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Predictive modeling used to help protect the environment and save costs
技术
- 分析与建模 - 预测分析
适用行业
- 公用事业
适用功能
- 维护
用例
- 预测性维护
- 泄漏与洪水监测
服务
- 数据科学服务
挑战
英国泰晤士水务有限公司需要了解其污水管网中公用设施孔洞的洪水与污染事件之间的关系。该公司的目标是创造一个更清洁的环境,避免昂贵的泄漏、不良的宣传和不满意的客户。挑战在于确定最有可能被洪水淹没并造成污染问题的公用设施孔洞,尤其是有洪水历史或位于河道附近的孔洞。
关于客户
总部位于雷丁的泰晤士水务有限公司 (TWUL) 是一家私营公用事业公司,负责大伦敦大部分地区和英国其他地区的公共供水和废水处理。该公司致力于为客户提供清洁安全的水,并维护其废水网络的完整性。它不断寻找创新解决方案来改善其服务并减少对环境的影响。
解决方案
该公司使用 IBM SPSS Modeler 建立了一个预测模型,以分析事件数据并确定最有可能被洪水淹没并造成污染问题的公用设施孔。该预测模型使公司能够优先考虑这些公用设施孔进行预防性维护。维护活动范围从清洁管道到更换水管。该解决方案是在 IBM 全球商业服务 — 业务咨询服务的帮助下实施的。
运营影响
数量效益
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