Multi-Sensor Gripper Status Detection With Self-Calibration
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Solution Overview
Problem
Existing gripping and clamping devices require precise arrangement, calibration, and teaching-in of sensors to achieve optimal operation, which can be time-consuming and costly, especially when retrofitting or changing device functions.
Innovation Solution
A linear, gripping, clamping, rotary, or swiveling device equipped with a microprocessor and multiple sensors on a basic housing, capable of merging sensor output signals to determine operating status and identify device or element information, allowing for self-teaching and plug-and-work capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are precisely arranged, calibrated, and taught-in to achieve optimal operation, then measurement precision is improved, but loss of time and device complexity increase
Solution Approach 1:
The system performs self-calibration and self-teaching by automatically comparing sensor readings with data from other sensors and the digital twin. The microprocessor identifies calibration deviations and adjusts sensor parameters autonomously without requiring manual intervention, thereby eliminating time-consuming manual calibration processes while maintaining measurement precision.
Solution Approach 2:
A digital twin of the gripping device is created and stored in memory before actual operation. This digital twin contains pre-calibrated sensor data and device characteristics that serve as reference values for automatic calibration, allowing the system to perform quick self-adjustment without extensive teaching-in procedures.
2Measurement precision
If multiple sensors are used to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The microprocessor merges signals from multiple sensors (magnetic field sensor, acceleration sensor, gyro sensor) to form a unified operating status determination. By combining data from these diverse sensors and comparing them against the digital twin, the system achieves high detection accuracy while managing complexity through integrated signal processing rather than separate processing for each sensor.
Solution Approach 2:
The digital twin serves as an intermediary reference that mediates between multiple sensor inputs and the final operating status determination. Instead of directly comparing sensors against each other, the system uses the pre-stored digital twin model as a reference framework, simplifying the complex task of fusing multiple sensor data streams into coherent operating status information.
3Measurement precision
If sensors are precisely calibrated for specific functions, then measurement precision is improved, but adaptability decreases when changing device functions
Solution Approach 1:
The digital twin contains universal reference data that can serve multiple device functions and configurations. The same sensor array and processing system can detect position, force, collision, and other parameters across different gripping device functions by simply loading the appropriate digital twin model, eliminating the need for re-calibration when changing device functions.
Solution Approach 2:
The system achieves adaptability by changing parameters stored in the digital twin rather than physically re-calibrating sensors. When device function changes, the microprocessor loads different parameter sets from memory that correspond to the new function, allowing the same hardware to maintain measurement precision across multiple applications without physical re-calibration.
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
The solution enables precise detection of device status, force estimation, collision detection, and self-calibration, reducing the need for extensive retrofitting and calibration, while improving operational precision and efficiency.
Implementation Method 1
A magnetic field sensor arranged on the basic housing 104, the microprocessor 102 being designed to detect information about a current magnetic field strength
Implementation Method 2
an acceleration sensor 108 and a gyro sensor 110 are arranged on the basic housing 104
Implementation Method 3
an acceleration sensor 108 and a gyro sensor 110 are arranged on the basic housing 104
Data Source
AI summary
The invention relates to a linear, gripping, clamping, rotary or swiveling device having a microprocessor and a basic housing (104), wherein at least two sensors are arranged on the basic housing, wherein the microprocessor is designed to merge output signals of the at least two sensors to form a merged signal, and wherein the microprocessor is designed to determine an operating status of the linear, gripping, clamping, rotary or swiveling device depending on the merged signal.