Spatial Data Creation Using Subspace Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for calculating estimated values using kriging and IDW methods suffer from errors due to sensor installation conditions and obstacles, requiring preparation of external reference information for confidence levels and influence levels.
Innovation Solution
A spatial data creating apparatus that receives data for estimation and evaluation, classifies evaluation data based on differences with spatial data, creates subspace data using selected sensors, and evaluates whether to adopt this subspace data by comparing it with evaluation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If kriging or IDW method is used to calculate estimated values, then spatial data can be created, but errors occur in the estimated values due to sensor installation conditions and obstacles
Solution Approach 1:
The patent divides the measurement area into multiple sub-areas based on obstacle information and sensor installation conditions. Each sub-area is processed separately to create sub-space data, which reduces the impact of local obstacles and sensor conditions on the overall spatial data accuracy.
Solution Approach 2:
The patent applies different processing methods and parameters to different sub-areas based on their specific characteristics (obstacle density, sensor distribution). This allows each sub-area to be optimized independently, improving the overall accuracy of spatial data by accounting for local variations in sensor conditions and obstacles.
2Measurement precision
If confidence level and influence level are used to improve accuracy, then external reference information must be prepared, which increases system complexity
Solution Approach 1:
The system automatically generates sub-area divisions and selects appropriate sensors based on obstacle information and sensor installation conditions, without requiring external reference information. The system serves itself by using its own measurement data and obstacle maps to determine the best processing approach for each sub-area.
Solution Approach 2:
The patent performs preliminary classification of the measurement area into sub-areas based on obstacle information before creating spatial data. This preliminary action allows the system to pre-determine which sensors and methods to use for each sub-area, eliminating the need for external reference information during the actual spatial data creation process.
Data Source
AI summary
A spatial data creating apparatus receives, the data for estimation being used to create spatial data that associate a location of a target area with value relating the location based on data acquired from a first group of sensors, the data for evaluation being acquired from a second group of sensors installed at a different location(s), classifies the data for evaluation based on difference between the data for evaluation and the value of the spatial data, creates subspace data that forms a part of the spatial data using data acquired from the first group of sensors selected based on the location(s) at which the data for evaluation is acquired, the location(s) being classified by the data classifying part among the data for estimation, determines whether or not the subspace data is adopted by comparing the subspace data with the data for evaluation.