Spinning Workshop Robot Inspection for Worker Distress Detection
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Solution Overview
Problem
The high temperature in spinning workshops poses safety hazards due to heat exhaustion and fainting risks for workers.
Innovation Solution
A spinning workshop inspection method and apparatus using an inspection robot to detect worker states by acquiring and analyzing image information to identify potential safety issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workers operate in high temperature spinning workshops, then production continues, but safety hazards increase due to heat exhaustion and fainting risks
Solution Approach 1:
The patent replaces manual safety monitoring with an automated inspection robot equipped with cameras and sensors. The robot autonomously navigates the workshop, captures images of workers, and uses image processing to detect signs of heat exhaustion and fainting, thereby substituting human monitoring with an automated optical-detection system.
Solution Approach 2:
The inspection robot serves as an intermediary between the high-temperature environment and the safety monitoring function. It equipped with thermal sensors and cameras to detect worker states without direct human intervention, acting as a mediator that bridges production continuity and worker safety concerns.
2Ease of operation
If manual inspection methods are used to monitor worker safety, then implementation is simple, but detection precision and timeliness are insufficient
Solution Approach 1:
The patent replaces simple manual inspection with an automated robot system that uses computer vision and image processing algorithms. The robot captures multiple images from different angles, processes them to detect worker posture, movement, and physiological signs, thereby achieving high-precision detection while maintaining ease of operation through automation.
Solution Approach 2:
The patent transitions from single-point manual inspection to multi-dimensional automated monitoring. The robot moves through three-dimensional space, capturing images from multiple angles and positions, and uses spatial analysis to detect worker states more accurately than traditional two-dimensional or point-based inspection methods.
3Device complexity
If traditional inspection methods are used, then device complexity is low, but the ability to detect and respond to safety issues in real-time is limited
Solution Approach 1:
The patent implements a dynamic inspection system where the robot autonomously navigates the workshop, adjusts its position and orientation based on detected worker locations, and continuously updates monitoring. The system adapts to changing conditions in real-time, moving from static to dynamic monitoring to improve detection capability while managing complexity through modular architecture.
Solution Approach 2:
The patent incorporates feedback mechanisms where the robot continuously monitors worker states, processes image data, and adjusts its inspection strategy based on detected anomalies. The system provides real-time feedback on worker safety status and can trigger alerts or notifications when potential issues are detected, creating a closed-loop monitoring system that responds dynamically to safety concerns.
Data Source
AI summary
Provided is a spinning workshop inspection method, an electronic device and a storage medium, relating to technical fields of computers. The spinning workshop inspection method includes: acquiring first image information of an inspection passage when an inspection robot inspects a first position corresponding to the first spinning box in the inspection passage; determining a second spinning box from spinning boxes when the first image information includes a first detection object; acquiring second image information of the inspection passage when the inspection robot inspects a second position corresponding to the second spinning box in the inspection passage; and determining state information of the first detection object based on the first and second image information.