應用大數據技術於關鍵基礎設施的相互依賴性 - 以醫院設施為例

Application of Big Data on Critical Infrastructure Interdependency -Taking Hospital Facilities as an example

龍赫楠(Vikram Kumar)

指導教授 ： 范素玲

淡江大學/工學院/土木工程學系碩士班/碩士(2018年)

https://doi.org/10.6846/TKU.2018.00129

摘要

本研究確定了醫院基礎設施單元之間的相互依賴性。本研究的目的是找出醫院基礎設施的相互依賴性，並開發一種關鍵基礎設施相互依賴矩陣方法來預測和減少對醫院基礎設施系統的損壞。該研究對於醫院管理具有重要意義，因為與醫療服務相關的任何基礎設施的損壞對社會來說總是不方便，並且可能耗費大量社會資源且危及生命。
本研究從醫院獲得30天的數據，通過相互依賴矩陣方法進行分析和評估關鍵基礎設施。結果表明，所考慮的六個系統具有很強的相互關係和100％的相互依賴性。結果表明彼此之間的相互關聯程度，因此可以利用它來實現和保護系統免於因相互依賴而受到影響。本研究將有利未來利用大數據以改善醫院的關鍵基礎設施。

關鍵字

關鍵基礎設施相互依賴性 ； 大數據 ； 數據挖掘 ； 不可操作性 輸入-輸出模型 ； 醫院建築

並列摘要

This study identifies hospital infrastructure units in terms of their dependencies on one another. The purpose of this research is to find out the hospital infrastructure interdependencies and develop a Critical Infrastructure Interdependency matrix method to predict and reduce damages to the hospital infrastructure system.
The study is significant to hospital administration because disruption of any infrastructure related to medical services is always inconvenient to the society and can be costly and life-threatening. A 30 days' data is obtained from hospitals which are analyzed and reviewed using python through a proposed Critical Infrastructure Interdependency matrix method. The results indicate that the six systems under consideration have a strong co-relationship and 100% interdependencies. The results denote the degree of co-relationship with one another and thus it can be utilized to implement and protect a system from being affected due to interdependency. This research will be beneficial for implementing Big Data for improved projects for the hospital projects in the future.

並列關鍵字

Critical Infrastructure Interdependency(CII) ； Big Data ； Data Mining ； Inoperability Input-Output Model(IIM) ； Hospital Buildings

參考文獻

[1] Agrawal, M. P., Pandey, V. C., & Keshri, S. P. (2013). An Analytical Study on Sequential Pattern Mining With Progressive Database, 1(3), 613–621.

[2] Alavi, A. H., & Gandomi, A. H. (2017). Big data in civil engineering. Automation in Construction, 79, 1–2. https://doi.org/10.1016/j.autcon.2016.12.008

[3] Arboleda, C. A., Abraham, D. M., & Lubitz, R. (2007). Simulation as a tool to assess the vulnerability of the operation of a health care facility. Journal of Performance of Constructed Facilities, 21(4), 302–312. https://doi.org/10.1061/(ASCE)0887-3828(2007)21:4(302)

[4] Aremu, A. A., Aremu, A. O., & Adeaga, O. A. (2015). Assessment of critical equipment for preventative maintenance of plastic plant. American Society of Mechanical Engineers, Power Division (Publication) POWER, 2015–Janua, 1–7. https://doi.org/10.1115/POWER201549139

[5] Ayres, J., Flannick, J., Gehrke, J., & Yiu, T. (2002). Sequential pattern mining using a bitmap representation. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Pp. 429-435). ACM.