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Brewery

Watch how MindSphere can use outlier detection to analyze production line events. Visualize and analyze how delayed delivery of ingredients, a broken conveyor belt, or maintenance issues can affect output.

Current Bottle Production 86.18

Bottle Production

0 1 2 3 4 5 6 0% 5000% 10000% 15000% 20000% 25000% 30000%
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 0% 5000% 10000% 15000% 20000% 25000% 30000%
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 0% 5000% 10000% 15000% 20000% 25000% 30000%

Time (Seconds)

API: Outlier Detection

Get

/api/outliers/id

Response

Parameters

{
  "creationTimestamp": "2017-08-19T09:56:59.092Z",
  "from": "2017-05-03T08:34:08.040Z",
  "to": "2017-05-04T08:34:08.040Z",
  "count": 3,
  "threshold": 300,
  "assetId": "64",
  "aspectName": "amout",
  "variableName": "CountBottles",
  "_links": {
    "self": {
      "href": "http://localhost:8080/api/outliers/a34d508f-b1c8-44db-ad75-f6d9e0fee40d"
    },
    "events": {
      "href": "http://localhost:8080/api/outliers/a34d508f-b1c8-44db-ad75-f6d9e0fee40d/events"
    }
  },
  "id": "a34d508f-b1c8-44db-ad75-f6d9e0fee40d"
}
                

Id

(Required) string

About the API

Outlier detection works with the TimeSeries service to specify start and end points of outliers - sets of events for particular sensors over particular time ranges in the past.