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To eliminate the disadvantages of high costs on labor, the deviation of data measurement and to achieve timely understanding of the spatial distribution of key parameters to achieve the purpose of providing decision-making information for aquaculture, a wireless sensor network-based aquaculture water quality parameter monitoring system is designed, which uses ZigBee wireless communication technology to build a sensor network, mainly monitoring water temperature, pH, DO three water quality parameters indicators, and the use of MATLAB platform, the Kalman filtering algorithm and linear interpolation method combined to achieve the optimization of water quality parameters and the construction of a four-dimensional model of spatial distribution. By comparing the parameter data of different points in the selected distribution space with the actual measured data, the average relative deviations of temperature, pH and DO were 3.18%, 2.89% and 1.59% respectively. The results show that the construction of spatial distribution model by Kalman filtering optimization and linear interpolation method can accurately grasp the information of the dynamic changes of the overall water quality parameters of aquaculture ponds and can have a reference value for the management of the aquatic environment of the breeding pond.