RF Ablation Log Processing via Segmented Classification
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Solution Overview
Problem
Radio frequency ablation (RFA) log files are scattered and disordered, leading to inefficient management and lack of relevance in tumor treatment systems.
Innovation Solution
A method and system for processing radio frequency operation logs, involving real-time data acquisition, classification, and periodic analysis of running and operation logs, stored in specific files, utilizing a blockchain network for secure storage and improved accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If log files are recorded in a scattered and disordered manner, then data collection is simple, but management efficiency and data relevance deteriorate
Solution Approach 1:
The patent segments log files into two distinct categories: running logs (system operation status, hardware parameters) and operation logs (treatment procedures, clinical data). Each type is stored in separate log files with dedicated classification standards, transforming the scattered disordered management into a structured segmented system that improves management efficiency without excessive complexity
Solution Approach 2:
The patent introduces a new dimension of classification by creating a dual-log system with different classification dimensions. Running logs are classified by system components and parameters, while operation logs are classified by treatment stages and clinical parameters. This dimensional differentiation resolves the contradiction by organizing data along multiple axes rather than a single flat structure
2Ease of operation
If log files are classified and managed systematically, then management efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by establishing classification standards and log file templates before actual logging occurs. The system pre-defines categories, data structures, and storage formats for both running and operation logs. This preliminary structuring makes subsequent log management easier without requiring complex real-time processing, as the classification framework is already in place
Solution Approach 2:
The system employs automatic classification mechanisms that self-categorize log data based on pre-configured rules. The computer device automatically identifies and sorts running logs versus operation logs, and further subclassifies them according to their content characteristics. This self-service classification reduces manual intervention complexity while maintaining high ease of operation for data retrieval
3Productivity
If periodic analysis is performed on log files, then maintenance and operational efficiency improve, but data processing time increases
Solution Approach 1:
The patent implements periodic action by scheduling log file analysis at predetermined intervals rather than continuously. The system analyzes running logs and operation logs at specified time points (e.g., after treatment sessions, at scheduled maintenance intervals). This periodic approach maintains operational efficiency by providing timely insights while avoiding the continuous processing overhead that would cause excessive time loss
Solution Approach 2:
The system applies partial action by selectively analyzing only the necessary portions of log files based on the analysis purpose. For maintenance efficiency, it focuses on running logs related to system health parameters; for operational efficiency, it prioritizes operation logs containing treatment outcome data. This selective partial analysis reduces overall processing time while maintaining the productivity benefits of comprehensive monitoring
Data Source
AI summary
A radio frequency operation log processing method, apparatus, and system, and a computer-readable storage medium are provided. The method includes: acquiring, in real time, target running data and radio frequency operation data of a target device running in a radio frequency operation system; generating a running log according to the target running data, and classifying and storing the running log in a running log file according to a preset first classification; generating an operation log according to the radio frequency operation data, and classifying and storing the operation log in an operation log file according to a preset second classification; and acquiring and analyzing the running log file and the operation log file at a preset interval, to obtain maintenance data and operation result data of the radio frequency operation system.