Winch Cable Wrap Vision Sensing for Groove and Slack Detection
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Solution Overview
Problem
Current winch systems require multiple sensors to monitor cable wrapping and unwrapping conditions, which are inefficient and slow to respond, leading to disruptions and potential equipment damage.
Innovation Solution
A single computer vision sensor system that analyzes cable conditions on a winch drum, detecting anomalies such as skipped grooves, overlaps, and slack, and initiates control signals to the winch and motion control system to prevent disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple separate sensors are used to monitor cable wrapping conditions, then monitoring coverage is improved, but device complexity and response time worsen
Solution Approach 1:
The patent combines multiple separate sensors into a single computer vision sensor system that can simultaneously detect cable wrap position, groove alignment, cable tension, and drum rotation. This merging approach maintains comprehensive monitoring coverage while reducing device complexity and the number of separate components required.
Solution Approach 2:
The computer vision sensor system performs multiple monitoring functions simultaneously - detecting cable position, groove alignment, tension conditions, and drum rotation - all through a single multi-functional device. This universal approach improves reliability without requiring multiple specialized sensors.
2Reliability
If multiple separate sensors are used to monitor cable wrapping conditions, then monitoring coverage is improved, but response speed worsens
Solution Approach 1:
By merging multiple sensor functions into a single computer vision system, the patent enables simultaneous detection of all cable wrapping conditions through one coordinated sensor, improving response speed while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The patent replaces traditional mechanical sensors with a computer vision-based optical system that processes images to detect cable conditions. This substitution enables faster data acquisition and processing, improving response speed while maintaining reliable monitoring of all cable wrapping parameters.
3Measurement precision
If traditional sensors are used to detect cable anomalies, then detection capability is adequate, but control efficiency worsens
Solution Approach 1:
The patent replaces traditional mechanical sensors with a computer vision system that captures and processes images to detect cable anomalies. This substitution maintains adequate detection precision while significantly improving control efficiency through integrated processing and faster anomaly identification.
Solution Approach 2:
The computer vision system provides real-time feedback on cable wrapping conditions by continuously monitoring and processing visual data. This feedback mechanism enables rapid detection and response to anomalies, improving control efficiency while maintaining precise measurement capability.
4Device complexity
If a single sensor is used to monitor all cable conditions, then device complexity is reduced, but measurement precision worsens
Solution Approach 1:
The computer vision sensor system performs multiple specialized monitoring functions through a single device, including cable position detection, groove alignment verification, tension assessment, and rotation monitoring. This multi-functional approach reduces device complexity while maintaining measurement precision through integrated processing capabilities.
Solution Approach 2:
The patent transitions from one-dimensional mechanical sensor measurements to two-dimensional image-based detection, enabling a single sensor to capture multiple cable conditions simultaneously. This dimensional change allows comprehensive monitoring with reduced complexity while maintaining or improving measurement precision.
Data Source
AI summary
A computer vision camera sensor apparatus for motorized winches capable of monitoring multiple conditions relating to the cable and drum and a processing system capable of analyzing the camera sensor output to identify multiple conditions relating to the winch cable and drum and initiate appropriate control signals to the winch to protect the equipment and loads supported by the hoist.


