Construction Material Delivery Tracking via Mobile Device Sensors
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Solution Overview
Problem
Conventional techniques for tracking machine productivity in construction sites, especially those with rented or short-term equipment, often rely on expensive and complex telemetry hardware, leading to incorrect data and manual validation challenges due to the lack of embedded or retrofit hardware.
Innovation Solution
A management platform utilizing processors and memory devices to receive and process information about job sites, load zones, dump zones, and machine locations, calculating dump counts and material delivery cycles, and performing actions based on this data, without the need for expensive hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive embedded or retrofit telemetry hardware is installed on machines, then machine productivity tracking capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses mobile device copies (smartphones, tablets) to replace dedicated telemetry hardware. The mobile devices run applications that perform the same tracking functions, eliminating the need for expensive embedded hardware while maintaining measurement capabilities.
Solution Approach 2:
The patent replaces physical telemetry hardware with software-based solutions running on mobile devices. GPS, accelerometer, and other sensors in mobile devices substitute for dedicated machine-mounted telemetry equipment, reducing hardware complexity.
2Measurement precision
If manual validation of material load quantities is performed, then measurement accuracy can be improved, but productivity and time consumption worsen
Solution Approach 1:
The system performs automatic self-validation by analyzing GPS trajectory data, machine status data, and zone information to determine material load quantities. The mobile device and server automatically validate measurements without requiring manual intervention, maintaining accuracy while improving productivity.
Solution Approach 2:
The system continuously monitors machine location, status, and operational parameters, providing real-time feedback to automatically validate and adjust productivity measurements. This closed-loop system ensures measurement accuracy while eliminating manual validation steps.
3Adaptability or versatility
If rented or short-term machines without embedded hardware are used, then job site flexibility is improved, but telemetry data reliability deteriorates
Solution Approach 1:
The mobile device application serves multiple machines and job sites universally. The same software platform works across different rented or short-term equipment without requiring machine-specific hardware, maintaining both flexibility and data reliability through standardized measurement protocols.
4Ease of operation
If simple tracking methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system pre-configures job site zones, machine parameters, and measurement criteria before operation begins. This preliminary setup eliminates the need for complex real-time configurations by the operator, maintaining ease of use while ensuring measurement precision through pre-validated parameters.
Data Source
AI summary
A device for managing material delivery productivity is disclosed. The device may receive information identifying a job site, a load zone, a dump zone, a quantity of loads, and a material. The device may provide, to a user device associated with a machine, information indicating that the load zone, the dump zone, the quantity of loads, and the material are assigned to the machine, and may receive, over a time period, location information associated with the machine. The device may determine statuses of the machine over the time period and based on the location information, and may calculate a dump count of the material and a quantity of material delivery cycles, for the machine and at a particular time, based on the statuses of the machine. The device may perform an action based on the dump count of the material and the quantity of material delivery cycles.