Proceedings of the 2016 International Forum on Management, Education and Information Technology Application

Open-air Unmovable Cultural Relics Health Trend Prediction

Authors
Xiaohong Zhang, Huiqin Wang, Zhan Wang, Tao Ma, Qi Shang, Wenhan Li
Corresponding Author
Xiaohong Zhang
Available Online January 2016.
DOI
https://doi.org/10.2991/ifmeita-16.2016.155How to use a DOI?
Keywords
cultural relic conservation;health management;relic health management;the internet of things;grey model;grey predication
Abstract
Perennially suffering weathering erosion and man-made damage,open-air unmovable cultural relics’ preservation environment is very serious.By taking China Tang Shunling as research object and adopting grey model theory,because of the relic monitoring data with the characteristics of small sample and s-type,the paper builds the GM(1,1) model and the Verhulst model in analysing and predicting the development trend of cultural relic’s cracks. Experimental results show that the average relative errors of forecast are 6.23% and 2.36% respectively, which provide a basis for the relic health quantitative analysis and research.Finally, the cultural relic health management platform is designed and implemented by JSP and SQL Server, which realizes the health monitoring data collection, pre-processing and forecasting of the cultural relic health.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 International Forum on Management, Education and Information Technology Application
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
978-94-6252-166-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/ifmeita-16.2016.155How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaohong Zhang
AU  - Huiqin Wang
AU  - Zhan Wang
AU  - Tao Ma
AU  - Qi Shang
AU  - Wenhan Li
PY  - 2016/01
DA  - 2016/01
TI  - Open-air Unmovable Cultural Relics Health Trend Prediction
BT  - 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.155
DO  - https://doi.org/10.2991/ifmeita-16.2016.155
ID  - Zhang2016/01
ER  -