Acquisition Platform for Analytical Instrument Data Interoperability
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Solution Overview
Problem
Research and clinical facilities face challenges in seamlessly acquiring, processing, and sharing data across different analytical instruments from various manufacturers, due to proprietary applications and disparate control systems, leading to inefficiencies and operator complexity.
Innovation Solution
An acquisition platform is introduced, featuring interfaces and components that facilitate data system interactions with analytical instruments, allowing for standardized instrument control, data management, and interoperability, enabling loose coupling between data and instrument systems, and enabling remote monitoring and diagnostics through IoT and cloud-based analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary applications and disparate control systems are used for different analytical instruments, then each instrument can be controlled with manufacturer-specific optimizations, but data interoperability and seamless acquisition across instruments deteriorate
Solution Approach 1:
The patent introduces an acquisition platform as an intermediary layer between analytical instruments and data systems. This platform provides standardized interfaces that mediate communication, allowing proprietary instruments to interact through common protocols without losing their individual control capabilities or data integrity
Solution Approach 2:
The acquisition platform implements universal interface standards that enable multiple different analytical instruments to be controlled and accessed through a single standardized system. This multi-functional approach allows the same interface to work across diverse instrument types while maintaining manufacturer-specific optimizations
2Adaptability or versatility
If multiple different analytical instruments are deployed in a facility, then flexibility and choice in carrying out analyses are improved, but operator complexity and training requirements worsen
Solution Approach 1:
The acquisition platform provides a universal control interface that works across all analytical instruments in the facility. Operators interact with a single standardized system regardless of the specific instrument type, maintaining analytical flexibility while eliminating the need to learn multiple proprietary interfaces
Solution Approach 2:
The system separates instrument-specific control logic (handled by the acquisition platform) from operator interaction (handled by the standardized interface). This segmentation allows complex instrument capabilities to be accessed through simple, consistent commands
3Manufacturing precision
If proprietary applications are used for data processing, then manufacturer-specific data quality and processing optimization are improved, but data sharing and collaboration across facilities deteriorate
Solution Approach 1:
The acquisition platform acts as a mediator that receives processed data from proprietary applications and transforms it into standardized formats. This allows manufacturer-specific processing optimizations to be preserved while enabling seamless data sharing across different facilities and systems
Solution Approach 2:
The system creates standardized data copies from proprietary processed results. These copies maintain the quality and integrity of the original manufacturer-processed data while being compatible with external systems and sharing protocols
Data Source
AI summary
Techniques and apparatus for executing jobs for performing analytical methods are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to receive a job request from a data system to perform a job, and determine an acquisition system to perform the job, the acquisition system to determine at least one task for the job, provide the at least one task to a task sequencer to coordinate performance of the at least one task, and provide data artifacts to the data system resulting from performance of the at least one task. Other embodiments are described.