INFORMATION-MEASUREMENT SYSTEM FOR DETERMINING THE CONCENTRATION OF IMPURITIES IN WATER BASED ON A CONDUCTOMETRIC SENSOR

Abstract

Water quality control is a vital task for environmental monitoring, industry, and medicine [1–3]. Water is a universal solvent that easily accumulates various chemical substances, heavy metals, organic and inorganic impurities, which can affect human health and the environment.Therefore, timely analysis of water quality is essential to prevent the negative consequences of its contamination.There are many methods for water quality analysis, such as spectrophotometry, chromatography, mass spectrometry, and others. However, most of them are expensive, complex to use, and require significant time for sample preparation. One of the effective methods that allows for rapid determination of ionic impurity concentrations in water is conductometry. This method is based on measuring the electrical conductivity of a solution, which varies depending on the concentration of dissolved ions. It offers several advantages, including high measurement speed, ease of implementation, and the possibility of process automation.Analytical control of water quality is critically important for environmental monitoring, industrial processes, and the medical field. This study presents the development of an information- measurement system (IMS) for determining the concentration of impurities in water based on a conductometric sensor. The main advantage of using conductometry lies in its high measurement speed, simplicity of implementation, and the possibility of automating the control process.Modern information-measurement systems (IMS) use various types of sensors to determine water parameters. One of the key sensors for monitoring water impurities is the conductometric sensor, which enables accurate data acquisition on its electrical conductivity. The integration of such sensors into automated monitoring systems allows for continuous real-time water quality monitoring.The proposed IMS provides an efficient tool for continuous water quality control in real-time.The results of this research may serve as a foundation for further development and improvement of monitoring systems for their broad practical application.