CityThings: An integration of the dynamic sensor data to the 3D city model

2020 ◽  
pp. 239980832098300
Author(s):  
Thunyathep Santhanavanich ◽  
Volker Coors
Keyword(s):  
Smart Cities ◽  
Application Programming Interface ◽  
Sensor Data ◽  
Solar Panels ◽  
Model Data ◽  
3D City Model ◽  
Application Programming ◽  
City Model ◽  
Open Geospatial Consortium ◽  
The Internet Of Things

Devices from the Internet of Things are being increasingly used in everyday life, and they provide a massive amount of data in various formats. While implementing the Smart Cities initiative, these data are integrated and utilized together with the 3D city model for further applications. Based on Open Geospatial Consortium standards, heterogeneous sensor data can be integrated with the Open Geospatial Consortium SensorThings Application Programming Interface. Similarly, the 3D city model data can be stored and exchanged with the Open Geospatial Consortium CityGML format. However, currently, there is no concrete model to integrate these sensor data with the 3D city model using the Open Geospatial Consortium standards. The existing solution for integrating the sensor data into the 3D city model requires an extension or plug-in for adding the data to the CityGML model. In this paper, we introduce the concept of “CityThings” to integrate dynamic sensor data from the Open Geospatial Consortium SensorThings API into the CityGML 3D city models. We demonstrate the implementation of the CityThings concept in the Smart Villages project in the study area of Wüstenrot, Germany, by integrating dynamic sensor data from several systems including solar panels, agro-thermal plants, and weather monitoring sensors to visualize the sensor data with the 3D city model on the web platform. In the future, this concept can be applied to interconnect dynamic sensor data and 3D city model data in other Smart Cities applications.

scholarly journals Creating Open Online Applications with Geospatial Interfaces - Case Study "Palvelututka"

2021 ◽  
Vol 27 (2) ◽  
pp. 1-14
Author(s):  
Juho-Pekka Virtanen ◽  
Arttu Julin ◽  
Kaisa Jaalama ◽  
Hannu Hyyppä
Keyword(s):  
Three Dimensional ◽  
Application Programming Interface ◽  
Application Development ◽  
Data Set ◽  
3D City Model ◽  
Combined Use ◽  
Application Programming ◽  
City Model ◽  
City Models

Three-dimensional city models are an increasingly common data set maintained by many cities globally. At the same time, the focus of research has shifted from their production to their utilization in application development. We present the implementation of a demonstrator application combining the online visualization of a 3D city information model with the data from an application programming interface. By this, we aim to demonstrate the combined use of city APIs and 3D geospatial assets, promote their use for application development and show the performance of existing, openly available tools for 3D city model application development

scholarly journals FIRST STEPS TOWARDS AN INTEGRATED CITYGML-BASED 3D MODEL OF VIENNA

2016 ◽  
Vol III-4 ◽  
pp. 139-146 ◽  
Author(s):  
G. Agugiaro
Keyword(s):  
Energy Use ◽  
Smart Cities ◽  
Three Dimensional ◽  
3D City Model ◽  
First Results ◽  
Sustainable Energy Systems ◽  
City Model ◽  
Set Up ◽  
The City ◽  
City Models

This paper presents and discusses the results regarding the initial steps (selection, analysis, preparation and eventual integration of a number of datasets) for the creation of an integrated, semantic, three-dimensional, and CityGML-based virtual model of the city of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. It is being adopted by more and more cities all over the world. <br><br> The work described in this paper is embedded within the European Marie-Curie ITN project “Ci-nergy, Smart cities with sustainable energy systems”, which aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities. Given the scope and scale of the project, it is therefore vital to set up a common, unique and spatio-semantically coherent urban model to be used as information hub for all applications being developed. This paper reports about the experiences done so far, it describes the test area and the available data sources, it shows and exemplifies the data integration issues, the strategies developed to solve them in order to obtain the integrated 3D city model. The first results as well as some comments about their quality and limitations are presented, together with the discussion regarding the next steps and some planned improvements.

scholarly journals Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

2020 ◽  
Vol 9 (8) ◽  
pp. 476 ◽  
Author(s):  
Dušan Jovanović ◽  
Stevan Milovanov ◽  
Igor Ruskovski ◽  
Miro Govedarica ◽  
Dubravka Sladić ◽  
...  
Keyword(s):  
Smart Cities ◽  
Airborne Lidar ◽  
3D City Models ◽  
3D City Model ◽  
City Model ◽  
Novi Sad ◽  
The University ◽  
The City ◽  
City Models

The Smart Cities data and applications need to replicate, as faithfully as possible, the state of the city and to simulate possible alternative futures. In order to do this, the modelling of the city should cover all aspects of the city that are relevant to the problems that require smart solutions. In this context, 2D and 3D spatial data play a key role, in particular 3D city models. One of the methods for collecting data that can be used for developing such 3D city models is Light Detection and Ranging (LiDAR), a technology that has provided opportunities to generate large-scale 3D city models at relatively low cost. The collected data is further processed to obtain fully developed photorealistic virtual 3D city models. The goal of this research is to develop virtual 3D city model based on airborne LiDAR surveying and to analyze its applicability toward Smart Cities applications. It this paper, we present workflow that goes from data collection by LiDAR, through extract, transform, load (ETL) transformations and data processing to developing 3D virtual city model and finally discuss its future potential usage scenarios in various fields of application such as modern ICT-based urban planning and 3D cadaster. The results are presented on the case study of campus area of the University of Novi Sad.

scholarly journals Serverless Geospatial Data Processing Workflow System Design

2021 ◽  
Vol 11 (1) ◽  
pp. 20
Author(s):  
Mete Ercan Pakdil ◽  
Rahmi Nurhan Çelik
Keyword(s):  
Data Processing ◽  
System Design ◽  
Application Programming Interface ◽  
Geospatial Data ◽  
Proof Of Concept ◽  
The Public ◽  
Workflow System ◽  
Application Programming ◽  
Open Geospatial Consortium ◽  
Programming Interface

Geospatial data and related technologies have become an increasingly important aspect of data analysis processes, with their prominent role in most of them. Serverless paradigm have become the most popular and frequently used technology within cloud computing. This paper reviews the serverless paradigm and examines how it could be leveraged for geospatial data processes by using open standards in the geospatial community. We propose a system design and architecture to handle complex geospatial data processing jobs with minimum human intervention and resource consumption using serverless technologies. In order to define and execute workflows in the system, we also propose new models for both workflow and task definitions models. Moreover, the proposed system has new Open Geospatial Consortium (OGC) Application Programming Interface (API) Processes specification-based web services to provide interoperability with other geospatial applications with the anticipation that it will be more commonly used in the future. We implemented the proposed system on one of the public cloud providers as a proof of concept and evaluated it with sample geospatial workflows and cloud architecture best practices.

scholarly journals AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1345 ◽  
Author(s):  
Carson Leung ◽  
Peter Braun ◽  
Alfredo Cuzzocrea
Keyword(s):  
Supervised Learning ◽  
Information Fusion ◽  
Smart Cities ◽  
Satellite System ◽  
Sensor Data ◽  
Fusion System ◽  
Sensor Information ◽  
Global Navigation Satellite ◽  
Effective Integration ◽  
The Internet Of Things

In recent years, artificial intelligence (AI) and its subarea of deep learning have drawn the attention of many researchers. At the same time, advances in technologies enable the generation or collection of large amounts of valuable data (e.g., sensor data) from various sources in different applications, such as those for the Internet of Things (IoT), which in turn aims towards the development of smart cities. With the availability of sensor data from various sources, sensor information fusion is in demand for effective integration of big data. In this article, we present an AI-based sensor-information fusion system for supporting deep supervised learning of transportation data generated and collected from various types of sensors, including remote sensed imagery for the geographic information system (GIS), accelerometers, as well as sensors for the global navigation satellite system (GNSS) and global positioning system (GPS). The discovered knowledge and information returned from our system provides analysts with a clearer understanding of trajectories or mobility of citizens, which in turn helps to develop better transportation models to achieve the ultimate goal of smarter cities. Evaluation results show the effectiveness and practicality of our AI-based sensor information fusion system for supporting deep supervised learning of big transportation data.

Digital Twins for Cities: A State of the Art Review

2020 ◽  
Vol 46 (4) ◽  
pp. 547-573
Author(s):  
Bernd Ketzler ◽  
Vasilis Naserentin ◽  
Fabio Latino ◽  
Christopher Zangelidis ◽  
Liane Thuvander ◽  
...  
Keyword(s):  
Grey Literature ◽  
Physical Models ◽  
Global Perspective ◽  
Sensor Data ◽  
Dominant Term ◽  
Civic Society ◽  
Digital Twin ◽  
3D City Model ◽  
Digital Twins ◽  
City Model

During the last decades, a variety of digital tools have been developed to support both the planning and management of cities, as well as the inclusion of civic society. Here, the concept of a Digital Twin – which is rapidly emerging throughout many disciplines due to advances in technology, computational capacities and availability of large amounts of data – plays an important role. In short, a digital twin is a living virtual model, a connected digital representation of a physical system and has been a central concept in the manufacturing industry for the past decades. In this article, we review the terminology of digital twins for cities and identify commonalities and relations to the more established term 3D city models. Our findings indicate an increasing use of the term digital twin in academic literature, both in general and in the context of cities and the built environment. We find that while there is as yet no consensus on the exact definition of what constitutes a digital twin, it is increasingly being used to describe something that is more than a 3D city model (including, e.g. semantic data, real-time sensor data, physical models, and simulations). At the same time, the term has not yet replaced the term 3D city model as the most dominant term in the 3D GIS domain. By looking at grey literature we discuss how digital twins for cities are implemented in practice and present examples of digital twins in a global perspective. Further, we discuss some of the application areas and potential challenges for future development and implementation of digital twins for cities. We conclude that there are significant opportunities for up-scaling digital twins, with the potential to bring benefits to the city and its citizens and clients.

Energy Optimization in a WSN for IoT Applications

2021 ◽  
pp. 49-63
Author(s):  
Syed Ariz Manzar ◽  
Sindhu Hak Gupta ◽  
Bhavya Alankar
Keyword(s):  
Sensor Node ◽  
Smart Cities ◽  
Average Energy ◽  
Sensor Nodes ◽  
Swarm Optimization ◽  
Iot Applications ◽  
Prime Concern ◽  
Efficient Communication ◽  
City Model ◽  
The Internet Of Things

Energy consumption has become a prime concern in designing wireless sensor networks (WSN) for the internet of things (IoT) applications. Smart cities worldwide are executing exercises to progress greener and safer urban situations with cleaner air and water, better adaptability, and capable open organizations. These exercises are maintained by progresses like IoT and colossal information examination that structure the base for smart city model. The energy required for successfully transmitting a packet from one node to another must be optimized so that the average energy gets reduced for successful transmission over a channel. This chapter has been devised to optimize the energy required for transmitting a packet successfully between two communicating sensor nodes using particle swarm optimization (PSO). In this chapter, the average energy for successfully transmitting a packet from one node to another has been optimized to achieve the optimal energy value for efficient communication over a channel. The power received by the sensor node has also been optimized.

scholarly journals DESIGN OF A SERVERLESS OGC WPS BASED GEOPROCESSING SERVICE SOLUTION

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 425-430
Author(s):  
M. E. Pakdil ◽  
R. N. Çelik
Keyword(s):  
Application Programming Interface ◽  
Big Data Analysis ◽  
Geospatial Data ◽  
Cloud Architecture ◽  
Computing Paradigm ◽  
Application Programming ◽  
Open Geospatial Consortium ◽  
Crucial Part ◽  
Programming Interface ◽  
Processing Service

Abstract. Geospatial data and related technologies have increasingly become a crucial part of big data analysis processes and even a prominent player in most of them. Serverless architectures have become today's trending and widely used technology within the cloud computing paradigm. In this paper, we review the serverless paradigm advantages over traditional cloud architecture models and infrastructures. Moreover, we examined the deployment of Open Geospatial Consortium (OGC) Web Processing Service (WPS) specification based geoprocessing Application Programming Interface (API) with serverless architecture. In this context, we propose a system design and review it in detail together with the results discussed along with use cases.

scholarly journals ENABLING “ENERGY-AWARENESS” IN THE SEMANTIC 3D CITY MODEL OF VIENNA

2016 ◽  
Vol III-4/W1 ◽  
pp. 81-88
Author(s):  
G. Agugiaro
Keyword(s):  
Data Model ◽  
Energy Use ◽  
Smart Cities ◽  
Energy Awareness ◽  
3D City Model ◽  
First Results ◽  
Sustainable Energy Systems ◽  
City Model ◽  
Set Up ◽  
City Models

This paper presents and discusses the first results regarding selection, analysis, preparation and eventual integration of a number of energy-related datasets, chosen in order to enrich a CityGML-based semantic 3D city model of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The still-in-development Energy Application Domain Extension (ADE) is a CityGML extension conceived to specifically model, manage and store energy-related features and attributes for buildings. <br><br> The work presented in this paper is embedded within the European Marie-Curie ITN project “CINERGY, Smart cities with sustainable energy systems”, which aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities. Given the scope and scale of the project, it is therefore vital to set up a common, unique and spatio-semantically coherent urban data model to be used as information hub for all applications being developed. This paper reports about the experiences done so far, it describes the test area in Vienna, Austria, and the available data sources, it shows and exemplifies the main data integration issues, the strategies developed to solve them in order to obtain the enriched 3D city model. The first results as well as some comments about their quality and limitations are presented, together with the discussion regarding the next steps and some planned improvements.

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