基于模糊推理的多因素兔舍环境调控方法研究

Regulation Model of Rabbit House Environment Based on Fuzzy Reasoning

针对非线性、大滞后的兔舍环境控制需求,融合多种兔舍环境参数,建立了基于模糊推理的兔舍环境调控方法。该方法以兔舍环境参数(空气温度、相对湿度、CO2浓度、NH3浓度)误差、兔生长阶段和季节作为推理机输入,利用高斯型隶属函数进行环境参数模糊化;分春秋季、夏季和冬季3种情况设置12种模糊控制规则,控制湿帘-风机控制系统和热回收系统执行机构动作,实现对兔舍环境的精准调控。为验证所建立的兔舍环境调控模型的有效性,于2018年5-9月、2018年12月-2019年3月在山东某兔舍进行了试验验证。试验结果表明,利用基于模糊推理的兔舍环境调控方法,可以将兔舍环境参数控制在适宜兔生长发育的范围内,保证了兔的生长发育。

According to the requirement of environment control of rabbit house with non-linear and large lag,a regulation model of rabbit house environment was presented based on fuzzy reasoning,which integrated various environmental parameters of rabbit house.The error of environmental parameters,which included the temperature,humidity,carbon dioxide concentration and ammonia concentration,rabbit growth stage and season were taken as input of inference engine,and the Gauss type membership function was used to fuzzify the environmental parameters;totally 12 kinds of fuzzy control rules were set according to spring,autumn,summer and winter separately.The wet curtain-fan control system and heat recovery system would be controlled by the fuzzy control rules to achieve the precise control of rabbit house environment.In order to verify the validity of the environmental regulation model of rabbit house,experiments were conducted in a rabbit house in Shandong Province from May to September 2018,and December 2018 to March 2019.The experimental results showed that the environment parameters of rabbit house can be controlled within the suitable range of rabbit growth and development by using the regulation model of rabbit house environment based on fuzzy reasoning,so as to ensure the growth and development of rabbits.