Uncertainty is an important characteristic of scheduling model for scale farm machinery operation organizing. Practice shows that scheduling model without considering uncertainties is nearly useless. Uncertain influen...Uncertainty is an important characteristic of scheduling model for scale farm machinery operation organizing. Practice shows that scheduling model without considering uncertainties is nearly useless. Uncertain influence factors arisen from natural environment, society and economy, market and supply, and customer and behavior, exist widely, emerge frequently, and affect production deeply. Uncertainties interfere with the allocation of productive factors on temporal and spatial dimensions for farm machinery operation scheduling and management. Questionnaire for farm machinery organizations was designed and finished in 2014. Both occurrence frequency and influence degree for each factor were quantified. Four influence factors including operation location change, weather mutation, parts supply delay, and operation skill defects appear in both list of high occurrence and deep influence. Then results of questionnaire and results of specific investigation were used to study temporal and spatial scheduling model and system for farm machinery management. Three case studies are introduced. The first case is about the uncertainty and countermeasure of forage harvesters scheduling and monitoring for a professional forage plantation company. The second case is about the uncertainty and counter measure of cotton-picker scheduling and monitoring for a professional cotton picking company. And the third case is about the uncertainty and countermeasure of social service management for a professional cooperative. The cases show that the research has strong pertinence to deal with uncertainties and can improve management efficiency of farm machinery operation.展开更多
为了解决农机作业过程中暴露出来的信息滞后、时效性差以及缺乏有效的农机调度手段等问题,该文设计并实现了一种基于GPS、GPRS和GIS技术的农机监控调度系统。该系统由基于PDA的车载终端和农机监控调度中心两大部分组成。前者集成了GPS...为了解决农机作业过程中暴露出来的信息滞后、时效性差以及缺乏有效的农机调度手段等问题,该文设计并实现了一种基于GPS、GPRS和GIS技术的农机监控调度系统。该系统由基于PDA的车载终端和农机监控调度中心两大部分组成。前者集成了GPS接收机、传感器和MapX Mobile GIS组件,可以对农机信息进行快速采集和实时显示,并通过GPRS将实时数据发送到数据处理服务器。后者基于MapObjects组件,采用农机调度模型,可以对农机进行实时监控和调度,查询农机的历史行走轨迹等。该系统的实现为远距离快速采集农机信息、农机资源的实时监控和有效调度提供了一种切实可行的解决方案。展开更多
Although Global Navigation Satellite System(GNSS)terminal has been widely used for fleet management,it cannot satisfy the need of managing changes of laborer and implement during farm operation,which are important for...Although Global Navigation Satellite System(GNSS)terminal has been widely used for fleet management,it cannot satisfy the need of managing changes of laborer and implement during farm operation,which are important for social service cooperatives comparing to family farms in China.The objective of this study was to explore a precise,low cost and easy-to-use method for vehicle fleet management of large scale farm machinery cooperatives.A smartphone based application software(APP)named Precise Monitoring System(PMS)was developed to record the farm operation information including tractor,implement and laborer by scanning their Quick Response codes(QR codes),and obtain real time GNSS positions by using built-in GNSS chip of smartphone.Considering the convenience usage for farmers,only two buttons,“start/pause/continue”and“stop”were designed to record farm operation status.Finally,IDs,positions and operation status were combined and transferred to the server through GPRS/3G/4G.Two kinds of experiments were designed and conducted to verify the PMS.The results showed that PMS can realize the basic functions such as precise and real-time monitoring,operation quality tracing,operation mileage and operation area calculating,and U-turn processing.The method and APP could record complex combination of production factors precisely and accurately,which is suitable for the management of vehicle fleet,and can replace GNSS terminal to some extent.展开更多
文摘Uncertainty is an important characteristic of scheduling model for scale farm machinery operation organizing. Practice shows that scheduling model without considering uncertainties is nearly useless. Uncertain influence factors arisen from natural environment, society and economy, market and supply, and customer and behavior, exist widely, emerge frequently, and affect production deeply. Uncertainties interfere with the allocation of productive factors on temporal and spatial dimensions for farm machinery operation scheduling and management. Questionnaire for farm machinery organizations was designed and finished in 2014. Both occurrence frequency and influence degree for each factor were quantified. Four influence factors including operation location change, weather mutation, parts supply delay, and operation skill defects appear in both list of high occurrence and deep influence. Then results of questionnaire and results of specific investigation were used to study temporal and spatial scheduling model and system for farm machinery management. Three case studies are introduced. The first case is about the uncertainty and countermeasure of forage harvesters scheduling and monitoring for a professional forage plantation company. The second case is about the uncertainty and counter measure of cotton-picker scheduling and monitoring for a professional cotton picking company. And the third case is about the uncertainty and countermeasure of social service management for a professional cooperative. The cases show that the research has strong pertinence to deal with uncertainties and can improve management efficiency of farm machinery operation.
文摘为了解决农机作业过程中暴露出来的信息滞后、时效性差以及缺乏有效的农机调度手段等问题,该文设计并实现了一种基于GPS、GPRS和GIS技术的农机监控调度系统。该系统由基于PDA的车载终端和农机监控调度中心两大部分组成。前者集成了GPS接收机、传感器和MapX Mobile GIS组件,可以对农机信息进行快速采集和实时显示,并通过GPRS将实时数据发送到数据处理服务器。后者基于MapObjects组件,采用农机调度模型,可以对农机进行实时监控和调度,查询农机的历史行走轨迹等。该系统的实现为远距离快速采集农机信息、农机资源的实时监控和有效调度提供了一种切实可行的解决方案。
基金of National High Technology Research and Development Program of China(No.2012AA101902)Chinese Universities Scientific Fund(No.2014RC015)+1 种基金Science&Technology Pillar Program of Tianjin(14ZCZDNC00004)Science and Technology for Xinjiang(No.2011AB024)。
文摘Although Global Navigation Satellite System(GNSS)terminal has been widely used for fleet management,it cannot satisfy the need of managing changes of laborer and implement during farm operation,which are important for social service cooperatives comparing to family farms in China.The objective of this study was to explore a precise,low cost and easy-to-use method for vehicle fleet management of large scale farm machinery cooperatives.A smartphone based application software(APP)named Precise Monitoring System(PMS)was developed to record the farm operation information including tractor,implement and laborer by scanning their Quick Response codes(QR codes),and obtain real time GNSS positions by using built-in GNSS chip of smartphone.Considering the convenience usage for farmers,only two buttons,“start/pause/continue”and“stop”were designed to record farm operation status.Finally,IDs,positions and operation status were combined and transferred to the server through GPRS/3G/4G.Two kinds of experiments were designed and conducted to verify the PMS.The results showed that PMS can realize the basic functions such as precise and real-time monitoring,operation quality tracing,operation mileage and operation area calculating,and U-turn processing.The method and APP could record complex combination of production factors precisely and accurately,which is suitable for the management of vehicle fleet,and can replace GNSS terminal to some extent.
