Semantic Zooming for Process Simulation Data Navigation
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Solution Overview
Problem
Complex industrial processes generate overwhelming volumes of data, making it challenging to ensure efficient operation and detect inefficiencies, particularly due to the time-consuming nature of solving large systems of equations in simulation models.
Innovation Solution
A system that models industrial processes for simulation, allowing for accurate representation and identification of inefficiencies, with features like a three-mode simulator software program capable of steady state mass and energy balances, fluid flow network analysis, and dynamic simulation, facilitating the creation and sharing of complex process simulation models, and enabling the modification and customization of model types and equations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simulation models are used to accurately represent complex industrial processes, then measurement precision and reliability are improved, but solving large systems of equations becomes extremely time-consuming
Solution Approach 1:
The patent segments the simulation model into multiple hierarchical levels (e.g., unit operations, process sections, entire plant). Each level can be simulated independently or in combination, allowing the large system of equations to be broken down into smaller, more manageable subsystems that can be solved more quickly and efficiently.
Solution Approach 2:
The patent implements preliminary actions by pre-calculating and storing simulation results for common operating conditions and process scenarios. When performing simulations, the system can retrieve pre-computed data and combine it with current measurements, reducing the need to solve complete large systems of equations from scratch and significantly decreasing simulation time.
2Manufacturing precision
If detailed simulation models with large systems of equations are used, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent divides complex process models into modular unit operation models (e.g., distillation columns, heat exchangers, reactors) that can be independently configured, validated, and maintained. Each module has standardized interfaces and parameters, reducing overall system complexity while maintaining the ability to represent detailed manufacturing processes accurately.
Solution Approach 2:
The patent implements dynamic model complexity adjustment, allowing users to switch between simplified and detailed model representations based on the specific simulation needs. The system can adaptively select appropriate levels of model detail for different process sections, maintaining manufacturing precision where needed while reducing complexity in less critical areas.
Data Source
AI summary
A system displays simulation data on a canvas. Software instructions stored on a memory device and executable by a processor display a first set of simulation data on a canvas, the first set of simulation data corresponding to a first zoom level of the canvas. Instructions adjust the canvas from the first zoom level to a second zoom level. Instructions display a second set of simulation data on the canvas, said displayed second set of simulation data corresponding to the second zoom level of the canvas.