CN-121598486-B - Building information model intelligent optimization method and system based on artificial intelligence

CN121598486BCN 121598486 BCN121598486 BCN 121598486BCN-121598486-B

Abstract

The application provides an intelligent building information model optimization method and system based on artificial intelligence. The method comprises the steps of firstly obtaining an initial building information model and corresponding field environment data, secondly coupling and analyzing the field environment data, geometric attribute information and physical attribute information to obtain first performance data of a building component, secondly obtaining structural response data in a preset history period, thirdly deriving a target mapping relation based on the first performance data and the structural response data, thirdly synchronously adjusting morphological parameters and material parameters according to the target mapping relation, and finally generating an optimized building information model when the adjusted morphological parameters and the adjusted material parameters meet a preset threshold value. The technical scheme provided by the application not only realizes the conversion from relying on artificial experience to intelligent accurate optimization, but also improves the optimization efficiency and the result reliability.

Inventors

LI PENGFEI
QIN SHAOQING
JI YUQING
LI ZHUOLIN
YU BIN
KONG LEI
Ma guangzhou
ZHANG YAN
Hei Heli
LU FEI
ZHU LIN
FAN ZHIHUI

Assignees

四川卓信汇通科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260122

Claims (7)

1. An intelligent optimization method for a building information model based on artificial intelligence is characterized by comprising the following steps: The method comprises the steps of obtaining an initial building information model and field environment data corresponding to the initial building information model, wherein the initial building information model comprises geometric attribute information and physical attribute information of building components, and comprises the steps of obtaining an initial building model from a preset design database, extracting the geometric attribute information and the physical attribute information of the building components in the initial building model, obtaining three-dimensional point cloud data of a target building field through a three-dimensional scanning technology, constructing a field real scene model based on the three-dimensional point cloud data, obtaining weather monitoring data of the target building field, carrying out space matching and superposition on the initial building model and the field real scene model to enable the building components to be positioned in the field real scene model, obtaining an initial building information model, and analyzing and calculating solar radiation intensity and wind pressure intensity of the outer surface of the building components based on the weather monitoring data, the field real scene model and the geometric attribute information and the physical attribute information of the building components, and taking the solar radiation intensity and wind pressure intensity of the outer surface of the building components as the field environment data; The method comprises the steps of coupling and analyzing the field environment data, the geometric attribute information and the physical attribute information to obtain first performance data of the building components, wherein the first performance data comprises calculating transient temperature field distribution of each building component under the action of solar radiation illuminance according to solar radiation illuminance, surface azimuth and area in the geometric attribute information and material heat conductivity coefficient and specific heat capacity in the physical attribute information, calculating internal structural force distribution of each building component under the action of wind load according to wind pressure intensity of the outer surface of the building component and structure appearance and size in the geometric attribute information, superposing thermal stress caused by the transient temperature field distribution and the internal structural force distribution, determining comprehensive stress state of each building component, evaluating safety margin of each building component based on the comprehensive stress state and material strength parameter in the physical attribute information, comparing the safety margin of each building component with a preset safety threshold, identifying a target building component with the safety margin lower than the safety threshold, recording identification information of the target building component and corresponding safety margin, and outputting corresponding safety margin and corresponding numerical value based on the first performance data of all corresponding building components; Obtaining structural response data of the building component in a preset history period; The method comprises the steps of carrying out association analysis on first performance data and structural response data to deduce a target mapping relation of building components, wherein the association analysis comprises the steps of carrying out matching on identification information and corresponding safety margin values of each target building component in the first performance data with actual deformation data recorded by building components with the same identification in the structural response data in a preset history period, establishing a corresponding relation between a safety margin value sequence and an actual deformation data sequence of each building component which are matched, identifying a regular deformation mode which is presented in the actual deformation data when the safety margin values are lower than a preset level based on the corresponding relation, extracting characteristic parameters of the regular deformation mode, associating the characteristic parameters with critical conditions of the safety margin values which cause the regular deformation mode, and inducing association rules between the safety state and the actual deformation behavior of the building components according to association results of all building components which are matched; And according to the target mapping relation, synchronously adjusting the form parameters and the material parameters of the building components in the initial building information model until the adjusted form parameters and the adjusted material parameters meet a preset threshold value to generate an optimized building information model for guiding reinforcement and reconstruction design of a target building.
2. The method of claim 1, wherein superimposing the transient temperature field distribution induced thermal stress with the intra-structure force distribution determines a composite stress state for each building element, comprising: according to the transient temperature field distribution, calculating the thermal stress value and the direction of each point in the building component to form a thermal stress distribution field; calculating the structural stress value and direction of each point in the building member according to the structural internal force distribution to form a structural stress distribution field; vector synthesis is carried out on stress components at corresponding positions in the thermal stress distribution field and the structural stress distribution field, so that a synthesized stress value and a synthesized stress direction of each point in the building component are obtained; Determining a maximum stress value in the building component and an occurrence position of the maximum stress value in the building component according to the synthesized stress values and synthesized stress directions of all points; And determining the comprehensive stress state of the building component based on the maximum stress value and the occurrence position of the maximum stress value.
3. The method of claim 1, wherein constructing a target mapping for predicting building element structural behavior from the first performance data based on the association rules comprises: converting the association rule into a plurality of judgment rules, wherein each judgment rule defines a range of safety margin values and corresponding deformation characteristics; Taking the safety margin value as an input parameter of the target mapping relation; Taking the deformation characteristics as output parameters of the target mapping relation; Establishing a mapping relation table according to the corresponding relation between safety margin values in different ranges and deformation characteristics; verifying the mapping relation table to ensure that all input parameters have corresponding output parameters; And constructing a target mapping relation according to the verified mapping relation table.
4. The method of claim 1, wherein synchronously adjusting the morphological parameters and the material parameters of the building elements in the initial building information model according to the target mapping relationship until the adjusted morphological parameters and material parameters meet a preset threshold to generate an optimized building information model, comprising: determining a building component set to be adjusted and an adjustment sequence according to the target mapping relation; According to the adjustment sequence, each building component of the building component set to be adjusted is adjusted in sequence, the adjustment direction of the form parameter and the material parameter corresponding to each building component is determined according to the target mapping relation, and the form parameter and the material parameter are modified synchronously; After each modification of the morphological parameters and the material parameters, recalculating first performance data based on the modified morphological parameters and the modified material parameters, and outputting predicted deformation data through the target mapping relation; When the predicted deformation data meet preset conditions, saving a parameter adjustment result of the current building component; and after all the building components to be adjusted are subjected to parameter adjustment, generating an optimized building information model based on the parameter adjustment results of all the building components.
5. An artificial intelligence based building information model intelligent optimization system applied to the artificial intelligence based building information model intelligent optimization method as set forth in any one of claims 1 to 4, comprising: The first acquisition module is used for acquiring an initial building information model and field environment data corresponding to the initial building information model, wherein the initial building information model comprises geometric attribute information and physical attribute information of a building component; a first analysis module for coupling analysis of the site environment data, the geometric attribute information, and the physical attribute information to obtain first performance data of the building element; The second acquisition module is used for acquiring structural response data of the building component in a preset history period; The second analysis module is used for carrying out association analysis according to the first performance data and the structural response data and deducing a target mapping relation of the building component; And the adjusting module is used for synchronously adjusting the form parameters and the material parameters of the building components in the initial building information model according to the target mapping relation until the adjusted form parameters and the adjusted material parameters meet a preset threshold value so as to generate an optimized building information model.
6. The computing device is characterized by comprising a processing component and a storage component, wherein the storage component stores one or more computer instructions, and the one or more computer instructions are used for being invoked and executed by the processing component to realize the intelligent building information model optimizing method based on the artificial intelligence according to any one of claims 1-4.
7. A computer storage medium storing a computer program which, when executed by a computer, implements an artificial intelligence based building information model intelligent optimization method according to any one of claims 1 to 4.

Description

Building information model intelligent optimization method and system based on artificial intelligence Technical Field The application relates to the technical field of model optimization, in particular to an intelligent building information model optimization method and system based on artificial intelligence. Background Along with the development of modern buildings to high-rise, large-span and complicated modeling, the buildings need to cope with the complex physical environment effects such as wind, heat and the like in the actual operation environment after being built in the design stage, and in order to ensure the structural safety and the service performance of the buildings in the whole life cycle, the building information model needs to be subjected to performance analysis and optimization in the design stage, so that the building information model not only meets the standard requirements, but also can adapt to the actual environment conditions of specific construction sites, and the transition from compliance design to performance optimization is realized. In order to meet the requirement, the prior art scheme generally adopts a method of integrating a building information model and computer aided engineering software, the scheme firstly completes three-dimensional geometric modeling and material attribute definition of a building in BIM software, then the model is imported into special CAE analysis software, in the CAE software, an operator manually sets standardized environmental load working conditions, for example, basic wind pressure and temperature boundary conditions are selected according to specifications, and the internal force, deformation and other mechanical responses of the structure under the standard working conditions are calculated through finite element analysis. And finally, repeatedly performing trial and error adjustment on the cross section size or the material specification of the component in the BIM according to the analysis result until the calculation result meets the safety index specified by the specification. However, the prior art has obvious defects that firstly, the environmental load relied by the analysis of the method is mostly based on a standardized value of statistics, the analysis condition and the actual situation are deviated due to the fact that the analysis is not deeply coupled with the complex wind field and the distribution of solar radiation caused by the actual topography of the place where the building is located, and the performance analysis and the model optimization are two relatively independent links, the optimization process is highly dependent on the experience of engineers to perform manual intervention, and a mechanism capable of directly and intelligently correlating the physical environment analysis result with the parameter adjustment of the building component is lacked, so that the optimization efficiency is low and the global optimal solution is difficult to find. Disclosure of Invention The application provides an intelligent building information model optimizing method and system based on artificial intelligence, which are used for solving the problems of the prior art that the performance of a building information model is optimized and the real field environment is disjointed, and the automation and the intelligent degree of the optimizing process are insufficient. In a first aspect, the present application provides an artificial intelligence based building information model intelligent optimization method, including: acquiring an initial building information model and field environment data corresponding to the initial building information model, wherein the initial building information model comprises geometric attribute information and physical attribute information of building components; Coupling analyzing the site environment data, the geometric attribute information, and the physical attribute information to obtain first performance data of the building element; Obtaining structural response data of the building component in a preset history period; Performing association analysis according to the first performance data and the structural response data, and deducing a target mapping relation of the building component; And synchronously adjusting the form parameters and the material parameters of the building components in the initial building information model according to the target mapping relation until the adjusted form parameters and the adjusted material parameters meet a preset threshold value so as to generate an optimized building information model. Optionally, acquiring an initial building information model and field environment data corresponding to the initial building information model, the initial building information model containing geometric attribute information and physical attribute information of a building element, including: acquiring an original building model from a preset design database, and ext