Common conceptions are given about multi-sensor systems. The structure of the data processing unit of multi-sensor system for concentration monitoring of heavy metals ions in aqueous media is described. Main stages of the data processing, – clustering and quantitative identification are introduced. The approach which presupposes use of artificial neural networks, – Kohonen networks and radial basis function networks, is designed. Such algorithmic architecture is implemented which allows to avoid significant computing resources expenses. The program for computer IBM PC in high-level language of application package MATLAB is written.

Keywords: Multi-sensor systems, artificial neural networks, Kohonen networks, radial basis function networks, data processing, pattern recognition, environmental monitoring, heavy metals, ion-selective electrodes