摘要
以经典教学项目水的总硬度测定实验为切入点,创新性地构建基于ASP(Application Service Provider)服务架构与Access数据库的动态数据处理平台。该平台通过在线计算模块、实时数据协同和可视化分析系统3大核心功能,实现了实验数据的智能化处理、全过程可追溯管理。教学实践表明,该技术方案不仅使传统EDTA滴定法的数据处理效率提升,还提升了异常数据的溯源分析能力,为分析化学实验教学的数字化转型提供了可复制的技术范式。
This study takes the classic teaching project"total hardness determination of water"as the starting point and innovatively constructs a dynamic data processing platform based on ASP(Application Service Provider)service architecture and Access database.The platform achieves intelligent processing of experimental data,full process traceability management,and multi-dimensional error analysis through three core functions:online computing module,realtime data collaboration,and visualization analysis system.Teaching practice has shown that this technical solution not only improves the data processing efficiency of traditional EDTA titration method by more than 60%,but also enhances the ability to trace and analyze abnormal data,providing a replicable technical paradigm for the digital transformation of analytical chemistry experimental teaching.
作者
邓文芳
陈超
秦聪
杨盛
方正法
马铭
谭亮
DENG Wen-Fang;CHEN Chao;QIN Cong;YANG Sheng;FANG Zheng-Fa;MA Ming;TAN Liang(College of Chemistry and Chemical Engineering,Hunan Normal University,Changsha 410081,China;SiQi School Attached to Hunan Normal University,Changsha 410083,China)
出处
《化学教育(中英文)》
北大核心
2025年第24期32-36,共5页
Chinese Journal of Chemical Education
基金
湖南省学位与研究生教学改革研究项目2025JGYB161(湘教通[2025]168号)
晓庄学院人工智慧课程。
关键词
硬度测定
智能管理
实验教学
数据处理
hardness determination
intelligent management
experimental teaching
data processing
