Load-Handling Track Defect Detection Using Motion Sensors
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Solution Overview
Problem
Existing storage and retrieval systems face challenges in detecting defects on load-handling device tracks, which can impede movement and affect system reliability due to debris, misalignment, or damage, making visual inspection difficult and inefficient.
Innovation Solution
A computer-implemented method using sensors, such as accelerometers or gyroscopes, to monitor the movement of load-handling devices and identify defects by analyzing data that deviates from a normal distribution, setting multiple thresholds to confirm defect identification, and generating a map of defective regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to detect track defects, then the inspection process is simple, but the detection accuracy and efficiency are low
Solution Approach 1:
The patent replaces manual visual inspection with automated sensor-based detection systems. Sensors mounted on load-handling devices collect vibration, acoustic, and operational data to automatically detect track defects, eliminating the need for human inspectors and significantly improving detection accuracy while reducing operational complexity through systematic data collection and analysis
Solution Approach 2:
The patent introduces sensors as intermediary devices between the track and the inspection system. These sensors act as mediators that convert physical track conditions into measurable signals (vibration, sound, operational parameters), enabling indirect but accurate detection of defects without direct human intervention or complex visual inspection equipment
2Reliability
If sensors continuously monitor load-handling device movement to detect defects, then defect detection accuracy improves, but data processing burden and system complexity increase
Solution Approach 1:
The patent performs preliminary data processing by pre-defining threshold values for abnormal vibrations and operational parameters. The system continuously monitors sensor data and automatically compares it against these pre-established thresholds to identify defects, reducing the computational burden by avoiding complex real-time analysis and enabling faster, more reliable defect detection
Solution Approach 2:
The patent transforms complex sensor data into simplified binary decisions (normal/abnormal) by changing the parameter representation from continuous sensor readings to threshold-based status indicators. This parameter transformation reduces data complexity while maintaining reliability, as the system only needs to determine whether measurements exceed predefined thresholds rather than analyzing full data distributions
3Measurement precision
If multiple thresholds are set to verify defect identification, then false positives are reduced, but the time required for defect verification increases
Solution Approach 1:
The patent implements periodic verification by checking sensor data against multiple thresholds at regular intervals during load-handling device operation. Instead of performing exhaustive analysis, the system conducts rapid periodic comparisons against predefined threshold levels, efficiently identifying defects that consistently exceed multiple threshold criteria while minimizing verification time through this rhythmic, systematic approach
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
Accurately detects and verifies track defects with high confidence, minimizing system failures and ensuring reliable operation by identifying and avoiding problematic areas.
Implementation Method 1
The sensor may detect vibration of the load-handling device as it moves along the first and/or second sets of tracks
Implementation Method 2
The sensor may comprise an accelerometer, an inertial measurement unit, a gyroscope, an encoder or a torque sensor
Data Source
AI summary
A storage and fulfilment system in which stacks of storage containers are arranged within a grid storage structure is known. The containers are accessed from above by load-handling devices operative on rails or tracks located on the top of the grid storage structure. There is a method and system for detecting defects on a track or rail on which a load-handling device moves.