The monitoring data efficiency of single machine and manual management is low, and the real-time and accuracy of data are not high. The data recommendation of marine environment was taken as the research object and the intelligent instrument data recommendation system was designed. The system was constituted of data application system, data processing system, communication system, data acquisition system and database. Marine related information was collected by satellite remote sensing, the relation ship between parameters was obtained by K-means algorithm and Apriori algorithm, and the decision tree algorithm was used to evaluate the marine ecological environment effectively. Then the fuzzy C-means clustering algorithm was used to analyze and predict the occurrence of red tide in the ocean. To verify the effectiveness of the system, the analysis test for marine ecological environment and red tide prediction test were carried out. The test results show that the system could effectively analyze the marine ecological environment and predict the red tide more accurately.
关键词
数据挖掘技术/智能仪器数据推荐算法/K-means算法/Apriori算法/模糊C均值聚类算法
Key words
data mining technology/intelligent instrument data recommendation algorithm/K-means algorithm/Apriori algorithm/fuzzy C-means clustering algorithm
维普
万方数据