Wyniki wyszukiwania - BazTech

1

Smart Field - rola zarządzania danymi w transformacji energetycznej

Luks Aneta, Dudek Jacek, Kawecki Bartłomiej

Wiadomości Naftowe i Gazownicze

|

2023

|

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

Blockchain pomaga zarządzać danymi

Technologiczny Sieć Badawcza Łukasiewicz - Poznański Instytut Technologiczny

Logistyka

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2023

|

nr 4

66--67

PL

SkeyBox oferuje zaawansowane narzędzia do zarządzania danymi. W branży logistycznej wystepują wyzwania związane z trudnościami w zarządzaniu dokumentami i wymianą informacji między różnymi podmiotami. Nierzadko napotyka się również problemy z nieefektywwnym zrządzaniem łańcuchem dostaw, brakiem przejrzystości procesów czy koordynacją działalności.

3

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

|

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.

4

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

|

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.

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

Prioritizing software capabilities and focal points of MS Access and Excel in perspective of data management

Dakhil Fattah Ali, Ali Weffa Muhammed, Reda Ali Atshan Abdul

Applied Computer Science

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2018

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Vol. 14, no 3

15--30

EN

Microsoft Corporation products have overwhelmed almost all organiza-tions around the world even beside other operating systems like UNIX, Ubuntu and others. MS Office software products in particular, have being used widely in big portion of our work and business. In specific, MS Access and Excel are very famous and so usable software in between other Microsoft office products. Many similarities are shared between Access and Excel, meanwhile, many key differences are worth to point them out, too. Mainly, this research spotlights on primarily motivated topic of how they can manage data as they have been designed for. The mission of this research is to show how to employee MS Access and Excel in the right way in business work after indicating strength and weaknesses of both of them. Thus, we need to fulfill the right and suitable enough choice between Access and Excel that meets our business work requirements. A detailed list of significant features and key points are discussed and compered of both software leads to conducted proper software use.

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

Language of benefits for digital sharing of knowledge on the open access interactive platform

Kochańska E.

Acta Innovations

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2016

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no. 20

31--42

EN

The main objective of creating the open access to databases is to develop of innovation and efficiency in all aspects of socio-economic development. The article discusses the issue of open access to public data and focuses attention on the information of the results of research, useful to entrepreneurs. Open access to the data of the R&D institutions can be practically achieved thanks to implementation of an interactive platform. The proposed platform should uses the procedure for: collecting data from individual R&D institutions websites, translating them into language of benefits, comprehensible to entrepreneurs, distributing the transformed information to the proper entrepreneurs, selected by the code of NACE. The Author tackles the topic of digital knowledge-sharing in the context of the acceleration of socio-economic development in Europe. She discusses her own proprietary software tool - an interactive platform that uses so called “the language of benefits” for transferring the scientific research results to business practice.

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

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.

15

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.

16

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.

17

Bringing introspection into BlobSeer: Towards a self-adaptive distributed data management system

Carpen-Amarie A., Costan A., Cai J., Antoniu G., Bougé L.

International Journal of Applied Mathematics and Computer Science

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2011

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Vol. 21, no 2

229-242

EN

Introspection is the prerequisite of autonomic behavior, the first step towards performance improvement and resource usage optimization for large-scale distributed systems. In grid environments, the task of observing the application behavior is assigned to monitoring systems. However, most of them are designed to provide general resource information and do not consider specific information for higher-level services. More precisely, in the context of data-intensive applications, a specific introspection layer is required to collect data about the usage of storage resources, data access patterns, etc. This paper discusses the requirements for an introspection layer in a data management system for large-scale distributed infrastructures. We focus on the case of BlobSeer, a large-scale distributed system for storing massive data. The paper explains why and how to enhance BlobSeer with introspective capabilities and proposes a three-layered architecture relying on the MonALISA monitoring framework. We illustrate the autonomic behavior of BlobSeer with a self-configuration component aiming to provide storage elasticity by dynamically scaling the number of data providers. Then we propose a preliminary approach for enabling self-protection for the BlobSeer system, through a malicious client detection component. The introspective architecture has been evaluated on the Grid'5000 testbed, with experiments that prove the feasibility of generating relevant information related to the state and behavior of the system.

18

Testo dla profesjonalistów. Wysokiej klasy rozwiązanie do pomiaru parametrów powietrza

Brodzik A.

Chłodnictwo i Klimatyzacja

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2011

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nr 10

24-24

PL

Najnowocześniejsza technologia pomiarowa oznacza szybkie i łatwe dokonywanie profesjonalnych pomiarów.

19

SLA-oriented semi-automatic management of data storage and applications in distributed environments

Król D., Funika W., Słota R., Kitowski J.

Computer Science

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2010

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Vol. 11

37-50

EN

In this paper we describe a semi-automatic programming framework for supporting users with managing the deployment of distributed applications along with storing large amounts of data in order to maintain Quality of Service in highly dynamic and distributed environments, e.g., Grid. The Polish national PL-GRID project aims to provide Polish science with both hardware and software infrastructures which will allow scientists to perform complex simulations and in-silico experiments on a scale greater than ever before. We highlight the issues and challenges related to data storage strategies that arise at the analysis stage of user requirements coming from different areas of science. Next we present a solution to the discussed issues along with a description of sample usage scenarios. At the end we provide remarks on the current status of the implementation work and some results from the tests performed.

PL

Artykuł opisuje semiautomatyczny szkielet aplikacyjny służący do wsparcia procesu wdrażania aplikacji oraz składowania dużych ilości danych w środowiskach rozproszonych z uwzględnieniem parametrów jakościowych. Projekt PL-Grid ma na celu wsparcie polskiej nauki w celu umożliwienia naukowcom przeprowadzania złożonych eksperymentów typu in-silico na skalę wiekszą niż dotychczas. W artykule zostały opisane wyzwania związane ze strategiami zarządzania wielkimi ilościami danych, zdefiniowane w fazie analizowania wymagań użytkowników projektu PL-Grid. Zostały również opisane proponowane rozwiązania omawianych problemów, opis przykładowych scenariuszy użycia oraz aktualny stan prac implementacyjnych i rezultaty przeprowadzonych testów.

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.