Industries
Controlled Environment Agriculture
Water, climate and energy monitoring for greenhouses and indoor growing operations, where the environment is the product.
In a controlled environment, the utilities are not overhead — they are the growing recipe. Irrigation volume, lighting load, heating and dehumidification all move together, and a monthly total hides every one of the interactions between them. Continuous metering makes the recipe measurable, and makes a fault at 2 a.m. something you find out about at 2 a.m.
Climate is the first thing we meter, because it is the thing with the shortest fuse. A zone that spends three hours under setpoint on a January night has cost a week of growth, and the loss is already banked by the time anyone walks the range in the morning. Temperature and humidity sensors on the zone, an alert threshold either side of the setpoint, and a text message — that is the whole intervention, and it is usually the reason the system gets bought.
Irrigation is the second. Recipes are set per zone and then trusted, and a solenoid that does not quite close will follow the recipe on paper while delivering something else entirely. Flow metering per zone gives you litres delivered against litres intended, every day, per zone — which is a water number, a fertigation number and an early warning about a valve, all from one meter.
Energy sits underneath both. Lighting and dehumidification are the two largest loads in most operations and they are strongly scheduled, which makes them the easiest place in any facility to see a demand peak and move it. Gas for heating behaves the same way: baseload creep in a boiler is invisible on a monthly bill and obvious on a sixty-second trace.
Photo slot · industry-agriculture — pending the photography cull (§K.3 #27).
What we typically meter here.
Four to six of the nine, chosen for this sector. Each one links to what it found in a real plant.
- 01
Water
A 10 LPM leak costs >$15,000 a year.
Submeter every major consumer. We find the leak in week one; the monthly review makes sure it gets fixed.
- 02
Electricity
Demand charges are often 30–40% of the bill.
See the peaks before the utility bills them. Shift, shave or schedule — the dashboard shows which pays.
- 03
Natural Gas
Unnoticed waste quietly inflates heating bills 10–20%.
Baseload creep is invisible on a monthly bill. It is obvious on a 60-second trace.
- 08
Temperature & Humidity
The 6 a.m. round takes 31 minutes — or 0 from your desk.
Health, safety and humidex monitoring that’s watched continuously, not checked quarterly.
- 09
Process Monitoring
A hunch is not something you can act on. Data is.
Cycle counts, runtime, firing rate, product temperature — the process numbers your utility bill will never show you.
The money facts are §D.7’s and carry [TOM-REVIEW] before launch — §K.2 #15.
What the data looks like.
Representative operational data, not a client result — the shapes are real, the plant is not.
| Interval | Zone 3 air (°C) |
|---|---|
| 00:00 | 21.5 |
| 00:30 | 21.3 |
| 01:00 | 21.4 |
| 01:30 | 21.3 |
| 02:00 | 21.3 |
| 02:30 | 21.3 |
| 03:00 | 21.3 |
| 03:30 | 18.8 |
| 04:00 | 16.8 |
| 04:30 | 16.1 |
| 05:00 | 16.8 |
| 05:30 | 18.7 |
| 06:00 | 21.4 |
| 06:30 | 21.6 |
| 07:00 | 21.6 |
| 07:30 | 21.8 |
| 08:00 | 22.3 |
| 08:30 | 22.9 |
| 09:00 | 23.3 |
| 09:30 | 23.8 |
| 10:00 | 24.2 |
| 10:30 | 24.7 |
| 11:00 | 25.0 |
| 11:30 | 25.2 |
| 12:00 | 25.1 |
| 12:30 | 25.1 |
| 13:00 | 25.2 |
| 13:30 | 25.1 |
| 14:00 | 25.0 |
| 14:30 | 25.2 |
| 15:00 | 25.0 |
| 15:30 | 25.2 |
| 16:00 | 25.1 |
| 16:30 | 25.0 |
| 17:00 | 25.2 |
| 17:30 | 24.6 |
| 18:00 | 24.3 |
| 18:30 | 23.7 |
| 19:00 | 23.4 |
| 19:30 | 23.0 |
| 20:00 | 22.5 |
| 20:30 | 22.1 |
| 21:00 | 21.6 |
| 21:30 | 21.4 |
| 22:00 | 21.4 |
| 22:30 | 21.5 |
| 23:00 | 21.6 |
| 23:30 | 21.5 |
Representative sets are flagged provenance: representative in src/data/widgets/ and are hot-swappable for the real sets (G6) with no markup change — §K.3 #28.
What it found in plants like yours.
Illustrative scenario
temperature-humidity
A cold-storage alert at two in the morning
A cold storage operation
A refrigeration fault caught overnight, before the product was.
Illustrative scenario
cooling-towers · energy
Refrigeration condenser fouling detection
A food storage and processing site
Rising head pressure at constant load — a fouled condenser, priced.
Illustrative scenario
silo-level
Silo level early warning at the reorder threshold
An ingredient handling operation
Non-contact radar level, continuous, with a low-level alert before the reorder deadline.
All 3 case studies in this sector
G4 — every industry slug must resolve to at least two case studies; the build gate asserts it (J.9.4). R2 — a study marked Illustrative scenario is representative of common industrial IoT applications: no client is named, no logo is shown and no figure on it was measured at any site.
Book a site walk.
Half a day on your floor, no charge and no obligation. At the end of it we tell you what we saw, what we would meter first, and what the return looks like.
or call 1-833-QUANTFY (1-833-782-6839)