基于实时同步和全文搜索技术的方剂学多维实训平台  

Multidimensional training platform formulation based on real⁃time synchronization and full⁃text search technology

作　　者：魏培阳 史晓雨[3] 周杰三[2] 邢晓方 梁佳豪 刘洋 WEI Peiyang;SHI Xiaoyu;ZHOU Jiesan;XING Xiaofang;LIANG Jiahao;LIU Yang(School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Software Engineering,Chengdu University of Information Technology,Chengdu 610225,China;Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 400714,China;Automatic Software Generation&Intelligence Service Key Laboratory of Sichuan Province,Chengdu 610225,China;Gaomiao Primary School in Huojia County,Xinxiang 453800,China)

机构地区：[1]重庆邮电大学计算机科学与技术学院,重庆400065 [2]成都信息工程大学软件工程学院,四川成都610225 [3]中国科学院重庆绿色智能技术研究院,重庆400714 [4]软件自动生成与智能服务四川省重点实验室,四川成都610225 [5]获嘉县史庄镇高庙小学,河南新乡453800

出　　处：《现代电子技术》2024年第2期67-73,共7页Modern Electronics Technique

基　　金：国家重点研发计划项目(2022YFB3305100);教育部产学合作协同育人项目(202102638010);四川省大学生创新创业训练计划项目(S202210621090);成都信息工程大学青年创新(拔尖)项目(KYQN202222);成都信息工程大学校级教改重点项目(JYJG2022090)。

摘　　要：针对中医方剂学存在的数据量大、类型多样、学习识记困难等问题,提出一种改进的基于实时同步和全文搜索算法的方剂学多维实训平台(MTPF)。分析MTPF系统需求并搭建基础框架,采用Canal同步数据和ElasticSearch提供全文搜索服务,以保证业务应用的效率和性能;结合MTPF业务领域问题,提出针对具体业务的可配置和过滤的同步算法,构建面向搜索的自定义分词词典优化算法。通过系统应用及对比实验,验证了改进算法能够满足MTPF的需求;通过与其他框架的对比实验,证明了改进算法在同步时延、资源消耗、搜索速度等方面均取得了良好的效果,保障了业务数据信息在传输、存储、同步、搜索等环节的性能。In allusion to the problems of large amount of data,diverse types and difficulty in learning and memorization of traditional formulation,an improved multi‐dimensional training platform for formulation(MTPF)based on real‐time synchronization and full‐text search algorithm is proposed.The MTPF system requirements are analyzed and a basic framework is built,Canal is used to synchronize data and ElasticSearch is used to provide full‐text search services,so as to ensure the efficiency and performance of business applications.In combination with the MTPF business domain,the configuration and filtering synchronization algorithm for specific business is proposed,and the custom word segmentation dictionary optimization algorithm for search is proposed.By means of the system application and comparison experiments,it is verified that the system can meet the requirements of MTPF.By means of the comparative experiments with other frameworks,it proves that the improved algorithm can realize good results in synchronization delay,resource consumption,search speed,etc.,ensuring the performance of business data information in transmission,storage,synchronization,search,and other aspects.

关 键 词：方剂学多维实训平台 实时同步 全文搜索 ElasticSearch CANAL REDIS MySQL 

分 类 号：TN911.2‐34[电子电信—通信与信息系统] TP391.3[电子电信—信息与通信工程]