基于改进支持向量机的海上油性危化品事故预警技术研究

打开文本图片集

中图分类号：TP181 文献标志码：B 文章编码：1672-7274（2025）05-0059-03

Abstract： Effective early warning of ofshore oil hazardous chemical accidents can identify potential risks in advance，take emergency measures，reduce the probabilityof accidents，minimize the damage caused by accidents， protectthe marine environment，reduce economic losses，and ensure public safety.The article improves the support vector machine model by combining different kernel functions in a weighted manner and using the AdaBoost algorithm to improve its prediction performance.Through empirical testing，ithas been proven to effectively improve the performance of accident warning.

Keywords： offshore oily hazardous chemicals; fault warning; improving support vector machine

1 研究背景

海上石油开采和运输过程中涉及大量油性危化品，极易因操作失误、设备故障或外界环境因素引发爆炸、泄漏等安全事故。（剩余2812字）