How can we make industrial control solutions more adaptable to changing environments?

Dynamic and intuitive machines are transforming the way businesses function in every industry. Industrial control solutions have traditionally not been k现在n for easy adaptation or inexpensive changes. Part of this has been related to the legacy structure of layered control technology. The existing technology monolith has dramatically improved overall performance but has also added a complexity that needs to be managed. To flexibly adapt, a new architecture and philosophy is required.

大趋势和颠覆

From the beginning of the Industrial Revolution, control systems have played a crucial role albeit providing advancements in mechanical and or pneumatic systems whereas 现在, 行业4.0’s digitalisation relies on intelligent, connected systems and has a potential to generate $3.在未来十年内将达到7万亿美元.

The companies who embrace and actively manage their digitalisation will succeed and find ways to add value to the enterprise. 新技术不是解决办法. The key is to find the transformations that add value and then leverage technology intelligently.

加速数字化转型

不能适应不断变化的环境, difficulty in managing multiple optimisation goals and inconsistency are just some of the limitations of existing control systems. 在木, we are deploying technology innovatively to empower our clients and driving digital transformation translating into significant business value.

• 使用控制模板: We identify the control strategies to meet client functional requirements and leverage these as flexible templates to right size the engineering effort.  我们工作, 例如, with Suncor on well pad development using Modular 类型 Package (MTP) concept resulting in an estimated cost savings of more than 50%. This project also was a winner of two Suncor President’s Operational Excellence awards.
• 重新发明控制算法: We are systems integrators but, more importantly, process control experts. We are active members of varied industry groups, including the Open Process Automation forum. We recognize the need for open systems with reengineered solutions and have established a Wood Function Block library, leveraging our decades of experience over a wide range of vertical markets.
• 使用实时成本控制: We have found that nothing stimulates highly effective decision making quite like an informed workforce.  Integrating real-time variable costs into operations screens results in a step change in both cost performance and an understanding of cost drivers. In places where the costs can be highly variable like power and natural gas, 这可能会改变游戏规则.
• 使用数字孪生: We have found that companies that leverage and actively maintain their engineering design data use data in more innovative ways.  They can provide easy access for ongoing learning and integrate it into optimization and simulation models to apply and grow their intelligence.
• Using machine learning and artificial intelligence: Both machine learning and artificial intelligence (AI) can be applied effectively to transform data into actionable intelligence and into autonomous operations. Leveraging AI to support intelligent control systems is key to realizing the opportunity that 行业4.0带来. A recent *study confirms 50% of companies that embrace AI over the next 5 – 7 years may double their cash flow. And manufacturers that implement intelligent systems achieve 17 – 20% productivity gains.
• 使用操作作为流程管理器: We also see a shift for the operations team to be the manager of the process, 而不仅仅是过程的“操作者”.  In places where a single product is manufactured in multiple locations, sharing technical and business data allows for a global optimisation of the assets.

前进的道路

引领前进的道路, 运营公司的生态系统, technology providers and service companies need to identify and execute breakthrough shifts in how the process and manufacturing industries are managed.  这种想法正在进行中，并且越来越受欢迎. 为了这场新的工业革命, 只有重新发明才足够, 这些不是简单的增量变化.

引用:

• Bringing autonomy for the industrial control system