Maintenance schedule optimization based on distribution characteristics of the extreme temperature and relative humidity of Cave 87 in the Mogao Grottoes

被引:3
|
作者
Zhang, Yanjie [1 ,2 ,3 ]
Wang, Yajun [1 ]
机构
[1] Lanzhou Univ, Coll Civil Engn & Mech, Lanzhou 730000, Peoples R China
[2] Lanzhou Univ, Minist Educ, Key Lab Mech Disaster & Environm Western China, Lanzhou 730000, Peoples R China
[3] Gansu Prov Museum, Res Ctr Conservat & Restorat Cultural Rel, Lanzhou 730050, Peoples R China
关键词
Mogao Grottoes; Environmental monitoring; Extremum time; Schedule optimization; WALL PAINTINGS; SOLUBLE SALTS; MICROCLIMATE; CONSERVATION; VENTILATION; CLIMATE; STABILITY; DRIVEN; DAMAGE;
D O I
10.1186/s40494-023-01005-3
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Frequent fluctuations in microclimate inevitably cause serious irreversible damage to cultural heritage (such as high risks of cracking, flaking, salt efflorescence, swelling, disaggregation, surface layer detachment, and even microbe diseases). For the caves closed to the visitors, specifying a more rational schedule to minimize human influences on the microclimate is urgent and significant for daily maintenance of the Mogao Grottoes. Interior microclimate fluctuations are caused by air convection between the inside and outside environments, which is highly related to internal and external microclimate differences. Therefore, the occurrence times of the extreme values of temperature (T), relative humidity (RH), T difference (inside T minus outside T), and RH difference (inside RH minus outside RH) between the inside and outside environments of Cave 87 were analysed. The results indicated that the times of the extreme T/RH and T/RH differences showed obvious seasonal characteristics. From April to September, both the daily minimum T and RH differences mainly occurred from 8 am similar to 11 am, and the maximum differences were observed from 16 pm similar to 21 pm. This indicates that door openings for daily investigation and maintenance should be arranged in the morning rather than in the afternoon. The times of the daily extreme T and RH differences occurred from 16 pm similar to 19 pm (minimum) and 8 am similar to 11 am (maximum) from January similar to March and October similar to December, and the door opening time should be accordingly optimized. The analysis results provide more reasonable and specific door opening times for Cave 87 and a scientific reference for preventive conservation of the Mogao Grottoes.
引用
收藏
页数:13
相关论文
共 11 条
  • [1] Maintenance schedule optimization based on distribution characteristics of the extreme temperature and relative humidity of Cave 87 in the Mogao Grottoes
    Yanjie Zhang
    Yajun Wang
    Heritage Science, 11
  • [2] Maintenance Schedule Optimization Based on Failure Probability Distribution
    Tezuka, Masaru
    Munakata, Satoshi
    Sawada, Mikiko
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT (IEOM), 2015,
  • [3] Distribution Characteristics and Prediction of Temperature and Relative Humidity in a South China Greenhouse
    Wei, Xinyu
    Li, Bin
    Lu, Huazhong
    Guo, Jiaming
    Dong, Zhaojie
    Yang, Fengxi
    Lu, Enli
    Liu, Yanhua
    AGRONOMY-BASEL, 2024, 14 (07):
  • [4] Research on temperature and humidity distribution characteristics and optimization of curing room for precast concrete components
    Cai, Anjiang
    Bai, Guolong
    Liu, Fengwei
    Pang, Qiusheng
    Journal of Railway Science and Engineering, 2022, 19 (12) : 3778 - 3787
  • [5] Uncoupling Characteristics of Temperature and Relative Humidity Distribution in a Commercial-Size Polymer Electrolyte Membrane Fuel Cell
    Wang, Yajun
    Zhou, Chang
    Zou, Jiexin
    Feng, Qi
    Liao, Jianhua
    Xing, Shuang
    Zhao, Chen
    Fan, Jiantao
    Zeng, Lin
    Li, Hui
    Wang, Haijiang
    JOURNAL OF ENERGY ENGINEERING, 2020, 146 (05)
  • [6] Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks
    Ortega-Corral, Cesar
    Palafox, Luis E.
    Antonio Garcia-Macias, J.
    Sanchez-Garcia, Jaime
    Aguilar, Leocundo
    Ivan Nieto-Hipolito, Juan
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [7] Deep Reinforcement Learning-Based Joint Optimization Control of Indoor Temperature and Relative Humidity in Office Buildings
    Chen, Changcheng
    An, Jingjing
    Wang, Chuang
    Duan, Xiaorong
    Lu, Shiyu
    Che, Hangyu
    Qi, Meiwei
    Yan, Da
    BUILDINGS, 2023, 13 (02)
  • [8] A Comparative Study on Temperature and Relative Humidity Data of Three Caves in Different Climatic Regions of Turkey, with Notes on the Distribution of Anatolian Cave Crickets (Insecta, Orthoptera, Rhaphidophoridae)
    Taylan, Mehmet Sait
    Yilmazer, Nadim
    Sirin, Deniz
    JOURNAL OF THE ENTOMOLOGICAL RESEARCH SOCIETY, 2020, 22 : 53 - 73
  • [9] Effects of high temperature and high relative humidity drying on moisture distribution, starch microstructure and cooking characteristics of extruded whole buckwheat noodles
    Meng, Linghan
    Sun, Xuyang
    Zhang, Yan
    Tang, Xiaozhi
    JOURNAL OF FUTURE FOODS, 2024, 4 (02): : 159 - 166
  • [10] Relative Humidity and Temperature Sensing Characteristics of an Optical Fiber Probe Based on Hollow-Core Fiber and Calcium Alginate Hydrogel Film
    Luo, Hao
    Liang, Lei
    Ma, Xiangchao
    Liu, Nan
    Huang, Saipeng
    Sun, Hao
    IEEE SENSORS JOURNAL, 2018, 18 (19) : 8022 - 8027