Industrial Analytics Competence Boost

Project time: 2016 – 2016

Budget: 400 000 kr

Funding: SIP Produktion2030

Purpose and goal

The goal of the project has been to strengthen the expertise concerning industrial data analytics at Alkit Communications AB – a company developing softw are-based systems for, among other things, monitoring of process industrial systems. The background to the project is the w ork regarding data analytics performed w ithin the Produktion2030 project SAPPA (Service Architecture for Product and Production Availability). The aim of the SAPPA project w as to develop industrial production monitoring systems to improve availability and reliability.

Results and expected effects

The project har supplied key expertise in data analytics to Alkit, increasing the value of Alkit’s commercial products and services, and raising the level of innovation w ithin the company. The results are softw are implementations of methods and algorithms, leading to improved products and services for Alkit, and improved ability to deliver systems for increased availability of industrial production systems.

Approach and implementation

The w ork has involved implementation and integration of softw are components for data analytics. The w ork has also included testing, technical documentation and dialogue w ith end users.
Tests of the analysis mechanisms implemented have been carried out regularly according to the agile softw are development process Alkit uses. Demonstrations have been carried out according to plan.

Participating researcher(s)

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