2018-IIoT_资产绩效的游戏改变者（英文版）

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

Core Content

This document explores the evolving landscape of industrial operations, emphasizing the need for a new philosophy and methodology to improve operational profitability through the integration of Industrial Internet of Things (IIoT) technologies. It outlines the transition from traditional maintenance practices to more advanced asset performance management and control systems.

Main Viewpoints

• Industrial Maintenance Evolution: Over the past two decades, maintenance strategies have evolved from reactive to preventive and now to predictive. This shift has increased the sophistication of how industrial assets are managed.
• Asset Performance Management (APM): APM is a more advanced term than traditional maintenance management, indicating a broader and more integrated approach to managing industrial assets.
• Efficiency vs. Reliability Conflict: There is a fundamental tension between maximizing efficiency (production throughput) and reliability (equipment longevity), often leading to conflicting priorities between maintenance and operations teams.
• Real-Time Information and Profitability: Real-time data is crucial for making informed decisions that drive profitability. The document introduces the concept of Real-Time Accounting (RTA), which combines sensor data with financial metrics to provide real-time profitability insights at the asset level.
• Unified Control and Management Strategy: To maximize profitability safely and reliably, a unified model that integrates profitable efficiency, profitable safety, and profitable reliability is necessary. This model aligns control and management functions across the plant and enterprise levels.
• Role of IIoT: IIoT technologies are enabling the transformation of asset performance management by providing advanced analytics and real-time insights, allowing for more proactive and data-driven decision-making.

Key Information

1. Evolution of Maintenance Strategies

• Reactive Maintenance: Waiting for equipment failure before taking action.
• Preventive Maintenance: Scheduling maintenance based on predicted failure times.
• Predictive Maintenance: Using sensor data to forecast failures and schedule maintenance accordingly.

2. Two-Tier Model for Profit Maximization

• Asset Performance Management: Focuses on long-term asset performance and value contribution.
• Asset Control: Involves real-time decision-making to optimize operational performance within safety and reliability constraints.

3. Real-Time Accounting (RTA)

• RTA integrates sensor data and financial metrics to calculate energy and material costs, production value, and operational profitability in real time.
• It enables better decision-making by providing actionable business measures at the asset level.

4. Unified Real-Time Control Strategy

• The integration of process control, safety control, and reliability control into a single strategy helps to balance efficiency, safety, and reliability.
• This unified approach ensures that operational profitability is maximized while maintaining safe and reliable operations.

5. Role of IIoT in Asset Performance

• IIoT enables advanced analytics and real-time insights, supporting the transition from traditional to modern asset performance strategies.
• Emerging techniques such as prognostics, virtual reality, and data mining are enhancing the ability to optimize industrial operations.

6. Transactional Management and Control

• Transactional management strategies operate on longer timeframes and are essential for coordinating with real-time control systems.
• APM and asset performance control must work together, with APM providing set points and control systems maintaining optimal operation.

Conclusion

• A unified model combining asset performance management and control is essential for maximizing operational profitability.
• Real-time information and IIoT technologies are critical in achieving this goal, enabling more informed and coordinated decisions across the organization.
• The future of industrial operations lies in leveraging these technologies to transform production into a profit engine.

Figures Summary

• Figure 1: Efficiency and reliability are inverse functions.
• Figure 2: Using business metrics balances efficiency and reliability.
• Figure 3: Three real-time control systems (process, safety, reliability) are used to maximize efficiency.
• Figure 4: Real-time data transforms operators into profitability controllers.
• Figure 5: Four control types merge into a single, unified strategy.
• Figure 6: A simplified version of the unified control strategy applied to industrial assets.
• Figure 7: Transactional management strategy has similar components to control strategy.
• Figure 8: APM systems provide set points for control strategies.
• Figure 9: An expanded view of the profit engine, integrating profitable efficiency, reliability, and safety.

Author and Resources

• Author: Dr. Peter G. Martin, with over 37 years of experience in industrial control and automation.
• Resources:
  • "Igniting the Industrial Profit Engine" – White Paper
  • "Profitable reliability – The next evolution of maintenance technology" – White Paper