Research On Decision Support System Of Statistics For Port Cargo Transportation Based On Big Data

Port enterprises,as the main distributing center of goods trade,play an important role in the world logistics.In the port enterprises,data collation and presentation mainly by the statistical system to complete.With the advent of the era of large data,statistical systems of port enterprises face new challenges:the former statistical system is only after the data is collated and collected,the data processing and transformation,and then generate the required reports,the process is more complex,management Layer in a short time can not view summary data.In addition,the system only by dealing with internal data and comparative analysis,comprehensiveness can not be guaranteed.Therefore,it is necessary to establish a comprehensive,real-time,and effective port statistical system.With the arrival of the big data era,the port enterprise to the statistical system can achieve higher and higher functional requirements,the system will face more and more problems:how to obtain complex data information;how to more intuitive and clear view Data;how the internal data based on the combination of external data analysis port throughput changes.In order to solve the above problems,the statistical system can be used as a supporting role for enterprises to provide valuable information to enable enterprises to compete in the same industry to get the most benefits,this paper presents a distributed platform,web crawler technology-based freight statistical decision-making Support System Research.Firstly,it introduces the system function and application of Guangzhou Port Group,and then introduces the current problems of port enterprise statistics and the status of the application of large data statistics to determine the impact of the throughput of indicators,and then the data collection and processing,Statistical system to optimize the design.According to different impact indicators,the throughput of each index can be calculated and inquired according to the underlying data.At the same time,the throughput impact index is analyzed and the throughput is predicted.The purpose of this paper is to systematically study the freight statistics of port enterprises in large data environment,and to analyze the internal and external factors that affect the throughput,so that the port data can be more accurate and more efficient based on the large data theory.At the same time for port enterprises to develop appropriate strategies to provide a good basis.Finally,the paper summarizes the whole paper and the research prospect.