大米拉曼光谱表征与统计识别的实验设计与实证分析  

Experimental design and empirical analysis of Raman spectroscopy characterization and statistical identification of rice

作　　者：张正勇[1] 查若璿 杨钰 沙敏[1] Zhang Zhengyong;Zha Ruoxuan;Yang Yu;Sha Min(School of Management Science and Engineering,Nanjing University of Finance and Economics,Nanjing,Jiangsu 210023)

机构地区：[1]南京财经大学管理科学与工程学院,江苏南京210023

出　　处：《粮食科技与经济》2024年第5期65-69,共5页Food Science And Technology And Economy

基　　金：南京财经大学教学改革项目(JGY202270,JGZ2023003,JGY2023081);南京财经大学《仪器分析概论》产教融合一流课程建设项目(南财教字〔2023〕88号);江苏省高等教育学会高校实验室研究委员会项目(GS2022BZZ19);江苏高校“青蓝工程”优秀青年骨干教师项目(苏教师函〔2021〕11号)。

摘　　要：针对质量管理工程专业当代高水平人才培养的现实需求,结合南京财经大学“粮食特色”发展战略,开展“质量快检实验”课程实验教学项目设计与实证探索。实验以地理标志大米的产地判别为例,依次进行了样品拉曼光谱数据采集与表征分析、统计质量控制、基于卷积神经网络的识别及特征分析等,具有数据采集速度快、判别运算效率高、结果可视化展示等优势。实验项目满足“金课”标准“高阶性、创新性、挑战度”要求,综合锻炼了学生的文献调研与分析能力、质量特性快检数据采集与领域知识剖析能力,质量控制图绘制与解析能力,智能识别算法构造与编程实现能力,实验报告撰写与小组配合能力等,积极响应了新时代数字化、智能化背景下质量管理工程复合应用型人才的培养要求。In response to the practical needs of cultivating contemporary high-level talents in the field of quality management engineering,and in combination with school's development strategy of grain characteristics,carry out the design and empirical exploration of the experimental teaching project for the"quality rapid inspection experiment"course.Taking the identification of geographical indication rice as an example,the experiment sequentially conducted sample Raman spectroscopy data collection and characterization analysis,statistical quality control,recognition and feature analysis based on convolutional neural networks,etc.It has advantages such as fast data collection speed,high discrimination operation efficiency,and visual display of results.The experimental project meets the requirements of the course standards of advanced,innovative and challenging,comprehensively exercising the students'abilities in literature research and analysis,quality characteristic rapid inspection data collection and domain knowledge analysis,quality control chart drawing and analysis,intelligent recognition algorithm construction and programming implementation,experimental report writing and group cooperation,etc.It actively responds to the training requirements of composite applied talents in quality management engineering under the background of digitalization and intelligence in the new era.

关 键 词：实验教学 质量快检 大米质控 统计识别 案例分析 

分 类 号：G642.0[文化科学—高等教育学] TU201.2[文化科学—教育学]