Predictive Assessment Tool for Beach Conditions Using Video Imaging and Neural Network Analysis

使用视频成像和神经网络分析的海滩状况预测评估工具

• 批准号: LP0347960
• 负责人: Em/Prof Rodger Tomlinson
• 金额: $ 20.25万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0347960
• 关键词: Predictive; Assessment; Tool; Beach; Conditions

Beaches are vital part of Australian lifestyle and economic development. Monitoring of variable beach conditions is vital for beach safety and for management of storm erosion. The aim of this project is to develop an assessment tool which will permit a rating system of beach conditions both from an environmental as well as a leisure aspect. This tool will be developed into a software analysis system which will include components of artificial intelligence to enable the system to use feedback loops to create a better prediction of the beach morphology relative to the breaking wave characteristics.

海滩是澳大利亚生活方式和经济发展的重要组成部分。监测变化的海滩状况对于海滩安全和风暴侵蚀管理至关重要。该项目的目的是开发一种评估工具，从环境和休闲方面对海滩状况进行评级。这一工具将发展成为一个软件分析系统，该系统将包括人工智能的组成部分，使该系统能够使用反馈回路，以便更好地预测与破碎波特征有关的海滩形态。