PRE2022 3 Group1: Difference between revisions
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|Literature study (4-5 articles): '''Search patterns, Remote drone control''' ''> necessary equipment'' | |Literature study (4-5 articles): '''Search patterns, Remote drone control''' ''> necessary equipment'' | ||
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|Literature study(4-5 articles): '''Communication systems''' ''> necessary equipment'' | |Literature study(4-5 articles): '''Communication systems''' ''> necessary equipment'' | ||
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|Literature study(4-5 articles): '''Influence of cold water, Oceanic Weather''' | |Literature study(4-5 articles): '''Influence of cold water, Oceanic Weather''' | ||
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|Literature study(4-5 articles): '''Image recognition /sensors''' ''> necessary equipment'' | |Literature study(4-5 articles): '''Image recognition /sensors''' ''> necessary equipment'' | ||
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|Literature study(4-5 articles): '''Night time deck procedures''' ''> What does the victim have on him/her?'' | |Literature study(4-5 articles): '''Night time deck procedures''' ''> What does the victim have on him/her?'' | ||
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|Literature study(4-5 articles): '''Current tech''' ''> write a section on the current state of person detection tech in the wiki'' | |Literature study(4-5 articles): '''Current tech''' ''> write a section on the current state of person detection tech in the wiki'' | ||
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== State of the art: Literature Study == | ==State of the art: Literature Study== | ||
=== Search patterns === | ===Search patterns=== | ||
(Luc) | (Luc) | ||
=== Remote Drone Control === | ===Remote Drone Control=== | ||
(Luc) | (Luc) | ||
=== Communication Systems === | ===Communication Systems=== | ||
(Thijs) | (Thijs) | ||
=== Influence of cold water and oceanic weather === | ===Influence of cold water and oceanic weather=== | ||
(Geert) | (Geert) | ||
=== Image recognition/sensors === | ===Image recognition/sensors=== | ||
(Victor) | (Victor) | ||
=== Night time deck Procedures === | ===Night time deck Procedures=== | ||
(Adrian) | (Adrian) | ||
=== Current Person in water detection tech === | ===Current Person in water detection tech=== | ||
<br /> | <br /> | ||
== Design phase == | ==Design phase== | ||
==== Components: ==== | ====Components:==== | ||
Sensors | Sensors | ||
Revision as of 14:34, 2 March 2023
Name | Student number | Major |
---|---|---|
Geert Touw | 1579916 | BAP |
Luc van Burik | 1549030 | BAP |
Victor le Fevre | 1603612 | BAP |
Thijs Egbers | 1692186 | BCS |
Adrian Kondanari | ||
Aron van Cauter | 1582917 | BBT |
Project plan
Problem statement and objectives
Scenario:
Weather: Some waves, a breeze but still calm enough for a drone to fly, little rain, nighttime, water is 3 degrees Celsius -> 15-30 minutes until exhaustion and unconsciousness, 30-90 minutes expected survival time.
Ship: Container ship, on the Atlantic ocean, speed: 25 knots (~46 km/h, had to take a detour, were behind schedule, faster than average)
Reason off fall: Dark outside, slippery because some rain, person is alone, person drifts away without major injuries
Who are the users?
Shipping companies. Not cruise ships, only cargo ships and their crew
What do they require?
MoSCoW:
Must have: Sensors to quickly detect a person, communicate with ship
Should have: Resist (bad) weather to a degree
Could have: Life assist systems, communication between person and ship
Won’t have: Ability to take the person to safety
Approach milestones and deliverables
TODO
Task division
Person | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Week 7 | Week 8 |
Luc | Literature study (4-5 articles)+Subject picking | Further Brainstorming and subject refining | Literature study (4-5 articles): Search patterns, Remote drone control > necessary equipment | |||||
Thijs | Literature study (4-5 articles)+Subject picking | Further Brainstorming and subject refining | Literature study(4-5 articles): Communication systems > necessary equipment | |||||
Geert | Literature study (4-5 articles)+Subject picking | Further Brainstorming and subject refining | Literature study(4-5 articles): Influence of cold water, Oceanic Weather | |||||
Victor | Literature study (4-5 articles)+Subject picking | Further Brainstorming and subject refining | Literature study(4-5 articles): Image recognition /sensors > necessary equipment | |||||
Adrian | Literature study (4-5 articles)+Subject picking | Further Brainstorming and subject refining | Literature study(4-5 articles): Night time deck procedures > What does the victim have on him/her? | |||||
Aron | Literature study (4-5 articles)+Subject picking | Further Brainstorming and subject refining | Literature study(4-5 articles): Current tech > write a section on the current state of person detection tech in the wiki |
State of the art: Literature Study
Search patterns
(Luc)
Remote Drone Control
(Luc)
Communication Systems
(Thijs)
Influence of cold water and oceanic weather
(Geert)
Image recognition/sensors
(Victor)
Night time deck Procedures
(Adrian)
Current Person in water detection tech
Design phase
Components:
Sensors
Communication Equipment
Drone
Brainstorm Phase:
Man over board (MOB) drone
During the MOB protocol, the most challenging part is locating the victim. This can prove to be especially difficult during stormy weather or night time. Creating a drone that is equipped with adequate sensors to locate the victim and life saving equipment would drastically increase the chances of survival for a man overboard. Another problem that our drone needs to tackle is providing appropriate care for the possibilities of drowning, hypothermia or any other injury.
User: Ship's crew, rescue teams (coast guard); Problem: MOB, Requirement: Locate and provide appropriate care for the victim.
References: https://www.ussailing.org/news/man-overboard-recovery-procedure/, https://doi.org/10.1016/j.proeng.2012.06.236
Manure Silo suffacation
Manure Silo's need to be cleaned. When this is done, people can sufficate in the toxic gasses released by the manure (even if the silo is almost empty). We want to develop a robot that alarms people when conditions become dangerous, and if this person is not able to leave the silo in time, supply clean air to them.
User: Farmers, Problem: Manure silo suffication, Requirement: Supply clean air before suffication.
Some references: https://www.ad.nl/binnenland/vader-beukt-wanhopig-in-op-silo-maar-zoon-bezwijkt~a4159109/, https://www.mestverwaarding.nl/kenniscentrum/1309/twee-gewonden-bij-ongeval-met-mestsilo-in-slootdorp
Extreme Sports Accidents
Thrillseekers are often a bit reckless when it comes to safety. We want to design a flying drone that can help people get out of sticky situations during parachute-jumping, base-jumping or even rock-climbing. The victim will be able to attach themselves to the drone using the parachute equipment or rock-climbing equipment and the drone will put them safely on the ground.
User: Extreme sporters, rescue teams, Problem: Dangerous accidents, Requirement: Can safely attach to people and put them on the ground.
Some references: https://www.nzherald.co.nz/travel/aussie-base-jumpers-two-hour-ordeal-after-parachute-gets-stuck-in-tree/HCN6DYMSSA4ZUBE3GVV2WCTNRQ/, https://www.tmz.com/2022/11/30/base-jumper-crash-cliff-dangling-parachute-death-defying-video-moab-tombstone-utah/
Brainstorm: literature study
To determine the state of the art surrounding our project we will do a literature study.
Disaster robotics
This article gives an overview of rescue robotics and some characteristics that may be used to classify them. The article also contains a case study of the Fukushima-Daiichi Nuclear power plant accident that gives an overview of how some robots where used. On top of that the article gives some challenges that are still present with rescue robotics.
https://link.springer.com/chapter/10.1007/978-3-319-32552-1_60
A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions
This article gives an overview of the use of unmanned surface vehicles and gives some recommendations around USV's.
https://www.mdpi.com/1424-8220/19/3/702?ref=https://githubhelp.com
Underwater Research and Rescue Robot
This article is about an underwater rescue robot that gives necessary feedback in rescuing missions. This underwater robot has more computng power than the current underwater drones and reduces delay by the use of ethernet cable.
https://www.researchgate.net/publication/336628369_Underwater_Research_and_Rescue_Robot
Mechanical Construction and Propulsion Analysis of a Rescue Underwater Robot in the case of Drowning Persons
This article is about a unmanned life-saving system that recovers conscious or unconscious people. This prevents other people from getting themselves in a dangerous situation by trying to save others. This drone is not fully autonomous since it needs to be operated by humans.
https://www.mdpi.com/2076-3417/8/5/693
Design and Dynamic Performance Research of Underwater Inspection Robots
Power plants along the coastline use water as cooling water. The underwater drone presented in this paper is used to research water near power plants and clean filtering systems to optimize the efficiency of the powerplant.
https://www.hindawi.com/journals/wcmc/2022/3715514/
Semi Wireless Underwater Recue Drone with Robotic Arm
This article highlights the challenges concerning underwater rescue of people and valuable object. The biggest challenge is wireless communication due to the harsh environment. The drone is also equipped with a robotic arm to grab objects and a 4K camera with foglights to navigate properly underwater.https://www.researchgate.net/publication/363737479_Semi_Wireless_Underwater_Rescue_Drone_with_Robotic_Armhttps://www.researchgate.net/publication/363737479_Semi_Wireless_Underwater_Rescue_Drone_with_Robotic_Arm
Rescue Robots and Systems in Japan
This paper discusses the development of intelligent rescue systems using high-information and robot technology to mitigate disaster damages, particularly in Japan following the 1995 Hanshin-Awaji earthquake. The focus is on developing robots that can work in real disaster sites for search and rescue tasks. The paper provides an overview of the problem domain of earthquake disasters and search and rescue processes.
https://ieeexplore.ieee.org/abstract/document/1521744
Two multi-linked rescue robots: design, construction and field tests
This paper proposes the design and testing of two rescue robots, a cutting robot and a jack robot, for use in search and rescue missions. They can penetrate narrow gaps and hazardous locations to cut obstacles and lift heavy debris. Field tests demonstrate their mobility, cutting, and lift-up capacity, showing their potential use in rescue operations.
https://www.jstage.jst.go.jp/article/jamdsm/10/6/10_2016jamdsm0089/_pdf/-char/ja
The current state and future outlook of rescue robotics
This paper surveys the current state of robotic technologies for post-disaster scenarios, and assesses their readiness with respect to the needs of first responders and disaster recovery efforts. The survey covers ground and aerial robots, marine and amphibious systems, and human-robot control interfaces. Expert opinions from emergency response stakeholders and researchers are gathered to guide future research towards developing technologies that will make an impact in real-world disaster response and recovery.
https://doi.org/10.1002/rob.21887
Mobile Rescue Robot for Human Body Detection in Rescue Operation of Disaster
The paper proposes a mobile robot based on a wireless sensor network to detect and rescue people in emergency situations caused by disasters. The robot uses sensors and cameras to detect human presence and condition, and communicates with a network of other robots to coordinate rescue efforts. The goal is to improve the speed and efficiency of rescues in order to save more lives.https://d1wqtxts1xzle7.cloudfront.net/58969822/12_Mobile20190420-67929-tn7req-libre.pdf?1555765880=&response-content-disposition=inline%3B+filename%3DMobile_Rescue_Robot_for_Human_Body_Detec.pdf&Expires=1676230737&Signature=YQXJqYheT6M0hsHXSWDx4FbuCauvv9o9uvDR1Hl8dJL~SmI~KObXAhXbq7dDYZAMLhsydh7ipP5RBOayNkzsM~K0xP7pcXLmOKcW3-WFdt1aTyHvQWeG5hUKzhb5KLaVAj4Frfb313Yi5oyhFaHVb~ODSxbtpN73SGd3YE3UouzuexfeGSVqFyWTWi-3qMqMIQ3qfUKGiBF24QfyArHlj9mKkq8gVItdJsAS9OGBUGeBQaf~8j37WsIauoABw8cO5V73RFxhfLR~ehXXMgJegTRxzwT1tBMhE14OVMK~PkfcpYSAVkHFi3gqf~sawW4SFIut7MetNdUcKfcAwHEBHA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
Mine Rescue Robot System – A Review
Underground mining has a lot of risks and it is a very difficult task for rescuers to reach trapped miners. It is therefore great to deploy a wireless robot in this situation with gas sensors and cameras, to inform rescuers about the state of the trapped miners.
https://www.sciencedirect.com/science/article/pii/S187852201500096X
Ethical concerns in rescue robotics: a scoping review
We also have to take the ethics of rescue robots into account. There are seven core ethical themes: fairness and discrimination; false or excessive expectations; labor replacement; privacy; responsibility; safety; trust
https://link.springer.com/article/10.1007/s10676-021-09603-0
Rescue robots for mudslides: A descriptive study of the 2005 La Conchita mudslide response
Robots assisted the rescuers who responded to the 2005 mudslide in La Conchita. The robots were waterproof and could thus be deployed in wet conditions, but they failed to navigate through the rubble, vegetation and soil. The paper thus suggests that rescue robots should be trained in a variety of environments, and advises manufacturers to be more conservative with their performance claims.
https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.20207
Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots
The 2011 earthquake and tsunami in Japan resulted in a meltdown of the Fukushima nuclear power plant. Due to the radiation levels, robots were deployed because it was too dangerous for humans. First various issues needed to be resolved, like the ability of the robot’s electrical components to withstand radiation. The ability to navigate and communicate was tested at a different nuclear powerplant similar to Fukushima.
https://onlinelibrary.wiley.com/doi/full/10.1002/rob.21439
A Coalition Formation Algorithm for Multi-Robot Task Allocation in Large-Scale Natural Disasters
Robots are more reliable then humans in a lot of cases. This paper discusses a bit of prior research concerning older algorithms and looks into a new algorithm considering multi-robot task allocation is rescue situations. These algorithms should take a lot into account, like sensors needed for problems. They compare their algorithm with older ones in multiple cases like different problem sizes.