On-line, real-time data sources

2002 ◽  
pp. 129-152
2014 ◽  
Vol 1070-1072 ◽  
pp. 1378-1383
Author(s):  
Hong Lei Tian ◽  
Jian Feng Liu ◽  
Yong Kuan Liu ◽  
Yuan Fang ◽  
Wen Huai Chen ◽  
...  

The intelligrid-oriented on-line relay settings verification system based on EMS real-time data are discussed, with related software system designed and fulfilled. Firstly, the research background and current situation of on-line relay settings verification system are summarized. Secondly, the on-line relay settings verification system's general principle, hardware and software design are mainly discussed. And this paper shows the designed hardware structure diagram, the software structure diagram. And the flowchart of main procedure is given. Thirdly, the methods of dealing with EMS real-time data of the on-line verification system are discussed in detail. The verifying principles of sensitivity & selectivity of relay protection are given definitely. It is able to simulate two simultaneous faults, faults in network oscillation, and faults during auto-reclosing. It checks reliability & sensitivity of relay settings under these circumstances. Finally, considering substation-area and wide-area relay protections, this paper points out some key problems of on-line relay settings verification system to be resolved, and its application prospect.


1975 ◽  
Vol 23 (4) ◽  
pp. 271-279
Author(s):  
YOSHIAKI KATO ◽  
YOSHIO TAJIMA ◽  
HAJIME HAYAKAWA ◽  
ATSUSHI SHIBATA ◽  
KOUJI NISHIWAKI

2017 ◽  
Vol 10 (2) ◽  
pp. 145-165 ◽  
Author(s):  
Kehe Wu ◽  
Yayun Zhu ◽  
Quan Li ◽  
Ziwei Wu

Purpose The purpose of this paper is to propose a data prediction framework for scenarios which require forecasting demand for large-scale data sources, e.g., sensor networks, securities exchange, electric power secondary system, etc. Concretely, the proposed framework should handle several difficult requirements including the management of gigantic data sources, the need for a fast self-adaptive algorithm, the relatively accurate prediction of multiple time series, and the real-time demand. Design/methodology/approach First, the autoregressive integrated moving average-based prediction algorithm is introduced. Second, the processing framework is designed, which includes a time-series data storage model based on the HBase, and a real-time distributed prediction platform based on Storm. Then, the work principle of this platform is described. Finally, a proof-of-concept testbed is illustrated to verify the proposed framework. Findings Several tests based on Power Grid monitoring data are provided for the proposed framework. The experimental results indicate that prediction data are basically consistent with actual data, processing efficiency is relatively high, and resources consumption is reasonable. Originality/value This paper provides a distributed real-time data prediction framework for large-scale time-series data, which can exactly achieve the requirement of the effective management, prediction efficiency, accuracy, and high concurrency for massive data sources.


2020 ◽  
Author(s):  
Enrico Boldrini ◽  
Paolo Mazzetti ◽  
Stefano Nativi ◽  
Mattia Santoro ◽  
Fabrizio Papeschi ◽  
...  

<p>The WMO Hydrological Observing System (WHOS) is a service-oriented System of Systems (SoS) linking hydrological data providers and users by enabling harmonized and real time discovery and access functionalities at global, regional, national and local scale. WHOS is being realized through a coordinated and collaborative effort amongst:</p><ul><li>National Hydrological Services (NHS) willing to publish their data to the benefit of a larger audience,</li> <li>Hydrologists, decision makers, app and portal authors willing to gain access to world-wide hydrological data,</li> <li>ESSI-Lab of CNR-IIA responsible for the WHOS broker component: a software framework in charge of enabling interoperability amongst the distributed heterogeneous systems belonging to data providers (e.g. data publishing services) and data consumers (e.g. web portals, libraries and apps),</li> <li>WMO Commission of Hydrology (CHy) providing guidance to WMO Member countries in operational hydrology, including capacity building, NHSs engagement and coordination of WHOS implementation.</li> </ul><p>In the last years two additional WMO regional programmes have been targeted to benefit from WHOS, operating as successful applications for others to follow:</p><ul><li>Plata river basin,</li> <li>Arctic-HYCOS.</li> </ul><p>Each programme operates with a “view” of the whole WHOS, a virtual subset composed only by the data sources that are relevant to its context.</p><p><strong>WHOS-Plata</strong> is currently brokering data sources from the following countries:</p><ul><li>Argentina (hydrological & meteorological data),</li> <li>Bolivia (meteorological data; hydrological data expected in the near future),</li> <li>Brazil (hydrological & meteorological data),</li> <li>Paraguay (meteorological data; hydrological data in process),</li> <li>Uruguay (hydrological & meteorological data).</li> </ul><p><strong>WHOS-Arctic</strong> is currently brokering data sources from the following countries:</p><ul><li>Canada (historical and real time data),</li> <li>Denmark (historical data),</li> <li>Finland (historical and real time data),</li> <li>Iceland (historical and real time data),</li> <li>Norway (historical and real time data),</li> <li>Russian (historical and real time data),</li> <li>United States (historical and real time data).</li> </ul><p>Each data source publishes its data online according to specific hydrological service protocols and/or APIs (e.g. CUAHSI HydroServer, USGS Water Services, FTP, SOAP, REST API, OData, WAF, OGC SOS, …). Each service protocol and API in turn implies support for a specific metadata and data model (e.g. WaterML, CSV, XML , JSON, USGS RDB, ZRXP, Observations & Measurements, …).</p><p>WHOS broker implements mediation and harmonization of all these heterogeneous standards, in order to seamlessly support discovery and access of all the available data to a growing set of data consumer systems (applications and libraries) without any implementation effort for them:</p><ul><li>52North Helgoland (through SOS v.2.0.0),</li> <li>CUAHSI HydroDesktop (through CUAHSI WaterOneFlow),</li> <li>National Water Institute of Argentina (INA) node.js WaterML client (through CUAHSI WaterOneFlow),</li> <li>DAB JS API (through DAB REST API),</li> <li>USGS GWIS JS API plotting library (through RDB service),</li> <li>R scripts (through R WaterML library),</li> <li>C# applications (through CUAHSI WaterOneFlow),</li> <li>UCAR jOAI (through OAI-PMH/WIGOS metadata).</li> </ul><p>In particular, the support of WIGOS metadata standard provides a set of observational metadata elements for the effective interpretation of observational data internationally.</p><p>In addition to metadata and data model heterogeneity, WHOS needs to tackle also semantics heterogeneity. WHOS broker makes use of a hydrology ontology (made available as a SPARQL endpoint) to augment WHOS discovery capabilities (e.g. to obtain translation of a hydrology search parameter in multiple languages).</p><p>Technical documentation to exercise WHOS broker is already online available, while the official public launch with a dedicated WMO WHOS web portal is expected shortly.</p>


2000 ◽  
Vol 13 (3) ◽  
pp. 315-338 ◽  
Author(s):  
Erez Petrank ◽  
Charles Rackoff

1971 ◽  
Vol 54 (3) ◽  
pp. 620-624
Author(s):  
Larry L Alber ◽  
Mack W Overton ◽  
Donald E Smith

Abstract Salicylamide, acetaminophen, and caffeine in drug formulations can be separated and quantitatively measured by GLC. Amobarbital and cyclizine are used as internal standards; the 4’ GLC column contains 3% OV-17 on Gas Chrom Q. The signal from the KCl thermionic detector is amplified and fed directly into the analog-to-digital converter of a PDP 12A LINC System computer. Results by the computer are compared to manual peak height measurements for 6 commercial preparations injected in duplicate and to results obtained from a UV procedure.


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