Research On Temperature And Humidity Monitoring And Data Processing In Cigarette Factory's Alcoholization And Roll-packing Process

The main catalytic factor for tobacco alcoholization is the enzyme.The tobacco alcoholizing storage has small heating load and large humidity load,which affect the alcoholization process directly.In order to improve the quality of tobacco leaves during the production process,it is necessary to control the temperature and humidity.The air conditioning system is used to control the temperature and humidity.In order to save energy and improve the robustness of the temperature and humidity control system,it is necessary to accurately monitor the temperature and humidity of the production environment and optimize the temperature and humidity parameters which involved in the control.Aiming at these problems,the research is supported by the National Natural Science Foundation of China and the project of development and application of temperature and humidity monitoring system for wireless sensor network of industrial air conditioning in Qianjiang cigarette factory.The main research work and contributions are as follows:According to the technical project requirements of the temperature and humidity monitoring system of the wireless sensor network in Qianjiang cigarette factory,based on CFD and clustering algorithm model,we carried on the research of the wireless sensor network node deployment and networking.This paper mainly completes the design and implementation of temperature and humidity data monitoring system,makes in-depth research on data optimization,and provides temperature and humidity data support for air conditioning control system.According to the actual demand of temperature and humidity collection system in Qianjiang cigarette factory,from the perspective of improving the quality of data,we design the data quality evaluation indicators.The Dickson criterion is used to eliminate the gross errors in a single data instance.The data quality is evaluated from the correctness dimension,the integrity dimension,the data volume dimension,and the time dimension.The context of anomaly detection mechanism is designed to eliminate the fault data in multiple data instances by the similarity criterion between neighbor nodes in the region.In order to solve the problem of computational surge caused by too many nodes,we design the normal nodes judging extension rules.Finally,we use the data model to judge the standard temperature and humidity data to provide data support for temperature and humidity air conditioning control system.We use the Java language and MySQL database to complete the research of temperature and humidity monitoring system in production of cigarette factory.We use C/S software architecture,MVC software design mode to reduce the coupling of business logic and improve code reusability and maintainability.Dual Master combined with cascading replication are used to solve the problem of high availability under abnormal database.Using transaction-oriented simple connectionless UDP communication protocol to provide fast and efficient communication.The system has set up a database intelligent management and log system,which has the functions of data collection,monitoring,warning,processing,control and so on.It can eliminate the gross error,detect abnormal errors,and effectively improve the quality of data.Through the actual operation of the production site for more than 2 months,the system is stable and the temperature and humidity data is normal.Compared with the original data of temperature and humidity,the temperature and humidity data collected by this system is more effective and representative.Through a period of practical operation,the temperature and humidity data detected by the system will be directly connected to the control system.