Authors:
Marco Antonio García Tamargo
1
;
Alfredo S. Alguero García
1
;
Víctor Castro Amigo
1
;
Amelia Bilbao Terol
1
and
Andrés Alonso Quintanilla
2
Affiliations:
1
University of Oviedo, Spain
;
2
Fomento de Construcciones y Contratas, (FCC), Spain
Keyword(s):
Decision-making support, Artificial intelligence, Data mining, Risk prevention, Building of maritime works.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Industrial Applications of Artificial Intelligence
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
The objective of this paper is the prevention of workplace hazards in maritime works – ports, drilling and others – that may arise from the natural surroundings: tides, wind, visibility, rain and so on. On the basis of both historical and predicted data in certain variables, a system has been designed that uses data mining techniques to provide prior decision-making support as to whether to execute given work on a particular day. The system also yields a numerical evaluation of the risk of performing the activity according to the additional circumstances affecting it: the number of workers and the machinery involved, the estimated monetary cost of an accident and so on.