基于知识工程的智能灌溉决策支持技术研究  

Decision Support Technology for Irrigation Research based on Knowledge Engineering

作　　者：张育斌[1,2] 魏正英[1] 张帅[1] 徐璟[2] 

机构地区：[1]西安交通大学机械制造系统工程国家重点实验室,西安710054 [2]宁波大红鹰学院,浙江宁波315175

出　　处：《中国农业科技导报》2017年第8期47-54,共8页Journal of Agricultural Science and Technology

基　　金："十三五"国家重点研发计划项目(2016YFC0400201);"十二五"国家科技支撑计划项目(2015BAD24B00);浙江省水利厅科技项目(RC1648);宁波市水利科技项目(NSK201702)资助

摘　　要：随着现代科学技术的发展和农业节水理论的研究的深入,水肥灌溉正朝向精量化、智能化不断发展。提出了基于知识工程的(KBE)智能灌溉系统概念,并开发决策支持系统,利用知识工程的技术和方法,结合计算机网络、智能推理和人工智能等现代高新技术,将多年来的水肥灌溉的研究成果和专家知识进行系统集成。系统包括数据库、模型库,知识库、智能决策、可视化查询等模块,通过计算机程序把专家经验和大量知识结合起来,运用推理和解释机制模仿农业专家进行分析,借助数据挖掘技术、机器学习技术、人工智能技术实现灌水量精准决策,提高灌溉用水的灵活性、准确性、实用性。With the development of modern science and technology research and theory of agricultural water saving,water-fertilizer irrigation are moving towards fine quantization,intelligent. This paper proposed the conception of smart irrigation system based on knowledge engineering（ KBE）,and developed the decision support using techniques and methods of knowledge engineering,and integrated research results and expert knowledge of water-fertilizer irrigation in a system combining with computer network,intelligent reasoning and artificial intelligence and other modern high-tech.The system included database,model base,knowledge base,intelligent decision,visual query module and so on,combined expert experience and extensive knowledge by computer program,and simulates agricultural experts analysis with reasoning and interpretation mechanisms,under the help of data mining,machine learning and artificial intelligence technology to realize precision irrigation decision to improve the flexibility,accuracy and practicability of irrigation.

关 键 词：知识工程 决策支持 智能灌溉 

分 类 号：S274[农业科学—农业水土工程]