1. A system for neuromuscular training via a communication network, comprising:
a computer processor connectable to the communication network, the processor capable of performing operations comprising:
retrieving data representative of a training scenario from a database in response to a user selection on an input device;
generating test elements, parameters and controls based on the retrieved data;
monitoring use of the input device by the user;
performing calculations of a simulated environment in response to the use of the input device by the user and the test elements, parameters and controls;
generating real time images replicating the simulated environment of management of the test elements by the user; and
recording results of the simulation in the database.
2. The system of claim 1, further comprising the database, the database storing data relative to one or more of (A) a code of conduct, (B) state-of-the-art, (C) physics law equations, (D) technical code and technique for physical activities requiring training and certification for a user, or (E) training scenarios complying with the code of conduct, state-of-the-art, physics law equations, technical code and technique.
3. The system of claim 1, further comprising a multimedia device connectable to the communication network, the multimedia device having an input device for interaction with a user.
4. The system of claim 1, further comprising a stopwatch circuit.
5. The system of claim 1, wherein the system comprises a virtual simulator.
6. The system of claim 1, wherein the processor is capable of certifying with a third party witnessing from a certification bureau that the online use of the input device by the user meets minimum requirements to satisfy a code of conduct.
7. The system of claim 1, wherein the processor is capable of recording the real time images in the database and processing the real time images to certify code and rule-of-the-art compliance.
8. The system of claim 7, wherein the processor is capable of:
analyzing the real time images and the test elements to produce test result data;
comparing the test result data with model result data stored in the database and producing consequent markings of the test result data; and
recording the markings in the database.
9. The system of claim 8, wherein the processor is capable of:
building a learning curve of the markings; and
storing the learning curve in the database.
10. The system of claim 3, wherein the processor is capable of compiling the real time images and the test elements of successive tests performed by the user into the database in a form of playbacks selectively playable on the multimedia device in response to a user request.
11. The system of claim 3, wherein the multimedia device comprises a user interface displaying the real time images.
12. The system of claim 11, wherein the user interface comprises a first window section displaying the test elements, and a second window section displaying the test parameters and controls.
13. The system of claim 1, wherein the processor is capable of processing the real time images for destructive and non-destructive examination of the test elements on the multimedia device in response to a user request.
14. The system of claim 1, wherein the test elements comprise speed and spatial data.
15. The system of claim 3, wherein the input device comprises a motion capture input device.
16. The system of claim 1, wherein the system is configured to train welding robot guidance with a remotely located expert using a vision system.
17. A method for neuromuscular training via a communication network, comprising:
retrieving data representative of a training scenario from a database in response to a user selection on an input device;
generating test elements, parameters and controls based on the retrieved data;
monitoring use of the input device by the user;
performing calculations of a simulated environment in response to the use of the input device by the user and the test elements, parameters and controls;
generating real time images replicating the simulated environment of management of the test elements by the user; and
recording results of the simulation in the database.
18. The method of claim 17, further comprising recording the real time images in the database and processing the real time images to certify code and rule-of-the-art compliance.
19. The method of claim 17, further comprising:
analyzing the real time images and the test elements to produce test result data;
comparing the test result data with model result data stored in the database and producing consequent markings of the test result data; and
recording the markings in the database.
20. The method of claim 17, further comprising:
building a learning curve of the markings; and
storing the learning curve in the database.
21. The method of claim 17, further comprising compiling the real time images and the test elements of successive tests performed by the user into the database in a form of playbacks selectively playable on a multimedia device in response to a user request.
22. The method of claim 17, further comprising processing the real time images for destructive and non-destructive examination of the test elements on a multimedia device in response to a user request
23. The method of claim 17, further comprising configuring the database with the on-line simulator processor as a function of the test parameters.
24. The method of claim 17, further comprising producing warning signals on the multimedia device depending on actions performed by the user with respect to a variable bracket of successful results determined using the data stored in the database.
25. The method of claim 22, further comprising displaying the real time images on a user interface of the multimedia device.
26. The method of claim 17, wherein the test elements, parameters and controls are all user configurable variables.
27. The method of claim 17, further comprising training welding robot guidance with a remotely located expert using a vision system.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for supporting aircraft maintenance, performed in a system comprising:
display selection means; and
a portable device comprising a camera and augmented reality display means;
comprising the following steps:
acquiring images with the camera of an equipment of the aircraft, and sending these images to the display selection means;
identifying the equipment present in the said images with the display selection means and determining an identifier of the identified equipment, referred to as the useful identifier;
selecting maintenance assistance data by the display selection means from this useful identifier relating to the identified equipment and sending these data to the augmented reality display means;
displaying images corresponding to the maintenance assistance data by the augmented reality display means display, in augmented reality,
supplying the data selection means by the portable device with a position of the portable device;
performing a comparison between the position of the portable device and a position of an equipment of interest by the display selection means, the equipment of interest corresponding to an identifier of interest from a list of identifiers of interest such that the display selection means send out maintenance assistance data only when the useful identifier corresponds to one of the identifiers of interest from the list; and
selecting guidance data by the display selection means guiding towards an equipment of interest and sending these data to the augmented reality display means; and
displaying, by the augmented reality display means, in augmented reality, images corresponding to these guidance data.
2. The method according to claim 1, wherein the display selection means perform the following steps:
receiving a list of at least one identifier of interest, each identifier of interest corresponding to an equipment of interest;
comparing the useful identifier and at least one identifier of interest from the list; and
selecting the said maintenance assistance data and sending these data out only when the useful identifier corresponds to an identifier of interest from the list.
3. The method according to claim 2, wherein the display selection means perform the following steps:
receiving a request relating to at least one maintenance operation to be carried out;
extracting the list of at least one identifier of interest, using this request (Re), an identifier of interest corresponding to an equipment of interest, and the equipment of interest forming an equipment associated with one from the at least one maintenance operation to be carried out.
4. The method according to claim 3, wherein, for each identifier of interest from the list, and on the basis of the request relating to at least one maintenance operation to be carried out, the selection display means extract a position of the corresponding equipment of interest.
5. The method according to claim 3, wherein, for each identifier of interest from the list, and on the basis of the request relating to at least one maintenance operation to be carried out, the selection display means extract corresponding maintenance assistance data.
6. The method according to claim 1, wherein the portable device performs the following steps:
determining a rough position of the portable device, relative to a point of reference;
comparing this rough position with a model of the aircraft;
determining the position of the portable device, relative to the said aircraft.
7. The method according to claim 1, wherein, in order to identify the equipment present in said images, the display selection means select a list of equipment situated in proximity to the portable device, on the basis of the position of the portable device and of the positions of the aircraft equipment.
8. The method according to claim 1, wherein:
the display selection means select and send out to the augmented reality display means, alert data relating to the proximity of an equipment of interest when the position of the portable device corresponds to the position of an equipment of interest; and
the augmented reality display means display, in augmented reality, images corresponding to these alert data.
9. The method according to claim 3, further comprising a step whereby the request relating to at least one maintenance operation to be carried out is formulated by a human operator and using a man-machine interface.
10. The method according to claim 3, further comprising a step whereby the request relating to at least one maintenance operation to be carried out is sent out by a maintenance center.
11. An aircraft maintenance assistance system, comprising:
display selection means; and
a portable device comprising a camera and augmented reality display means;
the camera being connected to the display selection means and set out to capture images and to send these images to the display selection means;
the display selection means being connected to the camera and to the augmented reality display means, and being set out to identify an aircraft equipment present in the said images, determine an identifier of the identified equipment, referred to as the useful identifier, select maintenance assistance data relating to the equipment identified using the useful identifier, and send these data to the augmented reality display means; and
the augmented reality display means being set up to receive these maintenance assistance data and, in response, display in augmented reality images corresponding to these maintenance assistance data;
the portable device comprising a geolocation module connected to the display selection means to supply them with a position of the portable device;
the display selection means comprising a comparator for comparing the position of the portable device and the position of an equipment of interest, the equipment of interest corresponding to an identifier of interest from a list of identifiers of interest such that the display selection means send out the maintenance assistance data only when the useful identifier corresponds to one of the identifiers of interest from the list; and
the display selection means being set up to select guidance data guiding towards an equipment of interest and send these data out to the augmented reality display means; and
the augmented reality display means being set up to receive these guidance data and, in response, display in augmented reality images corresponding to these guidance data.
12. The system according to claim 11, wherein the display selection means comprise:
shape recognition means set up to identify the aircraft equipment from the images captured by the camera, and supplying as output the useful identifier; and
a display selection module receiving the useful identifier as input and, in response, providing the augmented reality display means with the maintenance assistance data relating to the equipment identified.