检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:冯林 刘阳春[2] 王吉中 李明辉 马若飞 张俊宁[2,3] Feng Lin;Liu Yangchun;Wang Jizhong;Li Minghui;Ma Ruofei;Zhang Junning(College of Mechanical and Electrical Engineering,Qingdao Agricnltural University,Qingdao,266109,China;State Key Laboratory of Soil-Plant-Machine System Technology,Chinese Academy of Agricultural Mechanization Science Group Co.,Ltd.,Beijing,100083,China;College of Mechanical and Electrical Engineering,Beijing Information Science and Technology University,Beijing,100092,China)
机构地区:[1]青岛农业大学机电工程学院,青岛市266109 [2]中国农业机械化科学研究院集团有限公司土壤植物机器系统技术国家重点实验室,北京市100083 [3]北京信息科技大学机电工程学院,北京市100092
出 处:《中国农机化学报》2024年第4期72-78,84,共8页Journal of Chinese Agricultural Mechanization
基 金:广东省农业厅科研项目和农业技术推广项目(粤财农[2021]125号)。
摘 要:为提升草原放牧牛羊福利化养殖装置性能,开发一种基于多传感器原位数据检测与模糊PID控制相结合的畜牧养殖智能饮水控温系统。该系统主要由数据采集模块、注水加热模块、温度控制模块以及远程数据监测模块组成。数据采集模块是采用多种传感器对饮水装置中水温、水质、水量等信息实时采集;注水加热模块采用底部注水加热的形式,便于水温自下而上发生层流流动,使水温分布更均匀;温度控制模块采用基于闭环负反馈模糊PID控制算法,自整定PID系数,实现水温精准控制;远程数据监测模块是针对用户设计,便于用户实时观察饮水装置的工作情况。对系统开展模糊PID控温测试以及水温温场均匀性试验验证与仿真分析,试验结果表明:模糊PID控温效果与常规PID控温相比,模糊PID控温曲线更光滑,加热响应速度更快,当预设水温目标温度为23℃,入水水温分别为7℃、9℃、11℃、13℃、15℃时,实际加热温度与目标温度的波动幅度最大仅为0.3℃;对不同测温点加热,得同一水平面不同测温点最大温差为0.3℃,水槽不同截面水温温差小于0.2℃,装置测温点水温能精准控制在23℃±0.5℃。畜牧养殖智能饮水控温系统的水温温度场均匀性良好,能够为福利化养殖提供装备支持。In order to improve the performance of welfare breeding equipment for cattle and sheep grazing on grassland,an intelligent drinking water temperature control system for livestock breeding based on multi-sensor in-situ data detection and fuzzy PID control is developed.The system is mainly composed of data acquisition module,water injection heating module,temperature control module and remote data monitoring module.The data acquisition module uses a variety of sensors to collect the water temperature,water quality,water volume and other information in the drinking water device in real time.The water injection heating module adopts the form of bottom water injection heating,which facilitates the laminar flow of water temperature from bottom to top and makes the water temperature distribution more uniform.The temperature control module adopts the fuzzy PID control algorithm based on closed loop negative feedback,which can self-adjust the PID coefficient to achieve accurate water temperature control.The remote data monitoring module is designed for users,so that users can observe the working conditions of drinking water devices in real time.The fuzzy PID temperature control test and water temperature field uniformity test verification and simulation analysis were carried out for the device.The test results showed that the fuzzy PID temperature control effect was smoother and the heating response speed was faster than the conventional PID temperature control effect.When the preset water temperature target temperature was 23℃and the inlet water temperature was 7℃,9℃,11℃,13℃and 15℃respectively,the maximum fluctuation of the actual heating temperature and the target temperature was only 0.3℃.By heating different temperature measuring points,the maximum temperature difference of different temperature measuring points on the same horizontal plane is 0.3℃,the temperature difference of water in different sections of the water tank is less than 0.2℃,and the water temperature at the temperature measuring point
关 键 词:畜牧养殖 精准控温 多传感器原位数据检测 模糊PID控制
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7