18300122. SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTEGRATION WITHIN A PROCESS SIMULATION SYSTEM simplified abstract (HONEYWELL INTERNATIONAL INC.)
SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTEGRATION WITHIN A PROCESS SIMULATION SYSTEM
Organization Name
Inventor(s)
Kalyanasundaram Palavesh of Shencottai (IN)
Mahboubeh Hejazibakhsh of Atlanta GA (US)
Vijayamahantesh Karpurmath of Bangalore (IN)
Abhishek Manohar Pednekar of West Hills CA (US)
SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTEGRATION WITHIN A PROCESS SIMULATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18300122 titled 'SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTEGRATION WITHIN A PROCESS SIMULATION SYSTEM
The patent application describes a system for intelligent model integration in process simulation, where data from plant operations is used to train and deploy intelligent models.
- Data associated with plant operation is received.
- Specially configured algorithms are used to determine qualifying datasets for training intelligent models.
- The intelligent models are trained using the qualifying datasets.
- The trained intelligent models are deployed for use.
Potential Applications: - Process optimization in industrial plants - Predictive maintenance in manufacturing facilities - Quality control in production processes
Problems Solved: - Lack of efficient integration of intelligent models in process simulation systems - Difficulty in training intelligent models with relevant data - Inability to deploy trained models effectively in real-world applications
Benefits: - Improved efficiency and accuracy in plant operations - Cost savings through predictive maintenance - Enhanced product quality and consistency
Commercial Applications: Title: "Intelligent Model Integration System for Process Simulation" This technology can be utilized in various industries such as manufacturing, energy, and chemical processing to optimize operations and improve overall productivity.
Questions about Intelligent Model Integration System for Process Simulation: 1. How does this system improve the efficiency of plant operations? - The system uses intelligent models trained with plant operation data to optimize processes and make real-time decisions, leading to increased efficiency. 2. What are the key benefits of deploying trained intelligent models in industrial settings? - Deploying trained intelligent models can result in cost savings, improved product quality, and enhanced decision-making capabilities.
Original Abstract Submitted
Embodiments of the disclosure provide for intelligent model integration within a process simulation system. Some embodiments receive data associated with the operation of a plant, determine, using at least one specially configured algorithm and based on the received data, at least one qualifying dataset determined qualified to train an intelligent model, train the intelligent model using the at least one qualifying dataset, and deploy the trained intelligent model for use.
