SMART HELMET WITH ELECTRONIC PROCESSING/ RECORDING/ STORING INDIVIDUAL AND CUMULATIVE IMPACTS
20240164465 ยท 2024-05-23
Inventors
Cpc classification
International classification
Abstract
A concussion resistant smart helmet is disclosed for electronic processing of individual and cumulative impacts, helmet having capability to decompose all external impacts into tangential component force impacts to the helmet edges and away from user. The helmet integrated sensors distinguish tangential from normal force vector impacts. The electronic components contains sensor and logic for recording impact forces transmitted to helmet to determine individual and cumulative damaging impacts. sustained during each period of use in realtime.
Claims
1. A concussion resistant smart helmet comprising: a helmet with a hard outer shell having perforated regions, on an outer helmet layer rigidly coupled to helmet edges; a base outer shell of the outer helmet layer fitting below the outer hard shell in the outer helmet layer, and base outer shell of the outer helmet layer coupled to the helmet edges; a layer of independent slidable tiles fitted in the outer helmet layer between the outer hard shell and base outer shell, the slidable tiles protruding the outer hard shell perforated regions having a polygonal shape commensurate with margins to the independently slidable tiles; the independently slidable tiles with material spacers for transferring any tangential component forces from impacted tile to tile to helmet edge tangential force component transfer and a liner coupled to the outer helmet layer bounding the absorbing layer, the liner having electronics, logic and sensors registering the normal and tangential components forces at the tiles, whereby external force impacts to the helmet are decoupled to normal and tangential component impact forces for recording and processing at tile impacts.
2. The concussion resistant smart helmet of claim 1 further comprising an energy absorbing layer with removable electronics and sensors whereby damaged absorbing material sensors can be removed and replaced with undamaged absorbing layer sensors, electronics and logic.
3. The concussion resistant smart helmet of claim 1 further comprising a smart absorbing layer with the liner having at least one 3D force or 3D accelerometer sensor coupled to power, memory and wife logic for recording helmet normal and tangential individual and cumulative impact forces.
4. The concussion resistant smart helmet of claim 1 wherein the electronics, logic and sensors store and transmit sensed component forces of impacts via wireless devices for a tangential and normal component impact force time histories.
5. The concussion resistant smart helmet of claim 1 wherein electronic devices including sensors, stored memory and wifi logic are powered by rechargeable power.
6. The concussion resistant smart helmet of claim 1 further comprising an absorbing layer made from a set of energy absorbing materials selected from the group consisting of honey comb, Styrofoam, Expanded Polystyrene, graphene-titanium, graphene layers, and composites.
7. A method for a concussion resistant smart helmet comprising the steps of: providing a helmet with an outer hard shell with perforated regions or openings on an outer helmet layer, the outer helmet layer rigidly coupled to helmet edges; providing a base outer shell of the outer helmet layer fitting below the outer hard shell of the outer helmet layer, the base outer shell of the outer helmet layer coupled to the helmet edges; providing a base outer shell of the outer helmet layer fitting below the outer hard shell of the outer helmet layer, the base outer shell of the outer helmet layer coupled to the helmet edges; inserting removable-replaceable energy absorbing layer between an base outer shell shell liner and a helmet interior boundary, spacing the-slidable tiles with material spacers for transferring any tangential component forces from impacted tile to tile to helmet edge tangential force component transfer, and coupling a liner to the base outer shell layer bounding an energy absorbing layer, the liner having electronics, logic and sensors for registering the normal and tangential components forces at impacted slidable tile positions, whereby external impacts to the helmet are decoupled to normal and tangential components for recording and processing at the slidable impacted tile locations.
8. The method for a concussion resistant smart helmet as in claim 7 further comprising the steps of providing an energy absorbing layer with removable electronics and sensors whereby damaged absorbing material sensors can be removed and replaced with undamaged absorbing layer sensors, electronics and logic.
9. The method for a concussion resistant smart helmet as in claim 7 further comprising the steps of providing a smart absorbing layer with the liner having at least one 3D force or 3D accelerometer sensor coupled to power, memory and wifi logic for recording helmet normal and tangential individual and cumulative impact forces at the slidable tile locations.
10. The method for a concussion resistant smart helmet as in claim 7 wherein the electronics, logic and sensors store and transmit sensed component of impacts via wireless devices for a tangential and normal component impacts time histories.
11. The method for a concussion resistant smart helmet as in claim 7 wherein electronic devices including sensors, stored memory and wifi logic are powered by rechargeable power.
12. The method for a concussion resistant smart helmet as in claim 7 further comprising an absorbing layer made from a set of energy absorbing materials selected from the group consisting of honey comb, Styrofoam, Expanded Polystyrene, graphene-titanium, graphene layers, and composites.
Description
BRIEF DESCRIPTION OF DRAWINGS
[0013] Specific embodiments of the invention will be described in detail with reference to the following figures.
[0014]
[0015]
[0016]
[0017]
[0018]
DETAILED DESCRIPTION
[0019] In the following detailed description of embodiments of the invention, numerous specific details are set forth in order to provide a more thorough understanding of the invention. However, it will be apparent to one of ordinary skill in the art that the invention may be practiced without these specific details. In other instances, well-known features have not been described in detail to avoid unnecessarily complicating the description.
[0020] Objects and Advantages
[0021] The concussion resistant smart helmet disclosed herein addresses the above needs and concerns in the following manner.
[0022] It is, therefore, an object of the invention is to provide concussion resistant smart helmet by decoupling the normal and tangential component force impacts and manage them separately.
[0023] Another object of the invention is to provide an impact decoupling mechanism to redirect tangential component forces from external helmet impacts to helmet edges for absorption by neck or shoulder pads.
[0024] A still further object of the invention is to provide a removable replaceable energy absorbing layer.
[0025] It is an objective of the invention to create a smart helmet, one capable of recording impacts and notification of absorption layer replacement.
[0026] It is yet another object of the invention to record all absorption layer normal force impacts for magnitude of and cumulative concussive force history.
[0027] The present invention discloses several embodiments for making a concussion resistant smart helmet.
[0028]
[0029]
[0030] Helmet concussion resistance is designed into an embodiment of the invention of a smart helmet by decoupling the normal and tangential component force impacts by the outer layers slidable property of deflecting tangential force components away from a helmet users head, thus removing any potential rotational energy from reaching the head.
[0031] Layer composition is of major concern along with structural mechanics. Graphene is the strongest material ever tested. Materials testing have shown that graphene showed a greater ability to distribute force from an impact than any known material, ten times that of steel per unit weight. Therefore it is a very good candidate for materials used for making the outer layer tougher and lighter than conventional helmet materials used, providing added strength against very high impact loads which would otherwise penetrate the outer layer and cause damage in the normal component of the force.
[0032]
[0033] A slidable tile or platelet 309 can be made of plastic, composite, graphite coating, graphene-titanium, graphene layers, synthetics, metal and combinations. The spring-like interstitial material 303 is made from materials including but not limited to rubber, foam, composites, elastic synthetic and combinations. In some embodiments a liner 313 bounding an absorbing layer 314 can have smart sensors 321 for recording forces affecting the head. The sensors will be 3D force or acieration sensors 315 with memory 317, wifi logic 318 and power 319.
[0034]
[0035]
[0036] An absorbing layer top 503 and side or base 505 are snap or screw coupled at a snug fit edge 509 between the top 503 and base 505 absorbing layer 501 providing for replacement of damaged absorbent layer 503 505. In an embodiment of the invention an absorbent layer base 505 is rotatably coupled to a helmets neck/shoulder edge 507. The top 503 of the absorbent layer can be of deformable energy absorbing material and structure previously mentioned.
[0037] Through the course of its life, the absorption layer is expected to absorb impacts through physical deformation of its material and structure. Absorbing material can be made of combination of Styrofoam, honey comb, FOAM, composites, plastic-rubber, fluidic spheres and is replaceable when called for by removing a damaged absorption layer and replacing it with an undamaged absorbing layer. The 3D force sensor 510 logic measuring, recording and storing the actual brain reaching impacts can have limits set to inform wearers when the helmet has been compromised.
[0038] Replacing the absorbent layer at end of life is managed through sensor(s) 510 517 securely affixed in the absorber layer lining adjacent to user, such that impact magnitudes reaching the user are recorded and a time history 511 of impacts can be read from wireless devices from sensor 517 stored memory 519 and wifi logic 521 transmission, powered by rechargeable power 523. In replaceable absorbent layers embodiments there may be at least one 3D force or 3D accelerometer sensor 517 coupled to electrical power 523, memory 519 and wifi 521 logic for digitally recording helmet individual and cumulative impact forces reaching the bottom of the absorbing layer 503.
[0039] Therefore, while the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this invention, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as disclosed herein. Other aspects of the invention will be apparent from the following description and the appended claims.