An Information Integration Technology for Safety Assessment on Civil Airborne System

IF 2.1 3区 工程技术 Q2 ENGINEERING, AEROSPACE Aerospace Pub Date : 2024-06-06 DOI:10.3390/aerospace11060459
Xi Chen, Quan Zou, Jie Bai, Lei Dong
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Abstract

With the significant expansion of civil aviation, particularly in the low-altitude economy, there is a significant gap between the escalating demand for airworthiness certification of novel aircraft designs, such as electric vertical take-off and landing (eVTOL) vehicles, and the inefficiency of the current safety assessment process. This gap is partially attributed to safety assessors’ limited exposure to these innovative aircraft models in the safety assessment process, necessitating extensive efforts in identifying precedents and their handling strategies. Complicating matters further, pertinent case studies are scattered across diverse, unstandardized digital formats, obliging assessors to navigate voluminous electronic records while concurrently establishing links among fragmented information scattered across multiple files. This study introduces an advanced information integration methodology, comprising a multi-level path-based architecture and a self-updating algorithm. The proposed method not only furnishes safety assessors with pertinent knowledge featuring explicative interconnectedness automatically, but also dynamically enriches this knowledge corpus through operational usage. Additionally, we devise a suite of evaluative criteria to validate the capacity of our method in processing and consolidating relevant safety datasets. Experimental analyses affirm the efficacy of our proposed approach in streamlining and refreshing safety assessment data. The automation of the retrieval of analogous cases, which relieves the reliance on expert knowledge, enhances the efficiency of the overall safety appraisal procedure. Consequently, this research contributes a solution to enhancing the velocity and accuracy of aircraft certification processes.
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用于民用航空系统安全评估的信息集成技术
随着民用航空,尤其是低空经济领域民用航空的大幅扩张,对新型飞机设计(如电动垂直起降(eVTOL)飞行器)的适航认证需求不断攀升,而目前的安全评估流程效率低下,两者之间存在巨大差距。造成这种差距的部分原因是安全评估员在安全评估过程中接触这些创新飞机模型的机会有限,因此必须在确定先例及其处理策略方面做出大量努力。更复杂的是,相关的案例研究分散在不同的、未标准化的数字格式中,这迫使评估人员在浏览大量电子记录的同时,还要在分散在多个文件中的零散信息之间建立联系。本研究介绍了一种先进的信息整合方法,包括一个基于路径的多层次架构和一种自我更新算法。所提出的方法不仅能为安全评估人员自动提供具有说明性相互关联性的相关知识,还能通过操作使用动态丰富这些知识语料库。此外,我们还设计了一套评估标准,以验证我们的方法在处理和整合相关安全数据集方面的能力。实验分析证实了我们提出的方法在简化和刷新安全评估数据方面的功效。类比案例检索的自动化减轻了对专家知识的依赖,提高了整个安全评估程序的效率。因此,这项研究为提高飞机认证程序的速度和准确性提供了解决方案。
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来源期刊
Aerospace
Aerospace ENGINEERING, AEROSPACE-
CiteScore
3.40
自引率
23.10%
发文量
661
审稿时长
6 weeks
期刊介绍: Aerospace is a multidisciplinary science inviting submissions on, but not limited to, the following subject areas: aerodynamics computational fluid dynamics fluid-structure interaction flight mechanics plasmas research instrumentation test facilities environment material science structural analysis thermophysics and heat transfer thermal-structure interaction aeroacoustics optics electromagnetism and radar propulsion power generation and conversion fuels and propellants combustion multidisciplinary design optimization software engineering data analysis signal and image processing artificial intelligence aerospace vehicles'' operation, control and maintenance risk and reliability human factors human-automation interaction airline operations and management air traffic management airport design meteorology space exploration multi-physics interaction.
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