1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. Yanshan University Science Park, Qinhuangdao, Hebei 066004, China
Abstract：Realization of water quality monitoring by combining fish movement behavior with XGBoost classifier.According to the influence of water quality on the movement of fish, some characteristic parameters were introduced, such as center distance index, dispersion and distribution area, which were extracted from the movement behavior of fish. Secondly, five characteristic parameters of swimming distance, velocity, acceleration, curvature and neighborhood of fish in normal and abnormal water quality were extracted, and water quality anomaly evaluation factor database was established. Finally, different evaluation factors were input to XGBoost classifier for classification and recognition. The experimental results showed that the three characteristic parameters of the center distance index, dispersion and distribution area can reflect the water quality condition high efficiency and accurately.
程淑红,张仕军,李雷华,张典范. 基于鱼群运动特征和XGBoost的异常水质监测[J]. 计量学报, 2018, 39(4): 572-577.
CHENG Shu-hong,ZHANG Shi-jun,LI Lei-hua,ZHANG Dian-fan. Water Quality Monitoring Based on Fish Movement Characteristics and XGBoost. Acta Metrologica Sinica, 2018, 39(4): 572-577.
［1］Lu Y L, Song S, Wang R S, et al. Impacts of soil and water pollution on food safety and health risks in China［J］. Environment international,2015,77:5-15.
［2］Xiao G, Feng M, Cheng Z B, et al. Water quality monitor-ing using abnormal tail-beat frequency of crucian carp［J］. Ecotoxicology & Environmental Safety,2015,111:185-191.
［3］程淑红, 李雷华, 刘洁.基于视觉感知的鱼群运动行为特征参数提取［J］.计量学报,2017,38(2):175-178.
［4］Creton R. Automated analysis of behavior in zebrafish larvae［J］. Behavioural Brain Research,2009,203(1):127-136.
［5］Gautrais J, Jost C, Soria M, et al. Analyzing fish movement as a persistent turning walker［J］. Journal of Mathematical Biology,2009,58(3):429-445.
［6］Kim C M, Shin M W, Jeong S M, et al. Real-time Motion Generating Method for Artificial Fish［J］. Journal of Interlibrary Loan Document Delivery & Information Supply,2007,12(2):17-23.
［7］Lai C L, Chiu C L. Using image processing technology for water quality monitoring system［C］//IEEE.International Conference on Machine Learning and Cybernetics.Guilin,China,2011:1856-1861.
［8］Liao Y, Xu J Y, Wang W J. A Method of Water Quality Assessment Based on Biomonitoring and Multiclass Support Vector Machine［J］. Procedia Environmental Sciences,2011,10:451–457.
2018, Vol. 39 
