天津农业科学2025，Vol.31Issue(9)：71-78,8.DOI:10.3969/j.issn.1006-6500.2025.09.012
浊度在线监测中卡尔曼滤波的优化与应用
Optimization and Application of Kalman Filter in Online Turbidity Monitoring
郝甜利 1田孝平 1张城振 1贾小虎 2胡博3
作者信息
- 1. 郑州贯奥仪器仪表有限公司,河南郑州 450000
- 2. 河南农业大学,河南郑州 450000
- 3. 河南省计量测试科学研究院,河南郑州 450000
- 折叠
摘要
Abstract
In order to solve the problem of large fluctuation and instability of monitoring data in turbidity on-line monitoring,an im-mersible turbidity sensor based on the principle of vertical scattering was designed.The pulse width modulation technology of light source was used to eliminate the influence of ambient light.Automatic range switching achieved through PGA gain amplifier circuit.The Kalman filter algorithm was used to process the output voltage signal.The experimental results showed that establishing a suitable turbidity sensor Kalman filter model could not only reduce the impact of observation noise,but also obtained an accurate estimate of the output status of the turbidity sensor,combining tracking and filtering effects.It was suitable for real-time monitoring of turbidity sensors.In summary,the designed turbidity sensor can be widely used in various monitoring scenarios of agricultural production,and has certain practical application value and promotion value.关键词
浊度/在线监测/卡尔曼滤波Key words
turbidity/online monitoring/Kalman filtering分类
信息技术与安全科学引用本文复制引用
郝甜利,田孝平,张城振,贾小虎,胡博..浊度在线监测中卡尔曼滤波的优化与应用[J].天津农业科学,2025,31(9):71-78,8.
