- May 05, 2017
- Yokogawa Corporation of America
May 5, 2017 - Yokogawa Electric Corporation announced that it has developed an enhanced version of the STARDOM network-based control system and released it on April 27.
This latest version supports Windows 10, and the STARDOM CPU module comes with a new function that enables Java applications to run on a STARDOM controller. In addition, an oil flow rate calculation function has been added to meet the needs of oil and gas well operations.
With the addition of Windows 10 support and other functionality, Yokogawa is demonstrating its ongoing commitment to enhancing the STARDOM system to meet the latest needs at its customers’ sites.
STARDOM is a network-based control system whose principal components are the FCN autonomous controller, the VDS web-based HMI, and the FAST/TOOLSTM SCADA package.
With this latest release, STARDOM has been enhanced as part of a continuing effort to meet the evolving needs of customers, including oil and gas well and pipeline operations. This release includes functionality for the on-site management of data that reduces the amount of communications traffic between central monitoring rooms and facilities distributed over a wide area.
1. Windows 10 support
Support of Windows 10, the latest version of Microsoft’s operating system, has been added with this release, ensuring that STARDOM continues to meet our customers’ latest needs.
2. Simplified system configuration
A Duolet function that enables Java applications to run on the FCN controller is now embedded in the high-speed CPU module. Thanks to this function, the controller can be used to manage files and transmit data.
3. Function for calculating oil flow rate
In addition to an existing function for calculating the gas flow rate, a function for calculating the oil flow rate, based on American Petroleum Institute (API) guidelines, has been added. This function makes it possible to quantify the amount of produced water from an oil or gas well, which serves as a KPI for monitoring age-related degradation in performance and assists in efforts to improve recovery efficiency.