THE BIOLOGICAL INTELLIGENT MONITORING OF WATER POLLUTION BASED ON COMPUTER MACHINE VISION

As water pollution is becoming more and more serious and sudden water pollution accidents continue to occur today, it is particularly important to protect the quality of drinking water sources and ensure the safety of urban water supply. This study combined biotechnology, computer vision technology, dynamic image analysis, network technology and wireless communication technology to design a biological monitoring system, which reflects the changes in water quality by monitoring the changes in the behavior of fish when the water quality changes suddenly. This paper analyzed the effects of Cd2+, Cu2+, Zn2+, and Cr(VI) on zebrafish behavior under different concentrations. The results showed that under the stress of 10% (safe quality concentration) of LC50-96, the behavior of the zebrafish showed obvious behavior changes. Thus, it is feasible to use zebrafish behavior changes for early warning of sudden water pollution. The average swimming speed of zebrafish and the duration of the dramatic changes in the average number of turns had a certain dose-effect relationship with the concentration of pollutants.