On the precision evaluation in non-linear sensor network design

The aim of this work is to provide a tool for evaluating the precision of process variable estimates in the context of the optimal design of a sensor network in chemical plants. One of the possible formulations for the optimal design of an instrumentation system for monitoring tasks is the solution...

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Detalles Bibliográficos
Autores principales:	Hernández, José Luis, Simón, Silvia, Carnero, Mercedes, Minetti, Gabriela F., Salto, Carolina
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2023
Materias:	Ciencias Informáticas Sensor Network Design optimization Monte Carlo approach variable estimates
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/164845
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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spelling	I19-R120-10915-1648452024-04-15T20:03:07Z http://sedici.unlp.edu.ar/handle/10915/164845 On the precision evaluation in non-linear sensor network design Hernández, José Luis Simón, Silvia Carnero, Mercedes Minetti, Gabriela F. Salto, Carolina 2023-10 2024 2024-04-15T17:59:17Z en Ciencias Informáticas Sensor Network Design optimization Monte Carlo approach variable estimates The aim of this work is to provide a tool for evaluating the precision of process variable estimates in the context of the optimal design of a sensor network in chemical plants. One of the possible formulations for the optimal design of an instrumentation system for monitoring tasks is the solution of nonlinear optimization problems with constraints, where the objective function is the cost of the instrument and the constraints are the observability and global precision associated with a sensor placement. When a metaheuristic approach is used to solve this problem, a methodology for computing the constraints is needed to evaluate the quality of a proposed solution. A simulation technique has been selected to solve the precision associated with a set of measurements. The simulator requires a variable classification methodology and a data reconciliation function that consists of solving another non-linear optimization. The proposed strategies have been applied to a continuous stirred tank reactor, a nonlinear problem including flows, compositions, and temperatures related by mass and energy balances. Results demonstrating the performance of the proposed metaheuristics are presented. Red de Universidades con Carreras en Informática Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 48-57
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Sensor Network Design optimization Monte Carlo approach variable estimates
spellingShingle	Ciencias Informáticas Sensor Network Design optimization Monte Carlo approach variable estimates Hernández, José Luis Simón, Silvia Carnero, Mercedes Minetti, Gabriela F. Salto, Carolina On the precision evaluation in non-linear sensor network design
topic_facet	Ciencias Informáticas Sensor Network Design optimization Monte Carlo approach variable estimates
description	The aim of this work is to provide a tool for evaluating the precision of process variable estimates in the context of the optimal design of a sensor network in chemical plants. One of the possible formulations for the optimal design of an instrumentation system for monitoring tasks is the solution of nonlinear optimization problems with constraints, where the objective function is the cost of the instrument and the constraints are the observability and global precision associated with a sensor placement. When a metaheuristic approach is used to solve this problem, a methodology for computing the constraints is needed to evaluate the quality of a proposed solution. A simulation technique has been selected to solve the precision associated with a set of measurements. The simulator requires a variable classification methodology and a data reconciliation function that consists of solving another non-linear optimization. The proposed strategies have been applied to a continuous stirred tank reactor, a nonlinear problem including flows, compositions, and temperatures related by mass and energy balances. Results demonstrating the performance of the proposed metaheuristics are presented.
format	Objeto de conferencia Objeto de conferencia
author	Hernández, José Luis Simón, Silvia Carnero, Mercedes Minetti, Gabriela F. Salto, Carolina
author_facet	Hernández, José Luis Simón, Silvia Carnero, Mercedes Minetti, Gabriela F. Salto, Carolina
author_sort	Hernández, José Luis
title	On the precision evaluation in non-linear sensor network design
title_short	On the precision evaluation in non-linear sensor network design
title_full	On the precision evaluation in non-linear sensor network design
title_fullStr	On the precision evaluation in non-linear sensor network design
title_full_unstemmed	On the precision evaluation in non-linear sensor network design
title_sort	on the precision evaluation in non-linear sensor network design
publishDate	2023
url	http://sedici.unlp.edu.ar/handle/10915/164845
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On the precision evaluation in non-linear sensor network design

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