Managing Strategic Infrastructure To Ensure Safe Drinking Water

管理战略基础设施以确保安全饮用水

• 批准号: 2883875
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2883875
• 关键词: Managing; Strategic; Infrastructure; Ensure; Safe

Monitoring of the strategic trunk main system and final water quality pre upgrades. Design and implement mains conditioning across the trunk main system. Assess trunk main system performance. Critical will be the rate of material accumulation / period between needing to repeat interventions, assessed using the VCDM (Variable Condition Discolouration Model, www.PODDS.co.uk).Repeat / continue the above post the treatment works upgrades. Compare and contrast the findings pre and post upgrades. Assessment of the trade-offs between capital and operation investments and resulting service improvements. Customer contact data used for validation. Installation of monitoring equipment including hydraulic (flow and pressure) and water quality (primarily turbidity but other parameters such as chlorine) will be deployed to enable network wide coverage. This will either be via permanent strategic placement, or strategies developed to utilise mobile monitors (i.e. battery powered) to capture planned events or as baseline performance records. As part of this approach trunk main water quality monitoring locations will need be identified and established as part of a company plan to enable rapid and repeatable deployment of mobile monitors. Specific monitoring points will facilitate monitor validation methods that can be used to ensure confidence in absolute, and therefore comparable, measured values between repeated visits (water quality monitoring typically uses non-direct measures, such as optical or electrical conductance, with the result that instrument drift is common). As part of a SMART network plan, all data will be made accessible via a single location, where data analysis can be undertaken to derive additional actionable insights. Periodic managed discolouration material mobilisation events (PODDS conditioning) will be applied. With detailed flow and turbidity data, VCDM (Variable Condition Discolouration Model, www.PODDS.co.uk) will allow accurate determination of a material generation rate for specific pipe sections whilst the impact on other parameters can be assessed. This non-invasive, low cost and zero discharge approach process that has been shown successful in mitigating discolouration risk and improving network resilience will be conducted prior to and post treatment works upgrades, allowing the impact to be quantified. In addition, improvements to understanding system behaviour and potential warning signals can be investigated to further minimise the inescapable risks posed as material accumulates, thereby further improving service.

监测战略主干系统和最终水质预升级。设计和实施跨干线主系统的电源调节。评估干线主系统性能。关键是使用VCDM(可变条件变色模型，www.PODDS.co.uk)评估的材料积累速率/需要重复干预的时间间隔。在处理工程升级后重复/继续上述步骤。比较和对比升级前后的结果。评估资本和运营投资以及由此带来的服务改进之间的权衡。用于验证的客户联系数据。将安装监测设备，包括液压(流量和压力)和水质(主要是浑浊，但其他参数，如氯)，以实现网络覆盖。这将通过永久战略安置，或制定战略，利用移动监视器(即电池供电)来捕获计划中的事件，或作为基准性能记录。作为这一办法的一部分，将需要确定和建立主要的主要水质监测点，作为公司计划的一部分，以便能够快速和可重复地部署移动监测仪。具体的监测点将有助于监测验证方法，这些方法可用于确保重复访问之间的绝对测量值的可信度，从而确保可比较的测量值(水质监测通常使用非直接测量，如光学或电导，结果是仪器漂移很常见)。作为智能网络计划的一部分，所有数据将通过单一位置访问，在那里可以进行数据分析，以获得更多可操作的见解。将应用定期管理的变色材料动员活动(PODDS调理)。借助详细的流量和浊度数据，VCDM(可变条件变色模型，www.PODDS.co.uk)将允许准确确定特定管段的材料生成率，同时可以评估对其他参数的影响。这种非侵入性、低成本和零排放的方法在降低变色风险和提高网络复原力方面已被证明是成功的，将在处理厂升级之前和之后进行，以便量化影响。此外，还可以研究如何更好地了解系统行为和潜在的警告信号，以进一步减少材料堆积带来的不可避免的风险，从而进一步改善服务。