Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10055581
Yijie Sun, Huiwen Xia
The electric power industry is closely related to the development of national economy. With the development of economy, the social electricity situation is increasingly complicated, which brings great test to the prediction of electric load system. Accurate short-term power load forecasting plays an important role in production scheduling and safe and stable operation of power system. In this paper, Elman neural network based on genetic algorithm is established and a short-term power load forecasting model is established. The actual history data of municipal power grid are simulated, the experimental results show that compared with the BP neural network and Elman neural network commonly, Elman neural network based on genetic algorithm to solve the problem of random initial weights of the Elman neural network, can effectively enhance the power load forecasting accuracy and meet the needs of the actual production and work.
{"title":"Research on short-term power load forecasting based on Elman neural network with Genetic Algorithm","authors":"Yijie Sun, Huiwen Xia","doi":"10.1109/CAC57257.2022.10055581","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10055581","url":null,"abstract":"The electric power industry is closely related to the development of national economy. With the development of economy, the social electricity situation is increasingly complicated, which brings great test to the prediction of electric load system. Accurate short-term power load forecasting plays an important role in production scheduling and safe and stable operation of power system. In this paper, Elman neural network based on genetic algorithm is established and a short-term power load forecasting model is established. The actual history data of municipal power grid are simulated, the experimental results show that compared with the BP neural network and Elman neural network commonly, Elman neural network based on genetic algorithm to solve the problem of random initial weights of the Elman neural network, can effectively enhance the power load forecasting accuracy and meet the needs of the actual production and work.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130404347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10055380
Xuechen Rao, Yahui Gan, Xiaoteng Wang
At present, due to the high redundancy and strong coupling characteristics of mobile manipulator systems, there are few and in-depth studies on coordinated motion planning. Aiming at the above problems, this paper proposes a coordinated control algorithm that can track the desired trajectory of the end-effector based on a class of 5-DOF mobile manipulators. The algorithm takes the power consumption and trajectory stability of the entire system as the optimization objectives, and sets the function of the selected optimization objective on the desired trajectory, and performs optimization based on the interior point method of convex optimization to converge to the optimal solution faster. Finally, the system is simulated to verify the correctness and effectiveness of the control algorithm.
{"title":"A Trajectory Tracking Algorithm Based on Interior Point Method for A Class of Mobile Manipulators","authors":"Xuechen Rao, Yahui Gan, Xiaoteng Wang","doi":"10.1109/CAC57257.2022.10055380","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10055380","url":null,"abstract":"At present, due to the high redundancy and strong coupling characteristics of mobile manipulator systems, there are few and in-depth studies on coordinated motion planning. Aiming at the above problems, this paper proposes a coordinated control algorithm that can track the desired trajectory of the end-effector based on a class of 5-DOF mobile manipulators. The algorithm takes the power consumption and trajectory stability of the entire system as the optimization objectives, and sets the function of the selected optimization objective on the desired trajectory, and performs optimization based on the interior point method of convex optimization to converge to the optimal solution faster. Finally, the system is simulated to verify the correctness and effectiveness of the control algorithm.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129290325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10055311
Hui Wang, Guanzheng Tan, Degang Xu
This paper focuses on the safety problems in the industrial production process. Through the investigation of copper processing plant, we found that workers have little safety awareness, who often get into factories without helmets and enter non-safety areas without permission. To prevent safety accidents, we propose a multi-task model to detect some unsafe behaviors based on computer vision techniques. The model is composed of a shared encoder and two independent decoder branches. It can be used to detect the safety helmet and the factory landmark lines at the same time. According to the detection results, it can be judged whether the workers regularly wear the safety helmet or they are in the unsafe area in real time. Through the judgment of workers’ safety status, we can strengthen the safety supervision of industrial site, which has strong practical significance and application prospect.
{"title":"Safety behavior detection of factory workers based on multi task model","authors":"Hui Wang, Guanzheng Tan, Degang Xu","doi":"10.1109/CAC57257.2022.10055311","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10055311","url":null,"abstract":"This paper focuses on the safety problems in the industrial production process. Through the investigation of copper processing plant, we found that workers have little safety awareness, who often get into factories without helmets and enter non-safety areas without permission. To prevent safety accidents, we propose a multi-task model to detect some unsafe behaviors based on computer vision techniques. The model is composed of a shared encoder and two independent decoder branches. It can be used to detect the safety helmet and the factory landmark lines at the same time. According to the detection results, it can be judged whether the workers regularly wear the safety helmet or they are in the unsafe area in real time. Through the judgment of workers’ safety status, we can strengthen the safety supervision of industrial site, which has strong practical significance and application prospect.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123919586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10055932
Shi-Du Dong, Yuzhu Zhang, Jiawei Liu, Xingxing Zhou, Xuesong Wang
A robust identification algorithm is presented for nonlinear systems with disturbance, which is fitted by Hammerstein block structure model. A hierarchical least squares method is proposed to estimate model parameters and track disturbance in combination with auxiliary modelling strategies and separable techniques. The multi-innovation technology for error updating is used to augment the dimension of the innovation matrix, in order to reduce the estimation error variance and enhance the convergence stability of the algorithm. The time-varying disturbance is still tracking by a single innovation strategy. Two adaptive forgetting factors are proposed to enhance the system parameters' convergence characteristics and to improve the track ability of time-varying disturbance. An example is applied to validate the benefits of the proposed algorithm. The established model can facilitate controller design and system operation monitoring.
{"title":"Robust identification of input nonlinear block structure systems","authors":"Shi-Du Dong, Yuzhu Zhang, Jiawei Liu, Xingxing Zhou, Xuesong Wang","doi":"10.1109/CAC57257.2022.10055932","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10055932","url":null,"abstract":"A robust identification algorithm is presented for nonlinear systems with disturbance, which is fitted by Hammerstein block structure model. A hierarchical least squares method is proposed to estimate model parameters and track disturbance in combination with auxiliary modelling strategies and separable techniques. The multi-innovation technology for error updating is used to augment the dimension of the innovation matrix, in order to reduce the estimation error variance and enhance the convergence stability of the algorithm. The time-varying disturbance is still tracking by a single innovation strategy. Two adaptive forgetting factors are proposed to enhance the system parameters' convergence characteristics and to improve the track ability of time-varying disturbance. An example is applied to validate the benefits of the proposed algorithm. The established model can facilitate controller design and system operation monitoring.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123944872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10054926
Yang Yu, Yizhong Fang, Han Wu, Tuo Han, Q. Hu
The multi-missile confront multi-target is a classic target allocation issue in the combat scenario of multiple missiles intercepting multiple maneuvering targets. Traditional algorithms lack environmental assessment model, train quality, and indicator function in the adversarial environment. To this end, this paper aims to propose an intelligent assignment strategy which contains indicator function and evaluation model. Then, an indicator function and an evaluation model considering the miss distance, threat situation, and the number of specified interception targets are introduced into the reinforcement learning algorithm. The local and global reward functions are introduced to improve the training convergence and efficiency in the multi-missile multi-target confrontation scenario. Finally, simulation results are designed to check on advantage of intelligent allocation strategy.
{"title":"Intelligent Assignment Strategy for Multi-Target Adversarial Interception","authors":"Yang Yu, Yizhong Fang, Han Wu, Tuo Han, Q. Hu","doi":"10.1109/CAC57257.2022.10054926","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10054926","url":null,"abstract":"The multi-missile confront multi-target is a classic target allocation issue in the combat scenario of multiple missiles intercepting multiple maneuvering targets. Traditional algorithms lack environmental assessment model, train quality, and indicator function in the adversarial environment. To this end, this paper aims to propose an intelligent assignment strategy which contains indicator function and evaluation model. Then, an indicator function and an evaluation model considering the miss distance, threat situation, and the number of specified interception targets are introduced into the reinforcement learning algorithm. The local and global reward functions are introduced to improve the training convergence and efficiency in the multi-missile multi-target confrontation scenario. Finally, simulation results are designed to check on advantage of intelligent allocation strategy.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123949641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10054905
Zhaohui Liu, Qingchun Liu, Bingfei Li, Shuo Zhang
Service-oriented advanced avionics system(SOAAS) is a complex network system with different stakeholders. Stake-holders are irrational behavior and may take aberrant behaviors in advanced avionics system. Different behavior will lead the avionics system to different states. In order to accurately predict the development trend of SOAAS and grasp its dynamic characteristics, stochastic evolutionary game theory is applied to study and analyze SOAAS in this paper. A multi-party game model is constructed to describe the behaviours of participant, and Ito stochastic differential equation is established based on stochastic theory to break through the limitation of replicator dynamics equation. The stability problem of SOAAS is effectively analyzed, and sufficient conditions of system stability are given. Simulation results show the correct and practicable of the established game model and analysis method.
{"title":"Dynamic Analysis of Service-oriented Advanced Avionics System based on Stochastic Evolutionary Game","authors":"Zhaohui Liu, Qingchun Liu, Bingfei Li, Shuo Zhang","doi":"10.1109/CAC57257.2022.10054905","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10054905","url":null,"abstract":"Service-oriented advanced avionics system(SOAAS) is a complex network system with different stakeholders. Stake-holders are irrational behavior and may take aberrant behaviors in advanced avionics system. Different behavior will lead the avionics system to different states. In order to accurately predict the development trend of SOAAS and grasp its dynamic characteristics, stochastic evolutionary game theory is applied to study and analyze SOAAS in this paper. A multi-party game model is constructed to describe the behaviours of participant, and Ito stochastic differential equation is established based on stochastic theory to break through the limitation of replicator dynamics equation. The stability problem of SOAAS is effectively analyzed, and sufficient conditions of system stability are given. Simulation results show the correct and practicable of the established game model and analysis method.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123989453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10056016
H. Ren, Cui-Cui Song
To block the epidemics like "Corona Virus Disease 2019(COVID-19)" spreading, an effective isolation of the infected patients during the transportation is an important issue, which makes the negative pressure cabin (NPC) become a key equipment. There exist some practical NPCs in service, whose pressures are mostly controlled using the conventional PID controller with parameters regulated by engineering methods. Until now, there is no report about the model of NPC system from the authors’ best knowledge. In this paper, the model of the NPC system is reported, which is an inherent nonlinear system. Because of the nonlinear nature of the cabin pressure, the conventional PID controller cannot achieve desire performance to balance the transient and the steady state performance, even though the optimized PID parameters are chosen using the on-line optimization based on genetic algorithm. To solve such a problem, Tracking Differentiator (TD) and PI controller are combined to achieve the desire performance using the optimized parameters. The experiment results show the improvement of the proposed method.
{"title":"Optimized PI Control with Tracking Differentiator for Negative Pressure Cabin Control","authors":"H. Ren, Cui-Cui Song","doi":"10.1109/CAC57257.2022.10056016","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10056016","url":null,"abstract":"To block the epidemics like \"Corona Virus Disease 2019(COVID-19)\" spreading, an effective isolation of the infected patients during the transportation is an important issue, which makes the negative pressure cabin (NPC) become a key equipment. There exist some practical NPCs in service, whose pressures are mostly controlled using the conventional PID controller with parameters regulated by engineering methods. Until now, there is no report about the model of NPC system from the authors’ best knowledge. In this paper, the model of the NPC system is reported, which is an inherent nonlinear system. Because of the nonlinear nature of the cabin pressure, the conventional PID controller cannot achieve desire performance to balance the transient and the steady state performance, even though the optimized PID parameters are chosen using the on-line optimization based on genetic algorithm. To solve such a problem, Tracking Differentiator (TD) and PI controller are combined to achieve the desire performance using the optimized parameters. The experiment results show the improvement of the proposed method.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123234965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/cac57257.2022.10055690
Changjiang Jiang, Zixuan Huang, Li Tan, Xiaoming Luo
For the problems of the traditional methods in the process of small target detection of traffic signs, such as being susceptible to environmental factors, poor real-time performance and weak generalization ability, this paper proposes an improved road traffic sign detection and recognition method based on YOLOv5 target detection model. Firstly, the original target box in YOLOv5 network which was not suitable for this detection task is improved, and the clustering method of target box obtained from the original network was optimized to K-Means++ clustering method to generate new anchor coordinates. Secondly, the CSP structure of YOLOv5 network was replaced by the CSPGhost structure composed of Ghost module. The CBAM attention mechanism module is added behind the backbone network to improve the image feature extraction ability of the network model. Finally, the detection layer structure of the model is improved, and the detection scale of the target is increased to improve the detection accuracy of the model for small targets. In order to verify the effectiveness of the improved network, a model comparison experiment is designed in this paper. It shows that 45 types of traffic signs are detected on TT100K traffic sign dataset. The experimental results show that the accuracy of the improved network is improved by 7.26% compared with YOLOv5 network.
{"title":"Multi-scale Traffic Sign Detection and Recognition Method Fused with Attention Mechanism","authors":"Changjiang Jiang, Zixuan Huang, Li Tan, Xiaoming Luo","doi":"10.1109/cac57257.2022.10055690","DOIUrl":"https://doi.org/10.1109/cac57257.2022.10055690","url":null,"abstract":"For the problems of the traditional methods in the process of small target detection of traffic signs, such as being susceptible to environmental factors, poor real-time performance and weak generalization ability, this paper proposes an improved road traffic sign detection and recognition method based on YOLOv5 target detection model. Firstly, the original target box in YOLOv5 network which was not suitable for this detection task is improved, and the clustering method of target box obtained from the original network was optimized to K-Means++ clustering method to generate new anchor coordinates. Secondly, the CSP structure of YOLOv5 network was replaced by the CSPGhost structure composed of Ghost module. The CBAM attention mechanism module is added behind the backbone network to improve the image feature extraction ability of the network model. Finally, the detection layer structure of the model is improved, and the detection scale of the target is increased to improve the detection accuracy of the model for small targets. In order to verify the effectiveness of the improved network, a model comparison experiment is designed in this paper. It shows that 45 types of traffic signs are detected on TT100K traffic sign dataset. The experimental results show that the accuracy of the improved network is improved by 7.26% compared with YOLOv5 network.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123388867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-25DOI: 10.1109/CAC57257.2022.10055600
T. Shi, Chang Xu, Xiangpeng Xie, Wenhao Dong, Chun-sheng Tang
This paper mainly studies the energy management optimization strategy of regional integrated energy including hydrogen storage under the condition of renewable energy access. In this paper, an energy management optimization strategy of integrated energy system for scenic hydrogen storage area is proposed. The strategy aims at minimizing the comprehensive electricity cost in the region within a certain period of time, and considers diversified distributed power sources and load types such as wind power generation, photovoltaic power generation, hydrogen power generation, hydrogen energy storage, battery energy storage, electric boiler and interruptible load. As a example the paper takes a regional renewable energy system to analyze, and the results show that the strategy can fully exploit the consumption space of renewable energy generation, maximize the local consumption of renewable energy generation, and minimize the power generation cost of integrated energy system, which has certain practical application significance.
{"title":"Research on Energy Management Optimization Strategy of Integrated Energy System in Wind Photovoltaic Hydrogen Energy Storage Area","authors":"T. Shi, Chang Xu, Xiangpeng Xie, Wenhao Dong, Chun-sheng Tang","doi":"10.1109/CAC57257.2022.10055600","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10055600","url":null,"abstract":"This paper mainly studies the energy management optimization strategy of regional integrated energy including hydrogen storage under the condition of renewable energy access. In this paper, an energy management optimization strategy of integrated energy system for scenic hydrogen storage area is proposed. The strategy aims at minimizing the comprehensive electricity cost in the region within a certain period of time, and considers diversified distributed power sources and load types such as wind power generation, photovoltaic power generation, hydrogen power generation, hydrogen energy storage, battery energy storage, electric boiler and interruptible load. As a example the paper takes a regional renewable energy system to analyze, and the results show that the strategy can fully exploit the consumption space of renewable energy generation, maximize the local consumption of renewable energy generation, and minimize the power generation cost of integrated energy system, which has certain practical application significance.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123653721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The green development of the manufacturing is supported by energy conservation and environmental protection policies. The implementation of strategies has gradually expanded from a single field to multiple fields. These changes improve quality of products, innovation ability and efficiency of resource allocation of manufacturing systems. In recent years, reducing energy consumption has become the focus of both industry and academics. In order to save energy, we consider switching on/off a machine in the production lines when certain thresholds of buffers are reached. In this paper, we investigate Bernoulli serial lines with buffers having limited capacity which run finite production. Mathematical model of the three-machine line which produce finite products is established and analytical methods of calculating production rate, consumption rate, blocking probability, starvation probability, completion time and energy consumption are proposed. Markovian approach is adopted in three-machine lines analysis. Meanwhile, simulation is used to analyse serial lines that have numerous machines.
{"title":"Single Machine Control for Energy Consumption Analysis in Bernoulli Serial Lines","authors":"Xiuxuan Tian, Zhiyang Jia, Zunjun Wang, Yongsheng Qi","doi":"10.1109/CAC57257.2022.10054874","DOIUrl":"https://doi.org/10.1109/CAC57257.2022.10054874","url":null,"abstract":"The green development of the manufacturing is supported by energy conservation and environmental protection policies. The implementation of strategies has gradually expanded from a single field to multiple fields. These changes improve quality of products, innovation ability and efficiency of resource allocation of manufacturing systems. In recent years, reducing energy consumption has become the focus of both industry and academics. In order to save energy, we consider switching on/off a machine in the production lines when certain thresholds of buffers are reached. In this paper, we investigate Bernoulli serial lines with buffers having limited capacity which run finite production. Mathematical model of the three-machine line which produce finite products is established and analytical methods of calculating production rate, consumption rate, blocking probability, starvation probability, completion time and energy consumption are proposed. Markovian approach is adopted in three-machine lines analysis. Meanwhile, simulation is used to analyse serial lines that have numerous machines.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"125 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120886514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：