Gypsum board production control method based on color recognition and color recognition system
A production control method and color recognition technology, which is applied in the direction of color/spectral characteristic measurement, manufacturing tools, auxiliary molding equipment, etc., can solve problems affecting the production efficiency of gypsum board, achieve the effect of improving production efficiency and reducing downtime parameter adjustment
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Embodiment 1
[0035] like figure 1 As shown, the present invention provides an application method of a color recognition control system in gypsum board production, comprising the following steps:
[0036] S100, setting in the control module the physical property benchmark database of different specifications of gypsum boards in the production process;
[0037] S200, collect and identify gypsum boards of different specifications through the image acquisition system set at the forming extruder, dryer and final setting belt;
[0038] S300. The image acquisition system compares the collected data with the physical attribute reference database, determines the set value of the gypsum board in the physical attribute reference database, and corrects the gypsum board according to the set value. Spraying and waste marking operations;
[0039] The image acquisition system set at the S400, the dryer and the final setting belt will back up the collected data to the physical attribute benchmark databas...
Embodiment 2
[0044] like figure 2 , image 3 and Figure 4 As shown, a color recognition control system includes several dynamic and static image acquisition modules 1, a central control module 2, a data storage module 3, an algorithm matching module 4, and an execution module 5;
[0045] The dynamic and static image acquisition module 1 includes a static color collector arranged at the outlet of the molding extruder and a dynamic color collector arranged at the drier and the final coagulation belt;
[0046] The data storage module 3 is used to establish standard physical attribute parameter data of gypsum boards of different specifications, and also includes a feature extraction module 301 , an image detection module 302 and a data sorting and integration module 303 .
[0047] The algorithm matching module 4 identifies and compares the standard physical attribute parameter data of the gypsum board of the data storage module 3 with the data of the image acquisition module 1, and transmits...
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