| With the continuous development of society and the improvement of people’s living standards,people are no longer satisfied with only basic survival needs.Raising grass carp has become a common way of leisure.However,traditional aquarium farming requires a lot of time and effort to maintain,and when people go out,effective management is not possible,resulting in uncontrollable animal and plant growth.With the continuous development of Internet of Things technology,people are gradually not satisfied with the traditional aquarium farming method.Therefore,in view of the problems existing in traditional aquariums,this paper designs and implements an intelligent aquarium system based on Raspberry Pi 4B.This paper first conducts market research on the subdivision of aquariums to understand the main product grades,types,functions and prices of smart aquariums in the market,as well as the problems and pain points encountered by users when using smart aquariums.Then,carry out detailed demand analysis work,take the actual situation as the starting point to sort out and clarify the functions that users really need,mainly including remote monitoring,remote control,video functions and abnormal reminders.Secondly,in-depth study of Internet of Things related technologies,proposed an intelligent aquarium system solution based on Raspberry Pi 4B,and designed the aquarium system circuit diagram.On this basis,the Django development platform and MQTT Broker message server are built to gradually realize the functions of feeding,water changing,oxygenation,and video surveillance.Finally,various functional tests are carried out to verify the feasibility and stability of the system.This article designs and implements a smart aquarium system based on Raspberry Pi 4B,which supports manual mode and smart mode.Intelligent modes include automatic water quality detection,automatic water change,automatic feeding,automatic oxygenation,and automatic alarm reminder.Moreover,considering the user’s usage habits,using more convenient mobile remote access,users can also grasp the growth status of aquariums at any time in the field.In addition,it also reduces costs and increases efficiency in aquaculture management,and provides farmers with accurate water quality data for better management.In summary,the intelligent aquarium system based on Raspberry Pi 4B designed and implemented in this paper has certain practical value and promotion prospects,and will provide a positive role in promoting the development of modern breeding methods. |