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Convergence of Technologies and IT/OT Integration
Published in Stuart Borlase, Smart Grids, 2018
Stuart Borlase, Michael Covarrubias, Jim Horstman, Greg Robinson, Stuart Borlase, John Chowdhury, Greg Robinson, Tim Taylor
Integrated and consistent vision fosters teamwork: Integrated solutions allow management, operational, planning, and backroom operations staff to truly operate as a team, with each having access to the same pool of information. This provides visibility of the goals of the entire business and how well they are performing at any given time. Enterprise data are available to the key business users with minimum human intervention. The business is provided with a complete and current view of the network and company assets with easy access to all functions and data. This allows informed real-time decision-making alongside strategic planning and network optimization. A common data model serving an integrated application suite provides improved data maintenance and integrity of data. This has direct productivity benefits for the business support system staff.
Smart Grid Technologies
Published in Stuart Borlase, Smart Grids, 2017
Consistency: With integration between systems, users are presented with a consistent three-dimensional view of the current network conditions allowing informed real-time decision making alongside strategic planning and network optimization. A common data model serving an integrated application suite provides improved data maintenance and integrity of data. This has direct productivity benefits for the business support system staff.
Simulation model generation combining IFC and CityGML data
Published in Symeon E. Christodoulou, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2017
G.N. Lilis, G.I. Giannakis, K. Katsigarakis, G. Costa, Á. Sicilia, M.Á. Garcia-Fuentes, D.V. Rovas
Although the simulation generation process mentioned earlier is automated for geometry and material thermal property input data, building system characteristics have not yet included in this process as input data. The versatility of such input data highlights the need for integrating all these diverse data sources under a common data model.
ClimateCharts.net – an interactive climate analysis web platform
Published in International Journal of Digital Earth, 2021
Laura Zepner, Pierre Karrasch, Felix Wiemann, Lars Bernard
In addition to Java Servlets the application is using the Java NetCDF API 4.5.4 which is used to convert different data file formats into a Common Data Model. On top of this three server-side applications are being used. The THREDDS Data Server is a Thematic Real-time Environmental Distributed Data Services. It bridges the gap between an application and the data it needs to process. Through THREDDS, a developer has access to a wide variety of scientific data, such as temperature and precipitation, as well as meta data. The requested data can be taken in real-time or archived data (UNIDATA 2020e).GeoNames provides a Web Feature Service-Gazetteer. It is a service that returns a location name for given GPS coordinates (GeoNames 2020).GeoServer is a java-based server that is used to access the data of weather stations (GeoServer 2020).
Architecting Microservices: Practical Opportunities and Challenges
Published in Journal of Computer Information Systems, 2020
Saša Baškarada, Vivian Nguyen, Andy Koronios
Given that microservice architecture discourages a common data model, and encourages decentralized data management, interviewees expressed significant concerns regarding master data management. There was little understanding regarding how data consistency may best be ensured in microservice architecture, given that the same data may be stored in multiple databases in a range of formats. This can cause obvious problems with data updates. While it was acknowledged that using a centralized data store (which some of the interviewees had done with microservice-based systems of innovation) may alleviate some of these problems, there was also general agreement that this would introduce an unacceptable level of centralization that is counter to the spirit of decentralized microservice architecture.
Ontological knowledge integration and sharing for collaborative product development
Published in International Journal of Computer Integrated Manufacturing, 2018
Xiuzhen Li, Zhenyong Wu, Mark Goh, Siqi Qiu
Much knowledge is captured, retrieved, and reused in product development (Lin et al. 2011). As some rules and relations within heterogeneous knowledge are not pre-determined, engineers often have to spend much time to evaluate what knowledge is really needed and how to use it (Papakostas et al. 2014). As such, knowledge integration is critical. Many methods have been studied. For instance, Ding, Davies, and McMahon (2009) presented a simple model with multi-layer annotation (LIMMA) to facilitate product data communication. Gujarathi and Ma (2011) used a common data model (CDM) to integrate CAD modelling and CAE analysis. Jayaram and Pathak (2013) proposed knowledge integration mechanisms to improve knowledge sharing between firms and their collaborative network partners. However, these methods focus on integrating unstructured or non-semantic knowledge, and neglect to integrate the structural or semantic knowledge in collaborative development, making knowledge exchange difficult.