Work Machine Object Detection That Filters Machine Component Alerts
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Solution Overview
Problem
Existing object detection systems in work machines often generate false alerts by identifying components of the machine as foreign objects, leading to operator distraction and reduced efficiency.
Innovation Solution
A nuisance condition detection system that includes an object detection sensor and a controller with processors, which analyze information from the sensor to differentiate between machine components and actual foreign objects, preventing unnecessary alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object detection systems use sensors to detect foreign objects around the work machine, then the operator receives alerts about potential hazards, but the system may identify machine components as foreign objects and generate false alerts that distract the operator
Solution Approach 1:
The system segments the detection field into machine component zones and foreign object zones using multiple sensors positioned at different locations. Each sensor monitors specific areas, and the controller correlates data from multiple sensors to distinguish between machine components and foreign objects based on their spatial relationships and movement patterns.
Solution Approach 2:
The controller acts as an intermediary that processes and correlates data from multiple sensors before generating alerts. By analyzing the combined information from sensors positioned at different locations, the system can identify patterns that indicate machine components versus foreign objects, filtering out false alerts before they reach the operator.
2Reliability
If the object detection system monitors all areas around the work machine, then comprehensive safety coverage is achieved, but false alerts increase when machine components move within the detection field
Solution Approach 1:
The detection area is segmented into multiple zones monitored by different sensors. The system tracks which zones contain machine components versus foreign objects by analyzing sensor correlations, allowing comprehensive monitoring while selectively filtering alerts from machine component zones.
Solution Approach 2:
The system continuously monitors sensor data and provides feedback to update the classification of detected objects. By tracking the movement and position of detected objects across multiple sensor readings, the system can determine whether an object is a stationary machine component or a foreign object that requires alerting.
3Area of stationary object
If sensors are positioned to detect objects in all directions, then complete monitoring coverage is achieved, but the system cannot distinguish between machine components and foreign objects
Solution Approach 1:
Multiple sensors are positioned at different locations to cover different areas, creating a segmented detection network. Each sensor has a defined field of view, and the controller correlates data from multiple sensors to build a comprehensive spatial map that distinguishes machine components from foreign objects based on their positions and movements across the segmented detection zones.
Solution Approach 2:
The system uses spatial correlation across multiple sensor dimensions to identify objects. By analyzing the three-dimensional positions and movement patterns of detected objects relative to the machine structure, the system can distinguish between machine components (which follow expected movement patterns) and foreign objects (which do not), adding a dimensional aspect to object identification.
Data Source
AI summary
A nuisance condition detection system for a work machine includes an object detection sensor. The object detection sensor detects an object present in a field of view of the object detection sensor. The object detection sensor generates a first information pertaining to the object present in the field of view of the object detection sensor. The nuisance condition detection system also includes a controller. The controller includes one or more memories and one or more processors. The one or more processors receive the first information pertaining to the object from the object detection sensor. The one or more processors analyze the first information to determine if the object detected by the object detection sensor corresponds to a component of the work machine. The one or more processors prevent a generation of an alert if the object corresponds to the component of the work machine.