Research On Aquaculture Environmental Factor Detection System Based On Internet Of Things

With the improvement of people’s living standards,there are higher requirements for the quality of aquatic products and the environmental conditions at the breeding site.The traditional aquaculture detection system uses wired detection,which not only detects the data with low precision,the line is easy to corrode,and can not be adjusted remotely.At the same time,it increases the difficulty of field wiring and increases the system maintenance cost.In view of the current status of domestic aquaculture technology and the actual conditions of the breeding site,the combination of wireless communication technology and traditional water quality detection technology can improve the defects of traditional detection systems.Therefore,this paper designs a set of Internet of Things aquaculture environmental factor detection system.The system adopts the three-layer architecture design of the Internet of Things,namely the sensing layer,the transport layer and the application layer.The sensing layer is composed of sensors and corresponding circuits,control modules,and power modules,and is responsible for completing the collection of environmental factor information.The data is sent to the field control terminal remotely through the ZigBee technology of the transmission layer,and then the data is sent to the upper computer through the GPRS module to realize remote supervision.Combined with the actual application objects and conditions,this paper proposes an improved fuzzy comprehensive water quality assessment method.Based on the traditional fuzzy comprehensive water quality assessment method,the evaluation criteria and the evaluation factor weights are improved,so that the evaluation of the water quality of the aquaculture waters is more in line with the actual situation,and the water quality can be better evaluated.The system has been tested to meet design requirements.The data acquisition accuracy is high and the error is small.It can realize wireless data transmission with low packet loss rate and high reliability.Application layer software enables the regulation of the water quality environment at the breeding site.The improved fuzzy comprehensive water quality assessment method can accurately evaluate water quality.