A multi-parameter fused hippocampus seedling raising water quality monitoring method
By employing a multi-parameter fusion method for monitoring water quality in seahorse breeding, combined with microbubble parameters, and utilizing the TRIZ principle and deep belief network model, a comprehensive water quality index is generated. This solves the problems of low water quality monitoring accuracy and lack of consideration of coupling effects in existing technologies, and achieves precise control of the seahorse breeding environment and efficient breeding.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- EAST CHINA SEA FISHERIES RES INST CHINESE ACAD OF FISHERY SCI
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Most existing water quality monitoring methods for seahorse breeding rely on monitoring a single or a few water quality parameters. The data processing accuracy is low, failing to accurately reflect the overall state of the water body. Furthermore, they do not consider the coupled influence of microbubble parameters on core water quality indicators such as dissolved oxygen and ammonia nitrogen, leading to biased monitoring results. This results in the inability to provide accurate water quality control information, affecting the survival rate of breeding seedlings and the profitability of aquaculture.
By employing a multi-parameter fusion method, combining microbubble parameters, and processing water quality and microbubble parameters through TRIZ principles and a deep belief network model, a comprehensive water quality index is generated, triggering a multi-level early warning mechanism to achieve precise assessment and control of water quality status.
This improves the accuracy of water quality assessment results, ensures the stability of the seahorse breeding environment, increases the survival rate of seedlings and breeding efficiency, and reduces the occurrence of diseases.
Smart Images
Figure CN122409982A_ABST