Most plants already generate the data they need. It is sitting inside PLCs, drives, energy meters and flow instruments, being overwritten every scan because nothing is collecting it. ATMAN builds the layer that gets that data out β production, energy, downtime and quality on a dashboard your management can read, and alerts that reach the right person while it still matters.
The Question That Starts Most of These Projects
Somebody in a review meeting asks how many hours the plant actually ran last month, or what a batch costs in power, or why Tuesday was bad. The answer comes back as a spreadsheet compiled by hand from logbooks, three days late, and nobody fully trusts it.
The information exists. The PLC knew the answer in real time and then discarded it.
What We Build
| Layer | What it does |
|---|---|
| Data acquisition | Reads from Siemens PLCs, drives, energy meters, flow and temperature instruments β over PROFINET, Modbus, OPC UA or direct instrument protocols |
| Edge gateway | Collects locally, buffers through connectivity gaps, forwards when the link returns. The plant keeps logging whether or not the network is up |
| Historian / database | Time-series storage sized for the retention you actually need, on your server or hosted |
| Dashboards | Role-specific views β a shift screen on the floor, a plant view for the manager, a portfolio view for the board |
| Alerting | SMS, WhatsApp or email on threshold, excursion or stoppage, with escalation when nobody acknowledges |
| Reporting | Scheduled production, energy and downtime reports; export to MIS or ERP |
The stack is chosen to fit the plant, not the other way round. A single line with one PLC does not need the architecture a multi-site cooperative needs.
What Plants Actually Ask to See
- Production β output by shift, line and product, against target, live rather than reconciled next week
- Downtime with reasons β not just that the line stopped, but what stopped it and for how long, ranked so the top three causes are obvious
- Energy per unit β power, steam, compressed air and refrigeration against output. This is where the cost hides, and where the savings usually are
- Quality and process parameters β temperatures, pressures, fat and SNF, pH, held against limits with excursions flagged
- Utilisation β how much of the day the plant genuinely ran, which is almost always lower than assumed
- Batch and traceability records β parameters per batch, retrievable in minutes when a complaint arrives
- Equipment health β motor run hours, drive trips, filter and compressor condition, so maintenance is planned rather than reactive
Distributed Sites β Where This Pays Most
The value multiplies when assets are spread out and nobody can see them. A cooperative running chilling centres across villages has no live view of any of them; quality is lost between collection and the dock and nobody knows where until the milk arrives sour.
- Every site on one screen, sortable, so the worst performers surface without anyone hunting
- Telemetry chosen per site by actual coverage β 4G or LoRa β not by catalogue preference
- Store-and-forward at every gateway. Rural links drop; that is the normal operating condition, not an exception to handle later. Buffered data backfills so the history has no holes
- Local autonomy β each site keeps controlling and logging whether or not the central server is reachable
- Exception alerts to the route supervisor at the moment of breach, not in a report read next week
For dairy specifically, see BMC and milk chilling monitoring.
Getting Data Out of an Old Controller
A frequent blocker: the PLC is too old to talk to anything modern. There are three honest answers, and which one applies depends on the hardware.
- Add a communication path to the existing controller where one is available β often the cheapest route and worth checking before assuming it is impossible
- Read the signals independently β separate energy meters and instruments with their own outputs, bypassing the PLC entirely for the measurements that matter most
- Migrate the controller β if it is obsolete anyway, data capability comes free with a change you will have to make regardless. See Siemens PLC migration
We will tell you which of the three applies after looking, rather than selling a migration to solve a reporting problem.
Security
Connecting a plant to a network is a real risk and deserves a straight answer rather than reassurance.
- Read-only by default. A monitoring system has no business writing to control logic
- Separation between control and IT networks, not a flat network with a dashboard bolted on
- Outbound-only connections where possible β nothing listening for inbound traffic from the internet
- Access control and session logging β who saw what, and when
- Data ownership stays yours, hosted where you choose
How We Start
- Decide the questions first. Which three numbers would change a decision if you had them daily? Everything else follows from that, and skipping it is how dashboards end up unread
- Survey what already exists β controllers, instruments, meters, network. Usually more is available than expected
- Pilot on one line or one site. Prove the data is trusted before scaling
- Validate against reality β reconcile the first weeks against manual records, because a dashboard nobody believes is worse than no dashboard
- Scale on proven results, line by line or site by site
Common Questions
Do we need new instruments?
Usually far fewer than expected. Most plants are already measuring what matters β it just is not being collected. We survey first and add instruments only where a genuine measurement gap blocks a number you need.
Can this work with our existing SCADA?
Yes. Where a SCADA already exists we normally read from it rather than duplicate it. SCADA is for operating the plant; this layer is for analysing it. They are different jobs and should not be forced into one.
Where is the data stored?
Your choice β on a server in your plant, or hosted. Some cooperatives require it on their own infrastructure; some prefer not to run a server. Both work, and the data remains yours either way.
What happens when the internet goes down?
The edge gateway keeps logging locally and backfills when the link returns. Control is never dependent on connectivity β the plant runs whether or not the dashboard can be reached.
Can alerts go to WhatsApp?
Yes. Alerts can be delivered by SMS, WhatsApp or email with different rules and recipients per area and severity, plus escalation when nobody acknowledges.
How long before we see anything useful?
A pilot on one line typically produces trustworthy data within weeks. The first genuinely useful output is normally the downtime breakdown, because it is usually the biggest surprise.
Is this Industry 4.0?
That is the label. In practice it is: measure what the plant does, store it, show it to the people who can act on it, and alert when something goes wrong. The value comes from the decisions it changes, not the terminology.
Related
Related: Industrial Automation · SCADA System Integration · Siemens PLC Migration · Automation Support & AMC · Dairy Plant Automation
Discuss Plant Monitoring & Dashboards
Tell us what you would want on the screen and what you run today β controllers, meters, number of lines or sites. Our engineers will come back with a data architecture, a pilot scope and an indicative budget.