AGV Channel Monitoring Using Sensor-Camera Fusion for Collision Warning
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Solution Overview
Problem
In yarn spindle production workshops, the use of automated guided vehicles (AGVs) for transporting yarn spindles poses a risk of collisions with workers due to shared pathways, leading to potential accidents and injuries, necessitating an effective monitoring solution.
Innovation Solution
A channel monitoring method utilizing scan data from vehicle body collection components and video data from cameras to detect target objects, generating warning information to prevent collisions by determining the location of the target object and adjusting AGV operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AGVs travel along predetermined paths in the workshop, then transportation efficiency is improved, but collision risk with workers increases
Solution Approach 1:
The system performs preliminary detection of workers in the AGV's path using sensors and cameras before the collision occurs. The detection unit continuously scans the environment ahead of the AGV, identifying potential hazards in advance to enable preventive action.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where detection units continuously monitor the environment, the processing unit analyzes the data in real-time, and the control unit immediately adjusts AGV operation based on detected hazards. This feedback loop enables dynamic response to changing conditions on the predetermined path.
2Measurement precision
If multiple detection methods are used to improve safety, then monitoring precision is improved, but system complexity increases
Solution Approach 1:
The detection system is segmented into specialized components with specific functions: detection units for sensing, processing units for analysis, and control units for decision-making. Each component handles a specific aspect of the monitoring task, allowing the system to achieve high precision through division of labor while managing complexity through modular architecture.
Solution Approach 2:
The system merges multiple detection technologies (sensors and cameras) into an integrated monitoring system. The processing unit combines data from different sources to create a comprehensive view of the environment, achieving enhanced monitoring precision through data fusion while managing complexity through centralized processing.
Data Source
AI summary
Provided is a channel monitoring method, an electronic device, and a storage medium. The method includes: obtaining scan data collected by a vehicle body collection component of an automated guided vehicle (AGV) in an area around a vehicle body; obtaining video data collected by a camera in a video collection area, where the camera is one of a plurality of cameras and is used to collect video of at least a partial area of the channel to be monitored of the plurality of channels to be monitored; in a case of determining an existence of a target object based on the scan data collected by the vehicle body collection component and/or the video data collected by the camera, obtaining a target channel where the target object is located; and generating target warning information for the target channel where the target object is located.