Automated System Diagnostic Information Collection via Alarm Mapping
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Solution Overview
Problem
The conventional process of collecting system diagnostic information is time-consuming and resource-intensive, requiring multiple communications between users and on-site technical support professionals, leading to poor user experience and inefficient problem-solving.
Innovation Solution
A method and device that automatically collect system diagnostic information by determining if a received system alarm corresponds to a predefined to-be-monitored alarm, mapping it to a specific system module, and acquiring associated diagnostic information, thereby reducing the need for manual feedback and long-term communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual feedback collection process is used, then diagnostic information can be obtained, but time consumption and resource requirements increase significantly
Solution Approach 1:
The system automatically collects diagnostic information through self-service mechanisms. When an alarm occurs, the system autonomously identifies the alarm type, maps it to the corresponding system module, and retrieves relevant diagnostic information without requiring manual intervention from technical support professionals or users. This self-service approach eliminates the need for repeated communications while ensuring complete diagnostic information collection.
Solution Approach 2:
The system performs preliminary actions by pre-establishing the mapping relationship between alarm types and system modules, and pre-organizing diagnostic information collection pathways. When an alarm occurs, the system can immediately execute the pre-planned information collection process, avoiding the need for ad-hoc manual gathering and significantly reducing problem-solving time.
2Loss of information
If manual feedback collection process is used, then diagnostic information can be obtained, but human resource requirements increase
Solution Approach 1:
The system replaces complex multi-party communication processes with automated self-service mechanisms. The system autonomously completes alarm identification, module mapping, and diagnostic information retrieval, eliminating the need for technical support professionals to repeatedly contact users and coordinate information gathering across multiple parties.
Solution Approach 2:
The system introduces an intermediary automated processing layer between alarm occurrence and diagnostic information collection. This intermediary automatically interprets alarm types, determines corresponding system modules through predefined mappings, and retrieves diagnostic information, thereby simplifying the overall process complexity and reducing human resource requirements.
3Productivity
If automated alarm monitoring is implemented, then time and resources are saved, but system complexity increases
Solution Approach 1:
The automated system is segmented into distinct functional modules: alarm reception module, alarm type identification module, system module mapping module, and diagnostic information retrieval module. Each module performs a specific function, making the overall complex automation process manageable through modular design. The segmentation allows the system to achieve high productivity while keeping the complexity of individual components relatively simple.
Solution Approach 2:
The system implements a universal mapping relationship between alarm types and system modules that can handle multiple alarm scenarios through a single standardized framework. This multi-functional approach allows the automated system to process various alarm types and retrieve corresponding diagnostic information using the same core mechanism, thereby achieving high productivity without proportionally increasing system complexity.
Data Source
AI summary
Techniques may involve determining, according to determination that a received system alarm corresponds to a predefined to-be-monitored alarm, the received system alarm as a target system alarm. The techniques may further involve determining a system module corresponding to the target system alarm based on a predefined mapping relationship between the system alarm and the system module. In addition, the techniques may further involve acquiring the system diagnostic information of the system module which is associated with the target system alarm. In this way, time for collecting system diagnostic information can be reduced and user experience can be improved.