Applications & Use Cases · Study deck

Industry 4.0: Industrial Revolutions and Adoption

A factory has proved that one monitored machine can warn staff before a stoppage.

Blueprint Bina is your guide for this deck.

iiot
Blueprint Bina, the module guide, in a scene from this chapter.
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After studying this chapter

Learning objectives

You will be able to:

  • Explain: They also identify new composite industries such as precision agriculture, digital healthcare, and digital mining as sources of new roles while highly automated work reduces demand for some unskilled tasks.
  • Explain: An IIoT proposal should name which task moves to a machine, which decision remains with a person, which skill the new workflow requires, and how the operator can intervene.
  • Explain: The slides connect that shift to lower-cost automated tasks, human supervision of more capable machines, and workers whose roles increasingly require digital and analytical skills.
  • Explain: The named product examples make that boundary concrete.
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Major section

Steam to Cyber-Physical Systems

Electricity enables conveyor belts.

  • A Programmable Logic Controller (PLC) receives a digital blueprint, then automatically mills, drills, and shapes metal with zero human intervention.
  • Industry 4.0 (2011+): The same CNC machine now has vibration sensors detecting bearing wear 2 weeks before failure.
  • Industry 4.0's superpower is coordination - machines talking to each other and making decisions collectively.
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Major section

ISA-95 Automotive Integration

The plant must integrate OT on the factory floor with IT and enterprise systems following ISA-95 boundaries.

  • The challenge: Customer order change arrives at Level 4 (ERP) requiring panel type switch mid-shift.
  • That labelled limit reconnects the visual to isa-95 automotive integration.
Timeline showing the four industrial revolutions from mechanization to cyber-physical systems, with key technologies and productivity impacts at each stage.
Timeline showing the four industrial revolutions from mechanization to cyber-physical systems, with key technologies and productivity impacts at each stage.
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Major section

Connected Ecosystems Change the Work

The slides connect that shift to lower-cost automated tasks, human supervision of more capable machines, and workers whose roles increasingly require digital and analytical skills.

  • An IIoT proposal should name which task moves to a machine, which decision remains with a person, which skill the new workflow requires, and how the operator can intervene.
  • A robot that senses, reasons, and acts still needs a defined human-supervision boundary.
  • They also identify new composite industries such as precision agriculture, digital healthcare, and digital mining as sources of new roles while highly automated work reduces demand for some unskilled tasks.
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Major section

Hazards and Interoperability Stay in the System

Its hazard list includes hazardous substances, oxygen deficiency, particulates, radiation, and physiological stress.

  • Standardization is presented as the route to better system and application interoperability, with unresolved boundaries at semantic meaning, security and privacy, and radio access.
  • The named product examples make that boundary concrete.
Industry 4.0 Maturity Model - Most organizations don't jump directly to full Industry 4.0. This six-stage maturity model shows the typical progression path. Stage 1-2 (gray) represent foundational connectivity. Stage 3-4 (orange) enable visibility and understanding of operations. Stage 5-6 (teal/navy) achieve the predictive and autonomous capabilities that define true Industry 4.0. Organizations should assess their current maturity level and plan incremental improvements rather than attempting transformation all at once.
Industry 4.0 Maturity Model - Most organizations don't jump directly to full Industry 4.0. This six-stage maturity model shows the typical progression path. Stage 1-2 (gray) represent foundational connectivity. Stage 3-4 (orange) enable visibility and understanding of operations. Stage 5-6 (teal/navy) achieve the predictive and autonomous capabilities that define true Industry 4.0. Organizations should assess their current maturity level and plan incremental improvements rather than attempting transformation all at once.
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Deck summary

Key takeaways

Electricity enables conveyor belts.

  • The plant must integrate OT on the factory floor with IT and enterprise systems following ISA-95 boundaries.
  • The slides connect that shift to lower-cost automated tasks, human supervision of more capable machines, and workers whose roles increasingly require digital and analytical skills.
  • Its hazard list includes hazardous substances, oxygen deficiency, particulates, radiation, and physiological stress.
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Retrieval practice

Recall check

Blueprint Bina says: answer from memory, then check your reasoning.

Q1A manufacturing plant manager wants to implement Industry 4.0. They plan to add temperature sensors to 50 machines and log data to a spreadsheet for weekly review. Is this Industry 4.0?

AYes - adding IoT sensors to machines is the definition of Industry 4.0
BNo - Industry 4.0 requires real-time analytics, autonomous decisions, and system integration
CYes - any IoT sensors in a factory qualifies as Industry 4.0
DNo - Industry 4.0 requires replacing all equipment with new 'smart' machines
Show answer

Answer: B Correct!

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Print reference

Answers

Answer key.

  1. B · Correct!
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