Abstract: In a method for controlling an installation for producing steel having specific material properties, the material properties depend on the structure and can be influenced by operating parameters of the installation. The operating parameters are determined by a computing program for structure optimization, whereby the set values of the chemical composition of the steel are simultaneously determined by the computing program for structure optimization.

Abstract: The invention relates to a method for the remote diagnosis of a technological process whereby at least one real technological process is represented by at least one real model (1-3). At least one real model (1-3) is compared with at least one reference model (8) of at least one technological reference process and from said comparison of at least one real model (1-3) with at least one reference model (8) and/or from the comparison of at least two real models (1-3) with each other, at least one evaluation of the real technological process is derived. The above permits a comprehensive remote monitoring of said technological process.

Abstract: A process for controlling a metallurgical plant for producing steel or aluminum, in particular a rolling mill, steel or aluminum having specific material properties that depend on the structure of the steel or aluminum being produced in the metallurgical plant from input materials, and the material properties of the steel or aluminum being a function of operating parameters with which the plant is operated, the operating parameters being determined by a structure optimizer as a function of the desired material properties of the steel or aluminum.

Abstract: A method and system for commissioning industrial plants, in particular in the basic materials industry, having a plant control system which carries out both non-control functions and control functions and whose control system operates with process models, in particular control engineering models, for example in the form of mathematical models, neural network models, expert systems etc., in a control system computing unit. The commissioning is carried out in subdivided fashion into commissioning the non-control functions with extensive initialization of the control functions, by means of personnel located on site, and extensive commissioning of the control functions by means of remotely-transmitted data via data lines from at least one site remote from the plant, preferably from an engineering center.

Abstract: The width of bands to be laminated on a mill train is adjusted by vertical upsetting rollers, resulting, however, in a narrowing at the band ends due to the asymetric material flow there. In order to solve the problem, the upsetting rollers are so designed as to move at the passage of the band ends in keeping with a curve defined according to specified parameters. The parameters are based on neuro-computer made predictions related to the milling process.

Abstract: A system for calculating an output of a multi-stage forming process using a model of the forming process with which the output of the forming process is determined as a function of properties of the forming process. Selected properties of the forming process are determined using a neural network-based information processing arrangement.

Abstract: In the control of a material-processing process in a regulated system, a preliminary adjustment of the system takes place at the beginning of each process cycle as a function of a precalculated process parameter. A material characteristic which is relevant for the process and which in turn is dependent on state variables (such as the composition of the material and its temperature), is included in an advance calculation of the process parameter. The relationship between the state variables and the material property is modelled in a neural network which forms a prediction value for the material property on its output side. As a function of the deviation between the prediction value and an actual value for the material property which is determined based on measuring the process parameter during the process cycle, an adaptive change of the network parameters takes place in the sense of reducing this deviation.

Abstract: Rolling schedule computing method for adjusting the desired roll force and desired roll gap of a roll stand, in which before rolling a strip (1) of a prescribed quality from an expected material hardness (MH*) and before a relative desired pass reduction (.epsilon.*) given from a pass schedule the desired roll force (F*) is computed taking account of stand-specific and/or material-specific roll force fitting terms (KFK, KMK) and with simplification by means of a simple arithmetic combination, and then the desired roll gap (S*) is computed, with simplification by means of a simple arithmetic combination, from the desired delivered thickness (HA*) given by the relative desired pass reduction (.epsilon.*), the stand modulus (CG) and the desired roll force (F*), taking account of a zero-point correction (SO), a temperature correction (SOT), and, as the case may be, a roll gap fitting term (KSK), and the stand (6) is subjected to the desired roll force (F*) and the desired roll gap (S*).

Abstract: The invention relates to control in the manufacture of hot strip by means of a multi-stand hot-strip rolling mill, especially a wide-strip rolling mill, which has a higher-order process control system with a sampling plan with the initial and final dimensions, with material data, rolling temperatures, etc., and a guidance system for setpoint control of lower-order decoupled individual regulators for the variable functional parameters of the individual roll stands, e.g. roll adjustment, rotational speed, torque, etc., with the setpoints of the individual regulators being determined by means of a computation process using model equations with convergent parameter adjustment to the actual parameters, in such fashion that a working point control that can be determined in advance is provided and section control and regulation are accomplished by changing the load distribution on the individual stands in such fashion that the working points lie in the previously determined tolerance range of a shape control line.

Abstract: A feedback control of a hot and/or cold rolling process by means of a process control system, which executes a predetermined rolling program containing the initial and final dimensions, material data, roll temperatures, etc., and has a master system for controlling the setpoint values of subordinate, preferably decoupled, individual control units for the variable functional variables of the individual roll stands, e.g. rolling force, rotational speed, screw-down position [setting], etc. The setpoint values of the control units are determined in a computational operation using model equations, in which prepared and statistically processed measured values of the process variables are substituted, with convergent adaptation of absolute parameters to the actual parameters.