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.
Our platform brings together leading technology partners and solution providers to support you in the implementation of your data acquisition projects. Benefit from field-proven solutions and experienced partners from the IIoT community
ALD Vacuum Technologies designs, engineers and produces advanced vacuum metallurgy, heat treatment and...
autosen offers sensors, automation technology and realizes potentials of the IIoT for customers. With...
Balluff is a sensor and automation specialist with a broad portfolio of IIoT-capable hardware,...
Endress+Hauser is a global leader in measurement and automation technology for process and laboratory...
HARTING Technology Group has become a global leader supplying connectivity solutions for the three main...
ifm electronic gmbh with headquarters in Essen develops, produces and distributes sensors, controls,...
The world is in constant motion. And where movement happens, that's where we come in: improve what...
smart.click allows a new way to integrate IoT solutions into business processes. Our NB-IoT & LTE-M...
We develop forward-looking electronics to make sensors and actuators network-compatible. The new...
Red Lion is focused on being THE Industrial Data Company™️. We empower industrial organizations around...
Schildknecht AG has been developing innovative data transmission solutions for over 40 years and is an...
As a technology and market leader in the field of sensor intelligence and application solutions, SICK...
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.
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:
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:
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.
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.
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).
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 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.
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.
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.
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.
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.
Use our platform to discover hands-on best practices and industrial use cases. See how other companies are successfully implementing concrete IIoT projects.
Talk to us – we listen, understand your challenges, and connect you with the right experts and contacts from our community.
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.
Collect process data automatically with sensors instead of manually – for more transparency, faster reactions and optimized production with the IIoT platform moneo.
Sustainability and reliability are at the heart of nitrogen and oxygen production. How AIRCO approaches the market with the potential of data acquisition and visualization.
Find out how Schaeffler Digital Solutions digitalizes heterogeneous machine parks with autinity software – for more OEE, lower costs & more efficiency.
Find out how FRIMA efficiently digitalizes production systems with autosen’s minimally invasive IoT retrofit solution – without interfering with the existing IT.
Many IIoT projects fail because the chosen technologies, products or solutions are expensive, inflexible or not scalable in later operation. Projects often only develop over time, meaning that requirements are not fully known at the start – or there is a lack of knowledge about existing options on the market. The result: rework, high costs or a failed business case.
On our platform, you will therefore find consolidated knowledge from the community and tried-and-tested best practices from real industry projects. We will show you which technologies and solutions work for specific use cases – and which pitfalls you should avoid in order to implement your project securely, sustainably and economically successfully.
Find out how other companies in our network are building their technology stack – from data acquisition, data transmission, standardization and security to IoT platforms and analysis.
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.
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 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.
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 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.
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.
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.
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.
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.
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 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.
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.
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:
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.
Chief Executive Officer
Every innovation starts with an idea. Discover proven use cases that support your digital transformation — from predictive maintenance to worker safety.
Real-time monitoring of machine and sensor data to reduce downtime.
Data-driven maintenance to detect failures early and cut costs.
Seamless tracking of assets and material flows in production and logistics.
Automated collection and management of production and operational data.
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.
Learn how Smart Manufacturing Kaizen Level (SMKL) optimizes production processes through data acquisition and analysis. Practical insights for decision-makers and engineers!
Philipp Lausberger provides exclusive insights into the transformation, from sensor technology and data transmission to the integration of smart services.
In this episode, Sebastian Schlicht (Magna) and Tilo Haug (ifm) talk about predictive maintenance, vibration analysis and digital transparency on the shopfloor.
Everything you need to know – from first use to technical integration.
Industrial data acquisition refers to the systematic process of converting physical machine and sensor data into digital formats. In contrast to conventional data acquisition, industrial data acquisition is characterized by real-time acquisition, high data rates, standardized communication protocols and close integration with industrial control systems. While conventional systems often function as stand-alone solutions, industrial data collection enables end-to-end connectivity from the sensor to the machine controller to the cloud platform, thus forming the basis for Industry 4.0 applications.
Several standardized communication protocols are established in industrial data acquisition:
The choice of the right protocol depends on specific requirements for real-time capability, data volume, security, and compatibility with existing infrastructure.
For integrating older machines (retrofit), several proven approaches are available:
When retrofitting, it is important to carry out a cost-benefit analysis and identify the relevant data for your use cases in order to avoid overinvestment.
The following security aspects must be considered when implementing industrial data acquisition systems:
Due to the critical nature of production-related systems, a comprehensive security concept that combines technical and organizational measures is essential.
Edge computing refers to data processing directly at the point of data origin — close to sensors and machines — rather than in a centralized data center or the cloud. In industrial data acquisition, edge computing plays a crucial role, as it:
Typical edge computing devices in industrial environments range from compact IPC systems to dedicated edge gateways and intelligent controllers that can handle data preprocessing alongside their control functions.
The data to be collected depends heavily on your specific objectives, but the following data categories are relevant in many production environments:
It’s important to first focus on the data directly connected to your business goals and that provide measurable value. In most cases, gradually expanding the number of data points collected is more effective than trying to capture everything from the start.
Whether technical details, integration or possible uses – our team will be happy to help you. Contact us and get the answers you need!
The term “Internet of Things” (IoT) has a broad definition. Here, we bridge the gap between industry concepts and practical applications.
Whatever you call it, you’ll find it here without “buzzword bullshit bingo.”
We look forward to hearing from you!
You need to load content from reCAPTCHA to submit the form. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Facebook. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information
