中国农业科技导报 ›› 2017, Vol. 19 ›› Issue (5): 60-69.DOI: 10.13304/j.nykjdb.2016.527

• 智慧农业 农机装备 • 上一篇    下一篇

基于Multi-Agent的智能植物系统的构建与应用研究

吴升1,2,郭新宇2,苗腾2,肖伯祥2,温维亮2,赵春江1,2*   

  1. 1.北京林业大学信息学院, 北京 100083;
    2.北京农业信息技术研究中心, 数字植物北京重点实验室, 北京 100097
  • 收稿日期:2016-08-26 出版日期:2017-05-15 发布日期:2016-12-12
  • 通讯作者: 赵春江,教授,博士生导师,主要从事农业信息化研究。E-mail:zhaocj@nercita.org.cn
  • 作者简介:吴升,博士研究生,主要从事数字植物研究。E-mail:wus@nercita.org.cn。
  • 基金资助:
    国家863计划项目(2013AA102405);北京市科技新星项目(Z131101000413022)资助。

Construction and Application of Intelligent Plant Platform Based on Multi-Agent

WU Sheng1,2, GUO Xinyu2, MIAO Teng2, XIAO Boxiang2, WEN Weiliang2, ZHAO Chunjiang1,2*   

  1. 1.School of Information Science & Technology, Beijing Forestry University, Beijing 100083;
    2.Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
  • Received:2016-08-26 Online:2017-05-15 Published:2016-12-12

摘要: 植物的智能化是在物联网传感数据实时驱动下,由知识模型和多源异构数据融合计算提供智能决策,从而实现植物与环境、植物与人、植物与植物之间互联互通、全程感知与实时反馈的智能化过程,探讨了智能植物的概念、内涵、技术体系及基于Multi-Agent的智能植物系统构建方法。针对植物智能行为复杂异构性,将Multi-Agent技术应用于植物的生长计算和行为模拟,从面向服务的智能植物农业应用出发,综合分析了植物的自治性、反应性、社会性和主动性等智能属性、概念和内涵,构建了多智能体智能植物系统。多智能体智能植物系统的内核由感知器Agent、数据处理Agent、知识模型Agent、智能计算Agent以及虚拟交互Agent构成,并详细描述了系统结构及其关键模型,在多Agent系统中,植物能够感知其所处的环境上下文,自主地决策其行为。构建了基于Multi-Agent的智能植物系统,并以果树修剪虚拟培训智能服务为例验证,结果表明,该系统交互性强、智能程度高、体验效果好,以期为智能植物的发展提供有益的帮助。

关键词: 智能植物, Multi-Agent, 技术体系, 本体建模, 服务代理

Abstract: Plant intelligence is driven by the real-time sensing data of Things Internet and provide intelligent decision by knowledge model and multi-source heterogeneous data fusion calculation to realize the intelligent process of connectivity, whole perception, real-time feedback between plant and environment, plant and people, plant and plant. This paper discussed the concept, connotation and technical system of intelligent plant, and the construction method of intelligent plant system based on Multi-Agent. Aiming at the complex isomerism of intelligent plant behavior, the Multi-Agent technology was applied in plant growth count and behavior simulation. From service-oriented application in intelligent plant, the paper comprehensively analyzed intelligent property, concept and connotation including plant autonomy, reactiveness, sociality, and initiative, and then the intelligent plant system was constructed. The Kernel intelligent plant system consists of sensor agent, data processing agent, knowledge model agent, intelligent calculation agent, and simulation interaction agent. This paper described in detail the system structure and its key model. In the Multi-Agent system, plant could perceive its environment context, and independently make behavior decision. The intelligent plant system was constructed based on Multi-Agent, and took a fruit tree pruning virtual training service case as an example. This system showed strong interactivity, high intelligence degree, good experience effect. So, this research might provide useful help for the development of Intelligent Plant.

Key words: intelligent plant, Multi-Agent, technical system, Ontology Modeling, Service agent