Online detection and identification method and system for fish toxic red tide algae

• Main Authors: JIN WA, FU XINGHU, BI WEIHONG, WANG SIYUAN, FU GUANGWEI
• Format: Patent
• Language: Chinese; English
• Published: 25.06.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

The invention relates to an online detection and identification method and system for a fish toxic red tide algae. The method comprises the following steps: acquiring three-dimensional fluorescence spectrum data of a red tide algae sample; preprocessing the three-dimensional fluorescence spectrum data of the red tide algae sample; extracting spectral features from the preprocessed three-dimensional fluorescence spectrum data; according to the extracted spectral features, establishing a mapping model of fish toxic red tide algae hemolytic activity identification by adopting a particle swarm optimization support vector machine method; and determining an identification result by using the mapping model according to the extracted spectral features. The online detection and identification method and system for the fish toxic red tide algae provided by the invention can realize uninterrupted in-situ online detection and improve detection precision. 本发明涉及一种鱼毒性赤潮藻在线检测识别方法及系统。该方法包括：赤潮藻样本的三维荧光光谱数据；对所述赤潮藻样本的三维荧光光谱数据进行预处