公开(公告)号：US20190286078A1

公开(公告)日：2019-09-19

申请号：US16299829

申请日：2019-03-12

申请人： Siemens Aktiengesellschaft

发明人： Moritz Allmaras ,  Mathias Oppelt ,  Andreas Pirsing ,  ROLAND ROSEN ,  TIM SCHENK ,  Annelie Sohr

IPC分类号： G05B13/04 ,  G06F17/50 ,  G05B23/02

摘要： To control a technical system having multiple system components, multiple functional modules access a common data model. The functional modules in this case include an interface module, a simulation module and an output module. The data model includes data components associated with the system components and simulation model data for a simulation model of the technical system. The functional modules are actuated by a flow controller, wherein the flow controller and a respective functional module have functional-module-specific selection data transmitted between them that the respective functional module takes as a basis for accessing model data of the data model. The interface module continually captures operating data of the technical system and stores them in the data model by means of selection-data-specific access.

公开(公告)号：US20180259916A1

公开(公告)日：2018-09-13

申请号：US15761149

申请日：2016-09-16

申请人： SIEMENS AKTIENGESELLSCHAFT

发明人： JAN FISCHER ,  ANDREAS PIRSING ,  TIM SCHENK ,  ANNELIE SOHR

IPC分类号： G05B13/02

CPC分类号： G05B13/021 ,  G05B13/024

摘要： Provided is a method for operating a system including components controllable by control variables, including the determining of at least one optimized control variable at an optimization period for minimizing or maximizing a target function of the system in such a way that at least one system variable fulfills predetermined secondary conditions with respect to the control period, wherein the determining includes the establishment of an evaluation function for each of the secondary conditions to evaluate a change of the system variable at the end of the optimization period based on a current value of the system variable at the beginning of the optimization period, based on a gradient of the system variable relating to the secondary condition and maximally achievable over the control period, and based on a gradient relating to the secondary condition and minimally achievable over the control period.