Advanced Institute of Manufacturing with High-tech Innovations Project ( )

Transcription

1 Advanced Institute of Manufacturing with High-tech Innovations Project ( ) Advanced Manufacturing Cloud (AMC) -Intelligent Cloud Computing Services Platform for Machine Tool Industry- AMC V1 Demo Min-Hsiung Hung Dept. of CS and IE, PCCU Yung-Chou Kao Dept. of Mechanical Eng., KUAS Chao-Chun Chen Haw-Ching Yang Inst. of Sys. Info. and Control, NKFUST e-manufacturing Research Center, NCKU February 14, 2012 Rong-Shean Lee Dept. of Mechanical Eng., NCKU Fan-Tien Cheng Institute of Manufacturing Information and Systems, NCKU

2 AMC V1 Architecture (4) v-supplier Machine Domain Knowledge v-supplier in Cloud (4) Data Acquisition Main Components of v-supplier: (1) Data Acquisition Service (2) Creation Service (3) Management Service (4) Cloud Databases and Storages (5) RIA-based GUIs Plan Data Acquisition Creation Sensors (1) Intelligent Prognostic Service PAM Local GCI VMK GDAD Variables User Mgt. v-machine Precisions Mgt. (2) (3) Service Broker Repository Cloud Web Server (5) Service Broker in Factory v-machine in Factory GCI: Generic Communication Interface VMK: Virtual Machine Kernel GDAD: Generic Data Acquisition Driver PAM: Pluggable Algorithm Module Local User Local Web Server Cloud User Users Local Web Server in Factory Product Process Machine A Metrology Equipment X

3 Demo Scenarios 3 Scenario 1: Data Acquisition Scenario 2: Creation Scenario 3: Download Scenario 4: Perform MQM Service (MQM: Machine-Tool Quality Maintenance)

4 4 Scenario 1: Data Acquisition Cloud user acquires machine tool s indicator data via v-machine and saves them to cloud database.

5 Scenario 1: Data Acquisition 5 Ontology v-supplier A.3 Machine Domain Knowledge Windows Azure in Singapore Data Acquisition A.13 Data Acquisition Creation A.2 A.4 User Mgt. Intelligent Prognostic Service A.12 Mgt. Cloud Web Server Repository A.1 A.0 Cloud User CCU in Chia-I A.0: Download GUIs from Cloud Web Server and login A.1: Request to acquire data from equipment A.2: Look for data acquisition service A.3: Plan DCP by domain knowledge A.4: Setup DCP to cloud service A.5: Transfer DCP to service broker A.6: Download DCP to v-machine A.7: Start DCP to collect data A.8: GDAD collect data by DCP A.9: Preprocess and transform data to file A.10: Return indicators data to Service Broker A.11: Upload file to service cloud A.12: Acquire file from service cloud A.13: Store data file to historical Plan A.8 Sensors PAM Local A.6 GCI VMK A.7 Process Machine A A.5 A.9 GDAD Variables Product A.11 A.10 v-machine A.8 Precisions Metrology Equipment X Service Broker GCI: Generic Communication Interface VMK: Virtual Machine Kernel GDAD: Generic Data Acquisition Driver PAM: Pluggable Algorithm Module Local User Local Web Server FALCON MACHINE TOOLS CO. in Changhua

6 6 Data Acquisition Demo

7 7 Scenario 2: Creation Cloud user creates prediction models by using the model creation cloud service and saves them to Repository.

8 Scenario 2: Creation 8 Ontology v-supplier Machine Domain Knowledge Windows Azure in Singapore Data Acquisition B.1: Request to create models B.2: Look for model creation service B.3: Start to create models B.4: Request historical indicator & metrology data B.5: Retrieve the historical indicator & metrology data B.6: Create s (consisting of several steps) B.7: Refer to domain knowledge B.8: Validate generated models B.9: Generate a model PAM B.10: Store the PAM to Repository (1) Data Selection, (2) Set Group, (3) Clean Process Data, (4) Clean Metrology Data, (5) Verify DQIx, (6) Verify DQIy, (7) Create Conjecture Plan B.8 B.5 B.6 B.7 B.9 B.10 Data User Acquisition Creation Mgt. Mgt. B.4 B.3 Sensors Intelligent Prognostic Service PAM Local GCI VMK Process Machine A B.2 GDAD Variables Product v-machine Precisions Metrology Equipment X Service Broker Repository Cloud Web Server B.1 GCI: Generic Communication Interface VMK: Virtual Machine Kernel GDAD: Generic Data Acquisition Driver PAM: Pluggable Algorithm Module Local User Cloud User Local Web Server FALCON MACHINE TOOLS CO. in Changhua CCU in Chia-I

9 9 Creation Demo

10 10 Scenario 3: Download Cloud user downloads prediction models to a v-machine by using the model management cloud service.

11 Scenario 3: Download 11 Ontology v-supplier Machine Domain Knowledge Windows Azure in Singapore C.1: Request to download machine model C.2: Look for Management service C.3: Retrieve the corresponding PAM model C.4: Delivery the PAM to service cloud C.5: Transfer the PAM to Service Broker C.6: Send the PAM to the v-machine C.7: Update its PAM Data Acquisition Plan Data Acquisition Creation Intelligent Prognostic Service PAM Local GCI VMK GDAD User Mgt. Mgt. v-machine Service Broker Repository Cloud Web Server Local User Local Web Server FALCON MACHINE TOOLS CO. in Changhua Cloud User CCU in Chia-I Sensors Variables Precisions GCI: Generic Communication Interface VMK: Virtual Machine Kernel GDAD: Generic Data Acquisition Driver PAM: Pluggable Algorithm Module Product Process Machine A Metrology Equipment X

12 12 Download Demo

13 13 Scenario 4: Perform MQM Service Local user performs MQM service by operating local GUIs.

14 Scenario 4: Perform MQM Service 14 Ontology v-supplier Machine Domain Knowledge Windows Azure in Singapore Data Acquisition Data Acquisition Creation User Mgt. Mgt. Repository Intelligent Prognostic Service Service Broker D.5 User Side User Side Supplier Side CCU in Chia-I D.1: Download Local GUI and login D.2: Start MQM Service D.3: Output VM values D.4: Store VM values into Local D.5: Display VM values on Local GUI D.3 Plan D.4 D.5 PAM Local GCI VMK GDAD D.2 v-machine Web Server D.1 FALCON MACHINE TOOLS CO. in Changhua Sensors Variables Precisions GCI: Generic Communication Interface VMK: Virtual Machine Kernel GDAD: Generic Data Acquisition Driver PAM: Pluggable Algorithm Module Product Process Machine A Metrology Equipment X

15 15 Perform MQM Service Demo

16 AS-IS Maintenance Workflow As-Is & To-Be Workflows of MQM Service TO-BE Quality Maintenance Workflow 16 Machine Supplier/User Machine User Machine Supplier/User Machine User Start Start Construction Phase Usage Phase Build Machine Inform spec. Delivery machine Request Specified Machine Accepted? Use Machine Alarm or Scheduled? No No Construction Phase Usage Phase No Build Machine Construct the Machining by Std. Workpiece Estimate Machining Precision Conjecture Machining States Error Detected? Feedback status Inform states Inform spec. Delivery machine No To be Inspected? Qualify Machine Detect Error Request Specified Machine Center Accepted? Use Machine Error, Alarm or Scheduled? No No Identify the Issued Problems Ask for support Perform Repair or PM Identify the Issued Problems Ask for support Perform PdM, Repair or PM Maintenance Phase Locate the Problems Execute fixes Completed? Maintenance Phase Locate the Problems Execute fixes No Completed? Std. Workpiece: ISO

17 Equipment Supplier v-supplier v-machine Users Service Mode Data Source Creation (MC) MC Approach Prediction Target Prediction Items Use Activity Diagram of MQM Service Machining quality maintenance for specific machine center Sensors, controller, and metrology Machine supplier Process standard workpiece, measure its precision, and then create model. Standard workpiece processed Straightness, parallelism, roundness, and angularity Machine supplier/user 17 Machine Tool Quality Maintenance Construction Phase Usage Phase Maintenance Phase Construct the Machining by Std. Workpiece Measure Precisions Check Machine Quality Identify & Locate Issued Problems Create Std. Workpiece Update The Machine Refresh Updated Machine Data Rebuild The Record Variables /Sensing Data Estimate Machining Quality & States Show Quality & States Error Detected Actual Measurement Update The Test Machine by Std. Workpiece Error, Alarm or Scheduled? No Perform PdM, Repair, or PM Ask for Support No

18 18 Thank You! Q & A