![Data Engineering for Enabling Condition Monitoring of Industrial Equipment - IoT ONE Case Study Data Engineering for Enabling Condition Monitoring of Industrial Equipment - IoT ONE Case Study](/files/casestudy/63077faf93941.png)
技术
- 网络与连接 - MQTT
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 航天
- 汽车
用例
- 资产健康管理 (AHM)
- 结构健康监测
服务
- 数据科学服务
- 系统集成
客户
未披露
关于客户
这家仪器工程公司生产数据采集系统 (DAQ),可用于航空航天、工业和汽车行业的关键测试、测量和监控应用。
挑战
客户希望提供一个完整的传感器到软件系统,该系统通过简单的即插即测概念易于使用。
每个设备/传感器都有其独特的技术,服务于不同的目的,因此具有最适合该产品的单独数据采集平台。然而,他们的最终客户,即大型工业企业,可能需要一个或多个设备/产品用于他们的应用程序,因此需要使用不同的平台。使用了不同的数据采集平台,这意味着:
- 客户拥有数十个硬件和软件系统,用于为其企业客户提供服务
- 维护这些平台需要大量的精力和资源
- 上市时间也缓慢而漫长
- 分散的产品组合导致销售流程脱节和客户认知度低
- 跨平台缺乏标准功能
解决方案
平台实施作为结果
Saviant 与 Instrument Engineering 公司合作开发了具有智能分析和 AI 功能的完整稳健的状态监测平台。拥有一支由 20 名技术顾问和开发人员组成的团队,致力于 .Net 核心、GraphQL - 新 API 技术、OPC UA 以客户端-服务器机制表示设备对象,并使用 MQTT 等设备发现协议与设备进行通信。
这个通用平台实时捕获来自各种来源和平台的数据,对其进行编排,并通过 API 将其交付给各种应用程序。这实现了:
- 软件平台的完整传感器
- 向不同级别的客户开放接口——设备、测量文件或应用程序
- 跨平台标准化
- 平台独立性——Windows、Linux、MacOS 等
- 可扩展性
- 安全
运营影响
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