Load and Dump Location Detection Using Heuristic Velocity Analysis
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Solution Overview
Problem
Current worksite monitoring systems face challenges in accurately tracking load and dump locations due to changing topography and mixed fleets of machines, requiring complex hardware and extensive information, making them difficult to install and expensive.
Innovation Solution
A system with a position detection module and speed detection module, coupled with a controller that generates position and speed signals to identify load locations based on relative distance and speed, and selects dump locations using a heuristic model considering distance, duration, and confidence scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex hardware components and extensive information requirements are used in current monitoring systems, then measurement precision of load and dump locations is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The patent extracts and utilizes only the essential data elements (machine position and speed signals) from the complex monitoring system, separating the core detection function from unnecessary hardware components. This allows accurate load/dump location identification using minimal data inputs.
Solution Approach 2:
The system enables machines to self-identify their own load and dump locations by processing their own position and speed signals through the heuristic model, eliminating the need for external monitoring infrastructure and reducing hardware requirements.
2Measurement precision
If extensive hardware components and information are required for accurate tracking, then measurement precision is improved, but ease of operation and installation are worsened
Solution Approach 1:
The controller serves multiple functions: it processes position signals, processes speed signals, identifies load locations, monitors velocity, gathers stop data, builds heuristic models, and selects dump locations. This multi-functionality eliminates the need for separate specialized hardware for each task.
Solution Approach 2:
The system uses the machine's existing position and speed signaling capabilities to perform all detection functions, making the machine self-sufficient and eliminating the need for additional installation infrastructure.
3Measurement precision
If detailed system information is collected for mixed fleets, then measurement precision of machine activities is improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the approach from collecting comprehensive detailed information to using transformed parameters (position and speed signals processed through heuristic models). This parameter transformation maintains tracking accuracy while reducing data complexity.
Solution Approach 2:
The system creates a virtual model (heuristic model) that replicates the complex interactions of mixed fleet machines, allowing accurate tracking through simplified data representation rather than direct detailed monitoring of each machine.
Data Source
AI summary
A system for detecting a load location and a dump location at a worksite is provided. The system includes a controller coupled to a position detection module and a speed detection module. The controller receives a position signal and a speed signal associated with the machine. The controller identities a load location based on a relative distance between the machine and a loading tool and the speed of the machine. The controller monitors a velocity of the machine as the machine moves away from the identified load location, gathers data related to a plurality of stops made by the machine, and builds a heuristic model. The controller selects one stop from the plurality of stops as a dump location based on a distance between the respective dump location and the load location, a duration of stopping of the machine, and a confidence score associated with the respective dump location.