ISPT Projects

All projects for Industry 4.0 cluster

Engineering Business Intelligence

EBI – Engineering Business Intelligence

To take the scope, quality and impact of data collection, data analytics and data visualization to a new level in the process industry. Incentive Process-control,-monitoring and predictive maintenance are well-known...
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R-ACES – FRamework for Actual Cooperation on Energy on Sites and Parks

The vision of R-ACES is to support high-potential industrial parks and clusters to  become ecoregions that reduce their CO2 emissions by at least 10%. They do so by exchanging surplus...
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Measurements 4 Management

The aim of Measurement for Management (M4M) is to develop operational predictive technologies that (1) are transparent and include all available process information, (2) provide predictions of Key Performance Indicators...
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GRIP on Drying

Industrial cases for in line sensoring This project investigates how in line sensors can help improving product quality and efficiency in 5 industrial cases, using a large consortium of end...
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WeCare – We Create Awareness & Reduce Energy

The WeCARE project demonstrated the possibilities of Artificial Intelligence technology of EnergQ at a selected number of end users. EnerGQ’s self-learning energy management technology unveiled the excessive energy consumption and with that...
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IMPROVISE – Improved process operation via rigorous simulation models

Improved daily operations of important chemical processes in the Dutch chemical industry through operation technology based on detailed physical models. Incentive Being able to anticipate what a chemical process is...
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INSPEC – Integrating sensor based process monitoring and advanced process control

INSPEC quantitatively integrates information from state-of-the-art Process Analytical Technology, process measurements and dynamic process models (data driven or physics-based) into Advanced Process Control. This will induce a step-change with respect to...
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ERGO – Energy Reduction by Condition-based Monitoring

Using SAM4 to detect energy-inefficiencies and realize energy reduction. Semiotic Labs’ SAM4 provides a novel and unique approach to condition monitoring for critical AC motors and rotating equipment such as...
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AIDA – Accelerate the Integration of Digitalization Acceptation

The AIDA project The AIDA project performs fundamental and applied research towards predictive capabilities and the integration of digital technologies at the various levels of individual processes, site level and...
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Smart Maintenance Skillslab

This aim of this project is to develop a Smart Maintenance Skillslab. It is here where industry and educational institutions collaborate on the development and application of new forms of...
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IoF – Internet of Food

With the ever faster changing consumer demands, food industry needs to speed up its innovation and production process to become more efficient and more sustainable. Speeding up innovation and production...
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SAAI – Social Acceptance of AI in Industry

The SAAI project focuses on accelerating the implementation of Artificial Intelligence (AI) in industry, leading to an energy use reduction of 5-40%, an increased competitiveness of industry, and increased economic...
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