The Research On Intelligent Measurement And Control System Of Ozone Producing Process

Ozone has strong oxidation and sterilization ability. It is widely applied in many fields, such as water and wastewater treatment, food processing, chemical production and medical etc.. With the development of ozone producing technology and the popularization of ozone application, the increasingly higher requirements for the automatic control system of ozone producing system is needed. At present, the measurement and control technology for ozone producing process is outdated and the level of automation is low, so it is anxious for improving the measurement and control system for the ozone producing and application. In this paper, based on analyzing the mechanism of ozone producing process comparatively and deeply, the author proposes intelligent measurement and control system of ozone producing process, and has put it into use successfully. The content of the research in this paper is as follows:(1) Based on the analysis of the mechanism of ozone producing process and the technological characteristics, the project of the integrated intelligent measurement and control system of ozone producing process are proposed. In this project, the 3-layer distributed control system is presented by assembling industrial PC, PC 104 and microcontroller, and realizes the intelligent measurement and control of ozone producing process. The results of application illustrate the effectiveness of the project.(2) The pivotal technological parameters needed to be measured and controlled in ozone producing process are more and located in a large area. And these are various pipelines, the high voltage and low voltage. So it is hard to be connected by wire. In this paper, the wireless sensor network is used to design the intelligent measurement and control system. And combining the practical application, the configuration, low power and the reliability of wireless sensor network are studied.(3) The three key measurement and control loops of the temperature of gas, the flux of gas and power are designed. A sort of photoelectric measurement equipment for the flux of gas is designed based on the float meter and it is validated in practice. The measurement and control of power in ozone producing process are studied. And the measurement method and control strategy for power obtain a preferable result in practice.(4) As the production quality index and the control target, the ozone concentration is difficult to real-time measurement on line in ozone producing process at present. In this paper, based on the ozone producing mechanism, the technological parameters which can influence the ozone concentration directly in ozone producing process are studied. Six variables are chosen as the secondary variables and a soft-sensor model of ozone concentration based on RBF neural network is build up. And the soft-sensor model is trained, calibrated and evaluated. The ozone concentration analyzer of EG-2001B is used to verify the precision of the soft-sensor model and the experimental results demonstrated that the soft-sensor model can implement the real-time measurement of ozone concentration on line and has the advantages of fast response time, high precision, good adaptability and strong generalization ability.(5) One of the key questions in ozone technology development is to reduce the running cost of ozone producing process. In this paper, the unit mass ozone producing cost is chosen as the optimal target, and an optimizing control strategy is introduced to optimize the setting value of the control variables of ozone producing process based on the optimum ozone concentration of ozone production and application obtained by the model of ozone producing process. According to the optimal strategy, the setting values of the control loops are obtained dynamically followed the industrial conditions, and the ozone producing process can be optimized to run at the optimum concentration point and reduce the running cost effectively.Above all, the intelligent measurement and control system of ozone producing process is investigated comparatively deeply. The intelligent measurement and control system is applied to realize the ozone producing process control and optimization and the practical application demonstrates that the intelligent measurement and control system is successful. All works provide valuable method and experience for other industrial processes.