IIoT Machine Connectivity

Connect machines and production equipment to collect reliable shop-floor data in real time. Standardise communication across different technologies and make machine data available to MES, analytics and monitoring systems.

Collect shop-floor data directly from machines, PLCs and sensors

Accevo machine connectivity provides a common data layer for mixed equipment fleets. Collect machine states, cycle counts, speed, defects, process values and connection status through PLC drivers, industrial protocols, I/O modules and sensors, then use the data in MES, OEE and production dashboards.

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Meet our machine connectivity team

people installing screen on factory shop floor

Experienced connectivity engineers

Our engineers connect machines, controllers and industrial devices across different manufacturers and generations. They configure reliable data collection and verify each signal at the source, so your systems receive accurate production data.

people installing hardware on factory

Support from installation to operation

We support the entire connectivity lifecycle, from on-site assessment and configuration to testing and maintenance. Our modular approach lets you expand the solution over time while keeping machine communication secure and cost-effective.

 
 
 

Turn raw machine signals into usable production data

Accevo maps signals from the automation layer to manufacturing events and measures. Older equipment, modern PLCs and additional sensors can feed the same production data collection process.

Connect the source

Use PLC drivers, OPC UA, other industrial protocols, sensors, meters, cameras or I/O modules.

Structure the signal

Convert counters, states and process values into production data with timestamps and equipment context.

Feed factory systems

Use the same trusted source in MES, OEE, machine monitoring and online visualization.

Key benefits of shop-floor data collection

Direct machine data

Replace estimates and delayed manual logs with signals collected at the equipment layer.

Mixed-fleet coverage

Connect different brands, generations and control systems through one IIoT platform.

Reliable production history

Buffer data during connection loss and synchronize it after communication returns.

Build machine data acquisition step by step

Map the asset, select the connection method and validate every signal before rollout.

01

Inventory the equipment

Record machine, controller, available protocols, network access and required data points.

02

Choose the connection

Select a PLC driver, protocol, sensor, data acquisition module or another suitable method.

03

Map and validate signals

Confirm counters, state logic, units, ranges, timestamps and expected machine behaviour.

04

Monitor the data flow

Track connection health, buffer interruptions and expose the data to downstream systems.

Collect the machine data production teams actually use

The objective is not to read every available tag. Accevo identifies the signals needed for production execution, performance monitoring, quality and maintenance, then gives them a consistent equipment context.

Production signals

Collect cycle counters, produced and rejected quantity, cycle time and line speed.

Machine monitoring

Read running, microstop, stop, failure and connection states with timestamps.

Process parameters

Capture values such as weight, pressure, temperature, force and energy consumption.

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Protect data continuity at the edge

Machine data collection must continue through temporary network or server interruptions. Accevo monitors connectivity and can buffer collected values for an agreed period before synchronizing them with the central platform.

Connect machines through industrial protocols and hardware

Choose the best available source for each asset instead of requiring one controller standard.

PLC data acquisition

Read data from Siemens, Allen Bradley, Beckhoff, OMRON and other supported controllers.

OPC UA integration

Connect equipment and servers that expose structured data through OPC UA or OPC DA.

Industrial protocols

Use Modbus TCP, MTConnect, Heidenhain, Ethernet IP, Euromap and other interfaces.

Sensors and I/O

Add counters, digital or analog signals where direct PLC access is unavailable or incomplete.

Meters and cameras

Collect energy values or use vision-based inputs for selected performance and quality cases.

Operator panel

Combine automatic data with operator context and show current machine status on the floor.

Use machine data across manufacturing systems

One connectivity layer gives production applications the same counters, states and process values.

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Plan shop-floor data collection

Review your machine fleet, controllers, protocols, available signals and network constraints with Accevo. We will identify the right connection method for each asset and map the data needed by MES, OEE and machine monitoring.

Machine connectivity and data collection - FAQ

Shop-floor data collection captures production events and measurements from machines, PLCs, sensors and operators. It structures the data so MES, OEE, dashboards and other manufacturing systems can use it.

Typical data includes cycle and defect counters, cycle time, machine state, line speed, process parameters, energy values and connection status. Availability depends on the equipment and selected connection method.

Examples include OPC UA and DA, Siemens TCP, Allen Bradley, ADS Beckhoff, MTConnect, Heidenhain, Modbus TCP, Ethernet IP, Euromap, OMRON, web services and custom TCP or file interfaces.

Yes. Where a machine does not expose the required data through a modern protocol, Accevo can use I/O modules, sensors, counters, meters or another suitable acquisition method.

Accevo can buffer machine data for a configured period and synchronize it after the connection returns. Connection status is monitored so teams can see a data-source interruption.

Yes. It is the equipment-facing layer that acquires and structures industrial data. Accevo then makes that data available to production execution, performance monitoring and visualization modules.

Related insights on machine connectivity

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Meet us at Pharma MES 1 - 2 October 2026 | Berlin, Germany