Abstract
This scientific paper delves into the problems related to the development of intellectual data analysis system that could support decision making to manage municipal power supply services. The management problems of municipal power supply system have been specified taking into consideration modern tendencies shown by new technologies that allow for an increase in the energy efficiency. The analysis findings of the system problems related to the integrated computer-aided control of the power supply for the city have been given. The consideration was given to the hierarchy-level management decomposition model. The objective task targeted at an increase in the energy efficiency to minimize expenditures and energy losses during the generation and transportation of energy carriers to the Consumer, the optimization of power consumption at the prescribed level of the reliability of pipelines and networks and the satisfaction of Consumers has been defined. To optimize the support of the decision making a new approach to the monitoring of engineering systems and technological processes related to the energy consumption and transportation using the technologies of geospatial analysis and Knowledge Discovery in databases (KDD) has been proposed. The data acquisition for analytical problems is realized in the wireless heterogeneous medium, which includes soft-touch VPN segments of ZigBee technology realizing the 6LoWPAN standard over the IEEE 802.15.4 standard and also the segments of the networks of cellular communications. JBoss Application Server is used as a server-based platform for the operation of the tools used for the retrieval of data collected from sensor nodes, PLC and energy consumption record devices. The KDD tools are developed using Java Enterprise Edition platform and Spring and ORM Hibernate technologies. To structure very large data arrays we proposed to organize data in the form of hyper tables and to use the Compute Unified Device Architecture technology.
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Kamaev, V., Finogeev, A., Finogeev, A., Shevchenko, S. (2014). Knowledge Discovery in the SCADA Databases Used for the Municipal Power Supply System. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_1
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DOI: https://doi.org/10.1007/978-3-319-11854-3_1
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