应用生成式人工智能开展航天发射场规划设计探讨  

Exploration into Generative Artificial Intelligence Applying in Space Launch Site Planning and Design

作　　者：武璇 魏从旗 张丽萍 孟昭龙 黄科 WU Xuan;WEI Congqi;ZHANG Liping;MENG Zhaolong;HUANG Ke(Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China)

机构地区：[1]北京跟踪与通信技术研究所,北京100094

出　　处：《航天技术与工程学报》2025年第2期8-19,共12页

摘　　要：随着大语言模型(LLM)、生成对抗网络(GAN)等基于神经网络原理的生成式人工智能(GAI)技术的不断发展,已在不同行业积累了较为丰富的案例,然而在工程设计特别是航天发射场规划设计领域还需要进一步探索其应用方式和深化发展路径。对生成式人工智能在航天发射场规划设计工作中的可用性进行研究,并根据神经网络的基本原理,阐述了当前生成式人工智能技术——大语言模型和生成对抗网络的工作原理,对其在工程设计方面的应用进行初步适用性分析;进一步在航天发射场规划、设计方面进行了应用思路的探讨并提出循环渐进式应用发展路线;结合数字化设计体系,讨论基于模型的系统工程与大语言模型结合应用的思路。With the continuous development of generative artificial intelligence(GAI)technologies such as applications of the large language model(LLM)and the generative adversarial network(GAN),extensive case studies have been accumulated in different industries.However,in engineering design fields,especially in the field of space launch site planning and designs,it is necessary to further explore their application methods and deeper development paths.According to the basic principles of neural networks,the applicability of GAI in the planning and design of space launch sites is discussed,the working mechanisms of LLM and GAN are analyzed and described,and the applicability of their applications in engineering designs is preliminarily analyzed.Furthermore,the application ideas are discussed in the planning and designs of space launch sites.We propose a iterative and progressive application development route for GAI in the planning and design of space launch sites;The combination and application of Model Based Systems Engineering(MBSE)and LLM are discussed.

关 键 词：生成式人工智能 大语言模型 生成对抗网络 航天发射场规划设计 基于模型的系统工程 

分 类 号：TP399[自动化与计算机技术—计算机应用技术] V55[自动化与计算机技术—计算机科学与技术]