Siemens Aktiengesellschaft

Primetals Technologies Germany Gmbh

Thomas Heimke

Peter Schmitt

Otto Gramckow

Guenter Soergel

Steffen Wagner

Andreas Kuss

Joachim Höhne

Udo Wellenbrink

The present invention provides an efficient and simple method of preparing a product quote for a customer operating a technical installation. The product quote is based on a data set acquired during the operation of the installation, a product chosen for use with the installation and a customer benefit related to the chosen product and the data set.

Method of preparing a product quote for a customer

A method of installing a mobile program code for the control of an industrial automation system with a central computer and a plurality of actors and sensors coupled via a bus system with said central installation computer, has the steps of transmitting the mobile program code from a remote location to the central computer of the industrial automation system, installing and commissioning the mobile program code independently on the industrial automation system, and generating by means of the mobile program code further mobile program codes having a defined task, and transmitting the further mobile program codes at least to said actors and sensors within the industrial automation system.

Method for monitoring or installing new program codes in an industrial installation

The invention relates to an automation system for the erection and operation of industrial plants, in particular for the design, project engineering, implementation, commissioning, maintenance and optimization of individual plant components or complete plants in the basic materials industry, which plants have a computer-based control system which, for a description of the process in control engineering terms, has recourse to process models, for example in he form of mathematical/physical models, neural network models or knowledge-based system, in order to develop the system to the extent that straightforward and cost-effective decentral process management and optimization may be achieved remote from the plant, decentralized process management and optimization by means of one or more interlinked control points is proposed, process changes are continuously monitored online or offline or at least checked by modelling, using modern, public communication means, and the process models, parameters and software are adaptable specifically to the plant.

Method for automatic operation of industrial plants

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Erlangen, Germany

Thomas Heimke