Optical Position Detection for Aerial Boom Translation and Rotation
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Solution Overview
Problem
Conventional boom systems for aerial devices face challenges in accurately measuring translation and rotation due to discontinuous readings from string potentiometers and single-point proximity switches, and difficulties in implementing rotation encoders in central joint designs.
Innovation Solution
A position detection system using a motion-sensing device, such as a camera with a processor, to determine the position of moving components by capturing and processing image data, allowing for accurate measurement of translation and rotation without altering existing structures, and incorporating a light-emitting device for improved imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If string potentiometers or draw wires are used to measure boom extension, then translation measurement is provided, but the readings are discontinuous and inaccurate
Solution Approach 1:
The patent replaces mechanical measurement systems (string potentiometers, draw wires) with an optical imaging system using a camera and processor. The camera captures images of the telescopic member, and the processor determines translation distance by analyzing pixel positions of fiducial markers, providing continuous and accurate measurement without mechanical contact.
Solution Approach 2:
The system uses fiducial markers (visual copies/reference points) attached to the telescopic member that are captured by the camera. These markers serve as optical references that allow the processor to calculate precise position and translation by comparing marker positions across multiple images, eliminating the need for mechanical sensing.
2Measurement precision
If single-point proximity switches are used to measure turret rotation, then rotation detection is provided, but the readings are discontinuous
Solution Approach 1:
The patent replaces mechanical proximity switches with an optical imaging system. The camera captures images of the rotating member at multiple points during rotation, and the processor determines rotational position by analyzing the positions of fiducial markers across these images, providing continuous rotation measurement instead of discrete switch-triggered readings.
Solution Approach 2:
Fiducial markers are placed on the rotating member to serve as optical references. As the member rotates, the camera captures these markers at different angular positions, and the processor calculates rotation angle by comparing marker positions, creating a continuous rotational profile rather than discrete switch activations.
3Measurement precision
If rotation encoders are used to measure relative angles, then accurate rotation measurement is provided, but implementation is challenging when components must be located in or through the center of the rotational joint
Solution Approach 1:
The patent replaces rotation encoders (which require direct mounting on rotational joints and complex wiring) with a non-contact optical system. The camera is positioned externally to image the rotating member, and the processor calculates rotation from image analysis, eliminating the need to install sensors within the rotational joint itself.
Solution Approach 2:
The system uses fiducial markers as intermediaries between the rotating member and the camera. These markers are attached to the rotating member and serve as reference points that the camera can track optically, allowing rotation measurement without direct physical connection or complex installation within the joint.
4Measurement precision
If bar codes are used for position determination, then translation or rotation positions can be detected, but only when particular positions are reached
Solution Approach 1:
The system uses fiducial markers (simplified versions of bar codes) that are captured by the camera at every image frame. Unlike bar codes that are read only at specific positions, these markers are continuously tracked across multiple images, allowing the processor to calculate position and translation continuously rather than only at discrete points.
Solution Approach 2:
The camera continuously captures images of the fiducial markers as the telescopic or rotating members move, and the processor continuously analyzes these images to determine current position. This provides continuous position monitoring rather than discrete position detection, maintaining useful action throughout the entire range of motion.
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 continuous and accurate measurement of component extension and rotation, suitable for retrofitting or adding functionality to existing systems, providing reliable position data for aerial device control systems.
Implementation Method 1
The motion-sensing device is oriented to receive image data relevant to the motion of the one member relative to the other
Implementation Method 2
a light-emitting device is configured to direct light into the area of the surface to be imaged
Data Source
AI summary
Disclosed is a system which uses one or more camera units with embedded processors to measure the relative translation and/or rotation between different members on an aerial device. Image data from each unit is processed and transmitted processing to the position control system of the aerial device, and used to determine the position of an aerial element of the device.