Inclination Detection System for Heavy Machinery
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Solution Overview
Problem
Existing inclination detection systems for heavy machinery are prone to errors due to non-gravitational accelerations such as machine movement and vibration, which can lead to inaccurate pitch data and increased rollover risks, especially in autonomous or semi-autonomous operations.
Innovation Solution
An inclination detection system that includes an inclination angle predictor, a measurement variance calculator, and an inclination angle updater, utilizing a Kalman filter to calculate a priori and a posteriori estimated inclination angles, while accounting for non-gravitational accelerations to provide accurate inclination data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a Kalman filter is used to combine accelerometer outputs to generate corrected navigation data, then the system can provide inclination estimation, but non-gravitational accelerations cause errors in the inclination data
Solution Approach 1:
The system extracts and separates non-gravitational acceleration components from the total acceleration signal. By identifying and removing these harmful acceleration components before processing through the Kalman filter, the system prevents them from corrupting the inclination measurements, thereby resolving the contradiction between providing inclination estimation and maintaining accuracy during dynamic operation.
Solution Approach 2:
The system introduces an intermediary processing stage between the raw accelerometer data and the Kalman filter. This intermediary component analyzes acceleration patterns, identifies non-gravitational components, and compensates for them before the data enters the inclination calculation algorithm, thus protecting the final measurement from acceleration-induced errors.
2Productivity
If automated control systems are implemented to operate heavy machinery with little or no human input, then productivity increases, but the risk of rollover increases due to inability to anticipate terrain challenges
Solution Approach 1:
The system continuously monitors machine inclination, acceleration, and terrain conditions, providing real-time feedback to the automated control system. This feedback loop enables the automated system to detect hazardous conditions and make corrective adjustments, maintaining safety while operating with minimal human input and thus resolving the contradiction between productivity and safety.
Solution Approach 2:
The system performs preliminary assessment of terrain conditions and machine stability before critical situations arise. By continuously evaluating inclination and acceleration data in advance, the system can proactively adjust operational parameters or alert the operator to potential rollover hazards, enabling safe automated operation without waiting for human intervention.
Data Source
AI summary
An inclination detection system is disclosed. The inclination detection system may have an inclination angle predictor configured to calculate an a priori estimated inclination angle of the machine based on a previously estimated inclination angle, and a measurement variance calculator configured to calculate a measurement variance of the a priori estimated inclination angle based on a non-gravitational acceleration of the machine. The inclination detection system may also have an inclination angle sensor configured to measure a measured inclination angle of the machine, and an inclination angle updater configured to determine an a posteriori estimated inclination angle of the machine based on the a priori estimated inclination angle, the measurement variance of the a priori estimated inclination angle, and the measured inclination angle.