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In order to meet the needs of large-scale and accurate monitoring of various water environments, a multi-sensor water quality monitoring method based on optimized deep confidence networks is proposed. Set water quality monitoring standards as criteria for determining water quality levels. Optimize the design of sensor equipment for water temperature, pH value, dissolved oxygen, turbidity, etc., and use the optimized deep confidence network to select the installation location of multiple sensors. Utilize multiple sensors to collect water environment data and complete fusion processing. Through the calculation of multiple water quality monitoring indicators and comparison with set standards, obtain visual output results of multi-sensor water quality monitoring. Through performance testing experiments, it was concluded that the water quality monitoring range of the optimized design method is 2041.79 square kilometers, and the monitoring errors of turbidity, pH value, dissolved oxygen, and ammonia nitrogen concentration indicators are 0.005FTU, 0.07, 0.05mg/L, and 0.007mg/L, respectively, which are lower than traditional methods and meet the preset conditions.