Industrial Vehicle Control for Abnormal Package State Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing control devices for industrial vehicles cannot accurately estimate the working state, including abnormal packing forms, as they rely solely on operation information and fail to detect packaging abnormalities.
Innovation Solution
A control device that incorporates both operation information and photographing information, using a working state estimation unit with a machine learning-based model to determine normal or abnormal packing forms, and outputs the working state, including the feature vector acquisition unit that uses a CNN to analyze images for abnormal states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the control device estimates the working state based only on operation information, then the device complexity is reduced, but the measurement precision of the working state estimation deteriorates because packing form abnormalities cannot be detected
Solution Approach 1:
The patent merges operation information (from sensors monitoring vehicle operations) with photographing information (from imaging devices capturing package images) into a unified working state estimation framework. The working state estimation unit integrates both data sources to comprehensively determine working states, including detection of abnormal packing forms that cannot be detected by operation information alone.
2Measurement precision
If photographing information is added to operation information for working state estimation, then the measurement precision of packing form detection is improved, but the device complexity increases due to additional imaging components
Solution Approach 1:
The photographing information processing unit is designed to serve multiple functions: capturing package images, analyzing packing forms, detecting abnormal states, and providing feedback for working state estimation. This multi-functionality reduces the need for separate dedicated components for each function, thereby mitigating the increase in device complexity while improving packing form detection accuracy.
3Measurement precision
If machine learning models are used for working state estimation, then the measurement precision of abnormal state detection is improved, but the loss of time for data processing increases due to complex computation
Solution Approach 1:
The system performs preliminary processing of photographing information by extracting feature vectors that capture essential characteristics of package packing forms before feeding them into the machine learning model. This preliminary feature extraction reduces the dimensionality and complexity of the input data, enabling faster and more efficient machine learning inference while maintaining high detection accuracy.
Data Source
AI summary
A control device for an industrial vehicle is a control device for an industrial vehicle for estimating a working state of the industrial vehicle, which includes a working state estimation unit that estimates the working state of the industrial vehicle, and the working state estimation unit receives operation information regarding an operation state with respect to the industrial vehicle and photographing information obtained by photographing a package, performs a determination as to whether or not a packing form of the package is in an abnormal state, and outputs the working state.