Transportation
17 columns
120 rows
8 formats

Fleet IoT Sensor Anomaly Logs

This dataset provides detailed logs of anomalies detected by IoT sensors across fleet vehicles, including sensor readings, anomaly types, severity, geolocation, and resolution status. It supports predictive maintenance, asset security, and operational analytics for transportation startups, enabling rapid integration with anomaly detection models and edge computing frameworks.

last updated 8 Dec 2025
by GoMask

The brief that made it

Predictive maintenance and failure prevention for fleet vehicles

Sample rows

preview · 8 of 120 rows · all 17 columns

log_idstring	sensor_typestring	expected_value_range_minfloat	resolvedboolean	anomaly_typestring	vehicle_idstring	sensor_idstring	anomaly_severityinteger	sensor_valuefloat	expected_value_range_maxfloat	timestampdatetime	location_latitudefloat	location_longitudefloat	vehicle_statusstring	resolution_timestampdatetime	anomaly_descriptionstring	resolution_notesstring
LOG-001	temperature	10	true	threshold_breach	VEH-1001	SEN-temperature-01	4	180.5	120	2024-06-01T10:23:00Z	37.7749	-122.4194	moving	2024-06-01T11:02:00Z	Engine temperature exceeded critical threshold during midday city route.	Vehicle stopped and engine cooled. Sensor recalibrated, driver notified.
LOG-002	gps	blank	false	missing_data	VEH-1002	SEN-gps-02	2	blank	blank	2024-06-02T14:15:00Z	40.7128	-74.006	idle	blank	GPS signal lost for over 10 minutes on rural highway segment.	blank
LOG-003	fuel	20	true	outlier	VEH-1003	SEN-fuel-01	2	42.1	40	2024-06-03T09:32:00Z	34.0522	-118.2437	moving	2024-06-03T10:00:00Z	Sudden spike in fuel consumption detected during morning delivery.	Driver advised to check for fuel leaks. No issue found, log closed.
LOG-004	vibration	2	false	unexpected_pattern	VEH-1004	SEN-vibration-03	3	12.5	9	2024-06-03T16:41:00Z	51.5074	-0.1278	moving	blank	Irregular vibration pattern detected during acceleration phase.	blank
LOG-005	pressure	28	true	threshold_breach	VEH-1005	SEN-pressure-01	3	14	36	2024-06-04T06:12:00Z	35.6895	139.6917	maintenance	2024-06-04T06:51:00Z	Tire pressure dropped below safe level before scheduled departure.	Tire replaced and pressure reset. Vehicle cleared for operation.
LOG-006	humidity	30	true	threshold_breach	VEH-1006	SEN-humidity-02	4	99.9	85	2024-06-05T12:06:00Z	48.8566	2.3522	moving	2024-06-05T12:50:00Z	Humidity sensor recorded levels above 99% after heavy rainfall event.	Sensor replaced. Water ingress checked, no further anomalies detected.
LOG-007	other	blank	true	other	VEH-1007	SEN-other-04	2	blank	blank	2024-06-06T15:13:00Z	blank	blank	maintenance	2024-06-06T16:00:00Z	Firmware error detected on custom sensor during diagnostics.	Firmware updated and sensor restarted. Issue resolved.
LOG-008	gps	blank	false	unexpected_pattern	VEH-1008	SEN-gps-03	2	blank	blank	2024-06-07T08:45:00Z	60.1699	24.9384	moving	blank	GPS drift detected during navigation in remote area.	blank
LOG-009	temperature	10	true	outlier	VEH-1009	SEN-temperature-02	1	-5.2	80	2024-06-08T12:21:00Z	-33.8688	151.2093	moving	2024-06-08T12:51:00Z	Temperature sensor reported below freezing value during midday.	Sensor recalibrated. No operational impact detected.
LOG-010	fuel	blank	false	missing_data	VEH-1010	SEN-fuel-02	1	blank	blank	2024-06-09T14:03:00Z	55.7558	37.6176	idle	blank	Fuel sensor failed to transmit data during last route.	blank
LOG-011	vibration	2	true	threshold_breach	VEH-1011	SEN-vibration-01	3	10.1	9	2024-06-10T07:45:00Z	41.8781	-87.6298	moving	2024-06-10T08:19:00Z	Vibration amplitude exceeded safe threshold during acceleration.	Suspension checked and repaired. Vibration normalized.
LOG-012	pressure	28	true	threshold_breach	VEH-1012	SEN-pressure-02	4	0	36	2024-06-11T09:12:00Z	19.4326	-99.1332	maintenance	2024-06-11T09:41:00Z	Pressure sensor reported zero value during maintenance check.	Sensor replaced. System recalibrated for accurate readings.
LOG-013	humidity	30	true	outlier	VEH-1013	SEN-humidity-03	2	12.2	85	2024-06-12T06:55:00Z	52.52	13.405	idle	2024-06-12T07:28:00Z	Humidity sensor recorded abnormal low value after overnight storage.	Sensor recalibrated. Humidity readings normalized.
LOG-014	gps	blank	false	communication_error	VEH-1014	SEN-gps-04	1	blank	blank	2024-06-13T19:09:00Z	blank	blank	offline	blank	GPS sensor failed to communicate with central server.	blank
LOG-015	fuel	30	false	threshold_breach	VEH-1015	SEN-fuel-03	2	5	70	2024-06-14T04:22:00Z	40.4168	-3.7038	idle	blank	Fuel sensor reading below minimum expected level at start of shift.	blank
LOG-016	vibration	2	true	outlier	VEH-1016	SEN-vibration-02	3	6.5	4	2024-06-15T17:32:00Z	-23.5505	-46.6333	moving	2024-06-15T18:10:00Z	Unusual vibration spike detected during heavy load operation.	Load distribution adjusted. Vibration normalized.
LOG-017	pressure	28	false	other	VEH-1017	SEN-pressure-03	3	blank	36	2024-06-16T11:23:00Z	59.3293	18.0686	maintenance	blank	Pressure sensor calibration error detected during scheduled check.	blank
LOG-018	humidity	20	true	threshold_breach	VEH-1018	SEN-humidity-01	4	100	85	2024-06-01T12:22:00Z	43.6532	-79.3832	idle	2024-06-01T13:00:00Z	Humidity sensor exceeded safe range while parked in humid environment.	Cabin dehumidified and sensor replaced. Vehicle returned to service.
LOG-019	temperature	30	true	threshold_breach	VEH-1019	SEN-temperature-03	3	130	120	2024-06-02T16:33:00Z	35.6762	139.6503	moving	2024-06-02T17:15:00Z	Engine temperature briefly exceeded max limit during uphill climb.	Engine cooled at rest stop. Driver advised to monitor temperature.
LOG-020	gps	blank	false	missing_data	VEH-1020	SEN-gps-05	1	blank	blank	2024-06-03T18:46:00Z	27.9878	86.925	idle	blank	GPS data not received for 5 minutes in mountainous region.	blank

What the 120 rows show

from the 120-row sample

Vibration (sensor type) stands out: mean expected_value_range_min is 1.9, against 23.5 for the rest.

57%resolved = true
20.0median expected_value_range_min
5vehicle statuses
2.5median anomaly_severity
19.3median sensor_value
55.0median expected_value_range_max

Mean expected_value_range_min by sensor_type85 rows

expected_value_range_min85 rows, in bands of 5

Median 20.0, from 1.0 to 40.0.

anomaly_type120 rows · 6 values

threshold_breach45
outlier27
missing_data14
unexpected_pattern13
other13
communication_error8

17 columns by typefrom the column list below

string 8
integer 1
float 5
datetime 2
boolean 1

Columns

17 columns in four groups

blueprint · 17 columns
column	type	description	example
Text 8 columns
`log_id`	string	Unique identifier for each anomaly log entryunique	LOG-001
`vehicle_id`	string	Unique identifier for the vehicle in the fleet	VEH-1001
`sensor_id`	string	Unique identifier for the IoT sensor reporting the anomaly	SEN-temperature-01
`sensor_type`	string	Type of sensor (e.g., temperature, vibration, GPS, fuel)7 values	temperature
`anomaly_type`	string	Category of anomaly detected (e.g., outlier, threshold breach, missing data)6 values	threshold_breach
`anomaly_description`	string	Detailed description of the anomaly eventoptional	Engine temperature exceed…
`vehicle_status`	string	Operational status of the vehicle at anomaly time (e.g., moving, idle, maintenance)moving · idle · maintenance · offline · other · optional	moving
`resolution_notes`	string	Notes or actions taken to resolve the anomalyoptional	Vehicle stopped and engin…
Numbers 6 columns
`anomaly_severity`	integer	Severity level of the anomaly (1=Low, 2=Medium, 3=High, 4=Critical)1 to 4	4
`sensor_value`	float	Sensor reading at the time of anomalyoptional	180.5
`expected_value_range_min`	float	Minimum expected value for the sensor under normal conditionsoptional	10
`expected_value_range_max`	float	Maximum expected value for the sensor under normal conditionsoptional	120
`location_latitude`	float	Latitude coordinate of the vehicle at anomaly detection-90 to 90 · optional	37.7749
`location_longitude`	float	Longitude coordinate of the vehicle at anomaly detection-180 to 180 · optional	-122.4194
Dates and times 2 columns
`timestamp`	datetime	Date and time when the anomaly was detected	2024-06-01T10:23:00Z
`resolution_timestamp`	datetime	Date and time when the anomaly was resolvedoptional	2024-06-01T11:02:00Z
True or false 1 column
`resolved`	boolean	Indicates whether the anomaly has been resolved	true

Use it for

A transportation dashboard
The resolved rate, expected_value_range_min by sensor_type and a breakdown of anomaly_type. Excel, Power BI or Tableau.
Why do the 18 vibration rows have a mean expected_value_range_min of 1.9?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs120
LOG-00110temperat…
LOG-002gps
LOG-00320fuel
A software demo
Believable logs with vehicle_id, sensor_id and sensor_type to fill a screen in front of a buyer.

This dataset120 rows17 columns

Yours1,000 rows17 columnslocation_latitude: UK only

blueprint · fleet-iot-sensor-anomaly-logs

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 17 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 represents a unique sensor event from a fleet vehicle.
Event types must include both operational and environmental anomalies.
Timestamp and vehicle ID are required for every entry.
Anomaly severity is categorized as low, medium, or high.
Sensor types must include GPS, temperature, and accelerometer.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: fleet-iot-sensor-anomaly-logs

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

A transportation dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Transportation

What should your data show?