Signal Processing for User Traffic Analysis
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Solution Overview
Problem
Current camera-based user traffic analysis methods in spatial objects are resource-intensive due to large image data requirements, consuming excessive bandwidth and computing resources.
Innovation Solution
Deploying signal collection devices to gather radio signals from terminal devices, generating signal time series based on collection time points and signal intensities, and segmenting these series to determine user presence and duration within a spatial object, thereby reducing data volume and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera-based user traffic analysis is used, then user presence detection accuracy is improved, but bandwidth consumption and computing resource usage increase significantly
Solution Approach 1:
The patent extracts only the essential information (signal intensity and time series data) from the terminal devices rather than transmitting complete image data. This extraction principle reduces data volume significantly while retaining sufficient information for user presence detection, thereby resolving the contradiction between detection accuracy and resource consumption.
Solution Approach 2:
Instead of using original image data, the patent creates simplified representations in the form of signal intensity time series. This copying approach maintains the essential characteristics needed for analysis (user presence, duration) while dramatically reducing data complexity and resource requirements for transmission and processing.
2Loss of energy
If signal time series data is transmitted instead of image data, then bandwidth resource consumption is reduced, but user traffic analysis capability must be maintained
Solution Approach 1:
The patent changes the parameters being transmitted from spatial image data to temporal signal intensity data. By focusing on how signal intensity varies over time rather than spatial distribution, the system achieves reliable user traffic analysis (presence detection, duration measurement) with significantly reduced bandwidth consumption.
Solution Approach 2:
The patent segments the continuous signal time series into discrete intervals and analyzes specific segments to determine user presence and duration. This segmentation approach maintains analysis reliability by systematically processing time-divided data while reducing overall data transmission requirements compared to continuous image streams.
Data Source
AI summary
The disclosure describes a method and device for signal processing. The method includes generating a signal time series associated with a terminal device based on time points for signal collection and intensities of signals collected at the time points collected from the terminal device by signal collection devices deployed in a spatial object; obtaining at least one segment of the signal time series by segmenting the signal time series according to a pre-generated segmenting interval; and determining, for the at least one segment, if a user of the terminal device is located in the spatial object during a continuous period of time included in the at least one segment. The disclosure may be used to statistically analyze user traffic in a spatial object and reduce resource consumption.