基于工业物联网的中药生产过程监控及优化研究

发布时间：2018-03-26 17:48

  本文选题：中药　切入点：物联网　出处：《河北工业大学》2014年硕士论文

【摘要】：随着我国经济的持续快速发展和人们生活水平的提高，产品质量问题越来越受到公众的关注，因此，中药生产企业越来越重视对产品生产过程的监控。物联网技术作为一种新兴技术，在工业上已经开始应用，主要集中在制造业供应链管理、产品生产过程监控、能源管理和生产安全等。中药生产过程监控应用物联网技术，为实现生产过程中产品信息的跟踪和追溯提供了基础平台，为提高中药产品质量、规范企业管理方式、增强企业信息化水平有重大作用。 本文所研究的中药生产过程监控系统正是基于工业物联网提出来的，将中药生产的提取、浓缩、醇沉等工艺流程以及其他操作环节与工业物联网技术相结合，分别从感知控制层、数据传输层、数据存储层、应用决策层四个方面对中药生产过程监控系统进行了详细的设计。并对其中应用到的数据采集、工业以太网和数据库知识进行了分析，将整个中药生产过程监控起来，建立一个从自动化级到管理级的同一信息流，提高整个企业的效率和竞争力。 在监控系统设计开发中，针对感知控制层中料液浓度无法直接通过现有传感器检测问题，提出了一种基于最小二乘支持向量机的软测量预测模型优化方案，，根据可检测的辅助变量推导出主变量，可准确估算当前料液浓度情况。针对管理层对车间生产信息存在的信息孤岛问题，提出了将中药生产执行系统对应用决策层的优化方案，实现对企业生产过程全方位的监控管理，对系统的功能模块进行详细的设计并通过编程实现。随着纵向数据集成成为可能，管理层将非常容易获得底层实时数据，有了这些信息，管理级将更容易做出迅速、明智的决策。
[Abstract]:With the sustained and rapid development of our economy and the improvement of people's living standard, the problem of product quality has been paid more and more attention to by the public. As a new technology, Internet of things (IOT) technology has been applied in industry, mainly in the supply chain management of manufacturing industry and the monitoring of product production process. Energy management and production safety, etc. The application of the Internet of things technology in the process of traditional Chinese medicine production monitoring provides a basic platform for the tracking and tracing of product information in the production process, for improving the quality of traditional Chinese medicine products and for standardizing the management of enterprises. Enhancing the level of enterprise information has a major role. The traditional Chinese medicine production process monitoring system studied in this paper is based on the industrial Internet of things, which combines the extraction, concentration, alcohol precipitation and other operating links of traditional Chinese medicine production with the industrial Internet of things technology. The monitoring system of traditional Chinese medicine production process is designed in detail from four aspects: perceptual control layer, data transmission layer, data storage layer and decision layer. The knowledge of industrial Ethernet and database is analyzed, the whole production process of traditional Chinese medicine is monitored and a same information flow from automation level to management level is established, so as to improve the efficiency and competitiveness of the whole enterprise. In the design and development of monitoring system, a soft sensor prediction model optimization scheme based on least square support vector machine (LS-SVM) is proposed to solve the problem that the concentration of material in the perceptual control layer can not be detected directly through the existing sensors. The main variable can be deduced according to the detectable auxiliary variable, and the current concentration of feed liquid can be accurately estimated. Aiming at the problem of information isolated island existing in the production information of workshop by management, the optimization scheme of applying decision level to the execution system of traditional Chinese medicine production is put forward. Realize the omni-directional monitoring and management of the production process of the enterprise, design the function module of the system in detail and realize it by programming. With the possibility of vertical data integration, the management will easily obtain the real-time data of the bottom layer. With this information, it will be easier to make quick and informed decisions at the management level.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP277;TP391.44;TN929.5

【参考文献】

中国期刊全文数据库 前10条

1 许道林;;基于工业以太网的现场总线PROFINET[J];电工技术;2009年11期

2 邓乐毅;电厂生产过程监控系统设计[J];电力建设;2005年07期

3 叶彤,吴钦章,蒋平;实时数据库的应用研究[J];光电工程;2004年06期

4 王群,蒋洪;制药企业微机监控系统的设计与实现[J];工业控制计算机;2001年07期

5 张晓杰;刘海昌;;基于WinCC的数据采集和监控系统设计[J];工业仪表与自动化装置;2007年04期

6 车春鹂;高汝熹;;工业物联网产业——战略性新兴产业的突破点[J];城市;2012年08期

7 张鹏;;基于B/S模式的远程实时监控系统的实现[J];华北水利水电学院学报;2006年03期

8 王荃,金海东,李福中;工控组态软件实时数据库系统的设计与实现[J];化工自动化及仪表;2000年03期

9 邵义元;基于数据集成的智能决策支持技术应用于工业过程建模与优化[J];九江师专学报;2002年06期

10 白冰;潘真;朱宇;靳继红;;基于PLC现场数据采集与分析[J];科技情报开发与经济;2007年21期

中国博士学位论文全文数据库 前2条

1 刘颖;我国中药产业竞争力评价体系研究[D];华北电力大学（北京）;2011年

2 程跃;中药制药过程控制及集成化生产若干关键问题研究[D];西南交通大学;2010年

本文编号：1668906