A very large number of sensors on facilities such as HVAC, light control systems and electric power meters, periodically submit their status information to Cloud platforms these days. As the amount of data can easily get petabyte scale, we must consider the use of distributed application layer storage for managing such facility information, which is often formatted on timeseries data. This paper describes FIAPStoragePeta, petabyte scale storage for facility information access protocol (FIAP), proposing the architecture and the scheme of such data management on HBase. In this work, we have identified three requirements to the design of HBase row keys for implementing this storage using HBase. Though, we have not finished petabyte scale experiments, our preliminary evaluation results have shown good performance for managing large scale facility information. It has achieved scalable data retrieval on the data of 10 million sensors with properly balancing loads on distributed data storages.
Abstract-Effective energy management and control is an important and urgent issue in the emerging and developing countries, so as to achieve their sustainable growth, because of poor quality of power supply by their electric power companies. In order to come up with the frequent electric power outage by the power company, most of buildings in developing and emerging countries install a power generator. Although because of poor control system in the premises, utilization factor of output capability of power generators is typically low except at peak periods. To improve the utilization factor of power generator, we propose a system, which can manage power segments in the building using SCB (Smart Circuit Breaker). SCBs are connected by wireless technologies with battery backup, and set their power capping based on the indication issued by central manager. The central manager computes power capping threshold of each SCB using the proposed algorithm, in real-time fashion. Experimental results show that the proposed algorithm can optimize the required capacity of the local power generator and that we need a feedback-looped adaptive threshold calculation algorithm.
International audienceA smart building has an outlet-level power meters for managing the energy consumption of plug-load devices - the devices or appliances connected to the outlets. Identification of the connected devices used to be made by system operators in the traditional building energy management systems (BEMS), but it is no more realistic for such fine-grained power monitoring applications. This paper proposes a new communication method – electric current based power line communication (ECPLC), which enables automatic identification of plug-load devices without the intervention of system operators. Using ECPLC, a device transmits bit sequences that show its identifier on the electric current flow, which propagates only to the outlet from the connected device. We have designed a transmitter and a receiver of ECPLC with studying the electric model that enables the communication. We have also implemented them, and carried out experiments on varieties of cases. The results show that ECPLC performs very well in typical application scenarios, indicating that it is useful for automatic identification of plug-load devices
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