Fleet Sensor Uptime and Alerts

This dataset provides granular, real-time monitoring of fleet vehicle health through IoT sensor uptime and automated alert generation. It enables logistics and transport managers to proactively manage maintenance, minimize unplanned downtime, and ensure regulatory compliance by tracking sensor performance, alert events, and vehicle details. The dataset is ideal for operational analytics, predictive maintenance, and safety audits.

  • last updated 30 Dec 2025
  • by GoMask
The brief that made it

Predictive maintenance scheduling for fleet vehicles

Sample rows

preview · 8 of 61 rows · all 18 columns
vehicle_idstringsensor_statusstringuptime_hoursfloatalert_typestringsensor_idstringsensor_typestringlast_uptime_checkdatetimealert_idstringalert_severitystringalert_timestampdatetimevehicle_makestringvehicle_modelstringvehicle_yearintegervehicle_license_platestringfleet_manager_idstringlocation_latitudefloatlocation_longitudefloatalert_descriptionstring
VH1001online1872.5blankSEN-A1gps2024-06-01T10:23:17blankblankblankFreightlinerCascadia2018TXR-7921FM-10232.7767-96.797blank
VH1002error34.2sensor_failureSEN-B2engine2024-06-02T08:14:51ALT-5001critical2024-06-02T08:14:52VolvoVNL2020CAQ-8312FM-10034.0522-118.2437Engine sensor failed, immediate attention required.
VH1003maintenance0blankSEN-C3brake2024-06-03T13:04:29blankblankblankKenworthT6802017OKB-1198FM-10335.4676-97.5164blank
VH1004online462.9blankSEN-D4temperature2024-05-31T20:58:00blankblankblankInternationalLT2019FLA-3419FM-10127.9506-82.4572blank
VH1005offline1200.6low_batterySEN-E5tire_pressure2024-06-02T22:45:37ALT-5002warning2024-06-02T22:45:38Peterbilt5792021TXG-4872blank29.7604-95.3698Tire pressure sensor battery low, replace soon.
VH1006online2375.8blankSEN-F6gps2024-06-01T18:12:54blankblankblankFreightlinerCascadia2016NCA-2923FM-10436.1699-115.1398blank
VH1007offline149.1sensor_failureSEN-G7engine2024-05-30T09:03:10ALT-5003critical2024-05-30T09:03:11VolvoVNL2015AZZ-1114FM-10233.4484-112.074Engine sensor offline, check immediately.
VH1008online831.7blankSEN-H8temperature2024-06-03T17:22:45blankblankblankKenworthT6602019ILM-2022FM-10141.8781-87.6298blank

What the 61 rows show

from the 61-row sample

Online (sensor status) stands out: mean uptime_hours is 1,672, against 105.5 for the rest.

  • 831.7median uptime_hours
  • 3alert severities
  • 6sensor types
  • 6vehicle makes
  • 12vehicle models
Mean uptime_hours by sensor_status61 rows
01,0002,0001,672online31 rows258.0offline8 rows78.5error14 rows0.0maintena…8 rows
uptime_hours61 rows, in bands of 250
015302730333685301,2502,500uptime_hours →

Median 831.7, from 0.0 to 2,376.

alert_type22 rows with a value · 39 left blank
  1. sensor_failure9
  2. data_anomaly6
  3. low_battery4
  4. compliance_violation3
18 columns by typefrom the column list below
  • string 12
  • integer 1
  • float 3
  • datetime 2

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 12 columns
vehicle_idstringUnique identifier for each fleet vehicleuniqueVH1001
sensor_idstringUnique identifier for each IoT sensor installed on a vehicleSEN-A1
sensor_typestringType of sensor (e.g., temperature, GPS, engine, brake, tire pressure)6 valuesgps
sensor_statusstringCurrent operational status of the sensoronline · offline · error · maintenanceonline
alert_idstringUnique identifier for each alert generated by a sensorunique · optionalALT-5001
alert_typestringType of alert generated (e.g., sensor_failure, low_battery, data_anomaly, compliance_violation)5 values · optionalsensor_failure
alert_severitystringSeverity level of the alertcritical · warning · info · optionalcritical
alert_descriptionstringDetailed description of the alert eventoptionalBrake sensor offline.
vehicle_makestringManufacturer of the vehicle6 makes · optionalFreightliner
vehicle_modelstringModel of the vehicle12 models · optionalCascadia
vehicle_license_platestringLicense plate number of the vehicleoptionalTXR-7921
fleet_manager_idstringIdentifier for the fleet manager responsible for the vehicleoptionalFM-102
Numbers 4 columns
uptime_hoursfloatTotal hours the sensor has been operational since last reset0 or more1872.5
vehicle_yearintegerYear the vehicle was manufactured1,980 to 2,100 · optional2018
location_latitudefloatLatitude of the vehicle's last known location-90 to 90 · optional32.7767
location_longitudefloatLongitude of the vehicle's last known location-180 to 180 · optional-96.797
Dates and times 2 columns
last_uptime_checkdatetimeTimestamp of the most recent uptime status check2024-06-01T10:23:17
alert_timestampdatetimeTimestamp when the alert was generatedoptional2024-06-02T08:14:52

Use it for

  • median uptime …831.761 rowsmean uptime hours by …1.7konli…258.0offl…78.5error0.0main…

    A logistics dashboard

    Uptime_hours by sensor_status and a breakdown of alert_type. Excel, Power BI or Tableau.

  • Why do the 31 online rows have a mean uptime_hours of 1,672?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable vehicles with sensor_id, sensor_type and sensor_status to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset61 rows18 columns
Yours1,000 rows18 columnslocation_latitude: UK only

blueprint · fleet-sensor-uptime-and-alerts

Behind this dataset

Same schema. As many rows as you need.

These 61 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row logs a single vehicle's daily sensor status.
  • Alert is generated if sensor uptime < 95%.
  • Sensor types include GPS, engine, brake, and temperature.
  • Downtime events must include timestamp and duration.
  • All alert resolutions are recorded within 48 hours.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
fleet-sensor-uptime-and-alerts

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