Remote Sensing Scan Geometry Optimization
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Solution Overview
Problem
Conventional remote sensing systems face inaccuracies and inefficiencies due to fixed scan geometry configurations, which are not adaptable to changing conditions during measurement campaigns, leading to suboptimal data acquisition and performance in energy capture devices.
Innovation Solution
A method and system that dynamically adjust the scan geometry configuration of remote sensing devices based on real-time measurement data acquired during the campaign, allowing for optimal configuration changes to match varying conditions, such as wind or tidal conditions, by selecting from pre-determined configurations or recalculating the optimal scan geometry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed scan geometry configuration is used in remote sensing devices, then the device complexity is reduced and ease of operation is improved, but the measurement precision deteriorates due to inability to adapt to changing conditions
Solution Approach 1:
The patent implements dynamic adjustment of scan geometry configuration by enabling the remote sensing device to switch between multiple pre-determined scan geometries based on real-time measurement data. The system transitions from a static fixed configuration to a dynamic adaptive configuration that responds to changing environmental conditions, thereby improving measurement precision without requiring complex real-time recalculation algorithms
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring measurement data quality and using this information to automatically adjust the scan geometry configuration. The measurement data feeds back into the control system, which then selects the optimal pre-determined scan geometry to maintain high measurement precision under varying conditions
2Adaptability or versatility
If a fixed scan geometry configuration is used, then the device complexity is reduced, but the adaptability deteriorates as the device cannot respond to changing measurement conditions
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing multiple optimal scan geometry configurations before the measurement campaign begins. These pre-determined scan geometries are prepared in advance for various possible measurement conditions, allowing the system to quickly adapt to changing conditions by selecting from the pre-prepared configurations without performing complex real-time calculations
Solution Approach 2:
The system transitions from a static fixed configuration to a dynamic adaptive configuration that can switch between multiple pre-determined scan geometries. This dynamic capability enables the device to adapt to changing measurement conditions while maintaining relatively simple device architecture by utilizing pre-computed configurations
3Productivity
If measurement data is acquired using a non-optimal scan geometry configuration, then the device operates continuously without reconfiguration, but the productivity deteriorates due to reduced data quality and relevance
Solution Approach 1:
The system uses feedback from measurement data quality assessment to trigger reconfiguration events. When the current scan geometry configuration produces suboptimal data quality or when environmental conditions change beyond predefined thresholds, the system automatically initiates a reconfiguration to a more suitable pre-determined scan geometry, thereby maintaining high productivity throughout the measurement campaign
Solution Approach 2:
The system changes operational parameters by switching between different pre-determined scan geometry configurations based on measurement data quality and environmental conditions. This parameter change approach allows the system to optimize productivity by selecting the most appropriate scan geometry for current conditions without requiring complex real-time parameter optimization
Data Source
AI summary
A measurement configuration of a remote sensing device for use in implementing a remote sensing measurement campaign is improved. One method includes adjusting a scan geometry configuration of the remote sensing device during the measurement campaign based on measurement data acquired in a previous scan geometry configuration. In another method, the remote sensing device is configured in a scan geometry configuration having a plurality of scan geometries, and following acquisition of a measurement data set by the remote sensing device at a first time interval, one of the scan geometries indicative of an improved or optimal scan geometry at the first time interval is selected. The remote sensing device forms part of a remote sensing system and includes an optical source emitting a probe as a light beam along different lines of sight. The remote sensing device includes or is operatively associated with a receiver for detecting the reflected probe.