Process control plays a dominant role in driving your company’s bottom line. Every time an operator makes a set point change, it can affect plant profitability.
For over 40 years industry has invested significant resources in process optimization, from early PID systems to modern APC and AI analytics. But the truth is that industrial complexity has been growing faster than technological solutions can scale — until now.
New technological breakthroughs within AI have enabled intelligent process optimization solutions to tackle modern industrial challenges.
Industrial complexity has been growing faster than technological solutions can scale.
Improving the productivity of a plant by using advanced technologies to increase production rates while keeping costs and environmental footprint down is a continuous goal of a plant manager. Traditionally, a common approach has been to invest a lot of resources in implementing modern process control systems such as MPC, MLC, expert-based systems, fuzzy logic, genetic algorithms, and so forth. Such systems are usually referred to as APC (Advanced Process Control).
To improve productivity, a common approach has been to apply Advanced Process Control (APC) solutions.
Traditional APC solutions do not scale to the challenges of industry, suffer from performance degradation, and have a high cost of ownership.
APC solutions offer considerable benefits right after installation, but suffer from a slow degradation of performance over time. The reason for this is that APC solutions have always been challenged by the very nature of industrial processes, which are dynamic and high-dimensional. What’s more, the realities of industry—degradation of equipment, replacement of instruments, and frequent reconfiguration of production and recipes—make the challenge even greater. APC software makers struggle to close the gap, but outcomes are often far from optimal.
Key difficulties with traditional process control systems
Industry is continuously changing, while traditional industrial solutions are static and require high investment and expertise to operate and to adapt to new dynamics, resulting in a high cost of ownership. Simply, traditional process control systems do not scale to the challenge.
SentianController is based on new generation of Artificial Intelligence (AI) with a focus on goals to secure the long-term success and sustainability of your industrial process.
SentianController learns the details of your process on its own, freeing you to set the high-level objectives. It’s the outcome that matters.
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SentianController addresses competitive opportunities and threats, efficiency, and pain points — all with a compelling, measurable return on your investment.