This research designed a scallop larval culture environment monitoring and control system based on a three-layer Internet of Things architecture to increase the survival rate of scallop larval cultivation. In order to achieve remote intelligent monitoring of the scallop larval cultivation environment, it is comprised of water quality monitoring, video monitoring, intelligent control, and a remote service center. The system's primary control center is an STM32 microcontroller, which gathers data on water quality via the ModBus protocol to provide real-time monitoring of dissolved oxygen, water temperature and liquid level; The Yingshi Cloud platform is used in the video surveillance to track the scallop larval's cultivation state and the water level of the cultivation cone; The device uses fuzzy neural network PID control to intelligently regulate the dissolved oxygen and water's temperature levels; Web and Android applications have been created by the application layer. The complete system network is linked to the Alibaba Cloud platform and uses a WiFi wireless network module. Users can remotely view the data about the cultivation environment using web browsers and Android application terminals thanks to the integrated server administration program. Build an experimental system and test the communication stability, data accuracy, and web application individually. The communication success rate of the complete system reaches above 99%, with an average relative measurement error of ±0.074mg/L for dissolved oxygen and ±0.079℃ for water temperature. The system has been operating steadily and dependably, supporting the equipment used in the scallop seedling business and satisfying the requirements of raising scallop larval in circulating water.