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数理统计分析算法下智能插秧机作业优化研究

曾翔宇

农机化研究2024,Vol.46Issue(1):59-62,4.
农机化研究2024,Vol.46Issue(1):59-62,4.

数理统计分析算法下智能插秧机作业优化研究

Research on Operation Optimization of Intelligent Transplanter Based on Mathematical Statistical Analysis Algorithm

曾翔宇1

作者信息

  • 1. 吉林开放大学, 长春 130022
  • 折叠

摘要

Abstract

This paper takes the power distribution and parameter optimization of the driving motor of the intelligent trans-planter as the research object,obtains the traction force data under different loads and different travel speeds during the operation of the electric transplanter by means of experimental verification,obtains the average traction force data by using the mathematical statistical analysis algorithm,and according to the operation power demand of the transplanter transplan-ting mechanism and square mechanism,analyze the power distribution of the electric rice transplanter,determine the power demand of the driving motor of each mechanism and the overall power supply of the rice transplanter,further opti-mize the operation parameters of the rice transplanter,and obtain the maximum operation area data of the electric rice transplanter under different loads and different traveling speeds by means of experiments,the average data of the maxi-mum working area of the transplanter is obtained by mathematical statistical analysis.The results show that the maximum continuous working area can be obtained when the traveling speed of the transplanter is 0.5m/s.

关键词

电动插秧机/数理统计算法/优化分析/行进速度

Key words

electric transplanter/mathematical statistical algorithm/optimization analysis/travel speed

分类

农业科技

引用本文复制引用

曾翔宇..数理统计分析算法下智能插秧机作业优化研究[J].农机化研究,2024,46(1):59-62,4.

基金项目

吉林省职业技术教育学会科研课题(2020XHY247) (2020XHY247)

农机化研究

OA北大核心

1003-188X

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