Method for producing material boards in a production plant, production plant, computer-program product and use of a computer-program product

A production installation (1) for producing material boards (12) that have specific quality parameters, the production installation (1) comprises:

• apparatuses (2, 3, 4, 5, 6, 7, 8, 9) configured to
• glue, by a first subset of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) based on a first subset of formed input parameters (23) and ascertained quality values (24), a material (10),
• form, by a second subset of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) based on a second subset of the formed input parameters (23) and the ascertained quality values (24), a mat (11) from the glued material (10), and
• press, by a third subset of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) based on a third subset of the formed input parameters (23) and the ascertained quality values (24), the mat (11) to produce a material board (12),
• the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) comprising one or more of
• temporary stores of the material (10),
• a drying stage,
• a spreading apparatus (2) comprising spreading heads,
• a gluing apparatus (3),
• a pressing apparatus (4) comprising cylinders and heating plates,
• a comminuting apparatus (5),
• a drying apparatus (6),
• a sorting apparatus (7),
• a pre-pressing apparatus (8), and
• a separating apparatus (9);
• measuring apparatuses configured to
• measure, by a first subset of the measuring apparatuses, first actual values of material parameters of the material (10), and
• measure, by a second subset of the measuring apparatuses, second actual values of installation parameters of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) and the production installation (1);
• and
• a controller (20) that is directly connected to each of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) and to each of the measuring apparatuses, the controller (20) comprising an interface (25) and a memory (27), the controller (20) configured to
• acquire, by the interface (25), the measured first actual values of the material parameters of the material (10) and the measured second actual values of the installation parameters of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) and the production installation (1),
• acquire, by the interface (25), first setpoint values of the material parameters of the material (10), second setpoint values of the installation parameters of the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) and the production installation (1), and third setpoint values of product parameters of the material board (12) to be produced,
• form input parameters (23) based on the acquired first setpoint values, the acquired second setpoint values, the acquired third setpoint values, the measured first actual values, and the measured second actual values,
• each of the formed input parameters (23) having at least one of an attributed time value or position value,
• ascertain, using an artificial intelligence-based algorithm (32) and based on the formed input parameters (23), the quality values (24) relating to quality parameters of the material board (12), the algorithm (32) being trainable, or formable, by a database (30) stored in the memory (27) and comprising at least one stored quality parameter and stored input parameters correlating with the at least one stored quality parameter, and
• transmit, by the interface (25), the formed input parameters (23) and the ascertained quality values (24) to the apparatuses (2, 3, 4, 5, 6, 7, 8, 9), controlling or regulating the apparatuses (2, 3, 4, 5, 6, 7, 8, 9) and producing the material board (12) based on the transmitted formed input parameters (23) and the ascertained quality values (24).