Geozone Fleet Tracking for Staggered Vehicle Operations
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Solution Overview
Problem
Asset management in vehicle fleets is challenging due to the high mobility and associated costs of assets, with issues of material oversupply and shortages, and the need to track both assets and individuals to maintain project schedules.
Innovation Solution
A computer-based tracking system using differential geolocation fields and pattern generation to monitor vehicle activities in geozones, generate time bar and quadrant graphs, and send updates to correct deviations from optimal operating patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time tracking of all vehicles is implemented, then resource allocation efficiency is improved, but system complexity and cost increase
Solution Approach 1:
The system divides the service area into multiple geozones and tracks vehicles at zone level rather than continuous individual tracking. This segmentation allows monitoring of resource allocation efficiency while reducing system complexity by only tracking vehicle presence in zones rather than continuous position data for all vehicles.
Solution Approach 2:
The tracking system serves multiple functions: monitoring vehicle locations, analyzing operating patterns, detecting deviations, and triggering alerts. This multi-functionality improves resource allocation efficiency without proportionally increasing system complexity, as a single system performs multiple management tasks.
2Reliability
If continuous monitoring of vehicle positions is performed, then operational control is improved, but energy consumption increases
Solution Approach 1:
The system performs periodic monitoring at geozone level rather than continuous tracking. Vehicles are monitored when they enter or leave geozones, and operating patterns are analyzed at scheduled intervals. This periodic approach maintains operational control reliability while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system focuses monitoring efforts on specific geozones and vehicles showing deviations from operating patterns. Instead of uniformly monitoring all vehicles continuously, resources are concentrated on areas and vehicles where operational control is most needed, reducing overall energy consumption while maintaining control reliability.
3Loss of information
If detailed tracking data is collected and analyzed, then management decision quality is improved, but data processing complexity increases
Solution Approach 1:
The system extracts only the essential features needed for management decisions: vehicle presence in geozones, operating pattern deviations, and key performance metrics. By taking out only the necessary information rather than processing all raw tracking data, the system improves decision quality while reducing data processing complexity.
Solution Approach 2:
The system pre-establishes operating patterns and deviation thresholds before analysis. By preparing reference patterns and alert criteria in advance, the system simplifies real-time data processing and improves the quality of management decisions without increasing processing complexity during operation.
4Reliability
If alert systems are implemented for pattern deviations, then operational reliability is improved, but false alarms increase
Solution Approach 1:
The system pre-establishes operating patterns and deviation thresholds based on historical data and operational requirements. By setting scientifically determined alert criteria in advance, the system improves operational reliability while minimizing false alarms through reasoned threshold selection rather than arbitrary alerts.
Solution Approach 2:
The alert system dynamically adjusts to learned operating patterns and can adapt thresholds based on contextual factors. This dynamic approach improves operational reliability by responding to actual deviations while reducing false alarms through context-aware adjustment of alert criteria rather than rigid fixed thresholds.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for efficiently managing fleet asset activities. In one aspect, a method includes establishing a plurality of vehicle activity stages including a source geozone, a destination geozone, a source-destination transit geozone, and a destination-source transit geozone; receiving sensed data from a sensor over a network, where the sensor is situated on an asset; storing the sensed data in a data store as stored data; generating a time bar display based on the stored data, where the time bar display depicts the asset's location relative to the source geozone and the destination geozone; monitoring the time bar display for a deviation from a staggered operating pattern; and sending an update to the asset to correct for the deviations from the staggered operating pattern, where the update brings the asset back into the staggered operating pattern.