2011 smecluster event 1 smecluster event 2 … · 2020-02-27 · these projects received funding...
TRANSCRIPT
These projects received funding from the EuropeanUnion's Horizon 2020 research and innovation programmeunder grant agreement No 723336 and 825075
2011 – SMECLUSTER EVENT 1Cloud Computing & Factory Automation:Taking Business into the Next Generation
2013 – SMECLUSTER EVENT 2Take advantage of the Connected Business Community
2015 – SMECLUSTER EVENT 3The Connected Business Community 4.0:Service Based Software Economy
2017 – SMECLUSTER EVENT 4Pragmatically Stepping into the Twinned Digital World of 4IR:The fourth Industrial Revolution
2019 – SMECLUSTER EVENT 5Artificial Intelligence on the Shop Floor:Collective Intelligence+
Research to Product Realisation
• Introduction and background to AI and Technology
Developments and hypes
• The concerns around the growth of AI in all roles in business
and society
• Industrial Automation
• Every Technology goes
through the hype cycle
• Every Technology goes
through the hype cycle
• Augmented Reality was beginning its cycle 10 years ago
• Artificial Intelligence will go through the same cycle
• Difficult to understand the context of the term “Artificial Intelligence” as it is widely
used from shop-floor to board room
• Psychology and Philosophy increasing deployed in the science and technology
fields and lines of ethics, bias and reality blurring
• In the context of “human interaction” in office application, clinics and call centres,
we are too far away from “genuine human emotional response” (you write
algorithms to answer questions – not create themselves without a purpose –
remember the Microsoft paper clip?)
• In the context of shop floor systems, hardware, firmware, middleware and
programming systems will need to be completely overhauled to allow the
machines to make decisions based on the information available untested safety
implications of processes under their own control
DatabaseServices
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• Future business systems are predominately going to
be outsourced to cloud based companies
• Internal systems for recording processes will be
externally outsourced to pay per use apps for cost
advantages
• Machine and process data will be automatically
analysed and updated making Audit trails difficult to
follow (XAI – Explainable AI being developed)
• AI deployed systems will most certainly displace
jobs and potentially de-skill the workforce but create
a much larger service economy
• Smart Manufacturing – Robotics gaining popularity
• New jobs for robots – analytical processing
• Collaborative robots – removing the cage for low inertia
applications – Avoiding repetitive strain injury and other
complaints found in the manufacturing domain
• Adoption of failsafe systems
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Factory of the future – spotting the future
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• School curriculums are woefully outdated for future business
opportunities
• Workplace operational changes are being driven by rapid deployment of
Industry 4.0 developments bringing new revolutions (too fast for some
organisations to evolve)
• New Skills development required to deal with factories of the future –
interaction with the virtual world as much as the real
• Moving from the office to the shopfloor
• Replacing costly control systems user interfaces
• Auditing challenges when much of the data will be in the virtual world
• Sensor Connectivity easier to implement (see next slide)
• Artificial Intelligence is now being brought to shopfloor
providing new applications not previously considered
• Risk Assessment tools need to be developed but need to
understand employment law, personal rights (GDPR) and
technology advances
www.crema-project.eu24
• Tracking People and Assets around the workplace
• Sensor connectivity from multiple sources to provide
data on employees and safety critical operations
and restricted zone access
• GDPR issues to be addressed to implement
systems in the workplace
• Will costs significantly reduce to justify exoskeletal workers (Battery
Technology Developments major factor)
• Replace robots with exoskeletal workers as a cheaper option to full
automation
• What are the implications to employment contracts, health policies and
licensing for operating such equipment
• General Electric developed the first exoskeleton device in the
1960s. Called the Hardiman, it was a hydraulic and electrical
bodysuit, however, it was too heavy and bulky to be of military
use (Defense Advanced Research Projects Agency)
• Robotic exoskeletons have emerged as rehabilitation tools
stemming from spinal cord injury (SCI) research
• Future directions highlight the need to use exoskeletons in
conjunction with other existing and emerging technologies
similar to functional electrical stimulation and brain-computer
interface to address major limitations
• Beyond physical exoskeletons, there is an opportunity to
provide a virtual exoskeleton for the knowledge worker
• Exoskeletons focus on taking our human abilities and
increasing them using huge amounts of data and sophisticated
algorithms
• Operation liability of equipment – Risk policies to cover
workers
• Logistics operations – forklift replacement
• Rather than replacing workers, this mix of human skill
and AI will propel workers into faster and better
productivity across a wider range of outputs
• Physical Health – Long term liability issues