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检索条件"任意字段=Conference on Advanced Process Control and Automation"

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Design of meter module assembly line based on automation 5

Design of meter module assembly line based on automation

引用

2024 5th International conference on Electrical Technology and Automatic control, ICETAC 2024

作者： Liu, Yuluan Lin, Jingxiang Wei, Lilong Tate Grid Info-Telecom Great Power Science and Technology Co. Ltd. Tianjin300457 China

This paper designs an automated assembly and binding device for power meters and communication modules, aiming to optimize the metering asset management process. The device ensures assembly quality and reduces manual intervention through full visual guidance and precise servo control. The design includes two automated assembly line solutions, realizing 36-second and 20-second assembly beats, respectively, which significantly improves production efficiency. advanced automation technologies, such as 3D visual recognition, automatic screw guns, labeling flyers, etc., are used in major processes to ensure high efficiency and accuracy of the assembly process. In addition, the material flow turn design is flexible with a caching function, which enhances the continuity of the production line. Through the combination of multifunctional robots and intelligent modules, efficient and disordered gripping and assembling are realized, ensuring product quality and work stability. The research in this paper provides a practical solution for the automated assembly of meter modules and promotes the intelligent development of the electric power industry. © Published under licence by IOP Publishing Ltd.

关键词： Quality control

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Functional Test-Cost Reduction Based on Fault Tree Analysis and Binary Optimization 43

Functional Test-Cost Reduction Based on Fault Tree Analysis ...

引用

43rd Chinese control conference, CCC 2024

作者： Zuo, Xiaojie Wang, Kangcheng Zhao, Yun-Bo Kang, Yu Bai, Peng Anhui University AHU-IAI Ai Joint Laboratory Hefei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China University of Science and Technology of China Department of Automation Hefei China University of Science and Technology of China Institute of Advanced Technology Hefei China Lcfc Hefei China

ISBN: (纸本)9789887581581

With the rapid increase in the complexity of electronics, the cost of the functional testing process used to ensure product functionality continues to rise. Optimization modeling based on reliability analysis is an effective approach to reduce testing costs. However, the reliability calculations of existing methods often exhibit significant deviations, making it challenging to guarantee the effectiveness of the resulting testing strategies in practical applications. To address this issue, this article proposes an optimization modeling method that integrates statistical analysis and reliability analysis. The expression for the reliability of the system's key stage is formulated by analyzing the system's reliability. Statistical analysis is utilized to exploit the inherent reliability information in the enormous process data to determine the probability of the root causes of system failures. The reliability of the key stage is quantitatively calculated based on the structure of the fault tree tailored for the system. On this basis, a binary optimization model is established to obtain a testing strategy with strong generalization ability and reduce the cost of functional testing. The effectiveness of the proposed method is verified through a simulation case study © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Smart manufacturing

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Multi-Parametric Model Predictive control Strategies for a Rotary Tablet Press in Pharmaceutical Industry

Multi-Parametric Model Predictive Control Strategies for a R...

引用

2023 IEEE International conference on Systems, Man, and Cybernetics, SMC 2023

作者： Naşcu, Ioana Diangelakis, Nikolaos A. Huang, Yan-Shu Nagy, Zoltan K. Birs, Isabela Naşcu, Ioan Technical University of Cluj Napoca Department of Automation Romania Academy of Romanian Scientists Romania School of Chemical and Environmental Engineering Technical University of Crete Crete Chania Greece Davidson School of Chemical Engineering Purdue University West Lafayette United States Technical University of Cluj Napoca Department of Automation Cluj Napoca Romania

ISBN: (纸本)9798350337020

The pharmaceutical manufacturing industry has been undergoing a paradigm change from the standard batch pharmaceutical manufacturing towards continuous manufacturing, which is a quicker, more effective approach. Even so, most work in continuous tablet manufacturing has focused on classic model predictive control strategies. Multi-parametric model predictive control strategies are a better fit for assuring a quality-by-control (QbC) approach and progressing towards embracing the Industry 4.0 revolution. In this work an advanced multi-parametric model based predictive control strategy for the control of a continuous manufacturing process for solid dosage forms in the pharmaceutical industry is developed. The model used to develop the advanced control strategies is validated and calibrated using real data from the Pilot Plant. This will lead to better process performances including increased process efficiency, expanded process flexibility, and decreased environmental impact despite the presence of process uncertainties, measurement noise and disturbances. © 2023 IEEE.

关键词： multi-parameric / explicit model based predictive control pharmaceuticals process control rotary tablet press

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Valve Positioner Opening control Based on Variable Universe Fuzzy Logic ADRC 6

Valve Positioner Opening Control Based on Variable Universe ...

引用

6th IEEE advanced Information Technology, Electronic and automation control conference (IEEE IAEAC)

作者： Min, Zhu Xu Zihao Zang Zhaoyu Yang, Chen Hefei Univ Technol Sch Elect Engn & Automat Hefei 230009 Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

In view of the high requirements for valve control accuracy and stability in industrial process control, Aiming at the high requirements for valve control accuracy and stability in industrial process control, a valve opening control scheme based on variable universe fuzzy auto disturbance rejection is proposed. Use AMESim and Simulink for joint simulation. First, build the controlled object model in AMESim, and then import the established controlled object model into the Simulink module of the active disturbance rejection control system. The expansion factor is introduced to improve the fuzzy control performance. Through fuzzy control Set the parameters of auto disturbance rejection controller. The simulation results show that the variable universe fuzzy auto-disturbance rejection controller has strong anti-interference ability and good adaptability, can quickly and stably reach the preset control opening, and can achieve precise and stable control of the valve opening.

关键词： valve opening control fuzzy control variable universe active disturbance rejection control co-simulation valve positioner

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Research on Point Cloud Data Preprocessing for Unmanned LiDAR 7

Research on Point Cloud Data Preprocessing for Unmanned LiDA...

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7th IEEE advanced Information Technology, Electronic and automation control conference, IAEAC 2024

作者： Zhang, Huan Wei, Zunpei Army Academy of Armored Forces Weapons and Control Department Beijing China Unit 61112 of the People's Liberation Army Mudanjiang China

ISBN: (纸本)9798350339161

With the continuous progress of random social technology and economy, autonomous driving technology has become a key direction for the development of modern automotive industry. The environmental perception system, as an important component of autonomous driving technology, directly determines the safety, stability, and comfort of autonomous vehicles. As an active imaging system, LiDAR has the advantages of high accuracy in obtaining clustering information, being less susceptible to external environmental interference, and not limited by light intensity compared to passive imaging systems. In order to enable the vehicle mounted LiDAR to better achieve environmental perception, it is necessary to preprocess point cloud data. This article mainly studies three key steps in the preprocessing process, including point cloud filtering denoising, downsampling, and ground point cloud segmentation, and verifies the algorithm for the above preprocessing methods. The research in this paper provides technical support for autonomous driving to achieve environmental awareness. © 2024 IEEE.

关键词： Autonomous vehicles

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Single-factor Multi-level Fermentation Model Based on Linear Parameter Varying Finite Impulse Response

Single-factor Multi-level Fermentation Model Based on Linear...

引用

2024 Jiangsu Annual conference on automation, JACA 2024

作者： Wang, Xuezheng Chen, Xiang Wang, Xiaogang Liu, Fei Key Laboratory for Advanced Process Control of Light Industry of the Ministry of Education Jiangnan University Wuxi214122 China

ISBN: (纸本)9781837242689

The fermentation process of Corynebacterium glutamicum exhibits complex dynamic characteristics such as nonlinearity and strong coupling, which makes it difficult to establish an accurate dynamic model, thus making the system challenging to optimize and control. Considering nonlinear dynamic processes can be well described by Linear Parameter-Varying (LPV) models, this work suggests a method for modeling the Corynebacterium glutamicum fermentation process based on Linear Parameter Varying Finite Impulse Response (LPV-FIR). Three product (succinic, lactic, and acetic) concentrations and their dynamic interactions with the oxygen transfer coefficient (KLA) are described. Experiments prove that this model can describe the dynamic changes of all the variables in the fermentation process, which has a certain accuracy and robustness. © The Institution of Engineering & Technology 2024.

关键词： Impulse response

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Modeling of Bernoulli production line with rework loop for real-time work-in-process optimization in permutation flowshop 6

Modeling of Bernoulli production line with rework loop for r...

引用

6th IEEE advanced Information Technology, Electronic and automation control conference (IEEE IAEAC)

作者： Wang, Xianliang Gu, Wenbin Liu, Siqi Guo, Zhenyang Zhan, Yikai Hohai Univ Coll Mech & Elect Engn Changzhou Jiangsu Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

In order to improve the production performance, the permutation flowshop needs to be designed to reschedule the production release plan in realtime without work-in-process (WIP) explosion. To achieve this goal, this research aims to construct the model predictive control for discrete-event by the Bernoulli's theory, real-time WIP in order to generate the optimized production release plan. Firstly, the state expression function and reliability model of the operator-based combined machines are defined. Secondly, the Bernoulli's theory is adopted to calculate the states of the machines and the buffers. Finally, the simulation results show that the model predictive control for discrete-event is feasible and effective. This model can provide theoretical support for WIP optimization and efficient operation of the actual permutation flowshop with re-entrant links.

关键词： Permutation flowshop work-in-process (WIP) explosion optimized production release plan

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DRI advanced process control With Predictive Method and Virtual Assessment for Increased Plant Yield With Reduced OpEx and Emissions

DRI Advanced Process Control With Predictive Method and Virt...

引用

AISTech 2024 Iron and Steel Technology conference

作者： Pauluzzi, Dario Zugliano, Alberto Andrea, Drius Giraldo, Ashton Hertrich Mahmoud, Mohab Sales Senior Manager Danieli and C. Officine Meccaniche S.p.A. Via Nazionale 41 Buttrio33042 Italy Process Senior Engineer Danieli and C. Officine Meccaniche S.p.A. Via Nazionale 41 Buttrio33042 Italy Automation Engineer Danieli and C. Officine Meccaniche S.p.A. Via Nazionale 41 Buttrio33042 Italy Sales Engineer Danieli and C. Officine Meccaniche S.p.A. Via Nazionale 41 Buttrio33042 Italy

ISBN: (纸本)9780930767259

Q-RED is the advanced DRI process control system from Danieli for increased plant yield and reduced OpEx. The Suite comprises 4 modules: the process reconstruction model, the process gas heater diagnostics tool, the reactor tracker, and the set point optimizer. the PRM is the main core;it collects the measured variables and reconstructs the non-measured ones, offering good insight of the plant. PGH Diagnostics Tool, starting from the gas entering the PGH and its working points estimates the coking tendency, rate, and the fouling status of heater’s tubes. Reactor tracker and LESTO modules help conducting the plant, optimizing quality and energy consumption. © 2024 by the Association for Iron & Steel Technology.

关键词： Energy utilization

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Design and Implementation of High Concurrency Access Dynamic control Strategy Considering the Priority of Electricity Market Business 6

Design and Implementation of High Concurrency Access Dynamic...

引用

6th IEEE advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： Shao, Ping Liu, Yonghui Wang, Haichao Xu, Pan Pan, Jiajia China Electric Power Research Institute Co. Ltd Nanjing China Electricity Market Operation Technology Laboratory of SGCC Nanjing China Beijing Electricity Trading Center Co. Ltd Beijing China Anhui Electricity Trading Center Co. Ltd. Hefei China

ISBN: (纸本)9798350316520

This paper presents a dynamic control strategy for high concurrency access with priority in electricity market businesses. The strategy integrates advanced information technology methods with a deep understanding of electricity market business characteristics to ensure the system can rapidly respond and accurately process various businesses, especially those with higher priority in electricity market transactions, in a high concurrency environment. The proposed strategy includes a business priority recognition and mapping mechanism, a priority-based dynamic scheduling algorithm, and a multi-level concurrency control strategy. The implementation of the strategy utilizes a microservices architecture, with services independently deployed, scaled, and maintained. The strategy was deployed and tested in a simulation test environment, with the results demonstrating its effectiveness in handling high concurrency access and improving system throughput, response time, and resource utilization. © 2024 IEEE.

关键词： Power markets

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Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review 5

Hyper-parameter Optimization in the context of Smart Manufac...

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5th International conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Chernigovskaya, Maria Nahhas, Abdulrahman Kharitonov, Andrey Turowski, Klaus Otto von Guericke Univ Magdeburg Res & Competence Cluster Very Large Bus Fac Comp Sci Univ Pl 2 D-39106 Magdeburg Germany

Smart manufacturing involves the use of a variety of automation solutions, such as robotics, machines with embedded software, and advanced sensors collecting vast quantities of data. Efficient control of a complex composition of such solutions, as well as the analysis of the collected data, are essential for improving the efficiency of the production processes and decision-making. Data analysis and process optimization are enabled through the application of state-of-the-art optimization and machine learning algorithms. However, the efficient use of these algorithms often depends on the careful selection of the parameters, which on its own is a process that requires a high degree of expertise and time. Therefore, another class of algorithms can be applied that is designed to discover the optimal parameter configuration given the specific nature of the manufacturing process and the used algorithm. In this work, we systematically analyze the published literature to discover which parameter selection techniques are used in the context of Industry 4.0, for which processes, and how these benefit from automated parameter selection. Within our literature review, we discover nine relevant publications, most of which concentrate on parameter selection for machine learning algorithms through various numerical optimization and metaheuristic techniques. (C) 2024 The Authors. Published by Elsevier B.V.

关键词： Hyper-parameters optimization Smart Manufacturing Industry 4.0 automation

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