石油管道泄漏检测模糊识别研究  

Research on detection of oil-pipe-leaking of fuzzy recognition

作　　者：罗菁[1] 倪建云[2] 

机构地区：[1]天津工业大学计算机技术与自动化学院,天津300160 [2]天津理工大学自动化学院,天津311191

出　　处：《微计算机信息》2007年第35期121-122,共2页Control & Automation

基　　金：天津市自然科学基金项目(043601511)

摘　　要：本文采用TGS2610传感器获取石油管道中的气体浓度,并结合模糊识别技术通过PIC16F877对采集到的浓度进行处理并做出相应的指示。实验结果表明,模糊识别技术在石油管道泄漏检测中的应用有效地减少误检测的可能性,提高了检测的快速性和准确性。Petroleum gas density in pipe is acquired by the sensor of TGS2610 in this paper, which is processed by PIC16F877 based on fuzzy pattern recognition and the system give the corresponding indication, The experimental results have shown that fuzzy pattern recognition has reduced the probability of error-detection, improved the rapidness and accuracy of detection.

关 键 词：模糊模式识别:石油气泄漏 PIC16F877 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]