Laser Radar Wind Field Measurement with AI Blind Region Estimation
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Solution Overview
Problem
Current methods for measuring wind fields, such as using multiple instruments or simulations, face limitations like blind spots due to structures and lack of real-time data, especially in environments where instrument placement is restricted or resource-intensive simulations are impractical.
Innovation Solution
A laser radar device equipped with a signal processor that includes a wind field calculator, blind region extractor, and learning algorithm calculator, which uses Doppler frequency analysis and artificial intelligence to estimate wind velocities in blind regions, thereby generating wind field data without structural blind spots in a shorter time than fluid simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple measuring instruments are arranged to eliminate blind spots, then measurement coverage is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The patent applies multi-functionality by enabling a single laser radar device to perform both wind field measurement and blind region detection. The device uses its laser beam to both measure wind velocity in observable regions and identify blind regions where structures block the laser, thereby eliminating the need for multiple separate instruments to achieve complete wind field coverage.
Solution Approach 2:
The patent transitions from a single-observation-point approach to a multi-point observation approach by moving the laser radar device to multiple locations. This dimensional change allows the device to collect wind field data from different perspectives and combine the information to reconstruct the complete wind field, including areas that would be blind spots from any single location.
2Measurement precision
If fluid simulation is performed to obtain wind field data, then comprehensive wind field information is achieved, but time consumption increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-establishing the geometric relationships between structures and potential blind regions. The system pre-processes structural data to identify where blind regions will occur, then uses this pre-analyzed information to quickly estimate wind velocities in blind regions without performing time-consuming fluid simulations during actual measurement.
Solution Approach 2:
The patent uses copying by creating a geometric model of the wind field based on measurements from observable regions. Instead of performing full fluid simulations, the system copies the wind flow patterns from measured areas and uses geometric relationships to infer wind velocities in blind regions, significantly reducing computation time while maintaining accuracy.
3Measurement precision
If measuring instruments are placed in restricted areas, then measurement coverage is improved, but ease of operation and installation become difficult
Solution Approach 1:
The patent overcomes placement restrictions by utilizing the temporal dimension - moving the laser radar device to multiple locations at different times rather than requiring simultaneous placement of multiple instruments. This allows comprehensive wind field measurement using a single portable device that can be repositioned, avoiding the need to access restricted areas for permanent instrument installation.
4Measurement precision
If traditional wind field measurement methods are used, then blind spots occur due to structures, but the system complexity remains low
Solution Approach 1:
The patent introduces an intermediary - the blind region estimation function - that bridges the gap between observable regions and blind regions. The system uses wind velocity data from observable regions as input, processes it through geometric relationship analysis, and generates estimated wind velocity data for blind regions, thereby eliminating blind spots without requiring direct measurement in those areas.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the generation of comprehensive wind field data without structural blind spots in a significantly shorter time than traditional fluid simulations, facilitating more accurate and efficient wind field measurements.
Implementation Method 1
the wind field calculator obtains a Doppler frequency from a peak position of a spectrum at each of observation points and calculates a wind velocity
Data Source
AI summary
A laser radar device according to the present disclosure technology includes a signal processing unit, in which the signal processing unit includes a wind field calculating unit, a blind region extracting unit, and a learning algorithm unit, the wind field calculating unit obtains a Doppler frequency from a peak position of a spectrum at each of observation points and calculates a wind velocity, the blind region extracting unit extracts a blind region on the basis of a geometrical relationship including a laser irradiation direction and disposition of a structure, and the learning algorithm unit includes a learned artificial intelligence, and estimates a wind velocity value in the blind region.