Multi-Target Tracking-Based Detection of Floc Settling Velocity

摘要：

In the automatic control of coagulant dosage in water plant, the final control performance mainly depends on the chosen of control parameters. In this paper, a multi-target tracking-based detection system for floc settling velocity is proposed. The system collects floc dynamic change images online by using an underwater image sensor, and transmits the images to computer image processing system. Therefore the flocs characteristics and their settling velocities will be calculated through image processing and multi-target tracking. Finally, extraction and analysis of floc feature characteristics can be achieved. The system uses Kalman filter and multiple hypothesis tracking (MHT) algorithms to calculate the flocs settling velocities. Weighted average floc settling velocity can be calculated by we ighted mathematical statistics. Experimental results show that using of detection system can reflect the floc sedimentation status underwater, and average floc settling velocity is within 0.08 ~ 0.140 mm/s. This system provides an effective control parameter, floc settling velocity, for the automatic control of coagulant dosage.

关键词： water treatment flocculation detection multi-target tracking speed of sit machine vision image processing controlled parameters.

作者: Lu Minggang Sun Yi Tang Liang

作者单位: Department of School of Mechatronics Engineering and Automation,University of Shanghai Shanghai,200072,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1172-1176

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）