Transducer Calibration via Rotational Gravity Orientation
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Solution Overview
Problem
Conventional methods for calibrating accelerometers are costly due to expensive equipment and lack of automation, leading to high manufacturing costs that can make products less competitive.
Innovation Solution
A method and apparatus for calibrating transducer-including devices using a device calibration system that rotates the devices through a series of orientations, allowing for simultaneous calibration of multiple devices and reducing the need for expensive equipment by using a device handling system and communication structure to communicate with the transducers and calculate calibration coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional calibration methods are used, then calibration can be performed, but equipment expense is high and automation level is low
Solution Approach 1:
The accelerometer device performs self-calibration by automatically determining calibration coefficients through execution of calibration routines that utilize gravitational force during rotation, eliminating the need for external calibration equipment and manual intervention
Solution Approach 2:
The patent replaces expensive mechanical calibration equipment with a software-based calibration system that uses the device's own processing unit to execute calibration algorithms and determine calibration coefficients through mathematical calculations
2Ease of manufacture
If conventional calibration methods are used, then calibration can be performed, but manufacturing cost is high
Solution Approach 1:
The patent combines multiple calibration operations into a single integrated process where multiple accelerometers mounted on a rotating structure are calibrated simultaneously through one rotation cycle, increasing manufacturing efficiency and reducing per-unit costs
Solution Approach 2:
The calibration system is designed to calibrate multiple different accelerometer devices simultaneously using the same rotating structure and gravitational field, making the calibration process universal and scalable for mass production
3Adaptability or versatility
If conventional calibration methods are used, then calibration can be performed, but product pricing is higher
Solution Approach 1:
The calibration process uses feedback from the accelerometer measurements during rotation to iteratively determine calibration coefficients, with the processing unit analyzing measurement data at multiple orientations and adjusting coefficients to optimize accuracy
Solution Approach 2:
The calibration system dynamically adapts to different device orientations during rotation, automatically adjusting measurement parameters and calculation methods based on the current gravitational vector direction to maintain calibration accuracy throughout the rotation cycle
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
This approach reduces manufacturing costs by enabling efficient and automated calibration of multiple transducers, improving competitiveness and lowering product pricing.
Implementation Method 1
rotating the board support structure through a series of orientations... causing the transducer-including devices to be in a first orientation, a second orientation, and/or a third orientation with respect to a fixed coordinate system
Data Source
AI summary
Embodiments of packaged transducer-including devices and methods for their calibration are disclosed. Each device includes one or more transducers, an interface configured to facilitate communications with an external calibration controller, a memory, and a processing component. The external calibration controller sends calibration commands to the transducer-including devices through a communication structure. The processing component of each device executes code in response to receiving the calibration commands. Execution of the code includes generating transducer data from the one or more transducers, calculating calibration coefficients using the transducer data, and storing the calibration coefficients within the memory of the device.