Machine Pose Validation for Reliable Automated Operation
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Solution Overview
Problem
Inaccurate machine data from sensor devices in machines like dozers can lead to unintended operations, causing damage to the machine and other equipment.
Innovation Solution
A method and system that validate machine data by comparing it with validation data generated from a different set of sensor devices, allowing the machine operation to be controlled based on validated data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If machine data from sensor devices is used to control machine operations, then the machine can perform automated operations, but the operations may be inaccurate and cause unintended actions leading to damage
Solution Approach 1:
The system implements feedback by continuously monitoring machine data from sensor devices and comparing it against expected parameters. When deviations are detected, the system adjusts operations or alerts operators, ensuring automated operations remain accurate and reliable while maintaining high extent of automation.
Solution Approach 2:
The patent introduces an intermediary validation layer between sensor data and machine control actions. This intermediary system verifies machine data accuracy before executing operations, preventing unintended actions while maintaining automated operation capability.
2Loss of information
If multiple sensor devices are used to generate machine data, then more comprehensive data is available, but the complexity of validating the data increases
Solution Approach 1:
The patent merges data from multiple sensor devices into a unified machine data set with associated validation information. By combining sensor readings and their validation status into integrated data structures, the system maintains comprehensive information while simplifying the validation process through centralized handling.
Solution Approach 2:
The validation system is designed with universal components that can handle multiple sensor types and data formats through standardized validation routines. This multi-functional approach allows comprehensive data collection from various sensors without proportionally increasing validation complexity.
Data Source
AI summary
A device may receive machine data indicating a pose of one or more components of a machine. The machine data may be generated based on first data from one or more first sensor devices associated with the machine. The device may generate validation data to validate the machine data. The validation data may be generated based on second data from a second set of sensor devices. The device may perform a comparison of the machine data and the validation data and determine, based the comparison, whether the machine data is validated or not validated. The device may selectively control an operation of the machine based on the machine data. Based on determining that the machine data is validated, the operation may be controlled based on the machine data. The operation may be controlled without the machine data based on determining that the machine data is not validated.


