农机化研究2025，Vol.47Issue(7)：52-58,7.DOI:10.13427/j.issn.1003-188X.2025.07.007
基于BP神经网络的整株秸秆还田装置多目标参数优化
Multi-objective Parameter Optimization of Whole-straw Returning Device Based on BP Neural Network
摘要
Abstract
In order to solve the problems of poor fitting degree of errors in multi-objective parameter optimization and low accuracy for the whole-straw returning device,a multi-objective optimization method based on BP Neural Network with high accuracy and stability was proposed.By taking the 1ZT-210 type whole-straw returning device for rice as the re-search object,advancing speed,blade roll rotating speed as test factors,power consumption and straw returning rate as test indexes,and taking the data in the quadratic orthogonal regression rotary combination test as training samples,a BP neural network model on power consumption,straw returning rate and the influencing factors was obtained.The optimal parameter combination of test factors was:the advancing speed of the device was 1.20 km/h,blade roll rotating speed was 225 r/min,and under such circumstance,the minimum power consumption of the device was 12.43 kW and the maximum straw returning rate was 93.25%.Under such test condition,the minimum power consumption of the device was 14.32 kW,lower than that by regression analysis method,and the straw returning rate was 93.14%,better than that by regression analysis method.At last,verification test was conducted on the results of BP neural network optimiza-tion,and the power consumption of the test was 12.68 kW,having an absolute error of 0.25 kW with the results of BP neural network optimization,and a relative error of 2.01%;the straw returning rate was 93.13%,with an absolute error of-0.12%with the results of BP neural network optimization,and a relative error of 0.13%.Test results indicated that,the optimization method had good practicability with high fitting degree,and achieved accurate and stable optimiza-tion results,and could provide a new method for solving similar problems in optimization in the field of agricultural engi-neering.关键词
整株秸秆/还田装置/BP神经网络/参数优化Key words
whole-straw/returning device/BP neural network/parameter optimization分类
农业科技引用本文复制引用
董志贵,张庆柱,刘理,杨天一..基于BP神经网络的整株秸秆还田装置多目标参数优化[J].农机化研究,2025,47(7):52-58,7.基金项目
辽宁省自然科学基金项目(2021-MS-078) （2021-MS-078）
辽宁省教育厅基本科研(面上)项目(LJKMZ20221691) （面上）
辽宁科技学院先锋科研创新团队项目(XKT202306) （XKT202306）
辽宁科技学院博士启动基金项目(2307B06) （2307B06）
