Study on the Prediction Model and Cycle Control Strategy of CO2 Concentration for Sporocarp of Pleurotus Eryngii

被引:0
|
作者
Tian, Xiaoqing [1 ]
Zhao, Li [1 ]
Lai, Huige [1 ]
Zhu, Xuejun [1 ]
机构
[1] Ningxia Univ, Sch Mech Engn, Yinchuan, Ningxia Hui Aut, Peoples R China
来源
2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA) | 2016年
基金
中国国家自然科学基金;
关键词
pleurotus eryngii; sporocarp period; CO2; concentration; one-cycle control strategy;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Considering the hysteresis of switch timing control system used in the industrial farming of pleurotus eryngii, respiration control experiments were carried out with given temperature, humidity and light in a factory farm. Planting environment was monitored by a remote monitor system with a radio frequency module. A CO2 concentration prediction model is developed based on BP neural network and a cycle control strategy for sporocarp of pleurotus eryngii. This model provides a reference for the precise control of factory-farming pleurotus eryngii, so as to improve the quality and increase the production of pleurotus eryngii.
引用
收藏
页码:425 / 430
页数:6
相关论文
共 50 条
  • [11] Responses of the Mushroom Pleurotus ostreatus under Different CO2 Concentration by Comparative Proteomic Analyses
    Lin, Rongmei
    Zhang, Lujun
    Yang, Xiuqing
    Li, Qiaozhen
    Zhang, Chenxiao
    Guo, Lizhong
    Yu, Hao
    Yu, Hailong
    JOURNAL OF FUNGI, 2022, 8 (07)
  • [12] Application of Distributed Model Predictive Approaches to Temperature and CO2 Concentration Control in Buildings
    Walker, Shalika S. W.
    Lombardi, Warody
    Lesecq, Suzanne
    Roshany-Yamchi, Samira
    IFAC PAPERSONLINE, 2017, 50 (01): : 2589 - 2594
  • [13] A cascade prediction model of CO/CO2 in the sintering process
    Xu B.
    Chen X.
    Wu M.
    Cao W.
    Chen, Xin (chenxin@cug.edu.cn), 2017, Fuji Technology Press (21) : 785 - 794
  • [14] Hybrid Vehicle CO2 Emissions Reduction Strategy Based on Model Predictive Control
    Reusser, Carlos A.
    Herrera Hernandez, Ramon
    Lie, Tek Tjing
    ELECTRONICS, 2023, 12 (06)
  • [15] Hybrid Model for Forecasting Indoor CO2 Concentration
    Ahn, Ki Uhn
    Kim, Deuk-Woo
    Cho, Kyungjoo
    Cho, Dongwoo
    Cho, Hyun Mi
    Chae, Chang-U
    BUILDINGS, 2022, 12 (10)
  • [16] Estimation of appropriate CO2 concentration sampling cycle for MSW incinerators
    Kang, Seongmin
    Cha, Eahyung
    Cho, Changsang
    Kim, K. Hyun
    Leon, Eui-Chan
    ENERGY & ENVIRONMENT, 2020, 31 (03) : 535 - 544
  • [17] Temperature and CO2 Prediction to Control Greenhouse Environment
    Salazar Moreno, R.
    Rojano Aguilar, A.
    Schmidt, U.
    Huber, C.
    INTERNATIONAL SYMPOSIUM ON HIGH TECHNOLOGY FOR GREENHOUSE SYSTEMS: GREENSYS2009, 2011, (893): : 689 - 696
  • [18] Model predictive control of the high-pressure side of simple supercritical CO2 cycle
    Bone, Viv
    Kearney, Michael
    Jahn, Ingo
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 1813 - 1818
  • [19] A simple model for the prediction of CO2 concentrations in the atmosphere, depending on global CO2 emissions
    Vollmer, M.
    Eberhardt, W.
    EUROPEAN JOURNAL OF PHYSICS, 2024, 45 (02)
  • [20] MEASUREMENT AND CONTROL OF CO2 CONCENTRATION IN AIR IS INFLUENCED BY DESICCANT
    SAMISH, YB
    PHOTOSYNTHETICA, 1978, 12 (01) : 73 - 75