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A dynamic object oriented top-level advanced life support system model.

机译:一个动态的面向对象的高级高级生命支持系统模型。

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摘要

The National Aeronautics and Space Administration (NASA) has shifted program goals towards long-term space missions. Potential mission scenarios include the International Space Station (ISS) and permanent Lunar and Martian bases. The logistics involved in long-term missions have become progressively more complicated as mission duration increases. Most notably, the life-sustaining supplies from Earth will not be readily available. The distance to these locations is simply overwhelming and regular travel for supply purposes rapidly becomes too costly. Therefore, members of NASA's Advanced Life Support (ALS) Program currently investigate the systems capable of providing the needs of a human crew in long-term missions. These ALS Systems may include a biological component where higher plants are grown to provide food as well as recycle air and water. Biological and/or physicochemical waste processing will be necessary to recycle solid and liquid wastes back into the system. Further, the explorers themselves will be components in the overall system since they also process food, air, and water in their everyday biological activities.; A modeling tool has been developed for the analysis of ALS systems. The modeling tool takes a top-level approach and is modular enough to allow flexibility, in simulation while considering the entire system. Object-oriented techniques are well suited for this and are utilized in the development of the modeling tool.; Four major sub-systems have been identified within an ALS System: Biomass Production, the Crew, Food Processing & Nutrition, and Waste Processing & Resource Recovery. Each subsystem is modeled independently and is subsequently united with other sub-models to form one overall top-level model.; Several scenarios have successfully been simulated demonstrating the usefulness of the modeling tool. The simulations have demonstrated the flexibility of the modeling tool by modeling a variety of scenarios. Scenarios discussed here include three different biomass production subsystems ranging from a salad machine to two large biomass production chambers. Two solid waste processing subsystems were compared considering stabilizing technologies versus oxidative technologies. Two different carbon dioxide removal systems were considered for air revitalization. Wastewater processing was also varied allowing the comparison of a physicochemical wastewater processing system versus a biological system.
机译:美国国家航空航天局(NASA)已将计划目标转向了长期太空飞行。潜在的任务场景包括国际空间站(ISS)和永久的月球和火星基地。随着任务持续时间的增加,长期任务所涉及的后勤工作变得越来越复杂。最值得注意的是,来自地球的维持生命的物资将不易获得。到这些位置的距离简直令人无法承受,出于供应目的的常规旅行很快变得太昂贵了。因此,NASA的高级生命支持(ALS)计划的成员目前正在研究能够满足长期任务中人员需求的系统。这些ALS系统可能包含生物成分,在那里种植高等植物以提供食物以及循环空气和水。为了将固体和液体废物循环回系统,必须进行生物和/或物理化学废物处理。此外,探险者本身将成为整个系统的组成部分,因为他们也在日常的生物活动中处理食物,空气和水。已经开发出一种用于分析ALS系统的建模工具。建模工具采用顶级方法,并且模块化程度足以允许在考虑整个系统时进行仿真的灵活性。面向对象技术非常适合于此,并且在建模工具的开发中得到了利用。 ALS系统中已确定了四个主要子系统:生物量生产,机组,食品加工与营养以及废物加工与资源回收。每个子系统都是独立建模的,随后与其他子模型结合在一起,形成一个整体的顶层模型。已经成功地模拟了几种方案,证明了建模工具的实用性。通过对各种场景进行建模,仿真证明了建模工具的灵活性。这里讨论的方案包括三个不同的生物量生产子系统,范围从沙拉机到两个大型生物量生产室。比较了两个固体废物处理子系统,其中考虑了稳定技术与氧化技术。考虑了两种不同的二氧化碳去除系统来进行空气再生。废水处理也各不相同,从而可以将物理化学废水处理系统与生物系统进行比较。

著录项

  • 作者

    Rodriguez, Luis Felipe.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Engineering System Science.; Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 系统科学;一般工业技术;
  • 关键词

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