Abstract:

Analysis of the urban water supply is an important objective to develop an effective management system of water supply, due to it determines the relevance of the study. Nowadays, the field of water supply is a multifunctional, technical and economic system that requires the introduction of innovative technologies, analysis, forecast, formulation development strategy, which should respond modern requirements. This is only possible based on a rich source of statistical data processing, which has to use big data. Analysis of bid data in the field of urban water supply currently does not have a systematic approach, which is an important problem that needs to be solved. On the one hand, practice shows that there is a fragmentation of statistical data on the elements of the production process. On the one hand, the necessity of introducing innovative technologies in the field of water supply. The elements of the production process are: water abstraction, water treatment, transportation of portable water to the consumers. Each element describes the features of the production process, reflected in its own database. The aim of the study is to consider these processes as one, this is possible because of the implementation of big data. The result of the application of the predictive analysis will be an opportunity to improve the efficiency of the management system of urban water supply.