Tariff Data Reverse-Engineering via Call Detail Record Grouping
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Solution Overview
Problem
The existing charging systems face inefficiencies in upgrading to new systems due to data structure differences, leading to potential data loss and the need for repeated manual verification of tariff data, consuming significant computing and human resources.
Innovation Solution
A method and apparatus for analyzing large quantities of call detail records to reverse-derive tariff data, reducing manual dependence and resource consumption by grouping records based on preset rules and using entropy calculations to ensure data consistency between old and new charging systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fee deductions of call detail records are compared repeatedly between old and new charging systems, then data correctness is ensured, but computing resources and time are consumed excessively
Solution Approach 1:
The patent applies preliminary action by performing data structure mapping and consistency rules establishment before the actual fee deduction comparison. The system pre-processes the data by establishing mapping relationships between old and new charging system data structures, and pre-defines consistency rules that will be used during verification, thereby reducing the complexity and resource consumption of subsequent repeated comparisons
Solution Approach 2:
The patent uses copying by creating a mapped representation of the old charging system's data structure in the new charging system. Instead of directly comparing raw data between different data structures, the system creates a copied and transformed version of the old system's data that conforms to the new system's structure, enabling efficient comparison while preserving the original data integrity
2Measurement precision
If manual verification of tariff data is performed repeatedly, then data accuracy is confirmed, but human resources are consumed significantly
Solution Approach 1:
The patent implements self-service by enabling the charging system to automatically verify its own tariff data accuracy. The system uses automatically generated consistency rules and mapping relationships to perform self-verification of fee deductions, eliminating the need for manual intervention while maintaining high data accuracy through systematic automated checking mechanisms
Solution Approach 2:
The patent applies feedback by establishing a closed-loop verification mechanism where the results of fee deduction comparisons are automatically fed back into the system. When inconsistencies are detected, the system automatically adjusts the mapping relationships or consistency rules and re-verifies, creating an iterative self-correcting process that improves data accuracy over time without additional manual effort
3Reliability
If data in the old charging system is continually modified to achieve consistency, then fee deduction correctness is achieved, but the complexity of data processing increases
Solution Approach 1:
The patent applies segmentation by dividing the complex data consistency problem into manageable segments: data structure mapping, consistency rule definition, fee deduction calculation, and comparison verification. Each segment is handled by dedicated processing modules that work independently but coordinate through standardized interfaces, reducing overall system complexity while achieving comprehensive consistency
Data Source
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AI summary
Embodiments of the present invention disclose a tariff data determining method and apparatus. The method in the embodiments of the present invention includes: obtaining a call detail record set, where each call detail record in the call detail record set includes a charging condition, and a charging unit and a fee deduction that are under the charging condition; grouping a plurality of call detail records in the call detail record set according to a preset rule, to obtain a call detail record group, where a same value corresponding to a charging unit in the call detail record group has a correspondence with a unique fee value corresponding to a fee deduction; analyzing the call detail record group, to obtain a data feature; selecting, from a preset tariff model, a target tariff model corresponding to the data feature, where a tariff model is used to calculate the fee deduction based on the charging unit; determining, based on the value corresponding to the charging unit and the fee value corresponding to the fee deduction in the call detail record group, a parameter value corresponding to each tariff parameter in the target tariff model; and determining tariff data based on the parameter value, the target tariff model, and the charging condition. The embodiments of the present invention further provide a tariff data determining apparatus.