Research And Application On Integrated Information System Of Railway Statistics Under Big Data Driving

After more than 30 years of China railway informationization construction, railway information system fully covered all aspects of the railway transportation and business management. The volume ofrailway system data increases sharply, accumulated the massive structured, semi-structured, and unstructured data.Railway data is not only huge, and also has various types. At the same time,railway data has the characteristics of rapid flow and low density value. The railway data has 4 v characteristics of big data.Into the era of big data, railways statistical work ushers in the new challenges.Such as:how to carry out data collection, how to ensure data quality, how to make data fusion, how to carry out statistical analysis of large data, how to improve the timeliness and accuracy of the statistics, how to make data visualization display, how to improve the level of decision support and so on. A series of problems lie ahead. It is not hard to find that all issues surrounding data, data becomes the core of statistics.Under the background of big data, many traditional statistical thoughts need to test and review. This study is from the annual science and technology key project of railway corporation science and technology information management department. The project’s name is "The research of railway transportation statistics integrated information system and the key technology". On the basis of summarizing the related literature at home and abroad, research the present situation of the railway statistic informationization. Through demand analysis, this study takesdata as the core, and strives to build data collection, data processing, data analysis, and data presentation, to become the integration of "railway data value chain".First of all, on the basis of business, data and decision of railway statistic survey, respectively reveals China’s railway construction situation, the business system data statistics system present situation and application status of statistical target system.Under the background of big data, railway statistics encountered by the data of all sorts of the bottleneck, so form the research question.Then, by analyzing the problems using cause and effect figure method, put forward the great railway data-driven statistics data as the core of the new requirements. Combinebig data industry chain and process reengineering theory, the paper puts forward a new statistical production process. Using the Five View method and technique of big data,the paper proposes a brand new design forthe railway statistic information system.From the system and structure level, the railway statistic information system planning, according to the processing layer, integration layer, layer and show the general classification analysis.Finally, make prototype system authentication.Based on railway statistic information system design, selection of representative data correction, theme analysis and integrated application of functions implemented in the prototype system, the research results can effectively support leadership decision-making, thus the design is verified by platform advantage.