Wyniki wyszukiwania - BazTech

1

Smart Field - rola zarządzania danymi w transformacji energetycznej

Luks Aneta, Dudek Jacek, Kawecki Bartłomiej

Wiadomości Naftowe i Gazownicze

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2023

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R. 26, Nr 3 (289)

10-13

PL

Przemysł naftowy przechodzi w ostatnich latach głęboką transformację zmieniając się pod względem technologicznym, głównie w zakresie cyfryzacji, gromadzenia i analizy coraz większej ilości danych. Era aplikacji w centrum zainteresowania powoli mija, ustępując miejsca nowemu podejściu umieszczającemu dane w centrum uwagi. Przykładem odpowiedzi na wyzwania, które stawia rynek jest realizowany w PGNiG Grupa Orlen projekt Smart Field, u którego podstaw leży integracja danych z wielu dziedzin. W niniejszym artykule, zaprezentowane zostało podejście do wdrożenia centralnej bazy danych w ramach projektu Smart Field, który umożliwia wykorzystanie innowacyjnych rozwiązań technologicznych w zakresie poszukiwań i wydobycia węglowodorów.

EN

Nowadays, oil and gas industry undergoes a profound transformation. The main change is connected with technology, particularly in terms of digitalization, collection and analysis of significant data volumes. The era of apps in the spotlight is slowly passing away, giving way to a new approach that puts data at the center of attention. The answer to the challenges posed by the market is the Smart Field project implemented at PGNiG Grupa Orlen, based on the integration of data from many fields. This article presents an approach to the implementation of a central database as part of the Smart Field project, which enables the use of innovative technological solutions in the field of hydrocarbon exploration and production.

2

Dedicated data management system for university didactic processes

Koczubiej Sławomir, Nowakowska Marzena, Stąpór Paweł, Świetlik Paweł

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2022

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z. 162

315--337

EN

Purpose: The objective of the work is to develop and implement the original concept of Repository of Didactic Processes Data (RDPD) for universities. The task of the Repository is to handle formally organised content in a digital form, covering resources created in connection with didactic processes, and the origin of which is a university community. These data should be: as complete as possible, available on the Internet at any time and easy to find and retrieve, stored in commonly used formats, contain a clear indication of the stored resources, without any costs for the user downloading them. Design/methodology/approach: The concept of the Repository was developed on the basis of the results of consultations with the academic community - its primary target audience. Comments from the representatives of the Repository future main users were taken into account. An analysis of the existing available repository systems in terms of their functionality, adaptability to the specificity of data, and popularity was carried out in order to select the solution that could be the foundation for RDPD. Then, the following tasks were undertaken in the environment of the selected system: adapting the data schema developed for RDPD, the implementation of the operations of loading, browsing, and searching of data, and user management. Findings: As a result of research and analyses, DSpace was proposed as the basis for the RDPD system. The logical metadata layers as well as the technical implementation of the proposed Repository in the DSpace system were elaborated. Practical implications: The implementation of the RDPD system may significantly facilitate and support the university management process. Originality/value: There are many initiatives regarding institutional repositories within the higher education sector. However, there is no institutional repository dedicated strictly to the storage and management of data generated by university educational processes. The developed repository is the solution to the problem.

3

Software outlines for decisions making support in oil and gas engineering

Chesanovskyy Mykola, Kravtsiv Kostiantyn, Protsiuk Volodymyr, Poteriailo Liudmyla

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2021

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z. 151

81--99

EN

Purpose: The aim of this study is to develop an architecture of enterprise solutions that allow real-time (or simulated) extraction, storage and analysis of parameterized data from high- resolution sensors to more accurately predict the potential course of technological processes in the industry and solving of related logistics tasks. Design/methodology/approach: The development of an integration architecture based on appropriate Web tools for viewing and collaborating on corporate information of the oil and gas industry will allow full operational decision-making on this basis, guided by the values of relevant controlled parameters and imposed on them and the process as a whole relevant constraints in general are the methodological grounds of the research from the theoretical and subject domain scope. The functionality of the artificial intelligence system should be reduced to sending signals to the controller in order to modify the controlled parameters through the appropriate instructions. At the theoretical level, measurement, interpretation and control will take place either on the surface, or on the bore, or in both places at the same time. Findings: There were explored software outlines for making possible the creation of the desired findings for new and better business processes and technological innovations in the domestic gas and oil industries based on intelligent information solutions. As proposed in this study, optimal flexibility and forward performance will only be achieved through the use of the cloud as a platform for tomorrow's technological challenges in the oil and gas industry. Originality/value: The newly developed focus on novel class of increasing domestic business efficiency will generally encourage oil and gas companies to develop their information architecture in the direction of knowledge-based systems and solutions, especially when controlling the drilling of oil and gas wells in terms of incomplete, inaccurate and poorly structured information from sensors.

4

Use of UIOT for offshore surveys through autonomous vehicles

Sanchez Pedro Jose Bernalte, Márquez Fausto Pedro García, Govindara Shashank, But Alexandru, Sportich Benjamin, Marini Simone, Jantara Valter Junior, Papaelias Mayorkinos

Polish Maritime Research

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2021

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nr 3

175--189

EN

The ENDURUNS project is a European Research project of the Horizon 2020 framework, which has as its main objective to achieve the optimum and intelligent use of green hydrogen energy for long-term ocean surveys. The ENDURUNS system comprises an Unmanned Surface Vehicle (USV) and an Autonomous Underwater Vehicle (AUV) with gliding capability. The power pack of the USV integrates Li-ion batteries with photovoltaic panels, whilst the AUV employs Li-ion batteries and a hydrogen fuel cell. It is essential to develop a continuous monitoring ca-pability for the different systems of the vehicles. Data transmission between the devices onboard presents challenges due to the volume and structure of the different datasets. A telecommunications network has been designed to manage the operational components considered in the project. The autonomous vehicles perform measurements, providing their position and other data wirelessly. The system will generate a great volume of various signals during the survey. The Remote Control Centre needs to be interfaced with the vehicles in order to receive, manage and store the acquired data. An Underwater Internet of Things (IoT) platform is designed to establish efficient and smart data management. This study presents an exhaustive survey to analyse the telecommunication systems employed in the autonomous vehicles, including the back-end, user interface and mobile units. This paper presents the novel design of the hardware and software structure of the ENDURUNS project with regard to the literature, where its components and their in-terconnection layers are detailed, which is a novel scientific and technological approach for autonomous seabed surveying in deep oceans or in coastal areas.

5

Personal data protection as an element of competitive advantage

Żywiołek Justyna, Nedeliaková Eva

System Safety : Human - Technical Facility - Environment

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2020

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Vol. 2, nr 1

55--61

EN

The article presents results of research on the information flow between the client and the company, inside the company, and the problems encountered by both parties in the data exchange process. Also included are methods of securing information through unauthorized disclosure, disclosing ideas to other clients. The basis of the study was a survey directed to 75 customers ordering in the examined enterprise and a survey among 40 employees of that enterprise. The study was also based on an in-depth conversation with employees of the examined company employed at various levels. The survey shows that the clients and employees of the surveyed company are aware of the high value of information, and its security is considered one of the priorities. The survey clearly shows that customers praise data protection activities, they treat it as an element used to care for the interests of the customer, as a further environment of the product or service they purchase. However, there are often errors due to customer ignorance, communication problems, and lack of knowledge of employees. The study covered the importance of information in an enterprise as part of its competitive advantage, the reasons for investing in information protection, the occurrence of incidents, the degree of information security, and actions taken to protect information in an enterprise.

6

Value stream mapping in the process of knowledge exchange while maintaining data security in a manufacturing company

Żywiołek Justyna

Quality Production Improvement - QPI

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2020

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Vol. 2, Iss. 1

11--18

EN

The article presents methods of mapping data, information and knowledge value stream in order to identify the flow of key processes and to return knowledge exchange in the examined company. One large production company was audited. The amount of incoming to the company and processing information is so large that it must implement methods to improve their flow. Problems with knowledge exchange associated with high rotation contributed to analyzing the problem.

7

Communication model of measuring points using a RFID gate in production logistics

Łobaziewicz M.

Research in Logistics & Production

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2017

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Vol. 7, No. 4

377--385

EN

An infrastructure of modem production systems is based on technologically advanced machines and devices. One of the important issues in this aspect is to ensure the smooth communication among elements of the industrial automation infrastructure to ensure the quality, stability and safety of a production system as well as the right identification of resources using in production processes. The article presents a model of communication between measuring points in a production system with the use of a selective RFID gate as a result of R&D project made by DataConsult Sp. o.o. The model can be scaled and applied in different manufacturing companies. It is based on the assumption of parallel and independent communication on a configuration of industrial automation components that enable to use advanced and safety solutions of data collection, processing and sharing.

8

Realizacja projektów inwestycyjno-budowlanych z wykorzystaniem Big data

Górecki J., Bizon-Górecka J., Michałkiewicz K.

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

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2017

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Vol. 26, No. 2

241--249

PL

W pracy przeanalizowano wpływ Big Data (BD) na minimalizację ryzyka projektów inwestycyjno-budowlanych. Pokazano aspekty ryzyka występujące podczas realizacji projektów, na które wyniki uzyskane z analizy BD mają znaczący wpływ. Ponadto podano wyniki badania, którego celem było poznanie opinii polskich przedsiębiorstw budowlanych na temat przydatności BD oraz weryfikacja ich gotowości do wdrożenia tego typu innowacji. Podkreślono, że wyniki płynące z analizy BD zapewniają potężne narzędzie do zarządzania ryzykiem, jednak badani respondenci tego nie doceniają.

EN

A paper focuses on analyzing the impact of Big Data (BD) on minimizing the risk in investment and construction projects. The work presents the aspects of risk occurring during the execution of the construction project. It presents an on-line survey which was aimed at knowing the opinion of Polish construction companies on the BD, and checking their readiness to implement technologies supporting manipulation of the data. It was underlined that results of the BD analysis provide a powerful tool for risk management, however, it is hardly noticed by the Polish respondents.

9

Extracting and updating data performance during bulk numerical calculations in databases

Nazdrowicz J.

International Journal of Microelectronics and Computer Science

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2016

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Vol. 7, nr 4

140--146

EN

Nowadays, more complex engineering problems need to carry out increasingly complex numerical calculations. In order to obtain the results as soon as possible, engineers must simplify the physical model on the one hand, apply appropriately efficient infrastructure to carry out calculations on the other. This infrastructure includes both hardware and software. Problems in numerical calculations in scientific applications are often caused by non-optimal front-end application code implementation or by ineffective system of scientific data management at back-end. In this article author presents some aspects of performance problems when relational database is used as backend storage. Of course, the biggest problem in numerical computation processing is that the large amount of data stored on the storage area can slow down the entire computing system and in turn directly affects the computational efficiency. Presented examples come from simulated OLTP (Online Transactional Processing) environments with large load and many queries executed. These examples can reflect real problems with data processing in numerical calculations on data extracted from MSSQL Server database with large storage system connected.

10

Rozsądne miasto 3D

Hopek G.

Geodeta : magazyn geoinformacyjny

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2016

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nr 4

40--43

11

A relational database performance considerations for numerical simulation backend storage

Nazdrowicz J.

International Journal of Microelectronics and Computer Science

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2015

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Vol. 6, nr 3

71--78

EN

Problems of effective numerical calculations in scientific applications are caused by non-optimal front-end application code or ineffective system of scientific data management at back-end. In this article author presents some aspects of performance problems when relational database is used as backend storage based on real cases. Presented examples come from simulated environments with large load and many queries executed. These examples can reflect real problems with data processing in numerical calculations on data extracted from MSSQL Server database.

12

Data analysis and management engine for signal processingData analysis and management engine for signal processing

Mąsior M., Kacprzak S.

Studia Informatica

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2014

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Vol. 35, nr 2

19--28

EN

This paper presents framework for managing analysis of scientific data. The framework was build on sole purpose of research on signal processing and speech technology but can be successfully adapted to other scientific problems.

PL

Artykuł przedstawia środowisko zarządzania analizami danych naukowych. System został stworzony na potrzeby badań nad przetwarzaniem sygnałów i technologią mowy, ale może być z powodzeniem zastosowany w innych problemach naukowych.

13

Zastosowanie rozwiązań w chmurze dla wprowadzenia firmy w technologie XXI wieku

Czermiński J.

Logistyka

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2014

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nr 3

1188--1197

PL

IT migruje od infrastruktury do chmury, a wiąże się to przede wszystkim z większą wygodą pracy, ergonomią kosztową i łatwą skalowalnością usług chmurowych. Wśród modeli chmurowych gdy próbujemy je przeanalizować to wśród argumentów za wdrożeniem, powinniśmy zwrócić uwagę na: prostotę, automatyczną skalowalność, bezpieczeństwo oraz zmniejszenie ryzyka inwestycyjnego. Rynek przetwarzania danych w chmurze w Polsce znajduje się w okresie dynamicznego wzrostu. Dotyczy do zarówno trzech głównych modeli korzystania z usługi (Saas, IaaS i PaaS),jak i modeli wdrożenia (chmury prywatnej, publicznej i hybrydowej).Dziesięciokrotny wzrost wartości tych usług wynika zarówno ze strony klientów końcowych, którzy przejawiają coraz większe zainteresowanie usługami jak i dostawców, którzy wkładają w edukację o tym rynku coraz większe środki proponują wiele promocyjnych działań w celu rozpropagowania tej usługi.

EN

IT migrates from the infrastructure to the cloud, and it involves, first and foremost, with greater convenience, ergonomics and easy solution scalability of cloud-based services. Among the cloud-based models when we analyzed it among the arguments for the implementation, we should pay attention to: simplicity, automatic scalability, security, and reduce investment risks. Cloud computing market in Poland is in a period of dynamic growth. Applies to both the three main models of service (Saas, IaaS and PaaS), as well as implementation models (a private cloud, and hybrid).Tenfold increase in the value of these services stems from both the end customers who show growing interest in services and providers, who put in education about this market more and more resources offer a number of promotional activities in order to raise awareness of this service.

14

Data storage management using AI methods

Funika W., Szura P.

Computer Science

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2013

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Vol. 14 (2)

177--190

EN

Data management and monitoring is an important issue in scientific computation. Scientists want to access their data as quickly as possible. Some experiments need to store a lot of data which have to be secure. By saying this we mean that this data can not disappear or be damaged also the data storage should be as cheap as possible. In this paper we present an approach to the automation of monitoring and management of data storage. We introduce a knowledge based system which is able to manage data, i.e., make decisions on migrating data, replicating or removing it. We discuss some of the existing solutions which are popular on the market. In this paper we aim to present our system which uses such AI techniques like fuzzy logic or a rule-based expert system to deal with data storage management. We exploit in this system a cost model to analyze the proposed solutions. The operations performed by our system are aimed to optimize the usage of the monitored infrastructure.

15

Design Model and Data Management for 3D IC Development

Grunewald W., Hahn K., Bruck R. R.

International Journal of Microelectronics and Computer Science

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2012

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Vol. 3, nr 3

88-94

EN

The development of 3D systems is a highly complex procedure. Next to a huge variation of possibilities on how to vertically integrate two or more dies, a lot of aspects regarding cost, design and application specific selection of technology have to be considered. Therefore a design model will be presented, that considers the mutual influence of design and process technology during the integration flow development. The design model has been implemented in a software system. To be able to develop integration flows, complex technology information is needed, which results in the necessity of a data management with usage of a technology database.

16

Towards implementing virtual data infrastructures - a case study with iRODS

Roblitz T.

Computer Science

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2012

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Vol. 13 (4)

21-33

EN

Scientists demand easy-to-use, scalable and flexible infrastructures for sharing, managing and processing their data spread over multiple resources accessible via different technologies and interfaces. In our previous work, we developed the conceptual framework VISPA for addressing these requirements. This paper provides a case study assessing the integrated Rule-Oriented Data System (iRODS) for implementing the key concepts of VISPA. We found that iRODS is already well suited for handling metadata and sharing data. Although it does not directly support provenance information of data and the temporal provisioning of data, basic forms of these capabilities may be provided through its customization mechanisms, ie rules and micro-services.

17

Analiza architektur zarządzania danymi w warunkach rozproszenia geograficznego

Kowalski P., Harężlak K.

Studia Informatica

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2011

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Vol. 32, nr 2A

47-60

PL

W artykule przeprowadzono dyskusję architektonicznych i funkcjonalnych problemów, pojawiających się przy projektowaniu szeroko rozumianych systemów rozproszonych. Zaprezentowano różne, możliwe do zastosowania w tym celu, architektury. Wśród nich znalazły się architektury dwu– i trójwarstwowe, architektura oparta na usługach sieciowych oraz architektura wykorzystująca replikację danych. Dla każdego z rozwiązań omówiono jego wady i zalety.

EN

The analysis of functional and architectural issues which appear during distributed system designing was discussed in the paper. Various, possible architectures, which can be used in such systems, were also shown. Among them, there can be enumerated two– and three–layered architectures, architectures based on web services and architectures utilizing data replication. Advantages and disadvantages of all of them were presented as well.

18

System zarządzania danymi stacji elektroenergetycznej

Makowski L., Miedziński B.

Mechanizacja i Automatyzacja Górnictwa

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2011

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R. 49, nr 7

3-14

PL

W artykule omówiono strukturę, opis elementów oraz sposób działania elektronicznej relacyjnej bazy danych Microsoft Access zaprojektowanej i opracowanej w celu wprowadzenia sprawnie działającego systemu informacji do zarządzania danymi stacji elektroenergetycznej. System ten jest efektem przemyśleń autorów na podstawie wieloletnich doświadczeń zawodowych w tym zakresie.

EN

The article describes the structure, elements and operating method of a Microsoft Access electronic hierarchical data- base developed with a view to launch an efficient information system for managing the data of an electric power substation. The system is a result of the authors' analyses based on many years of professional experience in this matter.

19

Brzeźniak M., Meyer N., Mikołajczak R., Jankowski G., Jankowski M.

Computational Methods in Science and Technology

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2010

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Vol. spec. iss. (1)

109-118

EN

This paper presents the popular backup/archival service developed and operated in Poland by members of the PIONIER network consortium and its example application for outsourcing of the archival of the network traffic in the national academic network. The service is built upon the National Data Storage (NDS) system architecture deployed in the redundant, high-end, geographically distributed infrastructure of servers, network and data storage systems built within the confines of the PLATON project. The details of the NDS architecture and its features are discussed in the paper including the system components, their functionality and the system scalability aspects. The paper also presents how the NDS architecture is deployed in the data storage infrastructure of the PLATON project, with an extensive usage of servers and storage virtualization technologies. We discuss how the NDS system instantiation allows for flexible set up of the multiple instances of the popular backup/archival service, which can address various, often contradictory requirements of the service users, while sharing a common pool of physical resources. As an example the system set up for outsourcing the archival of the PIONIER network traffic is presented.

20

Zastosowanie systemu zarządzania danymi pomiarowymi ElektrowizŽ w diagnostyce generatorów elektroenergetycznych

Zubielik P., Lawenda M., Pietrzak K.

Pomiary Automatyka Kontrola

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2009

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R. 55, nr 1

63-64

PL

Zarządzanie dużą ilością danych w diagnostyce elektroenergetycznej powoduje problemy, z którymi może poradzić sobie tylko odpowiedni system informatyczny. W Zakładzie Izolacji Instytutu Energetyki został opracowany system ElektrowizŽ. Umożliwia on składowanie wyników pomiarów dotyczących wyładowań niezupełnych w izolacji generatorów w elektrowniach. Dzięki możliwości porównania wykresów dla różnych generatorów możliwe jest ustalenie stopnia degradacji izolacji stojanów, a co jest z tym związane - kolejności ich remontów. Wielowarstwowa architektura systemu umożliwia dostęp do danych niezależnie od miejsca przebywania użytkownika.

EN

Management of a large amount of data in electrical power engineering diagnostics can cause a lot of troubles which can be managed by a dedicated computer system. To facilitate measurement data management which are gathered in the Institute of Power Engineering - Insulation Department a special system called ElektrowizŽ was developed. It allows storing measurement results which concern partial discharges in insulation of turbo- and hydro-generators in power stations. Thanks to the possibility of comparing charts for different generators, it is possible to estimate degree of stator insulation deterioration. Multilayer architecture of the system allows access to the gathered data independently of the user localization. In order to estimate the isolation degradation degree in a turbogenerator winding at different exploitation stages, the periodic measurement was introduced. It takes into consideration registration of partial discharge intensity, computational analysis and classification of effects. This method allows discovering discharge sources, their type and location. The ElektrowizŽ system allows speeding up computations and archiving measurement results within the wide range of parameters. The system architecture enables the access independently of the user location.