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实例探究 > Birdz:利用 Google Cloud Platform 优化水务智能水表报告

Birdz: Leveraging IoT to Optimize Water Smart Meter Reporting

技术
  • 功能应用 - 计算机化维护管理系统 (CMMS)
  • 传感器 - 电表
适用行业
  • 水泥
  • 石油和天然气
适用功能
  • 维护
  • 采购
用例
  • 高级计量架构 (AMI)
  • 时间敏感网络
服务
  • 云规划/设计/实施服务
  • 系统集成
挑战
在工业层面,智能计量不仅可以帮助降低成本,还可以作为防范公共健康和安全危险的保障。 Birdz 是 Nova Veolia 的子公司,需要以可读的形式快速提供数据,以使其报告服务有效。其遗留的本地数据库无法处理所需的数据量,并且维护成本高昂。
关于客户
Birdz 是 Nova Veolia 的子公司,是智能水表服务和其他智能城市解决方案的领导者。拥有18年智能水表经验,模块销量超600万个。 Birdz 提供智能计量解决方案,范围从传感器开发到监控、传输和分析数据。它拥有自己的传感器和物联网网络,还与其他仪表和低功耗网络接口。
解决方案
Birdz 决定在云中构建数据管道,以提高其分析性能以及在国际范围内扩展和工作的能力。 Birdz 与 Google 高级合作伙伴 SFEIR 合作,将其数据仓库迁移到 Google Cloud Platform,实施 BigQuery、Cloud Dataflow 和 Cloud Storage,以构建灵活且可扩展的数据管道。
运营影响
  • The migration of Birdz's data warehouse into the cloud has significantly improved the company's operational efficiency. The processing time for data exports has been reduced from hours to minutes, enabling the team to focus more on improving their service and developing new products. The parameters of the reports for customers remain the same, but the speed and efficiency of data delivery have greatly improved. Additionally, the company's costs have reduced as they no longer have to pay for licenses or equipment maintenance for that part of their infrastructure. The move to the cloud has also helped Birdz develop a more DevOps mindset, speeding up system improvements and improving internal skills.

数量效益
  • Processing time for data exports reduced from over an hour to under 4 minutes

  • Ability to analyze around 25TB of data a month in BigQuery without any constraints

  • 76 accounts configured feeding into the data pipeline, serving over 1.5 million sensors

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