System of smart controller for Injection molding machine by image analysis with AI and operating method thereof

摘要

The present invention processes an image taken of a product injected from an injection machine using a digital image processing (DIP) method to process external factors and internal factors of the injection molding machine when a deviation of more than an allowable size from the reference value occurs continuously or multiple times more than a specified number of times. It relates to a smart control system for injection molding machine and its operation method based on artificial intelligence and image analysis that analyzes each of them with artificial intelligence to find and apply the optimal conditions that meet the reference value. It is installed outside the injection molding machine and controls the temperature and temperature of the surroundings according to the corresponding control signal. an injection external environment sensor unit that detects humidity and temperature of hydraulic oil, converts them into digital data signals, and outputs them; Connect to the injection external environment sensor, input the detected external ambient temperature, humidity, and hydraulic oil temperature, respectively, input the photographed image signal of the injection product and each data detected from the internal environment of the injection machine, and record and manage each corresponding reference value an injection central control unit that outputs a corresponding control signal to each functional unit of the injection machine according to the result of comparison analysis with artificial intelligence; an injection product color photographing unit connected to the injection central control unit 2000 and photographing the exterior of the injection product injected from the injection machine according to the control signal as an HD type color stereo image; an injection internal environment sensor unit that connects to the injection central control unit and detects the humidity of the raw material, the temperature of the raw material, the injection nozzle temperature, the injection speed, the injection pressure, and the mold temperature, respectively, and converts it into digital data according to the control signal; It is connected to the injection central control unit) and produced in the injection machine by the feature including an injection environment condition setting unit that controls the humidity of raw material inside the injection machine, the temperature of the raw material, the injection nozzle temperature, the injection speed, the injection pressure, and the mold temperature, respectively, according to the control signal. The external environment values are sequentially detected and analyzed with artificial intelligence when defects that exceed the standard occur continuously or the cumulative number of occurrences of defective products is confirmed more than a predetermined number of times by inspecting the appearance of the molded injection product with the learned artificial intelligence. By sequentially adjusting the internal environment value set in , there is an effect of mass-producing the optimal injection product without defects.