Network Planning Data Consistency via Automated Intermediate File Comparison
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Solution Overview
Problem
Existing methods for ensuring data consistency in network management are inefficient and require manual intervention, as they struggle to accurately and automatically synchronize planning data with actual network configurations, leading to inconsistencies that affect network performance.
Innovation Solution
A method and device that derive network management data, convert planning data into an intermediate file matching the network management format, and compare the two, using identification information to modify or delete data as needed, ensuring consistency through automated updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual parameter checking is performed to ensure data consistency, then data accuracy is improved, but time consumption increases significantly
Solution Approach 1:
The patent replaces manual mechanical checking with automated electronic data comparison systems. The network management system automatically compares planning parameters with actual network parameters through electronic databases and processing algorithms, eliminating the need for manual inspection while maintaining high accuracy in detecting inconsistencies.
Solution Approach 2:
The system enables self-service data consistency verification through automated comparison mechanisms. The network management system independently performs data validation, identification, and discrepancy detection without requiring external manual intervention, allowing continuous automatic monitoring of parameter consistency across the network.
2Productivity
If automated data comparison is implemented to reduce manual work, then time efficiency is improved, but the ability to handle complex parameter relationships deteriorates
Solution Approach 1:
The patent introduces an intermediary identification layer that extracts and flags specific discrepancy types (additions, deletions, modifications) from the automated comparison process. This intermediary step translates complex parameter relationship changes into standardized identification results, making them easily interpretable and actionable while maintaining high processing efficiency.
Solution Approach 2:
The system segments the complex data consistency checking process into distinct functional modules: data collection, comparison execution, discrepancy identification, and result generation. Each module handles specific aspects of the comparison, allowing the system to efficiently process complex parameter relationships by breaking them down into manageable, automated steps.
3Measurement precision
If comprehensive parameter comparison is performed to ensure complete data consistency, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts only the essential comparison logic and discrepancy identification mechanisms from the overall system, separating the core consistency checking function from auxiliary processes. By focusing on extracting and comparing only the critical planning parameters and actual network parameters, the system achieves comprehensive coverage without requiring overly complex system architecture.
Data Source
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AI summary
Disclosed are a method and device for guaranteeing consistency of planning data, which relate to the field of wireless networks. The method comprises: according to an actual configuration of a network, the network management data about an actual operation of the network is derived; the planning data is converted into an intermediate file with a same format as that of the network management data; the intermediate file is compared with the network management data, and the network management data is updated according to the comparison result to enable the planning data to be consistent with the network management data. The present invention can guarantee that the planning data is consistent with the network management data, thereby guaranteeing the performance reliability of the network during operation.