Möchtest du unsere Inhalte auf Deutsch sehen?

x
x

Industrial Data Acquisition – Knowing which solutions really work for –your data sources  sensors actuators controls

Find out which technologies leading companies from our network are already using successfully. We show you real solutions and practical examples that are being used by other companies to optimize their industrial data acquisition – proven, reliable and measurable.

Strong partners, strong solutions

Our experts for data acquisition

Our platform brings together leading technology partners and solution providers to support you in implementing your data transmission projects. Benefit from tried-and-tested solutions and experienced specialists from the IIoT community who know which transmission technologies work reliably in demanding industrial environments.

ALD Vacuum Technologies GmbH Logo

ALD Vacuum Technologies GmbH

Data AcquisitionPredictive analytics

ALD Vacuum Technologies designs, engineers and produces advanced vacuum metallurgy, heat treatment and...

autosen Logo

autosen

Data AcquisitionPredictive analytics

autosen offers sensors, automation technology and realizes potentials of the IIoT for customers. With...

Balluff GmbH Logo

Balluff GmbH

Data AcquisitionData visualization

Balluff is a sensor and automation specialist with a broad portfolio of IIoT-capable hardware,...

Endress+Hauser Logo

Endress+Hauser

Data AcquisitionData visualization

Endress+Hauser is a global leader in measurement and automation technology for process and laboratory...

Harting Technology Group Logo

Harting Technology Group

Data Acquisition

HARTING Technology Group has become a global leader supplying connectivity solutions for the three main...

ifm-Unternehmensgruppe Logo

ifm-Unternehmensgruppe

Predictive analyticsData visualization

ifm electronic gmbh with headquarters in Essen develops, produces and distributes sensors, controls,...

igus GmbH Logo

igus GmbH

Data visualizationPredictive analytics

The world is in constant motion. And where movement happens, that's where we come in: improve what...

IOX GmbH Logo

IOX GmbH

Data AcquisitionData transmission

smart.click allows a new way to integrate IoT solutions into business processes. Our NB-IoT & LTE-M...

ORGATEX GmbH Logo

ORGATEX GmbH

Data AcquisitionIoT platform

ORGATEX specializes in practical labeling and tools for the storage, transport, and logistics sectors....

Perinet GmbH Logo

Perinet GmbH

Data AcquisitionData preprocessing (Edge)

We develop forward-looking electronics to make sensors and actuators network-compatible. The new...

Red Lion Logo

Red Lion

Data preprocessing (Edge)Data visualization

Red Lion is focused on being THE Industrial Data Company™️. We empower industrial organizations around...

Schildknecht AG Logo

Schildknecht AG

Data AcquisitionData preprocessing (Edge)

Schildknecht AG has been developing innovative data transmission solutions for over 40 years and is an...

Secure and practice-proven connection of data sources

All relevant data can be captured in a practical way in highly networked IIoT projects – via suitable sensors, directly from control systems or other data sources. Our network relies on practice-proven products and solutions from our partners to make efficient use of this data.

Sensor data

Smart acquisition directly from the field: Our partners provide intelligent sensors whose data can be transmitted via IO-Link, LoRaWAN, or Modbus – wired or wireless. Whether it’s temperature, vibration, air quality, or consumption data – our network offers proven products for every application.

Control Data

Standardized and securely connected: Our partners integrate your PLC or IPC across manufacturers and via wired connections. Using protocols such as OPC UA (TCP) or OPC UA over MQTT, data is securely and bidirectionally transferred to real-time systems or cloud databases – with clear structure and context for standardized real-time and cloud systems.

Product Data

Smart objects as a data source: Our partners collect product data directly from your production, logistics, or critical infrastructure – for example, via RFID, digital nameplates, or QR codes. This data provides information such as serial numbers, material batches, or the CO₂ footprint.

Retrofit

Smart upgrades for existing equipment: Our partners enable machines, devices, silos, or systems from the 1980s, 1990s, or earlier to become IIoT-capable – using retrofitted sensors, suitable edge devices, and gateways. This allows standardized capture and reliable transmission of data such as temperature, runtime, or energy consumption.

Worker Data

Digitally capturing movements: Our partners collect data from mobile devices, wearables, or assistance systems such as AR glasses used directly on-site. This creates real-time insights into workflows, interactions, or positions – for greater safety, efficiency, and traceability among frontline workers.

Material Handling Data

Tracking container movements and fill levels: Our partners capture material flow data right at the source – e.g., through sensors on bins, FIFO racks, or C-part containers. Fill levels, withdrawals, and cycles are recorded in real time and made digitally available – enabling automated reordering, transparent inventory processes, and efficient production supply.

Industrial data transmission

The nervous system of digital transformation in the IIoT

Industrial data acquisition forms the basis of every successful digitalization initiative. Without precisely collected and structured data, even the most advanced analysis systems remain ineffective. Find out how modern data acquisition solutions can pave the way for data-driven decision-making in your organization.

What exactly is industrial data acquisition?

For manufacturers, data acquisition in the context of IoT means collecting specific measured values directly from machines, sensors and systems, bundling them and processing them in such a way that they can actually be used in daily operations. It’s about finally seeing what’s really happening in your production – from the simple “Where is the workpiece right now?” to the complex analysis of machine conditions.

Modern IoT data acquisition collects relevant operating data such as temperature, pressure, vibrations or production figures directly at the source. This data makes your processes traceable, helps to detect faults at an early stage and forms the basis for all further digitalization steps – from increasing efficiency to predictive maintenance.

Whereas previously you had to work with separate systems for operating data (PDA) and machine data (MDA), modern IoT data collection combines both into a practical overall system that gives you a complete overview.

In an industrial IoT context, it records relevant operating parameters such as temperature, pressure, vibrations or key production figures directly at the source – via industrial sensors, edge devices or machine control systems (PLC). This data forms the basis for all further digitalization measures, from process optimization to predictive maintenance.

While traditional production data acquisition (PDA) mainly covers organizational aspects and machine data acquisition (MDA) purely technical aspects, modern industrial data acquisition combines both worlds into a holistic system that enables both horizontal networking between machines and vertical integration from field level to company level.

Various field-proven technologies are used in day-to-day production:

  • Sensors that truly work: Robust industrial sensors measure physical parameters directly at the machine — from simple temperature probes to complex vibration analysis.
  • Data collectors that integrate seamlessly: Edge gateways and data acquisition modules retrieve data from your existing machines — even if they vary in age and manufacturer.
  • Communication that’s seamless: Standards like OPC UA, MQTT, or IO-Link ensure data is reliably transferred from the machine to your systems, without you having to worry about the technical details.
  • Local preprocessing that makes sense: Edge computing filters, compresses, and analyzes data right on-site — so you receive only the information you actually need, without data overload.
  • Software that makes data usable: Visualization and analysis tools process your data in a way that makes it clear and actionable — both for your operations and for your customers.

The biggest challenge is often not the technology itself, but finding a system that fits your specific requirements and can be integrated into your existing production environment.

Modern industrial data acquisition is based on various technologies that are combined depending on the application:

  • Sensors and measurement technology: Industrial sensors record physical variables (temperature, pressure, position) and convert them into electrical signals. Selecting the right sensor technology is crucial for data quality and precision.
  • Data acquisition hardware: Edge devices, PLCs and special data acquisition modules collect the sensor data, carry out initial pre-processing and forward it to higher-level systems.
  • Communication protocols: Standards such as OPC UA, MQTT or IO-Link enable uniform data exchange between machines, controllers and IT systems, regardless of the manufacturer.
  • Edge computing: Local pre-processing of data directly on the machine reduces data volumes, lowers latency times and relieves central systems for time-critical applications.
  • Data management software: Special software collects, structures and stores the recorded data and makes it available for further analysis and visualization tools.

The biggest challenge often lies in integrating different technologies into a consistent system – especially in heterogeneous production environments with machines of different generations and from various manufacturers.

Benefits of dat aacquisition

Use your data potential
- for more efficiency & safety

Industrial data acquisition is essential for digital transformation – but only if it is implemented correctly. Find out what critical benefits companies can gain from our network with accurate, field-proven data acquisition solutions and what risks you can avoid by eliminating common mistakes.

Precise process control through real-time data

Industrial data acquisition makes it possible to continuously monitor machine parameters such as temperature, pressure, vibrations or throughput. This allows dynamic adjustment of production processes in real time in order to avoid production bottlenecks and sustainably increase overall equipment effectiveness (OEE).

Minimization of machine downtimes

Thanks to automated data acquisition, anomalies can be detected at an early stage. Algorithms for pattern recognition continuously analyze machine data and identify signs of wear before failures occur. This reduces maintenance costs and prevents unplanned production downtimes.

Standardized data communication

Standardized communication protocols such as OPC UA, MQTT or IO-Link enable the smooth connection of heterogeneous machine parks. This enables companies to merge machine data from different sources centrally and integrate it into higher-level IT systems such as MES or ERP.

Data quality for reliable analyses

The combination of data acquisition and edge computing enables data to be pre-processed at the machine. In this way, irrelevant information is filtered and only high-quality, aggregated data is forwarded to central systems. This reduces latency times and increases the efficiency of data analysis.

Efficient automation with retrofit solutions

Retrofit technologies can also be used to integrate older machines that previously had no digital interfaces into IIoT ecosystems. Sensors and adapters based on protocols like IO-Link or BACnet capture relevant machine parameters and make them usable for digital applications.

Visualize processes and make data-driven decisions

Collected machine data is processed using visualization tools like Grafana or Power BI. Companies receive interactive dashboards that enable them to analyze process indicators such as OEE, MTBF (Mean Time Between Failures), or energy consumption in detail — and make informed, data-driven decisions.

Successfully implementing IIoT projects - by sharing experiences and best practices

Gain valuable insights into real-world IIoT implementations, learn from the best practices of leading companies, and connect with the right contacts in the community – for well-informed decisions and future-proof strategies.

Discover Best Practices

Use our platform to discover hands-on best practices and industrial use cases. See how other companies are successfully implementing concrete IIoT projects.

Utilize expert knowledge

Talk to us – we listen, understand your challenges, and connect you with the right experts and contacts from our community.

Vertrieb-aaa-friedrichshafen-Messe-kunden-partner-werden
Practice-oriented. Tested & Up to date.

Examples from our network - How our partners successfully
implement data acquisition

Experience how leading companies are using industrial data acquisition technologies as an essential part of their overall IIoT strategy through practical and proven use cases. Be inspired by concrete applications that show how products and standards can be seamlessly integrated in practice and create measurable added value.

Which building blocks will make your IIoT project really successful?

Many IIoT projects fail not because of the idea, but because of the implementation: a lack of scalability, high operating costs and unclear requirements lead to expensive rework and a failed business case.

On our platform, you will find tried-and-tested technologies, best practices from real industry projects and the collective knowledge of our community. We show you how to avoid typical mistakes with the right technology stack – from data acquisition to AI evaluation – and how to set up your IIoT project economically and future-proof.

Discover how leading companies from our network successfully structure their projects – modular, interoperable and data-secure.

Data Acquisition

Data acquisition forms the solid foundation of your IoT application. Whether machine, operating or sensor data - accurate and reliable data acquisition enables precise analyses and data-based decisions. Modern solutions capture data directly at the machine, standardized and in real time.

Data Transmission

Reliable data transmission is essential for every IoT process. Choose between wired (e.g. Ethernet) and wireless technologies (e.g. 5G, LoRaWAN) based on your requirements in order to optimally combine stability and flexibility.

Data preprocessing

The efficient preparation and pre-processing of your raw data ensures that it can be used immediately. Whether edge computing or local pre-processing - reduce the amount of data and significantly improve the performance of your IoT systems.

Data standardization

Data standardization creates the basis for efficient, cross-manufacturer communication and consistent use of data throughout the entire life cycle. Whether through protocols such as OPC UA over MQTT for secure transmission or standardized product data and digital twins - your IIoT projects remain flexible, scalable and economical.

IT/OT integration

The convergence of production technology (OT) and information technology (IT) enables you to achieve a transparent data flow without media disruptions. This allows you to eliminate data silos, speed up decision-making and optimize your operational processes in the long term.

IoT platform

IoT platforms form the central nervous system of your digital infrastructure. As PaaS or SaaS solutions - for example in the form of customer portals for manufacturers - they store, visualize and manage IoT data. As a result, you always have a comprehensive overview of your processes and can make well-founded, data-based decisions.

Data Security

Protecting sensitive industrial and process data is a top priority. Modern security concepts ensure that your data is transmitted and stored in encrypted form and that your systems always comply with current regulatory requirements.

Device Management

Efficient management of networked IoT devices is a key component of successful digitalization strategies. From commissioning and updates to decommissioning - structured device management reduces operating costs and significantly increases the security of your IoT infrastructure.

Data Science & Analytics

Visualized data enables faster and more precise decisions in your company. Modern dashboards and graphical presentations transform complex data streams into clear, real-time displays and create transparency at all levels of the company.

Data Analysis and Evaluation

The systematic analysis of your IoT data uncovers hidden correlations and identifies optimization potential in your processes. From descriptive statistics to complex analysis procedures - gain valuable insights from your operational data for well-founded business decisions.

Data analysis with ML & AI

Data analysis is the basis for data-driven IIoT applications - from process optimization to AI-supported predictions. While traditional evaluations work with fixed rules, AI algorithms independently recognize patterns and anomalies - for predictive maintenance or quality forecasts, for example. Both approaches complement each other and optimize the potential of your IoT data.

Use case apps

Industry-specific IoT applications address concrete challenges with preconfigured functionalities. From production optimization to asset tracking — these specialized solutions offer rapid time-to-value and can be flexibly adapted to individual requirements.

Technologies that our partners use in projects for data acquisition

Choosing the right standards and technologies determines the success of your data acquisition projects. Industry-leading standards form the foundation for reliable communication between your machines, sensors and IT systems. Our partners rely on established technologies that ensure seamless integration:

Network, exchange ideas, benefit.

Implementing IIoT projects together - with field- proven solutions

Our community brings together industry experts who have already implemented successful IIoT projects – openly, practically and on an equal footing. Gain insights into how other companies have solved challenges, share your use cases and discover new ideas and concrete solutions for your business.

0 +
Solution examples
0 +
Successful projects
0 +
Active members
Use Cases

Your use case has already been solved — see for yourself!

Every innovation starts with an idea. Discover proven use cases that support your digital transformation — from predictive maintenance to worker safety.

Condition monitoring

Real-time monitoring of machine and sensor data to reduce downtime.

Predictive Maintenance

Data-driven maintenance to detect failures early and cut costs.

Track & Trace

Seamless tracking of assets and material flows in production and logistics.

Digital Documentation

Automated collection and management of production and operational data.

Practical knowledge you can listen to

Our podcast episodes to listen to — hands-on expertise around data acquisition

In our podcast, we bring together users and manufacturers to discuss real-world challenges of data acquisition — from both technical and business-case perspectives. Tune in for practical insights and proven solution approaches.

IoT Use Case Podcast #118 - ICONICS + Mitsubishi Electric Europe
Efficient manufacturing with data acquisition & analysis

Learn how Smart Manufacturing Kaizen Level (SMKL) optimizes production processes through data acquisition and analysis. Practical insights for decision-makers and engineers!

IoT Use Case Podcast #126 - WIKA
From measuring point to added value - WIKA's path to becoming an IIoT solution provider

Philipp Lausberger provides exclusive insights into the transformation, from sensor technology and data transmission to the integration of smart services.

IoT Use Case Podcast #84 - ifm, Magna
Automotive: Maintenance and Condition Monitoring

In this episode, Sebastian Schlicht (Magna) and Tilo Haug (ifm) talk about predictive maintenance, vibration analysis and digital transparency on the shopfloor.

Would you like to find out more about data acquisition?

Whether you need initial insights, specific questions or concrete use cases – we can help you! Contact us for individual consultation and solutions.

What really drives your business in the digital age?

We deliver the answer – straight to your inbox every month.
Subscribe to the IoT Use Case newsletter now and never miss a thing.

The protection of your data is our top priority - find out more in our privacy policy.