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
• 金额: $ 35.39万
• 依托单位: STORMHARVESTER UTILITIES LIMITED
• 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
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10045459
• 关键词: StormHarvester; AIFloodPredict; unique; AI; engine

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.

Stormharvester是英国中小型企业，致力于生产有效的废水和下水道管理领先的预测工业解决方案。 Stormhararvester现在正在寻求开发出一种先进的AI高局部洪水预警系统（少数河流）的河流和悬而未决的事件，使他们的成功涉及到了，他们可能会越来越多地改变，这使得越来越多的事件在越来越多的事件中增加了，因此在世界一流的AI引擎中取得成功，以解决废水空间中的问题（智能开套件 - 现在被60％的英国水公司使用）。环境机构，领导地方洪水当局（LLFAS）和沿海保护当局（CPA）依靠液压洪水建模工具来生产预测作为其警告的主要工具。许多LLFA和CPA还使用传感器来实时观察到河水上升，以尝试了解洪水可能最严重的地方。但是，这些传感器没有具有预测能力的随附软件，可以防止当局和公民精确地指出河流洪水的发生地点。这减少了最佳资源利用，使紧急计划和洪水准备更加困难。在Stormharvester的Sound Machine Learning Architectural Buildtrabs上建造Aiflood Predict将通过提供_PREDICTIVE_数据提取平台，使用河流级传感器和超局部降雨预测来解决当前的洪水预测限制。 Aiflood Prepentict将帮助LLFA和CPA精确地指出河流洪水的何时以及何时发生，使用高级少量来加速应急响应。