Factory Sensor Equipment Readings
This dataset provides granular, time-stamped sensor readings from factory equipment, including operational status, alert flags, and maintenance indicators. It enables predictive maintenance, anomaly detection, and real-time optimization for Industry 4.0 manufacturing environments by linking sensor data to specific machines and factory locations.
Sample rows
preview · 8 of 200 rows · all 20 columns| reading_idstring | sensor_typestring | threshold_maxfloat | maintenance_flagboolean | factory_citystring | equipment_idstring | equipment_typestring | sensor_idstring | reading_valuefloat | reading_unitstring | reading_timestampdatetime | factory_idstring | factory_namestring | factory_street_addressstring | factory_statestring | factory_postal_codestring | factory_countrystring | operational_statusstring | alert_flagboolean | threshold_minfloat |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| R00001 | temperature | 80 | false | Dayton | EQ01 | CNC machine | S01 | 55.6 | Celsius | 2024-03-28T10:24:16Z | F001 | Summit Precision Works | 123 Industrial Ave | OH | 45402 | USA | running | false | 35 |
| R00002 | vibration | 4 | false | Dayton | EQ02 | conveyor belt | S02 | 2.4 | mm/s | 2024-03-28T10:26:15Z | F001 | Summit Precision Works | 123 Industrial Ave | OH | 45402 | USA | running | false | 0.2 |
| R00003 | pressure | 15 | false | Tulsa | EQ03 | pump | S03 | 14.3 | bar | 2024-03-28T10:29:23Z | F002 | Apex Fluid Solutions | 200 Pump Rd | OK | 74104 | USA | running | false | 8 |
| R00004 | current | 50 | false | Las Vegas | EQ04 | robotic arm | S04 | 27.6 | Amp | 2024-03-28T10:32:50Z | F003 | Robo Assembly West | 41 Assembly Pkwy | NV | 89109 | USA | running | false | 15 |
| R00005 | temperature | 1050 | true | San Jose | EQ05 | furnace | S05 | 890.2 | Celsius | 2024-03-28T10:34:35Z | F004 | ThermoMetals Foundry | 77 Heat St | CA | 95134 | USA | maintenance | false | 650 |
| R00006 | pressure | 8 | false | San Jose | EQ06 | air compressor | S06 | 6.7 | bar | 2024-03-28T10:36:01Z | F004 | ThermoMetals Foundry | 77 Heat St | CA | 95134 | USA | running | false | 2 |
| R00007 | vibration | 4.8 | false | Toronto | EQ07 | sorting machine | S07 | 5.3 | mm/s | 2024-03-28T10:37:15Z | F005 | Precision Sorters Canada | 88 Sorting Ave | ON | M5A2B3 | Canada | running | true | 0.2 |
| R00008 | pressure | 15 | false | Berlin | EQ08 | hydraulic press | S08 | 15.7 | bar | 2024-03-28T10:39:33Z | F006 | Global Press Systems | 300 Hydraulic Blvd | BE | 10115 | Germany | running | true | 3 |
| R00009 | humidity | 85 | false | Toronto | EQ09 | packaging line | S09 | 92.3 | % | 2024-03-28T10:41:27Z | F005 | Precision Sorters Canada | 88 Sorting Ave | ON | M5A2B3 | Canada | running | true | 0.1 |
| R00010 | voltage | 400 | false | Las Vegas | EQ10 | robotic arm | S10 | 425.7 | V | 2024-03-28T10:43:03Z | F003 | Robo Assembly West | 41 Assembly Pkwy | NV | 89109 | USA | error | true | 24 |
| R00011 | temperature | 80 | false | Dayton | EQ01 | CNC machine | S11 | 32.8 | Celsius | 2024-03-28T10:45:00Z | F001 | Summit Precision Works | 123 Industrial Ave | OH | 45402 | USA | stopped | false | 15 |
| R00012 | vibration | 4 | false | Dayton | EQ02 | conveyor belt | S12 | 0 | mm/s | 2024-03-28T10:47:12Z | F001 | Summit Precision Works | 123 Industrial Ave | OH | 45402 | USA | stopped | true | 0.2 |
| R00013 | other | blank | false | Singapore | EQ11 | 3D printer | S13 | 98234 | ticks | 2024-03-28T10:48:21Z | F007 | Additive Makers Asia | 12 Print Lane | SG | 238985 | Singapore | running | false | blank |
| R00014 | vibration | 4.8 | true | Reykjavik | EQ12 | sorting machine | S14 | 2.8 | mm/s | 2024-03-28T10:50:02Z | F008 | NordSort Solutions | 400 Sort St | Hofudhborgarsvaedhi | 101 | Iceland | maintenance | false | 0.2 |
| R00015 | pressure | 15 | false | Berlin | EQ13 | hydraulic press | S15 | 0.1 | bar | 2024-03-28T10:52:23Z | F006 | Global Press Systems | 300 Hydraulic Blvd | BE | 10115 | Germany | error | true | 3 |
| R00016 | humidity | 90 | false | Mumbai | EQ14 | packaging line | S16 | 84.5 | % | 2024-03-28T10:54:17Z | F009 | PackFresh India | 89 Packaging Rd | MH | 400001 | India | running | false | 0.1 |
| R00017 | voltage | 400 | false | Reno | EQ15 | CNC machine | S17 | 143.2 | V | 2024-03-28T10:56:08Z | F010 | Precision Machining NV | 223 CNC Dr | NV | 89501 | USA | running | false | 24 |
| R00018 | temperature | 1050 | false | San Jose | EQ05 | furnace | S18 | 1200.9 | Celsius | 2024-03-28T10:58:49Z | F004 | ThermoMetals Foundry | 77 Heat St | CA | 95134 | USA | error | true | 650 |
| R00019 | pressure | 15 | true | Berlin | EQ08 | hydraulic press | S19 | 11.2 | bar | 2024-03-28T11:01:05Z | F006 | Global Press Systems | 300 Hydraulic Blvd | BE | 10115 | Germany | maintenance | false | 3 |
| R00020 | pressure | 8 | false | San Jose | EQ06 | air compressor | S20 | 2.1 | bar | 2024-03-28T11:03:19Z | F004 | ThermoMetals Foundry | 77 Heat St | CA | 95134 | USA | stopped | false | 2 |
What the 200 rows show
from the 200-row sampleTemperature (sensor type) stands out: mean threshold_
- 18%maintenance_
flag = true - 40.0median threshold_
max - 5operational statuses
- 7reading units
- 7factory countries
- 10equipment types
Median 40.0, from 4.0 to 1,100.
- string 14
- float 3
- datetime 1
- boolean 2
Columns
20 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 14 columns | |||
reading_id | string | Unique identifier for each sensor reading recordunique | R00001 |
equipment_id | string | Unique identifier for the equipment/machine where the sensor is installed | EQ01 |
equipment_type | string | Type or category of the equipment (e.g., CNC machine, conveyor belt, pump)10 types | CNC machine |
sensor_id | string | Unique identifier for the sensor device | S01 |
sensor_type | string | Type of sensor (e.g., temperature, vibration, pressure, humidity)7 values | temperature |
reading_unit | string | Unit of measurement for the sensor reading (e.g., Celsius, mm/s, bar)7 units | Celsius |
factory_id | string | Unique identifier for the factory or plant location | F001 |
factory_name | string | Name of the factory or plantoptional | Summit Precision Works |
factory_street_address | string | Street address of the factoryoptional | 123 Industrial Ave |
factory_city | string | City where the factory is locatedoptional | Dayton |
factory_state | string | State or province where the factory is locatedoptional | OH |
factory_postal_code | string | Postal code for the factory locationoptional | 45402 |
factory_country | string | Country where the factory is located7 countries · optional | USA |
operational_status | string | Operational status of the equipment at the time of reading (e.g., running, stopped, maintenance, error)running · stopped · maintenance · error · idle · optional | running |
| Numbers 3 columns | |||
reading_value | float | Measured value from the sensor | 55.6 |
threshold_min | float | Minimum threshold value for the sensor reading (if applicable)optional | 35 |
threshold_max | float | Maximum threshold value for the sensor reading (if applicable)optional | 80 |
| Dates and times 1 column | |||
reading_timestamp | datetime | Date and time when the sensor reading was recorded | 2024-03-28T10:24:16Z |
| True or false 2 columns | |||
maintenance_flag | boolean | Indicates if the reading was taken during a maintenance eventoptional | false |
alert_flag | boolean | Indicates if the reading triggered an alert or exceeded a thresholdoptional | false |
Use it for
A manufacturing dashboard
The maintenance_
flag rate, threshold_ max by sensor_ type and a breakdown of factory_ city. Excel, Power BI or Tableau. Why do the 37 temperature rows have a mean threshold_
max of 700.3? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Readings200R0000180temperat…R000051050temperat…R000144.8vibration
A software demo
Believable readings with equipment_
id, equipment_ type and sensor_ id to fill a screen in front of a buyer.
blueprint · factory-sensor-equipment-readings
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 20 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.
- Track equipment ID and reading type
- Record timestamped sensor values
- Flag abnormal readings
- Exclude offline equipment
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
- factory-sensor-equipment-readings