Aquaculture Remote Monitoring System Based On Internet Of Things And Mobile Terminal

With the improvement of living standards of residents and the upgrading of consumption,the demand for aquatic products has increased.The aquaculture market is huge and has a good market prospect.However,most of our country's aquaculture management is extensive,and it lags behind other advanced countries in the monitoring of water quality and environment,resulting in low efficiency of aquaculture producting.In order to increase the benefits of aquaculture,aquaculture needs to move toward the direction of high-density farming and information management.By monitoring the quality of aquaculture,we create an environment that is stable and suitable for the growth of specific aquatic products.Therefore,in this paper,taking aquaculture water quality environment as the research object,a remote monitoring system for aquaculture based on internet of things and mobile terminals is designed to achieve real-time monitoring of aquaculture water quality,water quality prediction and remote control,and it helps us improve aquaculture efficiency.This article uses ZigBee wireless communication technology,GPRS wireless communication technology,Android development technology and a third-party cloud platform to design a remote monitoring system for aquaculture.This system is based on Internet of things and mobile terminals.The system architecture includes four parts:monitoring node,convergence node,OneNET cloud platform and Android mobile terminal.The system architecture includes four parts: monitoring node,convergence node,OneNET cloud platform and Android mobile terminal.The monitoring node uses the STC90C58 AD as the main control chip to control the temperature sensor module,pH sensor module,oxygen sensor module and 3 relay modules to realize the collection and adjustment of temperature,pH value and oxygen content of aquaculture.Through ZigBee wireless,local area network communicate with sink node.The STM32 is used as the main control chip by the integrate node,realizing real-time data of aquaculture,predicting data on-site display and alarm reminding,and interacting with the OneNET cloud platform through GPRS.The third-party cloud platformOneNET completes the storage of real-time data,forecast data,and control instructions for aquaculture,and at the same time realizes mutual transmission of aquaculture information and Android mobile terminals.Using the Eclipse development platform to design the Android mobile terminal software to complete the information exchange between the Android client and the OneNET cloud platform,and realize the remote real-time data viewing and be controlled by the Android mobile phone.The BP neural network algorithm was used to build a prediction model of pH and oxygen content.Through MATLAB simulation experiments,the network performance was verified,and the pH value and oxygen content of aquiculture can be predicted in advance.Compared with traditional methods,this system is more convenient to monitor the parameters of multiple aquaculture ponds.It also has a certain statistical analysis capabilities and high degree of automation.It can create a stable and suitable living environment for aquaculture and improve the economic benefits of aquaculture.