Biomonitoring Information Technologies as an Important Factor in Providing a Comfortable Urban Environment

The purpose of the work is to study solutions of the problems connected with environmental control of state of environment at design of systems like «smart city». It is supposed that management of the urban environment will be inefficient and even dangerous to inhabitants if doesn’t include, as an organic component, the block of environmental monitoring. As the «smart city» system is represented as the big information system relying on the universal database (or the knowledge base), an important role is played by the effective organization of the base of ecological data supporting the monitoring block. The main objective of work is the analysis of the general and private requirements to the organization of collection of information, to control methods of the importance of the used indicators, to the organization of storage of collected data in the format convenient for the automated processing. It is shown that traditional DBMS have no potential, specially focused on processing of the big ecological data obtained by means of the modern technical means and focused on the modern systems of making management decisions. Being based on the known data from literature, the special information model providing effective data storage of biomonitoring and their processing with use of the relevant methods «date mining» is offered. The model is constructed proceeding from the analysis of the main properties and a biomonitoring process component. The general models of information exchanges, the principles of selection of representative bioindicator data and planning of monitoring activity in time and space, the modern principles of the organization of databases were used. Further development of model is supposed towards closer integration into the existing projects of systems of the «smart city». It assumes, in particular, further adaptation of structure of data to opportunities of their processing by methods of artificial intelligence.