Applications of integrated BIM–AI
| s/n | Sub-constructs and items | FL | NT | α | AV | EV |
|---|---|---|---|---|---|---|
| A | Integrated BIM–AI for smart construction | 11 | 0.80 | 0.65 | 2.13 | |
| 1 | Automated design and rule checking | 0.71 | ||||
| 2 | 3D as-built reconstruction | 0.82 | ||||
| 3 | Event log mining | 0.62 | ||||
| 4 | Building performance analysis | 0.76 | ||||
| 5 | Digital twin of construction site objects | 0.52 | ||||
| 6 | Balance of construction team | 0.86 | ||||
| 7 | Automated progress monitoring | 0.70 | ||||
| 8 | Automated safety management | 0.88 | ||||
| 9 | Automated quality management | 0.88 | ||||
| 10 | Automated contract management | 0.92 | ||||
| 11 | Automated site progress monitoring | 0.77 | ||||
| B | Integrated BIM–AI for waste management | 4 | 0.87 | 0.55 | 1.26 | |
| 1 | Waste quantitative assessment | 0.86 | ||||
| 2 | Demolition process planning | 0.54 | ||||
| 3 | Optimal disposal route selection | 0.50 | ||||
| 4 | Generating sustainable waste disposal practices | 0.73 | ||||
| C | Integrated BIM–AI for facility management | 9 | 0.86 | 0.62 | 0.88 | |
| 1 | 3D as-built documentation | 0.77 | ||||
| 2 | 3D scan-to-BIM reconstruction | 0.81 | ||||
| 3 | Predictive property valuation | 0.83 | ||||
| 4 | Automatic property data classification | 0.84 | ||||
| 5 | Predictive energy management | 0.92 | ||||
| 6 | Thermal image analysis for defects | 0.71 | ||||
| 7 | Automatic recognition of architectural elements | 0.70 | ||||
| 8 | Automatic historic building management | 0.80 | ||||
| 9 | BIM–AI-driven land supply management | 0.80 | ||||
| D | Integrated BIM–AI for data management | 5 | 0.80 | 0.63 | 0.77 | |
| 1 | Automatic information retrieval from BIM model | 0.86 | ||||
| 2 | Intuitive voice assistant for BIM data management | 0.84 | ||||
| 3 | AI-backed BIM content recommender system | 0.82 | ||||
| 4 | AI voice assistant interface to convert verbal requests | 0.86 | ||||
| 5 | Centralized data management | 0.78 | ||||
| E | Integrated BIM–AI for defects and damage detection | 4 | 0.81 | 0.52 | 0.36 | |
| 1 | Automatic analysis of seismic damages in buildings | 0.80 | ||||
| 2 | Defect digital twinning | 0.70 | ||||
| 3 | Automatic hazard-induced damage analysis | 0.73 | ||||
| 4 | Predictive AI models for defects detection | 0.71 | ||||
| F | Integrated BIM–AI for sustainable design and modelling | 4 | 0.88 | 0.63 | 0.96 | |
| 1 | BIM–AI-enabled energy-efficient building design | 0.92 | ||||
| 2 | BIM–AI-based sustainable design decision-making | 0.93 | ||||
| 3 | Predictive AI models for HVAC energy consumption | 0.88 | ||||
| 4 | Intelligent utilization of construction materials | 0.77 | ||||
| G | Integrated BIM–AI for project management | 11 | 0.92 | 0.66 | 2.11 | |
| 1 | BIM–AI-based project performance evaluation system | 0.71 | ||||
| 2 | BIM–AI-based function, data and process modelling | 0.70 | ||||
| 3 | Automated project scheduling | 0.90 | ||||
| 4 | Creative project design generation and exploration | 0.90 | ||||
| 5 | Collaborative project design | 0.71 | ||||
| 6 | Automated BIM model authoring and review | 0.77 | ||||
| 7 | Automated project cost estimating | 0.81 | ||||
| 8 | Automated path finding | 0.66 | ||||
| 9 | Automated code compliance checking | 0.71 | ||||
| 10 | Automated clash detection | 0.74 | ||||
| 11 | Automated construction simulation | 0.86 | ||||
| H | Integrated BIM–AI for construction technology | 4 | 0.86 | 0.71 | 3.20 | |
| 1 | Intelligent recognition algorithms for monitoring structural damage | 0.76 | ||||
| 2 | Predictive AI model for forecasting structural damage | 0.77 | ||||
| 3 | AI generated structural engineering BIM model | 0.76 | ||||
| 4 | AI generated mechanical and electrical engineering BIM model | 0.74 | ||||
| s/n | Sub-constructs and items | FL | NT | α | AV | EV |
|---|---|---|---|---|---|---|
| 11 | 0.80 | 0.65 | 2.13 | |||
| 1 | 0.71 | |||||
| 2 | 0.82 | |||||
| 3 | 0.62 | |||||
| 4 | 0.76 | |||||
| 5 | 0.52 | |||||
| 6 | 0.86 | |||||
| 7 | 0.70 | |||||
| 8 | 0.88 | |||||
| 9 | 0.88 | |||||
| 10 | 0.92 | |||||
| 11 | 0.77 | |||||
| 4 | 0.87 | 0.55 | 1.26 | |||
| 1 | 0.86 | |||||
| 2 | 0.54 | |||||
| 3 | 0.50 | |||||
| 4 | 0.73 | |||||
| 9 | 0.86 | 0.62 | 0.88 | |||
| 1 | 0.77 | |||||
| 2 | 0.81 | |||||
| 3 | 0.83 | |||||
| 4 | 0.84 | |||||
| 5 | 0.92 | |||||
| 6 | 0.71 | |||||
| 7 | 0.70 | |||||
| 8 | 0.80 | |||||
| 9 | BIM–AI | 0.80 | ||||
| 5 | 0.80 | 0.63 | 0.77 | |||
| 1 | 0.86 | |||||
| 2 | 0.84 | |||||
| 3 | 0.82 | |||||
| 4 | 0.86 | |||||
| 5 | 0.78 | |||||
| 4 | 0.81 | 0.52 | 0.36 | |||
| 1 | 0.80 | |||||
| 2 | 0.70 | |||||
| 3 | 0.73 | |||||
| 4 | 0.71 | |||||
| 4 | 0.88 | 0.63 | 0.96 | |||
| 1 | BIM–AI | 0.92 | ||||
| 2 | BIM–AI | 0.93 | ||||
| 3 | 0.88 | |||||
| 4 | 0.77 | |||||
| 11 | 0.92 | 0.66 | 2.11 | |||
| 1 | BIM–AI | 0.71 | ||||
| 2 | BIM–AI | 0.70 | ||||
| 3 | 0.90 | |||||
| 4 | 0.90 | |||||
| 5 | 0.71 | |||||
| 6 | 0.77 | |||||
| 7 | 0.81 | |||||
| 8 | 0.66 | |||||
| 9 | 0.71 | |||||
| 10 | 0.74 | |||||
| 11 | 0.86 | |||||
| 4 | 0.86 | 0.71 | 3.20 | |||
| 1 | 0.76 | |||||
| 2 | 0.77 | |||||
| 3 | 0.76 | |||||
| 4 | 0.74 | |||||
Note(s): NT = number of items; FL = factor loading; α = Cronbach Alpha; AV = average variance explained; EV = Eigen value
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