Agri Cold Storage IoT Metrics

This dataset provides detailed, timestamped IoT sensor logs from agricultural cold storage facilities, capturing temperature, humidity, equipment performance, and operational alerts. It enables supply chain managers to monitor storage conditions for perishable goods, optimize energy usage, and ensure compliance with food safety and sustainability standards. The data supports analytics for reducing spoilage, improving operational efficiency, and maintaining product quality.

  • opened 6 times
  • last updated 5 Jan 2026
  • by GoMask
The brief that made it

Real-time monitoring and alerting for cold storage operations

Sample rows

preview · 8 of 120 rows · all 20 columns
log_idstringequipment_statusstringpower_consumption_kwfloatalert_flagbooleanequipment_typestringfacility_idstringfacility_namestringsection_idstringsensor_idstringsensor_typestringtimestampdatetimetemperature_celsiusfloathumidity_percentfloatequipment_idstringdoor_statusstringalert_typestringgoods_typestringgoods_batch_idstringoperator_idstringnotesstring
LOG00001on1.3falsecompressorFAC001Green Valley StorageA-01SEN1001temperature2024-06-01T08:10:00Z-17.365.2COMP-A-01blankblankmeatmeat20240601AOP001Routine morning check, all metrics normal.
LOG00002blankblanktrueblankFAC001Green Valley StorageB-02SEN1002humidity2024-06-01T08:15:00Z3.992.5blankblankhumidity_highfruitsfruits20240601BOP002Humidity spike detected, investigating cause.
LOG00003blankblanktrueblankFAC002Northern Farms Cold HubC-03SEN2001door2024-06-01T08:16:00Zblankblankblankopendoor_openvegetablesveg20240601COP003Section door open for loading, alert triggered.
LOG00004maintenance0truecompressorFAC002Northern Farms Cold HubD-04SEN2002compressor2024-06-01T08:18:00ZblankblankCOMP-D-04blankequipment_faultice-creamice20240601DblankScheduled compressor maintenance ongoing.
LOG00005blankblanktrueblankFAC003Blue Ridge Produce VaultE-05SEN3001humidity2024-06-01T08:20:00Z7.218blankblankhumidity_lowcheesecheese20240601EOP004Low humidity detected; adjusting ventilation.
LOG00006off0falsefanFAC003Blue Ridge Produce VaultF-06SEN3002fan2024-06-01T08:23:00ZblankblankFAN-F-06blankblankflowersflowers20240601FOP005Fan switched off post air circulation.
LOG00007blankblanktrueblankFAC003Blue Ridge Produce VaultG-07SEN3003temperature2024-06-01T08:25:00Z21.7blankblankblanktemperature_highdairydairy20240601GOP006Temperature above threshold, cooling system started.
LOG00008unknownblanktruedoorFAC004Sunrise Agro StorageH-08SEN4001door2024-06-01T08:28:00ZblankblankDOOR-H-08unknowndoor_openseafoodseafood20240601HOP007Door sensor malfunction, status unknown.

What the 120 rows show

from the 120-row sample

On (equipment status) stands out: mean power_consumption_kw is 1.1, against 0.0 for the rest.

  • 38%alert_flag = true
  • 0.22median power_consumption_kw
  • 3door statuses
  • 6sensor types
  • 7alert types
  • 11facilities
Mean power_consumption_kw by equipment_status46 rows
0121.1on25 rows0.0off9 rows0.0fault3 rows0.0mainte…8 rows0.0unknown1 rows
power_consumption_kw46 rows, in bands of 0.25
01530231337521101.252.25power_consumption_kw →

Median 0.22, from 0.0 to 2.0.

equipment_type57 rows with a value · 63 left blank
  1. compressor23
  2. door12
  3. fan11
  4. other11
20 columns by typefrom the column list below
  • string 15
  • float 3
  • datetime 1
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 15 columns
log_idstringUnique identifier for each IoT sensor log entryuniqueLOG00001
facility_idstringUnique identifier for the cold storage facility11 facilitiesFAC001
facility_namestringName of the cold storage facilityoptionalGreen Valley Storage
section_idstringIdentifier for a specific section or zone within the facility (e.g., room, aisle, rack)optionalA-01
sensor_idstringUnique identifier for the IoT sensor deviceSEN1001
sensor_typestringType of sensor (e.g., temperature, humidity, door, compressor)temperature · humidity · door · compressor · othertemperature
equipment_idstringUnique identifier for the equipment being monitored (e.g., compressor, fan)optionalCOMP-A-01
equipment_typestringType of equipment (e.g., compressor, fan, door, other)compressor · fan · door · other · optionalcompressor
equipment_statusstringOperational status of the equipment (e.g., on, off, fault, maintenance)on · off · fault · maintenance · unknown · optionalon
door_statusstringIndicates if a monitored door is open or closedopen · closed · unknown · optionalopen
alert_typestringType of alert triggered (e.g., temperature_high, humidity_low, equipment_fault)7 values · optionalhumidity_high
goods_typestringType of perishable goods stored in the monitored area (e.g., fruits, vegetables, dairy, meat)optionalmeat
goods_batch_idstringIdentifier for the batch of goods stored in the area at the time of loggingoptionalmeat20240601A
operator_idstringIdentifier for the operator on duty at the time of the log (if available)optionalOP001
notesstringFree-text field for operator or system notes related to the log entryoptionalRoutine section check.
Numbers 3 columns
temperature_celsiusfloatTemperature reading in degrees Celsius-50 to 50 · optional-17.3
humidity_percentfloatRelative humidity reading as a percentage (0-100%)0 to 100 · optional65.2
power_consumption_kwfloatPower consumption of the equipment in kilowatts at the time of reading0 or more · optional1.3
Dates and times 1 column
timestampdatetimeDate and time when the sensor reading was recorded (ISO 8601 format)2024-06-01T08:10:00Z
True or false 1 column
alert_flagbooleanIndicates if this log entry triggered an operational alert (e.g., temperature out of range, equipment fault)false

Use it for

  • alert flag38%45 of 120 rowsmean power consumptio…1.1on0.0off0.0fault0.0main…

    An agriculture dashboard

    The alert_flag rate, power_consumption_kw by equipment_status and a breakdown of equipment_type. Excel, Power BI or Tableau.

  • Why do the 25 on rows have a mean power_consumption_kw of 1.1?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable logs with facility_id, facility_name and section_id to fill a screen in front of a buyer.

Not quite right?

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blueprint · agri-cold-storage-iot-metrics

Behind this dataset

Same schema. As many rows as you need.

These 120 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.

Rules it was built with
  • Each record must include a timestamp, facility ID, and sensor type.
  • Temperature and humidity values must be within valid physical ranges.
  • Alert records are flagged when thresholds are exceeded for 15+ minutes.
  • Equipment status logs must indicate maintenance or failure events.
  • Facilities must have at least one daily summary row aggregating sensor data.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
agri-cold-storage-iot-metrics

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