scholarly journals Combinatorial Spatial Data Model for Building Fire Simulation and Analysis

2019 ◽  
Vol 8 (9) ◽  
pp. 408
Author(s):  
Song ◽  
Niu ◽  
Li

Building fire is a complex geographic process related to the indoor spatial environment, a smart spatial data model can accurately describe the spatial-temporal information of a building fire scene, which is important for modeling a fire process. With the development of fire dynamics and computer science, many building fire models have been proposed and widely used. However, the spatial representation of these models is relatively weak. In this study, a fire process modeled via the Fire Dynamics Simulator (FDS) and the requirements of a spatial data model are initially analyzed. Then, a new spatial data model named the Combinatorial Spatial Data Model (CSDM) is combined with Geographic Information System (GIS). The key features of the CSDM, which include spatial, semantic, topological, event and state representations of a building fire scene modeled via the CSDM are subsequently presented. In addition, the Unified Modeling Language (UML) class diagram of the CSDM is also presented, and then experiments with a simplified building are conducted as a CSDM implementation case. A method of transferring data from the CSDM to FDS and a building fire analysis approach using the CSDM are subsequently proposed.

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Alexis Richard C. Claridades ◽  
Jiyeong Lee

Focus on indoor spatial applications has been rising with the growing interest in indoor spaces. Along with the widespread use of mobile devices and the internet, it has increased demands for indoor location-based services (LBS), demanding more efficient representation and management of indoor spatial data. Indoor points of interest (Indoor POI) data, representing both spaces and facilities located indoors, provide the infrastructure for these services. These datasets are vital in delivering timely and accurate information to users, such as in cases of managing indoor facilities. However, even though there are studies that explore its use across applications and efforts exerted towards the standardization of the data model, most POI development studies have focused on the outdoors and remain underdeveloped in the indoors. In this paper, we propose a spatial-temporal Indoor POI data model to provide direction for the establishment of indoor POI data and to address limitations in currently available data specifications. By exploring how different Indoor POIs are from its outdoor counterparts, particularly on extending its outdoor counterparts’ functions on searching, sharing, and labeling, we describe the data model and its components using the Unified Modeling Language (UML). We perform an SQL-based query experiment to demonstrate the potential use of the data model using sample data.


2013 ◽  
Vol 32 (2) ◽  
pp. 581-584
Author(s):  
Shu-min XIONG ◽  
Li-guan WANG ◽  
Zhong-qiang CHEN ◽  
Jian-hong CHEN

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Song Tian ◽  
Ximin Cui ◽  
Yu Gong

As a space-filling method, Voronoi Treemaps are used for showcasing hierarchies. Previously presented algorithms are limited to visualize nonspatial data. The approach of spatial Voronoi Treemaps is proposed in this paper to eliminate these problems by enabling the subdivisions for points, lines, and polygons with spatial coordinates and references. The digital distance transformation is recursively used to generate nested raster Voronoi polygons while the raster to vector conversion is used to create a vector-based Treemap visualization in a GIS (geographic information system) environment. The objective is to establish a spatial data model to better visualize and understand the hierarchies in the geographic field.


2012 ◽  
Vol 204-208 ◽  
pp. 4872-4877
Author(s):  
Da Xi Ma ◽  
Xiao Hong Liu ◽  
Li Wei Ma

By analyzing the attributes of three-dimensional space data model, the integrated 3D spatial data adopts object-oriented method for digital landslide modeling. It achieves spatial data modeling for landslide geological entity. An experimental case is given to indicate the feasibility of this approach for spatial data modeling.


2021 ◽  
Vol 14 (1) ◽  
pp. 37-54
Author(s):  
Song Tian

In geographical field, the researches on spatial hierarchies are extensive, but there is a lack of effective method to generate and express hierarchical spatial structures. As a frequently-used visualising method, Voronoi Treemaps are able to represent hierarchical data, but limited to displaying non-spatial data. The approach of geographical Voronoi Treemaps is proposed to solve these problems by allowing for spatial division from point features with spatial coordinates and references. Additionally, this enables to create hierarchical layouts in the form of Voronoi Treemap in GIS environments with the ArcGIS Engine. The generated layouts are saved in a geodatabase, which is convenient for adding GIS enhancements such as colouring, edge sizes, legends, borders, scales, and compass. The approach aims to establish a kind of spatial data model to represent urban hierarchies, organisation structures and region differences and so on, which expands the application range of Voronoi Treemaps in the geographical field.


2020 ◽  
Vol 22 (4) ◽  
pp. 447-468
Author(s):  
Zhangcai Yin ◽  
Zhanghaonan Jin ◽  
Shen Ying ◽  
Sanjuan Li ◽  
Qingquan Liu

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