Thomas Knight AST Technology System Monitoring Development

Thomas Knight
AST Technology
System Monitoring Development Engineer
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Define the Internet of Things, Machine to
Machine communication and Big Data
See how other industries are using these to
drive productivity and efficiency gains
Show how these concepts are being used to
drive decisions by Injection Molders, Mold
Builders and Mold Owners
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Internet of Things
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Node on a network
Access and control with tablet or smart phone
Home automation
10 billion devices (2011 Cisco)
40 billion by 2020
IPv6 (latest internet protocol) supports 128 bit
addresses
 2128 Internet IP addresses or 10 web addresses for each
atom on Earth
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M2M
◦ Machines communicating without needing human
interaction
◦ Example: Wind farms combine and optimize:
 Performance for each wind turbine
 Wind patterns
 Power generation needs
◦ Optimizes blade pitch and fan rotation and helps to
determine when maintenance is needed (5% output
gains)
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2.5 Quintillion bytes of data each day
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Big Data
◦ Capture, Store and Analyze Data to optimize results
◦ UPS On-Road Integrated Optimization and
Navigation (ORION)
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Information from 16 million daily packages
Telematics from over 45,000 vehicles
Optimizes pick-ups and deliveries.
2010-2012 saved 3 million gallons of fuel
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How does Internet of Things, M2M and Big Data
apply to molds?
How can data be used to drive the decisions
that you make about your molds?
The measures that we will view are
◦ Cycle Time
◦ Efficiency Percentage
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Data capture and analysis will utilize a realtime mold Monitoring system developed by
AST Technology
◦ CVe Monitor
◦ CVe Live
◦ Accumulate and present data in an actionable
format
CVe Monitor
• Battery Operated
• Parting-line Located
• No Maintenance
• Durable
• Able to operate in
many environments
Compare historical Cycle Time
and Efficiency percentage to
actual reading from previous
25,000 cycles
Life to date Cycle Time = 8.7 seconds
Most recent Cycle time = 9.6 seconds
10% Increase
Life to date Efficiency = 97%
Most recent Efficiency = 93%
4% Decrease
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CVe Live allows a mold to
become a Node on a Network
◦ CVe Monitor
◦ CVe Live Wireless Transmitter
◦ Send thru secured gateway to
secured database
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Gateway to database
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View worldwide operations in
real time
Alerts for out of tolerance
process
CVe Press Module
CVe Monitor
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Cycle times are typically set at sampling
Price is based on cycle time
Molder’s profitability hinges on cycle time
Mold’s maximum output is impacted
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Cycle time can increase during mold’s life
Causes decreased profitability
Leads to decreased maximum output
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Drives profitability and ability to meet
production goals
Molds that go into a press and run trouble
free will have high efficiencies
Molds that are subject to frequent stoppages
will have low efficiencies
Typically Efficiency percentages will decline
over the life of the mold
These are the shutdowns that typically aren’t
noticed, but it has a huge impact on profit
• Efficiency decreases from 98% to 90%
• Molds output reduced more than 8%
• Molds capacity drops more than 8%
• Possible outcomes:
• Capacity never needed, only molder impacted
• Capacity is needed, molder and owner impacted
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Internet of Things, M2M, Big Data are in their
infancy
Benefits for Molds
◦ OEM: discover mold’s maximum capacity, address
capacity restraints before realization
◦ Injection Molder: quantitative results identify slow
or inefficient molds that rob profitability
◦ Mold builder: demonstrate mold quality