Multidimensional Full State Water Quality - Electrical Data Mining Method for Intelligent Fishing Grounds Based on Cloud Edge Collaboration

Aiming at the problem that the intelligent analysis technology of aquaculture characteristics is difficult to meet the practical application needs of the market, a multi-dimensional full state water quality-electrical data mining method of intelligent fishing grounds based on cloud edge collaboration is proposed. First, based on the cloud edge collaboration architecture, an intelligent fishing ground awareness operation and maintenance system is designed. Through the collaboration of edge computing and cloud computing, the real-time performance of system data monitoring and processing is improved. Then, in the system edge layer, the weighted least square method and BP neural network are used for multidimensional data fusion to ensure the accuracy of monitoring data. Finally, the grey correlation analysis method is applied to the fuzzy comprehensive evaluation, and an improved fuzzy association rule analysis and evaluation model is constructed for the deep mining of full state data, so as to obtain the water quality and electrical safety level. Based on the experimental analysis of the proposed method in Taizhou Jiangyan Fishing Light Complementary Fishing Ground, the results show that the error of the heterogeneous data fusion method is smaller, and its water quality electrical comprehensive evaluation value is between 0.751-0.928, which is the closest to the measured value.