Borehole Data Management System: a web interface for borehole data acquisition

Author(s):  
Massimiliano Cannata ◽  
Milan Antonovic ◽  
Nils Oesterling ◽  
Sabine Brodhag

<p>The shallow underground is of primary importance in governing and planning the territories where we live. In fact, the uppermost 500 meters below the ground surface are interested by a growing number of anthropic activities like constructions, extraction of drinking water, mineral resources, installation of geothermal probes, etc. Borehole data are therefore essential as they reveal at specific location the vertical sequence of geological layers which in turns can provide an understanding of the geological conditions we can expect in the shallow underground. Unfortunately, data are rarely available in a <em>FAIR way</em> that as the acronym specify are Findable, Accessible, Interoperable and Reusable.</p><p>Most of the time data, particularly those collected in the past, are in the form of <strong>static data reports</strong> that describe the stratigraphy and the related characteristics; these data types are generally available as paper documents, or static files like .pdf of images (.ai). While very informative, these documents are not searchable, not interoperable nor easily reusable, since they require a non negligible time for data integration. Sometime, <strong>data are archived into database</strong>. This certainly improve the find-ability of the data and its accessibility but still do not address the interoperability requirement and therefore, combining data from different sources remain a problematic task. To enable FAIR borehole data and facilitate the different entities (public or private) management swisstopo (www.swisstopo.ch) has funded the development of a Web application named Borehole Data Management System (BDMS) [1] that adopt the <strong>borehole data model</strong> () [2] implemented by the Swiss Geological Survey.</p><p>Among the benefits of adopting a standard model we can identify:</p><ul><li>Enhance the exchange, the usage and quality of the data</li> <li>Reach data harmonization (level of detail, precise definitions, relationships and dependencies among the data),</li> <li>Establish a common language between stakeholders</li> </ul><p>The Borehole Data Management System (BDMS)  was developed using the latest Free and Open Source Technologies. The new application integrates some of the today’s best OSGeo projects and is available as a modular open source solution on GitHub and ready to use in a docker container available on Docker Hub. Through two types of authorization, <em>Explorer </em>users are able to search the BDMS for specific boreholes, navigate a configurable user friendly map, apply filters, explore the stratigraphy layers of each borehole and export all the data in Shapefiles, CSV or PDF. <em>Editors</em> are able to manage in details the informations and publish the results after passing a validation process.</p><p> </p><p>Links</p><p>[1] http://geoservice.ist.supsi.ch/docs/bdms/index.html</p><p>[2] https://www.geologieportal.ch/en/knowledge/lookup/data-models/borehole-data-model.html </p>

2021 ◽  
Author(s):  
Milan Antonovic ◽  
Massimiliano Cannata ◽  
Nils Oesterling ◽  
Sabine Brodhag

<p>Most of the time boreholes data, particularly those collected in the past, are in the form of static data reports that describe the stratigraphy and the related characteristics; these data types are generally available as paper documents, or static files like .pdf of images (.ai). While very informative, these documents are not searchable, not interoperable nor easily reusable, since they require a non negligible time for data integration. Sometime, data are archived into database. This certainly improve the find-ability of the data and its accessibility but still do not address the interoperability requirement and therefore, combining data from different sources remain a problematic task. To enable FAIR borehole data and facilitate the different entities (public or private) management Swisstopo (www.swisstopo.ch) has funded the development of a Web application named Borehole Data Management System (BDMS) [1] that adopt the borehole data model () [2] implemented by the Swiss Geological Survey. From the first beta release (2019) several improvements to the platform has been implemented leading to the last official release of the platform (v1.0.2) officially available on www.swissforages.ch. The latest released features includes:</p><ul><li>Borehole document storage</li> <li>Interface customization</li> <li>Improved access & authorization managemnt</li> <li>External WMS/WMTS background map support</li> <li>User feedbacks form</li> <li>Handling of personalized and versioned terms of service</li> <li>Enhanced bulk data import</li> <li>Minor enhancements and bug fixes</li> </ul><p><img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.47de8bb6070061123701161/sdaolpUECMynit/12UGE&app=m&a=0&c=ed4706d00e320d6aacebe59534e52363&ct=x&pn=gnp.elif&d=1" alt=""></p><p> </p>


Author(s):  
A. V. Vo ◽  
D. F. Laefer ◽  
M. Trifkovic ◽  
C. N. L. Hewage ◽  
M. Bertolotto ◽  
...  

Abstract. The massive amounts of spatio-temporal information often present in LiDAR data sets make their storage, processing, and visualisation computationally demanding. There is an increasing need for systems and tools that support all the spatial and temporal components and the three-dimensional nature of these datasets for effortless retrieval and visualisation. In response to these needs, this paper presents a scalable, distributed database system that is designed explicitly for retrieving and viewing large LiDAR datasets on the web. The ultimate goal of the system is to provide rapid and convenient access to a large repository of LiDAR data hosted in a distributed computing platform. The system is composed of multiple, share-nothing nodes operating in parallel. Namely, each node is autonomous and has a dedicated set of processors and memory. The nodes communicate with each other via an interconnected network. The data management system presented in this paper is implemented based on Apache HBase, a distributed key-value datastore within the Hadoop eco-system. HBase is extended with new data encoding and indexing mechanisms to accommodate both the point cloud and the full waveform components of LiDAR data. The data can be consumed by any desktop or web application that communicates with the data repository using the HTTP protocol. The communication is enabled by a web servlet. In addition to the command line tool used for administration tasks, two web applications are presented to illustrate the types of user-facing applications that can be coupled with the data system.


2015 ◽  
Vol 49 (2) ◽  
pp. 135-150 ◽  
Author(s):  
JingHuey Khor ◽  
Widad Ismail ◽  
Mohd Nasir Md Rashid ◽  
A. Akla Wan Ismail ◽  
Muhammad Qayum Omar ◽  
...  

Purpose – Universiti Sains Malaysia (USM) uses different detection technologies and integrated library systems (ILS) at its four libraries located at different sites. Hence, ubiquitous data management system is required in the four libraries to enable real-time data sharing and tracking among the libraries. The paper aims to discuss these issues. Design/methodology/approach – Proof of concept is used to verify the performance of integration between different detection technologies including barcode, high frequency (HF) and ultra high frequency (UHF) radio frequency identification (RFID) as well as Integrated Library Management Utility (ILMU) and Koha ILSs. Five pilot tests are performed to investigate the speed of the borrowing and returning transactions, the efficiency of security gate to detect non-borrowed items, and the reliability of the ubiquitous data management system. Findings – The HF RFID technology and the proprietary library system have been used in many libraries. The current study proves that the integration of the UHF RFID technology and the Koha open-source ILS, which is named as Total Open-Source Library Automation Solution, can be a novel solution and can serve as a guide for other libraries. Originality/value – In the current phase of library data management system, it is common to integrate various technologies in improving the efficiency of the library system. But, the combination of Koha with UHF RFID into a single ILS for intra-library automation system has not been proven. This shows the importance of the proposed proven proof of concept that proves such integration is suitable to be implemented at USM libraries and other libraries.


Author(s):  
N. Fumai ◽  
C. Collet ◽  
M. Petroni ◽  
K. Roger ◽  
E. Saab ◽  
...  

Abstract A Patient Data Management System (PDMS) is being developed for use in the Intensive Care Unit (ICU) of the Montreal Children’s Hospital. The PDMS acquires real-time patient data from a network of physiological bedside monitors and facilitates the review and interpretation of this data by presenting it as graphical trends, charts and plots on a color video display. Due to the large amounts of data involved, the data storage and data management processes are an important task of the PDMS. The data management structure must integrate varied data types and provide database support for different applications, while preserving the real-time acquisition of network data. This paper outlines a new data management structure which is based primarily on OS/2’s Extended Edition relational database. The relational database design is expected to solve the query shortcomings of the previous data management structure, as well as offer support for security and concurrency. The discussion will also highlight future advantages available from a network implementation.


2010 ◽  
Vol 145 ◽  
pp. 443-448 ◽  
Author(s):  
Ying Hu ◽  
Xiao Hong Hao ◽  
Qing Xue Huang ◽  
Qiu Shu Wang ◽  
Shao Zhen Jin ◽  
...  

For establishing an automatic process control and management system of leveler, we need to combine the software of the automatic process control and the software of real-time data management system. This article introduces something about the Leveling automatic process model, which include software’s structure, configuration, working principle and achievement. What's more, this system achieved the data management of leveling process and introduced the system configuration, functional structure. The whole system has been applied in multiple leveler and obtained good results, improving the system automation and straightening accuracy.


2019 ◽  
Vol 214 ◽  
pp. 04054
Author(s):  
Martin Barisits ◽  
Thomas Beermann ◽  
Joaquin Bogado ◽  
Vincent Garonne ◽  
Tomas Javurek ◽  
...  

Rucio, the distributed data management system of the ATLAS experiment already manages more than 400 Petabytes of physics data on the grid. Rucio was incrementally improved throughout LHC Run-2 and is currently being prepared for the HL-LHC era of the experiment. Next to these improvements the system is currently evolving into a full-scale generic data management system for application beyond ATLAS, or even beyond high-energy physics. This contribution focuses on the development roadmap of Rucio for LHC Run-3, such as event level data management, generic meta-data support and increased usage of networks and tapes. At the same time Rucio is evolving beyond the original ATLAS requirements. This includes additional authentication mechanisms, generic database compatibility, deployment and packaging of the software stack in containers, and a project paradigm shift to a full-scale open source project..


2014 ◽  
Vol 12 ◽  
pp. S24
Author(s):  
Angus Joyce ◽  
Sarah Aldugman ◽  
Thomas Bottomley ◽  
Natasha Castellino ◽  
Pavlos Christodoulo ◽  
...  

2013 ◽  
Vol 712-715 ◽  
pp. 2631-2634
Author(s):  
Dan Shao ◽  
Hai Tao Liu ◽  
Hong Yu Chen

In order to solve the problems of failing to record, query, count and manage the production process data caused by the domestic industrial furnace industry configuration interface only focusing on the real-time data and status monitoring and control of the input parameters, this paper introduces an industrial furnace data management system based on WinCC user archive, and describes the systems principle, process and characteristics applications. This paper makes use of an industrial furnace data management system based on WinCC user archive to record the production process data, and query, count, manage and obtain the temperature curve, and help to improve production efficiency and production quality control, which have some promotional value.


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