Network Element Terminal Association Emergency Event Risk
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Solution Overview
Problem
Existing methods for identifying users associated with emergency events are inefficient, requiring offline data collection and manual verification, which delays the determination of risk levels and consumes significant time and resources.
Innovation Solution
An information processing method where a first network element receives data analytics information from a data analytics network element, including terminal identifiers, activity levels, moving trajectories, and risk information, to determine the association relationship between a terminal and an emergency event, thereby facilitating timely risk assessment and emergency processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If offline information collection methods are used to screen users associated with emergency events, then personnel can obtain user association information, but the process consumes significant time and labor costs and cannot determine risk degrees in time
Solution Approach 1:
The patent replaces the manual mechanical information collection process with an automated electronic system. Network elements collect terminal data, data analytics network elements process this data to generate analytics information including risk degrees, and association determination network elements automatically determine associations between terminals and emergency events. This substitution of manual screening with automated electronic processing resolves the contradiction by eliminating time-consuming manual labor while maintaining accurate risk degree determination.
Solution Approach 2:
The system enables self-service by allowing terminal devices to automatically provide their own data (location, identification information) to network elements without requiring manual intervention. The automated data collection and processing chain allows the system to self-determine associations and risk degrees without human personnel needing to conduct offline screenings, thereby reducing both time consumption and labor costs while preserving measurement precision.
2Productivity
If manual offline screening is conducted to determine user associations with emergency events, then association information can be obtained, but the process is inefficient and cannot provide timely risk assessment
Solution Approach 1:
The patent replaces inefficient manual screening with an automated electronic processing system that collects terminal data through network elements, analyzes this data to determine associations with emergency events, and simultaneously calculates risk degrees. This automated system dramatically improves productivity by eliminating manual labor bottlenecks while maintaining measurement precision through systematic data analysis procedures that accurately assess risk degrees for each terminal.
Solution Approach 2:
The system performs preliminary actions by continuously collecting and pre-processing terminal data (location information, identification data) before emergency events occur or as they occur. This pre-collected data is immediately available when emergencies arise, allowing the system to rapidly determine associations and risk degrees without starting from scratch. This preliminary data preparation improves productivity while ensuring accurate risk assessment through pre-validated data collection methods.
3Loss of information
If offline data collection methods are used to identify users associated with emergency events, then user information can be screened, but significant labor costs are consumed
Solution Approach 1:
The patent implements a universal automated system where network elements perform multiple functions: collecting terminal identification data, gathering location information, determining associations with emergency events, and calculating risk degrees. This multi-functional system replaces multiple separate manual processes (information collection, data analysis, association determination, risk assessment) with a single integrated automated platform. The result is complete user association information capture without the high labor costs of manual multi-step processes, as the unified system handles all tasks efficiently.
4Ease of operation
If manual information collection personnel screen users door to door, then association information can be obtained, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the cumbersome mechanical process of door-to-door screening with an automated electronic system that collects terminal data through network infrastructure. Instead of personnel physically visiting locations, the system electronically gathers identification and location data from terminals, automatically determines associations with emergency events, and rapidly produces results. This substitution dramatically improves ease of operation by eliminating the complexity of manual fieldwork while reducing time consumption through automated processing.
Data Source
AI summary
The present disclosure relates to information processing methods, apparatus, and systems. In one example method, a first network element receives data analytics information from a first data analytics network element, where the data analytics information includes one or more of an identifier of a first terminal, activity degree information of the first terminal, moving trajectory information of the first terminal, and first risk information of the first terminal. The first network element determines an association relationship between the first terminal and an emergency event based on the data analytics information.