2. INTERNET OF THINGS (IOT):
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The Internet of Things (IoT) describes physical objects
embedded with sensors and actuators that communicate
with computing systems via wired or wireless networks—
allowing the physical world to be digitally monitored or
even controlled.
3. INDUSTRIAL INTERNET OF
THINGS (IOT):
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• In the world of manufacturing, this technology is
often referred to as the Industrial Internet of
Things(IIoT).
• Manufacturers are attaching sensors to machines
and other physical assets on the plant floor to
collect data which influences decisions real time and
leads to increased efficiency and productivity.
4. CYBERSECURITY:
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• Cybersecurity is responsible for providing
protection to the stored information, either on a
device, or on the network.
• The system is capable to protect the information
from threats like computer strikes, or even from
physical kind of threats.
5. CLOUD COMPUTING:
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• With the advent of IoT and Industry 4.0, the reality is
that data is being generated at a staggering speed
and at high volumes, making it impossible to handle
manually. This creates a need for an infrastructure
that can store and manage this data more efficiently.
• It enables organisations to use computer resources
without having to develop a computing infrastructure
on premise.
6. IOT FOR SMART
MANUFACTURING:
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• Smart manufacturing accelerates productivity,
increases efficiency, minimizes delays and
provides a competitive edge for businesses.
• Smart manufacturing is enabled by IoT connected
devices, big data, data analytics, robotics,
machine learning, sensor technologies, and
artificial intelligence.
7. INFLUENCE OF IOT ON
PREDICTIVE MAINTENANCE:
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• The study states that worldwide, only 18% of equipment
has failed due to its age, while 82% of failures occur
randomly. It proves that a time-based approach is not
cost-effective.
• An IoT-based predictive maintenance solution can help
to predict potential damage by collecting data from
ultrasonic and vibration sensors attached to the spindle.
Analyzing the collected data helps to identify fragile
spindles before they break.
8. INFLUENCE OF IOT ON
PREDICTIVE MAINTENANCE:
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• Next-gen manufacturing equipment uses built-in
sensors and sophisticated programming to perform
predictive analytics and forecast potential issues before
they happen.
• Predictive maintenance capabilities will alert operators
when a component needs attention or repair, reducing
the need for ongoing inspections.
9. DARK FACTORY:
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A lights-out factory, also called a
dark factory, is one where requirements
for human activity are so minimal that
the facility can operate in the dark with
zero human intervention onsite.
10. REQUIREMENTS FOR
DARK FACTORY:
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• Advancements in robotics, automation and 5G
• Innovative processes like 3D printing
• Advancements in automated nondestructive inspection
and quality technologies
• Operational technology (OT) that conducts unattended
production processes
• Virtual reality (VR) and augmented reality (AR)
technologies designed for industrial applications
11. BENIFITS OF DARK FACTORY:
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• Reduced labor costs
• Automation of monotonous processes
• Agility and flexibility to meet changing demands
• Reduced error rates
• Material management efficiencies
• Accelerated product lifecycles
• Faster replication of processes to new sites