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通航空难搜救路径预测专家系统
引用本文:沈笑云,秦芹,焦卫东.通航空难搜救路径预测专家系统[J].信号处理,2015,31(11):1479-1483.
作者姓名:沈笑云  秦芹  焦卫东
作者单位:中国民航大学智能信号与图像处理天津市重点实验室
基金项目:天津市应用基础与前沿技术研究计划(14JCYBJC16000);中央高校基本科研业务费项目(3122013C016,3122013Z001,3122015D003);中央高校基本科研业务费资助项目(2000250711)
摘    要:针对通航搜救决策智能化程度不高的现状,采用面向对象语言C#和三维GIS平台作为路径推测专家系统的前端开发平台,利用MySQL作为系统后台数据库,开发了一个基于产生式规则表示知识的搜救路径推测专家系统。首先介绍了路径推测专家系统的总体结构,然后阐述了该系统中知识库模块和推理机模块的设计方法;最后叙述了该系统的模拟验证。仿真结果表明:在出现大幅度快速下降和无监视信息两个征兆的状况下,本系统能够进行飞机失事可能路径的预测,验证了专家系统对失事航空器可能路径预测的有效性,对于通航搜救决策智能化探索具有一定的参考价值,是国内通航搜救的一个新方法。 

关 键 词:失事航空器    搜救区域    可能路径    专家系统
收稿时间:2015-06-11

Expert System of Search And Rescue Roads Prediction for GA Crash
Institution:Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China
Abstract:Aiming at the status policy of GA SAR intelligent degree is not high, using the object-oriented language C# and 3D-GIS platform as the front end development platform of the expert system of prediction for possible airline, using MySQL as a backstage supporter's database of the system, an expert system of prototype for aeronautical search and rescue operations be developed. Firstly, the overall structure is introduced. Then, knowledge base and inference engine of the system is introduced in detail. At last, the expert system is verified through simulated instance. It is proved that in the case of a large margin of rapid decline and no surveillance information two symptoms occurred, possible roads of the crash aircraft could be predicted by this system. It is verified that the prediction of possible roads by this expert system is available and it is relevant for exploration of GA SAR intelligent, and it is a new method for GA SAR in China. 
Keywords:
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