Assessment of humidity and non-humidity driven corrosion risk
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Solution Overview
Problem
Information handling systems face challenges in distinguishing between humidity-driven and non-humidity-driven corrosion, as existing corrosion sensors only detect corrosion without specifying the type, leading to inadequate mitigation strategies.
Innovation Solution
An information handling system equipped with a corrosion controller that monitors a sensor array to determine the type of corrosion based on location, allowing for targeted mitigation actions such as adjusting fan speed and air flow to manage humidity and temperature thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing corrosion sensors are used to detect corrosion, then corrosion detection capability is provided, but the ability to distinguish between humidity-driven and non-humidity-driven corrosion types is lost
Solution Approach 1:
The system divides the monitoring task by placing multiple corrosion sensors at different locations within the information handling system. Each sensor monitors specific zones (e.g., humid zones vs. non-humid zones), allowing the system to segment corrosion detection by location and infer corrosion type based on which sensors are triggered. This segmentation enables type identification without requiring each individual sensor to be complex.
Solution Approach 2:
The system introduces an intermediary layer of logic that correlates sensor locations with environmental conditions. By mapping sensor positions to expected humidity levels and comparing actual corrosion events against this mapping, the system indirectly determines corrosion type without directly measuring humidity at each sensor location. This intermediary approach simplifies the overall system while enabling corrosion type differentiation.
2Reliability
If corrosion sensors are placed throughout the system to enable location-based corrosion type determination, then corrosion type identification improves, but device complexity increases
Solution Approach 1:
The system applies local quality by placing sensors strategically in specific zones where different corrosion types are expected to occur. Rather than uniformly distributing sensors throughout the entire system, the placement is optimized for local detection needs - for example, placing sensors in humid-prone areas versus dry areas. This targeted approach maintains high reliability for corrosion type identification while minimizing the total number of sensors required.
Solution Approach 2:
Each corrosion sensor serves multiple functions: it detects the presence of corrosion, identifies the location of corrosion, and contributes to determining corrosion type based on its position. This multi-functionality reduces the need for separate sensor types or additional monitoring systems, thereby maintaining reliability while controlling device complexity.
3Loss of time
If a corrosion sensor array is implemented to distinguish corrosion types, then early warning capability improves, but the system requires more sophisticated monitoring infrastructure
Solution Approach 1:
The system performs preliminary action by pre-mapping sensor locations to environmental zones and corrosion type probabilities before actual corrosion events occur. This preconfiguration allows the system to rapidly determine corrosion type as soon as a sensor detects an event, enabling immediate early warning and mitigation actions. The preliminary setup minimizes the time required for analysis when corrosion is detected.
Solution Approach 2:
The system implements feedback by continuously monitoring corrosion sensor outputs and comparing them against expected patterns for different corrosion types. When corrosion is detected, the system provides immediate feedback about the corrosion type and location, enabling rapid response. This feedback mechanism streamlines the monitoring infrastructure by using simple comparison logic rather than complex real-time analysis systems.
Data Source
AI summary
An information handling system includes a corrosion controller that may monitor a corrosion sensor array, and determine a type of the corrosion based on a location of a corrosion sensor. The corrosion type may include humidity driven corrosion and non-humidity driven corrosion.