May 17, 2019
*This episode of the Industrial IoT Spotlight Podcast is
sponsored by PTC.
In this episode of the IIoT Spotlight Podcast, we discuss
machine vision related to core components of testing and
measurement systems, and importance of IoT data management
- The objective of connecting assets and making sense of data is
to convince customers that the systems are built and work to do to
the job as they are expected to do, by validating the quality of
the design or the manufacturing process.
- The best way to build a system is to have all assets with open
communication standards. Communication protocols evolve – new
protocols are built and existing protocols are upgraded to
different versions. Sometimes, standardized protocols evolve to a
stage where it is extremely difficult to communicate with other
standardized protocols. In that scenario, it is necessary to
reinvest in new components.
- Manufacturers in slower moving industries can learn from faster
moving industries by adapting proven technologies.
- Successfully applying machine vision technologies depends on
acquiring and saving the right set of data to solve current and
future problems, regardless of the sources of the problems. The
applications are very unique as the operating environments are very
different and will deeply affect the final systems and processes,
even if the methodologies remain the same.
- Storing data for machine vision technologies depends on the
standards in place. There are 2 main types:
- Existing clear standards and structure: The technologies used
will only need to comply with the requirements and connect the
machine vision tool to the exciting solution to ensure that the
data flow works well.
- No clear existing standards: The goal is to move towards
connecting all assets first, before doing any data work. In this
case, PTC Thingworx is the best choice as it can be used as a
substitute for a standard platform for connections across disparate
systems. It delivers immediate value for asset management by
connecting many assets without transitioning custom or separate
databases and analyzing the data flow to generate insights. It also
works well for system integrators and consultants as they will own
the intellectual property of all apps developed on it, which can
then be used for other customers.
- Managing processes is critical to successful system
deployments. From design to manufacturing, quality is key.
Processes involving the operations of, and data generated at, each
stage must be accessible and disseminated across the entire
enterprise so that suitable actors can take action for correction
JL Beaudoin is the VP of Platforms & Innovation at Averna. He
combines product management skills and international sales
experience to spearhead innovation at Averna. He is also leading
the PTC ThingWorx partnership to ensure that Averna’s customers and
benefit from the flexibility and value of the platform in order to
reach their goals with their industry 4.0 requirements – including
real-time visibility and optimized asset management at their
facilities. Averna is a Test Engineering leader, delivering
innovative test expertise and quality solutions for numerous
clients in wide-ranging industries around the world. https://www.averna.com/en/home/
For more information on PTC’s solutions for manufacturing,
please visit: http://www.ptc.com/en/industries/manufacturing/
Accelerating the Industrial Internet of Things. IoT ONE is
an insights and advisory firm focused on helping companies manage
the threats and opportunities presented by the Internet of