Magnetostrictive Sensor Memory for Fast Calibration Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing magnetostrictive displacement sensors require time-consuming recalibration and manual programming of calibration parameters when replaced, which can lead to errors and downtime due to the need for user training or manufacturer intervention.
Innovation Solution
Incorporation of a programmable memory circuit within the sensor assembly to store calibration parameters, allowing for automatic data transfer and integration with sensor electronics, reducing the need for manual recalibration and ensuring accurate position measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recalibration and programming of calibration parameters is performed when replacing a sensor, then accurate position measurements can be achieved, but significant time is lost and the measurement device remains out of service
Solution Approach 1:
The calibration parameters are pre-stored in a database associated with the sensor's unique identification code before the sensor is replaced. When the new sensor is installed, the measurement device automatically retrieves and programs these pre-prepared calibration parameters, eliminating the need for manual recalibration and significantly reducing downtime.
Solution Approach 2:
The system enables automatic retrieval and programming of calibration parameters through the unique identification code, allowing the measurement device to self-configure when a new sensor is installed without requiring manual intervention from trained personnel or manufacturer involvement.
2Reliability
If manual programming of calibration parameters is performed, then the measurement device can be recalibrated for the new sensor, but the process is prone to errors that may prevent proper operation
Solution Approach 1:
The measurement device automatically retrieves calibration parameters using the sensor's unique identification code and programs them without manual intervention, eliminating human error and making the process foolproof for users regardless of their training level.
Solution Approach 2:
The system uses the unique identification code as a feedback mechanism to automatically match and retrieve the correct calibration parameters, ensuring that the right parameters are programmed for each specific sensor, thereby preventing configuration errors.
3Measurement precision
If calibration parameters are stored in a database and manually programmed, then accurate measurements can be achieved, but users require specialized training and equipment to perform the replacement
Solution Approach 1:
The automatic retrieval and programming system eliminates the need for users to have specialized training or equipment. The measurement device autonomously handles the entire calibration parameter transfer process using only the sensor's unique identification code, making sensor replacement accessible to any user.
Solution Approach 2:
The unique identification code serves as an intermediary that automatically links the sensor to its corresponding calibration parameters in the database, eliminating the need for manual intervention and specialized user knowledge in the calibration process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates seamless sensor replacement and calibration parameter transfer, minimizing downtime and errors, and ensuring precise target magnet position measurements without manual intervention.
Implementation Method 1
The excitation signal creates a magnetic field around the waveguide that interacts with the magnetic field of the target magnet to create a magnetostrictive response in the waveguide at the location of the target magnet
Data Source
AI summary
One example of the sensor assembly includes an energy storage capacitor, a waveguide, a pickup, and a memory circuit. The energy storage capacitor is connected between a first supply voltage input/output and an electrical common input and is configured to maintain a supply voltage. The waveguide includes an input end connected to a current pulse input, and a return end connected to the electrical common input. The pickup is configured to output a response signal to a sensor output in response to a magnetostrictive response in the waveguide that is produced in response to a current pulse received at the current pulse input. The memory circuit is configured to store data, transmit the stored data through the first supply voltage input/output, and receive data for storage through the first supply voltage input/output.