基于分层模糊推理的石油钻井事故预警系统  

Development of an Oil Drilling Accident Prewarning System Based on Hierarchical fuzzy inference

作　　者：王杰[1] 李广[1] 朱晓东[1] 

机构地区：[1]郑州大学电气工程学院,郑州450001

出　　处：《微计算机信息》2008年第21期177-178,184,共3页Control & Automation

基　　金：河南省杰出人才创新基金项目:智能化网络入侵防御系统关键技术研究(074200510013);河南省教育厅自然科学基金:网络协议兼容和规则完备的智能入侵防御系统研究(2007520048)

摘　　要：为解决石油钻井事故预警中事故类型多、传感器参数多、主判参数不明确等困难,提出了基于分层模糊推理的石油钻井事故预警方法并进行了系统开发。该系统首先对采集的原始数据进行整理和滤波,在此基础上,进行阈值提取与逻辑计算,然后采用"增一型"分层模糊模型进行推理。该系统解决了在多维模糊推理中因输入参数众多而造成的推理规则数爆炸的典型维数灾问题,经实验室仿真和现场实验表明,该系统可准确、及时预报石油钻井事故。To solve the problems such as more accident patterns, more sensor parameters and indeterminacy of main sentence parameters during the prewarning process of the oil drilling, hierarchical fuzzy inference is presentedin this paper. Firstly, collate and filter the original data we collected, then extract the characteristic threshold and take logical computations, finally we use one-plus hierarchical fuzzy model to infer and analyze the accidents.The simulation experiment results and spot practice indicate that the problem of rule-explosion and long inference time which are always accompanied with multi-dimension fuzzy inference can easily be solved, and meanwhile we can predict the drilling accidents correctly and quickly.

关 键 词：分层模糊推理 钻井事故 预警系统 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]