Journal of Guangdong University of Technology ›› 2018, Vol. 35 ›› Issue (03): 113-118.doi: 10.12052/gdutxb.180022

Previous Articles    

Construction and Application of the Production Operation & Decision-making System Based on Big Data for Transport Group

Li Wei-hua1, Li Zhi-meng2   

  1. 1. School of Information Science and Technology, Huizhou University, Huizhou 516007, China;
    2. Guangdong Yunwei for Big Data Technology Consulting Limited Company, Guangzhou 510640, China
  • Received:2018-01-30 Online:2018-05-09 Published:2018-05-24
  • Supported by:
     

HTML

PDF (PC)

2738

Abstract: To achieve the unified collecting, processing, analyzing and decision of the production and operation data for the Southern Transport Group, the production operation and decision-making system based on big data was constructed. It can help the administrators rapidly analyze the production and operation status of each department. With the help of the powerful visual function of the management cockpit, the decision makers can analyze the multidimensional datasets of the production and operation. It can also raise the level of informatization. On this basis, analysis and implements for sorts of big data were carried out to improve the intelligent level of the production and operation for the transport group. It can be useful for data mining and analysis of related study.

Key words: transport group, the production operation and decision-making system, big data, multidimensional datasets, data analysis

CLC Number: 

  • TP399
[1] MANYIKA J, CHUI M, BROWN B, et al. Bigdata:the next frontier for innovation, competition, andproductivity[R]. Las Vegas:The Mc Kinsey Global Institute, 2012.
[2] 谢振东, 吴金成, 李之明, 等. 企业大数据能力的构建与培育研究[J]. 广东工业大学学报, 2017, 34(3):110-114.XIE Z D, WU J C, LI Z M, et al. A study of construction and cultivation of big data capacity of enterprise[J]. Journal of Guangdong University of Technology, 2017, 34(3):110-114.
[3] 申琢. 基于云计算和大数据挖掘的矿山事故预警系统研究与设计[J]. 中国煤炭, 2017, 43(12):109-114.SHEN Z. Study on early warning system of coal mine accidents basedon cloud computing and big data crunching platform[J]. China Coal, 2017, 43(12):109-114.
[4] 黄小庆, 陈颉, 田世明, 等. 电动汽车充电站规划、运行中的大数据集成应用[J]. 电网技术, 2016, 40(3):762-767.HUANG X Q, CHEN J, TIAN S M, et al. Big data integration for optimal planning and operation of electric vehicle charging stations[J]. Power System Technology, 2016, 40(3):762-767.
[5] 杜汉昌, 丁磊, 冯永晋. 面向零售业的大数据商业智能系统研究[J]. 广东工业大学学报, 2014, 31(4):41-45.DU H C, DING L, FENG Y J. Research on business intelligence system with the big data for retail industry[J]. Journal of Guangdong University of Technology, 2014, 31(4):41-45.
[6] 肖润谋, 李彬, 陈荫三. 基于大数据的高速公路运输趋势分析[J]. 交通运输工程学报, 2015, 15(5):85-90.XIAO R M, LI B, CHEN Y S. Trend analysis of expressway transportation based on big data[J]. Journal of Traffic and Transportation Engineering, 2015, 15(5):85-90.
[7] 陆文驰. 论大数据时代下公路客运集团财务分析发展[J]. 财会学习, 2017,(11):21-22.LU W C. On the financial analysis development of highway transport group in the era of big data[J]. Accounting Learning, 2017,(11):21-22.
[8] 杨竞. 基于云理论的公路客运服务旅客满意度测评研究[D]. 西安:长安大学公路学院, 2015.
[9] 皮瑞麟. 数据可视化技术在客运信息监测系统中的研究与应用[D]. 广州:华南理工大学计算机科学与工程学院, 2016.
[10] 李辉, 李娜. 浅谈物联网技术在长途汽车客运管理中的应用[J]. 中国西部科技, 2015, 14(6):5-7.LI H, LI N. The application of internet of things technology in the management of long-distance bus transport[J]. Science and Technology of West China, 2015, 14(6):5-7.
[11] 王庆福. 贝叶斯网络在用户兴趣模型构建中的研究[J]. 无线互联科技, 2016,(12):101-102.WANG Q F. Research on user interest model construction based on bayes network[J]. Wireless Internet Technology, 2016,(12):101-102.
[12] 孟巍, 吴雪霞, 李静, 等. 基于大数据技术的电力用户画像[J]. 电信科学, 2017, 33(S1):15-20.MENG W, WU X X, LI J, et al. Power user portraits based on big data technology[J]. Telecommunications Science, 2017, 33(S1):15-20.
[13] 尚炜. 当前客运事故高发原因分析及对策建议[J]. 道路交通管理, 2006,(4):36-41.SHANG W. Analysis and suggestions of causes of frequent incidence of passenger traffic accidents[J]. Road Traffic Managemen, 2006,(4):36-41.
[14] 王光娟, 詹永照, 刘志强. 基于DM642的嵌入式疲劳驾驶监测系统的实现[J]. 计算机应用, 2007, 27(10):2612-2614.WANG G J, ZHAN Y Z, LIU Z Q. Implementation of embedded real-time driving fatiguemonitoring systembased on DM642[J]. Journal of Computer Applications, 2007, 27(10):2612-2614.
[15] 郭东峰, 李彦. 基于物联网的嵌入式酒驾自动检测系统设计[J]. 计算机测量与控制, 2013, 21(3):594-596.GUO D F, Li Y. Design of the embedded drunk driving automatic test system based on internet of things[J]. Computer Measurement & Control, 2013, 21(3):594-596.
[16] 刘兰芳. 大数据背景下道路运输运营管理数据挖掘研究与应用[D]. 长春:吉林大学交通学院, 2017.
[1] Liu Hong-wei, Liang Zhou-yang, Zuo Mei-hua, Lu Dan, Fan Meng-ting, He Rui-chao. Research on Identifying Brand Competition Relationships with Consumer Browsing Behavior [J]. Journal of Guangdong University of Technology, 2019, 36(05): 1-6,13.
[2] Huang Jian-wen, Zhu Xue-mei, Xu Ying, Xiong Lu, Zhang Wei-guo. A Quantitative Research on Spatial Morphology of Old Residential Neighborhoods in Lingnan Area Based on Multi-source Big Data [J]. Journal of Guangdong University of Technology, 2019, 36(04): 70-79.
[3] Bai Jie, Yao Jia-jing, Zhang Mao-jun, Li Qiao-xing. A Simple Search Algorithm on Conditionally Uncorrelated Volatility Models in Financial Big Data [J]. Journal of Guangdong University of Technology, 2018, 35(05): 26-30.
[4] Sun Wei-jun, Xie Sheng-li, Wang Gu-yin, Diao Jun-wu, Ruan Hang. Design and Implementation of Industrial Big Data Cloud Platform for Smart Factory [J]. Journal of Guangdong University of Technology, 2018, 35(03): 67-71.
[5] Rao Dong-ning, Wang Jun-xing, Wei lai, Wang Ya-li. Parallel Minimal Cut Set Algorithm and Its Application in Financial Social Networks [J]. Journal of Guangdong University of Technology, 2018, 35(02): 46-50.
[6] Xie Zhen-dong, Wu Jin-cheng, Li Zhi-ming, Wu Guan-hua. A Study of Construction and Cultivation of Big Data Capacity of Enterprise [J]. Journal of Guangdong University of Technology, 2017, 34(03): 110-114.
[7] Rao Dong-ning, Wen Yuan-li, Wei lai, Wang Ya-li. A Weighted Centrality Algorithm for Social Networks Based on Spark Platform in Different Cultural Environments [J]. Journal of Guangdong University of Technology, 2017, 34(03): 15-20.
[8] Liu Dong-ning, Lu Ming-jun, Huang Bao-ying, Liang Lu. Group Role Assignment and its Optimization with Preorder Constraints [J]. Journal of Guangdong University of Technology, 2017, 34(03): 21-29.
[9] Mao Li-na, Li Wei-hua. Research on using information flow and HowNet to build big data semantic sharing channel [J]. Journal of Guangdong University of Technology, 2017, 34(03): 30-35.
[10] Wu Jin-cheng, Xie Zhen-dong, Wu Guan-hua, Fang Qiu-shui, Yu Hong-ling. A Study of Traffic Status and Dynamic Control Based on IC Card Data [J]. Journal of Guangdong University of Technology, 2017, 34(03): 77-82.
[11] ZENG En-Shan, XIONG Rui, WU Jian, ZHOU Xin, ZHANG Zong-Lan. A Study of Rapid Aging of Automotive Catalyst on the Bench [J]. Journal of Guangdong University of Technology, 2016, 33(06): 49-52.
[12] LI Qiao-Xing, QIANG Bao-Hua, YANG Chun-Yan. The Storage Model of Big Data Basicelements in HBase Database and Its Realization [J]. Journal of Guangdong University of Technology, 2014, 31(3): 8-13.
[13] WANG Yong, XU Zhong-Tao, WANG Ying. Research and Implementation on Competitive Intelligence System Based on Big Data [J]. Journal of Guangdong University of Technology, 2014, 31(3): 27-31.
[14] LIU Hong-Wei, LIU Zhi-Hui, ZHU Hui, LU Tao. Privacy-preserving Algorithm for Cross-organizational Collaborative [J]. Journal of Guangdong University of Technology, 2014, 31(3): 21-26.
[15] DENG Li-Long, XU Hai-Shui. Research on Applied Models Based on Storm [J]. Journal of Guangdong University of Technology, 2014, 31(3): 114-118.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © 2017 Journal of Guangdong University of Technology
Add：729 East Dongfeng RD., Guangzhou PRC. Postcode: 510090
Tel：020-37626653,020-37626139,020-37626396
Email：xbzrb@gdut.edu.cn
Supported:Beijing Magtech