Building feature extraction system and method based on big data processing

Abstract

The present application relates to the technical field of feature extraction analysis, and particularly relates to a building feature extraction system and method based on big data processing, comprising: analyzing the overload state of building components at the support based on building load data and support state data; analyzing the building structure offset state at the support based on the support state data and building structure data; evaluating the instability risk of the building after the support is removed according to the overload state analysis result of the building components at the support and the building structure offset state analysis result; and giving a building instability risk warning to the building construction party according to the instability risk evaluation result of the building after the support is removed. By comprehensively considering the overload state of the building components and the building structure offset state, the instability risk of the building after the support is removed is evaluated, so as to help the construction party to make instability risk judgment, and improve the structural stability and safety of the building.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of feature extraction analysis, and particularly relates to a building feature extraction system and method based on big data processing. BACKGROUND

[0002] With the rapid development of BIM technology, BIM models are increasingly widely used in the field of civil engineering. BIM model is a three-dimensional digital model for creating and managing building projects, which integrates design, construction and operation information data of multiple disciplines such as architecture, structure, mechanical and electrical engineering, and can provide strong support for the whole life cycle management of engineering projects. In civil engineering, BIM model can not only realize design visualization, collaborative work and data sharing, but also provide efficient and accurate tools for building feature extraction and analysis through rich information integration capability. Building features are mainly various technical parameters and attribute data related to civil engineering, including building structure, material performance, construction technology and environmental conditions. These professional features are important basis for engineering design, construction and operation, and directly affect the quality, cost and progress of the project. Traditional building feature extraction mainly relies on manual measurement and drawing analysis, which has low efficiency, large error and incomplete information. Therefore, combining BIM model and building features for analysis can make full use of the multi-dimensional information of BIM model, and realize automatic and intelligent feature extraction and analysis.

[0003] However, the existing technology in building feature extraction analysis is often through the analysis of external environmental conditions such as wind, earthquake and other factors, and then evaluates whether the building has the risk of tilting or instability. Although it can reflect the response of the building under external load to some extent, it ignores the state of the support during the construction process and its influence on the overall structure. But in actual situation, the stability of the building not only depends on its design strength and external environmental load, but also is closely related to the arrangement and state of the support during the construction process; therefore, the existing technology does not consider evaluating the instability risk of the building after removing the support by analyzing the state data of the support and the load distribution during the construction process.

[0004] In order to solve these problems, the present application designs a building feature extraction system and method based on big data processing. SUMMARY

[0005] The purpose of the present application is to provide a building feature extraction system and method based on big data processing, which comprehensively considers the overload state of building components and the displacement state of building structure, and then evaluates the instability risk of the building after removing the support, so as to help the construction party to judge the instability risk and improve the structural stability and safety of the building.

[0006] The present application is realized as follows:

[0007] In a first aspect, the present application provides a building feature extraction method based on big data processing, comprising the following steps:

[0008] S1, obtaining building feature data from a building BIM model; wherein the building feature data comprises building load data, support state data and building structure data;

[0009] S2, analyzing the overload state of the building component at the support based on the building load data and the support state data;

[0010] S3, analyzing the building structure offset state at the support based on the support state data and the building structure data;

[0011] S4, evaluating the instability risk of the building after the support is removed according to the overload state analysis result of the building component at the support and the building structure offset state analysis result;

[0012] S5, giving a building instability risk warning to the building construction party according to the instability risk evaluation result of the building after the support is removed.

[0013] Based on the above-mentioned scheme, in step S2, the overload state of the building component at the support is analyzed based on the building load data and the support state data, specifically comprising:

[0014] S21, obtaining the building load data and the support state data in the building BIM model;

[0015] S22, analyzing the overload state of the building component at the support based on the building load data and the support state data, and obtaining the overload state analysis result of the building component at the support.

[0016] Based on the above-mentioned scheme, in step S3, the building structure offset state at the support is analyzed based on the support state data and the building structure data, specifically comprising:

[0017] S31, obtaining the support state data and the building structure data in the building BIM model;

[0018] S32, analyzing the building structure offset state at the support based on the support state data and the building structure data, and obtaining the building structure offset state analysis result at the support.

[0019] Based on the above-mentioned scheme, in step S32, the building structure offset state at the support is analyzed based on the support state data and the building structure data, specifically comprising the following steps:

[0020] S321, analyze the axial offset state of the building structure at the support based on the support state data and the building structure data;

[0021] S322, analyze the bending offset state of the building structure at the support based on the support state data and the building structure data;

[0022] S323, analyze the shear offset state of the building structure at the support based on the support state data and the building structure data;

[0023] S324, analyze the offset state of the building structure at the support according to the axial offset state analysis result of the building structure at the support, the bending offset state analysis result of the building structure at the support, and the shear offset state analysis result of the building structure at the support.

[0024] On the basis of the above-mentioned scheme, in step S4, the instability risk of the building after the support is removed is evaluated according to the overload state analysis result of the building component at the support and the building structure offset state analysis result, including the following specific steps:

[0025] S41, obtain the overload state analysis result of the building component at the support and the building structure offset state analysis result at the support obtained by analysis;

[0026] S42, weight and sum the overload state analysis result of the building component at the support and the building structure offset state analysis result at the support to obtain the building instability state analysis result at the support.

[0027] On the basis of the above-mentioned scheme, the instability risk of the building after the support is removed is evaluated, including the following specific steps:

[0028] S43, obtain the building instability state analysis result at all supports in the building BIM model;

[0029] S44, sum the building instability state analysis results at all supports to obtain the instability risk evaluation result of the building after the support is removed.

[0030] On the basis of the above-mentioned scheme, in step S5, the building instability risk warning is given to the building construction party according to the instability risk evaluation result of the building after the support is removed, specifically including:

[0031] S51, obtain the instability risk evaluation result of the building after the support is removed;

[0032] S52, preset an instability risk threshold, and when the instability risk evaluation result of the building after the support is removed is greater than the instability risk threshold, the building instability risk warning is given to the building construction party.

[0033] In a second aspect, the present application provides a building feature extraction system based on big data processing, comprising:

[0034] A data acquisition module is configured to acquire building feature data from a building BIM model, wherein the building feature data comprises building load data, support state data and building structure data;

[0035] A building component overload state analysis module is configured to analyze the overload state of building components at the support based on the building load data and the support state data;

[0036] A building structure displacement state analysis module is configured to analyze the displacement state of the building structure at the support based on the support state data and the building structure data;

[0037] A building instability risk assessment module is configured to assess the instability risk of the building after the support is removed based on the overload state analysis result of the building components at the support and the displacement state analysis result of the building structure;

[0038] A building instability risk warning module is configured to warn the building construction party of the building instability risk based on the instability risk assessment result of the building after the support is removed;

[0039] A control module is configured to control the operation of the data acquisition module, the building component overload state analysis module, the building structure displacement state analysis module, the building instability risk assessment module and the building instability risk warning module.

[0040] In a third aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a building feature extraction method based on big data processing by calling the computer program stored in the memory.

[0041] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0042] The present application analyzes the overload state of building components at the support based on building load data and support state data, analyzes the displacement state of the building structure at the support based on support state data and building structure data, assesses the instability risk of the building after the support is removed based on the overload state analysis result of the building components at the support and the displacement state analysis result of the building structure, and warns the building construction party of the building instability risk based on the instability risk assessment result of the building after the support is removed. By comprehensively considering the overload state of building components and the displacement state of the building structure, the instability risk of the building after the support is removed is assessed, thereby helping the construction party to judge the instability risk and improving the structural stability and safety of the building. Attached Figure Description

[0043] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0044] Figure 1 This is a schematic diagram of the overall process of the building feature extraction method based on big data processing of the present invention;

[0045] Figure 2 This is a schematic diagram of the building feature extraction system based on big data processing according to the present invention;

[0046] Figure 3 This is a flowchart illustrating the steps of the building feature extraction method based on big data processing according to the present invention. Detailed Implementation

[0047] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0048] Example 1

[0049] like Figure 1 , Figure 3 As shown, this embodiment provides a method for extracting building features based on big data processing, specifically including the following steps:

[0050] S1. Obtain building feature data from the building BIM model; wherein, the building feature data includes: building load data, support status data, and building structure data;

[0051] S2. Based on building load data and support status data, analyze the overload status of building components at the support.

[0052] S3. Analyze the offset state of the building structure at the support based on the support status data and building structure data;

[0053] S4. Based on the overload state analysis results of the building components at the support and the offset state analysis results of the building structure, assess the risk of instability of the building after the support is removed.

[0054] S5. Based on the risk assessment of building instability after the removal of supports, issue a building instability risk warning to the construction contractor.

[0055] As a preferred technical solution of the present application, in step S2, the overload state of the building component at the support is analyzed based on the building load data and the support state data, specifically including:

[0056] S21, obtaining building load data and support state data in the building BIM model;

[0057] S22, analyzing the overload state of the building component at the support based on the building load data and the support state data, obtaining the overload state analysis result of the building component at the support. This embodiment considers that the building component at the support may be overloaded due to load concentration or support failure, therefore, this step analyzes the overload state of the building component at the support, evaluates whether the component exceeds its carrying capacity, quantifies the overload risk of the component, and can avoid local or overall structural failure caused by overload. The formula for calculating the overload state of the building component at the support can be: Wherein, Gz is the overload state of the building component at the support, qz represents the uniform load borne by the support in the building load data, Az is the load area borne by the support in the support state data, Ag is the cross-sectional area of the building component at the support, and Cg is the yield strength of the building component.

[0058] As a preferred technical solution of the present application, in step S3, the building structure offset state at the support is analyzed based on the support state data and the building structure data, specifically including:

[0059] S31, obtaining support state data and building structure data in the building BIM model;

[0060] S32, analyzing the building structure offset state at the support based on the support state data and the building structure data, obtaining the building structure offset state analysis result at the support.

[0061] As a preferred technical solution of the present application, in step S32, the building structure offset state at the support is analyzed based on the support state data and the building structure data, this embodiment considers that the building structure at the support may be axially offset, bent and sheared due to load action, therefore, this step analyzes the axial offset, bending offset and shearing offset state of the building structure at the support, evaluates whether the deformation of the structure is within the safe range, comprehensively evaluates the deformation state of the structure through multi-dimensional analysis of the offset state, avoids structural instability or damage caused by excessive offset, and can improve the stability of the building structure after the support is removed; specifically including the following steps:

[0062] S321, based on the support state data and the building structure data, the axial offset state of the building structure at the support is analyzed; wherein the calculation formula of the axial offset state can be: Wherein, Dz is the axial offset state of the building structure at the support, Fz is the axial force of the support in the support state data, Lg is the length of the building component in the building structure data, Eg is the elastic modulus of the building component in the building structure data, Ag is the cross-sectional area of the building component, and Zmax is the maximum safe axial offset.

[0063] S322, based on the support state data and the building structure data, the bending offset state of the building structure at the support is analyzed; wherein the calculation formula of the bending offset state can be: Wherein, Dw is the bending offset state of the building structure at the support, Mz is the bending moment of the support in the support state data, Ig is the cross-sectional moment of inertia of the building component in the building structure data, and Wmax is the maximum safe bending offset.

[0064] S323, based on the support state data and the building structure data, the shear offset state of the building structure at the support is analyzed; wherein the calculation formula of the shear offset state can be: Wherein, Dj is the shear offset state of the building structure at the support, Vz is the shear force of the support in the support state data, Gg is the shear modulus of the building component in the building structure data, and Jmax is the maximum safe shear offset.

[0065] S324, according to the analysis results of the axial offset state of the building structure at the support and the analysis results of the bending offset state of the building structure at the support and the analysis results of the shear offset state of the building structure at the support, the offset state of the building structure at the support is analyzed. Wherein, the building structure offset state evaluation formula of the support can be: Jp=Dz+Dw+Dj; wherein, Jp is the offset state of the building structure at the support.

[0066] As a preferred technical solution of the present application, in step S4, the instability risk of the building after the support is removed is evaluated according to the overload state analysis result of the building component at the support and the building structure offset state analysis result. Overload state and offset state are key indicators for evaluating instability risk, but their influence on instability risk is different. Therefore, this step performs weighted summation on the overload state and offset state analysis results, evaluates the overall instability risk of the building after the support is removed, ensures the safety of the support removal process, and can avoid structural instability or collapse accidents caused by support removal. Including the following specific steps:

[0067] S41, the overload state analysis result of the building component at the support and the building structure offset state analysis result at the support obtained by analysis are obtained;

[0068] S42, the overload state analysis result of the building component at the support and the building structure offset state analysis result at the support are weighted and summed to obtain the building instability state analysis result at the support. The calculation formula of the building instability state at the support is: Sz=a x Gz+b x Jp; wherein, Sz represents the building instability state at the support, a and b are respectively the overload state influence weight and the structure offset state influence weight.

[0069] As a preferred technical solution of the present application, the instability risk of the building after the supports are removed is evaluated, including the following specific steps:

[0070] S43, obtaining the building instability state analysis result of all supports in the building BIM model;

[0071] S44, obtaining the sum of the building instability state analysis results of all supports as the instability risk evaluation result of the building after the supports are removed. The calculation formula of the instability risk of the building after the supports are removed is: wherein, Sw is the instability risk of the building after the supports are removed, n is the number of supports, Szi is the building instability state at the i-th support, and i is any one of 1 to n.

[0072] As a preferred technical solution of the present application, according to the instability risk evaluation result of the building after the supports are removed, the building instability risk warning is given to the building construction party in step S5, which specifically includes:

[0073] S51, obtaining the instability risk evaluation result of the building after the supports are removed;

[0074] S52, presetting the instability risk threshold, and when the instability risk evaluation result of the building after the supports are removed is greater than the instability risk threshold, the building instability risk warning is given to the building construction party. In the present embodiment, the setting parameters (such as weights and thresholds) are obtained by experiments of those skilled in the art, and the specific experimental method is as follows: obtaining the building characteristic data from the BIM models of a plurality of buildings in history; substituting the building characteristic data in the BIM models of a plurality of buildings in history into each step in the present embodiment to obtain the instability risk evaluation results of the buildings in history after the supports are removed; obtaining the results of whether the instability damage occurs given by experts, and importing the instability risk evaluation results obtained by substituting each step in the present embodiment and the results of whether the instability damage occurs given by experts into the fitting software to output the setting parameters (such as weights and thresholds) with the highest instability risk judgment accuracy.

[0075] Example 2

[0076] As Figure 2As shown, the embodiment provides a building feature extraction system based on big data processing, comprising:

[0077] A data acquisition module is configured to acquire building feature data from a building BIM model, wherein the building feature data comprises building load data, support state data and building structure data;

[0078] A building component overload state analysis module is configured to analyze the overload state of the building component at the support based on the building load data and the support state data;

[0079] A building structure offset state analysis module is configured to analyze the offset state of the building structure at the support based on the support state data and the building structure data;

[0080] A building instability risk assessment module is configured to assess the instability risk of the building after the support is removed based on the overload state analysis result of the building component at the support and the offset state analysis result of the building structure;

[0081] A building instability risk warning module is configured to warn the building construction party of the building instability risk based on the instability risk assessment result of the building after the support is removed;

[0082] A control module is configured to control the operation of the data acquisition module, the building component overload state analysis module, the building structure offset state analysis module, the building instability risk assessment module and the building instability risk warning module.

[0083] The above steps of implementing the respective functions of the parameters and the unit modules in the building feature extraction system based on big data processing of the present application can refer to the parameters and steps in the embodiments of the building feature extraction method based on big data processing described above, and will not be repeated here.

[0084] Embodiment 3

[0085] The electronic device of the embodiment of the present application comprises a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the building feature extraction method based on big data processing by calling the computer program stored in the memory. It should be noted that all computer programs of the building feature extraction method based on big data processing are implemented using C language, wherein the data acquisition module, the building component overload state analysis module, the building structure offset state analysis module, the building instability risk assessment module, the building instability risk warning module and the control module are all controlled by a remote server.

[0086] In the description of the specification, reference to "one embodiment", "an example", "a specific example" or the like means that a particular feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. The appearances of the phrases "in one embodiment", "an example", "a specific example" or the like in various places in the specification are not necessarily referring to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0087] The preferred embodiments of the application disclosed above are only to help explain the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments described. Obviously, many modifications and variations can be made in light of the contents of the specification. The specification selects and specifically describes these embodiments in order to better explain the principles and practical application of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A building feature extraction method based on big data processing, characterized in that, The method comprises the following steps: S1, obtaining building feature data from a building BIM model; wherein the building feature data comprises building load data, support state data and building structure data; S2, analyzing the overload state of the building component at the support based on the building load data and the support state data; S3, analyzing the building structure offset state at the support based on the support state data and the building structure data; specifically comprising the following steps: S321, analyzing the axial offset state of the building structure at the support based on the support state data and the building structure data; S322, analyzing the bending offset state of the building structure at the support based on the support state data and the building structure data; S323, analyzing the shear offset state of the building structure at the support based on the support state data and the building structure data; S324, analyzing the building structure offset state at the support according to the axial offset state analysis result of the building structure at the support, the bending offset state analysis result of the building structure at the support and the shear offset state analysis result of the building structure at the support; S4, evaluating the instability risk of the building after the support is removed according to the overload state analysis result of the building component at the support and the building structure offset state analysis result; comprising the following specific steps: S41, obtaining the overload state analysis result of the building component at the support and the building structure offset state analysis result at the support obtained by analysis; S42, performing weighted summation on the overload state analysis result of the building component at the support and the building structure offset state analysis result at the support to obtain the building instability state analysis result at the support; S43, obtaining the building instability state analysis result at all supports in the building BIM model; S44, obtaining the sum of the building instability state analysis results at all supports as the instability risk evaluation result of the building after the support is removed; S5, performing building instability risk early warning to the building construction party according to the instability risk evaluation result of the building after the support is removed.

2. The building feature extraction method based on big data processing according to claim 1, characterized in that, The step S2 of analyzing the overload state of the building component at the support based on the building load data and the support state data specifically comprises: S21, obtaining the building load data and the support state data in the building BIM model; S22, analyzing the overload state of the building component at the support based on the building load data and the support state data to obtain the overload state analysis result of the building component at the support. 3.The building feature extraction method based on big data processing according to claim 2, characterized in that, The step S3 of analyzing the building structure offset state at the support based on the support state data and the building structure data specifically comprises: S31, obtaining the support state data and the building structure data in the building BIM model; S32, analyzing the building structure offset state at the support based on the support state data and the building structure data to obtain the building structure offset state analysis result at the support.

4. The building feature extraction method based on big data processing according to claim 3, characterized in that, The step S5 of performing building instability risk early warning to the building construction party according to the instability risk evaluation result of the building after the support is removed specifically comprises: S51, obtain the instability risk assessment result of the building after the support is removed; S52, preset an instability risk threshold, and when the instability risk assessment result of the building after the support is removed is greater than the instability risk threshold, the building instability risk early warning is performed on the building construction party.

5. A building feature extraction system based on big data processing, for implementing the building feature extraction method based on big data processing according to any one of claims 1-4, characterized in that, The system comprises: a data acquisition module configured to acquire building feature data from a building BIM model, wherein the building feature data comprises building load data, support state data, and building structure data; a building component overload state analysis module configured to analyze the overload state of a building component at the support based on the building load data and the support state data; a building structure offset state analysis module configured to analyze the offset state of a building structure at the support based on the support state data and the building structure data; a building instability risk assessment module configured to assess the instability risk of the building after the support is removed according to the overload state analysis result of the building component at the support and the offset state analysis result of the building structure; a building instability risk early warning module configured to perform the building instability risk early warning on the building construction party according to the instability risk assessment result of the building after the support is removed; a control module configured to control the operation of the data acquisition module, the building component overload state analysis module, the building structure offset state analysis module, the building instability risk assessment module, and the building instability risk early warning module.

6. An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; and the processor executes the building feature extraction method based on big data processing according to any one of claims 1-4 by calling the computer program stored in the memory.

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