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Solar plants typically consist of several thousands of passive photovoltaic modules that are connected via thousands of string boxes to hundreds of inverters. In addition, a solar plant has meteo-sensors, power meters and control switches. All these components continuously generate data that is collected by monitoring systems or SCADA systems on-site. From there onwards, this data is pushed to remote...
Due to the current business requirements, the manufacturing industry is striving to reduce design, development and commissioning time of production systems to manufacture new products in a timely manner. The use of new technologies such as virtual engineering, automatic code generation and knowledge-based approaches is being extensively researched. This paper presents a framework that utilizes a knowledge-based...
Business intelligence applications are more focused on structured data and support decision makers by providing meaningful information from extracted data mainly coming from day-to-day operational databases and structured external data sources. However, the volume of unstructured data is growing very fast and data analysts need to consider this kind of data especially when analysing external data...
The amount of linked open data is growing fast. Yet, it is difficult for the end users to access the semantic data without having the in depth knowledge of the SPARQL language. The modern semantic search engines tackled the problem with standard user interfaces. However, these interfaces are not very usable for people with no understanding of semantic technologies. It is challenging for the semantic...
For those shortcomings of current methods in fault diagnosis knowledge representation, it is necessary to use an efficient knowledge model to improve the accuracy of fault diagnosis and to realize the reusing and sharing of machinery fault knowledge. In this paper, an ontology-based fault diagnosis model is established. Focusing on fault diagnosis of rotating machinery, the domain-ontology knowledge...
Traditionally state machines are implemented by coding the desired behavior of a given system. This work proposes the use of ontological models to describe and perform computations on state machines by using SPARQL queries. This approach represents a paradigm shift relating to the customary manner in which state machines are stored and computed. The main contribution of the work is an ontological...
This paper describes the development of a multiple ontology workspace management system and its performance assessment. This management system provides users with their own ontology workspace as a repository. It aims to facilitate the storage and manipulation of ontology models for knowledge driven manufacturing execution systems. The system uses Jena TDB API to maintain the file system on the server...
Demand for efficiency in the domain of manufacturing increases driven by competition for resources and customers. Adaptation of the modern concepts which have proven their benefits in other domains to the automation of manufacturing systems provides a field for innovation. Recent developments in Cyber-Physical Systems, Service-oriented Architecture and Knowledge-Driven Approach suggest an ecosystem...
The incessant need of the industry to optimize processes due to market demands derived in a huge investment on information communication technologies implementation during last decades, in the industrial automation domain. This caused the implementation of paradigms as service-oriented or event-driven architectures in factories, used for wide data integration. Moreover, the use of knowledge representation,...
Modern control and monitoring systems incorporate large number of heterogeneous devices and are operated by many users with different roles and responsibilities. The information generated by these devices, although preprocessed and filtered, is usually delivered to users regardless of their actual information needs, thus overwhelming cognitive capacities and potentially affecting safety of the system...
The continuous change in the manufacturing world is demanding more flexible, responsive and accurate planning tools, which are able to assist the decision-makers to take tactical and strategic decisions on short notice with a high level of confidence. For this purpose, these tools should dynamically explore different operative scenarios in the planning procedure and produce information about key performance...
The German working committee for “Industrie 4.0” identified the horizontal integration throughout value networks and the vertical integration of networked manufacturing systems as key issues in the context of smart factories. For this purpose we aim for a universal model-driven industrial engineering framework spanning over production chains and value networks. Thereby, we build up on the Resource...
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