Cloud Analytical System for Nonlinear Data Analysis
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Solution Overview
Problem
Traditional analytical systems require specialized training, physical infrastructure, and significant resources, limiting accessibility and accuracy, especially for non-linear data analysis and user-friendly result dissemination.
Innovation Solution
A cloud-based analytical system with a data acquisition device, universal calibration model, and user-friendly interface allows remote access and processing of data, using classification and quantification procedures to handle non-linear responses and provide accessible results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laboratory tests are used to analyze material properties, then measurement precision is maintained, but device complexity and ease of operation worsen due to requiring specialized training, physical infrastructure, and significant resources
Solution Approach 1:
The patent creates a virtual copy of the traditional laboratory analysis system through software simulations and computational models. The virtual laboratory replicates the functionality of physical equipment (spectrometers, chromatographs, etc.) using software-based instruments that process spectral data through virtual analytical methods, eliminating the need for expensive physical infrastructure while maintaining analysis capabilities
Solution Approach 2:
The patent replaces mechanical and physical laboratory systems with computational and software-based systems. Traditional wet chemistry methods, physical spectrometry, and mechanical sampling are substituted with algorithmic processing, digital spectral analysis, and automated data interpretation, transforming a physically complex system into a computationally simple one
2Measurement precision
If traditional laboratory tests are used to analyze material properties, then measurement precision is maintained, but ease of operation worsens due to requiring specialized training and expert knowledge
Solution Approach 1:
The patent implements self-service capabilities through automated sample identification, automatic method selection, and self-calibrating algorithms. The system autonomously performs data processing, applies appropriate analytical methods without user intervention, and generates interpreted results, allowing non-experts to conduct complex analyses without specialized training
Solution Approach 2:
The patent introduces an intelligent software intermediary that translates between raw spectral data and meaningful results. This intermediary layer includes automated interpretation algorithms, reference library matching, and result validation systems that bridge the gap between complex analytical data and user-friendly outputs, eliminating the need for users to understand underlying analytical chemistry principles
3Ease of operation
If conventional analytical systems are used, then linear response analysis is achieved, but reliability worsens when dealing with nonlinear data responses
Solution Approach 1:
The patent implements dynamic adaptability by enabling the system to automatically adjust its analytical approach based on the characteristics of the input data. The software detects whether responses are linear or nonlinear and dynamically selects appropriate mathematical models and calibration methods, allowing the system to handle diverse data types without requiring users to understand the underlying mathematics
Solution Approach 2:
The patent employs parameter changes by transforming the analytical approach based on data characteristics. When nonlinear responses are detected, the system automatically applies nonlinear regression techniques, polynomial fitting, or machine learning algorithms instead of simple linear calibration, thereby maintaining high prediction accuracy across different response types without increasing operational complexity
4Measurement precision
If results are made available only through traditional laboratory systems, then measurement precision is maintained, but loss of information worsens due to limited user access and incomprehensible formats for non-experts
Solution Approach 1:
The patent adds a new dimension to result delivery by transitioning from traditional physical laboratory reporting to multi-platform digital dissemination. Results are made accessible through web interfaces, mobile applications, and cloud-based platforms, allowing users to access analytical results from any location and device, thereby eliminating geographical and institutional barriers to information access
Data Source
AI summary
A method of analysis, analysis system, apparatus, program product and method of supplying analysis of value that incorporates at least one data acquisition device, a central processor which may be located in the cloud with storage capacity and user-friendly interface on any web-enabled device with a communication link between the data acquisition device and the central processor and the central processor and the user interface on a web-enabled device. In the central processor, models of calibration predict values of the properties of interest; a classifier interrogates data to minimize errors in cases that the response variable is nonlinear by writing equations to follow each data segment; and a quantifier associates a data class with a specific pre-determined calibration model to compute specific parameters of interest. Results of analysis can be determined on the user interface at multiple stages of the analysis.