摘要
为了提高收割机远程控制作业的智能化水平,实现收割机的无人化作业,基于音乐舞蹈机器人的音乐识别技术,在远程控制系统的设计上引入了语音指令识别系统,在收割机作业遇到突发状况时可以实现收割机的远程干预。为了验证控制系统的可行性,模拟农田无人化作业的环境,对收割机指令识别系统的识别精度和动作执行误差进行了测试,结果表明:采用小波神经网络算法后,语音指令识别系统可以得到较高的语音识别和动作执行精度,满足了收割机远程控制系统智能化设计需求。
In order to improve the intelligent level of the harvester's remote control operation and realize the unmanned operation of the harvester,it introduced a voice command recognition system into the design of the remote control system based on the music recognition technology of the music and dance robot,which can realize the remote intervention of the harvester when the harvester is in an emergency.In order to verify the feasibility of the control system and simulate the environment of unmanned operation in farmland,it tested the recognition accuracy and action execution error of the harvester command recognition system.The test results showed that the voice command recognition system can obtain high speech recognition and action execution accuracy by using wavelet neural network algorithm,which can meet the intelligence of the harvester remote control system Design requirements.
作者
李艳慧
Li Yanhui(Henan Radio&Television University,Zhengzhou 450008,China)
出处
《农机化研究》
北大核心
2022年第2期224-227,232,共5页
Journal of Agricultural Mechanization Research
基金
河南省社会科学界联合会调研项目(SKL-2019-1873)。
关键词
智能收割机
远程控制系统
舞蹈机器人
神经网络
小波算法
intelligent harvester
remote control system
dance robot
neural network
wavelet algorithm
作者简介
李艳慧(1986-),女,郑州人,讲师,硕士,(E-mail)yanhui-li1986@yeah.net。
