One of the fastest growing companies in the German sports retail sector continues to grow and needs smart software applications that keep up with this growth technologically. The EXWE team was able to provide effective support to the end customer thanks to its previous project experience in this area, thus making a major contribution to the success of the project.Īutomation of recruitment processes & hiring procedures for a major European sports retail chain I.
The different microservices were decoupled via a RabbitMQ message queue.įrom conception to go-live of the first complete version took 1 year, since then the application has been in constant development. The frontends were built as Single Page Applications (SPA) with Angular 7 as the underlying framework. The application itself was implemented using a microservice architecture and programmed using. The AWS graph database Neptune was used to map the data semantics, with RDF as the data model and SPARQL as the query language. The implementation was done with state-of-the-art technologies: The application is run in the AWS Cloud on a Kubernetes cluster and is automatically deployed via a CI/CD pipeline. The data is described semantically, which makes it possible to bring data that is not directly related together into a context.
The underlying principle is called "FAIR data": findable, accessible, interoperable and reusable data. The goal of the project is to make knowledge in the company findable, accessible and catalogable. On behalf of one of the largest IT service providers in Europe, we supported the project management and realization of an extensive project for the development of a company-internal knowledge database.
ATLAS COPCO TOOLS TALK SOFTWARE REGISTER FULL
The concept contains four steps – from data monitoring and product function control, to calculated optimisation and in the end full autonomy.Individual software development of a knowledge database based on Linked Data / Semantic Data As part of this offering, Atlas Copco is not only talking fully autonomous products, but different steps of automation based on the task at hand and on the current level of automation in a mining or construction operation. The Dynamic tunnelling package is an automation package for face drilling rigs within Atlas Copco’s ‘Powered by Automation’ offering. As a result, the drill plans will always be made precisely for the section and size that should be excavated.
The drill rig can then make its own drill plans according to the tunnel model and based on where in the tunnel it is navigated. The set of rules and the 3-D model is then transmitted to the drill rig by USB or Wi-Fi connection. With the new Dynamic tunnelling package, users still import the 3-D model but only need to set up a set of rules (a rules file) in Underground manager. Previously, software users imported the model into Underground manager – another Atlas Copco software package used for planning and reporting of drill rig data and information - and then do all the drill plans manually. All tunnelling models now use 3-D models.
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