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Diagnosis and Control of Hydroponic System Based on Al

基于Al的水培系统诊断与控制

基本信息

批准号：
63860035
负责人：
HASHIMOTO Yasushi
金额：
$ 12.74万
依托单位：
Ehime University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B).
财政年份：
1988
资助国家：
日本
起止时间：
1988 至 1990
项目状态：
已结题

项目摘要

In this research, In order to realize computer integrated agriculture, the authors cultivated tomato plants in hydroponics, measured and identified the cultivation process, and investigated the possibility of introduction of diagnosis and expert system by al Al (artificial intelligence) into cultivation process. As the results, the followings have been mede clear.(1) Diagnosis of plant growth by measurement and identification of cultivation process :It was made clear that it is possible to express the process of plant cultivation in hydroponics by means of identification (linear, non-linear, on-line).(2) Cultivation support expert system by Al :Languages for expert system have been developed by using the Al-computer introduced in this research. Know-how of cultivation was constructed as an expert system, and the expert system which changes the EC' set-point of hydroponic system according to the plant growth works well.(3) Fuzzy control of hydroponic system :There are various uncertain parameters in hydroponic system, causing the difficulty of system diagnosis and control. It have been made clear that introduction of fuzzy theory into these problems is very effective.(4) Support system for tomato cultivation :The authors investigated support system which controls cultivation process by computer, and made a good system for tomato cultivation.(5) Possibility of computer integrated agriculture :The authors developed a model which integrated Al and fuzzy information processing and computer processing in conventional process control in hydroponic system, and made clear the possibility of computer integrated system in agriculture.

为了实现计算机集成农业，本研究对番茄水培栽培过程进行了测量和识别，并探讨了将人工智能诊断和专家系统引入栽培过程的可能性。研究结果表明：(1)通过测量和栽培过程的识别诊断植物生长：已经清楚地表明，可以通过识别（线性、非线性、在线）来表示水培中的植物栽培过程。(2)人工智能栽培支持专家系统：利用本研究中介绍的人工智能计算机，开发了专家系统语言。将栽培知识构建为专家系统，该专家系统根据植物生长情况改变水培系统EC设定值，取得了较好的效果。(3)水耕系统的模糊控制：水耕系统中存在各种不确定参数，给系统诊断和控制带来困难。实践表明，将模糊理论引入这些问题是十分有效的。(4)番茄栽培支持系统：研究了利用计算机控制番茄栽培过程的支持系统，建立了番茄栽培系统。(5)计算机集成农业的可能性：提出了一种将人工智能和模糊信息处理与传统的水耕过程控制中的计算机处理相结合的模型，明确了计算机集成农业的可能性。