CN113158292A - Component matching method, engineering quantity calculation method, device and electronic equipment - Google Patents

Component matching method, engineering quantity calculation method, device and electronic equipment Download PDF

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CN113158292A
CN113158292A CN202110231927.6A CN202110231927A CN113158292A CN 113158292 A CN113158292 A CN 113158292A CN 202110231927 A CN202110231927 A CN 202110231927A CN 113158292 A CN113158292 A CN 113158292A
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target
attributes
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attribute
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曹志颖
张红敏
李永强
丁成晨
史学峰
秦臻
祝华平
李新乐
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Glodon Co Ltd
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Abstract

The invention relates to the technical field of construction engineering quantity calculation, in particular to a component matching method, an engineering quantity calculation method, a device and electronic equipment, wherein the component matching method comprises the steps of obtaining a target building model; analyzing the target building model to obtain the attributes of the members to be matched of the target graphic elements; and inputting the attributes of the members to be matched into a preset matching model, and determining the attributes of the target members corresponding to the attributes of the members to be matched, wherein the attributes of the target members are attribute information directly used for calculating the engineering quantity of the target building model. The preset matching model is utilized to match the attributes of the members to be matched into the attributes of the target members which can be directly used for calculating the engineering quantity, so that the subsequent engineering quantity can be calculated by directly utilizing the target building model, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of the subsequent engineering quantity calculation is improved.

Description

Component matching method, engineering quantity calculation method, device and electronic equipment
Technical Field
The invention relates to the technical field of construction engineering quantity calculation, in particular to a component matching method, an engineering quantity calculation method, a device and electronic equipment.
Background
The construction cost is the core content of the cost investment and the cost control of the construction project, and the effective management of the construction cost is not only related to the success or failure of the project, but also directly related to the operational benefits of construction enterprises. Meanwhile, the calculation of the engineering quantity is the foundation of the engineering cost, and the calculation result of the engineering quantity is the most key content of the engineering cost and plays an important role in the construction cost.
The current engineering quantity calculation modes can be divided into the following two types: (1) calculating the quantity according to the traditional manual operation of a construction drawing; specifically, the calculation sequence of each part and project is determined, and the calculator is used for assisting calculation according to the drawing, the calculation rule and the specific calculation sequence, so that the engineering quantity is gradually summarized and calculated. However, the limitation of manual calculation has the problems of low working efficiency, easy occurrence of errors and omissions, low metering fineness and the like. (2) Gradually establishing a model by using computation software or importing and then modifying the three-dimensional BIM model to perform computation; specifically, modeling is performed again in the computation software, or a three-dimensional BIM model is introduced and then modified, and the like. In the engineering quantity calculation mode, modeling needs to be performed again, wherein problems of large repeated modeling workload, large difficulty in creating complex modeling and the like are caused along with the larger and more large building quantity and the more and more complex modeling, so that the efficiency of engineering quantity calculation is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a component matching method, a method and an apparatus for calculating engineering quantity, and an electronic device, so as to solve the problem in the prior art that the efficiency of engineering quantity calculation is low.
According to a first aspect, embodiments of the present invention provide a component matching method, the method comprising:
obtaining a target building model;
analyzing the target building model to obtain the attributes of the members to be matched of the target graphic elements;
and inputting the attributes of the members to be matched into a preset matching model, and determining the attributes of the target members corresponding to the attributes of the members to be matched, wherein the attributes of the target members are attribute information directly used for calculating the engineering quantity of the target building model.
According to the component matching method provided by the embodiment of the invention, the target component attribute is matched with the component attribute to be matched by using the preset matching model, and the target component attribute can be directly used for attribute information of subsequent engineering quantity calculation. The method has the advantages that the preset matching model is utilized to match the attributes of the members to be matched into the attribute information which can be directly used for calculating the engineering quantity, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of calculating the subsequent engineering quantity is improved.
With reference to the first aspect, in a first implementation manner of the first aspect, the inputting the component attribute to be matched into a preset matching model, and determining a target component attribute corresponding to the component attribute to be matched includes:
extracting field features of the attributes of the members to be matched;
and performing text prediction based on the extracted field characteristics to obtain the target component attribute.
According to the component matching method provided by the embodiment of the invention, the target component attribute corresponding to the component attribute to be matched is obtained by respectively extracting the field characteristics and predicting the text of each component attribute to be matched, namely, the accuracy of the obtained target component attribute is ensured by utilizing the high-precision prediction characteristic of deep learning, and reliable guarantee is provided for subsequent high-accuracy engineering quantity calculation.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the extracting field features of the component attribute to be matched includes:
judging whether the attributes of the components to be matched have at least two material attributes of the components;
and when the component attributes to be matched have at least two component material attributes, extracting the field features according to the component material attributes.
According to the component matching method provided by the embodiment of the invention, the field characteristics of the component attributes to be matched are extracted in a layered mode, namely, the field characteristics are extracted according to different component material attributes, so that the field characteristics corresponding to different component types and the component material attributes in the target primitive are obtained, and the accuracy of the target component attributes corresponding to the target primitive is improved.
With reference to the first aspect, or the first implementation manner of the first aspect, or the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the analyzing the target building model to obtain the attribute of the to-be-matched member of the target primitive includes:
analyzing the target building model to obtain floor information in the target building model, wherein the floor information comprises attributes of members to be matched of primitives in each floor;
and determining the attributes of the members to be matched of the target primitives based on the floor information in the target building model.
The component matching method provided by the embodiment of the invention determines the attributes of the components to be matched of the target primitives according to the floor information, thereby avoiding the matching of all the floor information and improving the component matching efficiency.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the inputting the component attribute to be matched into a preset matching model, and determining a target component attribute corresponding to the component attribute to be matched includes:
inputting the attributes of the components to be matched into a preset matching model to obtain the attributes of the predicted components;
and acquiring modification information of the preset component attribute, and determining the target component attribute.
According to the component matching method provided by the embodiment of the invention, after the preset matching model outputs the predicted component attribute, the modification information of the user on the predicted component attribute is acquired, so that the accuracy of the obtained target component attribute is improved.
With reference to the first aspect, in a fifth implementation manner of the first aspect, the inputting the component attribute to be matched into a preset matching model, and determining a target component attribute corresponding to the component attribute to be matched further includes:
acquiring a target region corresponding to the target building model;
and determining a corresponding preset matching model based on the target region.
According to the component matching method provided by the embodiment of the invention, the target component attribute is determined by using the preset matching model corresponding to the target region, so that the difference of the component type and the component material type caused by the difference of the calculation amount rules of different regions can be avoided, and the accuracy of component attribute matching is improved.
With reference to the first aspect, in a sixth implementation manner of the first aspect, the training of the preset matching model includes:
acquiring a sample component attribute and a matching component attribute which is directly used for engineering quantity calculation and corresponds to the sample component attribute;
inputting the sample component attribute into a preset matching model, and determining a predicted sample component attribute corresponding to the sample component attribute;
updating parameters of the predicted matching model based on the matching component attributes and the predicted sample component attributes to determine the preset matching model.
With reference to the sixth implementation manner of the first aspect, in the seventh implementation manner of the first aspect, the obtaining of the sample component attribute and the matching component attribute corresponding to the sample component attribute and directly used for engineering quantity calculation includes:
the method comprises the steps of obtaining at least one sample component attribute of a region and a matching component attribute which is directly used for engineering quantity calculation and corresponds to the sample component attribute so as to determine a preset matching model corresponding to the region.
According to the component matching method provided by the embodiment of the invention, at least one sample component attribute of the region and the corresponding target component attribute directly used for engineering quantity calculation are obtained, and then a prediction matching model corresponding to the region can be obtained through training.
According to a second aspect, an embodiment of the present invention further provides an engineering quantity calculation method, where the method includes:
according to the first aspect of the present invention or the component matching method described in any embodiment of the first aspect, a target component attribute corresponding to a component attribute to be matched of a target primitive in the target building model is determined;
calculating the engineering quantity of the target building model based on the target component attribute.
According to the engineering quantity calculation method provided by the embodiment of the invention, the target component attribute is matched with the component attribute to be matched by using the preset matching model, and the target component attribute can be directly used for attribute information of subsequent engineering quantity calculation. The method has the advantages that the preset matching model is utilized to match the attributes of the members to be matched into the attribute information which can be directly used for calculating the engineering quantity, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of calculating the engineering quantity is improved.
According to a third aspect, embodiments of the present invention also provide a component matching apparatus, the apparatus including:
the acquisition module is used for acquiring a target building model;
the analysis module is used for analyzing the target building model to obtain the attributes of the members to be matched of the target graphic primitives;
the first determining module is used for inputting the attributes of the members to be matched into a preset matching model and determining the attributes of the target members corresponding to the attributes of the members to be matched, wherein the attributes of the target members are attribute information directly used for calculating the engineering quantity of the target building model.
The component matching device provided by the embodiment of the invention matches the target component attribute of the component to be matched by using the preset matching model, and the target component attribute can be directly used for attribute information of subsequent engineering quantity calculation. The method has the advantages that the preset matching model is utilized to match the attributes of the members to be matched into the attribute information which can be directly used for calculating the engineering quantity, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of calculating the subsequent engineering quantity is improved.
According to a fourth aspect, an embodiment of the present invention further provides an engineering quantity calculation apparatus, including:
a second determining module, configured to determine, according to the first aspect of the present invention or the component matching method described in any embodiment of the first aspect, a target component attribute corresponding to a component attribute to be matched of a target primitive in the target building model;
and the calculation module is used for calculating the engineering quantity of the target building model based on the target component attribute.
According to the engineering quantity calculation device provided by the embodiment of the invention, the preset matching model is utilized to match the attributes of the member to be matched into the attribute information which can be directly used for engineering quantity calculation, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of engineering quantity calculation is improved.
According to a fifth aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, and the processor executing the computer instructions to perform the component matching method according to the first aspect or any one of the embodiments of the first aspect, or to perform the engineering calculation method according to the second aspect.
According to a sixth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the component matching method described in the first aspect or any one of the embodiments of the first aspect, or execute the engineering quantity calculation method described in the second aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a component matching method according to an embodiment of the invention;
FIG. 2 is a flow chart of a component matching method according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a pre-set matching model according to an embodiment of the invention;
FIG. 4 is an interface schematic of floor information resolution according to an embodiment of the invention;
FIG. 5 is an interface schematic of component attributes corresponding to floor information according to an embodiment of the invention;
FIG. 6a is a schematic illustration of a validation interface for predicting component properties according to an embodiment of the invention;
FIG. 6b is a schematic view of a floor selection interface according to an embodiment of the present invention;
FIG. 7 is a flow chart of a component matching method according to an embodiment of the invention;
FIG. 8 is a flow chart of a method of engineering calculation according to an embodiment of the present invention;
FIG. 9 is a block diagram of a component matching apparatus according to an embodiment of the present invention;
FIG. 10 is a block diagram of an engineering quantity calculation apparatus according to an embodiment of the present invention;
fig. 11 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the calculation of the engineering quantity is realized by using the computation software, and because the expression of the component type and the component material attribute in the computation software is different from that in the modeling software, the BIM model built by using the modeling software is not compatible when being directly applied to the computation software. To solve this problem, it is common in the prior art to perform modeling anew in the computation software, or to modify the BIM model again after the BIM model is introduced into the computation software, or the like. However, these approaches result in inefficient engineering calculations due to the re-building of the model involved.
Based on this, the embodiment of the invention provides a component matching method, after a building model is imported into computational software, electronic equipment automatically performs matching conversion on the attributes of components to be matched of target primitives in the building model, so as to obtain the attributes of the target components which can be directly used for engineering quantity calculation. For example, if a window is represented as a in the BIM model and B in the computation software, which can be used directly for the engineering computation, then a match needs to be converted to B. Among them, details about a specific member matching method will be described below.
In accordance with an embodiment of the present invention, there is provided a component matching method embodiment, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, a component matching method is provided, which can be used in the above-mentioned electronic devices, such as a computer, a mobile phone, a tablet computer, etc., fig. 1 is a flowchart of the component matching method according to the embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
and S11, acquiring the target building model.
The target building model is a building model for calculating the engineering quantity, and the target building model can be stored in the electronic equipment in advance or can be imported into the electronic equipment in real time when needed. The target building model may be a format file such as RVT or IFC. For example, the electronic device provides a file import interface for providing a user with the option to upload a target building model for which computation calculations are desired.
And S12, analyzing the target building model to obtain the attributes of the members to be matched of the target primitives.
The electronic equipment analyzes the target building model after acquiring the target building model, determines each primitive in the target building model by a method of identifying keywords of the target building model, and extracts the component attribute of each primitive to obtain the component attribute to be matched of each primitive.
The electronic device may perform matching conversion on component attributes of a certain primitive, or perform matching conversion on component attributes of some primitives, and the like, and may specifically perform corresponding setting according to actual situations. In this embodiment, the primitive that needs to perform matching transformation on the component attributes is referred to as a target primitive.
Specifically, the electronic device analyzes the target building model to obtain the attributes of the members to be matched of the target primitives in the target building model. The component property to be matched may be a component type, a component material property, a component name, or the like, and the component material property is used to indicate a material corresponding to the component type. For example, the target primitive 1 has component types a1, a2, A3 and a4, and the component material attributes corresponding to the component types B1, B2, B3 and B4; the target primitive 2 has component types A5 and A6, and the component material attributes for each component type B5 and B6, and so on.
Optionally, in order to ensure the efficiency of component matching, the electronic device may further parse the floor information of the target building model to perform batch processing of the target primitives on the same floor. Further optionally, to ensure calculation of subsequent engineering quantities, the electronic device may further analyze the floor height and floor elevation information of each floor.
And S13, inputting the attributes of the component to be matched into a preset matching model, and determining the attributes of the target component corresponding to the attributes of the component to be matched.
Wherein the target component attribute is attribute information directly used for engineering quantity calculation of the target building model.
After obtaining the attributes of the to-be-matched members of the target primitive in S12, the electronic device may directly input the attributes of the to-be-matched members into the preset matching model, and determine the attributes of the target members corresponding to the attributes of the to-be-matched members. Specifically, the input of the preset matching model is the attribute of the component to be matched, and the output is the matched attribute of the target component. That is, the input may be the component type and component material attributes of the target primitive, e.g., name, material (wall, beam, panel, column, door, window), and the output is the representation of the component type and component material attributes in the computation software. The specific model structure of the preset matching model is not limited at all, and may be set according to actual conditions.
The attribute information directly used for the engineering quantity calculation of the target building model can be understood as attribute information which can be identified by the calculation quantity software and does not need to be converted again. And associating the attributes of the components to be matched with the attributes of the target components through intelligent matching by using the preset matching model, and determining the attributes of the target components corresponding to the attributes of the components to be matched.
It should be noted that the input data into the preset matching model may be the attributes of the members to be matched of all the primitives in the target building model, or the attributes of the members to be matched of one or some of the primitives selected by the user, and the like, where the data input into the preset matching model is not limited at all, and may specifically be input according to the requirements.
In the component matching method provided by this embodiment, the preset matching model is used to match the target component attribute of the component to be matched, where the target component attribute is attribute information that can be directly used for subsequent engineering quantity calculation. The method has the advantages that the preset matching model is utilized to match the attributes of the members to be matched into the attribute information which can be directly used for calculating the engineering quantity, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of calculating the subsequent engineering quantity is improved.
In this embodiment, a component matching method is provided, which can be used in the above-mentioned electronic devices, such as a computer, a mobile phone, a tablet computer, etc., fig. 2 is a flowchart of the component matching method according to the embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
and S21, acquiring the target building model.
Please refer to S11 in fig. 1, which is not described herein again.
And S22, analyzing the target building model to obtain the attributes of the members to be matched of the target primitives.
The attributes of the members to be matched of the target primitives can be sequentially performed on all the primitives in the target building model, and can also be performed on different floors.
For example, as shown in fig. 3, the electronic device analyzes the target building model to obtain floor information of each floor in the target building model, and then obtains the attributes of the members to be matched of the target primitives from the floor information. Fig. 3 is merely an example of the floor information, and it is also possible to specifically parse or show which information is set according to actual needs. The processing procedure of the preset matching model is described in detail in this embodiment.
In some optional implementations of this embodiment, the step S22 may include the following steps:
(1) and analyzing the target building model to obtain the floor information in the target building model.
And the floor information comprises attributes of the members to be matched of the primitives in each floor.
The electronic equipment can identify keywords of the target building model, determine each floor in the target building model, and extract floor information of each floor after each floor is determined. The floor information may include each primitive in the floor and component attributes of the primitive, and may further include elevation, height, and the like of the floor.
(2) And determining the attributes of the members to be matched of the target primitives based on the floor information in the target building model.
And after the floor information in the target building model is obtained, extracting the component attributes of the target primitive, and determining the component attributes to be matched of the target primitive.
For example, the electronic device may extract primitive information of each primitive in each floor information, where the primitive information includes a component type and a component material attribute corresponding to the primitive.
Please refer to S12 in the embodiment shown in fig. 1 for the remaining detailed steps, which are not described herein again.
And S23, inputting the attributes of the component to be matched into a preset matching model, and determining the attributes of the target component corresponding to the attributes of the component to be matched.
Wherein the target component attribute is information directly used for engineering quantity calculation of the target building model.
Whether the data input into the preset matching model is the floor information of all floors, or certain floor information, or the component attribute of a certain primitive, the preset matching model is processed aiming at the component attribute to be matched of each primitive in each floor information during internal processing.
For example, the floor information of a certain floor is input into the preset matching model, and the floor information includes attributes of the members to be matched of 4 primitives, so that the preset matching model performs matching conversion on the attributes of the members to be matched in sequence. Namely, when the floor information is input into the preset matching model, the preset matching model sequentially extracts the attributes of the members to be matched of each primitive in the floor information, and the target member attributes corresponding to the attributes of the members to be matched of each primitive are obtained.
Specifically, the step S23 includes the following steps:
and S231, extracting field features of the attributes of the component to be matched.
After the electronic equipment extracts the attributes of the components to be matched of the target graphic primitive, extracting the field characteristics of the attributes of the components to be matched. For example, the structure of the preset matching model employed in the present embodiment is shown in fig. 4. The model is used for intelligently identifying and associating the attribute information of the user uploading model in the same language or in a cross-language manner through a field matching technology, so that the component attributes in the BIM model can be accurately and intelligently matched.
The model generates the prediction text by a field matching method, and mainly comprises two stages of feature extraction mapping and text matching, although different languages have different grammatical structures and expression rules, semantic spaces of the languages often have similarity, so that a non-linear mapping relation can be realized by using high-dimensional feature spaces of text semantics.
For example, the preset matching model in the embodiment is established based on the ESIM algorithm, the algorithm has high precision and short global legs, and the related fields are decomposed into a word vector format for feature learning, which is more beneficial to fast self-learning of the algorithm. As shown in fig. 4, the attributes of the members to be matched are the types of the members and the material attributes of the members, for example, the types of the members including the building model, and the types of the members such as the wall, the beam, the plate, the column, the door and window, the foundation, etc. are input; and the material property fields of the components such as cast-in-place concrete, precast concrete, masonry, bricks, stones, glass and the like.
And after the field characteristics of the attributes of each component to be matched are extracted, performing characteristic coding on the field characteristics. For example, LTSM feature extraction coding is adopted, that is, a two-layer time-series neural network is called to perform learning and feature coding on an input word vector, and feature hidden values are recorded according to a time series.
In some optional implementations of this embodiment, if the target primitive is a merged primitive, it needs to be hierarchically extracted. For RVT model components, for example, different components made of multiple layers of materials may be added to the structure of a wall primitive, and thus intelligent layered extraction of different component installation materials is required. For example, as shown in fig. 5, for the floor.a-floor surface layer-30, which is a combination of three layers of materials, it is necessary to extract the field features for each layer of material attributes.
Specifically, the step S232 may further include the steps of:
(1) and judging whether the attributes of the components to be matched have at least two material attributes of the components.
For example, as shown in FIG. 5, the electronic device may determine for a field of a component material attribute of the target primitive. When the target graphic element has at least two component material attributes, executing the step (2); otherwise, directly extracting the field characteristics of the attributes of the members to be matched of the target graphic primitive.
(2) And extracting field characteristics according to the material attributes of the components.
And the electronic equipment respectively extracts the field characteristics of the material attributes of each component of the target primitive and performs subsequent matching conversion.
By extracting the field features of the component attributes to be matched in a layered mode, namely extracting the field features according to different component material attributes, the field features corresponding to different component types and the component material attributes in the target primitive are obtained, and the accuracy of the target component attributes corresponding to the target primitive is improved.
And S232, text prediction is carried out based on the extracted field characteristics, and the target component attribute is obtained.
Referring to fig. 4, after the field features of the attributes of the to-be-matched component are extracted in S231, a local inference step is performed, in which an attention model is mainly used, and the difference calculation analysis is mainly performed on the encoded feature values. The attention machine model is constructed to simulate human attention, high-value information is screened out from a large amount of information, the high-value information is mainly used for assisting in receiving and screening feature vectors output by the LSTM, and similarity matrixes and differences of two short texts are further calculated.
Further, after local reasoning, global reasoning is performed on the local reasoning, that is, global information is synthesized to perform reasoning synthesis on the features. Extracting context connection semantic information through the LSTM, and performing five-overlapping combination on all sub-areas in input features, namely splicing the features by adopting maximum pooling and average pooling to form complete semantic association.
And finally, performing text speculation prediction on the basis of global reasoning to obtain a target component attribute corresponding to the component attribute to be matched of the target primitive. Specifically, the obtained pooled semantic features are transmitted to a full connection layer and received by a classification function softmax, an activation function sigmoid is called to realize nonlinear mapping and classification in a multidimensional space, and a final predicted value is displayed in a form of a matching field.
Fig. 5 shows the corresponding expressions of the component type and the component material property before and after matching. Wherein, the first column in the left frame of fig. 5 represents the floor, and the third column represents the component material property in the floor information; the first column in the right frame of fig. 5 represents the thickness of the floor, the second column represents the matched component type, and the third column represents the matched component material property.
After the electronic device sequentially performs the above-mentioned repeated processing of S231-S232 on each target primitive, the target component attributes corresponding to the component attributes to be matched of all the target primitives can be determined.
According to the component matching method provided by the embodiment, the field features of each component attribute to be matched are extracted and the text prediction is performed, so that the target component attribute corresponding to the component attribute to be matched is obtained, namely, the accuracy of the obtained target component attribute is ensured by using the high-precision prediction characteristic of deep learning, and reliable guarantee is provided for subsequent high-accuracy engineering quantity calculation.
In this embodiment, a component matching method is provided, which can be used in the above-mentioned electronic devices, such as a computer, a mobile phone, a tablet computer, etc., fig. 7 is a flowchart of the component matching method according to the embodiment of the present invention, and as shown in fig. 7, the flowchart includes the following steps:
and S31, acquiring the target building model.
Please refer to S21 in fig. 2 for details, which are not described herein.
And S32, analyzing the target building model to obtain the attributes of the members to be matched of the target primitives.
Please refer to S22 in fig. 2 for details, which are not described herein.
And S33, inputting the attributes of the component to be matched into a preset matching model, and determining the attributes of the target component corresponding to the attributes of the component to be matched.
Wherein the target component attribute is information directly used for engineering quantity calculation of the target building model.
Specifically, the step S33 includes the following steps:
and S331, inputting the attribute of the component to be matched into a preset matching model to obtain the attribute of the predicted component.
For example, the electronic device may perform matching conversion of the component attributes according to the primitives of each floor, that is, when the electronic device determines that the target floor information is input into the preset matching model, the output of the preset matching model is the target component attribute corresponding to each primitive in the target floor information.
In some optional implementations of this embodiment, the determining manner of the target floor may include the following steps:
(1) a floor selection interface is provided.
After analyzing the target building model in S32 to obtain the floor information of each floor in the target building model, the electronic device may provide a floor selection interface as shown in fig. 6b for the user to select the corresponding floor for subsequent processing.
(2) And responding to the selection operation of the floor selection interface to determine target floor information input into the preset matching model.
The user performs a selection operation on the interface shown in fig. 6b, and accordingly, the electronic device determines the target floor information input into the preset matching model in response to the selection operation of the user. Wherein, the user can select one floor, two floors or a plurality of floors according to the actual requirement. Please refer to the corresponding description in S23 in the embodiment shown in fig. 2 for a specific processing manner of the preset matching model, which is not described herein again.
In an optional implementation manner of this embodiment, the corresponding preset matching model may also be determined according to a target area corresponding to the target building model. Namely, the following steps may be included:
(1) and acquiring a target region corresponding to the target building model.
The electronic device can identify keywords related to regions in the target building model, and determine a target region corresponding to the target building model.
(2) And determining a corresponding preset matching model based on the target region.
The preset matching models corresponding to the regions may be stored in the electronic device. After the target region is determined, a preset matching model corresponding to the target region is extracted, and target floor information is input into the preset matching model corresponding to the target region.
The target component attribute is determined by using the preset matching model corresponding to the target region, so that the difference of component types and component material types caused by different calculation rules of different regions can be avoided, and the component matching accuracy is improved.
S332, acquiring modification information of the predicted component attribute, and determining the target component attribute.
The modification information of the predicted component attribute can be obtained by modifying the predicted component attribute output by the preset matching model by the user. For modification of the predicted component property, the electronic device may provide a confirmation interface of the predicted component property, and the user may interactively modify the predicted component property on the confirmation interface. Modifying the target component attribute under the condition of wrong matching; and confirming the target component attribute when the matching is correct.
In some optional implementations of this embodiment, the step S332 may include the following steps:
(1) a validation interface is provided that predicts component properties.
After the electronic device predicts the component property by using the preset matching model, a confirmation interface of the predicted component property as shown in fig. 6a may be provided for the user to determine the predicted component property. And displaying the component type and the component material attribute of the target primitive in the target building model, and the component type and the component material attribute after matching conversion on the confirmation interface.
(2) The target component property is determined in response to a modify operation on the predicted component property validation interface.
The user can modify the predicted component attribute on the confirmation interface, and accordingly, the electronic device can determine the target component attribute corresponding to the component attribute to be matched in response to the modification operation of the user on the predicted component attribute confirmation interface.
The component matching method provided by the embodiment determines the attributes of the components to be matched of the target primitives according to the floor information, thereby avoiding matching of all the floor information and improving the component matching efficiency; after the preset matching model outputs the predicted component attribute, the modification information of the user on the predicted component attribute is acquired, so that the accuracy of the obtained target component attribute is improved.
As an optional implementation manner of this embodiment, the training step of the preset matching model includes:
(1) and acquiring the sample member attribute and the matching member attribute which is directly used for calculating the engineering quantity and corresponds to the sample member attribute.
The sample component attributes are the expressions of the component attributes of the primitives of the building model in the building software, and the matched component attributes are the expressions of the corresponding component attributes in the computational software.
Optionally, the sample component attribute of at least one region and the matching component attribute corresponding to the sample component attribute and directly used for the engineering quantity calculation are obtained to determine the preset matching model corresponding to the region.
(2) And inputting the sample component attribute into a preset matching model, and determining a predicted sample component attribute corresponding to the sample component attribute.
After the electronic equipment initializes the parameters of the preset matching model, the attributes of the sample components are input into the preset matching model, and the preset matching model can output the predicted sample component attributes corresponding to the attributes of the sample components.
(3) And updating parameters of the predicted matching model based on the matching component attributes and the predicted sample component attributes to determine a preset matching model.
The electronic device may perform the calculation of the loss function by using the predicted sample member attribute and the corresponding matching member attribute, so as to update the parameters of the predicted matching model and determine the preset matching model.
By obtaining at least one sample component attribute of the region and the corresponding matching component attribute directly used for engineering quantity calculation, a prediction matching model corresponding to the region can be obtained through subsequent training.
In accordance with an embodiment of the present invention, an engineering calculation method embodiment is provided, it should be noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
In this embodiment, an engineering quantity calculation method is provided, which can be used in the above-mentioned electronic devices, such as a computer, a mobile phone, a tablet computer, etc., fig. 8 is a flowchart of the engineering quantity calculation method according to the embodiment of the present invention, and as shown in fig. 8, the flowchart includes the following steps:
and S41, determining the target component attribute corresponding to the component attribute to be matched of the target primitive in the target building model according to the component matching method in any one of the above embodiments.
Please refer to the description of the embodiments shown in fig. 1, fig. 2, and fig. 7, which is not repeated herein.
S42, calculating the engineering quantity of the target building model based on the target component attribute.
After the electronic equipment obtains the target component attributes corresponding to the component attributes to be matched, the electronic equipment can directly calculate the engineering quantity of the target building model by using the target component attributes. For example, related calculation rules (providing options for all civil engineering/decoration components, and determining default values such as calculation content of each component, superelevation, segmentation, curved surface angle, template area calculation principle and the like by changing according to actual needs of users) and calculation formulas (wherein a plurality of calculation modes and/or deduction rules are default settings for general calculation methods and/or deduction rules preset in different regions, and can also be adjusted according to actual needs of users) may be built in the electronic device, and the engineering quantity of the target building model may be obtained by directly substituting corresponding target component attributes into the calculation formulas.
Specifically, the engineering quantity of the target building model can be calculated in the following manner:
before the engineering quantity calculation is utilized, calculation setting can be carried out, the engineering quantity to be extracted is selected, the calculation method is set, the related engineering quantity comprises the volume of each component, the area (bottom surface and side surface) of a template, the super height and the like, and the requirement of the calculated quantity can be met by the engineering quantity calculation.
And then, setting a calculation rule, wherein the calculation rule mainly refers to a deduction rule of the member and the related members (including beams, walls and the like). And if the default rule option is different from the requirement of the user, different deduction rule options can be selected according to the requirement of the user, so that the flexibility and the accuracy of the engineering quantity calculation are ensured.
The method can also provide one-key intelligent calculation quantity convenient operation, and the user can obtain the result of the model engineering quantity only by clicking the summary calculation. If the user feels that the calculated engineering quantity has a problem, the calculation setting can be rechecked, the detailed parameter settings of the three-dimensional model are adjusted to correct the result, and the correct engineering quantity can be quickly calculated again after the settings are changed.
Furthermore, an intelligent project amount report display of multidimensional parameters (such as area, template area, length and perimeter) is provided, and a user can sort and check the project amount according to floors and members and automatically combine the project amount report. And user-defined setting classification conditions can be added for providing multi-scene combination for users.
The calculation method can realize the visual and dynamic management of the engineering quantity. And can be directly applied to the engineering quantity calculation of the bidding stage of the actual engineering. Meanwhile, the given built-in calculation rule corresponds to the calculation method and deduction rule corresponding to the user region in the international universal standard measurement method library. Specifically, the Method is an international universal Standard of Measurement (SMM) library of the area where the user is located, and a calculation Method of the engineering quantity of the slope in the SMM library and a deduction rule are displayed to the user for the user to select. The built-in rule sets default values according to the relevant measurement standards, if the user finds that the default calculation standards are not accordant with the calculation standards required by the user, the user also supports multiple calculation principles for the user to select, and the user can select to modify the default calculation method.
In the engineering quantity calculation method provided by this embodiment, the preset matching model is used to match the target component attribute of the component to be matched, and the target component attribute may be directly used for the attribute information of the subsequent engineering quantity calculation. The method has the advantages that the preset matching model is utilized to match the attributes of the members to be matched into the attribute information which can be directly used for calculating the engineering quantity, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of calculating the engineering quantity is improved.
In this embodiment, a component matching device or an engineering quantity calculating device is further provided, and the device is used to implement the above embodiments and preferred embodiments, and the description of the device is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The present embodiment provides a component matching apparatus, as shown in fig. 8, including:
an obtaining module 51, configured to obtain a target building model;
the analysis module 52 is configured to analyze the target building model to obtain an attribute of a component to be matched of the target primitive;
the first determining module 53 is configured to input the attribute of the component to be matched into a preset matching model, and determine a target component attribute corresponding to the attribute of the component to be matched, where the target component attribute is attribute information directly used for calculating the engineering quantity of the target building model.
The component matching device provided by this embodiment performs matching of the target component attribute on the component attribute to be matched by using the preset matching model, and the target component attribute may be directly used for attribute information of subsequent engineering quantity calculation. The method has the advantages that the preset matching model is utilized to match the attributes of the members to be matched into the attribute information which can be directly used for calculating the engineering quantity, so that the target building model can be directly utilized to calculate the subsequent engineering quantity, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of calculating the subsequent engineering quantity is improved.
The present embodiment also provides an engineering quantity calculation apparatus, as shown in fig. 9, including:
a second determining module 61, configured to determine a target component attribute corresponding to a component attribute to be matched of a target primitive in the target building model according to the component matching method in the first aspect of the present invention or any embodiment of the first aspect;
a calculation module 62 for calculating the engineering quantities of the target building model based on the target component attributes.
The engineering quantity calculation device provided by the embodiment can match the attributes of the members to be matched into the attribute information which can be directly used for engineering quantity calculation by using the preset matching model, so that the subsequent engineering quantity calculation can be directly performed by using the target building model, the quite complicated and time-consuming process of modeling is omitted, and the efficiency of engineering quantity calculation is improved.
The component matching apparatus, or the engineering quantity calculation apparatus, in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices that can provide the above-described functions.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
An embodiment of the present invention further provides an electronic device, which has the component matching apparatus shown in fig. 9 or the engineering quantity calculation apparatus shown in fig. 10.
Referring to fig. 11, fig. 11 is a schematic structural diagram of a terminal according to an alternative embodiment of the present invention, and as shown in fig. 11, the terminal may include: at least one processor 71, such as a CPU (Central Processing Unit), at least one communication interface 73, memory 74, at least one communication bus 72. Wherein a communication bus 72 is used to enable the connection communication between these components. The communication interface 73 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 73 may also include a standard wired interface and a standard wireless interface. The Memory 74 may be a high-speed RAM Memory (volatile Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 74 may alternatively be at least one memory device located remotely from the processor 71. Wherein the processor 71 may be in connection with the apparatus described in fig. 9 or 10, an application program is stored in the memory 74, and the processor 71 calls the program code stored in the memory 74 for performing any of the above-mentioned method steps.
The communication bus 72 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 72 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 11, but this is not intended to represent only one bus or type of bus.
The memory 74 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated: HDD) or a solid-state drive (english: SSD); the memory 74 may also comprise a combination of memories of the kind described above.
The processor 71 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of CPU and NP.
The processor 71 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 74 is also used for storing program instructions. Processor 71 may invoke program instructions to implement the component matching method as described in the embodiments of fig. 1, 2, and 7 of the present application, or the engineering calculation method shown in the embodiment of fig. 8.
Embodiments of the present invention further provide a non-transitory computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions may execute the component matching method or the engineering quantity calculation method in any of the above method embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (13)

1. A component matching method, characterized in that the method comprises:
obtaining a target building model;
analyzing the target building model to obtain the attributes of the members to be matched of the target graphic elements;
and inputting the attributes of the members to be matched into a preset matching model, and determining the attributes of the target members corresponding to the attributes of the members to be matched, wherein the attributes of the target members are attribute information directly used for calculating the engineering quantity of the target building model.
2. The method according to claim 1, wherein the inputting the component property to be matched into a preset matching model, and the determining the target component property corresponding to the component property to be matched comprises:
extracting field features of the attributes of the members to be matched;
and performing text prediction based on the extracted field characteristics to obtain the target component attribute.
3. The method according to claim 2, wherein the component attribute to be matched comprises a component material attribute, and the extracting field features of the component attribute to be matched comprises:
judging whether the attributes of the components to be matched have at least two material attributes of the components;
and when the component attributes to be matched have at least two component material attributes, extracting the field features according to the component material attributes.
4. The method according to any one of claims 1 to 3, wherein the analyzing the target building model to obtain the attributes of the members to be matched of the target primitives comprises:
analyzing the target building model to obtain floor information in the target building model, wherein the floor information comprises attributes of members to be matched of primitives in each floor;
and determining the attributes of the members to be matched of the target primitives based on the floor information in the target building model.
5. The method according to claim 1, wherein the inputting the component property to be matched into a preset matching model, and the determining the target component property corresponding to the component property to be matched comprises:
inputting the attributes of the components to be matched into a preset matching model to obtain the attributes of the predicted components;
and acquiring modification information of the predicted component attribute, and determining the target component attribute.
6. The method according to claim 1, wherein the inputting the component property to be matched into a preset matching model, determining a target component property corresponding to the component property to be matched, further comprises:
acquiring a target region corresponding to the target building model;
and determining the corresponding preset matching model based on the target region.
7. The method of claim 6, wherein the step of training the predetermined matching model comprises:
acquiring a sample component attribute and a matching component attribute which is directly used for engineering quantity calculation and corresponds to the sample component attribute;
inputting the sample component attribute into a preset matching model, and determining a predicted sample component attribute corresponding to the sample component attribute;
updating parameters of the predicted matching model based on the matching component attributes and the predicted sample component attributes to determine the preset matching model.
8. The method of claim 7, wherein obtaining the sample component properties and their corresponding matching component properties directly used for engineering quantity calculation comprises:
the method comprises the steps of obtaining at least one sample component attribute of a region and a matching component attribute which is directly used for engineering quantity calculation and corresponds to the sample component attribute so as to determine a preset matching model corresponding to the region.
9. A method of engineering quantity calculation, the method comprising:
the component matching method according to any one of claims 1-8, determining target component attributes corresponding to component attributes to be matched of target primitives in the target building model;
calculating the engineering quantity of the target building model based on the target component attribute.
10. A component matching apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring a target building model;
the analysis module is used for analyzing the target building model to obtain the attributes of the members to be matched of the target graphic primitives;
the first determining module is used for inputting the attributes of the members to be matched into a preset matching model and determining the attributes of the target members corresponding to the attributes of the members to be matched, wherein the attributes of the target members are attribute information directly used for calculating the engineering quantity of the target building model.
11. An engineering quantity calculation apparatus, characterized in that the apparatus comprises:
a second determination module, configured to determine a target component attribute corresponding to a component attribute to be matched of a target primitive in the target building model according to the component matching method according to any one of claims 1 to 8;
and the calculation module is used for calculating the engineering quantity of the target building model based on the target component attribute.
12. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the component matching method of any one of claims 1 to 8 or the engineering quantity calculation method of claim 9.
13. A computer-readable storage medium storing computer instructions for causing a computer to execute the component matching method according to any one of claims 1 to 8 or the engineering quantity calculation method according to claim 9.
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