Study On Management And Quality Control Of Chinese Herbal Medicine Based On Artificial Intelligence And Big Data Technology

Chinese medicine processing is a kind of pharmaceutical technology which is used based on the theory of traditional Chinese medicine,according to the requirements of syndrome differentiation and medication,the characteristics of the drugs and the different pharmaceutical requirements of dispensing and preparations.Chinese medicinal materials are processed for Chinese herbal medicine.Chinese herbal pieces are the prescription drugs of traditional Chinese medicine,the raw materials of Chinese traditional medicine and Chinese medicine deep processing products,so the quality of Chinese herbal pieces directly affects the quality of downstream products.Processing quality is one of the important factors that affect the quality of Chinese herbal pieces.Effective control of processing quality will play a crucial role in the virtuous circle development of the whole Chinese medicine industry chain.The quality control of the processing is mainly aimed at two aspects,one is to standardize the processing technology,and the two is to strictly control the quality of the products.At present,for the process control,the state has strengthened the GMP management of Chinese herbal medicine enterprises,and requires that the Chinese herbal pieces must be processed according to the national drug standards or the regulations formulated by the local food and drug administration.However,the current situation of most Chinese herbal medicine enterprises is low quality of personnel and weak technical force.Due to deep-rooted production habits and lack of continuous supervision,some enterprises will return to the original habitual production even after passing GMP certification,resulting in the decline of the quality of Chinese herbal pieces.For quality testing,the traditional character test is still one of the main methods to control the quality of the pieces.However,the quality of Chinese herbal medicine has a great fluctuation due to the empirical judgment of the pharmacist and the lack of objective measure.Based on the above problems,this paper studies the production process management technology of Chinese herbal medicine production and the objective inspection methods for the Chinese herbal pieces,and constructs the quality control system of Chinese herbal pieces production,which can realize the information management of Chinese herbal medicine production and the intelligent detection function of Chinese herbal pieces.Based on the analysis and research of functional modules of traditional production execution system,we use Microsoft's.Net platform to build a manufacturing execution subsystem,which belongs to the processing of Chinese herbal pieces.The traditional three layer structure is used to build the Chinese herbal medicine manufacturing execution subsystem which was produced by C#programming language.We use Entity Framework(EF)framework and Microsoft SQL Server to build database access layer,use Model View Controller(MVC)framework to build the interface layer.And distributed access between interface layer and business logic layer is achieved through Windows Communication Foundation(WCF)technology.The Chinese herbal medicine production and execution subsystem mainly includes 5 functions:permission management,name specification,Chinese herbal medicine processing SOP process template,task list management and work area operation module.The characteristic of the system is to enforce the specific process of production in a fixed text,so that the processing must be completed according to the established process,avoiding the problem of the quality of Chinese herbal pieces caused by human random operation in production.In addition,different Chinese herbal medicine can personalize process according to different requirements.This subsystem uses information management technology to meticulous management of Chinese herbal medicine production.It gives a detailed description of every production step,requires detailed record of every step of production operation,and requires sampling inspection for every batch of intermediate products.It ensures the quality of processed products from standardizing the processing technology of Chinese herbal pieces.In addition to research on information technology,industrial automation technology,including programmable logic controller(PLC)and Kingview technology,has been studied as well.It made a technical supplement to the manufacturing executive subsystem from the point of view of mechanical control,and the overall plan for the management and control of Chinese herbal medicine production was designed.Industrial automation technology improves the automation needs of Chinese herbal pieces manufacturing execution subsystem from improving the processing equipment technology content,reducing labor costs,enhancing real-time monitoring capabilities and improving data collection efficiency.In this paper,we focus on the quality control of the processing of Chinese herbal pieces.Based on the theory of "Distinguish quality according to character",we make a pioneering study of computer vision technology,and establish a computer vision analysis subsystem of Chinese herbal pieces quality.The visual analysis module uses the open source OpenCV computer visual library and the.Net platform to process and analyze the image of the pieces.In this paper,the visual quality analysis of rhubarb was used as an example.Visual inspection is designed mainly through four steps.First of all,a preliminary screening of Chinese herbal medicine was carried out by the speckle detection method.Then the area of the pieces was calculated by the contour detection and the convex hull detection method,and the quality grade of the pieces was judged from the size of the slice.Then by the minimum encircling rectangle area and the convex defect detection method,the heteromorphic slices were identified.Finally,the classification of the surface color of the slices was made by using the watershed algorithm,the color histogram and the machine learning method.Through the above process,the computer vision analysis and detection of rhubarb slices were completed.The detection mode is suitable for most rhizome Chinese herbal pieces,and some methods can be transferred to the quality inspection of flower,leaf,fruit and seed Chinese herbal pieces.The computer vision analysis subsystem makes up for the lack of objectivity in the traditional character detection of Chinese herbal pieces,and strengthens the scientific attribute of the detection of Chinese herbal pieces.The computer vision analysis subsystem realizes the green,non-destructive,accurate and fast quality discrimination of Chinese herbal pieces,and provides a feasible plan for real-time online detection of Chinese herbal pieces.In addition,the business intelligence analysis technology has been studied in this paper,and the production decision support subsystem of Chinese herbal pieces enterprise has been constructed.The establishment of the production decision support subsystem of Chinese herbal medicine enterprise consists of three steps:data integration,data analysis and information visualization.This research module is built by pentaho business intelligence platform.The platform uses Kettle technology to integrate and clean data of each business system to form a data warehouse.And the Saiku tool combined with online analysis technology to achieve data drilling,rotation,slicing,cutting operation,to complete the data analysis.In the end,the key data of enterprise operation are displayed by chart tool to realize the visualization of the data.BI analysis technology applied to Chinese herbal medicine enterprise,the aim is to use the automatic update of data and visual data display technology,provide quick and intuitive information for enterprise management personnel,including product quality and operating risks,so that managers can accurately understand the enterprise operation condition,and promptly adjust the production and operation plan according to the objective data.Besides,this study considers the future development of big data technology needs,combined with the use of Hadoop technology,so that the traditional BI analysis technology has the ability of big data analysis.Through the large data technology,this study analyses the network sales data of Chinese herbal medicine.The quality and market demand of Chinese herbal medicine were predicted.The analysis results were used to assist the enterprise manager to trace the quality of the production,and to adjust the arrangement of production planning.The production decision support module of Chinese Herbal Pieces enterprises use artificial intelligence and big data technology to analyze and display the operation of enterprises,and assist managers to make production and operation decisions.This module uses intelligent technology to improve the management level of Chinese herbal medicine enterprises.Through this research,we have constructed a quality management and control system of Chinese herbal pieces,which is made up of the manufacturing executive subsystem,the computer vision analysis subsystem,and the production decision support subsystem.The core of this quality management and control system of Chinese herbal medicine production is to ensure and improve the quality of Chinese herbal medicine.The system uses advanced artificial intelligence and large data related technology to standardize the production of Chinese herbal medicine,and improve the quality testing level of Chinese herbal medicine.This research provides technical support for comprehensively improving the quality of Chinese herbal pieces,improving the production efficiency and enhancing the market competitiveness of enterprises,and it lays the foundation for the next step of the industry promotion.