Open AccessResearch and Analysis of Finite Difference Method and Least Square Method Identification Algorithm Based on CO2 Environmental Monitoring
Author(s) -
Wanjun Zhang,
Feng Zhang,
Jingxuan Zhang,
Jingyi Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/769/4/042049
Subject(s) - identification (biology) , boundary value problem , hvac , process (computing) , computer science , diffusion , square (algebra) , boundary (topology) , system identification , mathematics , algorithm , finite difference method , flow (mathematics) , mathematical optimization , engineering , mathematical analysis , air conditioning , data mining , measure (data warehouse) , mechanical engineering , physics , thermodynamics , botany , geometry , biology , operating system
According to the physical process of convection and diffusion followed by CO 2 and the working principle of HVAC, a PDE model of indoor CO 2 concentration is proposed according to the working conditions of indoor air flow in and out. The physical significance and selection principle of each component, initial and boundary conditions in the model are analyzed in detail. In order to prove the validity of the model, this paper, based on the different conditions of initial value and boundary value, puts forward the PDE model of indoor CO 2 concentration The model is solved and simulated, and the results show that the dynamic evolution process of the model is consistent with the actual physical process; for the unknown parameters in the model, the finite difference method and the least square method are combined to realize the identification of the unknown parameters of the model, and the effectiveness of the identification method is verified by simulation.