甘蔗联合收割机关键部件运行参数决策支持系统  

Decision support system for operation parameters of key components of sugarcane combine harvester

作　　者：陈远玲[1] 金亚光 闫明洋 陈浩楠 高骁卿 Chen Yuanling;Jin Yaguang;Yan Mingyang;Chen Haonan;Gao Xiaoqing(College of Mechanical Engineering,Guangxi University,Nanning,530004,China)

机构地区：[1]广西大学机械工程学院,南宁市530004

出　　处：《中国农机化学报》2022年第8期119-127,共9页Journal of Chinese Agricultural Mechanization

基　　金：国家自然科学基金项目(51665004)。

摘　　要：为解决甘蔗机械化收割时存在破头率和含杂率高等问题,提出一种基于最小二乘支持向量机(LSSVM)的甘蔗收割质量预测模型。分别利用粒子群算法(PSO)和遗传算法(GA)对LSSVM模型进行优化,采用平均绝对误差(MAE)和均方误差(MSE)作为评价指标对其进行选优,结果发现采用PSO-LSSVM模型对甘蔗破头率进行预测时,MAE值为0.16875,MSE值为0.02755;对甘蔗含杂率进行预测时,MAE值为0.1075,MSE值为0.02443,相比于其他模型预测效果更好。在LabVIEW软件中选择PSO-LSSVM预测模型为系统提供算法支持,结合MySQL数据管理软件开发甘蔗联合收割机关键部件运行参数决策支持系统,并进行田间机收试验。结果表明:该系统可以实现甘蔗收割质量影响因素分析、甘蔗收割质量预测、甘蔗关键部件运行参数决策支持等功能。采纳系统决策建议后,甘蔗宿根的破头率从9.02%下降到5.76%,含杂率从8.74%下降到4.94%,甘蔗收割质量提升,为提高甘蔗机械化收割质量提供一种可行方案。In order to solve the problems of high head breakage rate and impurity rate in mechanized sugarcane harvesting,a sugarcane harvesting quality prediction model based on least squares support vector machine(LSSVM)was proposed.The LSSVM model was optimized by particle swarm optimization(PSO)and genetic algorithm(GA),and MAE and MSE were used as evaluation indexes.The results showed that when PSO-LSSVM model was used to predict the breakage rate of sugarcane,MAE value was 0.16875 and MSE value was 0.02755.Also,when predicting the impurity rate of sugarcane,MAE value was 0.1075 and MSE value was 0.02443,which was better than other models.PSO-LSSVM prediction model was selected in LabVIEW software to provide algorithm support for the system.Combined with MySQL data management software,a set of decision support systems for operation parameters of sugarcane harvester was developed,which analyzed factors affecting sugarcane harvesting quality,prediction of sugarcane harvesting quality,and decision support for operating parameters of key sugarcane components.From the field test,the results revealed that after adopting the system decision-making suggestions,the breakage rate of sugarcane roots decreased from 9.02%to 5.76%,the impurity rate decreased from 8.74%to 4.94%,and the harvest quality of sugarcane improved.As such the results provide a feasible solution for improving the quality of mechanized sugarcane harvesting.

关 键 词：甘蔗联合收割机 粒子群算法 决策支持系统 破头率 含杂率 

分 类 号：S225.53[农业科学—农业机械化工程]