AI Solution

Real-time product prediction

DogWoodAI provides real-time product prediction solutions. AI solutions, developed from RTDB with physics information and first-principlemodel data, can give highly accurate product prediction results for unit process with dozens of sensors and total plant with thousands of sensors. Additionally, the solution offers detailed insights into the variables (tags) influencing product prediction.

The solution contributes to reducing production errors and costs, resulting from limited product sampling and manpower. The performance and reliability of the solution have been validated across multiple plant references with diverse operational scenarios such as catalyst decay, operational mode changes, feed variation, etc.

Real-time prediction of product quality

Operation analysis

DogWoodAI’s data analysis enables an in-depth evaluation of major variables (tags) across diverse operational scenarios, providing engineers with valuable insights into process/plant performance. It employs statistical approaches to deliver comprehensive analytical outputs, while also offering a deep analysis of the relationship between key metrics, such as yield, quality and operational variables.

The solution provides detailed assessments of how individual tags influence yield and quality, empowering engineers with information for process improvement. Additionally, the visualization tools allow clients to quickly identify trends for selected tags under varying conditions. By making it easier to understand the current state of operations, the solution supports effective process management for optimization and decision-making, ultimately enhancing both operational efficiency and productivity.

Operation data analysis at specified period

Optimization guide

DogWoodAI provides an Optimization Guide, offering precise operational recommendations to achieve target yield or quality. The solution also offers XAI (Explainable AI) to strengthen users’ confidence in the optimization reliability, illustrating how the optimized operating conditions influence yield or quality.

By delivering deep insights, the solution helps engineers efficiently overcome challenges that arise from complex operating conditions and the high level of decision-making required to reach desired yields or product quality. As a result, it goes beyond simple data analysis, delivering tangible value by improving plant productivity and operational efficiency.

Optimization guide for smarter and faster decisions with AI & real-time data

AI simulator

Conventional process simulators face limitations as reactor information is not available and specific processes are not converged, making simulations both complex and narrowly scoped.

DogWood_Simulator overcomes these challenges by employing an AI model trained on real plant data, optionally combined with physics-based and first-principlemodels. This user-friendly solution allows any engineer to predict desired product outcomes simply by adjusting control variables—unlike conventional simulators that typically require specialized expertise. Moreover, the simulator produces results within a second for single-unit processes and within a few seconds for entire plants, without any divergence issues, regardless of the number of variables and objectives.

With its enhanced usability, the DogWood_Simulator simplifies back-testing for various plant scenarios and provides highly accurate predictions of product results under different operational guidelines. Ultimately, it provides clients with actionable insights for improved process control and optimization.

Explainable AI simulator based on client input

Safety & maintenance analysis

Because there are so many sensors in the plant, it is difficult to predict abnormal phenomena and take preventive measures in the plant before an accident actually occurs. On the other hand, unnecessary anomaly detection causes great inconvenience to users.

DogWoodAI offers effective safety analysis by applying the advanced techniques and domain expert knowledge. The solution provides the safety analysis report for a user-defined period, regardless of the number of sensors. Users can efficiently pinpoint parts and areas within the plant where anomalies occur most frequently, while simultaneously accessing comprehensive analytics for these irregularities.

This integrated solution not only enables efficient plant maintenance but also significantly enhances the ability to respond to safety-related events.

Real-time safety analysis based on various tag data

Consulting for industrial AI solution challenges

DogWoodAI offers specialized consulting services for industries that have plans to build AI-driven autonomous manufacturing plants. By leveraging clients’ data, DogWoodAIconducts thorough assessments to evaluate the feasibility of AI solutions tailored to their specific needs.

For industries facing challenges in analyzing plant data, simulating existing or new processes, DogWoodAI draws on extensive expertise in physics-based and model-based methodologies. These consulting services help determine feasibility and reduce costs in developing AI solutions for the plant. If necessary, a technology consultant can propose new processes or modifications to enhance the efficiency existing or planned plants.

Consulting for industrial AI solution challenges

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