基于人工智能的方法,为学校建筑物创建与安全相关的建筑特征的空间库存
1Department of Civil and Environmental Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
概括
这项研究引入了一种人工智能方法,使用点云数据快速创建学校安全特征的空间库存. 通过有效地识别关键架构元素, 提高应急准备.
科学领域:
- 计算机视觉
- 建筑工程
- 人工智能
背景情况:
- 学校的有效应急响应需要准确的空间安全数据.
- 目前创建空间库存的方法对于大型学校建筑是低效的.
研究的目的:
- 开发基于人工智能的方法,以便在学校快速创建安全特征的空间库存.
- 通过创建跨模式数据来解决现有的二维和三维空间数据的局限性.
- 从点云数据中提取玻璃立面框架.
主要方法:
- 利用人工智能和点云数据进行自动化空间库存.
- 开发激光扫描的跨模式数据生成技术.
- 为点云细分调整任何细分模型.
主要成果:
- 成功生成安全特征的空间库存.
- 展示了对点云的细分和概括能力的转移.
- 展示了玻璃立面框架的潜力.
结论:
- 人工智能方法显著提高了在学校创建与安全有关的空间库存的效率.
- 跨模式数据生成克服了传统数据集的局限性.
- 这种方法有望用于详细的建筑特征提取,包括玻璃立面.
相关概念视频
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
168
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
168
Design Example: Sustainability in Concrete Building
225
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
225
Thematic Layering in GIS
75
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
75
Survey Safety
116
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
116
Levels of Use of a GIS
98
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
98
Selected Data About Geographic Locations
66
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
66


