| With the continuous development of vegetable planting and aquaculture,more and more agricultural producers choose the aquaponics by combining hydroponics cultivation and aquaculture.However,the management process of aquaponics is complicated,and the environmental parameters need to be monitored and adjusted to maintain the stability of the aquaponics ecosystem.In this context,the introduction of the Internet of things,Internet and mobile network to automatically monitor and regulate environmental parameters and make the fish and vegetables grow in the most suitable environment is of great significance to improve the quality and yield of vegetable cultivation and aquaculture.Therefore,on the basis of summarizing the research status at home and abroad,this paper designs an intelligent measurement and control system for water quality environment of aquaponics,aiming at the problems such as low degree of automation and complex management of aquaponics.1.By reading a large number of literatures related to the measurement and control system of aquaponics and real-time investigation,this paper analyzes the user demand,the growing environment demand of aquaponics,the functional demand and the non-functional demand of the system,and gives the overall scheme design of the system.2.In this paper,the hardware design of the intelligent measurement and control system for water quality environment of aquaponics is carried out by using the hierarchical design.Water quality sensor for environmental perception,stc-102 control terminal for equipment control,RS485 serial port for data transmission,4G network module and industrial tablet computer for man-machine interaction are selected respectively to complete the basic hardware composition of the system.3.The data of aquaponics test were analyzed and processed,and a DNNR prediction model of dissolved oxygen in water quality of aquaponics based on TensorFlow framework was established,which could accurately predict the dissolved oxygen data of the water of aquaponics in next half-hour.4.The software design part was divided into the design of server security transmission,the design of software function and the design of database through the C/S architecture model of the software.The module of server security transmission uses the remote measurement and control software and the field measurement and control software respectively as the client side and server side of the C/S model,takes the port number and IP address of both sides as the nodes at both ends,and realizes data interaction based on the connection-oriented TCP communication model.Designed the software function detailed from several main functional modules of the field measurement and control software and remote measurement and control software.MySQL was selected as the database of the system to complete the design of the E-R diagram,data table and data access interface.5.On the basis of completing the construction of prediction model and the design of software and hardware,the field measurement and control software and remote PC client software based on SSM framework were developed with the Java language to complete the collection,upload of the data of the aquaponics environment and intelligent or remote control.After testing,the intelligent measurement and control system of aquaponics based on the Internet of things operates stably and reliably,has high real-time and accurate monitoring of the environmental parameters,and has real-time and stable parameter regulation,meeting the expected goal,which proves that the work done in this paper is practical and effective.The research on the intelligent measurement and control system for water quality environment of aquaponics based on the Internet of things is conducive to improving the timeliness and accuracy of information collection and the security and reliability of information transmission in modern agriculture.It has important research significance and promotion value for promoting the development of agricultural automation and intelligence. |
