IOT-Based Environmental Information Measurement System for the Prediction of Algae bloom in Marine Plantation

摘要

The present invention relates to an environmental information measurement system for predicting the occurrence of abnormal algae in an IOT-based marine aquaculture, according to the present invention, by measuring information about the environmental information of the marine aquaculture, that is, nitrogen, salinity, temperature, and dissolved oxygen in real time. IOT is a system that can detect and respond to the possibility of algae occurrence, and it is possible to quickly respond by detecting rapid water temperature rise and red tides early, and to minimize damage to marine aquaculture farms by periodically checking the environmental conditions of the marine aquaculture. An environmental information measurement system for predicting the occurrence of abnormal algae in the base marine aquaculture can be provided. In order to achieve the above object, the present invention includes a measuring unit for measuring information of the ocean in real time; A main server receiving the information measured by the measurement unit; A management server receiving the data analyzed by the main server; It is an environmental information measurement system for predicting the occurrence of abnormal algae in an IOT-based marine aquaculture, including a meteorological service server that transmits data on the ocean to the main server and a user terminal that receives a warning notification from the management server.