Oct 16, 2020

Siemens Energy partners with Librestream

SiemensEnergy
Ar
DigitalTransformation
Scott Birch
2 min
Librestream Onsight AR platform selected for Siemens Energy’s Connected Worker solution
Librestream Onsight AR platform selected for Siemens Energy’s Connected Worker solution...

Siemens Energy has selected Librestream Onsight augmented reality platform for its Connected Worker solution. 

The solution will be available to thousands of field service workers, as well as external contractors servicing global energy and power customers. The partnership with Librestream will also allow Siemens Energy to directly offer the solution to its customer base. 

"Librestream has almost 20 years of remote collaboration experience in the industrial market, which is evident in the depth of their platform and global customer footprint," says Laura Anderson, Head of Controls and Digitalization at Siemens Energy. "We require a partner that is capable of meeting the strict security requirements of our market and can immediately deliver access to remote experts, content and procedures across every environment. Equally as important, we need a partner with an aligned vision and product roadmap that builds on our leadership position and guides our customers into the future of the connected worker."

Using the solution will allow teams to remotely inspect, diagnose, and maintain equipment such as industrial steam and gas turbines, onshore and offshore oil and gas platforms, and plant instrumentation and controls. 

Among the benefits of the system is faster resolution time, increased productivity and worker safety, and higher uptime for customers.

“We greatly value our partnership and are honoured to be selected for the Siemens Energy Connected Worker solution. This partnership brings together two best-in-classes companies and addresses a growing requirement to digitally enable frontline workers at asset-intensive companies for greater productivity and safety coupled with critical field insights and cost efficiencies. We look forward to continuing the digital worker journey with Siemens Energy," adds John Bishop, CEO at Librestream.

The package includes the full Librestream Onsight platform including remote expert assistance, digital workflow procedures, workspace document management, artificial intelligence capabilities, and specialty field inspection hardware, he says. 

The Librestream solution will also integrate with Microsoft Teams to quickly extend and streamline collaboration throughout Siemens Energy.

Siemens Energy's Connected Worker solution includes the following Librestream components:

  • Remote expert collaboration optimised for challenging field environments
  • Artificial intelligence such as Computer Vision object recognition with integrated IoT data
  • Digital workflow procedures and document management to guide, capture and distribute tribal knowledge
  • Specialty field hardware including the Onsight Hub adapter and Onsight Cube, an Ex-certified thermal imaging wearable
  • Integration with collaboration system such as Microsoft Teams to streamline communications throughout the organisation

CCS JV (a joint venture between Saipem and McDermott) recently selected Siemens Energy to supply emissions-reducing power generation equipment and boil-off gas compressors for the Mozambique LNG Project in the Cabo Delgado province on Africa’s East Coast.  

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Apr 22, 2021

TwinThread: Speed and Visibility with Predictive Operations

digitaltwin
PredictiveOperations
TwinThread
SponsoredContent
2 min
We talk about some key features of Predictive Operations and the importance of time and visibility in production according to TwinThread

If you are looking for greater production or cost efficiency, to effectively use your current data, or allow operators the power to find new opportunities, you may want to consider predictive analytics.

Predictive analytics could play a key role in making your data work more effectively, in a manner that suits engineers. 

TwinThread has given insight into how the Predictive Operations Platform is timely, cost effective and uses innovative ideas for long term results.

‘Time is Money’

To get the most from Predictive Operations it’s important to understand what your provider aims to achieve and how quickly you will see results.

The provider will understand the importance of proving value fast. 

“whatever predictive solution your organization pursues, it has to connect to your existing data sources easily and quickly,” according to TwinThread in their article ‘Powering Digital Manufacturing Transformation’.

“In the Litmus Test of assessing a prospective platform, whether it’s capable of drawing on your existing information has to be very high (if not first) on your list of prerequisites.”

Ultimately, the statement ‘Time is Money’ reigns true in most business practices. 

When pursuing a goal, such as production or cost efficiency, it is necessary to deploy a system that can actively analyze production data, enabling your operations team to make further improvements to current processes.

TwinThread prides itself in achieving fast results within days by providing a solution that is simple for operators to learn and apply.

“If it’s slow out of the gate, because it’s difficult to connect, this is just pushing the time to insight further out,” adds TwinThread.

Any engineer or operator can use TwinThread’s platform to model their factory and scale learnings quickly.

Creating a Digital Twin

A useful component for continuous improvement, in production, is a digital twin.

“Bringing your data to life by pairing insights with illustrated representations of the assets your experts interact with day in and day out allows for faster and more comprehensive understanding and a more risk-based approach to scaling operational improvements.” TwinThread explains.

A virtual representation of production can give insight into its overall performance in real time, and creates an easier process of diagnosing potential issues or anomalies. 

“By visualizing your information through these ‘digital twins’, operationalizing insights happens faster and more accurately.” 

Uncovering insights within your data at a higher speed and with greater accuracy means optimizing the value your machine and human resources can deliver - resulting in maximum payback.

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