铁路局集团公司运输调度安全管理关键技术及应用研究

Key Technologies and Applications of Transportation Dispatching Safety Management of Railway Group Corporation

铁路运输调度指挥过程中的安全管理是守好铁路运输安全的第一道大门,铁路调度指挥音视频安全检查和数据检索分析等调度安全管理的核心工作还主要依靠手动方式来完成,亟需利用新技术、新应用提升调度安全管理的效率和水平。首先研究智能语音分析、智能视频分析和多模态大语言模型等关键技术并设计其在调度安全管理中的应用技术路线;其次分析构建铁路调度指挥安全管理应用需要实现的业务目标;最后按照业务目标要求,详细设计调度人员及安全风险管理、调度语音识别、调度用语考核、调度安全监测、“调度问询”小程序等主要功能。基于人工智能AI音视频分析和多模态大语言模型为铁路智能调度安全管理应用注入新活力,可有效提升调度安全考核、主动监测和智能搜索能力。

Safety management of railway transportation dispatching is the first gate to keep railway transportation safe.The core work of railway dispatching,such as audio and video safety inspection and data retrieval and analysis,mainly relies on manual methods.It is urgent to use new technologies and new applications to improve the efficiency of railway dispatching safety management.This paper first investigated key technologies such as intelligent speech analysis,intelligent video analysis,and multimodal large language model and designed their application routes in dispatching safety management.Secondly,it analyzed the business objectives that need to be realized in constructing railway dispatching safety management applications.Finally,according to the requirements of business objectives,the main functions of dispatching personnel and safety risk management,voice recognition,language assessment,safety monitoring,and“dispatching questioning”app were designed.Based on AI audio and video analysis and a multimodal large language model,it can inject new vitality into the application of intelligent railway dispatching safety management and can effectively improve safety assessment,active monitoring,and intelligent search capabilities.