A new example inserted

a012d137 · panos · 8f4d70c1 · a012d137 · a012d137 · a012d137
Commit a012d137 authored Apr 04, 2015 by panos
4 changed files
--- a/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/DataSet.csv
+++ b/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/DataSet.csv
+M1,M2
+0.316191544,0.964730988
+0.316191544,0.026733702
+0.705934251,0.143290362
+0.443313263,0.457859747
+0.760824832,0.360404368
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.760824832,
+0.183075027,0.766356281
+0.316191544,0.026733702
+0.705934251,0.143290362
+0.443313263,0.457859747
+0.760824832,0.360404368
+0.053600175,0.724183619
+0.705934251,
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.183075027,0.766356281
+0.316191544,0.026733702
+0.705934251,0.143290362
+0.443313263,0.457859747
+0.705934251,0.143290362
+0.443313263,
+0.760824832,0.360404368
+1.549585958,2.874563823
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.183075027,0.766356281
+0.316191544,0.026733702
+0.705934251,
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.183075027,0.766356281
+0.316191544,0.026733702
+0.705934251,0.143290362
+0.443313263,0.457859747
+0.760824832,0.360404368
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.760824832,0.360404368
+1.549585958,2.874563823
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.760824832,0.360404368
+1.549585958,2.874563823
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.183075027,0.766356281
+0.443313263,0.457859747
+0.760824832,0.360404368
+0.053600175,0.724183619
+0.626433697,0.616910323
+0.183075027,0.766356281
+0.316191544,0.026733702
+0.705934251,0.143290362
+0.443313263,0.457859747
+0.760824832,0.360404368
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.760824832,0.360404368
+1.549585958,2.874563823
+0.053600175,0.724183619
+0.781035648,0.705351425
+0.626433697,0.616910323
+0.760824832,0.360404368
+1.549585958,2.874563823
+0.053600175,0.724183619
\ No newline at end of file
--- a/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/InterArrivalData.csv
+++ b/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/InterArrivalData.csv
+S1
+0.605703539
+0.316191544
+0.705934251
+0.443313263
+0.760824832
+
+0.781035648
+0.626433697
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.457859747
+0.360404368
+0.360404368
+0.766356281
+0.616910323
+0.760824832
+
+0.781035648
+0.626433697
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.360404368
+0.766356281
+0.616910323
+0.760824832
+0.053600175
+0.781035648
+0.626433697
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.457859747
+0.360404368
+0.781035648
+0.626433697
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.360404368
+0.766356281
+0.616910323
+0.760824832
+0.053600175
+
+0.626433697
+0.183075027
+0.760824832
+0.053600175
+0.781035648
+
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.457859747
+0.360404368
+0.781035648
+0.626433697
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.360404368
+0.766356281
+0.760824832
+0.053600175
+0.781035648
+0.626433697
+0.183075027
+0.964730988
+0.026733702
+0.143290362
+0.457859747
+0.360404368
+0.781035648
+0.626433697
+0.183075027
+
+0.026733702
\ No newline at end of file
--- a/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/JSON_ConveyerLine.json
+++ b/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/JSON_ConveyerLine.json
+{
+     "graph": {
+          "node": {
+               "S1": {
+                    "name": "Raw Material", 
+                    "top": 0.9534313725490196, 
+                    "entity": "Dream.Part", 
+                    "interArrivalTime": {
+                         "Fixed": { 
+                              "mean": 0.5
+                         }
+                    }, 
+                    "interruptions": {}, 
+                    "_class": "Dream.Source", 
+                    "left": 0.30208333333333337
+               }, 
+               "M1": {
+                    "name": "Machine1", 
+                    "top": 0.5906862745098039, 
+                    "processingTime": {
+                         "Fixed": {
+                              "mean": 0.25
+                         }
+                    }, 
+                    "interruptions": {
+                         "failure": {
+                              "TTR": {
+                                   "Fixed": {
+                                        "mean": 5
+                                   }
+                              }, 
+                              "TTF": {
+                                   "Fixed": {
+                                        "mean": 60
+                                   }
+                              }
+                         }
+                    }, 
+                    "_class": "Dream.Machine", 
+                    "left": 0.5625
+               }, 
+               "W1": {
+                    "capacity": 1, 
+                    "name": "W1", 
+                    "top": 0.7720588235294118, 
+                    "interruptions": {}, 
+                    "_class": "Dream.Repairman", 
+                    "left": 0.8489583333333334
+               }, 
+               "M2": {
+                    "name": "Machine2", 
+                    "top": 0.2279411764705882, 
+                    "processingTime": {
+                         "Fixed": {
+                              "mean": 1.5
+                         }
+                    }, 
+                    "interruptions": {
+                         "failure": {
+                              "TTR": {
+                                   "Fixed": {
+                                        "mean": 10
+                                   }
+                              }, 
+                              "TTF": {
+                                   "Fixed": {
+                                        "mean": 40
+                                   }
+                              }
+                         }
+                    }, 
+                    "_class": "Dream.Machine", 
+                    "left": 0.7083333333333333
+               }, 
+               "C1": {
+                    "name": "C1", 
+                    "top": 0.40931372549019607, 
+                    "length": "8", 
+                    "interruptions": {}, 
+                    "_class": "Dream.Conveyer", 
+                    "speed": "1", 
+                    "left": 0.5625
+               }, 
+               "DummyQ": {
+                    "capacity": 1, 
+                    "name": "DummyQ", 
+                    "top": 0.7720588235294118, 
+                    "isDummy": "1", 
+                    "interruptions": {}, 
+                    "_class": "Dream.Queue", 
+                    "left": 0.30208333333333337
+               }, 
+               "E1": {
+                    "interruptions": {}, 
+                    "top": 0.04656862745098034, 
+                    "_class": "Dream.Exit", 
+                    "name": "Stock", 
+                    "left": 0.7083333333333333
+               }
+          }, 
+          "edge": {
+               "1": {
+                    "source": "W1", 
+                    "destination": "M2", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }, 
+               "0": {
+                    "source": "W1", 
+                    "destination": "M1", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }, 
+               "3": {
+                    "source": "M1", 
+                    "destination": "C1", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }, 
+               "2": {
+                    "source": "S1", 
+                    "destination": "DummyQ", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }, 
+               "5": {
+                    "source": "DummyQ", 
+                    "destination": "M1", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }, 
+               "4": {
+                    "source": "M2", 
+                    "destination": "E1", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }, 
+               "6": {
+                    "source": "C1", 
+                    "destination": "M2", 
+                    "data": {}, 
+                    "_class": "Dream.Edge"
+               }
+          }
+     }, 
+     "_class": "Dream.Simulation", 
+     "general": {
+          "maxSimTime": "1440", 
+          "_class": "Dream.Configuration", 
+          "confidenceLevel": "0.95", 
+          "trace": "No", 
+          "numberOfReplications": "1"
+     }
+}
\ No newline at end of file
--- a/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/KEtool_MainScript.py
+++ b/dream/KnowledgeExtraction/KEtool_examples/ConveyerLine/KEtool_MainScript.py
+'''
+Created on 4 Apr 2015
+
+@author: Panos
+'''
+# ===========================================================================
+# Copyright 2013 University of Limerick
+#
+# This file is part of DREAM.
+#
+# DREAM is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# DREAM is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with DREAM.  If not, see <http://www.gnu.org/licenses/>.
+# ===========================================================================
+
+from dream.KnowledgeExtraction.ImportCSVdata import Import_CSV
+from dream.KnowledgeExtraction.DistributionFitting import Distributions
+from dream.KnowledgeExtraction.DistributionFitting import DistFittest
+from dream.KnowledgeExtraction.JSONOutput import JSONOutput
+from dream.KnowledgeExtraction.DetectOutliers import HandleOutliers
+from dream.KnowledgeExtraction.ReplaceMissingValues import HandleMissingValues
+import json
+################### Import data using the ImportCSVdataobject ###################################
+filename1=("DataSet.csv")
+filename2=("InterArrivalData.csv")
+CSV=Import_CSV()   #call the Import_CSV module and using its method Input_data import the data set from the CSV file to the tool
+procData=CSV.Input_data(filename1)
+sourceData=CSV.Input_data(filename2)
+M1=procData.get('M1',[])       #get from the returned Python dictionary the data sets
+M2=procData.get('M2',[])
+S1=sourceData.get('S1',[])
+
+################### Processing of the data sets calling the following objects ###################################
+#Replace missing values calling the corresponding object
+missingValues=HandleMissingValues()
+M1=missingValues.DeleteMissingValue(M1)
+M2=missingValues.DeleteMissingValue(M2)
+S1=missingValues.ReplaceWithMean(S1)
+
+#Detect outliers calling the DetectOutliers object
+outliers=HandleOutliers()
+M1=outliers.DeleteExtremeOutliers(M1)
+M2=outliers.DeleteExtremeOutliers(M2)
+S1=outliers.DeleteOutliers(S1)
+
+#Conduct distribution fitting calling the Distributions object and DistFittest object
+MLE=Distributions()
+KStest=DistFittest()
+M1=KStest.ks_test(M1)
+M2=KStest.ks_test(M2)
+S1=MLE.Exponential_distrfit(S1)
+#================================= Output preparation: output the updated values in the JSON file of this example =========================================================#
+jsonFile = open('JSON_ConveyerLine.json','r')      #It opens the JSON file 
+data = json.load(jsonFile)                         #It loads the file
+jsonFile.close()
+
+exportJSON=JSONOutput()
+stationId1='M1'
+stationId2='M2'
+stationId3='S1'
+
+data=exportJSON.ProcessingTimes(data, stationId1, M1)                           
+data1=exportJSON.ProcessingTimes(data, stationId2, M2)
+data2=exportJSON.InterarrivalTime(data1, stationId3, S1)
+
+jsonFile = open('JSON_ConveyerLine_Output.json',"w")     #It opens the JSON file
+jsonFile.write(json.dumps(data2, indent=True))           #It writes the updated data to the JSON file 
+jsonFile.close()                                         #It closes the file
\ No newline at end of file