DataCollector - High performance IT Infrastructure for Manufacturing

DataCollector - High performance IT Infrastructure for Manufacturing
Product Description

The plus10 DataCollector provides a high-performance data infrastructure for the acquisition and pre-processing of machine data from any source such as sensors, machine or robot controllers. Its simple configuration and implementation transforms machine data into Big Data and creates value through high-frequency data acquisition in milliseconds. DataCollector works independently of the machine manufacturer, making it a solution for all supported control systems. In addition to connectivity and data acquisition, DataCollector offers several features for visualization and analysis of machine data. For example, selected signals can be visualized live per time interval in the Signal Viewer.

plus10 GmbH

  • DE
  • 2021
    On CPHI since
  • 4
    Certificates
  • 1 - 24
    Employees
Company types
Manufacturer/Innovator
Other

plus10 GmbH

  • DE
  • 2021
    On CPHI since
  • 4
    Certificates
  • 1 - 24
    Employees
Company types
Manufacturer/Innovator
Other

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plus10 GmbH resources (2)

  • News Pharmapack 2023 – Take the Start-Up innovation tour

    At Pharmapack 2023 in Paris we debuted a new and improved Start-Up Hub. The Hub included several start-up companies we are looking to support and make the event more accessible. 
  • Webinar Best Practice on How to Gain +10% OEE: Innovative AI-Tools for Pharmaceutical and Medical Device Production Lines

    In this webinar, originally broadcast as part of the Pharmapack Europe show, Felix Georg Müller, CEO & Co-Founder, plus10 GmbH introduces the company's innovative and GMP-compliant AI-tools for automated pharmaceutical production and packaging lines. The focus of the presentation is a detailed best practice use case in pharmaceutical production. The speaker presents and explains the requirements, challenges and benefits of the customer implementation. As well as, he focuses on technical conditions and effects on pharmaceutical production and packaging of our self-learning and innovative technology. On the basis of a specific implementation, he shows that data-driven and AI-based technology is able to minimize OEE-losses in GMP-compliant production and represents an innovative approach for all pharmaceutical producers.