Manufacturing
18 columns
200 rows
8 formats

Industrial Water Usage Monitoring

This dataset provides continuous, timestamped logs of water usage across industrial sites, including flow rates, total consumption, leakage detection, and compliance with regulatory limits. It enables detailed sustainability analysis, operational monitoring, and regulatory reporting for industrial water management. The dataset supports site-level and sensor-level granularity, making it ideal for efficiency optimization and risk mitigation.

last updated 21 Aug 2025
by GoMask

The brief that made it

Sustainability and water efficiency analysis for industrial operations

Sample rows

preview · 8 of 200 rows · all 18 columns

log_idstring	sensor_typestring	flow_rate_lpmfloat	leakage_detectedboolean	site_statestring	site_idstring	site_namestring	site_street_addressstring	site_citystring	site_postal_codestring	site_countrystring	timestampdatetime	total_consumption_litersfloat	leakage_volume_litersfloat	sensor_idstring	compliance_flagboolean	regulatory_limit_litersfloat	notesstring
LOG-0001A	Vortex-Flow	349.8	false	TX	SITE-001	Green Valley Refinery	1200 Refinery Ave	Houston	77001	USA	2024-05-01T08:22:11Z	425000	0	SEN-TX01A	true	500000	Annual peak usage
LOG-0002B	Ultrasonic-3000	74.9	true	AB	SITE-002	Maple Processing Plant	88 Maple Road	Calgary	T2P1B8	Canada	2024-05-01T09:13:45Z	83500	1300	SEN-AB01B	true	100000	Minor leak detected during process
LOG-0003C	Electromagnetic-PRO	53.2	false	ENG	SITE-003	London Fabricators Ltd	12 Brixton Way	London	SW9 8DP	UK	2024-05-01T10:35:29Z	42500	0	SEN-ENG01C	true	60000	Regular reading
LOG-0004D	Magnetic-Plus	406.5	false	NT	SITE-004	Queensland Chemical Works	77 Bowen Street	Brisbane	4001	Australia	2024-05-01T12:12:41Z	620000	0	SEN-NT01D	false	600000	Extreme usage peak
LOG-0005E	Electromagnetic-PRO	112.5	false	Pomorskie	SITE-005	Warsaw Plastics Corp	5 Praga Blvd	Warsaw	03-456	Poland	2024-05-01T13:18:02Z	105000	0	SEN-PL01E	true	120000	blank
LOG-0006F	Analog-A2	12.6	false	GL	SITE-006	Greenland Power Station	3 Arctic Lane	Nuuk	3900	Greenland	2024-05-01T14:01:33Z	1800	0	SEN-GL01F	true	2000	Monthly minimum usage record
LOG-0007G	Vortex-Flow	278.2	true	DXB	SITE-007	Dubai Manufacturing Hub	21 Sheikh Road	Dubai	00000	UAE	2024-05-01T15:45:22Z	365000	32000	SEN-DXB01G	false	350000	Large leak suspected
LOG-0008H	Magnetic-Plus	44.8	false	OSL	SITE-008	Oslo Food Processing	19 Nordstrand Gate	Oslo	0150	Norway	2024-05-01T16:12:07Z	6000	0	SEN-OSL01H	true	8000	blank
LOG-0009J	Ultrasonic-3000	189.3	true	CAI	SITE-009	Cairo Textile Mills	45 Nile Street	Cairo	11511	Egypt	2024-05-01T17:29:02Z	215000	9500	SEN-CAI01J	true	250000	Critical leak
LOG-0010K	Analog-A2	97.2	false	GP	SITE-010	Johannesburg Steelworks	101 Steel Ave	Johannesburg	2001	South Africa	2024-05-01T18:32:56Z	40100	0	SEN-GP01K	true	50000	Sensor test
LOG-0011L	Analog-A1	11.8	false	AKL	SITE-011	Auckland Dairy Group	31 Empire Rd	Auckland	1010	New Zealand	2024-05-01T19:24:11Z	1600	0	SEN-AKL01L	true	2000	Scheduled shutdown
LOG-0012M	Electromagnetic-PRO	22.3	false	OR	SITE-012	Pacific Rubber Inc	90 Sunset Blvd	Portland	97209	USA	2024-05-02T08:12:17Z	3040	0	SEN-OR01M	true	3500	Boundary test
LOG-0013N	Magnetic-Plus	79.2	false	ENG	SITE-013	British Glassworks	1 Thames Way	Manchester	M1 2AE	UK	2024-05-02T09:45:22Z	110000	0	SEN-ENG02N	true	120000	Regular reading
LOG-0014P	Ultrasonic-3000	61.7	false	BC	SITE-014	Victoria Lumber Mill	21 Forest Lane	Victoria	V8W2H7	Canada	2024-05-02T10:15:41Z	54000	0	SEN-BC01P	true	60000	Regular reading
LOG-0015Q	Vortex-Flow	405.4	true	CO	SITE-015	Denver Mining Co	55 Rocky Road	Denver	80203	USA	2024-05-02T11:05:33Z	380000	28000	SEN-CO01Q	false	370000	Emergency response initiated
LOG-0016R	Ultrasonic-3000	59.8	true	AB	SITE-016	Edmonton Oilfield Ltd	102 Jasper Ave	Edmonton	T5J0N9	Canada	2024-05-02T12:50:09Z	51200	4000	SEN-AB02R	true	60000	Minor leak
LOG-0017S	Magnetic-Plus	510.2	true	ENG	SITE-017	British Steel Plant	88 Leeds Rd	Leeds	LS1 3AD	UK	2024-05-02T13:18:49Z	800000	45000	SEN-ENG03S	false	700000	Large leak suspected
LOG-0018T	Analog-A1	24.8	false	GP	SITE-018	Cape Town Foods	7 Beach Rd	Cape Town	8001	South Africa	2024-05-02T14:57:29Z	3200	0	SEN-GP02T	true	4000	Monthly minimum usage record
LOG-0019U	Vortex-Flow	145.4	false	BC	SITE-019	Vancouver Paper Co	5 Granville St	Vancouver	V5K0A1	Canada	2024-05-02T16:12:14Z	140000	0	SEN-BC02U	true	150000	blank
LOG-0020V	Magnetic-Plus	58.6	false	CA	SITE-020	San Francisco Chemicals	201 Market St	San Francisco	94105	USA	2024-05-02T17:37:01Z	52000	0	SEN-CA01V	true	60000	Regular reading

What the 200 rows show

from the 200-row sample

Vortex-Flow (sensor type) stands out: mean flow_rate_lpm is 346.7, against 93.6 for the rest.

32%leakage_detected = true
88.1median flow_rate_lpm
11site countries
46site cities
47noteses
82,700median total_consumption_liters

Mean flow_rate_lpm by sensor_type200 rows

flow_rate_lpm200 rows, in bands of 100

Median 88.1, from 0.0 to 510.2.

site_state200 rows · top 10 of 23 values

GP18
AB15
ENG15
TX14
OSL14
BC14
OR13
AKL12
CA12
Pomorskie11

18 columns by typefrom the column list below

string 11
float 4
datetime 1
boolean 2

Columns

18 columns in four groups

blueprint · 18 columns
column	type	description	example
Text 11 columns
`log_id`	string	Unique identifier for each water usage log entryunique	LOG-0001A
`site_id`	string	Unique identifier for the industrial site where the log was recorded	SITE-001
`site_name`	string	Name of the industrial site	Green Valley Refinery
`site_street_address`	string	Street address of the industrial site	1200 Refinery Ave
`site_city`	string	City where the industrial site is located	Houston
`site_state`	string	State or province where the industrial site is located	TX
`site_postal_code`	string	Postal code of the industrial site	77001
`site_country`	string	Country where the industrial site is located11 countries	USA
`sensor_id`	string	Unique identifier for the sensor device that recorded the log	SEN-TX01A
`sensor_type`	string	Type or model of the sensor used for measurement6 types · optional	Vortex-Flow
`notes`	string	Additional notes or comments about the log entry (e.g., maintenance, anomalies)optional	Annual peak usage
Numbers 4 columns
`flow_rate_lpm`	float	Measured water flow rate in liters per minute at the time of logging0 or more	349.8
`total_consumption_liters`	float	Total water consumed (in liters) during the logging period0 or more	425000
`leakage_volume_liters`	float	Estimated volume of water lost due to leakage (in liters); zero if no leakage detected0 or more · optional	0
`regulatory_limit_liters`	float	Regulatory water usage limit (in liters) applicable to the site for the logging period0 or more · optional	500000
Dates and times 1 column
`timestamp`	datetime	Date and time when the water usage log was recorded	2024-05-01T08:22:11Z
True or false 2 columns
`leakage_detected`	boolean	Indicates whether a leakage was detected during the logging period	false
`compliance_flag`	boolean	Indicates whether the water usage complies with regulatory limits	true

Use it for

A manufacturing dashboard
The leakage_detected rate, flow_rate_lpm by sensor_type and a breakdown of site_state. Excel, Power BI or Tableau.
Why do the 43 Vortex-Flow rows have a mean flow_rate_lpm of 346.7?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs200
LOG-0001A349.8Vortex-F…
LOG-0002B74.9Ultrason…
LOG-0007G278.2Vortex-F…
A software demo
Believable logs with site_id, site_name and site_street_address to fill a screen in front of a buyer.

This dataset200 rows18 columns

Yours1,000 rows18 columnssite_id: UK only

blueprint · industrial-water-usage-monitoring

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 18 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

Site ID and industry type included
Water flow and usage logged hourly
Leakage detection event flags present
Usage compared to regulatory limits
Maintenance event status tracked

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: industrial-water-usage-monitoring

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

A manufacturing dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Manufacturing

What should your data show?