Treatment to Tap - securing water quality by extracting value from high resolution sensor network data

自来水处理 - 通过从高分辨率传感器网络数据中提取价值来确保水质

• 批准号: 1983969
• 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: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1983969
• 关键词: Treatment; Tap; securing; water; quality

This project will take advantage of an internationally unique 12-month period time series data set from deployment of over 75 multi parameter water quality instruments in the Southampton area of Southern Water network. The data set will be made available for development and application of analytical techniques on the unique Siemens MindSphere environment. This dataset and access via MindSphere will readily enable:Technology transfer and adaptation of tools and techniques developed for water quantity analysis to water quality.Techniques developed for very limited one-off example water quality data sets to be generalised, enhanced, and validated. Application and development of new techniques from the rapidly developing word of machine learning and AI.

该项目将利用国际上独特的12个月时间序列数据集，该数据集来自南方供水网络南安普顿地区部署的超过75台多参数水质仪器。该数据集将用于在独特的西门子MindSphere环境中开发和应用分析技术。该数据集和通过MindSphere的访问将很容易实现：技术转让和调整为水质水量分析开发的工具和技术。为非常有限的一次性水质数据集开发的技术将被推广，增强和验证。从机器学习和人工智能的快速发展中，新技术的应用和发展。