N4 Insights


Overview


N4 Insights is a data and analytics module. Station trends or histories are processed to provide feedback into a station to optimize energy, reduce faults, and create actionable insights. N4 Insights doesn't require any complex tagging or have any license limits. It uses implied tags and BQL to retrieve the data required for analysis.

N4 Insights has a web API so 3rd party integrators can retrieve data without any limitations. A combination of polling and caching is used to limit the usage of station resources.

Algorithms include AVG, MIN, MAX, SUM, etc. The interval period is automatically calculated to show the correct volume of data. The data retrieved can be used with N4 View Builder. Data is plotted on a Line Chart and can be compared with previous date ranges. + or - arrows indicate whether data has increased or decreased over the periods selected.

Features

Algorithms

Algorithms include AVG, MIN, MAX, SUM, and COUNT. Large recordsets are quickly processed in the most efficient way, server-side.

Interval

The interval period is automatically calculated to show the correct volume of data. Standard times ranges are included: today, yesterday, thisWeek, lastWeek, thisMonth, lastMonth, thisYear, lastYear, weekToDate, monthToDate, yearToDate, or custom.

Any Station

N4 Insights has its own Web Api and can be used on any station to retrieve data quickly using an advanced caching mechanism.

Web API


Its easy to pull data from any Niagara station, in fact, its what View Builder uses to show large data sets. Get trends, retrieve point data, alarm records, and invoke actions. Here is an example:

Request:


{
  "requests": [{
	  "message": "GetTrend",
	  "node": "station:|slot:/Drivers/NiagaraNetwork/Temp",
	  "rollup": "avg",
	  "period": "thisMonth",
	  "timeRange": "" // optional
  }]
}
                                

Response:


{
    "responses": [
        [
            {
                "timeStamp": "2019-08-01T23:00:00.000+01:00",
                "value": 19.056145777304966
            },
            {
                "timeStamp": "2019-08-02T23:00:00.000+01:00",
                "value": 19.54452631097091
            },
            {
                "timeStamp": "2019-08-03T23:00:00.000+01:00",
                "value": 18.926559171369
            },
            {
                "timeStamp": "2019-08-04T23:00:00.000+01:00",
                "value": 19.622340445822857
            },
            {
                "timeStamp": "2019-08-05T23:00:00.000+01:00",
                "value": 19.11329781755488
            },
            {
                "timeStamp": "2019-08-06T23:00:00.000+01:00",
                "value": 18.555161281298567
            },
            {
                "timeStamp": "2019-08-07T23:00:00.000+01:00",
                "value": 18.003999985588923
            }
        ]
    ]
}
                                

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