Dynamic Instrument Workflow Optimization via Virtual Modeling
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Solution Overview
Problem
Conventional instrument workflows are static and cannot be dynamically adjusted during operation, leading to inefficiencies and potential failures when unexpected conditions arise, as they rely on pre-programmed instructions without real-time monitoring or optimization.
Innovation Solution
A system that includes instrument resources, sensors, and a computing device with a workflow builder, virtual system modeling engine, analytics engine, and execution engine to create, optimize, and execute instrument workflows in real-time, allowing for adjustments based on sensor data and user input to optimize resource utilization and handle variance conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a pre-programmed workflow is used for instrument system operation, then the system can execute specific functions with precise instructions, but the workflow cannot be optimized or adjusted during operation
Solution Approach 1:
The patent transforms the static pre-programmed workflow into a dynamic system that can be adjusted in real-time. Sensors continuously monitor instrument resources and sample chambers, feeding data to a virtual system model that dynamically optimizes workflow parameters during execution, allowing the system to adapt to changing conditions while maintaining reliable operation
Solution Approach 2:
The patent implements a feedback mechanism where sensors acquire data from instrument resources and sample chambers, which is then processed by an analytics engine to update the virtual system model. This closed-loop feedback enables continuous optimization of the workflow during operation, resolving the contradiction between reliable pre-programmed execution and the need for adaptive optimization
2Productivity
If real-time sensor monitoring and dynamic optimization are implemented, then workflow efficiency and adaptability are improved, but system complexity increases
Solution Approach 1:
The patent creates a virtual system model that is a digital copy of the physical instrument system. This virtual model receives sensor data and allows optimization calculations to be performed in the virtual domain, then applies optimizations to the physical system. This copying approach enables complex optimization without directly complicating the physical instrument system
Solution Approach 2:
The patent introduces several intermediary components: sensors as intermediaries between physical resources and the control system, a virtual system model as an intermediary for optimization calculations, and an analytics engine as an intermediary for processing sensor data. These intermediaries manage system complexity by distributing functions across multiple specialized components rather than one complex unit
Data Source
AI summary
A system and a method for dynamically optimizing an instrument system workflow based on operational monitoring and managing of a workflow for a hardware system. The system includes instrument resources and sample chambers, each resource and chamber with a dedicated sensor configured to acquire data. The system further includes a computing device communicatively connected to the instrument resources and sample chambers. The computing device includes a software application or program comprising a workflow builder, an execution engine, an analytics engine, a virtual system modeling engine, and an optional machine learning engine.