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
Uncertainty extremely interferes with the execution of farm machinery operation.Treating uncertainties is especially important for machinery cooperatives providing social service since they face more uncertain influen...Uncertainty extremely interferes with the execution of farm machinery operation.Treating uncertainties is especially important for machinery cooperatives providing social service since they face more uncertain influence factors(UIFs)than family farms.Under social service circumstance,uncertainties may arise from participants and environments.Classification and evaluation of UIFs were studied in this research.According to the production system,32 UIFs are defined and classified into six categories,which include supply,demand,interactivity,nature,society and others.Uncertainty composite index(UCI)is defined to evaluate the importance of UIFs,which is the square root of the product of occurrence frequency(OF)and impact degree(ID)calculated from the well-designed questionnaire responded by farm machinery operators.UCI is divided into five ranks based on normalization distribution test to illustrate the level of importance.Results from questionnaire showed that natural UIFs have an extreme impact on farm operation,UIFs of the demand and the supply have a serious influence on farm operation,UIFs of interactivity cannot be ignored,and social UIFs have a weak impact on farm operations.This study discovered the uncertainty problems under the specific circumstance of farm machinery service,which may provide a theoretical basis and potential methods for risk management of machinery cooperatives.展开更多
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.
基金We acknowledge the support of National Key Research and Development Program of China(2016YFB0501805)partly supported by Chinese Universities Scientific Fund(2017QC140).
文摘Uncertainty extremely interferes with the execution of farm machinery operation.Treating uncertainties is especially important for machinery cooperatives providing social service since they face more uncertain influence factors(UIFs)than family farms.Under social service circumstance,uncertainties may arise from participants and environments.Classification and evaluation of UIFs were studied in this research.According to the production system,32 UIFs are defined and classified into six categories,which include supply,demand,interactivity,nature,society and others.Uncertainty composite index(UCI)is defined to evaluate the importance of UIFs,which is the square root of the product of occurrence frequency(OF)and impact degree(ID)calculated from the well-designed questionnaire responded by farm machinery operators.UCI is divided into five ranks based on normalization distribution test to illustrate the level of importance.Results from questionnaire showed that natural UIFs have an extreme impact on farm operation,UIFs of the demand and the supply have a serious influence on farm operation,UIFs of interactivity cannot be ignored,and social UIFs have a weak impact on farm operations.This study discovered the uncertainty problems under the specific circumstance of farm machinery service,which may provide a theoretical basis and potential methods for risk management of machinery cooperatives.
