Decentralized data acquisition system - innovation for industrial applications

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Basics of decentralized data acquisition

Modern industry faces the challenge of efficiently collecting, networking and analyzing data in real time from distributed locations. With the help of a decentralized data acquisition system, it is possible to record measurement data at different locations and systems. In contrast to traditional centralized systems, decentralized data acquisition also involves installing autonomous data loggers close to the respective measuring point. This significantly reduces the amount of cabling required and enables efficient data acquisition. These solutions enable companies to collect, network and analyze data from a wide variety of locations in order to make informed decisions.

Advantages in industrial applications

Particularly in industrial applications, such as monitoring conveyor belts or construction machinery, it is important to record data precisely and quickly in order to detect and rectify possible failures or faults at an early stage. This is where the decentralized complete solution with compact data loggers such as the Loggito offers a number of advantages:

  1. Efficiency and flexibility: The ability to collect, network and analyze data autonomously from different locations enables companies to make more flexible decisions and optimize their processes.
  2. Reduced cabling effort: As the self-sufficient data loggers are installed directly at the measuring points, costs and time can be saved
  3. Early detection of failures: Fast data collection and analysis enables companies to detect potential failures or malfunctions at an early stage and react accordingly.
  4. Optimized production processes: Reliable monitoring of the systems enables production processes to be optimized, downtimes to be minimized and maintenance costs to be reduced.
  5. Increase in productivity: Efficient monitoring of the systems helps to increase productivity and improve quality, as bottlenecks and inefficient processes can be identified and rectified at an early stage.
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Application example

Construction machine monitoring with decentralized data acquisition

Monitoring construction machinery requires precise condition information and efficient maintenance planning. By implementing the "condition monitoring as a service" business model with decentralized data acquisition from Delphin, construction machinery manufacturers can meet these requirements.

The solution

  • Installation of a DAQ Systems on every construction machine for recording vibration and process data.
  • Temporary data storage in the DAQ system ensures continuous recording and data security even if the connection is interrupted.
  • Secure data transmission via LTE to the construction machinery manufacturer's central Delphin Data Center (DDC).
  • Central evaluation of data to monitor machine status and identify maintenance requirements.
  • End customers of the construction machinery manufacturer receive access to the data and specific recommendations for action.

The customer benefit

  • Expansion of the business model to include "Condition monitoring as a service".
  • End customers receive transparent access to machine data in order to proactively minimize downtimes.

This solution shows how decentralized data acquisition can be used effectively in construction machinery monitoring to offer manufacturers and end customers real added value.

The innovative data acquisition system

Through the targeted use of decentralized data acquisition in monitoring, companies can optimize their production processes and increase system availability Regardless of location or existing infrastructure, companies always have an overview of the status of their machines and systems and can react immediately in the event of deviations and malfunctions.

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