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Computer software for the control of potato storage environment.

机译:用于控制马铃薯存储环境的计算机软件。

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摘要

Much research has proven that computer controlled vegetable storage can achieve better storage conditions than traditional control systems. During the last 10 years, the use of microcomputer-based environmental control systems has become commonplace. However, to take full advantage of this computerization of the control process, it is not enough only to program the control functions that are performed by normal analog equipment. New and better control strategies must be developed. Recent advances in computer technology have made possible the development of expert systems; a branch of artificial intelligence. One of the advantages of developing such a system is that it provides a reasoning tool which approaches the level of proficiency human experts exhibit in that field. The application of new control methods using expert systems has been extensively demonstrated for greenhouse environments. However, the application of expert systems for the control of vegetable storage is still to be investigated. In the first phase of this project, the development and implementation of a sophisticated control software, using a conventional algorithm-based programming language, were achieved. Throughout the three years of experimentation in an industrial potato storage, the software proved to be appropriate for the control of storage environmental parameters (temperature and relative humidity). During the second phase, the application of an expert system for the on-line control of potato storage was explored. The development of a rule-based expert system, that could replace the conventional algorithm-based control routines was achieved. The integration of the expert system into the control software will result in a highly efficient control software, which can easily be maintained and improved as new knowledge emerges. The use of an expert system will also render possible the representation of heuristic knowledge in the form of rules, which was not possible with the use of conventional, algorithm-based programming language.
机译:许多研究已经证明,计算机控制的蔬菜存储可以比传统的控制系统实现更好的存储条件。在过去的十年中,基于微计算机的环境控制系统的使用已变得司空见惯。但是,要充分利用控制过程的这种计算机化,仅对普通模拟设备执行的控制功能进行编程是不够的。必须开发新的更好的控制策略。计算机技术的最新进展使开发专家系统成为可能。人工智能的一个分支。开发这样的系统的优点之一是它提供了一种推理工具,可以接近人类专家在该领域展现出的熟练水平。使用专家系统的新控制方法的应用已在温室环境中得到了广泛证明。然而,专家系统在控制蔬菜贮藏中的应用仍有待研究。在该项目的第一阶段,使用常规的基于算法的编程语言实现了复杂控制软件的开发和实现。在工业马铃薯存储的三年试验中,该软件被证明适用于控制存储环境参数(温度和相对湿度)。在第二阶段,探索了专家系统在马铃薯存储在线控制中的应用。基于规则的专家系统的开发可以替代传统的基于算法的控制例程。将专家系统集成到控制软件中将产生一个高效的控制软件,随着新知识的出现,可以轻松进行维护和改进。专家系统的使用也将使规则形式的启发式知识的表示成为可能,而传统的基于算法的编程语言的使用是不可能的。

著录项

  • 作者

    Landry, Jacques-Andre.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Engineering Agricultural.;Computer Science.
  • 学位 Ph.D.
  • 年度 1994
  • 页码 290 p.
  • 总页数 290
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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