A boundary and voxel-based 3D geological data management system leveraging BIM and GIS

Khan, Muhammad Shoaib; Kim, In Sup; Seo, Jongwon

doi:10.1016/j.jag.2023.103277

Cited by 9 publications

(6 citation statements)

References 31 publications

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“…GIS is an important geospatial data analysis technique for smart city planning and analysis. It is a computer-based tool for representing, storing, analyzing, and managing geospatial data at multilevel, including city and rural (Khan et al, 2023). Collaborative between BIM and GIS can assist in obtaining an accurate analysis.…”

Section: Geospatial Data Analysis Techniques For Smart City Planningmentioning

confidence: 99%

Geospatial Techniques for Preparing the Requirements of 3D Modeling for Smart City Planning- Review paper

Sadiqe,

Jasim,

Al-Bakri

2023

IQJAP

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Geospatial technique, 3D modelling, Smart city.Developing smart city planning requires integrating various techniques, including geospatial techniques, building information models (BIM), information and communication technology (ICT), and artificial intelligence, for instance, threedimensional (3D) building models, in enabling smart city applications. This study aims to comprehensively analyze the role and significance of geospatial techniques in smart city planning and implementation. The literature review encompasses (74) studies from diverse databases, examining relevant solutions and prototypes related to smart city planning. The focus highlights the requirements and preparation of geospatial techniques to support the transition to a smart city. The paper explores various aspects, such as the advantages and challenges of geospatial techniques, data collection and analysis methodologies, and case studies showcasing successful implementations of smart city initiatives. The research concludes that geospatial techniques are instrumental in driving the development of smart cities. By analyzing and synthesizing the outcomes of the reviewed articles, this study establishes the essential contribution of geospatial techniques in successfully realizing the vision of smart cities.

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Section: Geospatial Data Analysis Techniques For Smart City Planningmentioning

confidence: 99%

Geospatial Techniques for Preparing the Requirements of 3D Modeling for Smart City Planning- Review paper

Sadiqe,

Jasim,

Al-Bakri

2023

IQJAP

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“…Concerning the primary distribution network, the medium voltage network is undoubtedly at the core of the electric distribution network (Khan et al, 2023). Does the network begin at the terminal of the HV?…”

Section: Attribute Data On Electricity Distributionmentioning

confidence: 99%

Leveraging Geospatial Technology for Enhanced Utility Management: A Case Study in Electrical Distribution Power Systems

Adekunle,

Alausa,

Adaradoun

et al. 2023

For. Geo.

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Over the years, electricity has developed into a crucial commodity for any nation. The need to evaluate the rate of electricity consumption in regard to utility management and the spatial distribution of major devices to facilitate appropriate planning within the estate is the motivation for this research. This study used geospatial technology to evaluate the electricity distribution to support planning and management in Omole Estate (Phase One) and environs within the city of Lagos, Nigeria. The focus was on determining the land use in study area, geolocations of the transformers, along with the cost of energy consumed per household. Spatial data for the research area was collected through a Hand-held GPS. Google Earth images were downloaded to supplement the data, and a comprehensive analysis of administered and recovered questionnaires was conducted to enrich the dataset. ArcGIS 10.6.1 software was employed to create the database and depict the area, whilst modifying all of the details required within. The result confirms that 72% of the respondents use electricity for domestic use, 18% for commercial use while 10% utilise it for domestic and commercial use. A significant portion of homes (33%) still use outdated postpaid meters and 35% of respondents do not know how much power they use at home each month or the cost per unit of that electricity. Regarding the respondents, 67% have a prepaid card/electrical meter installed (per kilowatt). Concerning cost, 10% of the respondents spends between N1000-N5000 for their monthly electricity consumption, 27% of the respondents between N5,000 and N10,000, 38% between N10,000 and N17,000, 24% between N17,000 and N25,000 and 2% above N25,000 per month on electricity. These findings will assist effective power distribution within the estate and provide guidance on charge rates for commercial power users which is approximately 28% overall.

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“…Through voxelization, intricate geospatial data can be transformed into structured and manageable data formats, greatly facilitating spatial analysis, retrieval, and visualization. This approach enables researchers to simulate and analyze the three-dimensional shape, spatial distribution, and attribute characteristics of geological bodies more precisely, thus providing powerful support for geological exploration, resource assessment, disaster warning, and other applications [11][12][13][14][15]. To address the high dimensionality issue in representing three-dimensional voxel models, this paper proposes a feature extraction and sequential representation method based on symbolic operators, mapping three-dimensional model data into one-dimensional sequences.…”

Section: Introductionmentioning

confidence: 99%

Similarity Measurement and Retrieval of Three-Dimensional Voxel Model Based on Symbolic Operator

He,

Liu,

Zhang

2024

IJGI

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Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more convenient. The exponential increase in the number of 3D models presents a significant challenge for model retrieval. Currently, these models are numerous and typically represented as point clouds or meshes, resulting in sparse data and high feature dimensions within the retrieval database. Traditional methods for 3D model retrieval suffer from high computational complexity and slow retrieval speeds. To address this issue, this paper combines spatial-filling curves with octree structures and proposes a novel approach for representing three-dimensional voxel model sequence data features, along with a similarity measurement method based on symbolic operators. This approach enables efficient similarity calculations and rapid dimensionality reduction for the three-dimensional model database, facilitating efficient similarity calculations and expedited retrieval.

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A boundary and voxel-based 3D geological data management system leveraging BIM and GIS

Cited by 9 publications

References 31 publications

Geospatial Techniques for Preparing the Requirements of 3D Modeling for Smart City Planning- Review paper

Geospatial Techniques for Preparing the Requirements of 3D Modeling for Smart City Planning- Review paper

Leveraging Geospatial Technology for Enhanced Utility Management: A Case Study in Electrical Distribution Power Systems

Similarity Measurement and Retrieval of Three-Dimensional Voxel Model Based on Symbolic Operator

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