Base Station Health Management via Data Model Segmentation
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Solution Overview
Problem
Current base station operation management systems lack intuitive monitoring of operating status, classification of key performance indicators (KPI), and predictive analysis, making it difficult to anticipate and prepare for upcoming performance and fault issues.
Innovation Solution
A management method and system for base station operation that establishes a data model for remote monitoring, classifies base stations, collects and filters KPI and alarm events, and performs predictive analysis using machine learning algorithms to evaluate health levels and anticipate potential problems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional base station operation management is used, then system complexity is reduced, but monitoring capability and predictive analysis are insufficient
Solution Approach 1:
The patent segments the base station operation management system into multiple functional modules including data collection module, data processing module, health evaluation module, and predictive analysis module. Each module handles specific tasks independently, improving monitoring precision while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces a management system as an intermediary between base stations and operators. This intermediary collects, processes, and analyzes operation data, providing comprehensive monitoring capabilities without requiring direct complex interactions between all system components.
2Reliability
If comprehensive data collection and analysis are implemented, then predictive analysis capability is improved, but data processing complexity increases
Solution Approach 1:
The patent implements preliminary classification of operation data into different categories (performance data, fault data, maintenance data) and pre-processes data before detailed analysis. This preliminary action organizes raw data into structured formats, improving predictive analysis reliability while reducing the complexity of subsequent processing through systematic data organization.
Solution Approach 2:
The patent applies different processing strategies to different types of data based on their specific characteristics. Performance data receives one type of analysis while fault data receives another, allowing optimized processing for each data category and reducing overall processing complexity through differentiated handling.
3Loss of information
If detailed operation status monitoring is implemented, then operational awareness is improved, but information processing requirements increase
Solution Approach 1:
The patent extracts only the most critical operation parameters and key performance indicators from the vast amount of base station data. By focusing on essential information such as health status, performance metrics, and fault indicators, the system maintains high operational awareness while significantly reducing the volume of information requiring detailed processing.
Solution Approach 2:
The patent implements monitoring at multiple levels of detail, providing comprehensive information only where necessary and summarized information elsewhere. This partial detailed action ensures operational awareness is maintained in critical areas while reducing overall information processing requirements through selective detail provision.
Data Source
AI summary
In a method for managing proper operation of a base station, a base station data model is established to realize remote monitoring integration of different base stations; a key performance indicator (KPI) and an alarm event uploaded by the base stations are collected through the base station data model; cells covered by the base stations are grouped, and a health management model for base station operation is built based on cell grouping, KPI, and the alarm event. KPIs and the alarm events uploaded by the base stations are received, and a health level of each base station is updated according to the base station health management model.