湖南农业科学
湖南農業科學
호남농업과학
HUNAN AGRICULTURAL SCIENCES
2014年
3期
98-100
,共3页
粮仓%温度%无线传感器网络%最小二乘法(OLS)%预测
糧倉%溫度%無線傳感器網絡%最小二乘法(OLS)%預測
량창%온도%무선전감기망락%최소이승법(OLS)%예측
granary%temperature%wireless sensor network%least square method%forecast
在粮食储藏过程中，温度作为粮库粮情的一个重要参数，对粮食霉变以及粮库中虫灾、鼠患等的发生有极大的影响。试验在模拟的粮仓中采用无线传感器网络技术对粮库温度进行监测，在监测数据的基础上，运用普通最小二乘法（OLS）构建数学模型对粮仓温度进行预测。结果表明：该方法设计合理，误差较小，有较强的可操作性，并且方便快捷、成本低廉，有助于粮仓高效低能的正常运转。
在糧食儲藏過程中，溫度作為糧庫糧情的一箇重要參數，對糧食黴變以及糧庫中蟲災、鼠患等的髮生有極大的影響。試驗在模擬的糧倉中採用無線傳感器網絡技術對糧庫溫度進行鑑測，在鑑測數據的基礎上，運用普通最小二乘法（OLS）構建數學模型對糧倉溫度進行預測。結果錶明：該方法設計閤理，誤差較小，有較彊的可操作性，併且方便快捷、成本低廉，有助于糧倉高效低能的正常運轉。
재양식저장과정중，온도작위량고량정적일개중요삼수，대양식매변이급량고중충재、서환등적발생유겁대적영향。시험재모의적량창중채용무선전감기망락기술대량고온도진행감측，재감측수거적기출상，운용보통최소이승법（OLS）구건수학모형대량창온도진행예측。결과표명：해방법설계합리，오차교소，유교강적가조작성，병차방편쾌첩、성본저렴，유조우량창고효저능적정상운전。
In the process of grain storage, temperature, as a key indicator of the actual situation, greatly affects moldiness, pests and mice. The experiment using wireless sensor network technology to monitor temperature of the simulative granary; on the basis of monitoring data, Ordinary Least Square (OLS) method was used for establish math model in order to forecast the temperature of the simulative granary. The results showed that the method featured with well design, little error and high operability, and it is convenient, fast and low cost. Therefore, the method can help granary to operate well with high efficiency and low emerge.
