【作者】 王娟；

【导师】 蔡海滨；

【作者基本信息】 华东师范大学 ， 工程硕士（专业学位）， 2022， 硕士

【摘要】 我国资源及矿产品如铁矿、铜矿、煤炭和原油等进口量很大,但进口资源矿产以次充好、掺假作假等欺诈问题时常发生,本文结合多种算法对资源及典型矿产品的智能产地进行综合智能判别,利用Springboot实现资源及矿产品智能追溯系统,为资源、宝玉石类矿产品进口质量的监控提供辅助作用。首先,针对获取的业务原始数据进行预处理,通过缺失值填充、异常值检测、数据变换等手段进行数据清洗,最终得到系统需要的数据格式及类型;其次利用多种判别算法建立矿产品的智能产地溯源综合分析模型,对数据进行随机拆分进行模型训练和模型测试,通过调优模型的参数,使得追溯模型达到预期结果;再者对矿产品智能追溯系统进行需求分析、主要架构研究设计、系统详设、系统功能设计及数据库详细设计等,利用多种算法对10种典型矿产品的类别、产地溯源建立综合识别体系,开发并形成一套集追溯、统计、分析、判定、预警功能于一体的实时数据分析矿产品追溯系统;最后,完成系统测试规划,并且针对各功能模块编写测试用例,完成系统的功能测试、性能测试,结果显示系统各功能正常。更多还原

【Abstract】 The import of resources and mineral products in China,such as iron ore,copper mine,coal and crude oil,is very large,but fraud problems such as shoddy imported resource minerals and adulteration often occur.This paper combines a variety of algorithms to conduct comprehensive intelligent discrimination on the intelligent origin of resources and typical mineral products,and uses Springboot to realize the intelligent traceability system of resources and mineral products,providing an auxiliary role for the monitoring of the import quality of resources and gem mineral products.First,the original business data is preprocessed,clean the data through missing value filling,outlier detection,data transformation and other means,and finally obtain the data format and type required by the system;Secondly,the intelligent provenance traceability comprehensive analysis model of mineral products is established by using a variety of discrimination algorithms,and the data is randomly split for model training and model testing.By optimizing the parameters of the model,the traceability model achieves the expected results;Furthermore,the demand analysis,main architecture research and design,detailed system design,system function design and detailed database design of the mineral product intelligent traceability system are carried out.A comprehensive identification system is established for the category and origin traceability of 10 typical mineral products by using multiple algorithms,and a real-time data analysis mineral product traceability system integrating traceability,statistics,analysis,judgment and early warning functions is developed and formed;Finally,complete the system test planning,and write test cases for each functional module,complete the functional test and performance test of the system,and the results show that all functions of the system are normal.更多还原