Understanding the v1 data export schema - Amazon Monitron

Understanding the v1 data export schema

Note

Amazon Monitron Kinesis data export schema v1 has been deprecated. Learn more about the v2 data export schema.

Each measurement data and its corresponding inference result are exported as one Kinesis data stream record in JSON format.

v1 schema format

{ "timestamp": "string", "eventId": "string", "version": "string", "projectDisplayName": "string", "siteDisplayName": "string", "assetDisplayName": "string", "sensorPositionDisplayName": "string", "sensor": { "physicalId": "string", "rssi": number }, "gateway": { "physicalId": "string" }, "measurement": { "features": { "acceleration": { "band0To6000Hz": { "xAxis": { "rms": number }, "yAxis": { "rms": number }, "zAxis": { "rms": number } }, "band10To1000Hz": { "resultantVector": { "absMax": number, "absMin": number, "crestFactor": number, "rms": number }, "xAxis": { "rms": number }, "yAxis": { "rms": number }, "zAxis": { "rms": number } } }, "temperature": number, "velocity": { "band10To1000Hz": { "resultantVector": { "absMax": number, "absMin": number, "crestFactor": number, "rms": number }, "xAxis": { "rms": number }, "yAxis": { "rms": number }, "zAxis": { "rms": number } } } }, "sequenceNo": number }, "models": { "temperatureML": { "persistentClassificationOutput": "string", "pointwiseClassificationOutput": "string" }, "vibrationISO": { "isoClass": "string", "mutedThreshold": "string", "persistentClassificationOutput": "string", "pointwiseClassificationOutput": "string" }, "vibrationML": { "persistentClassificationOutput": "string", "pointwiseClassificationOutput": "string" } }, "assetState": { "newState": "string", "previousState": "string" } }

v1 schema parameters

timestamp
  • The timestamp when the measurement is received by Monitron service in UTC

  • Type: String

  • Pattern: yyyy-mm-dd hh:mm:ss.SSS

eventId
  • The unique data export event ID assigned for each measurement. Can be used to deduplicate the Kinesis stream records received.

  • Type: String

version
  • Schema version

  • Type: String

  • Current Value: 1.0

projectDisplayName
  • The project name displayed in the App and console

  • Type: String

siteDisplayName
  • The site name displayed in the App

  • Type: String

assetDisplayName
  • The asset name displayed in the App

  • Type: String

sensorPositionDisplayName
  • The sensor position name displayed in the App

  • Type: String

sensor.physicalId
  • The physical ID of the sensor from which the measurement is sent

  • Type: String

sensor.rssi
  • The sensor bluetooth received signal strength indicator value

  • Type: Number

  • Unit: dBm

gateway.physicalId
  • The physical ID of the gateway used to transmit data to Amazon Monitron service

  • Type: String

measurement.features.acceleration.band0To6000Hz.xAxis.rms
  • The root mean square of the acceleration observed in the frequency band 0–6000 Hz in the x axis

  • Type: Number

  • Unit: m/s^2

measurement.features.acceleration.band0To6000Hz.yAxis.rms
  • The root mean square of the acceleration observed in the frequency band 0–6000 Hz in the y axis

  • Type: Number

  • Unit: m/s^2

measurement.features.acceleration.band0To6000Hz.zAxis.rms
  • The root mean square of the acceleration observed in the frequency band 0–6000 Hz in the y axis

  • Type: Number

  • Unit: m/s^2

measurement.features.acceleration.band10To1000Hz.resultantVector.absMax
  • The absolute maximum acceleration observed in the frequency band 10–1000 Hz

  • Type: Number

  • Unit: m/s^2

measurement.features.acceleration.band10To1000Hz.resultantVector.absMin
  • The absolute minimum acceleration observed in the frequency band 10–1000 Hz

  • Type: Number

  • Unit: m/s^2

measurement.features.acceleration.band10To1000Hz.resultantVector.crestFactor
  • The acceleration crest factor observed in the frequency band 10–1000 Hz

  • Type: Number

measurement.features.acceleration.band10To1000Hz.resultantVector.rms
  • The root mean square of the acceleration observed in the frequency band 10–1000 Hz

  • Type: Number

  • m/s^2

measurement.features.acceleration.band10To1000Hz.xAxis.rms
  • The root mean square of the acceleration observed in the frequency band 10–1000 Hz in the x axis

  • Type: Number

  • m/s^2

measurement.features.acceleration.band10To1000Hz.yAxis.rms
  • The root mean square of the acceleration observed in the frequency band 10–1000 Hz in the y axis

  • Type: Number

  • m/s^2

measurement.features.acceleration.band10To1000Hz.zAxis.rms
  • The root mean square of the acceleration observed in the frequency band 10–1000 Hz in the z axis

  • Type: Number

  • m/s^2

measurement.features.temperature
  • The temperature observed

  • Type: Number

  • °C/degC

measurement.features.velocity.band10To1000Hz.resultantVector.absMax
  • The absolute maximum velocity observed in the frequency band 10–1000 Hz

  • Type: Number

  • mm/s

measurement.features.velocity.band10To1000Hz.resultantVector.absMin
  • The absolute minimum velocity observed in the frequency band 10–1000 Hz

  • Type: Number

  • mm/s

measurement.features.velocity.band10To1000Hz.resultantVector.crestFactor
  • The velocity crest factor observed in the frequency band 10–1000 Hz

  • Type: Number

measurement.features.velocity.band10To1000Hz.resultantVector.rms
  • The root mean square of the velocity observed in the frequency band 10–1000 Hz

  • Type: Number

  • mm/s

measurement.features.velocity.band10To1000Hz.xAxis.rms
  • The root mean square of the velocity observed in the frequency band 10–1000 Hz in the x axis

  • Type: Number

  • mm/s

measurement.features.velocity.band10To1000Hz.yAxis.rms
  • The root mean square of the velocity observed in the frequency band 10–1000 Hz in the y axis

  • Type: Number

  • mm/s

measurement.features.velocity.band10To1000Hz.zAxis.rms
  • The root mean square of the velocity observed in the frequency band 10–1000 Hz in the z axis

  • Type: Number

  • mm/s

measurement.sequenceNo
  • The measurement sequence number

  • Type: Number

models.temperatureML.persistentClassificationOutput
  • The persistent classification output from the machine learning based temperature model

  • Type: Number

  • Valid Values: UNKNOWN | HEALTHY | WARNING | ALARM

models.temperatureML.pointwiseClassificationOutput
  • The point–wise classification output from the machine learning based temperature model

  • Type: String

  • Valid Values: UNKNOWN | INITIALIZING | HEALTHY | WARNING | ALARM

models.vibrationISO.isoClass
  • The ISO 20816 class (a standard for measurement and evaluation of machine vibration) used by the ISO based vibration model

  • Type: String

  • Valid Values: CLASS1 | CLASS2 | CLASS3 | CLASS4 | FAN_BV2

models.vibrationISO.mutedThreshold
  • The threshold to mute the notification from the ISO based vibration model

  • Type: String

  • Valid Values: WARNING | ALARM

models.vibrationISO.persistentClassificationOutput
  • The persistent classification output from the ISO based vibration model

  • Type: String

  • Valid Values: UNKNOWN | HEALTHY | WARNING | ALARM

models.vibrationISO.pointwiseClassificationOutput
  • The point–wise classification output from the the ISO based vibration model

  • Type: String

  • Valid Values: UNKNOWN | HEALTHY | WARNING | ALARM | MUTED_WARNING | MUTED_ALARM

models.vibrationML.persistentClassificationOutput
  • The persistent classification output from the machine learning based vibration model

  • Type: String

  • Valid Values: UNKNOWN | HEALTHY | WARNING | ALARM

models.vibrationML.pointwiseClassificationOutput
  • The point–wise classification output from the machine learning based vibration model

  • Type: String

  • Valid Values: UNKNOWN | INITIALIZING | HEALTHY | WARNING | ALARM

assetState.newState
  • The machine status after processing the measurement

  • Type: String

  • Valid Values: UNKNOWN | HEALTHY | NEEDS_MAINTENANCE | WARNING | ALARM

assetState.previousState
  • The machine status before processing the measurement

  • Type: String

  • Valid Values: UNKNOWN | HEALTHY | NEEDS_MAINTENANCE | WARNING | ALARM