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Design of Intelligent Monitoring System for Blue Algae Bloom in Chaohu Lake
Bing Kong, Mei Yu, Song Ye, Xiaoyong Xu and Rong Xiang

Aiming at the problems of high communication cost and high power consumption in Chaohu cyanobacteria bloom monitoring system, Design a based on LoRa technology and Multi-scale Recursive Codec Network based on Authority Parameters (MRCN – AP) chaohu lake algae blooms intelligent monitoring system. By analyzing and designing the image acquisition device, wireless transmission system and supporting power supply scheme, and using the data hierarchical storage system of edge computing and blockchain LoRa wireless network, it completes the communication between layers, data analysis and processing, data storage and other functions. By comparing with the standardized database, the outbreak level is determined. Finally, real-time monitoring results are displayed through the web management platform; Aiming at the problem of motion blur caused by shore-based video in the fluctuating environment of water surface, MRCN-AP was used to effectively eliminate the visual artifacts of motion blur images, improve the monitoring accuracy of cyanobacteria bloom information in video images, and realize the remote monitoring of cyanobacteria bloom outbreaks. The actual test shows that the core functions of the platform have high efficiency and can meet the actual needs of monitoring and control of cyanobacteria bloom in Chaohu Lake.

Keywords: blue algae bloom, LoRa； MRCN-AP, intelligent monitoring, motion blur