Terminal Movement Analysis for Accurate Close Contact Screening
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Solution Overview
Problem
Current methods for screening close contacts of infectious disease cases are time-consuming and labor-intensive, often missing short-distance travel and misidentifying contacts due to limitations in travel information and mobile network screening.
Innovation Solution
A method using network elements to analyze movement data of terminal devices, identifying close contacts by overlapping movement tracks and shared events, applicable to both long-distance and short-distance travel scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual travel information screening is performed, then close contacts can be identified, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical screening processes with automated electronic systems. Network elements automatically obtain terminal device data, determine movement analysis results including movement tracks and movement manners, and identify close contacts through algorithmic comparison, eliminating the need for manual information processing and significantly reducing screening time while maintaining identification accuracy.
Solution Approach 2:
The patent introduces network elements as intermediaries between terminal devices and the screening system. These network elements obtain terminal device data, perform movement analysis, and facilitate automated close contact identification, serving as a mediating layer that enables efficient automated processing without direct manual intervention.
2Adaptability or versatility
If travel information screening is performed, then long-distance travel close contacts can be identified, but short-distance intra-city travel cannot be screened
Solution Approach 1:
The patent creates a universal screening system that handles multiple travel scenarios through a single unified approach. The movement analysis mechanism determines movement tracks and movement manners that apply to both long-distance and short-distance travel, enabling the system to identify close contacts across all travel distances without requiring separate screening processes.
Solution Approach 2:
The patent changes the screening parameters from real-name information (travel-specific) to movement track and movement manner data (location-specific). This parameter transformation allows the system to screen based on actual movement patterns rather than transportation records, thereby covering both long-distance and short-distance travel scenarios uniformly.
3Productivity
If mobile network screening based on coverage area is performed, then screening can be automated, but misidentification and missed identification occur due to cell camping variations
Solution Approach 1:
The patent changes the screening parameter from static coverage area (cell ID) to dynamic movement track and movement manner. Instead of assuming all devices in a cell are close contacts, the system analyzes actual movement patterns including location sequences, movement speeds, and movement manners, providing more accurate identification that accounts for individual device trajectories rather than relying on static geographic boundaries.
Solution Approach 2:
The patent performs preliminary determination of movement analysis results including movement tracks and movement manners before final close contact identification. This preliminary analysis of movement patterns allows the system to pre-filter and pre-identify potential close contacts based on their movement characteristics, reducing both false positives and false negatives in the final identification.
Data Source
AI summary
A method and an apparatus for determining a terminal device in close contact with another terminal device are provided. The method includes: A first network element obtains data of a plurality of terminal devices and an identifier of a first terminal device. The first network element determines, based on the data of the plurality of terminal devices, movement analysis results respectively corresponding to the plurality of terminal devices. The movement analysis results respectively corresponding to the plurality of terminal devices include a movement analysis result of the first terminal device. The first network element determines at least one second terminal device based on the movement analysis results respectively corresponding to the plurality of terminal devices. A movement track of the second terminal device overlaps a movement track of the first terminal device, a movement manner of the second terminal device is the same as a movement manner of the first terminal device on an overlapping movement track, and at least one preset event experienced by the second terminal device is the same as a preset event experienced by the first terminal device on the overlapping movement track. In the foregoing method, a close contact can be accurately located.