Urban Digital Twins – A FIWARE-based model

This article describes the use of digital twins for smart cities, i. e., the Urban Digital Twin (UDTw) concept. It shows how UDTws can be realized using the open source components from the FIWARE ecosystem that are already used in more than 200 cities worldwide. The used NGSI-LD standard is supported by the European Connecting Europe Facility, the Open and Agile Smart City community, the Indian Urban Data Exchange platform, and the Japanese Smart City Reference Model. Unlike digital twins in other domains, e. g., manufacturing, where digital twins are co-developed with their physical counterparts, UDTws often evolve driven by different stakeholders, on different time scales, as well as by utilizing many different data sources from the city. This article builds on a well-established lifecycle model for Digital Twins and combines this with a conceptual model for digital twins consisting of data, reactive, predictive and forecasting (“what if”) digital twin functionalities. The article also describes how AI-based technologies can be used to extract knowledge to build the UDTws from the IoT-based infrastructure of a smart city.

Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform

In recent years, rather than enclosing data within a single organization, exchanging and combining data from different domains has become an emerging practice. Many studies have discussed the economic and utility value of data and data exchange, but the characteristics of data that contribute to problem-solving through data combination have not been fully understood. In big data and interdisciplinary data combinations, large-scale data with many variables are expected to be used, and value is expected to be created by combining data as much as possible. In this study, we conducted three experiments to investigate the characteristics of data, focusing on the relationships between data combinations and variables in each dataset, using empirical data shared by the local government. The results indicate that even datasets that have a few variables are frequently used to propose solutions for problem-solving. Moreover, we found that even if the datasets in the solution do not have common variables, there are some well-established solutions to these problems. The findings of this study shed light on the mechanisms behind data combination for solving problems involving multiple datasets and variables.

IoT Platform with Distributed Brokerson MQTT

Various wide-area Internet of Things services have been deployed. In most of these IoT services, a significant number of tiny data blocks are transferred across wide-area networks. Therefore, the transfer mechanisms should be simplified. One promising candidate for use as a transfer mechanism is MQ Telemetry Transport (MQTT). In this paper, an architecture for a distributed MQTT broker, referred to as a virtual ring approach, is proposed. This architecture complies with the IoT Data Exchange Platform, as discussed in ISO/IEC JTC 1/SC 41. The operations of this distributed broker architecture using a virtual ring network for real-time communication is also described, along with the superiority of the architecture based on a performance analysis using queuing models

The European Radiological Data Exchange Platform (EURDEP): 25 years of monitoring data exchange

During the early phase of an accident with the release of radioactive material to the environment at the local or transboundary scale, a rapid and continuous system of information exchange, including real-time monitoring data to competent authorities and the public, is critical for setting up countermeasures. This information and data exchange must be carried out in a harmonized and consistent manner to facilitate its interpretation and analysis. After the Chernobyl accident in 1986, and in order to avoid the competent authorities being unprepared again for a similar event, the European Commission (EC) defined and put in place a directive (Council Decision 87/600/EURATOM, 1987) which essentially obliges a member state that decides to implement widespread countermeasures to protect its population to notify the European Commission without delay. The same Council Decision also specifies that the results of radiological monitoring must be made available to the European Commission and all potentially affected member states. Over the past 30 years, the European Commission has invested resources in developing and improving a complete system to carry out this delicate task, currently composed of two platforms: the European Community Urgent Radiological Information Exchange (ECURIE) and the European Radiological Data Exchange Platform (EURDEP). This paper aims to increase knowledge of the latter system as a valuable tool for understanding and analysing the radioactivity levels in Europe. Commencing with background information, in this paper, we will describe the EURDEP system in detail, with an emphasis on its status, data availability, and how these data are diffused depending on the audience. Within the scope of this publication, we describe an example of measurements available in the EURDEP system, which to be used for scientific purposes. We provide two complete datasets (air-concentration samples – https://doi.org/10.2905/23CBC7C4-4FCC-47D5-A286-F8A4EDC8215F; De Cort et al., 2019a; and gamma dose rates – https://doi.org/10.2905/0F9F3E2D-C8D7-4F46-BBE7-EACF3EED1560; De Cort et al., 2019b) for the recent radiological release of 106Ru in Europe, which occurred between the end of September and early October 2017. Records stored are publicly accessible through an unrestricted repository called COLLECTION belonging to the JRC Data Public Catalogue (https://data.jrc.ec.europa.eu, last access: 1 July 2019).