IoT Device Network Events
This dataset provides a comprehensive event log from diverse IoT devices deployed in a smart building, including device identifiers, event types, sensor readings, and maintenance indicators. It enables robust anomaly detection, predictive maintenance, and spatial analysis of device health and performance across locations and time. The rich event details support operational monitoring, troubleshooting, and optimization of building systems.
Sample rows
preview · 8 of 200 rows · all 17 columns| event_idstring | device_typestring | sensor_reading_valuefloat | maintenance_requiredboolean | sensor_reading_unitstring | device_idstring | device_location_floorinteger | device_location_roomstring | event_timestampdatetime | event_typestring | event_severitystring | firmware_versionstring | battery_levelfloat | network_statusstring | anomaly_scorefloat | assigned_technician_idstring | event_descriptionstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EVT-0001 | camera | blank | true | blank | DEV-CAM-01 | 5 | Roof | 2024-06-01T08:15:23Z | anomaly | critical | v2.3.2 | 22.5 | degraded | 0.89 | TECH-101 | Camera detected unauthorized motion on roof. |
| EVT-0002 | thermostat | 22.8 | false | °C | DEV-THM-03 | 2 | ConfRoom | 2024-06-01T08:45:12Z | reading | blank | v1.4.5 | 95.2 | online | blank | blank | Thermostat reported temperature reading. |
| EVT-0003 | water_leak_sensor | blank | true | blank | DEV-WLS-01 | 0 | Basement | 2024-06-01T09:02:48Z | alert | critical | v1.1.9 | 14.6 | offline | blank | TECH-112 | Water leak detected near main pipes. |
| EVT-0004 | humidity_sensor | 46.1 | false | % | DEV-HUM-03 | 1 | Lab | 2024-06-01T09:30:15Z | reading | blank | v1.0.7 | 82.3 | online | blank | blank | Humidity sensor captured reading. |
| EVT-0005 | smoke_detector | blank | true | blank | DEV-SMK-01 | 1 | Kitchen | 2024-06-01T09:46:37Z | alert | critical | v2.0.1 | 17.9 | degraded | blank | TECH-109 | Smoke detected in kitchen area. |
| EVT-0006 | environmental_monitor | blank | true | blank | DEV-ENV-01 | 4 | ServerRoom | 2024-06-01T10:12:21Z | anomaly | warning | v2.1.0 | 66.7 | degraded | 0.74 | TECH-104 | Environmental monitor detected temperature spike. |
| EVT-0007 | thermostat | blank | false | blank | DEV-THM-01 | 3 | OfficeA | 2024-06-01T10:45:49Z | status_update | info | v1.4.3 | 67.6 | online | blank | blank | Thermostat operating within normal range. |
| EVT-0008 | light_sensor | 1230.6 | false | lux | DEV-LUX-01 | 2 | Lobby | 2024-06-01T11:05:32Z | reading | blank | v1.2.5 | 99.8 | online | blank | blank | Light sensor reported illumination level. |
| EVT-0009 | door_sensor | blank | true | blank | DEV-DOOR-02 | 1 | Lobby | 2024-06-01T11:32:17Z | alert | critical | v1.0.8 | 5.9 | offline | blank | TECH-102 | Door sensor detected forced entry. |
| EVT-0010 | humidity_sensor | 43.9 | false | % | DEV-HUM-01 | 1 | Lab | 2024-06-01T11:46:09Z | reading | blank | v1.0.6 | 73.5 | online | blank | blank | Humidity sensor captured reading. |
| EVT-0011 | environmental_monitor | blank | true | blank | DEV-ENV-02 | 5 | ServerRoom | 2024-06-01T12:10:31Z | anomaly | warning | v2.1.1 | 60.3 | degraded | 0.68 | TECH-113 | Environmental monitor detected humidity drop. |
| EVT-0012 | thermostat | blank | false | blank | DEV-THM-02 | 3 | OfficeB | 2024-06-01T12:31:14Z | status_update | info | v1.4.2 | 59.2 | online | blank | blank | Thermostat status updated. |
| EVT-0013 | water_leak_sensor | blank | true | blank | DEV-WLS-02 | 0 | Basement | 2024-06-01T12:44:52Z | alert | critical | v1.1.7 | 8.2 | offline | blank | TECH-115 | Water leak detected in storage. |
| EVT-0014 | camera | blank | false | blank | DEV-CAM-02 | 5 | Roof | 2024-06-01T13:07:38Z | status_update | warning | v2.3.2 | 42.7 | degraded | blank | blank | Camera connectivity degraded. |
| EVT-0015 | light_sensor | 1120.5 | false | lux | DEV-LUX-02 | 2 | Lobby | 2024-06-01T13:29:55Z | reading | blank | v1.2.6 | 97 | online | blank | blank | Light sensor reported illumination level. |
| EVT-0016 | smoke_detector | blank | true | blank | DEV-SMK-02 | 1 | Kitchen | 2024-06-01T13:56:13Z | alert | critical | v2.0.2 | 20.3 | degraded | blank | TECH-105 | Smoke detected near pantry. |
| EVT-0017 | door_sensor | blank | false | blank | DEV-DOOR-01 | 1 | Lobby | 2024-06-01T14:17:29Z | status_update | info | v1.0.9 | 62.4 | online | blank | blank | Door sensor status is normal. |
| EVT-0018 | environmental_monitor | blank | false | blank | DEV-ENV-03 | 4 | ServerRoom | 2024-06-01T14:33:45Z | maintenance | info | v2.2.0 | 88.2 | online | blank | TECH-107 | Maintenance performed on environmental monitor. |
| EVT-0019 | thermostat | 23.1 | false | °C | DEV-THM-04 | 2 | ConfRoom | 2024-06-01T14:57:11Z | reading | blank | v1.4.7 | 98.7 | online | blank | blank | Thermostat reported temperature reading. |
| EVT-0020 | humidity_sensor | 40.8 | false | % | DEV-HUM-02 | 1 | Lab | 2024-06-01T15:14:32Z | reading | blank | v1.0.8 | 74.9 | online | blank | blank | Humidity sensor captured reading. |
What the 200 rows show
from the 200-row sampleLight_
- 30%maintenance_
required = true - 45.8median sensor_
reading_ value - 3event severities
- 3network statuses
- 5event types
- 28device location rooms
Median 45.8, from 0.0 to 1,532.
- string 11
- integer 1
- float 3
- datetime 1
- boolean 1
Columns
17 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 11 columns | |||
event_id | string | Unique identifier for each event recordunique | EVT-0001 |
device_id | string | Unique identifier for the IoT device generating the event | DEV-CAM-01 |
device_type | string | Type or model of the IoT device (e.g., thermostat, camera, sensor)8 types | camera |
device_location_room | string | Room identifier or name where the device is installedoptional | Roof |
event_type | string | Type of event (e.g., status_update, anomaly, alert, reading)status_update · anomaly · alert · reading · maintenance | anomaly |
event_severity | string | Severity level of the event (e.g., info, warning, critical)info · warning · critical · optional | critical |
event_description | string | Detailed description or message associated with the eventoptional | Humidity reading: 45.7% |
sensor_reading_unit | string | Unit of measurement for the sensor reading (e.g., °C, %, lux)4 units · optional | °C |
firmware_version | string | Firmware version running on the deviceoptional | v2.3.2 |
network_status | string | Network connectivity status of the device (e.g., online, offline, degraded)online · offline · degraded · optional | degraded |
assigned_technician_id | string | Identifier for technician assigned to the device/event (if applicable)optional | TECH-101 |
| Numbers 4 columns | |||
device_location_floor | integer | Floor number where the device is located0 or more · optional | 5 |
sensor_reading_value | float | Numeric value reported by the device (if applicable)optional | 22.8 |
battery_level | float | Current battery level of the device as a percentage (0-100)0 to 100 · optional | 22.5 |
anomaly_score | float | Score indicating likelihood of anomaly (0-1, higher is more anomalous)0 to 1 · optional | 0.89 |
| Dates and times 1 column | |||
event_timestamp | datetime | Date and time when the event occurred | 2024-06-01T08:15:23Z |
| True or false 1 column | |||
maintenance_required | boolean | Indicates if the device requires maintenanceoptional | true |
Use it for
A technology dashboard
The maintenance_
required rate, sensor_ reading_ value by device_ type and a breakdown of sensor_ reading_ unit. Excel, Power BI or Tableau. Why do the 28 light_
sensor rows have a mean sensor_ reading_ value of 1,285? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Events200EVT-0001cameraEVT-000222.8thermost…EVT-0003water_le…
A software demo
Believable events with device_
id, device_ type and device_ location_ floor to fill a screen in front of a buyer.
blueprint · iot-device-network-events
Behind this dataset
Same schema. As many rows as you need.
These 200 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.
- Each event has device ID, timestamp, event type
- Critical events must be acknowledged
- Devices grouped by network segment
- Event frequency tracked per device
- Offline events flagged for investigation
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
- iot-device-network-events