Customer Traffic Distribution via Mobile Terminal Clustering
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Solution Overview
Problem
Current methods for obtaining customer traffic distribution in business districts are inaccurate, inefficient, and costly, as they rely on manual observation or limited camera coverage, failing to provide a comprehensive and detailed analysis of customer traffic patterns.
Innovation Solution
A method and device that utilize position information from mobile terminals to determine cluster centers and heat values, generating a customer traffic distribution map without manual recording, thereby reducing costs and improving accuracy and visual representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If manual observation is used to obtain customer traffic data, then human cost is high and only limited area is covered, but the method can obtain traffic flow data
Solution Approach 1:
The patent uses mobile terminal position information as a digital copy/representation of customer presence, replacing manual observation. The position data from mobile devices creates a virtual model of customer distribution that can be processed automatically, eliminating the need for human observers while providing comprehensive coverage of the entire business district.
Solution Approach 2:
The patent replaces the mechanical system of manual observation with an automated information processing system. Mobile terminal position data is collected, processed through clustering algorithms, and transformed into heat map visualizations automatically, substituting human labor with computational processes that provide both wider coverage and lower operational costs.
2Quantity of substance
If video image analysis is used to obtain customer traffic distribution, then only limited area covered by camera is obtained, but visual representation is provided
Solution Approach 1:
The patent uses mobile terminal position information that serves multiple functions: it provides comprehensive spatial coverage across the entire business district, enables automated processing, and delivers both quantitative distribution data and visual heat map representation. This single data source replaces multiple cameras and manual recording, providing universal applicability throughout the study area.
Solution Approach 2:
The patent transitions from two-dimensional camera field-of-view limitations to three-dimensional spatial coverage by utilizing mobile terminal position data that can capture customers throughout the entire business district volume. The heat map visualization then projects this three-dimensional data onto a two-dimensional map, providing both extended coverage and preserved visual representation.
3Productivity
If manual recording is used to organize video results, then detailed analysis is possible, but operating cost is high and efficiency is low
Solution Approach 1:
The patent implements self-service through automated processing of mobile terminal position information. The system automatically clusters position data, calculates heat values, and generates heat map visualizations without requiring manual intervention. This self-organizing process eliminates both labor costs and time delays associated with manual recording while maintaining detailed analytical capabilities.
Solution Approach 2:
The patent incorporates feedback mechanisms where the processed position information continuously updates the heat map visualization, allowing real-time monitoring and analysis of customer traffic distribution. This automated feedback loop replaces manual recording and analysis, providing both high productivity and detailed insights without increasing operational costs.
Data Source
AI summary
A method and a device for obtaining a customer traffic distribution are provided. The method comprises steps of: obtaining position information of mobile terminals; determining at least one cluster center in a preset range and a heat value of each cluster center according to the position information; and generating the customer traffic distribution according to the at least one cluster center and the heat values.