Energy management is one of the most critical tasks, which needs to be performed in manufacturing facility, since manufacturing consumes 1/3 of world’s energy. Same time, manufacturing facilities are equipped with large amounts of field devices, which generate vast amounts of information every second. With such a huge amount of real-time data, which has a potential to provide insight information for energy management needs, capturing, storing and processing of it becomes a challenge. In this thesis an information warehouse system supporting holistic energy management is designed and implemented. The main goal is to provide a system, which can capture, store and provide information relevant for energy management purposes in manufacturing facility. The thesis consists of three main parts. In the first part current and most relevant for energy management concepts and technologies, including Big Data, NoSQL, Service Oriented Architecture and Complex Event Processing, are explored, analyzed and compared. In the second part an architectural design of information warehouse is presented. During this step a set of tools and technologies is selected for implementation. In a third part, an information warehouse system is implemented and tested in a manufacturing line test-bed. Implemented information warehouse is based on multi-layered architectural pattern, where layers are communicating with each other via services. The most important advantage of this modular architecture is an ability to use implemented solution in any manufacturing facility, as modules can be easily reconfigured in order to adjust to different context. The designed information warehouse system was tested for a manufacturing line located in premises of Tampere University of Technology. The results of this thesis demonstrate that the developed information warehouse system is capable of collection, processing and providing access to crucial for energy management information.
展开▼
