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QualiGrain expert system for stored grain quality maintenance: planning optimal storage technical routes

机译:储藏粮食质量维护的专家系统:规划最优存储技术路线

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The maintenance of cereal quality is a complex problem due to the interaction between biotic and abiotic factors in the stored grain ecosystem. The biotic factors (germination, insects, moulds and mites) provide information on the quality of the grain. The abiotic factors (time, temperature, moisture content, impurities and insecticides) influence the dynamics of biotic factors and provide information on grain storage conditions. The planning problem is to control the abiotic factors with a view tokeeping storage conditions safe. The QualiGrain preventive approach includes four steps: assessment of the initial quality and condition of the grain; planning the optimal storage technical route; monitoring grain condition during storage; and re-planning the storage technical route if the grain condition drifts out of safe storage conditions. In the planning module, we use the biotic factors as state variables, the abiotic factors as control variables and the storage actions as actions of the plan. Astorage action (drying, cooling, cleaning, treating with an insecticide or selecting a bin) is executable if the equipment and/or chemical(s) needed are available. "Dry grain using the medium dryer MD1 to reach 14.5 percent of moisture content" and "Store grain in the vertical bin VB4", for example, are executable storage operations. The planning method is hierarchical, with two levels: (a) generation of generic storage plans, and (b) refining the generic storage plans taking into account time, the equipment available and, the consumables allowed. An optimal storage technical route gives a plan of the storage actions to be executed during the storage period with the estimated safe storage interval after each action of the plan. A prototype of an expertsystem, QualiS, has been developed, running on Windows~(R) on a personal computer. The advice afforded by the decision-support system has been validated by storage specialists before and after pilot-scale experiments in Denmark and the UK.
机译:由于储存谷物生态系统中的生物和非生物因子之间的相互作用,维持谷物质量是复杂的问题。生物因子(萌发,昆虫,模具和螨虫)提供了有关谷物质量的信息。非生物因素(时间,温度,水分含量,杂质,杀虫剂)影响生物因子的动态,并提供有关谷物储存条件的信息。规划问题是控制非生物因素,以防止储存条件安全。 Petigrain预防方法包括四个步骤:评估谷物的初始质量和状况;规划最佳存储技术路线;在储存期间监测谷物状况;并重新规划存储技术路线如果谷物条件漂移在安全存储条件下。在规划模块中,我们将生物因子作为状态变量,非生物因子作为控制变量和存储动作作为计划的操作。 Astorage Action(用杀虫剂或选择垃圾处理的干燥,冷却,清洁,处理)是可执行的,如果所需的设备和/或化学物质可用。 “使用中式干燥机MD1的干燥颗粒达到14.5%的水分含量”和“垂直箱VB4中的储存谷物”,是可执行的存储操作。规划方法是分层的,具有两个级别:(a)生成通用存储计划,(b)精制通用存储计划考虑到时间,可用的设备和允许的耗材。最佳存储技术路由给出了在存储周期期间在存储时段期间执行的存储动作的平面,并且在平面的每个动作之后具有估计的安全存储间隔。已经开发了一个专业系统,Qualis的原型,在个人电脑上运行Windows〜(r)。决策支持系统提供的建议已由丹麦和英国试点实验前后的存储专家验证。

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