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Anacostia Riverkeeper Uses DataRobot to Predict Water Quality in the Anacostia River
技术
- 分析与建模 - 预测分析
适用行业
- 城市与自治市
用例
- 质量预测分析
服务
- 数据科学服务
挑战
阿纳科斯蒂亚河流守护者是一个非营利组织，致力于保护和恢复阿纳科斯蒂亚河，该河流流经华盛顿特区和马里兰州部分地区。这条河水污染严重，自 20 世纪 70 年代以来，由于担心污染会影响健康，游泳一直是非法的。目前检测水质的方法需要几天时间才能返回结果，导致水质检测和结果向公众公布之间存在延迟。此外，水质会随着天气条件（例如降雨）而迅速变化，导致检测结果在返回之前就已经过期。阿纳科斯蒂亚河流守护者需要一种更有效、更及时的方法来监测和预测阿纳科斯蒂亚河的水质。
关于客户
阿纳科斯蒂亚河流守护者是一家位于华盛顿特区的非营利组织。他们的使命是保护和恢复阿纳科斯蒂亚河，为所有在其流域生活、工作和娱乐的人服务，并倡导为所有社区提供清洁的河流。阿纳科斯蒂亚河流经华盛顿特区中心和马里兰州部分地区。与许多城市水道一样，这条河受到严重污染，由于对污染的健康担忧，自 1970 年代以来，游泳一直是非法的。
解决方案
通过 DataRobot 的 AI for Good 计划，Anacostia Riverkeeper 与 DataRobot 合作开发了一个系统来预测大肠杆菌水平是否高于安全水平。该团队从美国地质调查局 (USGS) 位于 Anacostia 河不同位置的 28 个传感器收集了有关流量、水位高度、温度等的数据。这些特征在过去 12 到 24 小时内汇总，以了解河流的历史状况。该团队使用 DataRobot 构建和训练了数十个二元分类模型，然后选择并部署了最佳模型。解决方案工程师随后构建了一个脚本，用于提取 USGS 传感器数据、对其进行聚合并将其发送到 DataRobot 进行评分。结果存储在数据库中并使用 Tableau 进行可视化。
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