In the process of Paper Mill Flue Gas Treatment, the use of advanced sensor technology, online monitoring equipment and automatic control systems is the key to improving treatment efficiency.

Sensor technology is the foundation. For the main pollutants in paper mill flue gas, such as sulfur dioxide, nitrogen oxides, particulate matter, etc., corresponding sensors can be installed. For example, electrochemical sensors can be used to detect sulfur dioxide concentrations. The principle is based on the change of electrical signals generated by the chemical reaction between sulfur dioxide and electrode surface substances. Optical sensors have a good monitoring effect on particulate matter concentrations. Through the principle of light scattering, they can sense the content of particulate matter in flue gas in real time. These sensors have the characteristics of high precision and high sensitivity, and can accurately obtain flue gas composition and concentration information.

Online monitoring equipment is the core link. It integrates a variety of sensors and has data transmission and processing functions. Taking the continuous emission monitoring system (CEMS) as an example, it can measure the flow rate, temperature, pressure, humidity and concentration of various pollutants of flue gas in real time online. These devices transmit the collected data to the control center through the network to provide a basis for subsequent analysis and decision-making. At the same time, the online monitoring equipment also has automatic calibration and fault diagnosis functions to ensure the accuracy and reliability of the data.

The automatic control system is the key to achieving precise control. Based on the data transmitted by sensors and online monitoring equipment, the automatic control system adopts advanced control algorithms. For example, when the sulfur dioxide concentration is detected to be excessive, the control system can automatically adjust the slurry flow or pH value in the desulfurization equipment to enhance the desulfurization effect. For bag filters, the cleaning cycle and intensity are automatically adjusted according to the particle concentration and pressure difference data to ensure dust removal efficiency. Through this real-time feedback and adjustment mechanism, the flue gas treatment process is always in the best state.

In addition, by using big data and artificial intelligence technology to analyze the long-term accumulated monitoring data, more optimized control parameters and processing modes can be discovered. The comprehensive application of this series of advanced technologies can significantly improve the efficiency of Paper Mill Flue Gas Treatment, reduce pollutant emissions, and achieve the coordinated development of environmental protection and production.