Hybrid Inclination Sensor System Vibration Compensation
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Solution Overview
Problem
Existing inclination sensor systems for mobile work machines, such as elevating platforms and cranes, face challenges with mechanical vibrations and interference, particularly in the low kHz range, which affect the accuracy of MEMS sensors and make thermodynamic sensors less accurate and more sensitive to temperature changes.
Innovation Solution
A hybrid inclination sensor system combining a MEMS inclination sensor with a thermodynamic sensor, using a fusion device to compare and correct inclination signals, ensuring accurate measurements by verifying the MEMS signal with the thermodynamic signal, particularly in cases of mechanical vibrations and temperature fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If MEMS inclination sensors are used, then measurement precision is improved, but reliability deteriorates due to sensitivity to mechanical vibrations
Solution Approach 1:
The patent combines two different inclination sensor technologies (MEMS and thermodynamic) into a hybrid system. The MEMS sensor provides high precision measurements under normal conditions, while the thermodynamic sensor serves as a backup that becomes active when vibrations are detected, ensuring continuous reliable operation despite the weaknesses of individual sensor types.
2Reliability
If thermodynamic inclination sensors are used, then reliability is improved, but measurement precision deteriorates due to temperature sensitivity
Solution Approach 1:
The patent introduces a vibration detection mechanism as an intermediary that monitors the operating conditions and dynamically selects which sensor type should be active. When vibrations are detected, the system switches to the thermodynamic sensor; when vibrations are absent, it uses the MEMS sensor, thereby optimizing precision while maintaining reliability.
3Reliability
If bulk-micromachined MEMS sensors are used, then reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses surface-micromachined MEMS sensors, which are cheaper and simpler than bulk-micromachined alternatives. While surface-micromachined sensors may be more sensitive to vibrations, the system compensates by using a thermodynamic sensor as a backup, avoiding the need for expensive bulk-micromachined sensors while maintaining overall system reliability.
4Reliability
If a hybrid sensor system is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements a dynamic sensor selection mechanism that adapts the active sensor type based on real-time vibration detection. This dynamic approach allows the system to maintain high reliability by switching between sensor types as needed, while the complexity is managed through automated control rather than requiring simultaneous operation of multiple complex sensor systems.
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 hybrid system provides a redundant and diverse inclination measurement system, enhancing accuracy and robustness against mechanical vibrations and temperature effects, while maintaining cost-effectiveness by utilizing surface-micromachined MEMS sensors and thermodynamic sensors.
Implementation Method 1
a MEMS inclination sensor (110) configured to output a first inclination signal (113) on the basis of an inclination (a) that exists at the inclination sensor (100)
Implementation Method 2
a further inclination sensor (120) of a different type having a different sensor principle configured to output a second inclination signal (123) on the basis of the inclination (a) that exists at the further inclination sensor (120)
Data Source
AI summary
An inclination sensor system for a mobile work machine includes a MEMS inclination sensor and a further inclination sensor of a different type and a fusion device. The inclination sensor is configured to output a first inclination signal on the basis of an inclination that exists at the inclination sensor. The further inclination sensor is configured to output a second inclination signal on the basis of the inclination that exists at the further inclination sensor. The fusion device is configured to calculate a corrected inclination signal on the basis of the first and second inclination signals and to output same as the corrected inclination signal.