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.
Sample rows
preview · 8 of 61 rows · all 18 columns| vehicle_idstring | sensor_statusstring | uptime_hoursfloat | alert_typestring | sensor_idstring | sensor_typestring | last_uptime_checkdatetime | alert_idstring | alert_severitystring | alert_timestampdatetime | vehicle_makestring | vehicle_modelstring | vehicle_yearinteger | vehicle_license_platestring | fleet_manager_idstring | location_latitudefloat | location_longitudefloat | alert_descriptionstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VH1001 | online | 1872.5 | blank | SEN-A1 | gps | 2024-06-01T10:23:17 | blank | blank | blank | Freightliner | Cascadia | 2018 | TXR-7921 | FM-102 | 32.7767 | -96.797 | blank |
| VH1002 | error | 34.2 | sensor_failure | SEN-B2 | engine | 2024-06-02T08:14:51 | ALT-5001 | critical | 2024-06-02T08:14:52 | Volvo | VNL | 2020 | CAQ-8312 | FM-100 | 34.0522 | -118.2437 | Engine sensor failed, immediate attention required. |
| VH1003 | maintenance | 0 | blank | SEN-C3 | brake | 2024-06-03T13:04:29 | blank | blank | blank | Kenworth | T680 | 2017 | OKB-1198 | FM-103 | 35.4676 | -97.5164 | blank |
| VH1004 | online | 462.9 | blank | SEN-D4 | temperature | 2024-05-31T20:58:00 | blank | blank | blank | International | LT | 2019 | FLA-3419 | FM-101 | 27.9506 | -82.4572 | blank |
| VH1005 | offline | 1200.6 | low_battery | SEN-E5 | tire_pressure | 2024-06-02T22:45:37 | ALT-5002 | warning | 2024-06-02T22:45:38 | Peterbilt | 579 | 2021 | TXG-4872 | blank | 29.7604 | -95.3698 | Tire pressure sensor battery low, replace soon. |
| VH1006 | online | 2375.8 | blank | SEN-F6 | gps | 2024-06-01T18:12:54 | blank | blank | blank | Freightliner | Cascadia | 2016 | NCA-2923 | FM-104 | 36.1699 | -115.1398 | blank |
| VH1007 | offline | 149.1 | sensor_failure | SEN-G7 | engine | 2024-05-30T09:03:10 | ALT-5003 | critical | 2024-05-30T09:03:11 | Volvo | VNL | 2015 | AZZ-1114 | FM-102 | 33.4484 | -112.074 | Engine sensor offline, check immediately. |
| VH1008 | online | 831.7 | blank | SEN-H8 | temperature | 2024-06-03T17:22:45 | blank | blank | blank | Kenworth | T660 | 2019 | ILM-2022 | FM-101 | 41.8781 | -87.6298 | blank |
| VH1009 | online | 982 | blank | SEN-I9 | brake | 2024-06-02T15:17:05 | blank | blank | blank | International | ProStar | 2022 | NYB-9934 | FM-105 | 42.3601 | -71.0589 | blank |
| VH1010 | maintenance | 0 | blank | SEN-J10 | tire_pressure | 2024-06-03T11:55:23 | blank | blank | blank | Peterbilt | 389 | 2014 | WIB-4812 | FM-103 | 44.9778 | -93.265 | blank |
| VH1011 | error | 22.5 | data_anomaly | SEN-K11 | other | 2024-05-31T04:47:39 | ALT-5004 | warning | 2024-05-31T04:47:40 | Freightliner | M2 106 | 2013 | COV-5343 | blank | 39.7392 | -104.9903 | Unexpected data pattern detected in sensor readings. |
| VH1012 | online | 1644.2 | blank | SEN-L12 | gps | 2024-06-01T23:21:15 | blank | blank | blank | Volvo | VNR | 2020 | ORP-1412 | FM-100 | 45.5122 | -122.6587 | blank |
| VH1013 | error | 12.1 | compliance_violation | SEN-M13 | engine | 2024-06-02T07:37:20 | ALT-5005 | critical | 2024-06-02T07:37:21 | Kenworth | T680 | 2021 | NJM-7721 | FM-105 | 40.7128 | -74.006 | Sensor malfunction led to missed compliance check. |
| VH1014 | online | 1872.5 | blank | SEN-N14 | brake | 2024-06-01T10:23:17 | blank | blank | blank | International | LT | 2018 | TXR-7921 | FM-102 | 32.7767 | -96.797 | blank |
| VH1015 | offline | 475 | low_battery | SEN-O15 | temperature | 2024-06-03T12:01:41 | ALT-5006 | warning | 2024-06-03T12:01:42 | Peterbilt | 579 | 2022 | TXG-4872 | blank | 29.7604 | -95.3698 | Temperature sensor battery low. |
| VH1016 | online | 2354.1 | blank | SEN-P16 | tire_pressure | 2024-05-31T20:58:00 | blank | blank | blank | Freightliner | M2 106 | 2017 | FLA-3419 | FM-101 | 27.9506 | -82.4572 | blank |
| VH1017 | error | 8.2 | data_anomaly | SEN-Q17 | other | 2024-06-02T22:45:37 | ALT-5007 | warning | 2024-06-02T22:45:38 | Volvo | VNL | 2016 | NCA-2923 | FM-104 | 36.1699 | -115.1398 | Unexpected spike in sensor output. |
| VH1018 | online | 1920 | blank | SEN-R18 | gps | 2024-06-01T18:12:54 | blank | blank | blank | Kenworth | T660 | 2015 | AZZ-1114 | FM-102 | 33.4484 | -112.074 | blank |
| VH1019 | maintenance | 0 | blank | SEN-S19 | engine | 2024-06-02T15:17:05 | blank | blank | blank | International | ProStar | 2019 | NYB-9934 | FM-105 | 42.3601 | -71.0589 | blank |
| VH1020 | error | 13.9 | sensor_failure | SEN-T20 | brake | 2024-06-03T17:22:45 | ALT-5008 | critical | 2024-06-03T17:22:46 | Peterbilt | 389 | 2014 | WIB-4812 | FM-103 | 44.9778 | -93.265 | Brake sensor malfunction detected. |
What the 61 rows show
from the 61-row sampleOnline (sensor status) stands out: mean uptime_
- 831.7median uptime_
hours - 3alert severities
- 6sensor types
- 6vehicle makes
- 12vehicle models
Median 831.7, from 0.0 to 2,376.
- string 12
- integer 1
- float 3
- datetime 2
Columns
18 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 12 columns | |||
vehicle_id | string | Unique identifier for each fleet vehicleunique | VH1001 |
sensor_id | string | Unique identifier for each IoT sensor installed on a vehicle | SEN-A1 |
sensor_type | string | Type of sensor (e.g., temperature, GPS, engine, brake, tire pressure)6 values | gps |
sensor_status | string | Current operational status of the sensoronline · offline · error · maintenance | online |
alert_id | string | Unique identifier for each alert generated by a sensorunique · optional | ALT-5001 |
alert_type | string | Type of alert generated (e.g., sensor_failure, low_battery, data_anomaly, compliance_violation)5 values · optional | sensor_failure |
alert_severity | string | Severity level of the alertcritical · warning · info · optional | critical |
alert_description | string | Detailed description of the alert eventoptional | Brake sensor offline. |
vehicle_make | string | Manufacturer of the vehicle6 makes · optional | Freightliner |
vehicle_model | string | Model of the vehicle12 models · optional | Cascadia |
vehicle_license_plate | string | License plate number of the vehicleoptional | TXR-7921 |
fleet_manager_id | string | Identifier for the fleet manager responsible for the vehicleoptional | FM-102 |
| Numbers 4 columns | |||
uptime_hours | float | Total hours the sensor has been operational since last reset0 or more | 1872.5 |
vehicle_year | integer | Year the vehicle was manufactured1,980 to 2,100 · optional | 2018 |
location_latitude | float | Latitude of the vehicle's last known location-90 to 90 · optional | 32.7767 |
location_longitude | float | Longitude of the vehicle's last known location-180 to 180 · optional | -96.797 |
| Dates and times 2 columns | |||
last_uptime_check | datetime | Timestamp of the most recent uptime status check | 2024-06-01T10:23:17 |
alert_timestamp | datetime | Timestamp when the alert was generatedoptional | 2024-06-02T08:14:52 |
Use it for
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.
- Vehicles61VH10011872.5onlineVH100234.2errorVH10030maintena…
A software demo
Believable vehicles with sensor_
id, sensor_ type and sensor_ status to fill a screen in front of a buyer.
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.
- 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.
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- fleet-sensor-uptime-and-alerts