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
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 --
中文摘要
StormHarvester是一家英国中小企业,致力于生产领先的预测性工业人工智能解决方案,以实现有效的废水和下水道管理。StormHarvester凭借其世界级人工智能引擎的成功解决废水领域的问题(智能SewerSuite-现已被60%的英国水务公司使用),现在正寻求为河流开发一种先进的人工智能支持的超本地洪水预警系统(FEWS)。洪水是最常见和破坏性最大的自然灾害之一,预计还会增加,因为气候变化使毁灭性事件发生的可能性更大。环境机构、地方防洪主管部门(LLFA)和海岸保护部门(CPA)依靠水力洪水模型工具来产生预报,作为其主要的预警工具。许多LLFA和CPA还使用传感器来确保可以实时观察不断上升的河水,以尝试并了解哪里的洪水可能最严重。然而,这些传感器没有附带具有预测能力的软件,使当局和公民无法准确定位河流洪水将发生的地点和时间。这降低了资源的优化利用,使应急计划和洪水准备变得更加困难。AIFlodPredict建立在StormHarvester健全的机器学习架构构建块的基础上,将通过提供使用河流水位传感器和超局部降雨预报的预测数据提取平台来解决当前洪水预测的局限性。AIFlodPredict将使用先进的FEWS加快应急响应,帮助LLFA和注册会计师精确定位何时何地将发生河水上涨。
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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