期刊论文

Research on grain situation prediction based on Kalman filter algorithm

中文

武汉轻工大学学报

2095-7386

2024

43

2

78-84

10.3969/j.issn.2095-7386.2024.02.011

湖北省科技厅2023年科技人才服务企业项目(编号:2023DJC105) 湖北省技术创新计划重点研发专项项目(编号:2023BBB018) 2023年武汉轻工大学科研项目(编号:2023Y32).

本校为第一机构

粮食的安全存储,通常需要对温度、湿度、水分和CO2浓度等环境信息进行常态化采集并判断粮食是否处于安全状态,为了减轻管理人员的劳动量以及做到及时处理,本文利用优化后的卡尔曼滤波算法,构建出粮情预测模型...展开更多 粮食的安全存储,通常需要对温度、湿度、水分和CO2浓度等环境信息进行常态化采集并判断粮食是否处于安全状态,为了减轻管理人员的劳动量以及做到及时处理,本文利用优化后的卡尔曼滤波算法,构建出粮情预测模型对粮库环境信息进行预测,达到提前预知粮库环境信息的变化情况。并将所构建的粮情预测模型与指数平滑法模型进行对比,结果表明:相较于指数平滑法模型,卡尔曼滤波算法所构...

To ensure the safety of stored grain,it's essential to regularly collect environmental data such as temperature,humidity,moisture,and CO2 levels and determine whether the grain is safe.Previously,this process required manual labor from grain storage managers,which w...MORE To ensure the safety of stored grain,it's essential to regularly collect environmental data such as temperature,humidity,moisture,and CO2 levels and determine whether the grain is safe.Previously,this process required manual labor from grain storage managers,which was both time-consuming and prone to human error.This could e...