Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop

Paving thickness and evenness are two key factors that affect the paving operation quality of earth-rock dams. However, in the recent study, both of the key factors characterising the paving quality were measured using finite point random sampling, which resulted in subjectivity in the detection and...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng Wang, Jiajun Wang, Wenlong Chen, Jia Yu, Zheng Jiao, Hongling Yu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	paving quality control quality assessment OODA loop cellular learning automaton dynamic path planning Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/17872088a8304b47a4b4cf9fcfb17276
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:17872088a8304b47a4b4cf9fcfb17276
record_format	dspace
spelling	oai:doaj.org-article:17872088a8304b47a4b4cf9fcfb172762021-11-25T18:59:03ZAssessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop10.3390/s212277561424-8220https://doaj.org/article/17872088a8304b47a4b4cf9fcfb172762021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7756https://doaj.org/toc/1424-8220Paving thickness and evenness are two key factors that affect the paving operation quality of earth-rock dams. However, in the recent study, both of the key factors characterising the paving quality were measured using finite point random sampling, which resulted in subjectivity in the detection and a lag in the feedback control. At the same time, the on-site control of the paving operation quality based on experience results in a poor and unreliable paving quality. To address the above issues, in this study, a novel assessment and feedback control framework for the paving operation quality based on the observe–orient–decide–act (OODA) loop is presented. First, in the observation module, a cellular automaton is used to convert the location of the bulldozer obtained by monitoring devices into the paving thickness of the levelling layer. Second, in the orient module, the learning automaton is used to update the state of the corresponding and surrounding cells. Third, in the decision module, an overall path planning method is developed to realise feedback control of the paving thickness and evenness. Finally, in the act module, the paving thickness and evenness of the entire work unit are calculated and compared to their control thresholds to determine whether to proceed with the next OODA loop. The experiments show that the proposed method can maintain the paving thickness less than the designed standard value and effectively prevent the occurrence of ultra-thick or ultra-thin phenomena. Furthermore, the paving evenness is improved by 21.5% as compared to that obtained with the conventional paving quality control method. The framework of the paving quality assessment and feedback control proposed in this paper has extensive popularisation and application value for the same paving construction scene.Cheng WangJiajun WangWenlong ChenJia YuZheng JiaoHongling YuMDPI AGarticlepavingquality controlquality assessmentOODA loopcellular learning automatondynamic path planningChemical technologyTP1-1185ENSensors, Vol 21, Iss 7756, p 7756 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	paving quality control quality assessment OODA loop cellular learning automaton dynamic path planning Chemical technology TP1-1185
spellingShingle	paving quality control quality assessment OODA loop cellular learning automaton dynamic path planning Chemical technology TP1-1185 Cheng Wang Jiajun Wang Wenlong Chen Jia Yu Zheng Jiao Hongling Yu Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop
description	Paving thickness and evenness are two key factors that affect the paving operation quality of earth-rock dams. However, in the recent study, both of the key factors characterising the paving quality were measured using finite point random sampling, which resulted in subjectivity in the detection and a lag in the feedback control. At the same time, the on-site control of the paving operation quality based on experience results in a poor and unreliable paving quality. To address the above issues, in this study, a novel assessment and feedback control framework for the paving operation quality based on the observe–orient–decide–act (OODA) loop is presented. First, in the observation module, a cellular automaton is used to convert the location of the bulldozer obtained by monitoring devices into the paving thickness of the levelling layer. Second, in the orient module, the learning automaton is used to update the state of the corresponding and surrounding cells. Third, in the decision module, an overall path planning method is developed to realise feedback control of the paving thickness and evenness. Finally, in the act module, the paving thickness and evenness of the entire work unit are calculated and compared to their control thresholds to determine whether to proceed with the next OODA loop. The experiments show that the proposed method can maintain the paving thickness less than the designed standard value and effectively prevent the occurrence of ultra-thick or ultra-thin phenomena. Furthermore, the paving evenness is improved by 21.5% as compared to that obtained with the conventional paving quality control method. The framework of the paving quality assessment and feedback control proposed in this paper has extensive popularisation and application value for the same paving construction scene.
format	article
author	Cheng Wang Jiajun Wang Wenlong Chen Jia Yu Zheng Jiao Hongling Yu
author_facet	Cheng Wang Jiajun Wang Wenlong Chen Jia Yu Zheng Jiao Hongling Yu
author_sort	Cheng Wang
title	Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop
title_short	Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop
title_full	Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop
title_fullStr	Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop
title_full_unstemmed	Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop
title_sort	assessment and feedback control of paving quality of earth-rock dam based on ooda loop
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/17872088a8304b47a4b4cf9fcfb17276
work_keys_str_mv	AT chengwang assessmentandfeedbackcontrolofpavingqualityofearthrockdambasedonoodaloop AT jiajunwang assessmentandfeedbackcontrolofpavingqualityofearthrockdambasedonoodaloop AT wenlongchen assessmentandfeedbackcontrolofpavingqualityofearthrockdambasedonoodaloop AT jiayu assessmentandfeedbackcontrolofpavingqualityofearthrockdambasedonoodaloop AT zhengjiao assessmentandfeedbackcontrolofpavingqualityofearthrockdambasedonoodaloop AT honglingyu assessmentandfeedbackcontrolofpavingqualityofearthrockdambasedonoodaloop
_version_	1718410448715382784

Assessment and Feedback Control of Paving Quality of Earth-Rock Dam Based on OODA Loop

Ejemplares similares