ES2539407R1 - Procedure for validation, error detection and correction of data from level sensors in rivers - Google Patents

Procedure for validation, error detection and correction of data from level sensors in rivers Download PDF

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Publication number
ES2539407R1
ES2539407R1 ES201301205A ES201301205A ES2539407R1 ES 2539407 R1 ES2539407 R1 ES 2539407R1 ES 201301205 A ES201301205 A ES 201301205A ES 201301205 A ES201301205 A ES 201301205A ES 2539407 R1 ES2539407 R1 ES 2539407R1
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Prior art keywords
data
correction
procedure
rivers
validation
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ES201301205A
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Spanish (es)
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ES2539407B2 (en
ES2539407A2 (en
Inventor
Miriam LÓPEZ LINEROS
Javier ESTÉVEZ GUALDA
Juan Vicente GIRÁLDEZ CERVERA
Antonio Madueño Luna
Antonio Eduardo De Barros RUANO
Pedro Miguel Frazao Fernandes FERREIRA
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Priority to ES201301205A priority Critical patent/ES2539407B2/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations

Abstract

Procedimiento para la validación, detección de errores y corrección de los datos procedentes de sensores de nivel en ríos.#La presente invención tiene por objeto un procedimiento para la validación, la detección de errores y la corrección de los datos proporcionados por los sensores de nivel de los ríos monitorizados en las cuencas hidrográficas. El procedimiento que se describe y que consta de 4 etapas (re/entrenamiento, selección de mejor dato disponible, incremento de la base de datos y presentación de datos), se ha concebido para ser implementado en un dispositivo hardware del tipo P.C., FPGA o microprocesador como un proceso recurrente, desarrollado en torno a una red neurona no lineal autoregresiva (NNAR), que es reentrenada a cada entrada de datos procedentes de los sensores, tomando para ello la base de datos validados que se está generando. El procedimiento incluye además una doble corrección, la primera considerando la naturaleza discreta de los datos que proporcionan los sensores y la segunda una corrección no causal de los mismos.Procedure for the validation, error detection and correction of data from level sensors in rivers. # The present invention aims at a procedure for the validation, error detection and correction of data provided by level sensors. of the rivers monitored in the river basins. The procedure described and consisting of 4 stages (re / training, selection of best available data, increase of the database and presentation of data), is designed to be implemented in a hardware device of the PC, FPGA or microprocessor as a recurring process, developed around an autoregressive nonlinear neuron network (NNAR), which is retrained to each input of data from the sensors, taking for it the validated database that is being generated. The procedure also includes a double correction, the first considering the discrete nature of the data provided by the sensors and the second a non-causal correction thereof.

ES201301205A 2013-12-27 2013-12-27 Procedure for validation, error detection and correction of data from level sensors in rivers Active ES2539407B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
ES201301205A ES2539407B2 (en) 2013-12-27 2013-12-27 Procedure for validation, error detection and correction of data from level sensors in rivers

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
ES201301205A ES2539407B2 (en) 2013-12-27 2013-12-27 Procedure for validation, error detection and correction of data from level sensors in rivers

Publications (3)

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ES2539407A2 ES2539407A2 (en) 2015-06-30
ES2539407R1 true ES2539407R1 (en) 2015-07-23
ES2539407B2 ES2539407B2 (en) 2016-05-17

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ES201301205A Active ES2539407B2 (en) 2013-12-27 2013-12-27 Procedure for validation, error detection and correction of data from level sensors in rivers

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030097230A1 (en) * 2001-06-18 2003-05-22 Arminch Garabedian Data sensor validation system and method
US20090113332A1 (en) * 2007-10-25 2009-04-30 Touraj Farahmand System And Method For Hydrological Analysis

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030097230A1 (en) * 2001-06-18 2003-05-22 Arminch Garabedian Data sensor validation system and method
US20090113332A1 (en) * 2007-10-25 2009-04-30 Touraj Farahmand System And Method For Hydrological Analysis

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
CHATTOPADHYAY G et al. Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach.COMPUTERS AND GEOSCIENCES, 20090901 PERGAMON PRESS, OXFORD, GB 01/09/2009 VOL: 35 No: 9 Pags: 1925 - 1932 ISSN 0098-3004 Doi: doi:10.1016/j.cageo.2008.11.007 Chen Yan. Todo el documento. *
CHATTOPADHYAY S et al. Univariate modelling of summer-monsoon rainfall time series: Comparison between ARIMA and ARNN.COMPTES RENDUS - GEOSCIENCE, 20100201 ELSEVIER, PARIS, FR 01/02/2010 VOL: 342 No: 2 Pags: 100 - 107 ISSN 1631-0713 McKey Doyle; Lézine Anne-Marie. Todo el documento. *
KASINATHAN M et al. An Artificial Neural Network approach for the discordance sensor data validation for SCRAM parameters.2009 1st International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and Their Applications : ANIMMA 2009 ; Marseille, France, 7 - 10 June 2009, 20090607 IEEE, Piscataway, NJ 07/06/2009 VOL: Pags: 1 - 5 ISBN 978-1-4244-5207-1 ; ISBN 1-4244-5207-4. Todo el documento. *
SHAMSELDIN A Y et al. Neural network river discharge forecasters: an empirical investigation of hidden unit processing functions based on two different catchments.Neural Networks, 2005. Proceedings. 2005 IEEE International Joint Conf erence on Montreal, Que., Canada 31 July-4 Aug. 2005, 20050731 Piscataway, NJ, USA,IEEE, US 31/07/2005 VOL: Pags: 2655 - 2660vol.4 ISBN 978-0-7803-9048-5 ; ISBN 0-7803-9048-2 Anonymous. Todo el documento. *

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Publication number Publication date
ES2539407B2 (en) 2016-05-17
ES2539407A2 (en) 2015-06-30

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