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联合收获机螺栓运行状态重构方法及系统开发OA

Method and System Development for Reconstructing Bolt Operational Status in Combine Harvesters

中文摘要英文摘要

联合收割机螺栓松动将引发设备故障、安全隐患及经济损失,实时监测螺栓紧固力对提升设备可靠性至关重要.提出一种基于电阻应变原理的螺栓运行状态重构方法,开发了螺栓紧固力智能化监测系统.首先设计螺栓压紧式垫片传感器的结构,搭建基于STM32单片机与LoRa无线传输技术的信号采集、处理和通信电路,开发上、下位机软件子系统.然后在台架试验中采集0~150 kN范围内的敏感体受力数据,运用线性回归与M5P算法构建标定模型.试验数据显示,M5P模型相关系数达0.999 8,平均绝对误差0.66 kN,相对误差为1.91%,精度显著优于线性回归模型.将系统集成至联合收割机,实测结果表明,该系统可实时监测螺栓紧固力并通过上位机界面动态展示,装置体积小巧、安装便捷.研究成果为联合收割机螺栓紧固力监测提供了实用方案,有助于提升国产农机装备智能化水平与可靠性.

Loosening of bolts in combine harvesters can cause equipment failures,leading to safety hazards,and economic losses.Real-time monitoring of bolt tightening force is crucial for improving equipment reliability.A method for reconstructing the operational status of bolts based on the principle of resistance strain is presented,and an intelligent monitoring system is developed for bolt tightening force.First,the structure of a bolt-compressed gasket sensor is designed,and a signal acquisition,processing,and communication circuit based on STM32 microcontroller and LoRa wireless transmission technology is constructed.The software subsystems for upper and lower computers are developed.Force data of the sensitive body within the range of 0~150 kN are collected through bench tests.Linear regression and M5P algorithms are used to establish calibration models.Test results show that the M5P model achieves a correlation coefficient of 0.999 8,an average absolute error of 0.66 kN,and a relative error of 1.91%,with significantly higher accuracy than the linear regression model.The system is integrated into a combine harvester for field verification,and the results show that the system can monitor the bolt tightening force in real-time and dynamically display it through the upper computer interface.The device is compact,easy to install,and avoids cumbersome wiring through wireless transmission.The research provides a practical solution for monitoring bolt tightening force in combine harvesters,contributing to the improvement of intelligent level and reliability of domestic agricultural machinery equipment.

孙美艳;练毅;王邦追;唐忠

江苏航运职业技术学院 交通工程学院,江苏 南通 226010江苏航运职业技术学院 交通工程学院,江苏 南通 226010江苏大学 农业工程学院,江苏 镇江 212013江苏大学 农业工程学院,江苏 镇江 212013

农业科技

联合收获机螺栓紧固力监测系统开发M5P算法

combine harvesterbolt tightening forcemonitoringsystem developmentM5P algorithm

《机电工程技术》 2026 (7)

158-164,7

南通市科技计划项目(MS2023016)

10.3969/j.issn.1009-9492.2025.00070

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