Content variations of the four components in the plants of rice ASD7, IR36 (resistant to brown planthopper) and TN1 (susceptible to brown planthopper), and their influence on rice resistance to brown planthopper ...Content variations of the four components in the plants of rice ASD7, IR36 (resistant to brown planthopper) and TN1 (susceptible to brown planthopper), and their influence on rice resistance to brown planthopper (BPH, Nilaparvata lugens) were investigated. The resistance diversity of rice to BPH biotype II at different plant ages was chiefly attributed to the content variability of the secondary compounds. The contents in the leaf sheath were the lowest as compared with other parts of rice plant. It might explain the reason that BPH has a preference for feeding on leaf sheath aggregately from chemical point of view.展开更多
In compound fertilizer production,several quality variables need to be monitored and controlled simul- taneously.It is very difficult to measure these variables on-line by existing instruments and sensors.So,soft-sens...In compound fertilizer production,several quality variables need to be monitored and controlled simul- taneously.It is very difficult to measure these variables on-line by existing instruments and sensors.So,soft-sensor technique becomes an indispensable method to implement real-time quality control.In this article,a new model of multi-inputs multi-outputs(MIMO)soft-sensor,which is constructed based on hybrid modeling technique,is pro- posed for these interactional variables.Data-driven modeling method and simplified first principle modeling method are combined in this model.Data-driven modeling method based on limited memory partial least squares (LM-PLS)algorithm is used to build soft-senor models for some secondary variables;then,the simplified first prin- ciple model is used to compute three primary variables on line.The proposed model has been used in practical process;the results indicate that the proposed model is precise and efficient,and it is possible to realize on line quality control for compound fertilizer process.展开更多
为能准确建立潮湿甘蔗复合肥的离散元模型,合理设置仿真参数,提高肥料颗粒动力学仿真结果的准确性,以休止角为响应值,对不同含水率的甘蔗复合肥进行试验研究。通过卸料仓法建立含水率与休止角的三元回归方程,决定系数为0.99;基于Hertz-M...为能准确建立潮湿甘蔗复合肥的离散元模型,合理设置仿真参数,提高肥料颗粒动力学仿真结果的准确性,以休止角为响应值,对不同含水率的甘蔗复合肥进行试验研究。通过卸料仓法建立含水率与休止角的三元回归方程,决定系数为0.99;基于Hertz-Mindlin with JKR粘结模型,通过Plackett-Burman试验、爬坡试验和Box-Behnken试验从9个初始参数筛选出JKR表面能、甘蔗复合肥剪切模量、甘蔗复合肥与不锈钢静摩擦系数、甘蔗复合肥间静摩擦系数、甘蔗复合肥间恢复系数5项显著性参数,并建立休止角—离散元参数模型,模型P值小于0.01,变异系数为6.35%;最后,通过对不同含水率下的最佳参数组合进行仿真休止角试验,仿真结果与物理休止角试验的相对误差小于7.66%,验证不同含水率的甘蔗复合肥参数标定结果和研究方法是合理可靠的。研究结果可为基于离散元法的甘蔗施肥机械动力学仿真研究提供参考。展开更多
基金supported by the Key Program of National Natural Science Foundation of China(39930120)the President Research Grant of South China Agricultural University(2002047)
文摘Content variations of the four components in the plants of rice ASD7, IR36 (resistant to brown planthopper) and TN1 (susceptible to brown planthopper), and their influence on rice resistance to brown planthopper (BPH, Nilaparvata lugens) were investigated. The resistance diversity of rice to BPH biotype II at different plant ages was chiefly attributed to the content variability of the secondary compounds. The contents in the leaf sheath were the lowest as compared with other parts of rice plant. It might explain the reason that BPH has a preference for feeding on leaf sheath aggregately from chemical point of view.
基金Supported by the National Natural Science Foundation of China (No.60421002) and the New Century 151 Talent Project of Zhejiang Province.
文摘In compound fertilizer production,several quality variables need to be monitored and controlled simul- taneously.It is very difficult to measure these variables on-line by existing instruments and sensors.So,soft-sensor technique becomes an indispensable method to implement real-time quality control.In this article,a new model of multi-inputs multi-outputs(MIMO)soft-sensor,which is constructed based on hybrid modeling technique,is pro- posed for these interactional variables.Data-driven modeling method and simplified first principle modeling method are combined in this model.Data-driven modeling method based on limited memory partial least squares (LM-PLS)algorithm is used to build soft-senor models for some secondary variables;then,the simplified first prin- ciple model is used to compute three primary variables on line.The proposed model has been used in practical process;the results indicate that the proposed model is precise and efficient,and it is possible to realize on line quality control for compound fertilizer process.
文摘为能准确建立潮湿甘蔗复合肥的离散元模型,合理设置仿真参数,提高肥料颗粒动力学仿真结果的准确性,以休止角为响应值,对不同含水率的甘蔗复合肥进行试验研究。通过卸料仓法建立含水率与休止角的三元回归方程,决定系数为0.99;基于Hertz-Mindlin with JKR粘结模型,通过Plackett-Burman试验、爬坡试验和Box-Behnken试验从9个初始参数筛选出JKR表面能、甘蔗复合肥剪切模量、甘蔗复合肥与不锈钢静摩擦系数、甘蔗复合肥间静摩擦系数、甘蔗复合肥间恢复系数5项显著性参数,并建立休止角—离散元参数模型,模型P值小于0.01,变异系数为6.35%;最后,通过对不同含水率下的最佳参数组合进行仿真休止角试验,仿真结果与物理休止角试验的相对误差小于7.66%,验证不同含水率的甘蔗复合肥参数标定结果和研究方法是合理可靠的。研究结果可为基于离散元法的甘蔗施肥机械动力学仿真研究提供参考。