人工智能和物联网应用程序的最大生产部署
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 功能应用 - 远程监控系统
- 传感器 - 环境传感器
- 传感器 - 电表
适用行业
- 电网
适用功能
- 商业运营
- 维护
用例
- 欺诈识别
- 预测性维护
客户
埃内尔
关于客户
- 96GW 发电能力 - 年收入 710 亿欧元 - 全球 6200 万客户 - 73,000 名员工
挑战
为了提高效率、开发新服务并在整个组织中传播数字文化，Enel 正在执行企业范围的数字化战略。实现财富 100 强公司目标的核心是大规模部署 C3 AI 套件和应用程序。 Enel 运营着世界上最大的企业物联网系统，在意大利和西班牙拥有 2000 万个智能电表。
解决方案
团队合作用 C3 欺诈检测应用程序取代了传统的非技术损失识别流程。新应用程序使用先进的人工智能功能，根据能源回收的幅度和欺诈的可能性，对服务点潜在的非技术损失情况进行优先排序。
该系统将来自七个 Enel 源系统和 22 个数据集成的 10 万亿行数据集成并关联到一个统一的、联合的云图像中，该图像近乎实时地在 Amazon Web Services 上运行。 C3 Fraud Detection 使用分析和 500 多项高级机器学习功能，不断更新每个客户仪表的欺诈概率。
为了提高电网可靠性并减少故障的发生，Enel 为 5 个控制中心部署了 C3 预测性维护应用程序。该应用程序使用人工智能分析实时网络传感器数据、智能电表数据、资产维护记录和天气数据，以预测馈线故障。
收集的数据
Electricity Meters, Weather
运营影响
数量效益
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