Prediction and Analysis of Waste Quantity of Fluorine Containing Adsorbents in Electric Power

作者：Hang Liu, Dongyi Wan, Gang Wei, Yao Luo · 年份：2023 · DOI：10.1109/iaecst60924.2023.10502698 · 研究领域：Non-Destructive Testing Techniques、Engineering Diagnostics and Reliability、Advanced Power Generation Technologies

SF6 has good electrical insulation performance and excellent arc extinguishing performance, but it can cause damage to electrical equipment. To reduce damage, the method of injecting adsorbents is often used, but timely replacement is necessary to avoid the generation of fluoride containing waste. This article calculates the input of SF6 and SF6 adsorbents for high-voltage electrical equipment in Chongqing and conducts modeling analysis. Select SPSS data software to establish time series (ARIMA) models, exponential smoothing models, and trend extrapolation models. By processing the data and modeling it, and selecting the optimal model to predict future investment. Based on the predicted results, analyze the law of predicting the recovery amount of fluorinated adsorbents in electricity, and provide suggestions for reasonable resource allocation for equipment operation and maintenance.