Alarm Message Processing Through Historical Model Feedback
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Solution Overview
Problem
Security protection products generate a large amount of alarm information, requiring significant time and labor for security operation personnel to analyze and dispose of, with low accuracy due to complex and dynamic operating environments.
Innovation Solution
An alarm message processing method that matches first alarm data to alarm feature information, obtains corresponding historical alarm data and disposal information, generates prompt information for a target model, and receives disposal information to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a model is used for analyzing alarm information, then alarm disposal automation is improved, but accuracy deteriorates due to complex and dynamic operating environments
Solution Approach 1:
The patent introduces alarm feature information as an intermediary between the raw alarm information and the model analysis. The feature extraction module extracts key features from alarm information, and this structured feature data serves as a mediator that enhances the model's understanding capability. This intermediary layer transforms unstructured alarm data into structured features, improving analysis accuracy while maintaining automation.
Solution Approach 2:
The patent replaces the direct model analysis approach with a two-stage system: first extracting alarm features through pattern matching and rule-based methods, then feeding these features to the model. This substitution of the direct mechanical analysis process with a feature-mediated approach resolves the contradiction by providing the model with pre-processed, high-quality input data.
2Measurement precision
If manual alarm disposal is performed by security operation personnel, then accuracy is maintained, but productivity deteriorates due to time-consuming and labor-intensive processes
Solution Approach 1:
The system implements self-service by automatically extracting features from alarm information and generating disposal suggestions without requiring manual intervention at each step. The feature extraction module autonomously processes alarm data, and the model automatically generates disposal recommendations, reducing the burden on security personnel while maintaining high accuracy through structured feature analysis.
Solution Approach 2:
The patent performs preliminary action by extracting alarm features and generating disposal suggestions before security personnel need to make final decisions. This pre-processing of alarm data into structured features and actionable suggestions accelerates the overall disposal process while maintaining accuracy, as personnel only need to review and confirm pre-analyzed results.
3Measurement precision
If alarm feature information matching is performed, then alarm disposal accuracy is improved through historical data, but device complexity increases
Solution Approach 1:
The patent segments the alarm disposal system into distinct functional modules: an alarm feature extraction module that extracts key features from raw alarm information, a matching module that compares features against historical data, and a model analysis module that generates disposal suggestions. This segmentation improves accuracy through specialized processing at each stage while managing complexity through modular design, where each module has a specific, well-defined function.
Data Source
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AI summary
This application provides an alarm message processing method. The method includes: obtaining (S101) first alarm data generated by a security detection module; matching (S102) the first alarm data to at least one piece of alarm feature information; obtaining (S103) at least one piece of target historical alarm data corresponding to target alarm feature information and alarm disposal information of the at least one piece of target historical alarm data; and generating (S104) first prompt information at least based on the first alarm data, the at least one piece of target historical alarm data, and the alarm disposal information of the at least one piece of target historical alarm data, and sending the first prompt information to a target model, and receiving first alarm disposal information for the first alarm data that is returned by the target model.