机组运动状态识别及作业参数计算方法研究

Research on Motion Status Recognition and Operating Parameters Calculation Method of Agricultural Machinery Unit

基于农机管理信息平台所获得的农业机组位置海量数据识别机组运动状态可以科学计算机组时间利用率和作业效率,对农业机械化高质量发展具有重要意义。为此,在界定农业机组纯作业状态、转弯状态、停歇状态和转移状态基础上,依据北斗卫星导航系统获取的农业机组位置海量数据,设计了农业机组各运动状态识别方法,建立了机组时间利用率和生产率等关键作业参数计算模型。研究结果完善了农业机组海量数据处理及应用理论与方法,可为农业机械化生产与经营组织正确评价机组运动状态和效果、有效节约机械作业成本及提升管理水平提供定量技术支撑。

Based on the massive data of agricultural machinery unit position obtained by the current agricultural machinery management information platform,the time utilization rate and operation efficiency of agricultural machinery units can be scientifically calculated,which is of great significance to the high-quality development of agricultural mechanization.Four movement states of agricultural machinery unit were defined,which are pure operating state,turning state,stopping state and transiting state.The recognition method for agricultural machinery unit movement states were designed,and the mathematic model of key operating parameters such as time utilization rate and productivity were established according to the massive data of agricultural machinery unit position obtained by Beidou satellite navigation system(BDS).The theory and methods of massive data processing and applicating of agricultural machinery units based on BDS were improved,which can provide quantitative technical support for improving scientific evaluation of agricultural machinery units application effect,effectively saving machinery operation cost and improving management level of agricultural mechanization production and operation organization.