Ziel
Ship should always be prepared to expect all kinds of weather during a trips, even those that test the limits of its structure & stability. Captain & crews are trained to recognize dangerous situations & take (counter)measures. Decision are based on experience & on the specific information available.This information is always limited. It mostly deals only with the past & present situation & seldom predicts.Even with information presented on various displays, the crew needs to predict the consequences onexperience.Modern ships develop rapidly, & are far too complex to rely on experience alone. Experience gained by a crew on a certain ship, often not applies to another, even not the same ship type.With the need for decreased transport times, deadlines becoming more relevant, rising insurance policies,marine pollution becoming a major issue, crew numbers reduced to an utmost minimum, & systems becomingmore complex, this results in too few people, who need to decide fast and often under huge pressure. Allknowing the consequences of taking a decision that will mean delay (or worse).The ADOPT DSS will provide information & guidance by 1) offering an evaluation of consequences; 2) givinginsight in the uncertainty related to the information.This will be done by identifying & defining: Criteria for safety; Sea keeping safety ; Describing criteria for shipdesign, classification #Amp; operation. This will result in increased knowledge on ship motions & their prediction.Expected results are commercial advantage for shipping companies, more safety of crew & cargo, pollutionprevention, training of crews.The ADOPT project will focus on optimising the safety by development of a system that senses the environmentfor ACTUAL situation data, & predicting the ship motions accordingly, thereby ensuring optimal operational performance, relying on computer based decision support tool creating an interface to be used in ship operation, training & design.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- natural sciencescomputer and information sciencessoftwaresoftware applicationssystem software
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- engineering and technologymechanical engineeringvehicle engineeringnaval engineeringsea vessels
- natural sciencesmathematicsapplied mathematicsnumerical analysis
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
FP6-2003-TRANSPORT-3
Andere Projekte für diesen Aufruf anzeigen
Finanzierungsplan
STREP - Specific Targeted Research ProjectKoordinator
1515 Flensburg
Deutschland