Smart Factory Emission Logs
This dataset contains timestamped emission logs from industrial IoT sensors across smart factory floors, tracking CO2, NOx, and particulate levels for sustainability and compliance. It enables granular analysis of emissions by location, sensor status, and regulatory thresholds, supporting ESG reporting and operational optimization.
Sample rows
preview · 8 of 120 rows · all 11 columns| log_idstring | unit_statusstring | co2_emission_ppmfloat | compliance_flagboolean | notesstring | sensor_idstring | sensor_locationstring | timestampdatetime | nox_emission_ppbfloat | particulate_emission_ugm3float | factory_idstring |
|---|---|---|---|---|---|---|---|---|---|---|
| LOG-0001-A | active | 389.7 | true | blank | SENSOR-X101 | Zone A1, Main Line - South | 2024-06-01T06:15:00 | 21.3 | 12.2 | FACT-201 |
| LOG-0002-B | active | 802.3 | false | Exceeded threshold during morning run | SENSOR-T567 | Zone C2, Paint Booth - West End | 2024-06-01T07:09:00 | 112.5 | 58.6 | FACT-312 |
| LOG-0003-C | active | 412 | true | blank | SENSOR-Y211 | Zone B3, Loading Dock - North | 2024-06-01T08:27:00 | 17.8 | 8.8 | FACT-999 |
| LOG-0004-D | active | 1221.4 | false | Event: Generator test | SENSOR-W110 | Zone D1, Generator Room | 2024-06-01T09:30:00 | 389.4 | 132.7 | FACT-192 |
| LOG-0005-E | active | 510 | false | Waste processing run | SENSOR-K987 | Zone E2, Waste Treatment - South | 2024-06-01T10:40:00 | 101.2 | 40.1 | FACT-221 |
| LOG-0006-F | active | 402.5 | true | blank | SENSOR-Z301 | Zone F1, Assembly Line - East | 2024-06-01T11:00:00 | 24.3 | 11.1 | FACT-201 |
| LOG-0007-G | active | 398.1 | true | Routine log | SENSOR-P220 | Zone G2, Storage - Central | 2024-06-01T11:45:00 | 29.7 | 17.2 | FACT-201 |
| LOG-0008-H | active | 410.7 | true | blank | SENSOR-Y211 | Zone B3, Loading Dock - North | 2024-06-01T12:15:00 | 31.5 | 19.6 | FACT-999 |
| LOG-0009-I | active | 432.5 | true | blank | SENSOR-V555 | Zone H2, Main Entrance | 2024-06-01T13:00:00 | 42.2 | 20 | FACT-312 |
| LOG-0010-J | active | 385.4 | true | blank | SENSOR-X101 | Zone A1, Main Line - South | 2024-06-01T14:10:00 | 15.7 | 10.2 | FACT-201 |
| LOG-0011-K | active | 1450.6 | false | Event: Paint run | SENSOR-Q333 | Zone J2, Paint Booth - East | 2024-06-01T14:45:00 | 499.9 | 250.1 | FACT-221 |
| LOG-0012-L | active | 398.7 | true | blank | SENSOR-T567 | Zone C2, Paint Booth - West End | 2024-06-01T15:10:00 | 30.2 | 12.8 | FACT-312 |
| LOG-0013-M | active | 829.8 | false | Exceeded threshold | SENSOR-U444 | Zone K1, Compressor Bay | 2024-06-01T15:55:00 | 110.1 | 78.1 | FACT-192 |
| LOG-0014-N | active | 412.6 | true | blank | SENSOR-W110 | Zone D1, Generator Room | 2024-06-01T16:30:00 | 18.6 | 11.7 | FACT-192 |
| LOG-0015-O | active | 392.2 | true | blank | SENSOR-Z301 | Zone F1, Assembly Line - East | 2024-06-01T17:00:00 | 27.4 | 14.5 | FACT-201 |
| LOG-0016-P | active | 800.7 | false | Waste processing peak | SENSOR-K987 | Zone E2, Waste Treatment - South | 2024-06-01T18:00:00 | 105.6 | 55.8 | FACT-221 |
| LOG-0017-Q | active | 410.3 | true | blank | SENSOR-P220 | Zone G2, Storage - Central | 2024-06-01T19:05:00 | 26.1 | 13.9 | FACT-201 |
| LOG-0018-R | active | 400 | true | blank | SENSOR-V555 | Zone H2, Main Entrance | 2024-06-01T20:00:00 | 18.9 | 10.7 | FACT-312 |
| LOG-0019-S | active | 409.9 | true | Routine log | SENSOR-Y211 | Zone B3, Loading Dock - North | 2024-06-01T21:10:00 | 19.8 | 11.8 | FACT-999 |
| LOG-0020-T | active | 9999.9 | false | Sensor spike detected | SENSOR-T567 | Zone C2, Paint Booth - West End | 2024-06-01T22:00:00 | 999.9 | 455.8 | FACT-312 |
What the 120 rows show
from the 120-row sample- 71%compliance_
flag = true - 405.4median co2_
emission_ ppm - 5factories
- 26sensors
- 31sensor locations
- 23.9median nox_
emission_ ppb
Median 405.4, from 0.0 to 10,000.
- string 6
- float 3
- datetime 1
- boolean 1
Columns
11 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 6 columns | |||
log_id | string | Unique identifier for each emission log entryunique | LOG-0001-A |
sensor_id | string | Unique identifier for the IoT sensor reporting the emission data | SENSOR-X101 |
sensor_location | string | Physical location or zone of the sensor within the factory floor | Zone D1, Generator Room |
unit_status | string | Operational status of the sensor unit at the time of measurementactive · inactive · maintenance · fault | active |
factory_id | string | Unique identifier for the factory where the sensor is deployed5 factories | FACT-201 |
notes | string | Additional remarks or observations related to the emission log entryoptional | Event: Generator test |
| Numbers 3 columns | |||
co2_emission_ppm | float | Measured CO2 emission in parts per million (ppm)0 or more | 389.7 |
nox_emission_ppb | float | Measured NOx emission in parts per billion (ppb)0 or more | 21.3 |
particulate_emission_ugm3 | float | Measured particulate emission in micrograms per cubic meter (µg/m³)0 or more | 12.2 |
| Dates and times 1 column | |||
timestamp | datetime | Date and time when the emission measurement was recorded | 2024-06-01T06:15:00 |
| True or false 1 column | |||
compliance_flag | boolean | Indicates whether the emission levels are within regulatory compliance limits | true |
Use it for
A manufacturing dashboard
The compliance_
flag rate, co2_ emission_ ppm by unit_ status and a breakdown of notes. Excel, Power BI or Tableau. Why do 71 of 100 rows have compliance_
flag = true? A class exercise
Hand out the rows and one question. Everyone works from the same 120 rows.
- Logs120LOG-0001-A389.7activeLOG-0002-B802.3activeLOG-0003-C412active
A software demo
Believable logs with sensor_
id, sensor_ location and timestamp to fill a screen in front of a buyer.
This dataset120 rows11 columns
Yours1,000 rows11 columnssensor_location: UK only
blueprint · smart-factory-emission-logs
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 11 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 sensor readings from a single machine at one timestamp.
- Emission readings include CO2, NOx, and particulate levels in standardized units.
- Rows flagged for anomalies if emissions exceed preset thresholds.
- Machinery scheduled maintenance is annotated and linked to emission drops.
- Data includes shift timing to correlate emissions with workforce activity.
- Compliance status auto-calculated against regulatory limits per equipment type.
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
- smart-factory-emission-logs