Worksite Dump Event Verification for Accurate Material Tracking
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Solution Overview
Problem
Existing worksite tracking systems struggle to accurately detect and correct false dump events, leading to inaccurate tracking data and productivity metrics.
Innovation Solution
A computer-implemented method and system that receives sensor data from machines at a worksite, detects dump events, determines tracking data, identifies false dump events, and suppresses them by re-determining the tracking data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is used to detect dump events, then tracking data can be generated, but false dump events cause inaccurate tracking data
Solution Approach 1:
The system uses feedback from multiple sensor sources (load sensors, position sensors, operational state sensors) to continuously verify dump event detections. When conflicting information is detected, the system re-evaluates the dump event status and corrects tracking data accordingly, creating a closed-loop verification process that improves reliability while maintaining detection capability
Solution Approach 2:
The system performs preliminary verification of detected dump events by checking multiple conditions (sensor readings, machine state, location data) before finalizing the tracking data. This preliminary action prevents false dump events from corrupting the tracking data in the first place
2Productivity
If false dump events are not corrected, then tracking data remains simple to process, but productivity metrics become unreliable
Solution Approach 1:
The system performs self-verification and self-correction of tracking data by automatically detecting false dump events through sensor feedback and re-determining tracking data without external intervention. This self-service approach ensures reliable productivity metrics while keeping the processing complexity manageable through automated algorithms
Solution Approach 2:
The system introduces an intermediary verification layer that mediates between raw sensor data and final tracking data. This intermediary process filters out false dump events before they corrupt productivity metrics, ensuring reliability without requiring complex post-processing corrections
3Speed
If dump events are detected without verification, then real-time tracking is maintained, but false events corrupt historical records
Solution Approach 1:
The system performs preliminary verification checks using already-available sensor data before recording dump events in historical records. This preliminary action ensures measurement precision is maintained while keeping the process fast enough for real-time tracking applications
Solution Approach 2:
The system dynamically adjusts the verification process based on confidence levels from sensor data. When sensor readings clearly indicate a dump event, the system records it immediately; when readings are ambiguous, additional verification steps are triggered, optimizing both speed and precision adaptively
Data Source
AI summary
A worksite tracking system uses sensor data associated with operations of a machine on a worksite to detect when the machine performs a dump event to dump material at the worksite, and to update tracking data that tracks machine operations and material movement at the worksite. If sensor data causes detection of a false dump event that did not actually occur, the worksite tracking system identifies the detected false dump event and suppresses corresponding information to update and correct the tracking data.