A three machine digital twin and collaborative modeling method for fully mechanized working face

The existing coal mine equipment digital twin modeling method mainly focuses on single equipment modeling. It lacks three machine coupling collaborative relationship analysis. In order to solve the above problems, the paper puts forward three machine digital twin and collaborative modeling method fo...

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Main Authors: LIU Qing, ZHANG Long, LI Tianyue, DU Pengfei
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2023-02-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022120061
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author LIU Qing
ZHANG Long
LI Tianyue
DU Pengfei
author_facet LIU Qing
ZHANG Long
LI Tianyue
DU Pengfei
author_sort LIU Qing
collection DOAJ
description The existing coal mine equipment digital twin modeling method mainly focuses on single equipment modeling. It lacks three machine coupling collaborative relationship analysis. In order to solve the above problems, the paper puts forward three machine digital twin and collaborative modeling method for fully mechanized working face. By adopting an intelligent modeling method, the method constructs agent-based models of a coal mining machine, a hydraulic support and a scraper conveyor which comprise a sensing unit, a control unit and an execution unit. The method constructs corresponding visual models according to a three-dimensional modeling process. The method drives the three-dimensional models to move by the intelligent models. The combination of the two forms a digital twin model of three machines. A discrete event modeling method is used to construct a collaborative process model covering the interaction process of the three machine digital twin model. The three machine mining process is sorted out according to the time sequence to form a three machine collaborative process time sequence table. The digital twin model is used to describe the state and behavior of the three machines in fully mechanized mining and to simulate the calculation at the individual level. The collaborative process model is used to represent the sequential action transformation between digital twin models and realize the deduction of the whole three machine collaborative process. The simulation of rocker lifting and lowering for the digital twin model of the shearer is carried out. The simulation results show that compared with the measured data of real equipment, the model error is small, an average error of rocker arm dip angle is 2.3°. The simulation of continuous column lifting action for the digital twin model of hydraulic support is carried out. The simulation results show good consistency between the model and real equipment. Compared with the measured data of the real equipment, the average angle error is 0.14° and the average stroke error is 6.3 mm. Combined with the actual production log of the coal mine, the virtual and real simulation experiment of the three machine collaborative model is carried out. The results show that the three machine digital twin model of the fully mechanized working face and real equipment realize mutual mapping. The simulation results are close to the real records. The three machine collaborative model can accurately reflect the collaborative mining process. The method of three machine digital twin and collaborative modeling for fully mechanized working face provides a new idea for the digital twin modeling of fully mechanized coal mining equipment and its collaborative relationship.
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spelling doaj.art-73333a093de44d3d90515b1f31a38ef02023-03-17T00:55:48ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2023-02-01492475510.13272/j.issn.1671-251x.2022120061A three machine digital twin and collaborative modeling method for fully mechanized working faceLIU Qing0ZHANG Long1LI Tianyue2DU Pengfei3CCTEG Beijing Tianma Intelligent Control Technology Co., Ltd., Beijing 101399, ChinaYankuang Energy Group Company Limited, Zoucheng 273500, ChinaCCTEG Beijing Tianma Intelligent Control Technology Co., Ltd., Beijing 101399, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaThe existing coal mine equipment digital twin modeling method mainly focuses on single equipment modeling. It lacks three machine coupling collaborative relationship analysis. In order to solve the above problems, the paper puts forward three machine digital twin and collaborative modeling method for fully mechanized working face. By adopting an intelligent modeling method, the method constructs agent-based models of a coal mining machine, a hydraulic support and a scraper conveyor which comprise a sensing unit, a control unit and an execution unit. The method constructs corresponding visual models according to a three-dimensional modeling process. The method drives the three-dimensional models to move by the intelligent models. The combination of the two forms a digital twin model of three machines. A discrete event modeling method is used to construct a collaborative process model covering the interaction process of the three machine digital twin model. The three machine mining process is sorted out according to the time sequence to form a three machine collaborative process time sequence table. The digital twin model is used to describe the state and behavior of the three machines in fully mechanized mining and to simulate the calculation at the individual level. The collaborative process model is used to represent the sequential action transformation between digital twin models and realize the deduction of the whole three machine collaborative process. The simulation of rocker lifting and lowering for the digital twin model of the shearer is carried out. The simulation results show that compared with the measured data of real equipment, the model error is small, an average error of rocker arm dip angle is 2.3°. The simulation of continuous column lifting action for the digital twin model of hydraulic support is carried out. The simulation results show good consistency between the model and real equipment. Compared with the measured data of the real equipment, the average angle error is 0.14° and the average stroke error is 6.3 mm. Combined with the actual production log of the coal mine, the virtual and real simulation experiment of the three machine collaborative model is carried out. The results show that the three machine digital twin model of the fully mechanized working face and real equipment realize mutual mapping. The simulation results are close to the real records. The three machine collaborative model can accurately reflect the collaborative mining process. The method of three machine digital twin and collaborative modeling for fully mechanized working face provides a new idea for the digital twin modeling of fully mechanized coal mining equipment and its collaborative relationship.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022120061fully mechanized working faceshearerhydraulic supportscraper conveyordigital twinagent-based modelingdiscrete event modeling
spellingShingle LIU Qing
ZHANG Long
LI Tianyue
DU Pengfei
A three machine digital twin and collaborative modeling method for fully mechanized working face
Gong-kuang zidonghua
fully mechanized working face
shearer
hydraulic support
scraper conveyor
digital twin
agent-based modeling
discrete event modeling
title A three machine digital twin and collaborative modeling method for fully mechanized working face
title_full A three machine digital twin and collaborative modeling method for fully mechanized working face
title_fullStr A three machine digital twin and collaborative modeling method for fully mechanized working face
title_full_unstemmed A three machine digital twin and collaborative modeling method for fully mechanized working face
title_short A three machine digital twin and collaborative modeling method for fully mechanized working face
title_sort three machine digital twin and collaborative modeling method for fully mechanized working face
topic fully mechanized working face
shearer
hydraulic support
scraper conveyor
digital twin
agent-based modeling
discrete event modeling
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2022120061
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