IIoT-资产绩效的游戏改变者（英文版）-2018.10-9页

Summary of "Improved Operational Profitability: Is IIoT a game changer in Asset Performance?"

Core Content

The document explores the evolving role of industrial maintenance and operations in maximizing operational profitability through the integration of Industrial Internet of Things (IIoT) technologies and real-time control systems. It emphasizes the need for a two-tier model that combines Asset Performance Management (APM) and Asset Performance Control (APC) to achieve safe, efficient, and profitable industrial operations.

Main Viewpoints

• Industrial maintenance has evolved from reactive to predictive strategies, with the latest focusing on asset performance management.
• The primary goal of industrial companies is to maximize profit safely, which requires a balanced approach between efficiency and reliability.
• Efficiency and reliability are inverse functions, leading to a conflict between maintenance and operations teams.
• Real-time information is essential for aligning these teams and driving profitable decision-making.
• Real-time accounting (RTA) systems, developed by Schneider Electric, enable the real-time measurement of financial metrics at the asset level, supporting profitability control.
• Unified real-time control strategies—combining process, safety, and reliability—can be extended to profitability control by integrating transactional management.
• IIoT technologies are transforming APM by enabling sophisticated data analytics, prognostics, virtual reality, and data mining to optimize asset performance.

Key Information

• Three generations of maintenance strategies:

  • Reactive maintenance
  • Preventive maintenance
  • Predictive maintenance

• Two-tier model:

  • Asset Performance Management (APM): Focuses on long-term planning and transactional management.
  • Asset Performance Control (APC): Focuses on real-time control and profitability optimization.

• Real-time control systems:

  • Process control: Maximizes efficiency.
  • Safety control: Ensures safe operation.
  • Reliability control: Maintains asset integrity.
  • Profitability control: Integrates all three to optimize business value.

• RTA systems:

  • Use sensor data and financial data.
  • Calculate energy and material costs, production value, and operational profitability in real time.
  • Enable real-time profitability control by empowering workers to make data-driven decisions.

• Challenges:

  • Conflict between efficiency and reliability.
  • Need for unified control strategies to align with business objectives.
  • Manual profitability control is effective but automatic systems are under development.

• IIoT Impact:

  • Enables advanced analytics and predictive insights.
  • Supports prognostics, virtual reality, and data mining for asset performance optimization.
  • Transforms APM into a data-driven, real-time process.

Figures and Their Significance

• Figure 1: Illustrates the efficiency-reliability conundrum.
• Figure 2: Shows how business metrics can balance efficiency and reliability.
• Figure 3: Depicts the three real-time control systems (process, safety, reliability) in industrial plants.
• Figure 4: Demonstrates how real-time information turns operators into profitability controllers.
• Figure 5: Highlights the unified real-time control strategy merging efficiency, safety, and reliability.
• Figure 6: Shows the three real-time control systems again, emphasizing their role in profitability.
• Figure 7: Illustrates the components of APM and how they align with control strategies.
• Figure 8: Depicts the interaction between APM and APC.
• Figure 9: Provides an expanded view of the profit engine, showing how profitability is influenced across management and control levels.

Conclusion

The integration of IIoT and real-time control systems offers a new paradigm for industrial profitability. By aligning APM and APC, and using real-time data, manufacturers can transform their operations into profit engines. This approach requires unified strategies, effective performance metrics, and real-time decision-making to maximize value while ensuring safety and reliability.

Author Information

• Dr. Peter G. Martin has over 37 years of experience in industrial control and automation.
• He has authored numerous articles, papers, and books.
• Holds multiple patents and has been recognized as a Hero of U.S. Manufacturing by Fortune.
• Received awards from Intech, ISA, and CRN for his contributions to automation and IIoT.

Additional Resources

• Igniting the Industrial Profit Engine – White Paper
• Profitable reliability – The next evolution of maintenance technology – White Paper