D.2: DIDA (Digital Industries Data Analytics)

• Short Description:

The DIDA (Digital Industry Data Analytics) Platform is an OSS Digital Manufacturing Platform, aiming to become a reference implementation for any Industry 4.0 Data Analytics need, enabling the development of applications in several industrial domains (e.g., production system optimization, zero defect product quality assessment, energy and waste management, predictive and prescriptive maintenance). The Platform - integrating components from several Open-Source projects such as FIWARE, APACHE and KNOWAGE - enables several data management processes including the support of AI, the integration of existing algorithms and a design environment for data orchestration.The Processing (AI) layer enables the deployment and operation of AI services on-the-edge or on the cloud. It targets sensor acquisition optimization, real-time analytics modules and adaptation of intelligent manufacturing assets.

• Reference, URL: https://github.com/Engineering-Research-and-Development/dida

• 'Applicable Business Category: All/Smart Industry

• Application in relevant Projects/Initiatives: MIDIH, AI REGIO, CAPRI

• Asset Type: Executable, Platform

• AI Breadth: N.A.

• Learning Ability: N.A.

• Related technologies: Grafana, Spark, Hadoop, Draco, AirFlow, Orion, OPC UA Agent, MQTT Agent, etc.

• Applicable Research Area: Collaborative AI

• Applicable Technical Category: Machine Learning

• License Information: GNU Affero General Public License v3.0

• Related to circularity and sustainability: Not directly

• Audience: Developers

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