The article considers the model and method of converged computing and storage to create SCADA systems based on wireless networks for the energy industry. Computing power of modern wireless sensor network nodes allow the transfer to them some operations sensor data mining and offload the dispatching data centre servers. This fog computing model is used for the aggregation of primary data, forecast trends controlled variables as well as to warn about abnormal and emergency situations on distributed SCADA systems objects. Large arrays of sensor data, integral indicators and heterogeneous information from other sources (e.g., weather stations, security and fire alarm systems, video surveillance systems, etc.) is more appropriate to process via GRID computing model. GRID computing model has three-tier architecture, which includes the main server at the first level, a cluster of servers at the second level, and a lot of GPU video card with support for Compute Unified Device Architecture at the third level. The model of cloud computing and cloud storage today is the basis for the accumulation of the results of data mining and knowledge discovery. Means of communication and remote access can solve the problem of intellectual processing and visualization of information with elements of augmented reality and geo-information technologies within the framework of mobile computing model. The implementation of these four computing models for the operation of components of SCADA system is the convergent approach to distributed sensor data processing, which is discussed in the article.

The study of the problem of sustainable development of urban areas led to the understanding of the important role that population involvement plays in solving the issues related to forming a comfortable urban environment. It is normal practice to take into account the proposals and recommendations of citizens and organizations when making decisions in the field of territorial development. Nevertheless, the implementation of participatory governance mechanisms faces significant difficulties. This is primarily due to the lack of effective tools for analyzing the opinion of citizens and technologies for integrating urban communities into existing institutions of governance. This article discusses the ways of organizing expert polls based on the principles of “Socratic dialogue”. The idea of using social networks for testing and promoting urban development projects by analyzing social reactions to various urban initiatives is considered. The possibility of predicting public opinion about a specific solution for urban development using historical data from social networks has been investigated. An approach to the gamification of work with a social response to the urban environment state through virtual interactions with infrastructure objects is proposed. The prospects for gamification to motivate civic participation and improve the efficiency of feedback mechanisms between the city and its residents are discussed.

Rapid changes in the urban environment as a results of technological progress require new approaches to the development of transport infrastructure, which will increase the performance of the transport system, improve the quality of its operation and safety. It is necessary to maintain the quality of life, business and economical stability of the city. However, the development of the transport system or its radical transformation is a large-scale investment, which is not always easy to decide, especially in the face of uncertainty: lack of knowledge about the process and fluctuations in the economy. Deficient of transport services aspects study will inevitably lead to losses of life quality. Thereby the development of methods for optimizing the route network of public transport, which will link the demand and supply of transport services, is an urgent task. In this paper, we propose a new approach to the construction and refinement of the ontological model of knowledge representation about the city transport system using cognitive modeling.