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Historical and Statistical data filtering and analysis software

Listing Description

Result description

KASEM® Data Quality is a new tool for KASEM® (Knowledge and Advanced Service for E-Maintenance) which is developed, maintained, and improved by PREDICT. KASEM® is a web platform with a service-oriented architecture (SOA), integrating collaborative e-maintenance, engineering, proactive maintenance, decision-making and expertise tools.

KASEM® Data Quality is a new, robust KASEM® feature that complements the software platform’s range of tools. KASEM Data Quality can be embedded as close as possible to the machines to be made available to operators, or on remote workstations to serve maintenance or production teams.

• Using existing data

• No need of additional sensors

• No false alert

• Direct connection to the machines

• Automatic identification of specific programs and parts produced on monitored machines

• Automatic detection of process data presence

• Suitable for main communication protocoles and Sources data collection (PLC & NC): S7, FOCAS, OPC UA, …

• Customized dashboard for visualization of data collection quality

Missions

Addressing target audiences and expressing needs

Our needs are
  • Grants and Subsidies
We specifically need / are looking for

Further data quality functionalities should be integrated.

Collaboration with industrial partners to evaluate the tool in relevant environments

Target audiences
  • Public or private funding institutions
  • Private Investors

R&D, Technology and Innovation aspects

Current stage description

The functionality must be further evaluated in industrial environment

Result submitted to Horizon Results Platform by PREDICT SAS

Offer Details

Specifications and Deliverables:

Value Proposition:

KASEM® Data Quality is a new, robust KASEM® feature that complements the software platform’s range of tools. KAQEM Data Quality can be embedded as close as possible to the machines to be made available to operators, or on remote workstations to serve maintenance or production teams.

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Adress:

AVENUE DE LA FORET DE HAYE 19
Vandoeuvre Les Nancy
Grand Est
54500
France

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