Research on an Ozone Concentration Regulation and Control Method in a Pipeline Backwashing System

Ozone has a strong oxidizing capacity, which effectively removes organic residues generated during complex matrix analyses. As a result, it helps reduce experimental errors and ensures the reliability, sensitivity, and accuracy of the analytical results. However, traditional ozone concentration control methods are often limited by low regulation accuracy and slow dynamic response, restricting their applicability in high-demand analytical environments. To address these problems, this study proposes an ozone concentration control system featuring a pipeline backwashing mechanism. The hardware architecture was developed around the STM32F103 microcontroller, incorporating ozone generation, pump-valve actuation, and photoelectric signal acquisition modules to enable rapid, real-time ozone preparation and monitoring. On the control methodology side, a dynamic dead-zone adjustment strategy based on the rate of error variation was implemented to suppress oscillations. In contrast, a concentration prediction error compensation mechanism was introduced to pre-correct control outputs, effectively reducing response delays. Simulation experiments and on-site verification demonstrated that the proposed system significantly enhances concentration stability, responsiveness, and resistance to external disturbances in ozone backwashing applications. Consequently, it improves the removal efficiency of organic matter within analytical pipelines, reduces energy consumption, and enhances overall system robustness, offering a reliable solution for precision-oriented analytical processes.