MANAGING 3D ASSET MANAGEMENT USING CITYGML CONCEPT

This paper introduces a novel approach for mapping process description with Scan data to Building Information Modeling (BIM) in a 3D Geographic Information System (GIS). The methodology focuses on automatically generating building mass and facade information on the GIS platform using Point Cloud Data (PCD) of Airborne Laser Scanning (ALS). Advanced scanning techniques capture detailed geometry from the physical site and generate high-resolution point clouds, which are processed to create 3D models for GIS integration. The critical contribution of this research lies in a scalable Scan to BIM mapping process, which can be used for generating building footprints and masses, including attributes, on 3D GIS. The resulting integrated BIM–GIS dataset provides an accurate building mass, facade information, facility asset management, and architectural design and facilitates improved decision-making in urban planning based on enhanced visualization, analysis, and simulation. This study suggests a flexible Scan to BIM mapping process description based on use cases, including algorisms. Through prototype development, a case study demonstrates the effectiveness of the process approach, the automatic generation of BIM on a 3D GIS platform, and reducing the manual efforts. The proposed method automatically creates DEM, SHP, GeoJSON, IFC, and coordinate system information from scan data and can effectively map building objects in 3D GIS.

In this thesis, concepts for developing Spatial Data Infrastructures with an emphasis on visualizing 3D landscape and city models in distributed environments are discussed. Spatial Data Infrastructures are important for public authorities in order to perform tasks on a daily basis, and serve as research topic in geo-informatics. Joint initiatives at national and international level exist for harmonizing procedures and technologies. Interoperability is an important aspect in this context - as enabling technology for sharing, distributing, and connecting geospatial data and services. The Open Geospatial Consortium is the main driver for developing international standards in this sector and includes government agencies, universities and private companies in a consensus process. 
\n3D city models are becoming increasingly popular not only in desktop Virtual Reality applications but also for being used in professional purposes by public authorities. Spatial Data Infrastructures focus so far on the storage and exchange of 3D building and elevation data. For efficient streaming and visualization of spatial 3D data in distributed network environments such as the internet, concepts from the area of real time 3D Computer Graphics must be applied and combined with Geographic Information Systems (GIS). For example, scene graph data structures are commonly used for creating complex and dynamic 3D environments for computer games and Virtual Reality applications, but have not been introduced in GIS so far. 
\nIn this thesis, several aspects of how to create interoperable and service-based environments for 3D spatial data are addressed. These aspects are covered by publications in journals and conference proceedings. The introductory chapter provides a logic succession from geometrical operations for processing raw data, to data integration patterns, to system designs of single components, to service interface descriptions and workflows, and finally to an architecture of a complete distributed service network.
\nDigital Elevation Models are very important in 3D geo-visualization systems. Data structures, methods and processes are described for making them available in service based infrastructures. A specific mesh reduction method is used for generating lower levels of detail from very large point data sets. An integration technique is presented that allows the combination with 2D GIS data such as roads and land use areas. This approach allows using another optimization technique that greatly improves the usability for immersive 3D applications such as pedestrian navigation: flattening road and water surfaces. It is a geometric operation, which uses data structures and algorithms found in numerical simulation software implementing Finite Element Methods. 
\n3D Routing is presented as a typical application scenario for detailed 3D city models. Specific problems such as bridges, overpasses and multilevel networks are addressed and possible solutions described. The integration of routing capabilities in service infrastructures can be accomplished with standards of the Open Geospatial Consortium. An additional service is described for creating 3D networks and for generating 3D routes on the fly. Visualization of indoor routes requires different representation techniques.
\nAs server interface for providing access to all 3D data, the Web 3D Service has been used and further developed. Integrating and handling scene graph data is described in order to create rich virtual environments. Coordinate transformations of scene graphs are described in detail, which is an important aspect for ensuring interoperability between systems using different spatial reference systems. The Web 3D Service plays a central part in nearly all experiments that have been carried out. It does not only provide the means for interactive web-visualizations, but also for performing further analyses, accessing detailed feature information, and for automatic content discovery.
\nOpenStreetMap and other worldwide available datasets are used for developing a complete architecture demonstrating the scalability of 3D Spatial Data Infrastructures. Its suitability for creating 3D city models is analyzed, according to requirements set by international standards. A full virtual globe system has been developed based on OpenStreetMap including data processing, database storage, web streaming and a visualization client.
\nResults are discussed and compared to similar approaches within geo-informatics research, clarifying in which application scenarios and under which requirements the approaches in this thesis can be applied.
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Geographic Information System (GIS) is a method of expressing objects in a space. Currently, many research and developments are being conducted to implement 3D GIS. In previous studies, 3D GIS applications have been developed using Unity 3D, which is a 3D engine with good development accessibility. However, it requires manual work to enter various formats of GIS data, making it difficult to immediately reflect GIS data that change frequently. To improve this problem, this study developed a method for automatically reading and outputting various GIS data from the existing Unity 3D application. The improved application could read Satellite Images, Aerial Photographs, Digital Elevation Models (DEM) and Shapefiles with no transformation through other commercial programs, and they could be implemented as 3D objects. This study automated the GIS data conversion which had been manually performed and as a result, the manpower, time, and resources required for 3D GIS implementation can be saved.

Abstract. The integration of Building Information Modelling (BIM) and Geographical Information Systems (GIS) is gaining momentum in digital built Asset Management (AM), and has the potential to improve information management operations and provide advantages in process control and delivery of quality AM services, along with underlying data management benefits through entire life cycle of an asset. Work has been carried out relating GeoBIM/AM to buildings as well as infrastructure assets, where the potential financial savings are extensive. While information form BIM maybe be sufficient for building-AM; for infrastructure AM a combination of GIS and BIM is required. Scientific literature relating to this topic has been growing in recent years and has now reached a point where a systematic analysis of current and potential uses of GeoBIM in AM for Infrastructure is possible. Three specific areas form part of the analysis – a review of BIM and Infrastructure AM and GIS and Infrastructure AM leads to a better understanding of current practice. Combining the two, a review of GeoBIM and Infrastructure AM allows the benefits of, and issues relating to, GeoBIM to be clearly identified, both at technical and operational levels. A set of 54 journal articles was selected for in-depth contents analysis according to the AM function addressed and the managed asset class. The analysis enabled the identification of three categories of issues and opportunities: data management, interoperability and integration and AM process and service management. The identified knowledge gaps, in turn, underpin problem definition for the next phases of research into GeoBIM for infrastructure AM.

The inherent geographic nature of displacement in refugee camps is requiring further use of Geographic Information Systems (GIS) technology for community-based information and asset management. Additionally, refugees have a fundamental need for livelihood development in host countries due to the protracted nature of displacement. This paper presents our work on the Refugee GIS or ‘RefuGIS’ project that addresses these two topics via a training and capacity building education program and community mobilization efforts. RefuGIS is currently at the prototype level of development in the Za'atari Syrian Refugee Camp in northern Jordan. RefuGIS is the one of world's first efforts at enabling GIS capacity among refugees themselves and was funded by a grant from the United Nations High Commissioner for Refugees (UNHCR) Innovation fund. Specifically, this paper will discuss (a) design of the RefuGIS educational program via utilization of a non-profit GIS software donation, hardware procurement and customized GIS educational curriculum, (b) selection of refugee participants through spatial thinking aptitude testing, (c) practical experiences and lessons learned from education, training, and capacity building of refugees on the topics of GIS and related information technology skills, (d) insights into use of GIS as a community information and asset management tool by refugees themselves as demonstrated by evaluation of project outputs such as reference mapping products and field surveys conducted by refugees. Lessons learned from the RefuGIS project, even at the prototype stage, have potential to inform other refugee community information and asset management projects. Since creation of the project, refugees in Za'atari camp have been able to obtain cash-for-work GIS jobs in Za'atari using the skills learned via the RefuGIS project. The RefuGIS project demonstrates the refugee livelihood potential that training and capacity building around GIS can build as well as the empowerment effect that technology education and livelihood development can bring to refugees.

With the rapid development of the power system and the increasing complexity of the power grid structure, users’ demand for information-based management of the power distribution network is growing, and the need to improve various power production service standards is becoming increasingly urgent. Geographic information systems (GIS) are a natural combination of geographic and data attributes that are particularly well suited to the management of urban pipeline systems such as distribution and telecommunication networks. This paper discusses the current application characteristics and challenges of 3D GIS in the power system. A 3D graphic analysis model of the power grid and its realization method are proposed using 2D GIS and scene simulation technology combined with object-oriented design method. The problems that exist in current urban distribution facility management are solved in this paper through the effective integration of information construction and distribution facility management, and the goal of refined management is achieved on this basis. More and more complex 3D spatial data can be processed more realistically and intuitively with 3D GIS.

Developing a three-dimensional (3D) data model for Geographic Information Systems (GIS) is an essential and complex issue. 3D modelling in GIS is becoming ever more important for the development of cyber cities and digital earth, which have recently become feasible. A competent 3D model forms an efficient foundation for 3D visualization, query and spatial analysis. As a development of the existing 3D models, this study proposes particular improvements in handling complex 3D objects. We present an object-oriented data model for handling complex 3D objects in GIS. First, the conceptual data model is developed based on the principle of object-oriented (OO) data modelling. This model is designed based on the following three basic geometric elements: node, segment and triangle. Accordingly, the abstract geometric objects are defined: including points, lines, surfaces and volumes. Second, the corresponding 3D logical model is designed based on the defined abstract objects and the relationships between them. Third, a formal representation of the 3D spatial objects is described in detail. Fourth, a prototype 3D GIS is developed based on the proposed 3D data model. Finally, we describe the results of an experimental study to reconstruct 3D objects using this 3D GIS and a comparison with the performance of other 3D data models. The proposed model is able to handle complex objects, such as complex buildings and TV towers, which is an essential functionality for building large-scale cyber cities, such as for Hong Kong. The proposed data model proves to be very efficient, particularly in visualization and rendering. The experimental results show which the data volume of the proposed model is compacted and the visualization speed for 3D objects is improved, compared with the existing models.

In the domain of building management, the absence of timely damage assessment and proactive preventive intervention plans, compounded by inherent aging processes, accelerates the degradation of structures. Current systems for condition assessment and decision support exhibit deficiencies in capturing and retrieving detailed information, resulting in ineffective decisions and significant financial losses. This comprehensive literature review explores condition assessment and maintenance of existing buildings through the integration of geographic information system (GIS) and building information modelling (BIM). GIS and BIM are essential tools for digitising data on the functional, spatial, and physical aspects of buildings. The review emphasises the synergistic potential of GIS and BIM, addressing challenges in interoperability, data modelling, and visualisation. Key findings underscore the importance of improved architectural frameworks to facilitate seamless data integration across diverse GIS, BIM, and facility management tools. The paper also highlights future research directions, including the integration of deep learning and machine learning for predictive maintenance of buildings integrated to their surroundings. In addition, it emphasises the role of Internet of Things technologies, automation, and advancements in 3D GIS and virtual reality for enhancing data collection, visualisation, and decision-making aspects in building condition assessment and maintenance.

Since the Act on the Construction, etc. of Ubiquitous Cities was enacted in 2008, Ubiquitous City Planning has been established by many municipalities to improve urban competitiveness, to promote the sustainable development and to consider the quality of life through the efficient construction and operation of a ubiquitous city. However, the Ubiquitous City Planning has limits of the absence of objective methodology, spatial scheme and consideration of locality. Thus, this study aims to construct objective methodology of the Smart City Planning by establishing STIM methodology based on the Smart City architecture: the Smart City Services (S), the Smart City Technology (T), the Smart City Infrastructure (I) and the Smart City Management (M). By applying the STIM methodology to ‘the Ubiquitous City Planning Guideline’, the connectivity between each item was analyzed. As a result, 11 out of 14 items were drawn from the Ubiquitous City Planning except mutual cooperation, development and promotion of local industries and international cooperation between ubiquitous cities. These results and the STIM methodology may contribute to the future Smart City Planning beyond the lack of present Ubiquitous City Planning.

In the years after 1994, the democratic government of South Africa worked to transfer and extend basic service provision to practically all sections of the country. The delivery of public services continues to be an embarrassment to humanity and the developmental state. Without proper basic services such as water, sanitation, power, infrastructure, health facilities, and housing, a large section of South Africa’s people would continue to live and die. As a result, society remains disenfranchized and exposed to socioeconomic shocks, contributing to the economy's decline and destruction. To support successful service delivery, the integration of Geographical Information Systems (GIS) as a shift from human-led operations to computerized operations is now recognized and required in municipal planning and management. The central purpose of this study is to evaluate the feasibility of applying GIS as a crucial planning tool infused within integrated development planning in municipal planning and management. The current state of service delivery in existing municipal planning and management procedures, as well as the factors that influence it and the effect it has on society, will be examined. This conceptual study employs secondary data and follows a certain methodology. Using the Critical Discourse Analysis (CDA) methodology, secondary data were examined. The results demonstrate that political influence and manipulation, a lack of openness and accountability, insufficient citizen participation, a lack of personnel capability, and poor planning, monitoring, and evaluation contribute to poor public service delivery in South Africa. Furthermore, the findings indicate that GIS functions as a tool for visualization and collation of spatial information, map production, and data capturing and storage in local municipalities with the aim of enhancing public service delivery.

Creation of a consistent 3D model of a city requires accurate data. Usually, accuracy assurance problems of data are solved by time consuming and expensive process of collecting and aligning with ground control points (GCP). Therefore, alternative methods become important. Using existing Geographic Information Systems (GIS) databases may decrease the time and cost of creating a reference dataset by reducing the number of GCPs required for producing high quality 3D data or GIS databases can serve as reference data. For this purpose, new spatial data analysis methods are needed to assure that GIS databases are of high-quality. In this paper, we propose a novel methodology and its sample development for comparative spatial analysis of digitized point cloud and the corresponding GIS database in order to statistically assess opportunities to align Mobile Mapping Systems (MMS) data with existing GIS databases or to improve involved datasets. The method is evaluated using LiDAR data provided by Estonian company Reach-U Ltd. and GIS database layers from different Estonian open and closed databases.

While the use of three-dimensional (3D) geographical information system (GIS) is becoming in rapid development and being used in various fields such as urban and regional planning, disaster management and planning, mobile navigation and etc., commercial and open source GIS software packages tend to offer 3D-GIS functionalities for their products. On the basis, GIS analysis functions are to provide information with respect to geographical location and by having 3D spatial data as an input, it will give advantages in providing horizontal position information. However, to analyze moving objects (temporal) in 3D seems not an easy task and not fully supported by current GIS platform packages. Previously in two-dimensional (2D) GIS practice, main issue addressed by researchers in managing temporal spatial objects is GIS packages were designed based on hardware and software constraints whereby it should be based on the temporal spatial objects ontology. Nowadays, the trend of managing temporal 3D data is via 3D spatial simulation or animation. This approach will not in assistance for GIS users in conducting spatial queries. Without having a suitable ontology and valid topological data structure for temporal 3D data, it will cause repetitive of temporal data (redundancy) and complications in executing spatial analysis in 3D environment. Therefore this paper focuses on the ontology for managing moving 3D spatial objects (i.e. air pollution, flood). The characteristics of moving objects were reviewed thoroughly by categorizing it based on its different appearances. Moreover, existing methods in managing temporal database were addressed and discussed for its practicalities. Another important aspect in managing temporal 3D objects is the implementation of topological data structures for 3D spatial objects were reviewed. In the last section of this paper it summarized the issues and further ideas towards implementing and managing temporal 3D spatial objects in GIS based on the Geoinformation Ontology (GeO).

Peer-to-peer visualization of very large 3D landscape and city models using MPEG-4

This chapter aims to explore the application of Internet of Things (IoT) and machine learning (ML) in assessing the planning and management of smart cities and new towns. Additionally, we have discussed the possible solutions that combine IoT and ML opportunities in this field. Similarly, our results support that ML and IoT optimize resources, address environmental challenges and enhance citizen well-being by using real-time data and predictive models. However, challenges such as interoperability, cybersecurity, data protection, algorithmic bias and high costs must be addressed. Finally, we support that by adopting transparent governance and innovation, smart cities and new towns can build resilient urban ecosystems that prioritize the needs of their residents and ensure equitable development.

GIS (Geographic Information Systems) are concerned with the manipulation and analysis of spatial data at a "Geographic" scale. Apart from issues of storage, database query and visualization, they must deal with several significantly different types of spatial information. These may be roughly classified as: discrete objects; networks; polygonal maps; and surfaces. Each of these has a specific set of assumptions associated with it, a specific data structure, and a specific set of algorithms. This produces a high level of complexity in the construction, manipulation, analysis and comparison of these datasets. We demonstrate that when "here " is replaced by "closest to here " the resulting proximal query (a Voronoi diagram) may be used to manipulate the four categories described above, with a resulting simplification of the system. All discrete objects become "fields ", with a value at any location. These fields provide the 'context' of the object, and many applications require both the primal and dual for analysis: the Quad-Edge is therefore the data structure of choice. Thus in 2D the 'context' the dual set of adjacent neighbours and neighbourhoods, as identified by the Voronoi diagram greatly assists in the interpretation and analysis of the data. In 3D the same thing holds true: the dual graph of the 3D object set in 3D GIS perhaps a model of the rooms of a building interior gives a clear structure for expressing their adjacency relations. A direct modification of the Quad-Edge - splitting the four parts into two pairs, each containing one primal and one dual half-edge -provides a structure appropriate for CAD-type nonmanifold modelling, which we demonstrate by the construction of a large building complex, using Euler-type operators. Thus, again, the dual graph provides the context for the (primal) geometric data.