Applications around the Industrial Internet of Things (IIOT) have mushroomed and each one comes with a different set of capabilities and features. So how do you compare different applications or services? And how does the new solution fit into your existing data architecture?
In general, industrial internet of things architectures fall into three categories: (1) on-premise, (2) cloud based or (3) a hybrid of the two. In the on-premises solution, data are never leaving the manufacturing network, whereas in the cloud solution all data are directly send to the cloud. In the hybrid solution, a subset of the data is replicated to the cloud and used for analysis.
Today, many industrial internet of things applications fall into the hybrid category and lead to a scenario where some applications will execute on-premise and others in the cloud. To choose the right blend of on-premise and cloud functionality, let’s consider the following key metrics:
For regulated industries, there is often a requirement that the compressed timeseries is identical between two components.
For a sequential system, the calculation is as follows:
R=R1×R2×R3× ... ×Rn=ΠRj
As an example, if a system has four components with a reliability of 95% each, the overall reliability drops to 81.4%.
Making the same system redundant increases the overall system reliability to:
R=1-(1-R1)×(1-R2)×(1-R3)× ... ×(1-Rn)=1-Π(1-Ri) or 96.6% using Ri=81.4%
Highbyte is providing in flight data contextualization on the edge. This opens the door for very flexible and dynamic solutions.
Most of the protocols are equipment centric, missing relational information (one-to many and many-to-one) and time segmentation. Microsoft’s Digital Twins Definition Language (DTDL) is a relative new approach that has the potential to bridge the gap.
Industrial internet of things apps range from pure on-premises to all cloud-based solutions. On-premises architectures typically provides a higher system reliability and lower latency, while cloud-based solutions offer scalability, flexibility, and wide range of readily accessible data analytics. As a result, manufacturing IT will most likely have a blend of both, where process level analysis will run on premise and enterprise level analytic in the cloud.
Current connectors do not provide a complete manufacturing process model, industrial strength data compression, and redundancy necessary to seamlessly integrate into existing on-premises data architectures. But this is changing quickly and new approaches of in-flight contextualizer are closing the gap quickly. The goal being to better understand and utilize industrial internet of things data.
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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.
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.