scholarly journals REMOTE SENSING UAV/DRONE TECHNOLOGY AS A TOOL FOR URBAN DEVELOPMENT MEASURES IN APCRDA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 525-529 ◽  
Author(s):  
T. Preethi Latha ◽  
K. Naga Sundari ◽  
S. Cherukuri ◽  
M. V. V. S. V. Prasad
Keyword(s):  
Urban Planning ◽  
Web Application ◽  
Andhra Pradesh ◽  
Smart Cities ◽  
Development Planning ◽  
Added Value ◽  
Automated System ◽  
Maximum Efficiency ◽  
Cloud Data ◽  
Building Information

<p><strong>Abstract.</strong> Now-a-days, collecting accurate and meaningful information about the urban localities/environment with the maximum efficiency in terms of cost and time has become more relevant for urban, rural and city level development planning and administration. This work presents a technical procedure for automatic extraction of building information and characterization of different urban building types within the Andhra Pradesh Capital Region Development Authority (APCRDA) jurisdiction areas using UAVs. The methodology consists of a number of sequential processes of acquisition and generation of high resolution Orthomosaic images, creation of 3D point cloud data, and image classification algorithm for feature extraction using exclusively the geometric coordinates. The main parameters of the urban structures/buildings assessed in this work are site area of the building, built-up area, and building dimensions, building setbacks and building height. Different geometric and appropriate metrics were automatically extracted for each of the elements, defining the urban typology. In this study, residential and commercial buildings were considered for the analysis and the measurements from Drone were validated with respective approved plans and manual inspections and showed positive results with threshold parameters like setbacks and height as per building bye-laws of Andhra Pradesh Government Order (G.O) 119. Based on the results, measurements from Drone are used for the buildings occupancy permissions following the State government building rules. This automated system would replace physical inspections and manual reports and significantly reduce costs and improve efficiency. As an important component in this pilot study, visualisation of the building information were represented / displayed on a web application in an interactive mode. This added value of UAV technology with an automated system in comparison with traditional ways provides geospatial information and can also be considered as an essential Earth Observation indicator which has the potential to lead to next generation Urban Information Services and in the Smart cities development. The considerable potential use of these indicators in urban planning and development offers an opportunity in appropriate decision making in day to day urban planning measures.</p>

scholarly journals USING OPENSTREETMAP DATA TO GENERATE BUILDING MODELS WITH THEIR INNER STRUCTURES FOR 3D MAPS

2017 ◽  
Vol IV-2/W4 ◽  
pp. 411-416 ◽  
Author(s):  
Z. Wang ◽  
A. Zipf
Keyword(s):  
Urban Planning ◽  
Web Application ◽  
Incident Management ◽  
Indoor Environments ◽  
Building Structures ◽  
Building Models ◽  
Wide Range ◽  
Building Information ◽  
Building Components ◽  
Indoor And Outdoor

With the development of Web 2.0, more and more data related to indoor environments has been collected within the volunteered geographic information (VGI) framework, which creates a need for construction of indoor environments from VGI. In this study, we focus on generating 3D building models from OpenStreetMap (OSM) data, and provide an approach to support construction and visualization of indoor environments on 3D maps. In this paper, we present an algorithm which can extract building information from OSM data, and can construct building structures as well as inner building components (e.g., doors, rooms, and windows). A web application is built to support the processing and visualization of the building models on a 3D map. We test our approach with an indoor dataset collected from the field. The results show the feasibility of our approach and its potentials to provide support for a wide range of applications, such as indoor and outdoor navigation, urban planning, and incident management.

scholarly journals DIGITAL TWIN FOR INDOOR DISASTER IN SMART CITY: A SYSTEMATIC REVIEW

2022 ◽  
Vol XLVI-4/W3-2021 ◽  
pp. 315-322
Author(s):  
S. Shaharuddin ◽  
K. N. Abdul Maulud ◽  
S. A. F. Syed Abdul Rahman ◽  
A. I. Che Ani
Keyword(s):  
Urban Planning ◽  
Built Environment ◽  
Disaster Management ◽  
Smart City ◽  
Smart Cities ◽  
Environmental Disaster ◽  
Digital Twin ◽  
Digital Twins ◽  
Building Information ◽  
Recent Developments

Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.

scholarly journals HBIM GENERATION: EXTENDING GEOMETRIC PRIMITIVES AND BIM MODELLING TOOLS FOR HERITAGE STRUCTURES AND COMPLEX VAULTED SYSTEMS

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 139-148 ◽  
Author(s):  
F. Banfi
Keyword(s):  
Point Clouds ◽  
Added Value ◽  
Complex Objects ◽  
Digital Tool ◽  
Cloud Data ◽  
Wide Range ◽  
Building Information ◽  
Potential Applications ◽  
Building Life Cycle ◽  
Generative Modelling

<p><strong>Abstract.</strong> Today, the generation of smart models and digital archives able to accompany the management of architectural assets through the integration of advanced 3D survey techniques and Historic Building Information Modelling (HBIM) becomes an irremissible added value for the management of building life cycle. New international BIM standards are trying to give some guidelines to this new digital tool, which has demonstrated a wide range of potential applications in digital heritage, structural simulation, generative design, site management, restoration and daily maintenance activities. To manage a proper 3D reconstruction from point clouds, also known as Scan-to-BIM process, BIM experts typically use 3D application developed for the management of new buildings, which make it difficult to generate complex objects such as historic vaults and irregular and damaged walls. For these reasons, this study places the heart of its research in the integration of generative modelling in BIM application, proposing new Scan-to-BIM modelling requirements for complex vaulted systems and a novel add-in (a set of new functionalities for Autodesk Revit) able to improve the generation of complex elements from point cloud data. In particular, new modelling requirements such as novel grades of generation (GOG) and accuracy (GOA) are integrated within the Revit’s structure in order to improve the level of information connected to HBIM and consequently to support the decision making of restoration and rehabilitation projects of complex heritage structures.</p>

scholarly journals Exploring the smart-natural city interface; re-imagining and re-integrating urban planning and governance

2021 ◽  
Vol 2 ◽  
pp. 7
Author(s):  
Michael Grace ◽  
Alister J. Scott ◽  
Jonathan P. Sadler ◽  
David G. Proverbs ◽  
Nick Grayson
Keyword(s):  
Urban Planning ◽  
City Planning ◽  
Research Policy ◽  
Design Method ◽  
Smart Cities ◽  
Policy And Practice ◽  
Starting Point ◽  
Challenges And Opportunities ◽  
Building Information ◽  
Design Integration

Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities, green and biophilic thinking inform research, policy and practice agendas to varying extents.  However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration.  This research explores new conceptual ground at the Smart – Natural City interface within a safe interdisciplinary opportunity space.  Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatory learning and monitoring. The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite.  The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.

scholarly journals Exploring the smart-natural city interface; re-imagining and re-integrating urban planning and governance

2020 ◽  
Vol 2 ◽  
pp. 7
Author(s):  
Michael Grace ◽  
Alister J. Scott ◽  
Jonathan P. Sadler ◽  
David G. Proverbs ◽  
Nick Grayson
Keyword(s):  
Urban Planning ◽  
City Planning ◽  
Research Policy ◽  
Design Method ◽  
Smart Cities ◽  
Policy And Practice ◽  
Starting Point ◽  
Challenges And Opportunities ◽  
Building Information ◽  
Design Integration

Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities and green or biophilic thinking inform research, policy and practice agendas to varying extents.  However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration.  This research explores new conceptual ground at the Smart – Natural City interface within a safe new interdisciplinary opportunity space.  Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatory learning and monitoring. The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite.  The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.

scholarly journals BUILDING INFORMATION MODELLING OF A MULTI STOREY BUILDING USING TERRESTRIAL LASER SCANNER AND VISUALISATION USING POTREE: AN OPEN SOURCE POINT CLOUD RENDERER

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 421-426
Author(s):  
A. Yeshwanth Kumar ◽  
M. A. Noufia ◽  
K. A. Shahira ◽  
A. M. Ramiya
Keyword(s):  
Open Source ◽  
Web Application ◽  
Point Cloud ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Point Cloud Data ◽  
Building Information Modelling ◽  
Cloud Data ◽  
Building Information ◽  
Storey Building

Abstract. With the rapid development in infrastructure, the need to document man-made structures is in increasing demand and inevitable. Such a process of digital documentation of buildings is called Building Information Modelling (BIM). Conventional techniques of BIM involve manual drafting &amp; modelling using computer aided design, drafting &amp; modelling software. Although these techniques are more accurate, given the increase in the size and complexity of modern structures, it would be tedious and time consuming for such manual work. It is in this context LiDAR shows great potential to simplify this task. Laser scanning enables rapid mapping of a building with a high degree of spatial accuracy. Since the spatial point sampling distance of any LiDAR scanner is usually in the order of centimetres or millimetres, this has potential not only to generate high density scans of the building but also to identify even the smallest defects in a structure. This facilitates using LiDAR to study the serviceability of a building. In this project, the feasibility of using a terrestrial laser scanner (TLS) to scan a multi-storey building was investigated. Additionally, the reliability of Potree for visualising point cloud data was tested. Potree is an open-source WebGL based point cloud renderer. Potree enables us to render point clouds and visualise in a portable web application. This application is also capable of making measurements of high accuracy on the 3D model of the library. This could serve to be of great utility in surveying applications. The object of study was chosen as a six-storey building, each floor having differing layouts. Two of these storeys were below ground surface level which also proved to be a test for the reliability of TLS in challenging terrain. The building has a towering height and large footprint which made it a perfect candidate for this project. A total of 54 scans (44 interior scans and 10 exterior scans of the library) were acquired with each subsequent scan station not more than 10m apart from the previous one. This data was brought to the lab for further processing. The processing was carried out using open-source software packages (LAStools, CloudCompare, etc). After processing, the complete point cloud data had 483,292,994 points. In order to make the data easier to handle, spatial sub-sampling of the data was done after which the final point cloud had 87,789,548 points. Finally, this sub-sampled point cloud was published using the open source Potree Converter into an interactive web application.

scholarly journals A Novel Automated System for the Handling of Car Seat Wires on Plastic Over-Injection Molding Machines

Machines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 141
Author(s):  
F. J. G. Silva ◽  
M. R. Soares ◽  
L. P. Ferreira ◽  
A. C. Alves ◽  
M. Brito ◽  
...  
Keyword(s):  
Cycle Time ◽  
Added Value ◽  
Automated System ◽  
Production Cycle ◽  
Labor Costs ◽  
Molding Process ◽  
Car Seats ◽  
Car Seat ◽  
Productivity And Competitiveness ◽  
Plastic Injection

The structure of car seats is becoming increasingly complex, with mixing of wire conformation and plastic injection. The plastic over-molding process implies some labor, which can be reduced if novel solutions are applied in this manufacturing area. The handling of the wires used in car seats is the main problem identified in the process, wasting time both in the feeding and in the extraction of the molds used in the wire over-molding process. However, these machines are usually extremely compact and the free space around them is too short. In classic molding injection machines, there are just two half-molds, the female, and the male. In the over-molding process of wires used in car seats, three half-molds are used in order to increase the cycle time. Thus, to solve this problem, the classic robotic solutions are not appliable due to lack of space and elevated cost. This work describes the development of an automated solution able to handle the wires in both the feeding and the extracting phases of the production cycle, avoiding the traditional labor costs associated with this type of machine. Departing from an industrial need, the developed novel solution is described in detail and can be successfully adapted to other situations of low added-value products where it is needed to increase the productivity and competitiveness of the product. The system developed uses mechanical and pneumatic solutions which, combined, can be used to solve the identified problem, occupying a restricted space and requiring a small budget. This solution can be translated into guidelines that will allow the analysis of situations where the same system can be applied.

scholarly journals Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique

2021 ◽  
Vol 13 (10) ◽  
pp. 1889
Author(s):  
Junxiang Zhu ◽  
Peng Wu
Keyword(s):  
Computer Graphics ◽  
Smart City ◽  
Smart Cities ◽  
Information Modeling ◽  
Data Conversion ◽  
Geography Markup Language ◽  
Building Models ◽  
Digital Twins ◽  
Gis Data ◽  
Building Information

The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM-to-GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC-to-shapefile conversion is easier and more flexible to realize than the IFC-to-CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM-to-GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth.

scholarly journals City intelligence for enhancing urban performance value: a conceptual study on data decomposition in smart cities

2021 ◽  
Vol 5 (1) ◽  
pp. 191-222
Author(s):  
Karima Kourtit
Keyword(s):  
Urban Planning ◽  
Urban Policy ◽  
Urban Governance ◽  
Smart Cities ◽  
Urban System ◽  
Current Data ◽  
Urban Life ◽  
Data Decomposition ◽  
Blowing Up ◽  
Technology Age

AbstractThe contemporary ‘digital age’ prompts the need for a re-assessment of urban planning principles and practices. Against the background of current data-rich urban planning, this study seeks to address the question whether an appropriate methodological underpinning can be provided for smart city governance based on a data-driven planning perspective. It posits that the current digital technology age has a drastic impact on city strategies and calls for a multi-faceted perspective on future urban development, termed here the ‘XXQ-principle’ (which seeks to attain the highest possible level of quality for urban life). Heterogeneity in urban objectives and data embodied in the XXQ-principle can be systematically addressed by a process of data decomposition (based on a ‘cascade principle’), so that first, higher-level urban policy domains are equipped with the necessary (‘big’) data provisions, followed by lower-ranking urban governance levels. The conceptual decomposition principle can then be translated into a comprehensive hierarchical model architecture for urban intelligence based on the ‘flying disc’ model, including key performance indicators (KPIs). This new model maps out the socio-economic arena of a complex urban system according to the above cascade system. The design of this urban system architecture and the complex mutual connections between its subsystems is based on the ‘blowing-up’ principle that originates from a methodological deconstruction-reconstruction paradigm in the social sciences. The paper advocates the systematic application of this principle to enhance the performance of smart cities, called the XXQ performance value. This study is not empirical, although it is inspired by a wealth of previous empirical research. It aims to advance conceptual and methodological thinking on principles of smart urban planning.

scholarly journals A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Simon Elias Bibri
Keyword(s):  
Smart Cities ◽  
Case Study Research ◽  
Development Planning ◽  
Three Dimensions ◽  
Data Driven ◽  
Sustainable Cities ◽  
Sustainable Urbanism ◽  
The Future ◽  
Novel Model ◽  
Smart Urbanism

AbstractIn recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven technologies. Indeed, the processes and practices of both of these approaches to urban planning and development are becoming highly responsive to a form of data-driven urbanism, giving rise to a new phenomenon known as “data-driven smart sustainable urbanism.” Underlying this emerging approach is the idea of combining and integrating the strengths of sustainable cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable sustainable cities to optimize, enhance, and maintain their performance on the basis of the innovative data-driven technologies offered by smart cities. These strengths and synergies can be clearly demonstrated by combining the advantages of sustainable urbanism and smart urbanism. To enable such combination, major institutional transformations are required in terms of enhanced and new practices and competences. Based on case study research, this paper identifies, distills, and enumerates the key benefits, potentials, and opportunities of sustainable cities and smart cities with respect to the three dimensions of sustainability, as well as the key institutional transformations needed to support the balancing of these dimensions and to enable the introduction of data-driven technology and the adoption of applied data-driven solutions in city operational management and development planning. This paper is an integral part of a futures study that aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future. I argue that the emerging data-driven technologies for sustainability as innovative niches are reconfiguring the socio-technical landscape of institutions, as well as providing insights to policymakers into pathways for strengthening existing institutionalized practices and competences and developing and establishing new ones. This is necessary for balancing and advancing the goals of sustainability and thus achieving a desirable future.

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