Application of Big Data Technology in Evaluation of Operating State of High-Pressure Hydrogenation Heat Exchanger

摘要

The high-pressure hydrogenation heat exchanger is an important device of the refinery, but the high-pressure hydrogenation heat exchanger is exposed to the problem of leakage caused by ammonium salt corrosion. Therefore, it is very important to evaluate the operating status of the hydrogenation heat exchanger. To improve the method of using the traditional method to evaluate the operating status of hydrogenation heat exchangers, this paper proposes a method for evaluating the operating status of hydrogenation heat exchangers based on big data. For noisy data common in the industry, this paper proposes an automated noisy interval detection algorithm. For the problem that the sensor parameters have high dimensions and there are unrelated dimensions, this paper proposes a key parameter detection algorithm based on Pearson correlation coefficient. Finally, this paper presents a system-based health scoring algorithm based on PCA (Principal Component Analysis) to assist site operators in assessing the health of hydrogenation heat exchangers. The evaluation of the operating status of the hydrorefining heat exchange device based on big data technology will help the technicist to more accurately grasp the status of the industrial system and have positive guiding significance for the early warning of the failure.