Sensor Measurement Configuration With Auto Recalibration
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Solution Overview
Problem
Configuring a measurement system to support a broad range of sensors is complex and error-prone, especially for developers without expertise in sensor hardware design, leading to potential inaccuracies in measurement due to inappropriate device selection and lack of recalibration.
Innovation Solution
A measurement system that is configurable via a tool-assisted interface, capable of supporting multiple sensors and configurations, with built-in features for dynamic sensor data structure allocation and automatic recalibration, ensuring accurate and efficient data processing and unit conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the measurement system supports a broad range of sensors with multiple configurations, then the adaptability and versatility of the system is improved, but the device complexity and ease of operation deteriorate due to configuration complexity and error-proneness
Solution Approach 1:
The measurement system automatically detects the sensor type and configures appropriate parameters without requiring manual intervention from the user. The system self-calibrates and adapts to different sensor configurations, eliminating the need for complex manual setup procedures while maintaining broad sensor compatibility
Solution Approach 2:
The system dynamically adjusts configuration parameters based on the detected sensor type and measurement conditions. By automatically changing parameters such as sampling rate, excitation current, and measurement range according to the specific sensor being used, the system simplifies operation while supporting diverse sensor types
2Adaptability or versatility
If the measurement system supports a broad range of sensors with multiple configurations, then the adaptability and versatility of the system is improved, but the measurement precision deteriorates due to inappropriate device selection and lack of recalibration
Solution Approach 1:
The system performs preliminary calibration and characterization for each supported sensor type during manufacturing or initial setup. These pre-configured profiles include optimal parameters and calibration data that are automatically applied when the sensor type is detected, ensuring measurement precision without requiring现场 recalibration
Solution Approach 2:
The system continuously monitors measurement quality and sensor performance, automatically adjusting parameters to maintain optimal precision. Feedback mechanisms detect deviations from expected performance and trigger automatic recalibration or parameter adjustment to preserve measurement accuracy across different sensor types
3Ease of operation
If a user-friendly interface is provided for selecting and configuring sensors, then the ease of operation is improved, but the device complexity increases due to the need for interface software and processing logic
Solution Approach 1:
A software intermediary layer translates simple user selections into detailed configuration parameters. The user interacts with high-level concepts such as sensor type and measurement mode, while the intermediary automatically generates and manages the complex underlying configuration data, shielding the user from complexity while maintaining ease of operation
Data Source
AI summary
Various examples are directed to systems and methods for managing a sensor. A measurement system may receive, from a host device, a first register map describing a first configuration of a measurement system. The first configuration may be associated with a first sensor. The measurement system may compare the first register map to an error rule set indicating inconsistent register map arrangements. After comparing the first register map to the error rule set, the measurement system may configure a switch matrix of the measurement system to sample the first sensor according to the first configuration of the measurement system. The measurement system may receive a plurality of samples from a first sensor and generate first digital measurement data based at least in part on the plurality of samples.