分布式智能型温室计算机控制系统的一种设计与实现

针对农业环境自动化控制的需要,研制了"分布式智能型温室计算机控制系统".该系统体系结构为中心计算机和单片机智能控制仪的主从式结构, 系统采用实时多任务操作系统和农业温室专家系统的人工智能技术,对温室内外环境因子进行实时监测和智能化决策调节,为农作物创造最优化的生长条件.实时多任务系统使系统的通信,环境参数采集,控制可以同时进行;由于现场情况的复杂性和多变性,依靠精确数学模型的传统控制已经无法很好地解决问题,因此,本系统采用存储大量现场经验和知识的专家系统来达到控制的目的.采用专家系统从理论上去验证和分析系统,保证了系统运行的稳定性和可扩展性,降低了开发难度.系统硬件主要由环境因子实时监测模块、智能决策模块组成.软件部分采用COM组态方式实现,包括数据库管理模块、人工控制模块等,具有操作简便,可靠性高,易升级扩充等特点,已实现产品化.     

基于本体的鱼病诊断专家系统的构建

针对传统的鱼病诊断专家系统存在知识表示不精确且推理效率低,不同的专家系统之间知识共享困难等问题,建立了一种基于本体的鱼病诊断专家系统.通过改进的“六步法”对鱼病诊断知识本体进行建模,进而建立鱼病诊断专家系统.该鱼病诊断专家系统大大提高了知识表示的精确性和推理效率,且能够实现鱼病诊断知识的共享.     

自适应模糊控制在配料过程中的研究与应用

针对工业配料过程中配料精度和速度相矛盾的难题,文中提出了一种专家系统、模糊控制结合自适应控制的新型控制方法。该方法将模糊控制宽范围快速调节和自适应精确调节的特点有机结合起来,当系统偏差大于某一设定值时,采用专家经验和模糊规则控制相结合的控制方法;当系统偏差小于设定值时采用自适应控制。实际应用表明,该方法比一般的模糊控制在系统精度和速度上均有所提高。     

SNOMED representation of explanatory knowledge in veterinary clinical pathology

BACKGROUND: The Systematized Nomenclature of Medicine (SNOMED) is an established standard nomenclature for the expression of human and veterinary medical concepts. Nomenclature standards ease sharing of medical information, create common points of understanding, and improve data aggregation and analysis. OBJECTIVES: The objective of this study was to determine whether SNOMED adequately represented concepts relevant to veterinary clinical pathology. METHODS: Concepts were isolated from 3 different types of clinical pathology documents: 1) a textbook (Textbook), 2) the Results sections of industry pathology reports (Findings), and Discussion sections from industry pathology reports (Discussion). Concepts were matched (mapped) by 2 reviewers to semantically-equivalent SNOMED concepts. A quality score of 3 (good match), 2 (problem match), or 1 (no match) was recorded along with the SNOMED hierarchical location of each mapped concept. Results were analyzed using Cohen's Kappa statistic to assess reviewer agreement and chi-square tests to evaluate association between document type and quality score. RESULTS: The percentage of good matches was 48.3% for the Textbook, 45.4% for Findings, and 47.5% for Discussion documents, with no significant difference among documents. Of remaining concepts, 40% were partially expressed by SNOMED and 14% did not match. Mean reviewer agreement on quality score assignments was 76.8%. CONCLUSIONS: Although SNOMED representation of veterinary clinical pathology content was limited, missing and problem concepts were confined to a relatively small area of terminology. This limitation should be addressed in revisions of SNOMED to optimize SNOMED for veterinary clinical pathology applications.     

苹果栽培专家咨询系统

通过建立苹果栽培的知识库、事实库,通过简单的性状选择、图片识别和数据分析,能够识别品种、苗木、病虫害等,并进一步提出诊断结果和栽培建议。     

拨通12396专家农民手牵手

通过典型事例,生动形象地介绍了山东省星火科技"12396"综合信息服务平台的"12396"信息服务热线、远程视频诊断、手机短信、智能专家系统的主要功能,对农业信息化的普及推广具有重要推动作用。     

基于手机彩信通信和图像处理技术的农业专家系统研究

简单描述数字图像处理以及农业专家系统的概念、应用等内容,以农业专家系统在农村推广和普及方面存在的问题为出发点,介绍将手机的彩信通信功能和图像分析处理技术应用于农业专家系统,以此解决现今农业专家系统在推广和普及方面存在的问题,研究一种基于手机通信技术和图像处理技术的新型农业专家系统。     

基于养分专家系统评估双季稻区的氮肥减施潜力

在双季稻区,不同肥力水平稻田的化肥减施潜力还不明晰。本研究针对高中低肥力的双季稻田,通过在养分专家系统(NE)推荐的施氮量基础上设置氮肥增减15%、30%和45%的田间试验,分析了水稻产量及其与氮肥用量的量化关系。结果表明:高中低肥力等级上各处理的早晚稻产量大体呈现出高肥力>中肥力>低肥力的趋势,与低肥力相比,中高肥力的早稻产量提高了2.30%~8.56%,晚稻产量提高了13.56%~17.94%。在NE基础上氮肥减施30%和45%处理下,高中低肥力水平的早稻产量比NE处理降低了8.05%~12.52%,晚稻产量降低了2.03%~6.67%,但低肥力中NE基础上氮肥减施30%的早稻产量则无显著降低。同时,NE基础上氮肥减施15%以及增施15%、30%和45%均不能显著提高高中低肥力水平的早晚稻产量。进一步通过一元二次方程拟合表明,不同肥力等级上早晚稻的产量潜力和对应的氮肥合理用量均呈现出高肥力大于中肥力和低肥力的趋势,养分专家系统可以在实现95%的产量潜力下将氮肥减施12.94%~34.07%,且在维持高产的前提下,高肥力的氮肥减施比例明显低于中肥力和低肥力。因此,在南方双季稻地区,养分专家系统可以在高中低肥力水平实现化肥减施增效,但不同肥力等级氮肥减施比例存在差异。     

A Real-time Expert System Based on Adaptive Predication of Process State

The combination of the measured real time state acquisition from the process with predictive process for the fature state is used to predicate the variable tendency for process state. This method is useful to avoid delay and enhance real time ability of the control information of the expert system. Also a described knowledge and structure of real time process state are proposed. This system can be applied to other kind of practice systems with slow time variable, uncertainty and delay.