基于互联网定位的农村物流配送信息智能匹配服务系统
|
摘要
针对传统的匹配服务系统在匹配农村物流配送信息时,存在准确性低,花费成本高,不适合农村市场,很难让用户满意的问题,基于互联网定位技术设计一种新的农村物流配送信息智能匹配服务系统。选用具有极强抗干扰性的嵌入式采集器对配送信息进行采集,利用高效的微处理器对采集后的物流配送信息进行匹配处理。设计系统的软件流程主要包括货物位置信息匹配、货物配送时间信息匹配、货物配送人信息匹配、信息结果检测、匹配周期检测五个功能。为检测系统效果,与传统系统进行对比实验。实验结果证明,基于互联网定位技术设计的农村物流配送信息智能匹配服务系统匹配结果准确度高、花费成本低,深受农村用户欢迎,在农村市场中有很大的发展潜力。
The traditional matching service system is not suitable for rural market because its low accuracy and high cost for rural logistics distribution information matching,and is difficult to satisfy users. Therefore,a new intelligent matching service system for rural logistics distribution information is designed on the basis of Internet positioning technology,in which the embedded collector with extremely-strong anti-interference performance is selected to collect the distribution information,and the high-efficient microprocessor is used to match the collected logistics distribution information. The software process of the system is designed, including location information matching of cargo, distribution time information matching of cargo,distribution staff information matching of cargo,information result detection and matching cycle detection. In order to test the effect of the system,the proposed system is compared with traditional system with experiment. The results show that the matching result of the intelligent matching service system of rural logistics distribution information based on Internet positioning technology has high accuracy and low cost,is popular with rural users,and has great development potential in rural market.
The traditional matching service system is not suitable for rural market because its low accuracy and high cost for rural logistics distribution information matching,and is difficult to satisfy users. Therefore,a new intelligent matching service system for rural logistics distribution information is designed on the basis of Internet positioning technology,in which the embedded collector with extremely-strong anti-interference performance is selected to collect the distribution information,and the high-efficient microprocessor is used to match the collected logistics distribution information. The software process of the system is designed, including location information matching of cargo, distribution time information matching of cargo,distribution staff information matching of cargo,information result detection and matching cycle detection. In order to test the effect of the system,the proposed system is compared with traditional system with experiment. The results show that the matching result of the intelligent matching service system of rural logistics distribution information based on Internet positioning technology has high accuracy and low cost,is popular with rural users,and has great development potential in rural market.
引文
[1]武晓钊.农村电子商务与物流配送运营服务体系建设[J].中国流通经济,2016,30(8):99-104.WU Xiaozhao. The construction of rural e-commerce and logis-tics distribution service system[J]. China business and market,2016,30(8):99-104.
[2]卫宗超.互联网环境下农村电子商务和物流配送运营服务机制建设研究[J].商业时代,2017,41(5):64-66.WEI Zongchao. Research on the construction of rural e-commerce and logistics distribution operational service mecha-nism under Internet environment[J]. Business age,2017,41(5):64-66.
[3]周香.基于互联网+的农村电商物流APP信息平台构建研究[J].赤峰学院学报(自然科学版),2017,33(18):119-120.ZHOU Xiang. Construction of APP information platform for ru-ral e-commerce logistics based on Internet+[J]. Journal of Chi-feng University(natural version),2017,33(18):119-120.
[4]陆科达,吴洁明,贺杰,等.物流信息实时智能配对系统的设计与实现[J].广西科学院学报,2017,25(4):311-313.LU Keda,WU Jieming,HE Jie,et al. Design and realization of real-time logistics information intelligent matching system[J]. Journal of Guangxi Academy of Sciences,2017,25(4):311-313.
[5]赵耀,刘亚莉.现代农村电子商务和物流配送运营服务体系研究[J].现代经济信息,2017,44(17):315.ZHAO Yao,LIU Yali. Research on modern rural electronic commerce and logistics distribution operation service system[J]. Modern economic information,2017,44(17):315.
[6]匡兴红,王世明,马腾飞,等.基于跳距内双误差修正的改进质心定位算法研究[J].电子设计工程,2018,26(10):45-48.KUANG Xinghong,WANG Shiming,MA Tengfei,et al. Im-proved centroid based on hopdistance double error correction algorithm[J]. Electronic design engineering,2018,26(10):45-48.
[7]李敬民,陈彦军,吴国平,等.基于GIS的连锁超市物流配送信息系统的设计与实现[J].东华理工大学学报(自然科学版),2017,28(4):391-395.LI Jingmin,CHEN Yanjun,WU Guoping,et al. Design and realization of chain supermarket′s logistics delivery information system based on GIS[J]. Journal of East China Institute of Technology(natural science edition),2017,28(4):391-395.
[8]吴婷.物流配送信息智能传输系统设计[J].现代电子技术,2017,40(13):83-86.WU Ting. Design of intelligent transmission system for logistics distribution information[J]. Modern electronics technique,2017,40(13):83-86.
[9]王福威,李艳秋,李会举.基于ArcGIS的智能物流配送信息系统的研究[J].科学技术与工程,2009,9(24):7521-7524.WANG Fuwei,LI Yanqiu,LI Huiju. The research of intelli-gent logistics distribution information system based on ArcGIS[J]. Science technology and engineering,2009,9(24):7521-7524.
[10]张浩,黎宏,杨浩雄.农产品物流配送信息化发展现状及对策[J].山西农业科学,2017,42(2):178-181.ZHANG Hao,LI Hong,YANG Haoxiong. Present situation and measures of agricultural products logistics and distribu-tion informationization[J]. Journal of Shanxi Agricultural Sciences,2017,42(2):178-181.
[11]李宁,陈定方,祖巧红.采用1stOpt的物流配送信息系统优化[J].湖北工业大学学报,2017,24(2):83-84.LI Ning,CHEN Dingfang,ZU Qiaohong. On the optimization of the information system of logistic distribution with the1stOpt software[J]. Journal of Hubei University of Technolo-gy,2017,24(2):83-84.
[12]肖力.基于改进蚁群算法的物流配送问题研究[J].计算机仿真,2017,65(4):182-185.XIAO Li. Study of the vehicle routing problem based on im-proved ants algorithm[J]. Computer simulation, 2017, 65(4):182-185.
[2]卫宗超.互联网环境下农村电子商务和物流配送运营服务机制建设研究[J].商业时代,2017,41(5):64-66.WEI Zongchao. Research on the construction of rural e-commerce and logistics distribution operational service mecha-nism under Internet environment[J]. Business age,2017,41(5):64-66.
[3]周香.基于互联网+的农村电商物流APP信息平台构建研究[J].赤峰学院学报(自然科学版),2017,33(18):119-120.ZHOU Xiang. Construction of APP information platform for ru-ral e-commerce logistics based on Internet+[J]. Journal of Chi-feng University(natural version),2017,33(18):119-120.
[4]陆科达,吴洁明,贺杰,等.物流信息实时智能配对系统的设计与实现[J].广西科学院学报,2017,25(4):311-313.LU Keda,WU Jieming,HE Jie,et al. Design and realization of real-time logistics information intelligent matching system[J]. Journal of Guangxi Academy of Sciences,2017,25(4):311-313.
[5]赵耀,刘亚莉.现代农村电子商务和物流配送运营服务体系研究[J].现代经济信息,2017,44(17):315.ZHAO Yao,LIU Yali. Research on modern rural electronic commerce and logistics distribution operation service system[J]. Modern economic information,2017,44(17):315.
[6]匡兴红,王世明,马腾飞,等.基于跳距内双误差修正的改进质心定位算法研究[J].电子设计工程,2018,26(10):45-48.KUANG Xinghong,WANG Shiming,MA Tengfei,et al. Im-proved centroid based on hopdistance double error correction algorithm[J]. Electronic design engineering,2018,26(10):45-48.
[7]李敬民,陈彦军,吴国平,等.基于GIS的连锁超市物流配送信息系统的设计与实现[J].东华理工大学学报(自然科学版),2017,28(4):391-395.LI Jingmin,CHEN Yanjun,WU Guoping,et al. Design and realization of chain supermarket′s logistics delivery information system based on GIS[J]. Journal of East China Institute of Technology(natural science edition),2017,28(4):391-395.
[8]吴婷.物流配送信息智能传输系统设计[J].现代电子技术,2017,40(13):83-86.WU Ting. Design of intelligent transmission system for logistics distribution information[J]. Modern electronics technique,2017,40(13):83-86.
[9]王福威,李艳秋,李会举.基于ArcGIS的智能物流配送信息系统的研究[J].科学技术与工程,2009,9(24):7521-7524.WANG Fuwei,LI Yanqiu,LI Huiju. The research of intelli-gent logistics distribution information system based on ArcGIS[J]. Science technology and engineering,2009,9(24):7521-7524.
[10]张浩,黎宏,杨浩雄.农产品物流配送信息化发展现状及对策[J].山西农业科学,2017,42(2):178-181.ZHANG Hao,LI Hong,YANG Haoxiong. Present situation and measures of agricultural products logistics and distribu-tion informationization[J]. Journal of Shanxi Agricultural Sciences,2017,42(2):178-181.
[11]李宁,陈定方,祖巧红.采用1stOpt的物流配送信息系统优化[J].湖北工业大学学报,2017,24(2):83-84.LI Ning,CHEN Dingfang,ZU Qiaohong. On the optimization of the information system of logistic distribution with the1stOpt software[J]. Journal of Hubei University of Technolo-gy,2017,24(2):83-84.
[12]肖力.基于改进蚁群算法的物流配送问题研究[J].计算机仿真,2017,65(4):182-185.XIAO Li. Study of the vehicle routing problem based on im-proved ants algorithm[J]. Computer simulation, 2017, 65(4):182-185.