Optimal deployment of the online monitoring equipment at the edges of substations considering spatial constraint

To realize the optimal deployment of online monitoring equipment at the edges of substations under the cloud-edge collaboration framework, an optimal deployment model of edges considering spatial constraints is proposed. In the model, the constraints including edge deployment point, line of sight, a...

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Vydáno v:Advances in mechanical engineering Ročník 16; číslo 5
Hlavní autoři: Xu, Wenxiang, Tong, Shaocong, Xu, Shimin, Du, Baigang, Liu, Dezheng, Qin, Tao
Médium: Journal Article
Jazyk:angličtina
Vydáno: London, England SAGE Publications 01.05.2024
Sage Publications Ltd
SAGE Publishing
Témata:
Algorithms
Archives & records
Clustering
Greedy algorithms
Markov analysis
Markov chains
Monitoring
Monitoring systems
Polynomials
Simulated annealing
Substations
Online monitoring equipment
edges of substations
optimal deployment
improved trending Markov chain
multi-objective simulated annealing algorithm
ISSN:1687-8132, 1687-8140
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Abstract To realize the optimal deployment of online monitoring equipment at the edges of substations under the cloud-edge collaboration framework, an optimal deployment model of edges considering spatial constraints is proposed. In the model, the constraints including edge deployment point, line of sight, as well as device pose, etc. are taken into account. To achieve the one-to-many collection of the deployed equipment, a mathematical model is constructed with the objectives of minimizing the shooting distance and the number of edge equipments. And an archive based multi-objective simulated annealing algorithm based on improved trending Markov chain (IAMOSA) is proposed to solve the problem. This algorithm utilizes greedy clustering to initialize deployment points, and the improved disturbance step length with tendency is used to search the neighborhood space. Besides, polynomial fitting Pareto front is also used to select and guide the Markov chain and archive population. Finally, the feasibility and effectiveness of the proposed model and algorithm are verified through an experiment of optimal deployment of the edge equipments in a certain substation.
AbstractList To realize the optimal deployment of online monitoring equipment at the edges of substations under the cloud-edge collaboration framework, an optimal deployment model of edges considering spatial constraints is proposed. In the model, the constraints including edge deployment point, line of sight, as well as device pose, etc. are taken into account. To achieve the one-to-many collection of the deployed equipment, a mathematical model is constructed with the objectives of minimizing the shooting distance and the number of edge equipments. And an archive based multi-objective simulated annealing algorithm based on improved trending Markov chain (IAMOSA) is proposed to solve the problem. This algorithm utilizes greedy clustering to initialize deployment points, and the improved disturbance step length with tendency is used to search the neighborhood space. Besides, polynomial fitting Pareto front is also used to select and guide the Markov chain and archive population. Finally, the feasibility and effectiveness of the proposed model and algorithm are verified through an experiment of optimal deployment of the edge equipments in a certain substation.
Author Xu, Shimin
Xu, Wenxiang
Du, Baigang
Tong, Shaocong
Qin, Tao
Liu, Dezheng
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Cites_doi 10.1007/s00170-012-4701-3
10.1155/2021/6691905
10.1002/rob.20423
10.1016/j.jclepro.2019.04.046
10.1109/ACCESS.2023.3281554
10.1109/TSMC.2016.2584786
10.1007/s10479-019-03340-w
10.3390/ijgi9040236
10.1002/tee.22625
10.23919/cje.2021.00.312
10.1142/S0218126623500664
10.1155/2022/2856056
10.1109/TITS.2023.3315785
10.1007/s12293-018-00278-7
10.1108/IR-10-2016-0260
10.1109/TETC.2019.2963091
10.23919/CSMS.2022.0025
10.1080/00207543.2013.765078
10.3390/machines10111100
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Issue 5
Keywords Online monitoring equipment
edges of substations
optimal deployment
improved trending Markov chain
multi-objective simulated annealing algorithm
Language English
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References Yan, Jiang, Luo 2021; 2021
Cai, Feng, Du 2019; 45
Ma, Wang, Dong 2020; 44
Ma, Fu, Gao 2023; 3
Lv, Luan, Liu 2018; 42
Si, Tan, Wang 2020; 40
Fu, Tian, Fathollahi-Fard 2019; 226
Li, Gao, Bai 2020; 9
Jing, Wang, Cheng 2014; 38
Li, Li 2023; 11
Huang, Wu, Ren 2020; 57
Rodrigues, Suto, Kato 2019; 9
Qin, Xu, Sun 2023; 20
Matai, Singh, Mittal 2013; 51
Wu, Liu, Zhao 2019; 11
Lamba, Kumar, Mishra 2020; 290
Liu, Yang, Tan 2022; 32
Wang, Liu, Tian 2022; 48
Zhang, Su, Meng 2017; 44
Zhou, Wang, Liao 2022; 46
Shao, Liu, Liu 2013; 67
Wang, Guo, Li 2012; 29
Kong, Yao, Yang 2022; 10
Song, Liu, Shi 2022; 2022
Chen, Wang, Jia 2022; 37
Lu, Chen, Wu 2021; 32
Shao, Li, Guo 2023; 32
Li, Liu, Yan 2016; 47
Fu, Ma, Gao 2023; 25
Fu, Tian, Li 2018; 13
Su, Wang, Liu 2022; 48
bibr6-16878132241255406
Ma F (bibr16-16878132241255406) 2020; 44
Su S (bibr4-16878132241255406) 2022; 48
bibr19-16878132241255406
Chen NK (bibr7-16878132241255406) 2022; 37
bibr31-16878132241255406
bibr3-16878132241255406
Jing M (bibr1-16878132241255406) 2014; 38
Zhou Z (bibr14-16878132241255406) 2022; 46
Lv J (bibr2-16878132241255406) 2018; 42
Lu H (bibr8-16878132241255406) 2021; 32
bibr23-16878132241255406
bibr10-16878132241255406
bibr13-16878132241255406
bibr20-16878132241255406
bibr30-16878132241255406
bibr26-16878132241255406
bibr29-16878132241255406
bibr12-16878132241255406
Huang S (bibr5-16878132241255406) 2020; 57
Cai Y (bibr17-16878132241255406) 2019; 45
bibr18-16878132241255406
Qin Z (bibr11-16878132241255406) 2023; 20
bibr28-16878132241255406
bibr22-16878132241255406
bibr32-16878132241255406
bibr25-16878132241255406
Si Y (bibr15-16878132241255406) 2020; 40
bibr27-16878132241255406
Wang H (bibr9-16878132241255406) 2022; 48
bibr21-16878132241255406
bibr24-16878132241255406
References_xml – volume: 9
  start-page: 2099
  year: 2019
  end-page: 2108
  article-title: Edge cloud server deployment with transmission power control through machine learning for 6G Internet of Things
  publication-title: IEEE Trans Emerg Top Comput
– volume: 44
  start-page: 333
  year: 2017
  end-page: 342
  article-title: Development and implementation of a robotic inspection system for power substations
  publication-title: Ind Rob
– volume: 32
  start-page: 1972
  year: 2021
  end-page: 1982
  article-title: Path planning of substation inspection robot under road network and measurement constraints
  publication-title: China Mech Eng
– volume: 13
  start-page: 748
  year: 2018
  end-page: 756
  article-title: Parallel machine scheduling with dynamic resource allocation via a master-slave genetic algorithm
  publication-title: IEEJ Trans Electr Electron Eng
– volume: 290
  start-page: 5
  year: 2020
  end-page: 26
  article-title: Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic
  publication-title: Ann Oper Res
– volume: 42
  start-page: 3108
  year: 2018
  end-page: 3115
  article-title: Architecture of distribution internet of things based on widespread sensing & software defined technology
  publication-title: Power Syst Technol
– volume: 48
  start-page: 513
  year: 2022
  end-page: 525
  article-title: Review on security of power Internet of Things terminals
  publication-title: High Voltage Eng
– volume: 9
  start-page: 236
  year: 2020
  article-title: An improved parallelized multi-objective optimization method for complex geographical spatial sampling: AMOSA-II
  publication-title: ISPRS Int J Geoinf
– volume: 20
  start-page: 2240003
  year: 2023
  article-title: Investigation of intelligent substation inspection robot by using mobile data
  publication-title: Int J HR
– volume: 67
  start-page: 2885
  year: 2013
  end-page: 2901
  article-title: Hybrid discrete particle swarm optimization for multi-objective flexible job-shop scheduling problem
  publication-title: Int J Adv Manuf Technol
– volume: 2022
  start-page: 2856056
  year: 2022
  article-title: An improved immune genetic algorithm for solving the flexible job shop scheduling problem with batch processing
  publication-title: Wirel Commun Mob Comput
– volume: 3
  start-page: 32
  year: 2023
  end-page: 46
  article-title: A multi-objective scheduling and routing problem for home health care services via brain storm optimization
  publication-title: Complex Syst Model Simul
– volume: 51
  start-page: 4273
  year: 2013
  end-page: 4288
  article-title: Modified simulated annealing based approach for multi objective facility layout problem
  publication-title: Int J Prod Res
– volume: 32
  start-page: 2350066
  year: 2022
  article-title: A frequency adaptive data collection method for Internet of Things nodes
  publication-title: J Circuits Syst Comput
– volume: 11
  start-page: 55954
  year: 2023
  end-page: 55964
  article-title: Bi-objective optimization for multi-row facility layout problem integrating automated guided vehicle path
  publication-title: IEEE Access
– volume: 11
  start-page: 335
  year: 2019
  end-page: 355
  article-title: An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem
  publication-title: Memet Comput
– volume: 226
  start-page: 515
  year: 2019
  end-page: 525
  article-title: Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint
  publication-title: J Clean Prod
– volume: 25
  start-page: 1706
  year: 2023
  end-page: 1719
  article-title: Multi-objective home health care routing and scheduling with sharing service via a problem-specific knowledge-based artificial bee colony algorithm
  publication-title: IEEE Trans Intell Transp Syst
– volume: 57
  start-page: 26
  year: 2020
  end-page: 38
  article-title: Review of electric power intelligent inspection robot
  publication-title: Electr Meas Instrum
– volume: 32
  start-page: 13
  year: 2023
  end-page: 25
  article-title: Delay and energy consumption oriented UAV inspection business collaboration computing mechanism in edge computing based electric power IoT
  publication-title: Chin J Electron
– volume: 47
  start-page: 1007
  year: 2016
  end-page: 1018
  article-title: Robust learning to rank based on portfolio theory and AMOSA algorithm
  publication-title: IEEE Trans Syst Man Cybern Syst
– volume: 45
  start-page: 1715
  year: 2019
  end-page: 1722
  article-title: Novel edge-ware adaptive data processing method for the ubiquitous electric power Internet of Things
  publication-title: High Voltage Eng
– volume: 40
  start-page: 7973
  year: 2020
  end-page: 7979
  article-title: Cloud-edge collaborative structure model for power Internet of Things
  publication-title: Proc CSEE
– volume: 10
  start-page: 1100
  year: 2022
  article-title: Solving the flexible job shop scheduling problem using a discrete improved grey wolf optimization algorithm
  publication-title: Machines
– volume: 48
  start-page: 2982
  year: 2022
  end-page: 2990
  article-title: Autonomous generation method of substation inspection robot inspection point based on spatial relationship
  publication-title: High Voltage Eng
– volume: 37
  start-page: 1453
  year: 2022
  end-page: 1459
  article-title: Multi-mobile robot cooperative inspection operation based on improved biological excitation neural network algorithm in substation
  publication-title: Control Decis
– volume: 44
  start-page: 2020
  year: 2020
  end-page: 2029
  article-title: Power vision edge intelligence: power depth vision acceleration technology driven by edge computing
  publication-title: Power Syst Technol
– volume: 38
  start-page: 532
  year: 2014
  end-page: 537
  article-title: Research and application of sensor information model in power Internet of Things
  publication-title: Power Syst Technol
– volume: 29
  start-page: 123
  year: 2012
  end-page: 137
  article-title: SmartGuard: an autonomous robotic system for inspecting substation equipment
  publication-title: J Field Robot
– volume: 46
  start-page: 1641
  year: 2022
  end-page: 1651
  article-title: 5G Cloud-edge-end collaboration framework and resource scheduling method in power Internet of Things [J]
  publication-title: Power Syst Technol
– volume: 2021
  start-page: 6691905
  year: 2021
  article-title: System optimization and robustness stability control for GIS inspection robot in complex microgrid networks
  publication-title: Complexity
– ident: bibr24-16878132241255406
  doi: 10.1007/s00170-012-4701-3
– ident: bibr12-16878132241255406
  doi: 10.1155/2021/6691905
– ident: bibr6-16878132241255406
  doi: 10.1002/rob.20423
– volume: 20
  start-page: 2240003
  year: 2023
  ident: bibr11-16878132241255406
  publication-title: Int J HR
– volume: 46
  start-page: 1641
  year: 2022
  ident: bibr14-16878132241255406
  publication-title: Power Syst Technol
– volume: 45
  start-page: 1715
  year: 2019
  ident: bibr17-16878132241255406
  publication-title: High Voltage Eng
– volume: 38
  start-page: 532
  year: 2014
  ident: bibr1-16878132241255406
  publication-title: Power Syst Technol
– ident: bibr20-16878132241255406
  doi: 10.1016/j.jclepro.2019.04.046
– ident: bibr30-16878132241255406
  doi: 10.1109/ACCESS.2023.3281554
– ident: bibr31-16878132241255406
  doi: 10.1109/TSMC.2016.2584786
– ident: bibr22-16878132241255406
  doi: 10.1007/s10479-019-03340-w
– volume: 42
  start-page: 3108
  year: 2018
  ident: bibr2-16878132241255406
  publication-title: Power Syst Technol
– ident: bibr32-16878132241255406
  doi: 10.3390/ijgi9040236
– ident: bibr25-16878132241255406
  doi: 10.1002/tee.22625
– ident: bibr18-16878132241255406
  doi: 10.23919/cje.2021.00.312
– volume: 48
  start-page: 2982
  year: 2022
  ident: bibr9-16878132241255406
  publication-title: High Voltage Eng
– volume: 32
  start-page: 1972
  year: 2021
  ident: bibr8-16878132241255406
  publication-title: China Mech Eng
– ident: bibr19-16878132241255406
  doi: 10.1142/S0218126623500664
– ident: bibr23-16878132241255406
  doi: 10.1155/2022/2856056
– ident: bibr3-16878132241255406
– volume: 40
  start-page: 7973
  year: 2020
  ident: bibr15-16878132241255406
  publication-title: Proc CSEE
– ident: bibr27-16878132241255406
  doi: 10.1109/TITS.2023.3315785
– volume: 48
  start-page: 513
  year: 2022
  ident: bibr4-16878132241255406
  publication-title: High Voltage Eng
– volume: 44
  start-page: 2020
  year: 2020
  ident: bibr16-16878132241255406
  publication-title: Power Syst Technol
– ident: bibr29-16878132241255406
  doi: 10.1007/s12293-018-00278-7
– ident: bibr13-16878132241255406
  doi: 10.1108/IR-10-2016-0260
– ident: bibr10-16878132241255406
  doi: 10.1109/TETC.2019.2963091
– ident: bibr26-16878132241255406
  doi: 10.23919/CSMS.2022.0025
– volume: 37
  start-page: 1453
  year: 2022
  ident: bibr7-16878132241255406
  publication-title: Control Decis
– ident: bibr21-16878132241255406
  doi: 10.1080/00207543.2013.765078
– volume: 57
  start-page: 26
  year: 2020
  ident: bibr5-16878132241255406
  publication-title: Electr Meas Instrum
– ident: bibr28-16878132241255406
  doi: 10.3390/machines10111100
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Snippet To realize the optimal deployment of online monitoring equipment at the edges of substations under the cloud-edge collaboration framework, an optimal...
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SubjectTerms Algorithms
Archives & records
Clustering
Greedy algorithms
Markov analysis
Markov chains
Monitoring
Monitoring systems
Polynomials
Simulated annealing
Substations
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Title Optimal deployment of the online monitoring equipment at the edges of substations considering spatial constraint
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