CO2 Absorption Estimation Using Minimum Value Selection
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Solution Overview
Problem
Conventional carbon dioxide absorption estimation systems based on solar radiation alone are unable to accurately estimate the amount of carbon dioxide absorbed by plants due to the involvement of various factors, leading to inaccurate results.
Innovation Solution
A carbon dioxide absorption estimation system comprising a sensor terminal, a server, and an output device that measures multiple environmental factors such as ground surface temperature, solar radiation, and vapor pressure deficit, and uses correspondence relationships to acquire and compare CO2 absorption amounts, selecting the minimum value as the estimated CO2 absorption amount based on Liebig's Law of the Minimum.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If carbon dioxide absorption amount is estimated based on solar radiation amount only, then the estimation process is simple, but the estimation accuracy is insufficient
Solution Approach 1:
The patent segments the CO2 absorption estimation into multiple independent components: solar radiation amount estimation, ground surface temperature estimation, and vapor pressure deficit estimation. Each component is calculated separately using corresponding environmental parameters and stored correspondence relationships, then integrated to determine the final CO2 absorption amount. This segmentation allows comprehensive consideration of multiple factors while maintaining clear calculation logic.
Solution Approach 2:
The patent transitions from single-dimensional estimation (solar radiation only) to multi-dimensional estimation by incorporating additional environmental dimensions: ground surface temperature and vapor pressure deficit. This dimensional expansion enables the system to capture the complex interplay of environmental factors affecting CO2 absorption, significantly improving estimation accuracy.
2Measurement precision
If multiple environmental factors are measured to improve CO2 absorption estimation accuracy, then the estimation precision improves, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-storing correspondence relationships between environmental parameters (solar radiation, temperature, humidity) and CO2 absorption amounts in the server. These pre-established lookup tables and regression models enable rapid estimation without requiring complex real-time calculations, thus improving accuracy while minimizing system complexity.
Solution Approach 2:
The patent introduces correspondence relationships as intermediaries between environmental measurements and CO2 absorption estimation. Instead of directly modeling the complex relationship between multiple environmental factors and CO2 absorption, the system uses pre-established correspondence tables and regression equations as mediators, simplifying the overall system architecture while maintaining high estimation accuracy.
3Ease of operation
If only solar radiation amount is used for estimation, then the measurement process is simple, but the estimated value does not reflect actual environmental conditions
Solution Approach 1:
The patent merges multiple environmental measurements (solar radiation amount, ground surface temperature, air temperature, relative humidity) into a comprehensive CO2 absorption estimation. By combining these different environmental indicators through the minimum value selection method, the system achieves a more reliable and holistic representation of actual field conditions, improving estimation reliability while maintaining operational feasibility.
Data Source
AI summary
The amount of carbon dioxide absorbed by plants grown in a field can more accurately be estimated based on environmental information of the field. A plurality of types of mutually-differing environmental information are measured regarding an installation field. For the plurality of types of environmental information, the correspondence relationship between each type of environmental information and a carbon dioxide (CO2) absorption amount is stored. A plurality of CO2 absorption amounts are acquired by referring to the respective correspondence relationship for each type of measured environmental information. The acquired plurality of CO2 absorption amounts are compared with each other and the minimum value thereof is selected as the estimated value. Information regarding the selected estimated value is displayed.