Extracting data from machines – explitia

Extracting Data from Machines

Build production IT systems on direct source data

explitia supports the complete process—from analyzing actual needs and creating an implementation roadmap to extracting data from machines, implementing an IT system and providing post-completion support.

Ask us about machine data

What does extracting data from machines involve?

Extracting data from machines gives production IT systems access to information directly from industrial sources.

PLC controllers

Collect information stored and processed by machine controllers.

Sensors and actuators

Obtain measurements and signals directly from production equipment.

ERP and other IT systems

Use information already available in other systems operating in the plant.

Electrical signals

Acquire required data directly from available electrical signals.

The effects of extracting data from machines

Build production IT systems on data obtained directly from machines, sensors, actuators and other available sources.

Identify the signals and sources required by the IT system.
Check whether the required measurements exist.
Evaluate whether available measurements are sufficiently accurate.
Integrate information from several types of sources.
Use a common communication standard where possible.

Create a reliable data foundation for production IT systems.

Reliable source data

Use information obtained directly from production equipment and systems.

Integrated data sources

Combine information from different sources in one standardized model.

Appropriate automation

Automate data acquisition only where it has a business justification.

Engineering support

Use an interdisciplinary team to identify and acquire the required data correctly.

How does machine data acquisition work?

Analyze current processes

Begin with an analysis of the production processes and the existing technological environment.

Conduct a pre-implementation audit

Identify the actual challenges of the manufacturing plant during an audit and workshop.

Create an implementation roadmap

Define the planned system scope and the stages of implementation.

Identify data sources

Analyze documentation, signals and available measurements to determine where the required data can be obtained.

Plan data acquisition

Select the appropriate method for obtaining and integrating data from the available sources.

Implement and support the system

Implement the IT solution and provide support after the project has been completed.

Look at our implementation process

What does extracting data from machines include?

Process analysis and audit

Implementation roadmap

Integration of new machines

Signal and documentation analysis

Data source standardization

Manual data entry

Process analysis and audit

Analyze current production processes.
Identify the actual challenges of the plant.
Determine which data the planned IT system requires.

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Data sources and integration methods

PLC controllers

Sensors

Actuators

ERP and other IT systems

Electrical signals

Software documentation

Electrical documentation

Common communication standards

Dedicated integration solutions

When the required data comes from different types of sources, it should be integrated into one standardized model before being transferred to the information system.