Open-air Unmovable Cultural Relics Health Trend Prediction
Xiaohong Zhang, Huiqin Wang, Zhan Wang, Tao Ma, Qi Shang, Wenhan Li
Available Online January 2016.
- https://doi.org/10.2991/ifmeita-16.2016.155How to use a DOI?
- cultural relic conservation;health management;relic health management;the internet of things;grey model;grey predication
- Perennially suffering weathering erosion and man-made damage,open-air unmovable cultural relicsâ€™ 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 relicâ€™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.
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 -