阅读说明：本技术 金属机加工设备中的喷嘴状态或类型的识别 (Identification of nozzle status or type in metal machining equipment ) 是由 安德烈亚斯·吕迪 克里斯托夫·法尔尼 凯温·梅塞尔 于 2019-12-18 设计创作，主要内容包括：本发明涉及一种金属机加工设备(100),该金属机加工设备(100)具有：气体喷嘴(101),该气体喷嘴(101)用于产生气体射流并且该气体喷嘴(101)在外侧上并在一个端部上具有喷嘴出口开口(131)；电子摄像机(103),该电子摄像机(103)用于获取气体喷嘴(101)的具有喷嘴出口开口(131)的端部的数字图像(105)；以及模式识别模块(115),该模式识别模块(115)用于将数字图像(105)映射成来自喷嘴状态(109-1、109-2、109-3)的组和/或喷嘴类型中的至少一个喷嘴模式。(The invention relates to a metal machining apparatus (100), the metal machining apparatus (100) having: a gas nozzle (101), the gas nozzle (101) being used to generate a gas jet and the gas nozzle (101) having a nozzle outlet opening (131) on the outside and on one end; an electronic camera (103), the electronic camera (103) for acquiring a digital image (105) of an end of the gas nozzle (101) having a nozzle outlet opening (131); and a pattern recognition module (115), the pattern recognition module (115) for mapping the digital image (105) into at least one nozzle pattern from the group of nozzle states (109-1, 109-2, 109-3) and/or nozzle types.)

1. A machining apparatus (100) for metal, the machining apparatus (100) comprising:

a gas nozzle (101), the gas nozzle (101) for generating a gas jet, the gas nozzle (101) having a nozzle outlet opening (131) on the outside and at one end;

an electronic camera (103), the electronic camera (103) for acquiring a digital image (105) of the end of the gas nozzle (101) having the nozzle outlet opening (131); and

a pattern recognition module (115), the pattern recognition module (115) for mapping the digital image (105) into at least one nozzle pattern from a group of nozzle states (109-1, 109-2, 109-3) and/or nozzle types.

2. The machining apparatus (100) according to claim 1, wherein the machining apparatus (100) comprises an illumination device (111), the illumination device (111) being for illuminating the nozzle outlet opening (131) during recording of the digital image (105).

3. The machining apparatus (100) according to claim 2, wherein the illumination device (111) comprises a plurality of light sources (113) for illuminating the nozzle outlet opening (131) from a plurality of directions.

4. The machining apparatus (100) according to claim 3, wherein the light sources (113) are arranged evenly around the nozzle outlet opening (131).

5. The machining apparatus (100) according to claim 3 or 4, wherein the light sources (113) are individually controllable.

6. The machining apparatus (100) according to any one of claims 3 to 5, wherein the light source (113) is adapted to emit light having a predetermined wavelength.

7. The machining apparatus (100) according to any one of the preceding claims, wherein the pattern recognition module (115) is configured to indicate the nozzle status (109-1, 109-2, 109-3) in two or more different degrees.

8. The machining apparatus (100) according to any one of the preceding claims, wherein the pattern recognition module (115) comprises a trained neural network (107) or a deep learning algorithm.

9. The machining device (100) according to any one of the preceding claims, wherein the machining device (100) comprises a user interface (119) for manually inputting the nozzle status (109-1, 109-2, 109-3).

10. The machining device (100) according to any one of the preceding claims, wherein the machining device (100) is network-able with a cloud computer or other central computer external to the machining device (100).

11. The machining device (100) according to any one of the preceding claims, wherein the machining device (100) is a flat plate cutting system or a cutting apparatus.

12. A method for detecting a wear state (109-1, 109-2, 109-3) of a gas nozzle (101), the method comprising the steps of:

-detecting (S101) a digital image (105) of an end of the gas nozzle (101) having a nozzle outlet opening (131); and

-mapping (S103) the digital image (105) into at least one nozzle pattern from a group of nozzle states (109-1, 109-2, 109-3) and/or nozzle types by means of a pattern recognition module (115).

13. The method of claim 12, wherein the nozzle outlet opening (131) is illuminated during the acquiring of the digital image (105).

14. The method according to claim 12 or 13, wherein the light sources (113) are controlled individually.

15. The method according to any one of claims 12 to 14, wherein the light source (113) emits light having a predetermined wavelength.

16. The method according to any one of claims 12 to 15, wherein the nozzle status (109-1, 109-2, 109-3) is input via a user interface (119).