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基于多传感器数据融合的近岸海域生态环境智能监测

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传统近岸海域生态环境智能监测方法未对近岸海域生态环境监测指标进行制定,监测效率低.提出基于多传感器数据融合的近岸海域生态环境智能监测.制定近岸海域生态环境监测指标,构建海域生态环境监测模型,设计智能监测流程,基于多传感器数据融合实现近岸海域生态环境智能监测,实验结果表明,该研究方法可以减少近岸海域生态环境智能监测开销,监测效率更高.
Intelligent Monitoring of Ecological Environment in Coastal Waters Based on Multi-sensor Data Fusion
The traditional intelligent monitoring methods for the ecological environment of nearshore waters have not formulated monitoring indicators for the ecological environment of nearshore waters,resulting in low monitoring efficiency.Propose intelligent monitoring of the ecological environment in nearshore waters based on multi-sensor data fusion.Develop ecological environment monitoring indicators for nearshore waters,construct a monitoring model for marine ecological environment,design an intelligent monitoring process,and achieve intelligent monitoring of nearshore marine ecological environment based on multi-sensor data fusion.The experimental results show that this research method can reduce the cost of intelligent monitoring of nearshore marine ecological environment and improve monitoring efficiency.

multi-sensor data fusionnearshore sea areaecological environmentintelligent monitoring

母凌燕、蒋奕宸、李博阳、罗俊

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深圳市衡兴安全检测技术有限公司,广东 深圳

清华大学 深圳国际研究生院,广东 深圳

多传感器数据融合 近岸海域 生态环境 智能监测

深圳市可持续发展专项(2021)

KCXFZ20201221173401005

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(11)
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