Noise Data Processing for Indoor Site Map Verification
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Solution Overview
Problem
Existing site maps inside buildings or complexes often fail to reflect current area uses, leading to inefficiencies in maintaining accurate maps, as manual surveys are cumbersome and inefficient.
Innovation Solution
A computer-implemented method that processes noise data from noise capture reports to determine a noise context, which is then used to verify or update site maps by determining intended use and frequency of use for areas or locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual surveys are used to update site maps, then map accuracy can be maintained, but the process becomes cumbersome and inefficient
Solution Approach 1:
The patent replaces manual mechanical surveying processes with automated acoustic field sensing and data processing systems. Mobile devices equipped with microphones and processors automatically capture acoustic data, determine noise contexts, and update maps without human intervention in the field, thereby maintaining accuracy while dramatically improving efficiency
Solution Approach 2:
The system enables automatic self-updating of site maps through acoustic monitoring. The mobile devices and server work autonomously to collect noise data, process it into contextual information, and update map representations without requiring manual surveyors, making the map maintenance process self-service oriented
2Loss of information
If manual surveys are conducted regularly to keep maps up-to-date, then current area uses are reflected, but resource consumption increases
Solution Approach 1:
Instead of continuous manual surveys, the system implements periodic acoustic monitoring through mobile devices that automatically capture noise data at intervals. This periodic sampling maintains information freshness about area usage while consuming minimal resources, as the system only activates when updates are needed rather than continuously operating
Solution Approach 2:
Manual survey resources are replaced with automated acoustic sensing that consumes minimal energy. The system uses passive acoustic field detection through mobile device microphones rather than active manual surveying, dramatically reducing resource consumption while maintaining continuous information freshness about site usage patterns
Data Source
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AI summary
It is inter-alia disclosed a method comprising: - obtaining or holding available (401) a plurality of noise capture reports captured on a site, wherein the site is at least partially inside a building or a complex of buildings, wherein each noise capture report of the plurality of noise capture reports includes (i) respective position data representing a respective estimate of a respective capture position, (ii) respective noise data representing one or more respective noise characteristics captured at the respective capture position on the site, and (iii) respective time stamp data representing a respective capture time of the respective one or more noise characteristics at the respective capture position; and - processing (402) noise data represented by one or more noise capture reports of the plurality of noise capture reports to determine a respective noise context associated with a respective area or location on the site.