Mining Truck Tire Damage Detection via Driver Behavior Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mining machines' tires are prone to damage due to inappropriate operation, leading to reduced productivity and increased production costs, as existing systems fail to effectively monitor and prevent damaging operations.
Innovation Solution
A management system for mining machinery that includes a determination unit to identify damaging operations, a data acquisition unit to collect data on such operations, and a data output unit to associate the data with driver and position information, thereby preventing tire damage by identifying and reporting aggressive driving behaviors like rapid deceleration, stationary steering, and aggressive cornering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a mining machine is operated by a driver without monitoring, then ease of operation is maintained, but tire damage occurs and productivity decreases
Solution Approach 1:
The system continuously monitors operational parameters (steering angle, speed, deceleration) and provides feedback to identify damaging operations. This feedback mechanism enables real-time detection of harmful driving behaviors without requiring complex manual intervention, thereby protecting tires while maintaining operational simplicity.
Solution Approach 2:
The monitoring system automatically detects and records damaging operations without requiring external intervention. The system self-monitors operational parameters, automatically identifies damaging patterns, and generates reports, eliminating the need for additional personnel or complex manual monitoring procedures.
2Duration of action of moving object
If damaging operations are monitored and reported, then tire lifetime is extended, but device complexity increases
Solution Approach 1:
The monitoring system utilizes existing vehicle sensors and control units for multiple purposes: normal vehicle operation, damage detection, data recording, and report generation. By making these components multi-functional, the system extends tire lifetime without proportionally increasing device complexity.
Solution Approach 2:
Instead of adding complex physical monitoring hardware, the system creates informational copies of operational data from existing sensors. This digital replication approach allows comprehensive monitoring while keeping the physical system complexity minimal.
3Productivity
If driver behavior is monitored and associated with position data, then productivity is improved through better operations, but loss of information increases due to data management requirements
Solution Approach 1:
The system extracts only the essential damaging operation data from the vast amount of operational information generated by mining machines. By focusing solely on harmful operations rather than monitoring all operational parameters, the system improves productivity through targeted insights while minimizing data management overhead.
Data Source
AI summary
A management system for a mining machine on which tires are mounted and which travels in a mine by operation performed by a driver includes: a determination unit configured to determine whether or not a damaging operation damaging the tires has been carried out; a data acquisition unit configured to acquire damaging operation data indicating carrying out of the damaging operation, and one or both of driver identification data indicating a driver who has carried out the damaging operation and position data indicating a position of the mining machine on which the damaging operation has been carried out; and a data output unit configured to output association data containing the damaging operation data associated with one or both of the driver identification data and the position data.