Automated Dog Leash Control With Sensor-Based Tension Regulation
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Solution Overview
Problem
Traditional leash handling methods lack precision, consistency, and safety, leading to inefficient training and potential injury, and there is a need for automated leash control to enhance communication and behavior management between handlers and dogs.
Innovation Solution
An automated leash control device using sensors to monitor tension, speed, and distance, integrated with a motorized mechanism for controlling leash extension speed and an E-collar for compressed air signaling, providing customizable and safe training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual leash handling is used, then the handler can directly control the dog, but precision and consistency in guidance are insufficient
Solution Approach 1:
The patent replaces manual mechanical leash handling with an automated motorized mechanism that uses sensors (encoders, load cells) and control algorithms to precisely control leash extension speed, tension, and positioning. This substitution of manual operation with an automated electromechanical system resolves the contradiction by providing precise control without requiring manual dexterity.
Solution Approach 2:
The system incorporates sensors that automatically detect dog position, tension, and movement, with the control system autonomously adjusting leash parameters without continuous manual intervention. The motorized mechanism self-regulates based on sensor feedback, enabling precise control while reducing the operational burden on the handler.
2Reliability
If traditional leash control is used, then the structure is simple, but safety against injury is insufficient
Solution Approach 1:
The patent incorporates load cells and tension sensors that continuously monitor forces applied during leash handling, with control algorithms designed to prevent excessive tension before injury occurs. The system proactively regulates tension to stay within safe thresholds, cushioning against the risk of injury to both handler and dog.
Solution Approach 2:
The system uses encoders, load cells, and tension sensors to continuously monitor leash position, force, and dog movement, feeding this data back to the control system. This real-time feedback enables dynamic adjustment of motor output to prevent harmful forces, significantly improving safety while managing complexity through intelligent control.
3Measurement precision
If automated leash control is implemented, then precision and consistency are improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple functions into a single coordinated system: the motorized mechanism provides precise positioning, load cells measure tension, encoders track rotation, and the control system manages all functions through unified algorithms. This multi-functionality approach achieves high precision while managing complexity by eliminating the need for separate independent control systems.
Solution Approach 2:
The system achieves precise control by dynamically adjusting motor parameters (speed, torque, position) based on sensor feedback. The control algorithms modify operational parameters in real-time to achieve desired leash behavior, achieving precision through parameter optimization rather than complex mechanical structures.
4Productivity
If manual training methods are used, then the approach is simple, but training effectiveness and consistency are insufficient
Solution Approach 1:
The patent incorporates sensors that monitor dog response, tension, and position, providing feedback to the control system. This enables consistent training stimuli delivery with adjustable intensity and timing, significantly improving training effectiveness while the automated feedback loop ensures consistency that manual methods cannot achieve.
Solution Approach 2:
The system dynamically adjusts training parameters (tension magnitude, duration, frequency) based on real-time sensor data about dog response and training progress. This dynamic adaptation enables highly effective training that responds to individual dog needs, improving productivity while the algorithmic control manages the complexity of adaptive training strategies.
Data Source
AI summary
The embodiments herein disclose an automated leash control device for dogs, which aims to optimize the communication and behavior management between a dog and its handler during walks or training sessions. The device utilizes sensors to monitor leash tension, speed, and distance, coupled with a motorized mechanism for controlling leash extension speed. Additionally, the device integrates with an Innovative E-collar, providing compressed air signaling to alert the dog, thereby enhancing training outcomes.