Plant-Based Automatic Humidity Control for Smart Humidifiers
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Solution Overview
Problem
Users face challenges in accurately and efficiently controlling indoor humidity due to the need for repeated manual adjustments of humidifiers in response to changes in the number and type of indoor plants, as they lack quick and precise information on reasonable humidity levels.
Innovation Solution
A humidity control method and device that obtain target plant information, determine suitable humidity ranges for plant growth, and automatically adjust the humidifier to maintain optimal humidity levels by calculating a target humidity value based on the plant information, thereby streamlining humidity control and reducing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of humidifier is used, then user can control humidity, but user needs repeated adjustments when plant conditions change
Solution Approach 1:
The system automatically determines target humidity values based on plant information without requiring user intervention. The control device queries plant data, calculates appropriate humidity levels, and adjusts the humidifier automatically, allowing the system to serve itself rather than requiring continuous user operation.
Solution Approach 2:
The system establishes a feedback loop where plant information is continuously monitored, target humidity values are recalculated based on current plant conditions, and humidifier operations are adjusted accordingly. This closed-loop control eliminates the need for manual re-adjustment when plant conditions change.
2Measurement precision
If manual humidity control is used, then humidifier can operate, but user cannot quickly know reasonable humidity value
Solution Approach 1:
The control device acts as an intermediary between plant information and humidifier operation. It queries plant data from a database or input interface, processes this information to determine appropriate humidity ranges, and translates this into precise target humidity values for the humidifier, making specialized knowledge accessible without requiring user expertise.
Solution Approach 2:
The system pre-establishes the relationship between plant types and suitable humidity ranges by querying plant information before controlling the humidifier. This preliminary determination of target humidity values based on plant characteristics ensures accurate humidity control from the start without requiring users to search for or calculate appropriate values.
3Productivity
If automatic control based on plant information is implemented, then humidity control efficiency improves, but system complexity increases
Solution Approach 1:
The control device performs multiple functions: it queries plant information, processes data to determine suitable humidity ranges, calculates target humidity values, and controls the humidifier operation. By consolidating these diverse functions into a single multi-functional device, the system achieves high automation efficiency without proportionally increasing overall system complexity.
Data Source
AI summary
A humidity control method includes: obtaining target plant information associated with a target humidifier, and determining plant suitable humidity information based on the target plant information; based on the plant suitable humidity information, determining a target humidity value; and based on the target humidity value, controlling operation of the target humidifier.