Abstract:The study of kinetics is one of the popular topics in flotation research. It is of great significance to optimize flotation process parameters, control flotation equipment, improve flotation processes and flotation efficiency. Bubble characteristic parameters are one of the key parameters in flotation kinetics, but currently there are many ideal assumptions and certain limitations in the detection research of bubble characteristic parameters. Compared with the in-situ detection environment, there is a significant gap. In response to this issue, this article studied the in-situ detection methods for inflation rate, bubble size, and bubble load in the flotation process. Hardware architecture and software algorithms were designed, and three instruments were developed: inflation rate measuring instrument, bubble size measuring instrument, and bubble load measuring instrument. Relevant experiments were conducted in practical application scenarios. The results indicate that the three detection methods have high accuracy, automation, and intelligence, and can provide effective data support for flotation process research and optimization of flotation process flow.