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A repeatable model for industrial data intelligence
技术
- 网络与连接 - 网关
适用行业
- 石油和天然气
适用功能
- 流程制造
用例
- 边缘计算与边缘智能
挑战
Exara 的石油和天然气客户需要一种可靠的方式来收集、存储和处理来自远程油田现场复杂机器资产的数据。这些严酷的现实世界环境对高性能计算设备提出了重大挑战。
客户
增强型
关于客户
ionSign 的客户 Enersize 在提供系统压缩空气系统 (CAS) 能效优化方面拥有超过 35 年的经验。这家中国液晶面板制造商是 Enersize 的客户之一。
解决方案
该公司在面向物联网的 Dell Edge Gateway 设备上锚定了一个强大的数据收集和管理基础架构,这些设备旨在在恶劣的环境中表现良好。
收集的数据
Asset Utilization, Machine Utilization Rate
运营影响
数量效益
相关案例.
Case Study
Taking Oil and Gas Exploration to the Next Level
DownUnder GeoSolutions (DUG) wanted to increase computing performance by 5 to 10 times to improve seismic processing. The solution must build on current architecture software investments without sacrificing existing software and scale computing without scaling IT infrastructure costs.
Case Study
Remote Wellhead Monitoring
Each wellhead was equipped with various sensors and meters that needed to be monitored and controlled from a central HMI, often miles away from the assets in the field. Redundant solar and wind generators were installed at each wellhead to support the electrical needs of the pumpstations, temperature meters, cameras, and cellular modules. In addition to asset management and remote control capabilities, data logging for remote surveillance and alarm notifications was a key demand from the customer. Terra Ferma’s solution needed to be power efficient, reliable, and capable of supporting high-bandwidth data-feeds. They needed a multi-link cellular connection to a central server that sustained reliable and redundant monitoring and control of flow meters, temperature sensors, power supply, and event-logging; including video and image files. This open-standard network needed to interface with the existing SCADA and proprietary network management software.
Case Study
Refinery Saves Over $700,000 with Smart Wireless
One of the largest petroleum refineries in the world is equipped to refine various types of crude oil and manufacture various grades of fuel from motor gasoline to Aviation Turbine Fuel. Due to wear and tear, eight hydrogen valves in each refinery were leaking, and each cost $1800 per ton of hydrogen vented. The plant also had leakage on nearly 30 flare control hydrocarbon valves. The refinery wanted a continuous, online monitoring system that could catch leaks early, minimize hydrogen and hydrocarbon production losses, and improve safety for maintenance.