scholarly journals Towards an Underground Utilities 3D Data Model for Land Administration

2019 ◽  
Vol 11 (17) ◽  
pp. 1957 ◽  
Author(s):  
Jingya Yan ◽  
Siow Jaw ◽  
Kean Soon ◽  
Andreas Wieser ◽  
Gerhard Schrotter

With the pressure of the increasing density of urban areas, some public infrastructures are moving to the underground to free up space above, such as utility lines, rail lines and roads. In the big data era, the three-dimensional (3D) data can be beneficial to understand the complex urban area. Comparing to spatial data and information of the above ground, we lack the precise and detailed information about underground infrastructures, such as the spatial information of underground infrastructure, the ownership of underground objects and the interdependence of infrastructures in the above and below ground. How can we map reliable 3D underground utility networks and use them in the land administration? First, to explain the importance of this work and find a possible solution, this paper observes the current issues of the existing underground utility database in Singapore. A framework for utility data governance is proposed to manage the work process from the underground utility data capture to data usage. This is the backbone to support the coordination of different roles in the utility data governance and usage. Then, an initial design of the 3D underground utility data model is introduced to describe the 3D geometric and spatial information about underground utility data and connect it to the cadastral parcel for land administration. In the case study, the newly collected data from mobile Ground Penetrating Radar is integrated with the existing utility data for 3D modelling. It is expected to explore the integration of new collected 3D data, the existing 2D data and cadastral information for land administration of underground utilities.

Author(s):  
Jingya YAN ◽  
Siow Wei JAW ◽  
Kean Huat SOON ◽  
Andreas WIESER ◽  
Gerhard SCHROTTER

Cities around the world face an increasing need for land as density in urban areas increases rapidly. The pressure to expand a city's space is especially acute for a city-state like Singapore. In the big data era, a data-driven approach of underground spaces is necessary for the sustainable development of a city along with rapid urbanization. A reliable three dimensional (3D) digital map of utility networks is crucial for urban planners to understand one of the most impactful aspects of underground space planning. How to map reliable 3D underground utility networks and use it in the land administration? This is a challenging issue, especially for cities with limited land resources, congested underground spaces, and a lack of uniform existing practices. First, this paper proposes a framework for utility data governance from the underground utility data survey to data usage. This is the backbone to support coordination of different roles in the utility data management and usage. Then, an initial design of the 3D utility cadastral data model is introduced, which aims to support the 3D modelling of utility networks and connect it to the cadastral parcel. It is expected that reliable and accurate information on underground utility networks can lead to a better understanding and management of underground space, which eventually contributes to better city planning, making the unseen structures visible.


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.


Author(s):  
Y.-H. Lu ◽  
J.-Y. Han

Abstract. Global Navigation Satellite System (GNSS) is a matured modern technique for spatial data acquisition. Its performance has a great correlation with GNSS receiver position. However, high-density building in urban areas causes signal obstructions and thus hinders GNSS’s serviceability. Consequently, GNSS positioning is weakened in urban areas, so deriving proper improvement resolutions is a necessity. Because topographic effects are considered the main factor that directly block signal transmission between satellites and receivers, this study integrated aerial borne LiDAR point clouds and a 2D building boundary map to provide reliable 3D spatial information to analyze topographic effects. Using such vector data not only reflected high-quality GNSS satellite visibility calculations, but also significantly reduced data amount and processing time. A signal obstruction analysis technique and optimized computational algorithm were also introduced. In conclusion, this paper proposes using superimposed column method to analyze GNSS receivers’ surrounding environments and thus improve GNSS satellite visibility predictions in an efficient and reliable manner.


Author(s):  
Gregorio Soria ◽  
L. M. Ortega Alvarado ◽  
Francisco R. Feito

Augmented reality (AR) has experienced a breakthrough in many areas of application thanks to cheaper hardware and a strong industry commitment. In the field of management of urban facilities, this technology allows virtual access and interaction with hidden underground elements. This paper presents a new approach to enable AR in mobile devices such as Google Tango, which has specific capabilities to be used outdoors. The first objective is to provide full functionality in the life-cycle management of subsoil infrastructures through this technology. This implies not only visualization, interaction, and free navigation, but also editing, deleting, and inserting elements ubiquitously. For this, a topological data model for three-dimensional (3D) data has been designed. Another important contribution of the paper is getting exact location and orientation performed in only a few minutes, using no additional markers or hardware. This accuracy in the initial positioning, together with the device sensing, avoids the usual errors during the navigation process in AR. Similar functionality has also been implemented in a nonubiquitous way to be supported by any other device through virtual reality (VR). The tests have been performed using real data of the city of Jaén (Spain).


2014 ◽  
Vol 608-609 ◽  
pp. 928-932
Author(s):  
Dong Ya Jin

The platform uses three-dimensional data modeling, visual simulation and spatial data storage to make the business of regulation center, operation and maintenance center and marketing and management center of Beijing Power grid implement visualized operation, and load the spatial information data, equipment data and operation data of Beijing power grid into the system platform, and the data is displayed with the form of graphic or image, which not only realizes managing space resource data in real three-dimensional scene, but also make the system operator to know the operation state of the system directly, and makes the control measures more effective. And the paper uses virtual reality technology to establish visual scene of ground to realize integrated visual display of power transformation, power transmission and power distribution, which not only makes the producers, managers and decision makers directly master the situation of production line in power station, but also realizes that producers and managers affiliate decision makers to formulate production plan.


Author(s):  
D. Shojaei ◽  
H. Olfat ◽  
M. Briffa ◽  
A. Rajabifard

Land development processes today have an increasing demand to access three-dimensional (3D) spatial information. Complex land development may need to have a 3D model and require some functions which are only possible using 3D data. Accordingly, the Intergovernmental Committee on Surveying and Mapping (ICSM), as a national body in Australia provides leadership, coordination and standards for surveying, mapping and national datasets has developed the Cadastre 2034 strategy in 2014. This strategy has a vision to develop a cadastral system that enables people to readily and confidently identify the location and extent of all rights, restrictions and responsibilities related to land and real property. <br><br> In 2014, the land authority in the state of Victoria, Australia, namely Land Use Victoria (LUV), has entered the challenging area of designing and implementing a 3D digital cadastre focused on providing more efficient and effective services to the land and property industry. LUV has been following the ICSM 2034 strategy which requires developing various policies, standards, infrastructures, and tools. Over the past three years, LUV has mainly focused on investigating the technical aspect of a 3D digital cadastre. This paper provides an overview of the 3D digital cadastre investigation progress in Victoria and discusses the challenges that the team faced during this journey. It also addresses the future path to develop an integrated 3D digital cadastre in Victoria.


Author(s):  
H. Visuri ◽  
J. Jokela ◽  
N. Mesterton ◽  
P. Latvala ◽  
T. Aarnio

<p><strong>Abstract.</strong> The amount and the quality of 3D spatial data are growing constantly, but the data is collected and stored in a distributed fashion by various data collecting organizations. This may lead to problems regarding interoperability, usability and availability of the data. Traditionally, national spatial data infrastructures have focused on 2D data, but recently there has been great progress towards introducing also 3D spatial data in governmental services. This paper studies the process of creating a country-wide 3D data repository in Finland and visualizing it for the public by using an open source map application. The 3D spatial data is collected and stored into one national topographic database that provides information for the whole society. The data quality control process is executed with an automated data quality module as a part of the import process to the database. The 3D spatial data is served from the database for the visualization via 3D service and the visualization is piloted in the National Geoportal.</p>


Author(s):  
L. Congedo ◽  
F. Baiocco ◽  
S. Brini ◽  
L. Liberti ◽  
M. Munafò

Public access to environmental information is granted by international law. The European Community has established an Infrastructure for Spatial Information (INSPIRE) in order to provide data and information to effected environmental policies. ISPRA coordinates the Italian Environmental Information and Monitoring System (SINA) and represents the national Inspire coordination structure. Moreover, ISPRA disseminates environmental information through reports, on-line services, and WebGis. Recently, a new WebGis has been developed to provide public access to environmental indicators data contained in the annual report on urban environment quality. Soil, water and air quality, waste, industrial risk, transport and mobility, acoustic and electromagnetic pollution, nature and biodiversity, tourism, and energy were analysed in 34 urban areas. The WebGis provides simple and powerful tools to analyze environmental dynamics of urban areas promoting participatory planning. It was designed to easily access and select the indicators data and to represent their spatial and temporal distribution.


2019 ◽  
Vol 8 (10) ◽  
pp. 441 ◽  
Author(s):  
Shaohua Wang ◽  
Yeran Sun ◽  
Yinle Sun ◽  
Yong Guan ◽  
Zhenhua Feng ◽  
...  

Three-dimensional (3D) pipe network modeling plays an essential part in high performance-based smart city applications. Given that massive 3D pipe networks tend to be difficult to manage and to visualize, we propose in this study a hybrid framework for high-performance modeling of a 3D pipe network, including pipe network data model and high-performance modeling. The pipe network data model is devoted to three-dimensional pipe network construction based on network topology and building information models (BIMs). According to the topological relationships of the pipe point pipelines, the pipe network is decomposed into multiple pipe segment units. The high-performance modeling of 3D pipe network contains a spatial 3D model, the instantiation, adaptive rendering, and combination parallel computing. Spatial 3D model (S3M) is proposed for spatial data transmission, exchange, and visualization of massive and multi-source 3D spatial data. The combination parallel computing framework with GPU and OpenMP was developed to reduce the processing time for pipe networks. The results of the experiments showed that the hybrid framework achieves a high efficiency and the hardware resource occupation is reduced.


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