A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models
复制标题
一种知识和数据驱动的建模方法，通过整合机械模型和经验模型来模拟植物和人类封闭系统中的植物生长和 CO2/O-2 浓度动态
DOI：
10.1016/j.compag.2018.03.006
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发表时间：
2018-05-01
影响因子：
8.3
通讯作者：
Hu，Bao-Gang
中科院分区：
文献类型：
--
作者：
Fan，Xing-Rong;Wang，Xiujuan;Hu，Bao-Gang
物质流（植物产量、CO2/O2浓度、H2O）的建模和预测是封闭生态生命支持系统（CELSS）设计和控制中一项重要而又具有挑战性的任务。本研究的目的是开发一种新的知识和数据驱动的建模（KDDM）方法，通过整合机械模型和经验模型，同时模拟植物和人类的封闭系统中的植物生产和CO2/O2浓度。KD子模型使用GreenLab和TomSim模型的组件来描述每小时和每天的植物光合作用、呼吸作用和同化分配。DD子模型描述了船员使用分段线性模型的CO2生产和O2消耗的动态。将这两个子模型与封闭系统中CO2/O2浓度的质量平衡模型相结合，并将KDDM应用于两人30天的综合CELSS试验。该模型提供了两个不同的植物室的干重和CO2/O2浓度的精确计算。该模型还量化了机组人员、设备和环境之间的物质流，为CELSS的舱室设计和实验装置的寿命优化提供了计算基础（例如，环境控制、种植时间表）。通过扩展，这种方法可以应用于半封闭系统，如温室。
Modeling and the prediction of material flows (plant production, CO2/O2concentrations, H2O) is an important but challenging task in the design and control of closed ecological life support systems (CELSS). The aim of this study was to develop a novel knowledge-and-data-driven modeling (KDDM) approach for simultaneously simulating plant production and CO2/O2concentrations in a closed system of plants and humans by integrating mechanistic and empirical models.The KDDM approach consists of a ‘knowledge-driven (KD)’ sub-model and a ‘data-driven (DD)’ sub-model. The KD sub-model describes hourly and up to daily plant photosynthesis, respiration and assimilation partitioning using the components of GreenLab and TomSim models. The DD sub-model describes the dynamics of CO2production and O2consumption by the crew member using a piecewise linear model. The two sub-models were integrated with a mass balance model for CO2/O2concentrations in a closed system.The KDDM was applied with a two-person, 30-day integrated CELSS test. This model provides accurate computation of both the dry weights of different plant compartments and CO2/O2concentrations. The model also quantifies the underlying material flows among the crew members, plants and environment.This approach provides a computational basis for lifetime optimization of cabin design and experimental setup of CELSS (e.g., environmental control, planting schedule). With extension, this methodology can be applied to a half-closed system such as a glasshouse.