来源：https://www.turbomachinerymag.com

John Crane announced the launch of John Crane Sense Turbo, a dry gas seal digital diagnostics solution to monitor conditions at the heart of the compressor.

约翰克兰宣布推出 John Crane Sense Turbo，这是一种用于监测压缩机核心状况的干气密封数字诊断解决方案。

John Crane Sense Turbo uses a unique set of sensors embedded directly into a compressor’s dry gas seal to deliver continuous, real-time insight to identify potential issues and ensure corrective actions are taken to extend the useful life of the seal. John Crane Sense Turbo uses a four-step data flow process:

该公司使用一组独特的传感器直接嵌入压缩机的干气密封件中，以提供连续、实时的洞察力，以识别潜在问题并确保采取纠正措施以延长密封件的使用寿命。 John Crane Sense Turbo 使用四步数据流过程：

Sensors collect data on conditions that impact seal health?.

Data from different sensors is combined, processed at the edge, uploaded to the existing process control system (PCS) and distributed control system (DCS), and sent to cloud servers for additional real-time processing and archiving, using industrial-grade cybersecurity.

Real-time pre-set alerts and alarms are sent to applicable devices.

Access to secured and actionable information is available on any device, using enterprise-grade cybersecurity in the cloud with multifactor-protected data portals.

传感器收集有关影响密封健康状况的数据。

来自不同传感器的数据被合并、在边缘处理，上传到现有的过程控制系统 (PCS) 和分布式控制系统 (DCS)，并使用工业级网络安全发送到云服务器进行额外的实时处理和存档。

实时预设警报和警报被发送到适用的设备。

使用云中的企业级网络安全和受多因素保护的数据门户，可以在任何设备上访问安全且可操作的信息。

“Leveraging machine learning, John Crane Sense Turbo allows customers to assess the health of dry gas seals installed in turbomachinery and understand how to optimize the reliability and performance of their rotating equipment,” said John Crane Product Line Director, Digital, Brian Boykin. “By understanding the remaining useful life of a mechanical seal, our customers can add months, if not years, to the time before repair of their equipment, while significantly reducing maintenance costs at the same time.

“利用机器学习，公司解决方案允许客户评估安装在涡轮机械中的干气密封件的健康状况，并了解如何优化其旋转设备的可靠性和性能，”John Crane 数字产品线总监 Brian Boykin 说。 “通过了解机械密封的剩余使用寿命，我们的客户可以将设备维修前的时间延长数月甚至数年，同时显着降低维护成本。