The conception of a large-scale Systems Engineering environment

Leandro Batista, B. Monsuez
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Abstract

With the rise of artificial intelligence, it is time to shape the systems engineering tooling environment for the future. In the last decade, we have seen several emerging technologies that will potentially have a great impact in complex systems. These new technologies are expected to cause a disruptive impact not only in the products but also in to the tools used across the whole product life cycle. For this reason, is imperative to perform a critical review of the current systems engineering tooling ecosystem. This assessment should also map the open research problems that could prevent the complete integration of the new technologies into the systems engineering framework. This paper proposes a new architecture for a system engineering environment to operate in large scale projects. The objective of this research is twofold: it will first identify the capabilities for the next generation platform, and secondly, it will evaluate how artificial intelligence applications can be integrated in compliance with DO-330. The concept developed by this research will drive tool design recommendations enabling the use of artificial intelligence driven applications in a systems engineering tooling ecosystem.
大规模系统工程环境的概念
随着人工智能的兴起,是时候为未来塑造系统工程工具环境了。在过去的十年中,我们已经看到了一些新兴技术,它们可能会对复杂系统产生巨大的影响。预计这些新技术不仅会对产品产生破坏性影响,而且会对整个产品生命周期中使用的工具产生破坏性影响。由于这个原因,必须对当前的系统工程工具生态系统进行严格的审查。这种评估也应该绘制出开放的研究问题,这些问题可能会阻止新技术完全集成到系统工程框架中。本文提出了一种新的体系结构,用于在大型项目中运行系统工程环境。这项研究的目的是双重的:首先确定下一代平台的能力,其次,它将评估如何根据DO-330集成人工智能应用。本研究开发的概念将推动工具设计建议,从而在系统工程工具生态系统中使用人工智能驱动的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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