Integrating Underwater Data into GIS for Offshore Decommissioning in Bass Strait, Australia

2021 ◽  
Author(s):  
Jamie Lambert ◽  
Melanie Bok ◽  
Azivy Aziz
Keyword(s):  
Decision Making ◽  
Data Integration ◽  
Gis Technology ◽  
Data Accessibility ◽  
Side Scan Sonar ◽  
Single View ◽  
Data Formats ◽  
Future Data ◽  
Gis Environment ◽  
Data Incorporate

Abstract Through asset lifecycle, data is collected for a variety of purposes across multiple disciplines, and exists in various formats and repositories. Decommissioning projects utilize and repurpose a multitude of these datasets; from use in analysis and planning, to facilitating systematic environmental assessments, and meaningful discussion with stakeholders. The key challenge is how do we consolidate historical data, incorporate new data, and make it evergreen to support planning and informed decision making; and how do we coordinate large volumes of previously disparate data in a meaningful way for all users with a simple access model? A team of geographic information system (GIS) practitioners and subject matter contacts in technical and health, safety and environment (HSE) disciplines was convened to collect, sort, and compile known historical offshore data, including, but not limited to; pipeline and structural inspections and environmental studies, all captured via Remote Operated Vehicle (ROV), Side Scan Sonar (SSS), and sampling programs. Data was reformatted to standardize headers and attributes allowing for merging of existing like-data and to support new data integration. To this end, we also worked collaboratively with vendors to optimize data collection and improve alignment with our internal data structures. The Esri GIS technology was utilized for data integration, specifically the web and mobile environments. Through these environments, non-GIS users could easily access data and focused applications, supporting ease of data visualization and allowing for a single view of data spanning decades and covering multiple themes. This enabled an enhanced understanding of the offshore environment, allowing us to identify gaps and focus areas for future data capture, helping to facilitate cross-discipline discussions, and identification of operational synergies; improving access, efficiency, and reducing decommissioning costs. Data integration resulting from this initiative and delivery through a spatially aware GIS environment is providing unprecedented access to a vast scope of cross-disciplinary data previously not possible with more traditional engineering methods and data formats. Data accessibility aids communication, and when combined with early engagement across multi-disciplinary teams, the path to decision making is reduced, synergies gained, and costs are reduced through improved efficiency and optimization.

scholarly journals HBIM-GIS INTEGRATION WITH AN IFC-TO-SHAPEFILE APPROACH: THE PALAZZO TROTTI VIMERCATE PILOT CASE STUDY

2021 ◽  
Vol VIII-4/W2-2021 ◽  
pp. 167-174
Author(s):  
M. Gabriele ◽  
M. Previtali
Keyword(s):  
Data Integration ◽  
Data Conversion ◽  
Data Format ◽  
Proprietary Software ◽  
Data Formats ◽  
Open Standard ◽  
Gis Environment ◽  
High Level ◽  
3D Software

Abstract. The proprietary software investments in the data integration field are incrementing, and the progresses are visible in the possibility to directly open in a GIS environment a 3D software data format. Still, this is limited to the integration between the proprietary data formats and standards, ArcGIS environment shapefile multipatch and Revit 3D model, by using a proprietary software (ArcGIS). This study takes advantage of the lesson-learnt results in the proprietary data integration field, wanting to replicate a similar result using the IFC open standard, which is not directly openable by a GIS interface and needs to overcome a conversion that in most of the cases leads to semantic and geometric losses. So, an IFC-to-shapefile data conversion was performed, stressing (i) the way information is stored in the attribute table to query the geometries and perform geoprocessing, by (ii) implementing workarounds to keep the Revit instances’ shared parameters in the IFC file, (iii) meanwhile having a high Level of Detail of the HBIM. The research performed the IFC-to-shapefile data conversion through FME (Feature Manipulation Engine), benefitting of the flexibility of the shapefile format and of the IFC’ possibility to keep a high LOD in the export phase. Both allowed to properly query and manage the elements of an HBIM in a GIS (ArcGIS environment), and, using relational attributes table, retrieve the information contained in each Revit instance’ property panel, as the shared parameters that implement the BIM Level of Information (LOI).

Study on the Military Environmental Information Management with GIS

2010 ◽  
Vol 113-116 ◽  
pp. 561-564
Author(s):  
Jian Ding ◽  
Ke Hong Wu ◽  
Zhi Bing Ding
Keyword(s):  
Decision Making ◽  
Information Management ◽  
Transportation Planning ◽  
Vital Role ◽  
Environmental Information ◽  
Gis Technology ◽  
Important Conclusion ◽  
Model Calculations ◽  
Hazardous Chemical ◽  
Application Fields

The application of GIS technology to Military Environmental Information(MEI) management will play a vital role in MEI management, and can lead to better decision-making. This paper discusses both the management method and the application fields. Case studies, like information management, pollution coverage evaluating, military transportation planning and monitoring, and decision-making supporting, are presented in this paper. Detailed digital basemap database, Digital Elevation Model(DEM) data, Digital OrthoImage Model(DOM) data, image database of Remote Sensing, Social economic element database, and other informations related to military features, can be integrated into MEI GIS, and will meet the needs for later query and statistics. Spatial analysis is the bridge that links fundamental data models to GIS technology. While buffer analysis can be used for identifying the locations of hazardous chemical storage sites in relation to residents living area, and can facilitate the evaluation of the threatened area in the event of a leak or spill of hazardous materials. Network analysis can be used in military transportation planning and monitoring. GIS is particularly useful in providing composite visual representation of fairly complex underlying model calculations, analysts can draw implicit and important conclusion from the already known geographical data. The study shows that the management of MEI using GIS technology is reasonable and feasible, and GIS is a highly efficient tool in MEI management.

scholarly journals CREGIS-Q: a GIS tool to support decision making in case of aquifer contamination emergency

2016 ◽  
Author(s):  
Anna Bruna Petrangeli ◽  
Elisabetta Preziosi ◽  
Francesco Campopiano ◽  
Angelo Corazza ◽  
Andrea Duro
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Open Source ◽  
Open Source Software ◽  
Aquifer Contamination ◽  
Gis Technology ◽  
Structure Programming ◽  
Spatial Decision Making ◽  
Environmental Risk Analysis ◽  
Support Decision Making

GIS technology has been used for many years in environmental risk analysis due to its capability to focus on the management and analysis of geographic and alphanumeric data to support spatial decision-making (Vairavamoorthy et al, 2007). Especially in emergency management, a DSS (Decision Support System) constitutes an important task to provide quick responses, though not completely exhaustive, to immediately handle a critical scenario and limit the possible damage. In the framework of a collaboration between the Water Research Institute and the National Civil Protection Department, a customized tool called CREGIS (ContaminazioneRisorseEvento-GIS) has been developed in order to facilitate the emergency management of accidental contamination of aquifers and support decision making (Preziosi et al, 2013). The tool is aimed at both national and local authorities in order to improve response capability for a better emergency management. Originally, the tool has been developed programming Python in an ArcGIS environment; but due to the great development and dissemination of open source software, our aim is to replicate the same structure programming Python in a GIS open source environment (QGIS). The review of the tool's code is still in progress. The goal is to make the tool (now named CREGIS-Q) free and accessible to a greater number of people and stakeholders.

scholarly journals CREGIS-Q: a GIS tool to support decision making in case of aquifer contamination emergency

2016 ◽  
Author(s):  
Anna Bruna Petrangeli ◽  
Elisabetta Preziosi ◽  
Francesco Campopiano ◽  
Angelo Corazza ◽  
Andrea Duro
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Open Source ◽  
Open Source Software ◽  
Aquifer Contamination ◽  
Gis Technology ◽  
Structure Programming ◽  
Spatial Decision Making ◽  
Environmental Risk Analysis ◽  
Support Decision Making

GIS technology has been used for many years in environmental risk analysis due to its capability to focus on the management and analysis of geographic and alphanumeric data to support spatial decision-making [Vairavamoorthy et al, 2007]. Especially in emergency management, a DSS (Decision Support System) constitutes an important task to provide quick responses, though not completely exhaustive, to immediately handle a critical scenario and limit the possible damage. In the framework of a collaboration between the Water Research Institute and the National Civil Protection Department, a customized tool called CREGIS (ContaminazioneRisorseEvento-GIS) has been developed in order to facilitate the emergency management of accidental contamination of aquifers and support decision making [Preziosi et al, 2013]. The tool is aimed at both national and local authorities in order to improve response capability for a better emergency management. Originally, the tool has been developed programming Python in an ArcGIS environment; but due to the great development and dissemination of open source software, our aim is to replicate the same structure programming Python in a GIS open source environment (QGIS). The review of the tool's code is still in progress. The goal is to make the tool (now named CREGIS-Q) free and accessible to a greater number of people and stakeholders.

scholarly journals Integração, Relacionamento e Representação de Dados em Cidades Inteligentes: Uma Revisão de Literatura

2018 ◽  
Author(s):  
Larysse Silva ◽  
José Alex Lima ◽  
Nélio Cacho ◽  
Eiji Adachi ◽  
Frederico Lopes ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Data Integration ◽  
Smart Cities ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Application Development ◽  
Continuous Integration ◽  
Heterogeneous Data Sources ◽  
Computational Systems

A notable characteristic of smart cities is the increase in the amount of available data generated by several devices and computational systems, thus augmenting the challenges related to the development of software that involves the integration of larges volumes of data. In this context, this paper presents a literature review aimed to identify the main strategies used in the development of solutions for data integration, relationship, and representation in smart cities. This study systematically selected and analyzed eleven studies published from 2015 to 2017. The achieved results reveal gaps regarding solutions for the continuous integration of heterogeneous data sources towards supporting application development and decision-making.

Scrutinizing the Barriers That Impede Industry 4.0 Projects

2019 ◽  
pp. 294-314
Author(s):  
Ömür Yaşar Saatçioğlu ◽  
Nergis Özispa ◽  
Gökçe T. Kök
Keyword(s):  
Decision Making ◽  
Data Integration ◽  
Industry 4.0 ◽  
Implementation Process ◽  
Structural Modeling ◽  
The Other ◽  
Research Institutions ◽  
Integration Process ◽  
Interpretive Structural Modeling ◽  
Utmost Care

The concept of Industry 4.0 has recently attracted attention from academics, research institutions, and companies. In order for projects to achieve success in Industry 4.0, project specifications must be known and they must be conducted with utmost care. While Industry 4.0 projects ensure lots of advantages, they encounter many risks such as data integration, process flexibility, and security problems. Identification of barriers to Industry 4.0 is important for the success of the projects. The aim of the chapter is to determine the Industry 4.0 barriers in implementation process in Turkey's conditions investigate the interrelations among them and develop a model that can measure the interacting effects of the barriers on the other barriers in the Industry 4.0 implementation process. To reach that aim, interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) are used. According to results, one of the most important findings is the lack of digital vision which found as the only affecting barrier and it affects all the other barriers.

The Role of GIS in City Competitiveness

2013 ◽  
pp. 1476-1501 ◽  
Author(s):  
Khan R. Rahaman ◽  
Júlia M. Lourenço
Keyword(s):  
Decision Making ◽  
Information System ◽  
Spatial Data ◽  
Information Access ◽  
Information Storage ◽  
Future Research ◽  
Gis Technology ◽  
Global Competitiveness ◽  
The World

Virtually every city and region is engaged in activities to improve their relative global competitiveness. The Geographic Information System (GIS) is one of the powerful tools of information storage and information access, providing spatial data to different stakeholders and cities across the world. This chapter will highlight the role of GIS technology in empirical assessment of the competition among cities or regions, using a variety of data assembled by many different individuals, businesses, and institutions. This valuable information can be used in decision-making by stakeholders who are taking part in the competition and can be disseminated, accessed, and updated in a dynamic way. This chapter discusses the origins of urban competitiveness, dynamics and functions of competition, and current and future research possibilities made possible by GIS.

Evacuation Planning and Spatial Decision Making

2011 ◽  
pp. 358-373 ◽  
Author(s):  
F. N. de Silva ◽  
R. W. Eglese ◽  
M. Pidd
Keyword(s):  
Decision Making ◽  
Technology Development ◽  
Emergency Planning ◽  
Evacuation Planning ◽  
Prototype System ◽  
Gis Technology ◽  
Decision Systems ◽  
Spatial Decision Making ◽  
Decision Making Processes ◽  
Evacuee Behavior

Issues concerning the development of Spatial Decision Systems for evacuation planning include realistic modelling of evacuee behavior, decision-making processes that take place during an evacuation, logistics, generating realistic scenarios, validation, technology development and trends for the future. These issues are discussed with reference to the development of a prototype system called CEMPS, which integrates simulation and GIS technology for emergency planning.

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