Power-Based Instrument Utilization Tracking Across Lab Platforms
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Solution Overview
Problem
Existing scientific instrument monitoring technologies face challenges in interoperability across different manufacturers, require manual user input, and are often incompatible with secure environments, leading to inefficiencies and inaccuracies in utilization tracking.
Innovation Solution
An automated system that tracks instrument utilization based on power consumption, using a power sensor to monitor and analyze power data, generating operational state criteria, and providing utilization information through a graphical user interface, compatible with multiple manufacturers and secure environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing scientific instrument monitoring technologies are used, then instrument utilization can be tracked, but interoperability across different manufacturers is poor and manual user input is required
Solution Approach 1:
The patent replaces manual mechanical data entry with automated electronic monitoring systems. Power sensors automatically detect and record instrument usage through electrical power consumption data, eliminating the need for manual user input while maintaining accurate utilization tracking across instruments from different manufacturers.
Solution Approach 2:
The system creates a universal monitoring platform that can track multiple types of scientific instruments from different manufacturers through a common interface. By monitoring power consumption patterns rather than manufacturer-specific protocols, the system achieves broad interoperability while automatically adapting to different instrument types.
2Measurement precision
If existing monitoring systems are deployed, then utilization data can be collected, but accuracy is reduced due to lack of automated tracking
Solution Approach 1:
The monitoring system enables instruments to self-report their utilization status automatically through power consumption measurements. The system self-calibrates by learning normal power patterns for different operational states, eliminating the need for manual verification and improving measurement accuracy through continuous automated tracking.
Solution Approach 2:
The system implements continuous feedback loops where power sensor data is constantly monitored, analyzed, and used to adjust utilization tracking accuracy. The system learns from historical power consumption patterns to distinguish between different operational states, improving precision over time through automated feedback mechanisms.
3Productivity
If manual utilization tracking is performed, then implementation is simple, but efficiency and accuracy deteriorate
Solution Approach 1:
The system performs preliminary automated setup by automatically configuring monitoring parameters for different instrument types upon initial connection. Power sensors are pre-calibrated to recognize standard operational power patterns, enabling immediate automated tracking without requiring manual configuration time while maintaining high efficiency.
4Adaptability or versatility
If existing monitoring technologies are used, then basic tracking is possible, but compatibility with secure environments is poor
Solution Approach 1:
The system introduces an intermediary monitoring layer that sits between the scientific instruments and the network infrastructure. Power sensors collect data locally at the instrument level without requiring instruments to have direct network access or execute external code, enabling deployment in secure air-gapped environments while maintaining reliable utilization tracking.
Data Source
AI summary
Disclosed herein are scientific instrument utilization tracking systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a method of tracking utilization of a scientific instrument may include: receiving, at a computing system, first data from a power sensor associated with the scientific instrument, wherein the power sensor monitors power consumption by the scientific instrument; generating, by the computing system based on the first data, multiple power consumption ranges associated with corresponding operational states of the scientific instrument; receiving, at the computing system, second data from the power sensor associated with the scientific instrument; and outputting, by the computing system, indications of the operational states over time of the scientific instrument based on the second data and the power consumption ranges.


