时空自适应的智慧超声控藻方法
By combining numerical simulation and deep learning algorithms in a spatiotemporal adaptive method, the precise deployment and real-time control of unmanned vessels were achieved, solving the problem of frequent algal blooms in slow-flowing water bodies such as lakes and reservoirs using ultrasonic algae control unmanned vessels, thus improving governance efficiency and ecological benefits.
CN121787283BActive Publication Date: 2026-07-17INNOVATION CENTER OF YANGTZE RIVER DELTA ZHEJIANG UNIVERSITY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INNOVATION CENTER OF YANGTZE RIVER DELTA ZHEJIANG UNIVERSITY
- Filing Date
- 2026-03-04
- Publication Date
- 2026-07-17
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Figure CN121787283B_ABST
Abstract
本发明公开了一种时空自适应的智慧超声控藻方法，针对湖泊、水库等缓流水体藻华频发、精准控制难等问题，综合应用数值模拟和深度学习算法，实现水体藻华热点像元级识别和周 / 小时级精准预测，采用基于服务半径的邻域抑制迭代选择策略，可驱动超声控藻无人船的空间自适应部署，进一步小时级船载数据与深度学习预测，融合动态规划寻优算法，可实现超声控藻无人船实时闭环作业。
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