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  • Trends in the development of information technologies in the housing and utilities sector

    The paper discusses the main trends in the development of information technologies in the housing and utilities sector. The main direction of development of energy and water accounting systems is energy efficiency, which is achieved either through the materials used or through constructive solutions. Automated systems for commercial accounting of energy resources (AMR) allow you to combine disparate data from metering devices and transfer them to information processing centers. The use of AMR allows you to keep records of consumed resources, monitor leaks and losses, accumulate data for further processing and forecasting, as well as generate data arrays for the application of BigData technology and neural networks. In Russia, the data collector is the GIS utilities system. In the future, ASCME will become part of the organizational and technical concept of Industry 4.0.

    Keywords: measuring circuits, metering devices, Internet of Things, AMR, BigData, neural network

  • ST-segment offset algorithm

    Article desribes the change in the ST-segment offset of the electrocardiagramm according to the variaty effects like fluctuations, respiration, additive noises, and heart rate deviation. Authors proposes to identify the ST-segment location in already synthesised ECG signal, adding an offset with consecutive nonlinear interpolation using National Instruments LabVIEW BioMedical Toolkit

    Keywords: Electrocardiogram, ST-segment, synthesized ECG, elevation, depression, heart rate, T-tooth, isoline, smoothing, interpolation

  • Analytical software for resource consumption forecasting in the system of integrated accounting, registration and analysis of energy resources and water consumption by industrial enterprises and objects of housing and communal services

    The submitted paper considers the issues of developing the analytical software which is the part of the hardware-software complex for energy accountability, reporting and analysis, and consumption. The main function of the analytical software is to predict the consumption of energy resources and emergency conditions, as well as non-routine events. To create analytical software, the use of contextually-predefined machine languages is suggested. The issues considered include the implementation of such languages for intelligent agents (IA), which are used to solve problems of resource consumption forecasting in the housing and communal services sector. Particular attention is paid to the methods for supporting the change in implementing functions. The same approach can be used to solve other problems. An intelligent agent features a complex behavior that changes as it interacts with the external environment and is determined by internal states. When creating intelligent agents, there are fundamental problems: - search and formation of algorithms for the training of an intelligent agent, - change and implementation of these algorithms within the agent itself. The work specially dwells on the second problem. The approach is that contextually-predefined languages and implementing systems are used as form-building (morphogenetic) ones. The productive element is the main part of the learning intelligent agent. There are six components of the productive element. They are considered within the context of contextually-predefined languages application. The basic idea is to isolate the parts of the component's algorithm and to arrange an appropriate connection between the particular part and the context that can change it directly or indirectly. As a result, the necessary adaptive change of algorithms is obtained on the basis of accumulated knowledge. One of the most urgent tasks is the form this process during the operation of the IA.

    Keywords: software, energy resources accounting, contextually-predefined languages, intelligent agents, machine languages

  • Features of the development and implementation of energy accounting system

    The article considers the possibility of creating distributed transmission and accounting networks for energy resources. The experience of different countries in creating smart networks was also analyzed and the effectiveness of such systems was evaluated. "Intelligent" systems allow you to distribute energy more efficiently for end users. In addition, "smart" systems allow you to track leaks, accidents, and theft of electricity. The problems associated with the deployment of smart networks are considered. The main features and problems of introduction of accounting systems of housing and communal services in Russia are given. The system of state information system of housing and communal services is considered.

    Keywords: Housing and communal services,distributed network,"Smart" systems, Information system, energy resources