Q2706496 (Q2706496): Difference between revisions
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(Created claim: summary (P836): The aim of the project is to develop a system of data acquisition and pre-fault solutions for environmental infrastructure facilities, with a particular focus on the water-channel segment. Systems for the water sector are currently available, but the market offer in this segment has a number of shortcomings that are to be addressed during the implementation of this project. The aim of this project is to prepare an innovative offer that will be f...) |
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The aim of the project is to develop a system of data acquisition and pre-fault solutions for environmental infrastructure facilities, with a particular focus on the water-channel segment. Systems for the water sector are currently available, but the market offer in this segment has a number of shortcomings that are to be addressed during the implementation of this project. The aim of this project is to prepare an innovative offer that will be free from the shortcomings of existing systems: 1. Providing pre-fault information for both devices and system components through the use of artificial intelligence (AI). Artistic Intelligence) in the field of machine learning data from devices and software modules. 2. Development of a full range of devices adapted to climate change by designing new enclosures that meet the environmental standard IP68, with particular emphasis on the effects of climate change resulting in frequent flooding of housings and long-term underwater storage. 3. Preparation of products based on the principles of user-oriented design, including, in particular, identification, configuration and service: equipping devices with NFC tags and BlueTooth lowenergy radio communication, allowing customers to identify them using smartphones and a dedicated application. The NFC tag allows you to identify the device from a distance of approx. 15 mm, also in the absence of power, BLE allows you to identify the device from a few meters, which is especially valuable for devices located in sewer wells or other places with difficulty access. 4. Development of a full, comprehensive offer covering both devices and web application for receiving, collecting, aggregating and presenting data for customers, including pre-fault data. The project will be implemented in partnership by Inventia Sp. z o.o. and the Institute of Automation and Robotics (Warsaw University of Technology) (English) | |||||||||||||||
Property / summary: The aim of the project is to develop a system of data acquisition and pre-fault solutions for environmental infrastructure facilities, with a particular focus on the water-channel segment. Systems for the water sector are currently available, but the market offer in this segment has a number of shortcomings that are to be addressed during the implementation of this project. The aim of this project is to prepare an innovative offer that will be free from the shortcomings of existing systems: 1. Providing pre-fault information for both devices and system components through the use of artificial intelligence (AI). Artistic Intelligence) in the field of machine learning data from devices and software modules. 2. Development of a full range of devices adapted to climate change by designing new enclosures that meet the environmental standard IP68, with particular emphasis on the effects of climate change resulting in frequent flooding of housings and long-term underwater storage. 3. Preparation of products based on the principles of user-oriented design, including, in particular, identification, configuration and service: equipping devices with NFC tags and BlueTooth lowenergy radio communication, allowing customers to identify them using smartphones and a dedicated application. The NFC tag allows you to identify the device from a distance of approx. 15 mm, also in the absence of power, BLE allows you to identify the device from a few meters, which is especially valuable for devices located in sewer wells or other places with difficulty access. 4. Development of a full, comprehensive offer covering both devices and web application for receiving, collecting, aggregating and presenting data for customers, including pre-fault data. The project will be implemented in partnership by Inventia Sp. z o.o. and the Institute of Automation and Robotics (Warsaw University of Technology) (English) / rank | |||||||||||||||
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Property / summary: The aim of the project is to develop a system of data acquisition and pre-fault solutions for environmental infrastructure facilities, with a particular focus on the water-channel segment. Systems for the water sector are currently available, but the market offer in this segment has a number of shortcomings that are to be addressed during the implementation of this project. The aim of this project is to prepare an innovative offer that will be free from the shortcomings of existing systems: 1. Providing pre-fault information for both devices and system components through the use of artificial intelligence (AI). Artistic Intelligence) in the field of machine learning data from devices and software modules. 2. Development of a full range of devices adapted to climate change by designing new enclosures that meet the environmental standard IP68, with particular emphasis on the effects of climate change resulting in frequent flooding of housings and long-term underwater storage. 3. Preparation of products based on the principles of user-oriented design, including, in particular, identification, configuration and service: equipping devices with NFC tags and BlueTooth lowenergy radio communication, allowing customers to identify them using smartphones and a dedicated application. The NFC tag allows you to identify the device from a distance of approx. 15 mm, also in the absence of power, BLE allows you to identify the device from a few meters, which is especially valuable for devices located in sewer wells or other places with difficulty access. 4. Development of a full, comprehensive offer covering both devices and web application for receiving, collecting, aggregating and presenting data for customers, including pre-fault data. The project will be implemented in partnership by Inventia Sp. z o.o. and the Institute of Automation and Robotics (Warsaw University of Technology) (English) / qualifier | |||||||||||||||
point in time: 7 July 2021
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Revision as of 20:31, 7 July 2021
Project Q2706496 in Poland
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English | No label defined |
Project Q2706496 in Poland |
Statements
2,243,152.92 zloty
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3,266,080.1 zloty
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68.68 percent
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1 December 2019
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31 August 2021
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INVENTIA SP. Z O.O.
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Celem projektu jest opracowanie system akwizycji danych oraz rozwiązań przedusterkowych obiektów infrastruktury środowiskowej ze szczególnym uwzględnieniem segmentu wod-kan . Systemy dla sektora wod-kan są obecnie dostępne, jednak oferta rynkowa w tym segmencie ma szereg mankamentów, które w trakcie realizacji niniejszego projektu mają być wyeliminowane. Przedmiotowy projekt ma na celu przygotowanie innowacyjnej oferty, która będzie wolna od mankamentów dotychczasowych systemów: 1. Udostępnienie informacji przedusterkowej zarówno urządzeń jak i komponentów systemu, poprzez wykorzystanie sztucznej inteligencji (ang. Artificial Intelligence) w zakresie maszynowego uczenia się danych z urządzeń oraz modułów oprogramowania. 2. Opracowanie pełnej oferty urządzeń przystosowanych do zmian klimatycznych poprzez zaprojektowanie nowych obudów spełniających normę środowiskową IP68 za szczególnym uwzględnieniem skutków zmian klimatycznych skutkujących częstym zalewaniem obudów i długotrwałym ich przebywaniem pod wodą. 3. Przygotowanie produktów w oparciu o zasady projektowania zorientowanego na użytkownika w tym w szczególności w zakresie identyfikacji, konfiguracji i ich serwisu: wyposażenie urządzeń w znaczniki NFC oraz łączność radiową BlueTooth LowEnergy , co pozwoli klientom na ich identyfikację z wykorzystaniem smartfonów i dedykowanej aplikacji. Znacznik NFC pozwala zidentyfikować urządzenie z odległości ok. 15 mm, również przy braku zasilania, BLE pozwala zidentyfikować urządzenie z kilku metrów, co jest szczególnie cenne dla urządzeń umieszczonych w studzienkach kanalizacyjnych lub innych miejscach z utrudnionym dostępem. 4. Opracowanie pełnej, kompleksowej oferty obejmującej zarówno urządzenia jak i aplikację WEBową do przyjmowania, gromadzenia, agregacji i prezentacji danych dla klientów, w tym również danych przedusterkowych. Projekt będzie realizowany w partnerstwie przez Inventia Sp. z o.o. oraz Instytut Automatyki i Robotyki (Politechnika Warszaw (Polish)
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The aim of the project is to develop a system of data acquisition and pre-fault solutions for environmental infrastructure facilities, with a particular focus on the water-channel segment. Systems for the water sector are currently available, but the market offer in this segment has a number of shortcomings that are to be addressed during the implementation of this project. The aim of this project is to prepare an innovative offer that will be free from the shortcomings of existing systems: 1. Providing pre-fault information for both devices and system components through the use of artificial intelligence (AI). Artistic Intelligence) in the field of machine learning data from devices and software modules. 2. Development of a full range of devices adapted to climate change by designing new enclosures that meet the environmental standard IP68, with particular emphasis on the effects of climate change resulting in frequent flooding of housings and long-term underwater storage. 3. Preparation of products based on the principles of user-oriented design, including, in particular, identification, configuration and service: equipping devices with NFC tags and BlueTooth lowenergy radio communication, allowing customers to identify them using smartphones and a dedicated application. The NFC tag allows you to identify the device from a distance of approx. 15 mm, also in the absence of power, BLE allows you to identify the device from a few meters, which is especially valuable for devices located in sewer wells or other places with difficulty access. 4. Development of a full, comprehensive offer covering both devices and web application for receiving, collecting, aggregating and presenting data for customers, including pre-fault data. The project will be implemented in partnership by Inventia Sp. z o.o. and the Institute of Automation and Robotics (Warsaw University of Technology) (English)
7 July 2021
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Identifiers
RPMA.01.02.00-14-B519/18
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