TQS Integration announces launch of their latest software release, ODIN, empowering the connectivity of real time data with cloud-based systems, machine learning and AI platforms in an easy, secure, and affordable way. This newly developed software enables TQS to help their customers achieve process manufacturing advances and propel towards industry 4.0.

Equipped with an easy to use, web-based interface, cloud data transfer through ODIN allows for real time and on-demand data egress to enable machine learning and supports multiple source and destination platforms. ODIN is compatible with both OSIsoft PI and Wonderware historians, allowing efficient and secure transfer of valuable information from multiple historians to cloud-based destinations including Amazon S3, Microsoft Azure Data Lake Gen 2, IOT Hubs, Event Hubs, SQL Server and more.

Cloud Data Transfer

"We are very excited about what ODIN can do for our customers to provide an easy-to-use tool to solve the need for automated data extracts and remove the time-consuming process of extracting and contextualizing data. ODIN will allow that valuable time to be refocused back to data science and empower analytics and Industry 4.0.” says Emmett O’Connor, Global Head of Product Development at TQS."

The complex nature of cloud data transfer is now made easy as ODIN automatically aggregates, filters, contextualizes and delivers formatted real time information efficiently via a user-friendly GUI (Graphic User Interface) that enables ease of monitoring job success. In-built auditing and distributed agent’s nodes also ensure configurations are monitored for compliance, while transfers are seamless, secure, and scalable.

ODIN can help manufacturing companies to prepare compliance and regulatory reports, run predictive advanced analytics, integrate operations information with business information, ultimately gaining valuable insights to make optimized business decisions and cost savings. This tool allows TQS to deliver competitive advantage in digital transformation for their clients.  

"ODIN enables companies to make key business decisions and operational improvements through the utilization of existing data – it brings Industry 4.0 and digital strategies to the next level. This further strengthens our position as the industry leader in data intelligence. TQS has seen significant expansion in recent years, more than doubling staff numbers over the past two years, and we are planning to add an additional 50 jobs in the next 12 months to support our continued growth" comments Korie Gleeson, COO at TQS.

About TQS Integration

TQS Integration is a global data intelligence company providing turnkey solutions in system architecture and application design, engineering, system integration, project management, commissioning and 24x7 “follow the sun” support services to valued customers. TQS is at the forefront of data intelligence for over 20 years, working with an extensive client base in the Pharmaceutical, Life Science, Food & Beverage, Energy and Renewables industries. As the go-to partner for data collection, cloud data transfer, contextualization, visualization, analytics, and managed services, we are the main drivers in the world’s leading companies — helping them become leaders in Industry 4.0.

For information, please contact us.

Digital transformation

TQS is delighted to announce a new strategic partnership with Seeq. This partnership with one of the Global Leaders in Data Analytics Software allows TQS to help their customers accelerate digital transformation and monetize the benefits of Industry 4.0.

Seeq software applications, Seeq Workbench and Seeq Organizer, enable manufacturing organizations to rapidly analyse, predict, collaborate, and distribute insights to improve production outcomes. Seeq is designed to run on-premise, on Microsoft Azure or Amazon Web Services cloud platforms, or in mixed on-premise and on-cloud deployments encouraging digital transformation.

“We are proud to confirm our partnership with Seeq that brings together expert authority in advanced process analytics. Together we can empower our customers with smart operational insights which improve process manufacturing efficiency for them”, comments Alan Bourke, Global Head of Business Development for TQS.

Being certified partners of Seeq further enhances TQS partner network. This allows them to collaborate with clients to help define their data infrastructure and digitalization roadmap, the cornerstone to any Pharma 4.0 initiative.

“Thought leaders like TQS Integration with local customer and vertical market expertise are critical to the success of Seeq,” adds Will Knight, Head of Partner Sales for Seeq. “Our customers rely upon them to deliver advanced analytics solutions that provide insight and drive results”.

“We have also invested in building out our Data Analytics Team to bring Data Modelling capabilities to all our customers, so they now have the all-encompassing, best-in-class, suite of products, and services to ensure that they overcome their data challenges in their organization through innovative solutions that promote digital transformation”, says Paul Power, Global Head of Engineering for TQS.

Seeq provides in-depth and advance process data applications which are key to deliver accurate diagnostics and predictive analytics. With the help of the right partnerships, TQS is committed to improve process performance and drive operational excellence for their customers.

About TQS Integration

TQS Integration is a global data intelligence company providing turnkey solutions in system architecture and application design, engineering, system integration, project management, commissioning and 24x7 “follow the sun” support services to valued customers. TQS is at the forefront of data intelligence for over 20 years, working with an extensive client base in the Pharmaceutical, Life Science, Food & Beverage, Energy and Renewables industries. As the go-to partner for data collection, contextualization, visualization, analytics, and managed services, we are the main drivers in the world’s leading companies — helping them become leaders in Industry 4.0 and preparing them for digital transformation.

For information, please contact us.

About Seeq Corporation

Founded in 2013, Seeq publishes software applications for manufacturing organizations to rapidly find and share data insights. Oil & gas, pharmaceutical, specialty chemical, utility, renewable energy and numerous other vertical industries rely on Seeq to improve production outcomes, including yield, margins, quality, and safety. Headquartered in Seattle, Seeq is a privately held virtual company with employees across the United States and sales representation in Asia, Canada, Europe, and South America. 

For more information about Seeq, please visit www.seeq.com.

TQS Integration is proud to be data partners with four of the global pharmaceutical companies currently at the forefront of the development and manufacturing of a Covid-19 vaccine.

The rapidly-deploy, scale-up and produce model has emerged over the past few months, to facilitate the efficient production of the Covid-19 vaccine. This is a major step forward in the evolution of vaccine technology. At the heart of this evolution is sound data, and a patient centric approach, which includes product quality, safety, and data security.  All this rely upon the integrity of vast amounts of big data generated throughout the product lifecycle. “TQS is a key enabler in automated data collection, then getting the relevant data to our scientists.” comments senior Pfizer engineer.

TQS have data intelligence specialists who provide expertise in all areas of data integrity and data analytics to the Life Science sector. They also provide OSI PI software engineering integration services, software development services, and data solutions to each of the top 12 pharmaceutical companies worldwide.

“We are extremely proud to play a part in this fight against the global pandemic. We see our role as fundamental in the quick and efficient manufacturing of these wonderful vaccines which will help protect people all over the world. Our expertise in data and manufacturing excellence has helped to ensure that our clients can deliver on quality, price, and speed.” Says Alan Gallagher, Global Account Manager at TQS.

About TQS Integration

TQS Integration is a global data intelligence company providing turnkey solutions in system architecture and application design, engineering, system integration, project management, commissioning and 24x7 “follow the sun” support services to valued customers. TQS is at the forefront of data intelligence for over 20 years, working with an extensive client base in the Pharmaceutical, Life Science, Food & Beverage, Energy and Renewables industries. As the go-to partner for data collection, contextualization, visualization, analytics, and managed services, we are the main drivers in the world’s leading companies — helping them become leaders in Industry 4.0.

For information, please contact us.  

Have you ever wondered if it were possible to predict process conditions in manufacturing? Know what is likely to happen before it actually happens in your business processes? Digital Twin might just be your answer.

There are several different definitions of Digital Twins or Clones and many use them interchangeably with terms such as Industry 4.0 or the Industrial Internet of Things (IIOT). Fundamentally, Digital Twins are digital representations of a physical asset, process or product, and they behave similarly to the object they represent. The concept of Digital Clones has been around for some time. Earlier models were based on engineering principles and approximations, however they required very deep domain expertise, were time consuming and were limited to a few use cases.

Today Digital Clones are virtual models that are built entirely by using massive historical datasets and Machine Learning (ML) to extract the underlying dynamics. The data driven approach makes Digital Clones accessible for a wide range of applications. Therefore, the potential for Digital Twins is enormous and includes process enhancements\optimization, equipment life cycle management, energy reductions, safety improvements just to name a few.

Building digital clones require:

1.      A large historical data set or data historian

2.      High data quality and sufficient data granularity

3.      Very fast data access

4.      A large GPU for the model development and real time predictions

5.      A supporting data structure to manage the development, deployment, and maintenance of ML models

The following shows the application of a Digital Twin to a batch process example. The model is built with 30 second interpolated data using a window of past data to predict future (5 min) data points:

So, what’s all the hype of Digital Clones? Well, not only are they able to predict process conditions, they also provide explanatory power on what drives the process - the underlying dynamics. The following dashboard shows a replay of this analysis including the estimate of the model weights:

Conclusion

In summary, the availability of enterprise level data historians and deep learning libraries allow Digital Clones to be implemented on the equipment and process level throughout manufacturing. The technology allows a wide range of applications and offer an insight into the process dynamics that were not previously available.

Please contact us for more information.

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