Industries
Manufacturing: Automotive, Plastics & Rubber
Monitor compressed air, electrical demand and equipment condition—including the older assets your existing systems may not cover.
Tier 1 and Tier 2 manufacturers often have detailed production data but limited visibility into the utilities supporting it. Compressed air may be unmetered, demand charges may sit inside overhead, and critical legacy presses may not have a modern PLC. We add read-only monitoring, connect existing data sources and leave the control layer unchanged. The same measured data can support ISO 50001 energy-management programs and customer reporting.
Compressed air is often the first place to look for avoidable cost. It is expensive to generate, frequently lacks end-use metering and can leak unnoticed in a noisy production environment. A planned shutdown test using permanent flow monitoring can quantify leakage by cell, rank repair priorities and establish a baseline for verification.
Electrical demand is another common opportunity. Depending on the utility tariff, a short interval can establish a significant portion of the monthly demand charge—for example, when a dryer regeneration cycle and compressor load coincide. Interval monitoring identifies the peak, the contributing equipment and whether rescheduling can reduce it without new capital equipment.
Critical equipment often shows measurable changes before failure, including shifts in vibration, temperature or motor current. Legacy assets are well suited to independent monitoring: mount a vibration sensor on the housing, clamp a current transformer on the motor feed or read an existing 4–20 mA signal. The system is read-only, integrates without replacing the controls and can usually be installed without stopping production.
Manufacturing: Automotive, Plastics & Rubber
Photo slot · industry-manufacturing — pending the photography cull (§K.3 #27).
What we typically measure in this sector.
Nine monitoring categories appear repeatedly across our projects. The items below are the ones most relevant to this sector, with links to examples of what each has revealed.
- 02
Electricity
Demand charges can represent 30–40% of an industrial electricity bill.
Interval data shows when peaks occur and whether load shifting, peak shaving, or rescheduling offers the best return.
- 04
Compressed Air
Leaks silently consume 20–30% of compressor output.
Continuous flow and pressure monitoring shows the leak load, helping your team prioritize repairs and verify the savings.
- 06
Vibration
A deteriorating bearing can change its vibration signature weeks before failure.
The change may be imperceptible on the floor but clear in the trend data.
- 07
Predictive Maintenance
At many factories, an hour of unplanned downtime can cost thousands, or tens of thousands, of dollars.
Early warning lets your team schedule the same repair during planned downtime instead of responding during a production failure.
- 09
Process Monitoring
Operator experience identifies the question. Process data gives the team evidence to act on.
Track cycle counts, runtime, firing rate, and product temperature—the operating details a utility bill cannot show.
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 factory is not.
| Interval | Vibration RMS (mm/s) |
|---|---|
| 01 JUN | 2.01 |
| 02 JUN | 2.02 |
| 03 JUN | 2.00 |
| 04 JUN | 2.05 |
| 05 JUN | 2.08 |
| 06 JUN | 2.04 |
| 07 JUN | 2.05 |
| 08 JUN | 2.03 |
| 09 JUN | 2.08 |
| 10 JUN | 2.04 |
| 11 JUN | 2.12 |
| 12 JUN | 2.08 |
| 13 JUN | 2.07 |
| 14 JUN | 2.07 |
| 15 JUN | 2.07 |
| 16 JUN | 2.04 |
| 17 JUN | 2.09 |
| 18 JUN | 2.07 |
| 19 JUN | 2.07 |
| 20 JUN | 2.05 |
| 21 JUN | 2.06 |
| 22 JUN | 2.01 |
| 23 JUN | 2.03 |
| 24 JUN | 1.97 |
| 25 JUN | 2.03 |
| 26 JUN | 1.96 |
| 27 JUN | 1.97 |
| 28 JUN | 1.98 |
| 29 JUN | 1.95 |
| 30 JUN | 1.98 |
| 01 JUL | 1.96 |
| 02 JUL | 1.94 |
| 03 JUL | 1.93 |
| 04 JUL | 1.97 |
| 05 JUL | 1.96 |
| 06 JUL | 1.97 |
| 07 JUL | 1.98 |
| 08 JUL | 2.00 |
| 09 JUL | 1.96 |
| 10 JUL | 1.98 |
| 11 JUL | 2.00 |
| 12 JUL | 1.97 |
| 13 JUL | 2.03 |
| 14 JUL | 2.00 |
| 15 JUL | 2.01 |
| 16 JUL | 2.05 |
| 17 JUL | 2.10 |
| 18 JUL | 2.19 |
| 19 JUL | 2.33 |
| 20 JUL | 2.40 |
| 21 JUL | 2.51 |
| 22 JUL | 2.74 |
| 23 JUL | 2.90 |
| 24 JUL | 3.06 |
| 25 JUL | 3.34 |
| 26 JUL | 3.56 |
| 27 JUL | 3.85 |
| 28 JUL | 4.10 |
| 29 JUL | 4.46 |
| 30 JUL | 4.73 |
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 factories like yours.
Illustrative scenario
water
Chiller circuit leak isolated without a shutdown
An automotive factory
Continuous monitoring helped identify and isolate a leaking cooling loop while the production line remained in operation.
Illustrative scenario
compressed-air
Compressed air leaks in a stamping operation
A Tier 2 automotive stamping factory
Permanent monitoring revealed compressed air continuing to flow into an otherwise idle building overnight.
Illustrative scenario
predictive-maintenance
Conveyor-drive bearing degradation detected six weeks before failure
A bulk handling facility
The bearing’s vibration signature began changing approximately six weeks before the projected failure point.
Illustrative scenario
cooling-towers · water
Cooling tower blowdown optimization
A plastics manufacturing factory
Blowdown was controlled by a fixed timer rather than conductivity, causing usable water to be discharged unnecessarily.
Book a site walk.
We spend a few hours on your floor with the people who run it, and by the end of that walk we can tell you what we saw, what we would meter first, and roughly what it is worth.
or call 1-833-QUANTFY (1-833-782-6839)
