Abstract: The present disclosure relates to the field of non-ferrous metal and chemical industries for the production of metal sodium, and discloses a process for the preparation of high purity metallic sodium and the safe treatment of high calcium content sodium slag, the process comprises the following steps: (1) subjecting a liquid sodium obtained from electrolysis to a supergravity separation to obtain a high purity metallic sodium and a high calcium content sodium slag; (2) subjecting said high calcium content sodium slag to at least one roasting process to obtain a roasting slag; (3) leaching said roasting slag with an alkaline liquor to produce sodium hydroxide solution and calcium hydroxide. The process provided by the present disclosure not only greatly reduces the amount of generated sodium slag, but also implements the safe recovery of calcium and sodium resources from the sodium slag.

Abstract: The present disclosure relates to the field of the preparation of high purity sodium and the safe treatment of sodium calcium slag, and discloses a method and apparatus for sodium slag recovery by using gravity separation—controllable combustion—alkaline liquor leaching process for the preparation of high purity sodium and safe treatment of sodium calcium slag. The method comprises the following steps: (1) subjecting a liquid sodium slag to a gravity stratification to obtain pure metallic sodium and high calcium content sodium slag; (2) roasting the high calcium content sodium slag to obtain a roasting slag; and (3) leaching the roasting slag by using an alkaline liquor to obtain the sodium hydroxide solution and calcium hydroxide.

Abstract: A camera image cleaning system of an automobile vehicle includes a camera generating a camera image of a vehicle environment. A processor having a memory executes a control logic to convert the camera image into a grayscale image having multiple image pixels. A convolution equation is retrieved from the memory and is solved to find derivations of the grayscale image defining changes of pixel intensity between consecutive or neighbor ones of the multiple image pixels of the grayscale image. A magnitude and an orientation of the multiple pixels is computed by the processor and used to differentiate weak ones of the image pixels from strong ones of the image pixels.

Abstract: A camera image cleaning system of an automobile vehicle includes a camera generating a camera image of a vehicle environment. A processor having a memory executes a control logic to convert the camera image into a grayscale image having multiple image pixels. A convolution equation is retrieved from the memory and is solved to find derivations of the grayscale image defining changes of pixel intensity between consecutive or neighbor ones of the multiple image pixels of the grayscale image. A magnitude and an orientation of the multiple pixels is computed by the processor and used to differentiate weak ones of the image pixels from strong ones of the image pixels.