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Auto-Generating Digital Twins for Enhanced Asset Management Using the C3 AI Platform
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 事件驱动型应用
适用行业
- 电网
- 公用事业
适用功能
- 维护
用例
- 数字孪生
- 预测性维护
服务
- 数据科学服务
- 培训
挑战
该公司认识到，支持监控、诊断和预测性维护的资产数字双胞胎将有助于改善其安装基础的服务水平协议 (SLA)。
由于资产配置的下游更改通常不会反映在工程图纸中，因此在记录系统中维护准确的 BOM 是一项具有挑战性的任务。
从历史上看，制造商雇佣了数百名技术专家来维护 BOM，每年的成本超过 1 亿美元。
该制造商寻求一种可扩展的产品化解决方案，以便在其所有产品线中自动执行这种解析和分析。
客户
未披露
关于客户
欧洲最大的制造公司之一每年向全球客户提供数十亿美元的工业设备。
解决方案
该制造商使用复杂的燃气轮机 (GT) 对潜在供应商进行了测试，该燃气轮机具有 10,000 多个组成相互关联的子组件的组件。这些 GT 为多个行业执行关键任务功能，包括为公用事业发电和为石油和天然气公司提供泵送电力。
由三名开发人员和数据科学家组成的 C3 AI 团队在短短四个星期内使用机器学习和深度学习管道构建了一个用于生成数字 BOM 的应用程序。该应用程序增加了流程模拟、故障预测和警报功能，C3 AI 后来将其产品化为可配置的 SaaS 应用程序：C3 AI Digital Twin。
运营影响
数量效益
相关案例.
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Shenzhen Gas has a large fleet of existing gas meters, which are installed in a variety of hard to reach locations, such as indoors and underground, meaning that existing communications networks have struggled to maintain connectivity with all meters. The meter success rate is low, data transmissions are so far unstable and power consumption is too high. Against this background, Shenzhen Gas, China Telecom, Huawei, and Goldcard have jointly trialed NB-IoT gas meters to try and solve some of the challenges that the industry faces with today’s smart gas meters.
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British Gas Modernizes its Operations with Innovative Smart Metering Deployment
The UK government has mandated that smart meters are rolled out as standard across Great Britain by end of 2020, and this roll-out is estimated to create £14 billion in net benefits to the UK in consumer energy savings and lower energy generation demand, according to the Oxford Economics report, “The Value of Smart Metering to Great Britain.” While smart-metering systems have been deployed in many countries, the roll-out in Great Britain is unique because it is led by energy retailers, who have responsibility for the Electricity and Gas meters. The decision to have a retailer-led roll out was made by DECC (Department of Energy and Climate Change) to improve customer experience and drive consumer benefits. It has also led to some unique system-level requirements to support the unique local regulatory model.
