Design And Implementation Of Intelligent Analysis Platform For Urban Economic Statistics

In recent years,China ’s economy has continued to develop rapidly,and economic decisions have played a vital role in the development of a city or even a country.With the advent of the era of massive data,critical economic information is stored and disseminated in a databased form,reasonably The use of data analysis technology can simplify the steps of information extraction,promote a comprehensive understanding of the current economic structure,improve the accuracy of forecasting economic development trends,and make good economic decisions.Due to the diversification of economic development and the continuous generation of massive data,the current economic analysis platforms are facing the following three challenges: the data volume is growing too fast,and the Internet is flooded with a lot of useless or false data,which has greatly affected work Efficiency and quality of life;user’s consumer demand and data analysis technology have a closed-loop relationship that promotes each other.More complex and changeable consumer demands increase the functional requirements of analysis technology and platform;there is an increasingly complex relationship between data,errors The analysis results may be misleading and even cause huge economic losses.At present,the country is undergoing in-depth adjustment of the economic structure,supplyside structural reforms,and urban economic statistical surveys conducted in the context of big data can provide comprehensive information support for the reforms,thereby ensuring that cities quickly adapt to economic development due to reform New changes.Therefore,according to the current domestic economic situation and the challenges faced by the existing economic analysis platforms,how to make reasonable use of data analysis and related technologies to provide a comprehensive information management,research and judgment platform is a crucial issue.In view of the above,this paper designs and develops an intelligent analysis platform for urban economic data based on a full investigation of the project needs of an economic research institute.The platform uses the Spring framework,and uses web crawler technology to collect news,uses Open CV and Tesseract-OCR technology to identify pictures,and extracts specific data of economic indicators from the pictures.The main work of this paper is: requirements analysis,analysis and classification of user roles involved in the platform,detailed description of the platform’s key processes,use case diagrams and data flow diagrams to model the system,and explain the interaction between administrators,ordinary users and the platform Process,combined with the platform’s specific usage scenario analysis of non-functional requirements;design and implementation,the system is divided into three major modules of news collection,data collection and information management,using flowcharts,class diagrams,timing diagrams to three The design and implementation of each module are described in detail,using Web Magic technology to extract economic news from the website,Jieba word segmentation technology to segment the news,combining the position of words in the text,extracting paper keywords,filtering and filtering economic news,Recommend customized news for users based on their browsing history.Use Open CV to pre-process the pictures,combine Tesseract-OCR technology to extract specific data of economic indicators from the pictures;system test,after completing the specific design and coding implementation,write test cases according to functional and non-functional requirements,and in the actual environment Test to ensure the functional integrity of the platform while meeting non-functional requirements.The platform runs in a production environment after passing the test.From the results of the operation,the intelligent analysis platform for urban economic data has achieved the expected results,greatly saving the time of data collection and analysis by economic research staff,and customized recommendations for users.Economic news,assisting economic research staff to make correct economic decisions.