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StormHarvester’s ‘AIFloodPredict’: A unique AI engine and rainfall prediction system to accurately predict advanced flood warning in regions of high vulnerability

StormHarvester’s ‘AIFloodPredict’: A unique AI engine and rainfall prediction system to accurately predict advanced flood warning in regions of high vulnerability
StormHarvester 的“AIFloodPredict”:独特的人工智能引擎和降雨量预测系统,可准确预测高度脆弱地区的高级洪水预警
批准号:
10045459
负责人:
金额:
$35.39万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --

项目摘要

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中文摘要
翻译
StormHarvester是一家英国中小企业,致力于为有效的废水和下水道管理提供领先的预测性工业人工智能解决方案。凭借其世界一流的AI引擎成功解决废水领域的问题(IntelligentSewerSuite -现在被60%的英国水务公司使用),StormHarvester现在正在寻求为河流开发一个先进的人工智能驱动的超本地洪水预警系统(FEWS)。洪水是最常见和最具破坏性的自然灾害之一,预计会增加,因为气候变化使毁灭性事件更有可能发生。环境机构、地方洪水主管部门(LLFA)和海岸保护主管部门(CPA)依靠水力洪水建模工具来生成预报,作为其主要预警工具。许多LLFA和CPA还使用传感器来确保可以实时观察到河水沃茨,以尝试了解洪水可能最严重的地方。然而,这些传感器没有附带具有预测能力的软件,这使得当局和公民无法准确地确定河流洪水将在何时何地发生。这降低了资源的最佳利用率,使应急规划和洪水准备工作更加困难。基于StormHarvester健全的机器学习架构构建块,AIFloodPredict将通过使用河流水位传感器和超本地降雨预报提供预测数据提取平台,解决当前洪水预报的局限性。AIFloodPredict将帮助LLFA和CPA精确地确定何时何地会发生河流洪水沃茨,使用先进的FEWS来加速应急响应。
英文摘要
StormHarvester is a UK SME dedicated to producing leading predictive industrial-AI solutions for effective wastewater and sewer management. Pivoting on their success with their world-class AI engine to address problems in the wastewater space (IntelligentSewerSuite - now being used by 60% of UK Water Companies), StormHarvester is now looking to develop an advanced AI-powered hyperlocal Flood Early Warning System (FEWS) for rivers.Floods are among the most common and destructive natural hazards and are predicted to increase, as climate change makes devastating events more likely. Environment Agencies, Lead Local Flood Authorities (LLFAs) and Coastal Protection Authorities (CPAs) rely on hydraulic flood modelling tools to produce forecasts as their main tool for warnings. Many LLFAs and CPAs also use sensors to ensure rising river waters can be observed in realtime to try and understand where flooding may be worst. However, these sensors do not have accompanying software with a predictive capability, preventing authorities and citizens from pinpointing precisely where and when river flooding will occur. This reduces optimal use of resources making emergency planning and flood preparation more difficult.Building on StormHarvester's sound machine learning architectural building blocks, AIFloodPredict will tackle current flood forecasting limitations by providing a _predictive_ data extraction platform using river level sensors and hyperlocal rainfall forecasts. AIFloodPredict will help LLFAs and CPAs to precisely pinpoint where and when rising river flood waters will occur, using an advanced FEWS to accelerate emergency response.
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