Wireless Storage Fault Notification System
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Solution Overview
Problem
Current systems for monitoring and managing data storage systems face challenges during non-business hours due to the absence of experienced personnel, complex problem prioritization, and division of responsibility, leading to potential downtime and data loss.
Innovation Solution
A system utilizing wireless mobile devices to automatically and continuously monitor data storage systems, authenticating and communicating error notifications and solutions to responsible personnel through a knowledge base, ensuring prompt notification and action regardless of time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring systems are used during non-business hours, then system monitoring continues, but response time increases due to absence of personnel
Solution Approach 1:
The patent introduces an automated notification system that acts as an intermediary between the storage system and maintenance personnel. When faults are detected, the system automatically sends notifications to appropriate personnel via multiple channels (SMS, email, pager), eliminating the need for continuous human presence while maintaining rapid response capability.
Solution Approach 2:
The monitoring system performs self-service by automatically detecting faults, determining their severity, identifying responsible personnel, and sending notifications without human intervention. This allows the system to monitor itself continuously while human personnel remain unavailable during non-business hours.
2Measurement precision
If complex problem prioritization and division of responsibility are implemented, then problem resolution accuracy improves, but notification complexity increases
Solution Approach 1:
The patent segments the notification system into distinct functional modules: fault detection module, severity assessment module, personnel identification module, and notification delivery module. Each module handles a specific aspect of the complex process, making the overall system more manageable and maintainable despite its complexity.
Solution Approach 2:
Different parts of the system have specialized functions tailored to their specific roles. The severity assessment logic is localized to evaluate fault impact, while the personnel identification logic is localized to match faults with responsible individuals based on organizational structure. This distribution of specialized functions reduces overall complexity.
Data Source
AI summary
A method of monitoring and managing a storage device to detect a fault in a storage group, the storage device having a plurality of storage groups and a plurality of responsible users, and communicating causes of the fault and likely solutions to one or more responsible users, each having an assigned wireless mobile device. Upon a fault occurring, an appropriate responsible user is identifying for the storage group based upon the particular nature of the fault. Following authentication of the storage group, error codes and fault information are transmitted to the wireless mobile device and to a knowledge base which returns to the mobile device information as to possible causes for and solutions to correct the fault.