海军航空大学学报2024，Vol.39Issue(1)：115-122,8.DOI:10.7682/j.issn.2097-1427.2024.01.003
面向空管模拟机培训的智能应答机长研究
Automatic Pilot Agent for ATC Simulator Training
摘要
Abstract
Current Air Traffic Controllers(ATCO)training systems require human pseudo-pilot to complete the training procedure,which decreases the efficiency to controller simulation training.In this work,an automatic pilot agent(APA)framework is proposed to empower the controller simulation training systems.The proposed APA framework consists of four modules,including automatic speech recognition(ASR),controlling instruction understanding(CIU),controlling in-struction repetition(CIR),text-to-speech(TTS).Furthermore,a set of repeating rules are designed to adapt the various flight phase and ATC scenarios according to the ATC rules.In addition,the flight emergency handling module is integrat-ed in the proposed APA framework to improve the ability of the ATCO to handle the emergency situation intentionally and strategically.The experimental result shows that the proposed APA framework achieves desired performance,reaching 88.6％repetition accuracy,which can greatly improve controller training quality and efficiency,reduce human cost.In ad-dition,the proposed APA framework can integrate into the existing controller training simulator system as subsystem,which has strong convenience and compatibility.关键词
空管模拟机/智能机长/指令复诵/语音识别Key words
ATC simulator/intelligent pilot/instruction recitation/automatic speech recognition分类
信息技术与安全科学引用本文复制引用
郭成龙,廖伟,田晨,林毅,吴九州,赵雅珺,游学杭,李锦恒..面向空管模拟机培训的智能应答机长研究[J].海军航空大学学报,2024,39(1):115-122,8.基金项目
国家自然科学基金区域创新发展联合基金项目重点项目(U20A20161) （U20A20161）
中国民用航空西南地区空中交通管理局科技项目(202250) （202250）
四川省科技计划资助 （）
