Solutions
Industrial data acquisition with simple control for operations teams
Collect operational data cleanly from machines, utilities, tanks, and process points—and add lightweight control or response logic where your workflow actually needs it, without building a full automation stack from scratch.
Photo by Karan Suthar on Unsplash
The problem
Operations teams often lack reliable visibility into what is happening on site. Tank levels are checked manually. Pump runtime is guessed. Temperature history lives in clipboards or spreadsheets. When something goes wrong, the first call is a site visit—not a dashboard.
Existing PLCs and SCADA systems may cover part of the plant, but gaps remain: remote stations, auxiliary equipment, legacy interfaces, or new measurement points that were never wired in. Filling those gaps with a full automation project is often overkill.
Industrial data acquisition solves the visibility problem first. You get structured, timestamped data, retained history, and remote alerts. Simple control—turning a pump on at a threshold, triggering a notification, or logging an event—can be added only where it delivers clear value.
How we solve it
We design data acquisition around your signals and devices: analog inputs, Modbus registers, pulse counters, serial interfaces, or wireless sensors. Edge hardware preprocesses and buffers data so you do not lose readings when connectivity drops.
Cloud-side dashboards give operators and managers a single view of levels, runtime, consumption, and environmental conditions. Exportable history supports audits, compliance, and internal review.
Where simple control is appropriate—starting a pump when a tank drops, sending an alarm when temperature exceeds a limit, or logging batch events—we implement deterministic local logic with cloud oversight. You stay in control of what the system is allowed to do.
- Utility and consumption data collection across shifts and idle periods
- Tank level, pump runtime, flow, pressure, and environmental logging
- Remote alerts for abnormal values, missing activity, or threshold breaches
- Optional on/off or threshold-based actions without a heavy automation project
How we deliver it
Every engagement follows a clear path from first conversation to ongoing support—so you know what happens at each stage.
- 01
Consulting & scoping
We map your assets, failure modes, connectivity constraints, and the decisions your team needs to make. The output is a focused pilot scope—not a vague platform proposal.
- 02
Development & integration
We design sensors, edge logic, and cloud pipelines around your environment. Integration with existing PLC, SCADA, or legacy interfaces is planned from the start when needed.
- 03
Deployment & validation
Hardware is installed with minimal production disruption. We validate data quality, alert thresholds, and dashboards with your operators and maintenance team on real equipment.
- 04
Support & expansion
After go-live we tune alerts, add assets incrementally, and document what worked. You retain full control of your data and infrastructure.
Technical stack
We select hardware and software based on your environment—not a fixed vendor list. Typical components include:
- Sensors: level probes, flow meters, pressure transducers, temperature/humidity, energy meters
- Edge: industrial I/O modules, protocol converters (Modbus RTU/TCP, BACnet, OPC-UA)
- Connectivity: Ethernet, cellular, or LoRaWAN for remote or distributed sites
- Cloud: Azure IoT Hub or MQTT ingestion, time-series storage, Grafana or custom dashboards
- Control: relay outputs, digital I/O, or API calls to existing controllers where permitted
Frequently asked questions
- What is the difference between data acquisition and full automation?
- Data acquisition focuses on measuring, logging, and alerting. Full automation adds complex sequencing, interlocks, and real-time control loops across the plant. We deliver acquisition first—and add simple control only where the process benefit is clear.
- Can you read data from our existing PLCs?
- Yes. We frequently pull registers from Siemens, Allen-Bradley, Schneider, and other PLCs via Modbus, OPC-UA, or Ethernet/IP. That avoids duplicating sensors where the signal already exists.
- How do IoT solutions for warehouse management differ from factory monitoring?
- Warehouse projects often emphasize environmental monitoring (cold chain zones), door events, asset location, and inventory-adjacent signals. Factory projects focus more on machine health and process parameters. The stack is similar; the sensor mix and alerts differ.
- Is historical data exportable for audits?
- Yes. We configure retention policies and CSV/PDF export paths so compliance and quality teams can pull records for defined time ranges without asking IT for a custom report every time.
- What connectivity works best for remote pump stations?
- Cellular LTE is common where no wired network exists. LoRaWAN works well for low-bandwidth level and status sensors across a spread-out site. We assess signal strength and power availability during scoping.
Tell us what you need to monitor, collect, or control
Whether you need early warning before failure, better process visibility, a custom device, or a cloud platform built around your workflow, we can help define the right scope.
Technical question?
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