Cable Transport Event Correlation for Stop Cause Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cable transport systems face challenges in accurately identifying and analyzing the causes of operational events such as stops or speed reductions, which are often complex to reconstruct due to operator memory limitations and external factors, leading to inefficiencies.
Innovation Solution
An event analysis system comprising an optical acquisition unit, control unit, and correlation module to automatically correlate images and videos with notification signals, enabling precise reconstruction of event causes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operators manually remember and reconstruct event causes, then system complexity remains low, but measurement precision and reliability of event analysis deteriorate
Solution Approach 1:
The patent introduces a correlation module as an intermediary that automatically links notification signals with surveillance images/videos. This mediator component bridges the gap between event detection and visual documentation without requiring complex manual reconstruction, thereby improving measurement precision while keeping system complexity manageable through automated processing.
Solution Approach 2:
The system creates visual copies (images and videos) of events through surveillance assemblies and correlates them with notification signals. These visual copies serve as objective records that replace subjective human memory, enhancing event cause analysis precision without proportionally increasing system complexity since the copying mechanism leverages existing surveillance infrastructure.
2Loss of information
If operators manually reconstruct event causes, then device complexity remains low, but loss of information increases due to memory limitations
Solution Approach 1:
The correlation module acts as an intermediary that systematically connects notification signals with corresponding surveillance data. This automated intermediary process eliminates information loss associated with human memory limitations by directly linking event timestamps with visual records, reducing information loss while maintaining moderate automation levels.
Solution Approach 2:
The system establishes a feedback loop where surveillance images and videos are correlated with notification signals to provide accurate event information. This feedback mechanism ensures that complete event details are captured and preserved, reducing information loss by continuously verifying event causes against visual evidence rather than relying on operator memory.
3Productivity
If manual event analysis is used, then automation extent remains low, but productivity and analysis speed deteriorate
Solution Approach 1:
The correlation module serves as an automated intermediary that rapidly matches notification signals with surveillance footage. This intermediary automation significantly improves event analysis productivity by eliminating manual reconstruction processes, while the automation level remains controlled through the use of existing surveillance infrastructure and straightforward correlation algorithms.
Solution Approach 2:
The system uses visual copies from surveillance assemblies to automatically document and analyze events. This copying approach enhances productivity by providing immediate visual evidence of event causes without requiring manual investigation, while the automation extent is moderated by leveraging already-deployed surveillance systems rather than introducing entirely new automated monitoring infrastructure.
Data Source
Figure 1~2
AI summary
An event analysis system for a cable transport system has a surveillance assembly (13) comprising at least one optical acquisition unit (14) configured to acquire images and/or videos of at least one portion of the cable transport system (1); a control unit (15), which is configured to control the operation of the cable transport system (1) and to generate a notification signal indicative of a respective event affecting the operation of the cable transport system (1); and a correlation module (16), which is configured to receive the images and/or the videos acquired by the surveillance assembly (13) and the notification signal generated by the control unit (15) and to correlate said images and/or said videos to the respective event as a function of the notification signal received.