Visualization Of Planting Of Bulk Chinese Traditionally Medicinal Crops Under Big Data

China is a richful resource country with natural medical plants,eapecially has great trade in traditional chinese medicine in the world.The development and effective use of Chinese medicinal materials has a history of thousands of years in China.It is the main weapon for people to prevent and cure diseases.It plays an important role in safeguarding people 's health and national reproduction.The Chinese herbal medicine industry has become an important pillar of the national economy one.The cultivation of Chinese medicinal materials not only affects its quality,but also affects the normal development of the entire industry.As the forefront of the Chinese herbal medicine industry,planting needs to collect more relevant information.Even with the development and widespread application of network technology,there is a lot of information on the Chinese herbal medicine industry on the Internet.It is difficult to sort or classify the many sources of information,data,and collection;Even statistical data,each system is independent of each other,forming a "data island",can not achieve data sharing.? Based on the above problems,this article uses Scrapy reptile technology to collect and sort out the data related to the cultivation of 40 categories of Chinese herbal medicines in China.There are multi-source heterogeneous data,such as planting year,region,area,yield,transaction price,were collected.Through the data interaction,using Django Web network development framework,designed and implemented a B / S framework-based bulk Chinese herbal medicine planting visualization system.Using this system to conduct a lot of regular analysis,realized the rapid search for the laws behind these big data and to serve the Chinese herbal medicine planting industry.The main research contents of this thesis include:(1)Analysis of system functional requirements.The functional requirements of the system were analyzed,and the five major functional requirements of the system were determined: data collection requirements,data processing requirements,data storage requirements,data visualization requirements,and system management requirements,and each functional requirement was analyzed and elaborated in detail.(2)Data resource collection of bulk Chinese medicinal materials planted in the past 10 years on geographical distribution,planting area,yield,transaction price.Using Scrapy web crawler technology and framework,we designed a targeted web crawler for Chinese herbal medicine information websites,such as zyctd.com,kmzyw.com,zycpzs.mofcom.gov.cn,stats.gov.cn,to achieve the capture of relevant data resources.(3)ETL processing of data resources required by the functional system.According to the needs of data visualization and the characteristics of different data sets,through the extraction,cleaning,conversion,rule checking,loading and other processing of multi-source heterogeneous data,a MySQL database design based on Python was established to provide a visualization system for this study Data resources.(4)Visual system design and function display analysis.Using the Django Web network development framework and the ECharts visualization tool,we designed and implemented a multi-dimensional visualization system based on the geographical distribution,planting area,output,transaction price and other dimensions of the 40 large-scale Chinese herbal medicines based on the B / S framework in the past 10 years.This visualization system analyzes the distribution of 40 large-scale Chinese herbal medicines in the country.Taking Coptis chinensis as an example,it analyzes the distribution of Coptis chinensis in the country.The planting area,output,and transaction price have changed year by year in the past 10 years.The correlation between output and transaction price.