floors of the target building to obtain a plurality of floor clustering results.
And collecting a plurality of sample ending scene image sets at the plurality of collecting positions in the plurality of floor clustering results, and carrying out material multiplexing degree analysis by combining a plurality of BIM submodels of the plurality of floor clustering results to obtain a plurality of sample material multiplexing progress analysis result sets.
And respectively adopting the plurality of sample ending field image sets and the plurality of sample material multiplexing progress analysis result sets, training and obtaining a plurality of material multiplexing analysis paths corresponding to the plurality of floor clustering results, wherein each material multiplexing analysis path comprises a plurality of material multiplexing analysis branches of a plurality of acquisition positions.
And acquiring floor clustering results corresponding to the ending floors, inputting the ending scene image sets into corresponding material multiplexing analysis paths, and acquiring a material multiplexing progress analysis result set of the floors.
Dividing and calculating the multi-storey material multiplexing progress analysis result set according to the multi-storey material multiplexing progress analysis result set to obtain multi-storey material multiplexing progress analysis results.
Further, the desirability analysis result obtaining module 15 is configured to execute the following steps:
and collecting a sample construction site image set according to the floor clustering result corresponding to the current construction floor, and collecting a plurality of sample use demand degree analysis result sets, wherein each sample use demand degree analysis result set comprises a plurality of sample use demand degree analysis results of a plurality of construction materials.
And training and updating a material demand analysis channel comprising a plurality of material demand analysis branches corresponding to various construction materials by adopting the sample construction site image set and a plurality of sample use demand analysis result sets.
And respectively inputting the construction site images into the plurality of material demand analysis branches to obtain a plurality of using demand degree analysis results.
Further, the material progress analysis result calculation module 16 is configured to perform the following steps:
and calculating and obtaining a plurality of multiplexing coefficients according to the cost information of the plurality of construction materials.
And carrying out correction calculation on the multiple usage demand degree analysis results by adopting the multiple multiplexing coefficients to obtain multiple correction usage demand degree analysis results.
And calculating to obtain a plurality of material progress analysis results according to the plurality of corrected usage demand degree analysis results and the plurality of material multiplexing progress analysis results.
Further, the schedule management scheme generating module 17 is configured to perform the following steps:
and carrying out weight distribution according to the construction importance of the plurality of construction materials to obtain a plurality of material weights.
And weighting and calculating the plurality of material progress analysis results by adopting a plurality of material weights to obtain a total material progress analysis result.
And calculating to obtain a material correction coefficient according to the total material progress analysis result, and correcting and calculating the construction progress analysis result to obtain a corrected construction progress analysis result.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (3)
1. A building construction progress management method based on BIM, the method comprising:
constructing a three-dimensional BIM model of a target building based on design data of the target building which is currently constructed, wherein the three-dimensional BIM model comprises a plurality of sub-BIM models of a multi-storey building;
collecting a construction site image of a current construction floor, and carrying out construction progress prediction analysis and construction progress similarity analysis by combining a construction sub BIM model of the current construction floor to obtain a construction progress analysis result;
Acquiring field images of a plurality of ending floors below a current construction floor according to a plurality of acquisition positions to obtain a plurality of ending field image sets, wherein the plurality of acquisition positions comprise a plurality of multiplexing construction materials, the ending floors are floors on which construction progress is completed and construction material clearance is required, and the multiplexing construction materials are recycled materials comprising steel pipes, regeneration bricks and regeneration timber;
according to the plurality of ending scene image sets, carrying out material multiplexing progress analysis based on a plurality of ending sub BIM models of the plurality of ending floors to obtain a plurality of material multiplexing progress analysis results;
according to the construction site image, carrying out analysis on the use demand degrees of various construction materials to obtain a plurality of analysis results of the use demand degrees, wherein the various construction materials are in one-to-one correspondence with the various multiplexing construction materials;
combining the multiple material multiplexing progress analysis results and the multiple usage demand degree analysis results, and calculating to obtain multiple material progress analysis results;
based on the plurality of material progress analysis results, carrying out weighted correction calculation on the construction progress analysis results to obtain corrected construction progress analysis results, and generating a construction progress management scheme;
Collecting a construction site image of a current construction floor, and combining a sub BIM model of the current construction floor to perform construction progress prediction analysis and construction progress similarity analysis, wherein the construction site image comprises the following components:
collecting a construction site image of a current construction floor;
indexing in the three-dimensional BIM model based on the construction floor to obtain a construction sub BIM model of the current construction floor;
performing construction progress prediction analysis on the construction site image to obtain a first construction progress, and performing construction progress similarity analysis by combining the construction site image and a construction sub BIM model to obtain a second construction progress;
calculating to obtain a construction progress analysis result according to the first construction progress and the second construction progress;
performing construction progress prediction analysis on the construction site image to obtain a first construction progress, and performing construction progress similarity analysis by combining the construction site image and a construction sub BIM model to obtain a second construction progress, wherein the construction progress prediction analysis comprises the following steps:
clustering a plurality of floors of a target building to obtain a plurality of floor clustering results;
collecting a plurality of sample construction site image sets and a plurality of sample first construction progress sets according to a plurality of floor clustering results, and carrying out construction progress similarity assessment by combining the plurality of sample construction site image sets and sub BIM models corresponding to the plurality of floor clustering results to obtain a plurality of sample second construction progress sets;
Constructing and training a plurality of construction progress prediction branches by adopting the plurality of sample construction site image sets and a plurality of sample first construction progress sets to form a construction progress prediction path;
constructing a plurality of construction progress similarity analysis branches based on a twin network, and training the construction progress similarity analysis branches by adopting the plurality of sample construction site image sets and sub BIM models corresponding to the plurality of floor clustering results to form a construction progress similarity analysis path;
respectively carrying out construction progress prediction on the construction site image and construction progress similarity analysis on the construction site image and a construction sub BIM model by adopting the construction progress prediction path and the construction progress similarity analysis path to obtain a first construction progress and a second construction progress;
based on the plurality of material progress analysis results, performing weighted correction calculation on the construction progress analysis results to obtain corrected construction progress analysis results, including:
weight distribution is carried out according to the construction importance of the plurality of construction materials, so that a plurality of material weights are obtained;
weighting calculation is carried out on the plurality of material progress analysis results by adopting a plurality of material weights, and a total material progress analysis result is obtained;
Calculating to obtain a material correction coefficient according to the total material progress analysis result, and correcting and calculating the construction progress analysis result to obtain a corrected construction progress analysis result;
the generating a construction progress management scheme includes: the method comprises the steps of performing supervision training on a framework constructed based on a convolutional neural network by acquiring a plurality of sample correction progress analysis results and a plurality of sample construction progress management schemes as training data until output reaches convergence, so as to acquire a progress management scheme identification network layer after training is completed, inputting the correction construction progress analysis results into the progress management scheme identification network layer for intelligent identification, and further outputting the construction progress management scheme;
according to the plurality of ending scene image sets, based on a plurality of ending sub-BIM models of the plurality of ending floors, carrying out material multiplexing progress analysis to obtain a plurality of material multiplexing progress analysis results, wherein the method comprises the following steps:
clustering a plurality of floors of a target building to obtain a plurality of floor clustering results;
collecting a plurality of sample ending scene image sets at the plurality of collecting positions in the plurality of floor clustering results, and carrying out material multiplexing degree analysis by combining a plurality of BIM submodels of the plurality of floor clustering results to obtain a plurality of sample material multiplexing progress analysis result sets;
Respectively adopting the plurality of sample ending scene image sets and a plurality of sample material multiplexing progress analysis result sets, training to obtain a plurality of material multiplexing analysis paths corresponding to a plurality of floor clustering results, wherein each material multiplexing analysis path comprises a plurality of material multiplexing analysis branches at a plurality of acquisition positions, each material multiplexing analysis branch is a network layer constructed by taking a convolutional neural network as a basic frame, input data is an ending scene image, and output data is a floor material multiplexing analysis progress;
acquiring floor clustering results corresponding to a plurality of ending floors, inputting a plurality of ending scene image sets into corresponding material multiplexing analysis paths, and acquiring a plurality of floor material multiplexing progress analysis result sets;
dividing and calculating the multi-storey material multiplexing progress analysis result set according to the multi-storey material multiplexing progress analysis result set to obtain a plurality of material multiplexing progress analysis results;
according to the construction site image, carrying out the analysis of the use demand degrees of various construction materials to obtain a plurality of analysis results of the use demand degrees, wherein the analysis results comprise:
collecting a sample construction site image set according to the floor clustering result corresponding to the current construction floor, and collecting a plurality of sample use demand analysis result sets, wherein each sample use demand analysis result set comprises a plurality of sample use demand analysis results of a plurality of construction materials;
Training and updating a material demand analysis channel comprising a plurality of material demand analysis branches corresponding to various construction materials by adopting the sample construction site image set and a plurality of sample use demand analysis result sets, wherein the material demand analysis channel is a network layer constructed based on a convolutional neural network, input data are construction site images, output data are use demand analysis results, and the material demand analysis channel is embedded in the material demand analysis branches;
and respectively inputting the construction site images into the plurality of material demand analysis branches to obtain a plurality of analysis results of the use demand degree, wherein the use demand degree is the percentage of the construction material quantity required by construction compared with the construction material quantity reflected in the construction site images.
2. The method of claim 1, wherein computing a plurality of material progress analysis results in combination with the plurality of material multiplexing progress analysis results and a plurality of usage demand level analysis results comprises:
calculating to obtain a plurality of multiplexing coefficients according to the cost information of the plurality of construction materials;
carrying out correction calculation on the multiple usage demand degree analysis results by adopting the multiple multiplexing coefficients to obtain multiple correction usage demand degree analysis results;
And calculating to obtain a plurality of material progress analysis results according to the plurality of corrected usage demand degree analysis results and the plurality of material multiplexing progress analysis results.
3. A building construction progress management system based on BIM, wherein the system performs the method of any one of claims 1-2, the system comprising:
the BIM model building module is used for building a three-dimensional BIM model of the target building based on design data of the target building which is currently constructed, wherein the three-dimensional BIM model comprises a plurality of sub-BIM models of the multi-storey building;
the progress analysis result obtaining module is used for collecting construction site images of the current construction floor, and carrying out construction progress prediction analysis and construction progress similarity analysis by combining a construction sub BIM model of the current construction floor to obtain construction progress analysis results;
the system comprises a field image set acquisition module, a construction material collection module and a construction material collection module, wherein the field image set acquisition module is used for acquiring field images of a plurality of ending floors below a current construction floor according to a plurality of acquisition positions to acquire a plurality of ending field image sets, and the plurality of acquisition positions comprise a plurality of multiplexing construction materials;
the multiplexing progress analysis result obtaining module is used for carrying out material multiplexing progress analysis based on a plurality of ending sub BIM models of the ending floors according to the plurality of ending scene image sets to obtain a plurality of material multiplexing progress analysis results;
The demand analysis result obtaining module is used for carrying out the demand analysis of a plurality of construction materials according to the construction site image to obtain a plurality of demand analysis results, wherein the construction materials are in one-to-one correspondence with the multiplexing construction materials;
the material progress analysis result calculation module is used for combining the plurality of material multiplexing progress analysis results and the plurality of using demand degree analysis results to calculate and obtain a plurality of material progress analysis results;
and the progress management scheme generation module is used for carrying out weighted correction calculation on the construction progress analysis results based on the plurality of material progress analysis results to obtain corrected construction progress analysis results and generating a construction progress management scheme.
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