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 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 features for dynamic allocation of sensor data structures and automatic recalibration, ensuring accurate and efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the measurement system supports a broad range of sensors, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The measurement system employs a universal configuration approach where a single measurement system can interface with multiple sensor types through a standardized configuration process. The system uses a configuration tool that automatically generates appropriate settings for different sensor types, eliminating the need for multiple specialized configuration procedures and reducing overall system complexity while maintaining broad sensor compatibility.
2Adaptability or versatility
If the measurement system supports a broad range of sensors, then the adaptability is improved, but the measurement precision deteriorates due to inappropriate device selection
Solution Approach 1:
The system incorporates feedback mechanisms where the configuration tool receives information about the selected sensor type and automatically adjusts the measurement system configuration accordingly. This feedback loop ensures that the measurement system is properly adapted to the specific sensor characteristics, preventing inappropriate device selection and maintaining measurement precision across different sensor types.
Solution Approach 2:
The configuration tool acts as an intermediary between the user and the measurement system hardware. It translates high-level sensor selections into detailed configuration parameters, ensuring that the appropriate measurement settings are applied for each sensor type. This intermediary layer prevents direct user errors in configuration and maintains measurement accuracy regardless of the sensor type being used.
3Ease of operation
If manual configuration is used for sensor setup, then the ease of operation deteriorates, but the device complexity is reduced
Solution Approach 1:
The configuration tool implements a self-service approach where the system automatically generates optimal configuration settings based on the selected sensor type and application requirements. Users simply need to specify basic parameters, and the tool automatically completes the detailed configuration, reducing the operational burden on users while the software handles the complexity of generating appropriate settings for different sensor types.
Data Source
AI summary
Various examples are directed to methods and system of managing a sensor. A measurement system may receive from the host device, a first register map describing a first configuration of the measurement system for the first sensor. The first configuration may indicate a first measurement frequency for the first sensor. The measurement system may configure a switch matrix to provide a first excitation signal to the first sensor. The measurement system may configure the switch matrix to connect an analog-to-digital converter (ADC) of the measurement system to the first sensor. The measurement system may sample a first raw sensor signal from the first sensor with the ADC at a first measurement frequency described by the first configuration. The measurement system may generate first digital measurement data based at least in part on the first raw sensor signal and send the first digital measurement data to the host device.