基于滤波算法判断滴定终点的微试剂高锰酸盐指数分析仪及分析方法
By using filtering algorithms and Kalman filtering technology to determine the titration endpoint, combined with a microreactor analyzer, the problems of cumbersome operation, high reagent consumption, and low automation in existing permanganate index determination methods have been solved, achieving efficient, accurate, and environmentally friendly online detection of water permanganate index.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES
- Filing Date
- 2026-05-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for determining permanganate index are cumbersome to operate, consume large amounts of reagents, have significant human error, low automation, and slow response speed, making it difficult to meet the high efficiency and real-time requirements of modern environmental monitoring.
A microreactor permanganate index analysis method for determining titration endpoints using a filtering algorithm is proposed. This method combines Kalman filtering and sliding window technology, dynamically adjusts the filter cutoff frequency, and uses a slope threshold to determine the titration endpoint, achieving fully automated detection. The results are then analyzed using a microreactor analyzer.
It achieves fully automated detection, significantly reduces reagent consumption, improves detection accuracy and stability, and has good environmental friendliness and economy, meeting the needs of modern environmental monitoring.
Smart Images
Figure CN122409948A_ABST