Digitalization will penetrate the entire production system life cycle with IT for more productivity and a shorter time-to-market

Transcription

1 Digitalization will penetrate the entire production system life cycle with IT for more productivity and a shorter time-to-market Machine Machine Machine Machine Concept Engineering Commissioning Operation Machine Service Life cycle of production systems Page 1

2 From Design to Simulation

3 Integrated Production Systems Engineering Cell / Line Building Teamcenter Manufacturing Line Designer integrated in NX Automation Designer integrated in NX Totally Integrated Automation Portal Process Simulate / Plant Simulation / PLCSIM Advanced Teamcenter Process planning Line design Mechanical design Automation design Automation engineering Virtual commissioning Reusable components within mechatronics library Integrated engineering of mechanics and automation with change management Generators and round-trip capabilities Integrated simulation and integrated validation Machine Building NX / MCD integrated in NX Automation Designer integrated in NX Totally Integrated Automation Portal MCD / PLCSIM Advanced Page 3

4 From Simulation to Virtual Commissioning

5 Future Today Integrated engineering reduces the time from the first idea to the machine realization Planning Concept Design Detailled Engineering Commissioning Requirements Mechanical concept Mechanical design Real Machine Electrical / Fluid Real commissioning Software Systems Engineering Concept Design Interdisciplinary Engineering Commissioning Requirements Mechanical concept Mechanical design Digital Twin Real Machine Electrical / Fluid Software Virtual commissioning Real commissioning Time saved Page 5

6 Production engineering Optimize performances of the machine Amesim Page 6

7 Machine optimization Virtual commissioning with Amesim Capabilities Size actuators according to performance and consumption targets Connect directly with PLC Hardware or PLC Simulation (PLCSIM Adv.) In operation simulation for additional information on the current state of the machine and additional safety loops In operation optimization using the simulation of future machine states Key Points Optimization before machine building and during operation Validate performances during retrofit phases Generate information through virtual sensors Page 7

8 Cell validation Simulation typical objectives Safety Build Quality Cycle Time/ Throughput Regulatory Reach and Clearance Comply with geographic facility requirements Safety System Layout Achieve interlock and operator safety requirements Control Validation Customer Meet volume production and quality targets Off-Line Programming Page 8

9 Production engineering Optimize material flow Tecnomatix Plant Simulation Page 9

10 Automation for virtual commissioning

11 Process Controller PLCSIM Advanced Basis for software in the loop Real world Virtual world S hardware controller PLCSIM Advanced Virtual S controller PLCSIM Advanced as basis for "Software in the Loop" API Co-simulation Virtual time base Extensive function simulation without adapting the STEP 7 program MCD Process Simulate Other (ex. WinMod) Interface for a connection to different co-simulations via API Page 11

12 SIMIT V9.1 SIMIT Unit integration into SIMIT Portfolio Hardware-in-the-loop SIMIT Unit Integrate the SIMIT Unit into the SIMIT Portfolio SIMIT Unit Administration via SIMIT GUI Rename into SIMIT Unit PN-128 SIMIT Unit PN-256 SIMIT Unit PB-2 One user interface Simple change between HW- and SW in the loop Page 12

13 SIMIT V9.1 From I/O Simulation to Simulation of Drives and Sensors based on Behavior models Interface to PLCSIM Adv. + + Connect to PLCSIM Adv. Connect to real controller via: Profibus, Profinet, Prodave, OPC Use of real controller Simulation of Signals + All signals from and to + the automation system Import signal list from engineering system Simulation of Drives/ Sensors Necessary granularity to test the original automation project + + Standard library with drives and sensors ready-to-use + SIMIT Interfaces build in to technological simulators: simulation: Shared 3 rd party STANDARD, Memory, OPC, FLOWNET, Remote CONTEC Control libraries Interface Simulation of technological behavior Page 13

14 Digital Performance Twin Mindsphere Why and How? Hans De Ruysscher

15 Easy and integrated connectivity as key differentiator Overview MindConnect Main Characteristics: Dedicated IoT Connectors with MindConnect Nano, MindConnect IoT2040 and MindConnect FB S (with engineering via TIA Portal v14) MindConnect embedded in standard Siemens industrial products, e.g. SINUMERIK and RUGGEDCOM Upcoming MindConnect Software, APIs and Libraries for own integration into assets / devices Key MindSphere Connectivity Suite Features Page 15 Dedicated IoT Connectors focused on brownfield installations with MindConnect Nano and MindConnect IoT2040 MindConnect embedded Agents in standard Siemens industrial products focused on greenfield as unique differentiator, with e.g. SIMATIC, Sinumerik MindConnect Software, MindConnect APIs and MindConnect Lib for every further product, including 3 rd -party MindConnect SW Windows / Linux MindConnect Lib

16 Create value by connecting the real world with the virtual one From Data to Insight to Action MindSphere Siemens Cloud for Industry Insight Gain insights throughout your assets in detail Virtual world Real world Data Action Configure the data to sent and the connectivity quickly and easily Transform your insights into actionable results and communicate them with the request system Page 16

17 The Production Machine Manager will enable the OEM to track productivity, availability and maintenance work from remote Benefits Making sure that the productivity, availability and quality of production meets the end customer demand, Implementation of new business models (e.g. sell productivity) Planning and management of maintenance work Extension of the OEM s service business Information on malfunctions and alarms including their handling Page 17