ETDCS smart control using neural network technologies (Q122669): Difference between revisions

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(‎Removed claim: summary (P836): The project foresees the development and implementation of an innovative PLC for the production of an innovative powerline controller using neural network technologies. The device, in the applicant’s nomenclature, designated as the ET-DCS controller, will be used for acquisition of data, supervision and control of electricity works and industrial processes. The distinguishing feature of the product will be the possibility to accurately predict...)
(‎Created claim: summary (P836): The project includes the development and implementation of an innovative PLC using neural network technologies for the production of an innovative PLC. The device, in the Applicant’s Nomenclature marked as an ET-DCS controller, will be used for data acquisition, supervision and control of power objects, as well as industrial processes. The product’s distinguishing feature will be the ability to accurately predict the moment of failure operated b...)
Property / summary
 
The project includes the development and implementation of an innovative PLC using neural network technologies for the production of an innovative PLC. The device, in the Applicant’s Nomenclature marked as an ET-DCS controller, will be used for data acquisition, supervision and control of power objects, as well as industrial processes. The product’s distinguishing feature will be the ability to accurately predict the moment of failure operated by the controller, which will allow for appropriate preventive action. In addition, the product will be characterised by event registration with an accuracy of up to 1 ms, which will allow for an extremely accurate analysis of recorded events. In this respect, there is no equivalent on the market. (English)
Property / summary: The project includes the development and implementation of an innovative PLC using neural network technologies for the production of an innovative PLC. The device, in the Applicant’s Nomenclature marked as an ET-DCS controller, will be used for data acquisition, supervision and control of power objects, as well as industrial processes. The product’s distinguishing feature will be the ability to accurately predict the moment of failure operated by the controller, which will allow for appropriate preventive action. In addition, the product will be characterised by event registration with an accuracy of up to 1 ms, which will allow for an extremely accurate analysis of recorded events. In this respect, there is no equivalent on the market. (English) / rank
 
Normal rank
Property / summary: The project includes the development and implementation of an innovative PLC using neural network technologies for the production of an innovative PLC. The device, in the Applicant’s Nomenclature marked as an ET-DCS controller, will be used for data acquisition, supervision and control of power objects, as well as industrial processes. The product’s distinguishing feature will be the ability to accurately predict the moment of failure operated by the controller, which will allow for appropriate preventive action. In addition, the product will be characterised by event registration with an accuracy of up to 1 ms, which will allow for an extremely accurate analysis of recorded events. In this respect, there is no equivalent on the market. (English) / qualifier
 
point in time: 21 October 2020
Timestamp+2020-10-21T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 day
Before0
After0

Revision as of 10:07, 21 October 2020

Project in Poland financed by DG Regio
Language Label Description Also known as
English
ETDCS smart control using neural network technologies
Project in Poland financed by DG Regio

    Statements

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    631,240.32 zloty
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    151,497.68 Euro
    13 January 2020
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    1,039,890.08 zloty
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    249,573.62 Euro
    13 January 2020
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    60.7 percent
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    1 September 2019
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    31 May 2021
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    ENERGOTEST SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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    W ramach projektu przewidziano opracowanie i wdrożenie do produkcji innowacyjnego sterownika PLC wykorzystującego technologie sieci neuronowych. Urządzenie, w nomenklaturze Wnioskodawcy oznaczone jako sterownik ET-DCS służyć będzie od akwizycji danych, nadzoru oraz sterowania obiektami elektroenergetycznymi, a także procesami przemysłowymi. Wyróżnikiem produktu będzie możliwość precyzyjnego przewidywania momentu wystąpienia awarii obsługiwanych przez sterownik urządzeń, co umożliwi podjęcie odpowiednich działań prewencyjnych. Ponadto produkt cechować będzie rejestracja zdarzeń z dokładnością do 1 ms, co pozwoli na niezwykle dokładną analizę zapisanych zdarzeń. W wymienionym zakresie produkt nie ma odpowiednika na rynku. (Polish)
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    The project includes the development and implementation of an innovative PLC using neural network technologies for the production of an innovative PLC. The device, in the Applicant’s Nomenclature marked as an ET-DCS controller, will be used for data acquisition, supervision and control of power objects, as well as industrial processes. The product’s distinguishing feature will be the ability to accurately predict the moment of failure operated by the controller, which will allow for appropriate preventive action. In addition, the product will be characterised by event registration with an accuracy of up to 1 ms, which will allow for an extremely accurate analysis of recorded events. In this respect, there is no equivalent on the market. (English)
    21 October 2020
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    Identifiers

    RPSL.01.02.00-24-00B3/19
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