{"id":25508,"date":"2019-02-04T09:40:42","date_gmt":"2019-02-04T08:40:42","guid":{"rendered":"https:\/\/www.ita.es\/proyecto\/big-maq-data\/"},"modified":"2025-03-21T14:10:48","modified_gmt":"2025-03-21T13:10:48","slug":"big-maq-data","status":"publish","type":"proyecto","link":"https:\/\/www.ita.es\/en\/project\/big-maq-data\/","title":{"rendered":"BIG MAQ DATA"},"content":{"rendered":"\n
\n
\n

\n Project name<\/strong>\n <\/h3>\n\n\n\n

BIG MAQ DATA – Big Data technologies for innovation in construction machinery and lifting equipment.<\/p>\n\n\n\n

\n Execution period<\/strong>\n <\/h3>\n\n\n\n

\n July 2017 to March 2018<\/strong>\n <\/p>\n\n\n\n

\n File number: AEI-010600-2017-166 <\/strong>\n <\/p>\n\n\n\n

\n The project<\/strong>\n <\/h3>\n\n\n\n

The\n present project aims to define a portfolio of projects of \nexperimental development and innovation aimed at manufacturers of \nconstruction machinery belonging to the AEI ANMOPYC and \nmanufacturers of lifting equipment belonging to the AEI AECAE to \nthrough the implementation of Big Data technologies in the different \nactivities developed by these companies.<\/p>\n\n\n\n

\n Technical information on the project and its objectives:<\/strong>\n <\/p>\n\n\n\n

The\n general objective of the project is to bring Big Data technologies closer to \nthe companies of the 2 AEIs mentioned above, providing \nproposals and technologies that facilitate the adoption of Big Data in \nfuture projects.<\/p>\n\n\n\n

More detailed objectives will include:<\/p>\n\n\n\n

    \n
  • Classification\n and assessment of the various technologies in terms of their applicability \nin construction machinery and lifting equipment.<\/li>\n\n\n\n
  • Description of use cases and examples of application of these technologies.<\/li>\n\n\n\n
  • Generation of projects for the implementation of solutions with Big Data technologies in different applications.<\/li>\n\n\n\n
  • Define a specific project portfolio for the application of Big Data technologies to the marketing and sales areas.<\/li>\n\n\n\n
  • Development of a sectorial demonstrator for the application of Big Data technologies to a real case.<\/li>\n<\/ul>\n\n\n\n

    This\n project is divided into 5 work packages and has a duration of\n 9 months. The tasks linked to the Project Management are executed \nduring the whole life of the project, from July 2017 to March 2018.<\/strong> The work packages are listed below and the leaders of each are indicated:<\/p>\n\n\n\n

    WP1: State of the art of Big Data technologies with public application and construction and lifting devices (ITAINNOVA)<\/p>\n\n\n\n

    WP2: Scope analysis (ANMOPYC)<\/p>\n\n\n\n

    WP3: Characterization of Big Data technologies (ITAINNOVA) <\/p>\n\n\n\n

    PT4: Project Generation Working Group (ANMOPYC)<\/p>\n\n\n\n

    WP5: Big Data Demonstrator and dissemination actions (ITAINNOVA)<\/p>\n\n\n\n

    \n Participating entities:<\/strong>\n <\/p>\n\n\n\n

      \n
    • ANMOPYC (Coordinator)<\/li>\n\n\n\n
    • ITAINNOVA<\/li>\n\n\n\n
    • AECAE<\/li>\n\n\n\n
    • IMCOINSA<\/li>\n<\/ul>\n\n\n\n

      \n Call to which the project belongs<\/strong>\n <\/p>\n\n\n\n

      Innovative Business Clusters<\/p>\n\n\n\n

      This\n project has received a grant under the \nprogram to support Innovative Business Groups (AEIs). This \nprogram to support the strengthening of innovation clusters is \ninserted in the European strategy to improve competitiveness for the \ninnovation.<\/p>\n\n\n\n

      \nThe clusters that can benefit from the program’s\n grants are those entities whose innovative potential and critical mass \nhave been recognized by the Ministry of Economy, Industry and Competitiveness (MINECO) through their registration\n in the Register of Innovative Business Clusters.<\/p>\n\n\n\n

      Budget<\/strong>: The overall budget for the project amounts to 52,033.69 euros.<\/p>\n\n\n\n

      Financing<\/strong>: 26,240.05 <\/p>\n\n\n\n

      This\n project has been co-financed by the Ministry of Industry, Commerce and\n Tourism, within the aids established to support innovative business clusters\n in order to improve the competitiveness of \nsmall and medium-sized enterprises.<\/p>\n\n\n

      \n
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