3D Camera Placement Planning for Emission Source Coverage
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Solution Overview
Problem
Current processes for determining the optimal placement of LiDAR cameras for emission detection at worksites are inconsistent and sub-optimal due to the need for manual estimation by trained engineers, which is limited by varied infrastructures, line-of-sight obstructions, and safety and power considerations.
Innovation Solution
A systematic process using 3D modeling to identify potential emission sources and camera locations, calculating coverage values and ratios, and optimizing camera placement based on coverage ratios or loss values to ensure effective emission detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual estimation by trained engineers is used to determine camera placement, then expertise and experience can be applied, but the results are inconsistent and sub-optimal
Solution Approach 1:
The patent replaces the manual mechanical process of engineer estimation with an automated computational system that uses 3D modeling and algorithmic optimization to determine camera placement, eliminating human subjectivity and inconsistency
Solution Approach 2:
The system transforms the camera placement problem from a subjective expert judgment into an objective optimization problem by defining quantifiable parameters such as coverage area, detection probability, and constraint satisfaction metrics that can be mathematically optimized
2Measurement precision
If LiDAR cameras are placed to maximize emission detection coverage, then detection capability is improved, but placement is limited by varied infrastructures, line-of-sight obstructions, and safety considerations
Solution Approach 1:
The patent applies different placement criteria and constraints to different locations within the work site based on local characteristics such as infrastructure type, obstruction patterns, and safety requirements, rather than using a uniform approach
Solution Approach 2:
The system moves from two-dimensional plan views to three-dimensional spatial modeling to account for vertical obstructions, elevation differences, and line-of-sight relationships that cannot be captured in flat diagrams
3Measurement precision
If multiple LiDAR cameras are deployed to cover all potential emission sources, then comprehensive detection is achieved, but cost and complexity increase
Solution Approach 1:
The optimization algorithm determines the minimum necessary number of cameras required to achieve adequate coverage of critical emission sources, avoiding both under-coverage and excessive deployment
Solution Approach 2:
The system evaluates multiple potential camera locations and their respective coverage areas to identify positions that maximize detection capability while minimizing the total number of cameras needed
Data Source
AI summary
Process for locating emission detecting camera(s) at a worksite. The process can include creating a site model, completing a camera coverage calculation loop that can include choosing a first camera location from the site model, and completing a source calculation loop to provide a plurality of coverage values of the first camera location for a plurality of potential emission sources in the site model. The process can also include calculating a coverage ratio from the plurality of coverage values to provide a first coverage ratio. The process can also include repeating the camera coverage calculation loop for an additional potential camera location from the site model to provide a plurality of coverage ratios. The process can also include creating an ordered list of the potential camera locations based on the coverage ratios. The process can also include choosing a camera position at the worksite from the ordered list.