Automatic Ejection Safety Technology with a Skydiving Simulator for Improving Pilot Safety

20200398991 ยท 2020-12-24

    Inventors

    Cpc classification

    International classification

    Abstract

    This invention provides an integrated pilot autonomous ejection system with skydiving safety/training which combines sensors, hardware and software technologies to improve pilot training and safety. It offers pilots state-of-the-art cost-effective Virtual Reality Skydiving and flight simulations which prepares pilots on skydiving after ejections and for the dangers of Vertigo and G-LOC which can result in a crash in seconds. Related flight data including cameras which constantly monitors pilots can be used for debriefings/accident investigations which can be done in minutes. The goal is to improve pilot safety during the transition to fully autonomous fleets of fighter jets which have better warrior capabilities.

    Claims

    1. A system improving pilot safety in jet fighters' emergencies including skydiving training for pilots before flights since they may have to eject and skydive and debriefing after emergency ejections from aircraft, the system comprising: a skydiving simulator before flights with a computer with a basic option of only keystroke controls, or with a state-of-the-art virtual reality headset with sensors which track arm movements similar to a real skydiver where the movement of a user's arms up and down controls turns and the speed of the parachute; and a tracker where GPS and other data from the jump is automatically error-corrected, where the corrected data enhances a database of skydives and this continuously improves the simulator, which also creates 3D interactive maps for debriefings.

    2. The system of claim 1 wherein this data creates a virtual reality skydiving simulator which is continuously improved by a tracker database plus feedback from expert skydivers.

    3. The system of claim 1 wherein the transformation of this data into interactive maps or videos which can be used for debriefing after ejections for accident investigations.

    4. The system of claim 1 further comprising: virtual reality headsets for immersion into a 3D world which is portable with just a PC and tracking sensors of arm movements (which is how the jumper controls their turns and speed) and the user explores by simply turning your head for a unique trainer system which simulates round and ram-air chutes anywhere in the world and can inexpensively.

    5. A system for monitoring potential crashes instantaneously so that either an autonomous autopilot takes control if possible, if not then the Automatic Ejection Safety Technology (AEST) automatically initiates the pilot ejection.

    6. The system of claim 5 further comprising: networked flight GPS data to track both the autonomously flying aircraft or the crashed aircraft and the ejected pilot.

    7. The system of claim 5 further comprising: compiling a database of automatic ejection data which constantly reviews the pilot's performance including cameras which constantly monitors pilots during flights where the pilot is relieved of duty pending investigation of the automatic ejection incidents where each automatic ejection continues to improve the performance of the AEST which also could be used to improve the design and performance of both manned and unmanned aircraft with the goal of challenging both in simulated and real flights to design the ultimate jetsmanned or unmanned.

    8. A system for transitioning to full autonomous fleets of jet fighters with a few real pilots embedded in these fleets to insure successfully missions if these drones are infected with viruses, communication and/or GPS networks are disabled with space attacks on satellite networks where there are also robotic dummy pilots to avoid enemy drones and/or pilots targeting the few real pilots in the fleet of fighter jet drones with pilots having the ability to manually overriding their fleet of autonomous drone fighters if they have been compromised by viruses, etc.

    Description

    BRIEF DESCRIPTION OF THE DRAWINGS

    [0007] FIG. 1 Key US Built Non-Combat Fighter Jet Crashes (2016-2018)

    [0008] FIG. 2 is an overview Flow Chart logic of the Claims.

    [0009] FIG. 3 shows training using our skydiving technology.

    [0010] FIG. 4 shows how the system automatically ejects the pilot.

    [0011] FIG. 5 Future Fighter Jetsa Few Pilots, Mainly Drones

    DETAILED DESCRIPTION

    [0012] This invention offers an integrated state-of-the-art pilot safety system with an amazing combination of sensors, hardware and software technologies which improves pilot safety. FIG. 2 highlights how the system: (1) automatically initiates an ejection if flight data indicates an impending crash and (2) before the flights our technology provides amazing simulations using real flight data to warn pilots of the dangers of Vertigo and G-LOCdeath within seconds, plus the Skydiving Trackera skydiving simulator which helps train the pilot how to safely steer their parachute after an ejection towards a safe landings.

    [0013] In FIG. 2 Block 1, prior to Flights, the Simulator alerts pilots to danger of Vertigo and/or G-LOC and also offers Skydiving Training. Block 2 AEST is automatically enabled when aircraft speed exceeds speed/altitude for safe ejections, i.e. 80 mph, 300 ft. Block 3 Artificial Intelligence (AI) constantly reviews the pilot's actionsif a crash is projected and there is no time to abort, then it tells the pilotEJECT, EJECT to prepare the pilot and then automatically ejects the pilot. Block 4 and Block 5if the pilot is automatically ejected, the pilot's chute is automatically deployed and the pilot (now a skydiver) with training hopefully lands safely. Block 6 flight data, networked or black box, including real-time videos of the pilots provides a database tracking pilot performance, the need for automatic ejections and key accident/debriefing information. It immediately indicates if the pilot is impaired when flying a $100 million jet. The YouTube video below shows the flight path of a low-speed aircraft prior to a jump and how it helps train skydiving to land safely either in a normal skydive or after an ejection. Stunning YouTube Skydive Simulation into Grand Canyonhttp://youtu.be/n2srxXJIQs8

    [0014] FIG. 3 shows 301 training on our non-Virtual Reality version, but a more powerful option shows a VR Headset 304 where no display 302 is needed. The sensor 303 tracks the users' arm movements like a real skydive. The jumper pulls imaginary (or real) toggles which control the chute. If their arms are straight up, they fly at the maximum speed straight ahead but if one arm, i.e. the left, is down they turn left. This technology trains both Ram and round jumpers. The U.S. Forest Service U.S. Forest Service Ram-Air Parachute System Implementation Project (June 2015) decided a square ram-air parachute system will eventually replace the round FS-14 parachute system currently in use . . . . Most jumpers thought that the ram-air is more likely to lead to career ending injuries and fatalities. while this simulator which they could use at work or home could ease their concerns. Using data from only a few jumps, trackers' flight data can simulate the types of parachutes and payloads used. A simulator which can't be customized based on real flight data performance is just a game.

    [0015] FIG. 4 shows that prior to a flight 401 the pilot trains with a Virtual Reality (VR) Headset which includes: (1) Vertigo/G-LOC Flights and (2) Skydiving Training for both round and RAM parachutes (most ejection systems use round chutes). When the onboard aircraft computers 402 senses an impending crash then the automatic ejection system is activated. However, if there is autopilot available, there is no ejection and the jet flies autonomously back to base. Crucial Skydiving DatabaseOver 400 skydives were tracked with the Skydiving Tracker and are part of a growing Jump History. With only 3 clicks all flight data for the aircraft/jumpers is available with interactive 3D maps/videos for debriefings/accident investigations and it's available immediately. Mark Urban's BLM accident report was issued 8 months after his death. Also, they used a flawed data logger (which they invested thousands of dollars in) which did not render the data useless, but [increased] the degree of uncertainty associated with each data point . . . . No information was provided [regarding] the aircraft flight speed.

    [0016] The Automatic Ejection Safety Technology (AEST) with a Skydiving Simulator for Improving Pilot Safety revolutionizes pilot training and safety with: (1) Virtual Reality Skydiving Simulators which permit practicing at any real locations worldwide before flights and plus simulations to make pilots aware of the dangers of Vertigo and G-LOC and (2) an automatic system which is prepared for any crash within seconds by initiating an automatic pilot ejection is there is no other option or trying to autonomously fly the aircraft back to base. The flight data with cameras monitoring pilots provides stunning 3D interactive maps for post-jump debriefings/accident investigations far beyond existing capabilities. The Skydiving Tracker and Vertigo/G-LOC Flights should as a safety and training tool for all pilots who use ejection seats.