Humidity Sensor Diagnostic Unit for Deterioration Detection
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Solution Overview
Problem
Humidity sensors used in various applications often deteriorate over time, leading to detection data that diverges from true values, making it difficult to accurately sense a deteriorated state.
Innovation Solution
An information processor equipped with a diagnostic unit that diagnoses a humidity sensor's state by tracking the proportion of detection data indicating 100% humidity over a reference period, allowing for appropriate sensing of a deteriorated state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If a humidity sensor is used continuously for a prolonged period, then the sensor provides continuous detection data, but the detection data constantly shows excessively high values indicating a deteriorated state
Solution Approach 1:
The diagnostic unit performs preliminary diagnosis by analyzing the temporal pattern of 100% humidity readings before the sensor completely fails. By tracking whether 100% readings occur on consecutive days or alternate days, the system detects deterioration early and notifies the user to replace the sensor before it provides completely unreliable data.
Solution Approach 2:
The system establishes a feedback mechanism where the diagnostic unit continuously monitors humidity detection data, compares it against the reference value of 100%, and determines whether consecutive days or alternate days show excessive readings. This feedback loop enables automatic detection and notification of sensor deterioration states.
2Device complexity
If conventional humidity sensors are used without diagnostic functionality, then the system is simple, but it is difficult to sense when the sensor has reached a deteriorated state
Solution Approach 1:
The humidity sensor system performs self-diagnosis through the diagnostic unit that automatically analyzes its own detection data. By comparing detected humidity values against the reference value and analyzing temporal patterns, the sensor system identifies its own deterioration state and triggers notifications, enabling self-monitoring without requiring external diagnostic equipment.
3Measurement precision
If the diagnostic unit tracks proportion of 100% humidity detection data over reference period, then deteriorated state can be appropriately sensed, but additional processing complexity is introduced
Solution Approach 1:
The diagnostic process is segmented into distinct analytical steps: first counting the number of days with 100% humidity readings, then comparing this count against the reference period, and finally determining whether consecutive or alternate days are affected. This segmentation simplifies the complex task of deterioration detection into manageable computational steps.
Data Source
AI summary
The present invention relates to an information processor. The information processer comprises a diagnostic unit for diagnosing a state of a humidity sensor, the diagnostic unit diagnosing that the humidity sensor is in a deteriorated state when days on which a proportion of detection data of the humidity sensor indicating 100% humidity out of all detection data for one day is equal to or greater than a reference proportion, have persisted for a reference period.