| In terms of lighting,the current mainstream lighting fixtures is excited by blue LED(450nm),which has missing spectrum,poor continuity and high blue content,long-term exposure to the human body will cause the risk of blue light harm.The research shows that the lighting route of "Ga N purple LED+ phosphor + DC incandescent lamp" has the advantage of light health.But this route is limited by the processing of chlorine resistant nozzle in MOCVD equipment,which involves the world-class problem of thick stainless steel wire cutting.In terms of display,nearly 90% of information is obtained through the eyes.Excessive screen time every day is seriously interfering with people’s hormone secretion through the non-visual effects of light,which may be the culprit leading to low fertility intention and a neutral society.In particular,it may have led to the precocious puberty of teenagers and promoted the development of myopia.Therefore,if we can take the lead in integrating the concept of optical health into GPU chip hardware and try to dynamically display the non-visual effect quantity of light(blue light hazard),we can not only restrain the explosion of junk information and ensure the public’s optical health,but also counter the western besieging on GPU hardware.Therefore,this paper adopts FPGA to combine this concept.Based on the above considerations,the main research contents and results of this paper are as follows:(1)The experiment of wire cutting thick stainless steel by reciprocating wirewalking EDM was designed and carried out.With the aid of "immersion type +ultrasonic cleaning",the results showed that this method could improve the efficiency of machining thick stainless steel by EDM wire-cutting.On the basis of using this method to improve the existing process or make some special treatment has the opportunity to achieve the stable cutting of thick stainless steel,but also can help the development of the purple LED lighting route.(2)Design and develop a video source blue light detection system based on FPGA,relying on the high processing speed brought by hardware design,realize the detection of blue light content of video source and analysis of blue light harm,and display the results dynamically and synchronously with the original video in real time,which can provide a convenient and intuitive method for people to understand the blue light content of video source.It provides a prototype reference for integrating the concept of optical health into GPU design.(3)The function module of the video processing system as a whole is verified.The color bar image with customized parameters is used to verify the blue light detection module.The results show that the error between the detection result and the actu Al value of the system is within 1%,which can meet the requirement of detecting the blue light amount of the video source.This article also looks forward to the digital tax levy and how to promote the precision of line cutting machine tool. |
