Wireless Gyro Sensor for Rotating Object Position Measurement
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Solution Overview
Problem
Existing methods for determining the position, speed, and acceleration of objects require multiple sensor components to be positioned and calibrated, which is time-consuming and labor-intensive.
Innovation Solution
A wireless sensor device with a gyroscopic sensor and a mobile computing device that communicates via wireless networks to detect and calculate rotational movement, allowing for the determination of object motion and position using a single sensor device attached to rotating objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensor components are used to measure position, speed, and acceleration, then measurement precision is improved, but device complexity and setup time increase
Solution Approach 1:
The patent combines multiple sensor functions (accelerometer, gyroscope, magnetometer) into a single integrated sensor device that attaches to the rotating object. This single device performs all measurements of position, speed, and acceleration, eliminating the need for multiple separate sensor components and their complex spatial configuration.
Solution Approach 2:
The sensor device is designed with multi-functionality, incorporating accelerometer, gyroscope, and magnetometer capabilities in one unit. This universal device can measure various motion parameters (linear acceleration, angular velocity, magnetic field orientation) simultaneously, replacing multiple specialized sensors.
2Measurement precision
If multiple sensor components are positioned and calibrated, then measurement accuracy is improved, but loss of time increases due to setup and calibration requirements
Solution Approach 1:
By merging all sensing functions into one device that attaches directly to the rotating object, the patent eliminates the time-consuming process of positioning and calibrating multiple sensors at different locations. The single device requires only one attachment operation.
Solution Approach 2:
The sensor device performs self-calibration and automatically determines its own orientation and motion parameters through onboard processing of data from its multiple sensors, eliminating the need for manual calibration procedures.
3Ease of operation
If a single sensor device is used, then ease of operation is improved, but measurement precision may deteriorate
Solution Approach 1:
The patent merges multiple sensing capabilities (accelerometer, gyroscope, magnetometer) within a single device, maintaining ease of operation while achieving comprehensive measurement precision through the combined data from all sensor types.
Solution Approach 2:
The measurement system uses a composite approach by integrating multiple sensor technologies within one device, combining the strengths of different sensing methods (inertial measurement from accelerometers and gyroscopes, directional reference from magnetometers) to achieve high overall measurement precision.
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
Enables efficient and accurate measurement of rotational motion, velocity, and position of objects with reduced setup and calibration time, using a single sensor device that transmits data to a mobile computing device for processing and display.
Implementation Method 1
The gyroscopic sensor is configured to measure rotational motion of the sensor device on one or more planes
Data Source
AI summary
A computer system comprises a sensor device configured to attach to a rotating object. The sensor device has a gyroscopic sensor that is configured to measure rotational motion on one or more planes. The sensor device detects rotational movement and generates and transmits signals that represent the rotational movement detected to a mobile computing device. The mobile computing device receives the signals and assigns timestamp values to the signals. The mobile computing device also receives object parameter information that describes object attributes. The mobile computing device generates angular velocity datasets and object datasets that describe motion or positions of the object. The mobile computing device then generates sets of graphical representations from the object datasets and displays graphs from the sets of graphical representations, where each graph displayed is obtained from a distinct set of graphical representations.