This technology is the statistics and analysis of the breeding data of anemone fish. To reduce the cost of breeding production and human error, and then improve the breeding management mode. Providers conduct risk assessment of anemone fish health management. In this study, various environmental parameters such as water temperature, pH value, dissolved oxygen, salinity, ORP and environmental microclimate were systematically analyzed and fish behavior image identification was carried out. Establish automatic control such as breeding environment monitoring and early warning feedback, and cooperate with abnormal signal to assist decision-making mechanism to complete the environmental monitoring of breeding anemone fish and the confirmation of early warning conditions for the occurrence of epidemic diseases.