Sensor Fusion for Mobile Hydraulic Orientation Detection
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Solution Overview
Problem
In mobile hydraulic equipment, existing systems face challenges in efficiently controlling actuator hydraulics to minimize energy waste and ensure stability, particularly in dynamic conditions where load orientation and positioning are critical.
Innovation Solution
A device with a sensor unit comprising accelerometers, magnetometers, and gyroscopes provides enhanced orientation and position information, which is used to generate control signals for hydraulic systems, including solenoids and valves, to manage load positioning and stability through a kinematic model, allowing for real-time adjustments and alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single orientation sensor is used, then the device complexity is reduced, but the measurement precision and reliability of orientation detection deteriorates
Solution Approach 1:
The patent combines multiple different types of orientation sensors (accelerometer, magnetometer, gyroscope) into a single integrated sensor unit. Each sensor type measures different aspects of orientation (gravity vector, magnetic north, angular velocity), and their data is fused through sensor fusion algorithms to achieve comprehensive and accurate orientation detection that surpasses any individual sensor capability.
Solution Approach 2:
The patent employs a composite sensing approach by integrating multiple heterogeneous sensor technologies into one system. Rather than using a single sensor type, the system combines sensors with different measurement principles and characteristics, creating a composite orientation detection system that leverages the strengths of each sensor type while compensating for their individual weaknesses.
2Measurement precision
If multiple sensors are combined for enhanced orientation detection, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent introduces sensor fusion algorithms as an intermediary processing layer that receives raw data from multiple sensors, processes and integrates this information, and produces unified orientation estimates. This intermediary computational layer manages the complexity of combining multiple sensors by providing a systematic framework for data fusion, coordinate transformations, and error compensation.
Solution Approach 2:
The integrated sensor unit is designed to perform multiple functions simultaneously - measuring linear acceleration, magnetic field strength, and angular velocity - all within a single compact assembly. This multi-functional design reduces the overall system complexity compared to having separate sensor modules, while still achieving high-precision orientation detection through the combined capabilities of all sensors.
3Productivity
If real-time orientation data processing is implemented, then the productivity and responsiveness improve, but the energy consumption increases
Solution Approach 1:
The system implements periodic sampling of sensor data at optimized intervals rather than continuous processing. The sensor fusion algorithm processes orientation data at specific time intervals that are sufficient for maintaining real-time control responsiveness while allowing the processor to remain idle or enter low-power states between processing cycles, thereby reducing overall energy consumption.
Solution Approach 2:
The patent employs dynamic processing strategies where the data processing rate and computational intensity are adjusted based on operational conditions. During periods of rapid motion or critical operations, processing frequency increases to maintain accuracy and responsiveness. During stable conditions, processing intensity is reduced to minimize energy consumption, creating a dynamic balance between productivity and energy use.
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 solution enables improved energy efficiency, stability, and smooth operation of mobile hydraulic equipment by accurately determining load orientations and positions, preventing tipping, and maximizing bucket capacity and stability.
Implementation Method 1
the accelerometer being adapted to detect an orientation of the control unit relative to a gravity force vector
Implementation Method 2
the magnetometer being adapted to detect an orientation of the control unit relative to a fixed magnetic field
Implementation Method 3
the gyroscope being adapted to detect yaw, pitch and roll, rates of the control unit
Data Source
AI summary
A hydraulic machine can include one or movable loads and one or more control units associated with actuators operating the movable loads. The control units can include an accelerometer, a gyroscope, and a magnetometer, the accelerometer being adapted to detect an orientation of the control unit relative to a gravity force vector, the magnetometer being adapted to detect an orientation of the control unit relative to a fixed magnetic field, and the gyroscope being adapted to detect yaw, pitch and roll, rates of the control unit. The magnetometer can be used to align the data from the control units such that the position, orientation, and velocity of the movable loads, including an end effector of the hydraulic machine, can be determined and controlled.