Model-Based Measurement Assembly for User Recalibration Accuracy
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Solution Overview
Problem
Current measurement systems face challenges in achieving high accuracy due to design flaws that prevent users from recalibrating equipment, are limited by nonlinear physical phenomena, and lack explicit models of the systems being measured, leading to costly and time-consuming recalibration processes, as well as restricted utility and accuracy in harsh or remote environments.
Innovation Solution
The development of a measurement and management system that includes a model-based approach, allowing users to calibrate and adapt the system dynamically, integrate explicit models of the measurement and external systems, and reconfigure itself for improved accuracy and adaptability, enabling cost-effective high-accuracy measurements and management functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If factory calibration and sealing against user adjustment is implemented, then measurement accuracy is maintained, but user ability to recalibrate is prevented and cost increases
Solution Approach 1:
The patent implements self-calibration capability that allows the measurement system to automatically adjust and maintain its own accuracy without requiring external calibration services. The system includes automated calibration routines that can be executed by the user, eliminating the need for factory-sealed equipment while maintaining high measurement accuracy through user-performable self-calibration procedures.
2Measurement precision
If frequent recalibration and recertification is performed, then measurement accuracy is maintained, but time loss and cost increase
Solution Approach 1:
The patent incorporates preliminary calibration data storage and automated calibration routines that can be quickly executed. The system stores calibration constants and procedures in memory, allowing users to perform rapid recalibration without requiring extensive external equipment or prolonged downtime. This preliminary preparation of calibration resources significantly reduces the time required for maintenance while preserving measurement accuracy.
3Measurement precision
If explicit models of measured systems are integrated, then measurement accuracy and adaptability improve, but system complexity increases
Solution Approach 1:
The patent divides the measurement system into modular components, with explicit models of the measured system segmented into separate functional modules. This segmentation allows the complex modeling capabilities to be integrated in a structured manner, where each module handles specific aspects of the measurement model, thereby managing overall system complexity while maintaining high measurement accuracy and adaptability.
4Measurement precision
If high-accuracy laboratory equipment is used, then measurement accuracy reaches 1%, but cost increases ten to one hundred times
Solution Approach 1:
The patent employs parameter changes and computational corrections to achieve high measurement accuracy without requiring expensive laboratory-grade hardware. By adjusting measurement parameters, applying calibration constants, and using computational algorithms to correct systematic errors, the system attains 1% accuracy levels through software-based improvements rather than expensive hardware upgrades, significantly reducing equipment cost while maintaining high precision.
Data Source
AI summary
Systems and methods for measurement and management provide complex measurements cost-effectively at very high accuracy. These methods and systems in some cases achieve measurement accuracy exceeding the accuracy of the reference standards they rely on, and eliminate expensive and disadvantageous recalibration procedures. The accurate measurements are integrated with management functions, applying the measurement data to meet objectives of the integrated system and workflow goals of its user. The disclosed systems and methods comprise an explicit or expressly represented model both of themselves and of candidate external systems to be measured and managed. The models may be configured and reconfigured by the owner-user through either local or remote means. The system intelligently reconfigures itself to adapt dynamically to the conditions of measurement and the user's and system's goals at each moment. In an embodiment, the system includes high-accuracy and reconfigurable components including a meter or control head adapted for user precision assembly and maintenance that computes and displays or communicates the measurements, displaying measurements in desired units, grouping functions according to ergonomic and cognitive principles based on the activity and workflow of a user in relation to the internal model. The use of models permits the system to compute and provide complex and inferred measurements of ultimate interest to the user, including quantities that cannot be directed measured and only can be determined through reasoning or computation by applying models to raw measurement data. The precision-assembly modular electromechanical design further permits an owner-user to precisely assemble, maintain, modify the apparatus and calibrate the equipment for accuracy.