scholarly journals An ILP and simulation model to optimize search and rescue helicopter operations

2017 ◽  
Vol 68 (11) ◽  
pp. 1335-1351 ◽  
Author(s):  
Mumtaz Karatas ◽  
Nasuh Razi ◽  
Murat M. Gunal
2021 ◽  
pp. 41-61
Author(s):  
Igor Bolvashenkov ◽  
Jörg Kammermann ◽  
Alexander Rubinraut ◽  
Hans-Georg Herzog ◽  
Ilia Frenkel

Author(s):  
G. Frey ◽  
A. Winderlich

The Search and Rescue Co-ordination Center Goch called me, some years ago, to the Stuttgart airport with the rescue helicopter of the Federal Armed Forces Rescue Center at Ulm. A single-engine sports plane, whose pilot was a student on his first solo flight, had tried a belly landing. Next to the runway, there were several fire-trucks, two ambulances and one emergency physician's car waiting. Our rescue helicopter stayed hovering for nearly one hour until the student pilot finally managed a belly landing. Safe on the ground, he was surrounded by firemen, paramedics and physicians, while we flew back to Ulm. We had not landed promptly I was told because of the landing taxes an army helicopter has to pay at a civilian airport! This episode prompted me to look for more information.The Federal Republic of Germany is obliged by international agreements to search for planes in distress—no matter what nationality—to save the passengers and, if possible, the equipment and to provide medical treatment for the survivors if necessary. This Search and Rescue (SAR) Service is executed according to the instructions given by the International Civil Aeronautical Organization (ICAO). In the Federal Republic, the SAR service is provided jointly by the Ministry of Defense and the Ministry of Transport. The Ministry of defense provides the means and the Rescue Co-ordination Center. The Ministry of Transport provides the alarm services through the air traffic control offices.


2011 ◽  
Vol 121-126 ◽  
pp. 1484-1488 ◽  
Author(s):  
Peng Wang ◽  
Xin Li ◽  
Wen Hao Jiang ◽  
Shao Chen Kang ◽  
Jing Lei Xin

The search and rescue robot has the characteristics of quadruped walking machine. According to the actual structure of the quadruped robot body,the walking pose of the robot are planned,based on the study of the animal gait.The distributions of degrees-of-freedom is analyzed to ensure stable walking. A simulation model of quadruped search and rescue robot is established in ADAMS, and the motion characteristics of the system are observed using the simulation model established. Simulation results show that the motion characteristics of the system are closed related to the length of stride.


2004 ◽  
Vol 19 (2) ◽  
pp. 158-163 ◽  
Author(s):  
Rolf Haagensen ◽  
Karl-Åke Sjøborg ◽  
Anders Rossing ◽  
Henry Ingilæ ◽  
Lars Markengbakken ◽  
...  

AbstractBackground:Search and rescue helicopters from the Royal Norwegian Air Force conduct ambulance and search and rescue missions in the Barents Sea. The team on-board includes an anesthesiologist and a paramedic. Operations in this area are challenging due to long distances, severe weather conditions, and arctic winter darkness.Methods:One-hundred, forty-seven ambulance and 29 search and rescue missions in the Barents Sea during 1994–1999 were studied retrospectively with special emphasis on operative conditions and medical results.Results and Discussion:Thirty-five percent of the missions were carried out in darkness. The median time from the alarm to first patient contact was 3.3 hours and the median duration of the missions was 7.3 hours. Forty-eight percent of the missions involved ships of foreign origin. Half the patients had acute illnesses, dominated by gastrointestinal and heart diseases. Most of the injuries resulted from industrial accidents with open and closed fractures, amputations, and soft tissue damage. Ninety percent of the patients were hospitalized; 7.5% probably would not have survived without early medical treatment and rapid transportation to a hospital.Conclusion:Using a heavy search and rescue helicopter in the Barents Sea was the right decision in terms of medical gain and operative risk.


Author(s):  
Emily Newsome ◽  
Laura Militello ◽  
M. A ◽  
Sowmya Ramachandran

"Combat Search and Rescue aircrew are tasked with challenging missions, usually under conditions of time pressure, dynamic conditions, and a high degree of uncertainty. Many skills required for successful outcomes (e.g., solving problems quickly; accurately evaluating risks; adapting to rapidly changing environmental conditions) are acquired and maintained through first-hand experiences. This paper describes a research project to develop a pedagogically effective game-based trainer for cognitive skills required for Combat Rescue Helicopter aircrew. Training scenarios are developed using cognitive interviewing techniques in order to promote cognitive authenticity. The trainer will pose critical decisions and provide expert feedback utilizing ShadowBox®, a proven coaching technique that enables trainees to obtain insight into the decisionmaking processes and reasoning of experts."


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