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.
Since the 19th century, the irrigation industry on the territory of the Czech Republic has undergone considerable technological development and an increase in irrigated areas. Irrigation has become an important part of the Czech landscape. Large complex irrigation systems of tens to hundreds of km2 have been built. Towards the end of the 20th century, there was a significant decline due to the change of political regime, abolition of agricultural companies, etc. Irrigation systems and buildings were often destroyed, devastated, left without maintenance. There have also been several changes in the administrative management of the irrigation sector. The consequence was that there was no single database of irrigation systems. At present, a database of these irrigation systems is being compiled by the Research Institute for Soil and Water Conservation using geographical information systems (GIS). In connection with climate change, the threat of drought, and irregular distribution of precipitation during the growing season, and the issue of irrigation are back on trend. In this study the current state of irrigation systems in the Czech Republic was presented. In the Czech Republic, a total of 175115 ha of irrigation area has been recorded so far (of this area, about 41% is currently in functional). Selected historic irrigation structures were documented by unmanned aerial vehicles (UAV).
W związku z postępującą cyfryzacją wzrosło zapotrzebowanie na przetwarzanie informacji, a tym samym na zapewnienie ciągłości działania cyfrowej infrastruktury. W 2022 roku rynek klimatyzacji precyzyjnej dla centrów danych osiągnął wartość 3,5 mld dolarów. Szacuje się, że do 2026 roku będzie to już 6 mld dolarów.
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The regulations on the EGiB, GESUT and BDOT500 geodetic databases published in 2013 and 2015 contained a significant number of errors, which significantly hindered the process of updating the National Geodetic and Cartographic Resource, lowered the quality of cartographic materials and extended the time of performing geodetic works. The article presents some errors and their impact on the quality and content of cartographic materials. From 2021, new regulations in this area have been in force, but to a large extent they duplicate the errors and shortcomings of the regulations described in the article.
Purpose: The main purpose of the research is to devise and present a concept for a solution enabling integration of popular off-the-shelf online forms with a tool aligned with the MiRel concept used for quality measurement by application of the SERQUAL method. Design/methodology/approach: The analysis performed by the author comprised various possibilities of using standard features of popular online forms to store data for purposes of the SERVQUAL method. This involved identification of several potential layouts of the master table where the answers previously received are kept. The analysis concerned the data structure applied in the tool designed, as proposed in the literature, in accordance with the MiRel concept, to support the method in question. The elements identified in this structure were the attributes whose values should be entered directly and manually in tables as well as those whose values should be added automatically on the basis of the answers previously received. Solutions were developed to enable automatic data migration from the master table to the tool’s respective tables. Findings: The data required for purposes of the SERVQUAL analysis, supported by a tool created in a spreadsheet according to the MiRel concept, can be successfully stored by means of commonly available online forms. What proves to be problematic is the impossibility of verifying the correctness of the answers in terms of the relevance of individual dimensions, yet in this respect both the verification and potential adjustment of the answers received can be inherent in the mechanism responsible for data migration from the master table to the tool’s tables. A fully functional solution enabling data to be retrieved from the master table and moved to the tool’s tables can be developed using built-in spreadsheet features only, without the need for any code created in any programming language. Practical implications The solution proposed in the paper can be used in practice when measuring quality using the SERVQUAL method. Originality/value: The concept described in the paper is the author’s original solution.
The Automatic Identification System (AIS) device is mandatory for ships that comply with the International Convention for the Safety of Life at Sea (SOLAS). AIS is intended for vessel traffic monitoring to improve shipping safety. In the examined area, the base station received 22 128 345 messages in April 2019. Approximately 80% of these messages included position reports, which were subjected to geospatial analysis. One possible utilization of AIS messages is used in an intelligent maritime transport statistics production system called TranStat in the Gospostrateg project. This specific study compares the speed of executing geospatial queries in a relational PostgreSQL database engine and a non-relational MongoDB database engine. For the purpose of this research, we have defined four AIS datasets, four test polygons of varied number of vertices, and a reference point on a fairway. The tests were used to assess the execution of the queries in a database that returns the number of ships located in a predefined area and the number of ships located at a preset distance from the defined point. It has been determined from the test results that test queries are performed faster and data stored in the database occupy less disk space in MongoDB than in PostgreSQL. Faster geospatial analysis of AIS messages may improve the navigation safety by earlier detection of dangerous situations.
The year 2022 marks half a century since the establishment of HYDRO Bank. It is one of the most important components of the data processing system used by Polish Geological Institute which performs the duties of the state geological and hydrogeological survey. Since its conception in 1972, HYDRO Bank has been using information technology systems. Over the following years, teams of employees repeatedly modernized, expanded and updated the hydrogeological database. The information contained in the database is the basic source of data used for domestic studies in the fields of hydrogeology, cartography, environmental protection and government administration. There is another modernization planned for the upcoming years, along with continuous updates and increase in number of the collected data.
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The article shows the results of the preparatory steps taken to create the artificial intelligence used in the automatic recognition of defects in ship thin-walled structures. The above steps are used to create a university private cloud and a computer system maintaining a dataset of vibration signal samples. In the article, a prototype of the private cloud was designed and developed, a model of the vibration sample was prepared, and a microservice was designed aimed at sharing the obtained data. The article demonstrates the results of the completed development.
PL
W artykule przedstawiono wyniki przeprowadzonych działań przygotowawczych do stworzenia sztucznej inteligencji wykorzystywanej w automatycznym rozpoznawaniu defektów okrętowych konstrukcji cienkościennych. Przeprowadzone kroki służą stworzeniu uczelnianej chmury prywatnej oraz systemu informatycznego utrzymującego zbiór danych próbek sygnałów drganiowych. W ramach artykułu zaprojektowano oraz stworzono prototyp chmury prywatnej, przygotowano model próbki drganiowej oraz zaprojektowano mikroserwis służący udostępnianiu uzyskanych danych. Artykuł przedstawia wyniki wykonanej pracy.
Use of the information on groundwater collected by the Polish Hydrogeological Survey for the development of strategic, planning and other documents in the water management
An analysis is the process of browsing and searching for specific information from an entire dataset. The simplest analysis that can be performed on the data is visual analysis. However, it does not provide absolute certainty as to correctness and quality. A more advanced way of selecting required data is computer-based analysis. Analytical operations are performed on the data entered into the computer. The user defines the query, and the program performs calculations and displays the answer on the monitor screen. The aim of this publication is to conduct network analyses with the use of spatial databases. Besides focusing on the analysis as the leading research method, the paper also adopts this method to analyze the literature on the subject. In addition, the paper points to the complementary roles of the raster model and the vector model, emphasizing their coexistence. The paper shows a variety of applications of GIS analyses, from simple buffers around selected areas, through selection, and the intersection of layers, to network analyses. The high degree of advancement of GIS tools allows to build advanced models in which analyses that go beyond the original application of the collected databases can be run.
Artykuł prezentuje zasadność budowania ogólnodostępnej bazy danych dotyczącej terenów zieleni w województwie śląskim. Szczególne właściwości tych terenów w miastach województwa oraz walory społeczne, dydaktyczne, sportowe, wychowawcze, psychologiczne i inne skłaniają do określenia szerokiego dostępu do wyczerpujących danych szczególnie dla projektantów oraz osób, dla których taka baza byłaby pomocna przy podejmowaniu właściwych decyzji projektowych i administracyjnych. Omówiono główne źródła dostępnych informacji o zasobach zieleni, ich kompletność oraz kontekst prawny.
EN
The article presents the legitimacy of building a publicly available database on green areas in the Silesian Voivodeship. The special properties of these areas in the cities of the voivodeship, their social, didactic, sports, educational, psychological, and other values encourage the determination of wide access to comprehensive data, especially for designers and people for whom such a database would be helpful in making the right design and administrative decisions. The main sources of available information about green resources, their completeness and legal context were discussed.
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