Air Quality Sensor Spatial Distribution Optimization
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Solution Overview
Problem
Current air quality measurement systems face challenges in accurately reflecting and reporting air quality in observation zones, particularly in urban areas, due to difficulties in selecting optimal sensor locations and achieving high spatial resolution, which can be costly and tedious when increasing sensor density.
Innovation Solution
A system that uses a map of the observation area to calculate an optimal spatial distribution of measurement positions or trajectories, minimizing a cost function representative of the difference between modeled and measured air quality values, allowing for improved spatial resolution without the need for local prior measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the spatial density of measuring stations is increased to improve spatial resolution, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies preliminary action by using pre-computed optimal spatial distributions stored in a database. Before actual measurements, the system pre-calculates optimal sensor placements using meshing and cost function minimization, then stores these distributions for direct application. This eliminates the need for real-time optimization during measurements, reducing computational complexity while maintaining high spatial resolution.
Solution Approach 2:
The patent implements dynamics by allowing the spatial distribution of measuring stations to be adaptively selected from multiple pre-computed optimal distributions. The system can dynamically choose different spatial configurations (S1, S2, ..., Sk) from the database based on specific measurement needs, enabling flexible adaptation without fixed rigid structures.
2Measurement precision
If preliminary measurements are conducted to verify location relevance, then measurement precision is improved, but loss of time and productivity decrease
Solution Approach 1:
The patent performs preliminary actions offline by pre-computing optimal spatial distributions using meshing and cost function minimization before actual field measurements. These pre-optimized distributions are stored in a database and directly applied during measurements, eliminating the need for time-consuming preliminary field measurements and verification trials.
Solution Approach 2:
The patent replaces physical trial-and-error measurement verification with computational optimization. Instead of conducting actual preliminary measurements to test location relevance, the system uses mathematical meshing and cost function minimization to computationally determine optimal positions, substituting mechanical field testing with theoretical optimization.
3Measurement precision
If the number of measuring stations is increased to improve spatial resolution, then measurement precision is improved, but loss of energy and cost increase
Solution Approach 1:
The patent changes the optimization parameter from simply increasing the number of sensors to minimizing a cost function that evaluates spatial distribution quality. By varying the spatial arrangement parameters and evaluating them against the cost function, the system identifies optimal configurations that achieve high spatial resolution with minimal sensor count, reducing energy consumption and costs.
Solution Approach 2:
The patent uses mesh points as virtual copies to represent potential measurement locations. Instead of deploying physical sensors at all possible positions, the system creates a computational mesh of the observation zone and uses these virtual points to evaluate and optimize the placement of actual measuring stations, reducing the number of physical devices needed.
Data Source
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AI summary
The invention relates to a system for measuring a physical quantity representative of the air quality in an observation area (1), comprising: - a mapping of the observation area (1), comprising a set V of modeled values representative of the physical quantity; - means for measuring the physical quantity, having a number N of positions or a number N of trajectories in the observation area (1), intended to show a spatial distribution Sopt; - means of calculating Sopt, configured to: • produce a grid of the observation area (1), comprising a number G of points; • calculate, for a given spatial distribution, an estimator of V, V, for each of the G points; • calculate a cost function that represents the difference or likelihood between V and the V values taken at the G points; • extract the spatial distribution Sopt that minimizes or maximizes the cost function.