Vehicle Performance Deficiency Cause Determination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fleet management systems for off-road vehicles in mining operations fail to accurately determine the cause of performance deficiencies, particularly under heavily- or fully-loaded conditions, making it difficult to address and correct the underlying issues.
Innovation Solution
A method and system that utilize vehicle sensing systems and processing networks to differentiate between mechanical and operational causes of performance deficiencies by comparing actual performance parameters with predetermined baselines and specifications, and analyzing key indicator values to identify the root cause of low ground speed or performance issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current fleet management systems are used to monitor vehicle performance, then vehicle performance data can be collected, but the cause of performance deficiencies cannot be accurately determined
Solution Approach 1:
The system segments the determination of performance deficiencies into distinct analytical components: (1) detecting performance deficiencies through performance parameter monitoring, (2) analyzing key indicator values to identify mechanical conditions, and (3) analyzing operational parameters to identify operational conditions. This segmentation enables accurate cause determination by systematically evaluating different potential causes separately and combining the results.
Solution Approach 2:
The system introduces key indicator values as intermediary data elements that bridge the gap between raw performance data and cause identification. These key indicators serve as mediators that translate complex vehicle sensor data into meaningful insights about mechanical and operational conditions, enabling accurate cause determination without direct intervention.
2Reliability
If general fleet management systems are used, then vehicle operation monitoring is possible, but differentiation between mechanical and operational causes is not achieved
Solution Approach 1:
The system divides cause analysis into two distinct segments: mechanical condition analysis through key indicator values and operational condition analysis through operational parameters. This segmentation provides reliable cause classification by clearly separating mechanical from operational factors, while the automated processing maintains ease of operation despite the analytical complexity.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor performance parameters and automatically trigger cause analysis when deficiencies are detected. This feedback loop ensures reliable cause classification without requiring manual intervention, maintaining ease of operation while achieving high analytical reliability through automated decision-making processes.
Data Source
AI summary
A method of determining a cause of a performance deficiency of a vehicle may include: Determining whether the vehicle is operating in a defined load condition; comparing an actual vehicle performance parameter with a predetermined baseline performance parameter for the defined load condition; comparing a plurality of key indicator values of the vehicle with a predetermined specification for each of the plurality of key indicator values; concluding that the performance deficiency is the result of a mechanical condition of the vehicle when at least one of the key indicator values is outside of the predetermined specification for a corresponding key indicator value and when the actual vehicle performance parameter is outside of the predetermined baseline performance parameter; and concluding that the performance deficiency is the result of an operational condition when none of the key indicator values is outside of the predetermined specification for the corresponding key indicator value and when the actual vehicle performance parameter is outside of the predetermined baseline performance parameter.