In order to detect aquaculture environmental conditions faster and more accurately, this paper designs an aquaculture environmental parameter detection system composed of multiple sensors with STM32 microcontroller as the core controller, One NET cloud platform as the remote monitoring platform. The main function is to use the sensor node to collect water quality parameter information in the breeding area, and use the least square method to establish temperature compensation model for the PH value. Then, the water quality information is uploaded to the One NET cloud platform through the Raspberry Pi 4B+, so as to meet the needs of users for remote real-time monitoring. Experiment shows that the system can meet the basic requirements of farmers to check the water quality parameters of the aquaculture area anytime and anywhere, and meet the expected assumptions.