Design And Implementation Of Internet Of Things Data Measurement And Control System Based On Kafka And Time Series Database

Although the modern fresh air system can meet the needs of users of air purification,the control of the fresh air system is mainly based on independent switch buttons or independent screen control.This is far from the user's requirements for remote control and free control,and the user can't intuitively recognize and understand the operating indicators and purification data of the fresh air system.The rapid development of intelligence and the Internet of Things has provided new technical support for "smart homes" and "smart campuses",and also provided new development directions for the new wind system.Based on the actual needs,this paper takes the background of creating "smart classroom clean classrooms" as the background.It mainly focuses on the lack of human-computer interaction and remote measurement and control mechanisms in the traditional fresh air system.With the help of the Internet of things,mobile Internet,and big data technology,this paper designs and implements the Internet of things data measurement and control system based on Kafka and sequential database.First of all,the protocol documents of the fresh air equipment and the interface documents of the air monitoring sensor are analyzed in-depth,and the functional requirements of the data management,equipment management,equipment control,and other modules of the equipment are analyzed.Secondly,Netty is used to build TCP connections for massive fan equipment,and provide a complete set of protocol analysis,session management,and timeout retransmission mechanisms to achieve the physical access of the device to the platform and provide underlying support for device control.Third,based on the data interface of the air monitoring sensor,a data transfer process from terminal data collection to Kafka and then to a time-series database is designed to achieve data peak clipping,current limiting,low-cost storage,and efficient querying.Finally,implement convenient device management functions for the IoT devices connected to the system,provide instructions for user management devices,allow users to remotely control the operation of the fresh air system,and view classroom air data.It not only meets the needs of users' remote measurement and control,greatly improves the user's operation efficiency and convenience,but also facilitates the control of classroom air quality by schools and higher education departments,and provides the basis and support for decision-making by schools and education bureaus.