Data Driven Control of Urban Drainage Systems
Data Driven Control of Urban Drainage Systems
批准号:
2883772
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
该项目将专注于为Centaur系统开发一种简单的自主水质控制算法,该算法基于EMS在Severn Trent Water(STW)SSO Impact现场研究地点收集的水质数据集,在这些现场研究地点对SSO上下游的水质进行监测,以了解影响。STW已同意使用该项目的数据。具体步骤如下:1.审查现有的Centaur RTC系统、现有安装的状况和性能以及来自这些站点的可用数据集。回顾有关UDS、RTC和SSO对水质影响的相关文献。2.审查和分析一系列现有的污水处理研究场地的现有数据集,以了解和量化SSO对接收水域的影响,并为更新后的RTC系统确定一系列水质指标。3.审查来自STW当前Centaur设施的数据集,以了解现有液压控制算法(仅基于UDS水位测量)在接收水质方面的性能。根据水位的实时测量+环境和水质数据的不同组合,为确定的水质目标开发半人马的候选控制方案。与EMS工作人员讨论和评审选项,以制定考虑传感/数据需求的首选方法。在试验现场对选定的控制方法进行虚拟测试,并与现有控制系统进行性能比较。这将基于在修订的RTC控制算法下可能减少环境危害和接收水质的考虑。6.在Centaur内更新控制算法,并在EMS指定的站点测试方法。
英文摘要
The project will focus on developing a simple autonomous water quality control algorithm for the CENTAUR system, based on water quality datasets collected by EMS at a number of Severn Trent Water (STW) SSO impact field study sites, where water quality upstream and downstream of SSOs is monitored to understand impacts. Use of the data for this project has been agreed by STW. The specific steps are as follows1. Review the existing CENTAUR RTC system, condition and performance of existing installations and available datasets from these sites. Review relevant literature on UDS RTC and water quality impacts from SSOs. 2. Review and analyse available datasets from range of available STW study sites to understand and quantify the impact of SSOs on receiving waters and define a range of water quality objectives for an updated RTC system. 3. Review datasets from current CENTAUR installations in STW to understand the performance of the existing hydraulically based control algorithm (based on UDS water level measurements only) on receiving water quality.4. Develop candidate control options for CENTAUR based on the use of real time measurements of water level + different combinations of environmental and water quality data for defined water quality objectives. Discuss and review options with EMS staff to develop preferred approaches considering sensing/data needs.5. Conduct virtual testing of selected control approaches at trail sites and compare performance with existing control system. This will be based on a consideration of the potential reduction in environmental harm and receiving water quality under revised RTC control algorithms. 6. Update control algorithm within CENTAUR and test approaches at sites nominated by EMS.
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国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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批准号:--
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:江洋子
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依托单位: