论文部分内容阅读
对美国海军紧缩的预算以及对可选择用来“装备”美国海军舰载系统的集中备用物资的日益担忧导致了以提高可承受性和作战效率为目的的调查研究。其中一项研究结果就是要研制标准的监视与控制系统(SMCS)。它是一种模块化开放式结构的控制系统,里面包括推进、电气设备、辅助设备和损管的控制系统部件。对SMCS的第一项重大技术升级要求将人工智能(AI)技术加入HME监视和控制应用。制定智能机械控制综合任务(IMCI)是为这一重大技术升级提供一种结构方法。作为IMCI第一阶段的一部分,要确定智能控制要求,评定AI技术并展望智能控制应用。这篇文章列出了与HME有关的那些舰载作战要求,以此确定智能机械控制要求。而且还初步评定与AI有关的推理以及接着而来的AI技术、基于知识的系统、模糊逻辑、神经网络以及遗传算法。展望部分使人们对AI技术应用于SMCS舰载作战要求方面有某种程度的了解。
The growing concern over the U.S. naval tightening budget and the growing concern that alternative backups can be chosen to “equip” the US Navy’s shipborne systems have led to investigations aimed at increasing affordability and operational efficiency. One of the findings is to develop a standard monitoring and control system (SMCS). It is a modular, open-structured control system that includes control system components for propulsion, electrical equipment, auxiliary equipment, and damage control. The first major technology upgrade to SMCS required the addition of artificial intelligence (AI) technology to HME monitoring and control applications. The development of IMCI is a structural approach to this major technology upgrade. As part of the first phase of IMCI, determine the requirements for intelligent control, assess AI technology, and look to intelligent control applications. This article lists those carrier-based operational requirements associated with the HME to determine the requirements for intelligent machine control. But also preliminary assessment of AI-related reasoning and the subsequent AI technology, knowledge-based systems, fuzzy logic, neural networks and genetic algorithms. The Outlook section gives some insight into the application of AI technology to SMCS carrier-based operations.