DEEP LEARNING PROCESS CONTROL

Automate real-time process adjustments

Go beyond open-loop recommendations and maximize your profitability with real-time, cross-unit process optimization
Closed-loop process optimization platform

Your truly dynamic controller is deployed and integrated to make real-time, cross-unit adjustments to optimize your objective function in the face of ever-changing feed compositions, product prices, and operational constraints. Our closed-loop optimization technology is truly dynamic, supports any process control or advanced process control footprint, and gives your engineers the required confidence in the predictive accuracy of your pre-optimized dynamic controller.

Pre-optimized dynamic controller

Our proprietary controller design platform is where we define and update your manipulated variables, constraints, objective function, and real-time stream pricing to pre-optimize and continuously improve your truly dynamic controller.

Open-loop simulations

Your team can visualize the dynamic controller moves and predictions in every desired historical period, run what-if simulations for various operating scenarios, and fully validate the controller’s behavior before commissioning the controller in closed-loop.

Process control network software

We install, configure and continually support your controller inside your air-gapped secure network. Our on-premise software is fully compliant to process control network cybersecurity and reliability requirements and supports all major DCS vendors.

Imubit is not like other optimization software. Their user-friendly screens allows me to see what the optimizer is doing and the intuitive prediction plots mean that I always understand which moves the unit will make. Having an accurate prediction of my most critical target has completely changed the way I operate the unit.”

– Control board operator

An interconnecting neural network aligns all teams and stakeholders

lmubit is built for hydrocarbon processors who are looking for new ways to unlock margin from their assets. Unlike AI solutions that are bolted onto your existing methodologies, procedures and technologies, Imubit’s Closed Loop Neural Network™ crosses process unit and plant area boundaries. It flows through the traditional layers and interconnects all of the various teams. This allows everyone to speak the same language and drive towards a common economic goal. It manipulates carefully selected key variables by interconnecting real-time product prices with process constraints and economically critical properties. Instead of each team managing its own model in a discrete stack layer, all of the various disciplines interface with the Closed Loop Neural Network™.  

Planning and economics feed direct real-time product and feedstock prices directly into the neural network. Process engineers input true unit operational constraints along with known process relationships. Process control engineers manage the interaction between the neural network and the existing advanced process control (APC) and distributed control system (DCS). Operators interact with the neural network on a 24/7 basis, constraining it to their desired bounds and limits in real time to allow for a safe and compliant closed-loop operation.

Hydrocarbon processing expertise

Our solution is built on over 220 years planning and economics, process engineering, process control engineering and operations at refining and chemical plants.

Closed-loop optimization

We go beyond open-loop data-driven insights, predictions, and recommendations. Our solution integrates to your plant and optimizes your process in closed-loop.

Deep reinforcement learning

Our interconnected AI solution is built on a deep reinforced learning architecture that uses your minute-by-minute data for real-time process optimization.

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