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

共 4410 条记录，以下是61-70 订阅

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Application of a Neural Network to Feed Bag Tag Detection Systems 26

Application of a Neural Network to Feed Bag Tag Detection Sy...

引用

2024 IEEE International conference on automation/26th Congress of the Chilean Association of Automatic control, ICA-ACCA 2024

作者： Loaiza, Luis Villota, Wellington Penaranda, Vicente Cardenas, Michelle Vega, Nino Salesian Polytechnic University Electronics and Automation Guayaquil Ecuador Institute Iitp Catholic University Guayaquil Ecuador Mechatronic Salesian Polytechnic University Guayaquil Ecuador

ISBN: (纸本)9798350378115

This paper describes the implementation of an advanced artificial intelligence-based system for the detection and labeling of feed sacks, using the Jetson Nano development board and the YOLOv8 neural network model. This system employs computer vision techniques to accurately identify the sacks and their side labels. Ensuring the presence of a label on each sack is crucial for product monitoring and quality control of the labeling process. The methodology involves a rigorous model training process, using data captured in real production conditions, and system configuration to optimize detection performance. The results obtained demonstrate the system's robustness and efficiency, with an accuracy rate of 98.84% in controlled conditions and 96.42% in a real production environment. This underscores the system's practicality and its potential to significantly enhance logistics and quality control processes in the shrimp feed industry. The technology's implementation can lead to improved product traceability and operational efficiency throughout the supply chain, potentially reducing costs, minimizing errors, and increasing end-customer satisfaction. © 2024 IEEE.

关键词： Customer satisfaction

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Cap Badge Sorting System Based on Image Using Convolutional Neural Methods Network

Cap Badge Sorting System Based on Image Using Convolutional ...

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2023 International conference on advanced Mechatronics, Intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Pratama, Naufal Rizky Toti Rahayu, Lucky Putri Priambodo, Joko Sepuluh Nopember Institute of Technology Electrical Automation Engineering Surabaya Indonesia Sepuluh Nopember Institut of Technology Electrical Automation Engineering Surabaya Indonesia

ISBN: (纸本)9798350309225

The automatic control system was developed from various fields, one of which is quality control soy sauce. Several variables can influence the quality level making soy sauce, one of which is viscosity and salt content. There is an adjustment process that aims to create soy sauce according to the predetermined reference value company. However, this is often the result of the soy sauce adjustment process sweetness cannot yet match the reference value, so it is necessary done repeatedly. Especially now when determining the composition The adjustment is carried out by calculating manually. This method has disadvantages in terms of time which can hamper the production process and is vulnerable to occurrence calculation error. Therefore, a system that can control viscosity levels and Salt content in sweet soy sauce. In this research the authordesigning a viscosity and salt content control system by adjusting the volume of added mineral water and water salt so that it can produce soy sauce that matches the value reference. This system uses the fuzzy logic method Arduino UNO is used as the main control connected with viscosity sensor and salt sensor. Input from fuzzy These are the level of viscosity and salt content, with system output in the form of added value of mineral water, watersalt and stirrer motor speed. This system is expected can help the adjustment process to be faster and more precise thereby increasing the efficiency of the production process. © 2023 IEEE.

关键词： control systems

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A Customized Quad-Core RISC-V SoC for Energy control Units 7

A Customized Quad-Core RISC-V SoC for Energy Control Units

引用

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

作者： Ren, Yang Liu, Xinyu Li, Lewei Tan, Nianxiong Zhejiang University School of Micro-Nano Electronics Hangzhou China Hangzhou Vango Technologies Inc. Hangzhou China

ISBN: (纸本)9798350339161

This paper presents a quad-core RISC-V SoC custom-designed for energy control units and data concentrators for smart meters. Leveraging the open-source framework Chipyard and employing a high-level hardware description language and the agile design methodology, we successfully implemented the SoC. The chip achieves a maximum core clock frequency of 1.32GHz in a 22-nm CMOS process, with a nominal power consumption of 310.3mW. © 2024 IEEE.

关键词： Internet of Energy

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Flexible job shop machines and AGVs cooperative scheduling on the basis of DQN algorithm 6

Flexible job shop machines and AGVs cooperative scheduling o...

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

作者： Xiaoting, Dong Guangxi, Wan Peng, Zeng Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

ISBN: (纸本)9798350316520

In flexible job shop, the transportation time and path of Automated Guided Vehicles (AGVs) greatly impact the production cycle time. However, traditional flexible job shop scheduling problems (FJSSP) mainly focus on job sequencing and machine selection, neglecting the effect of AGVs transportation on the production process. This often leads to suboptimal scheduling solutions that are difficult to guide the shop floor operation effectively. To address this issue, this paper formulates a cooperative scheduling model that integrates the AGVs scheduling into traditional flexible job shop scheduling problem, abbreviated as the FJSMAS problem, with the objective of makespan minimization. Furthermore, by designing state features, action space, and reward function, the FJSMAS problem is transformed into a Markov decision process, a deep reinforcement learning algorithm (DRL) is then adopted to solve it. The feasibility of the proposed FJSMAS model and the effectiveness of DRL algorithm in solving the FJSMAS problem are verified through benchmark's instances. © 2024 IEEE.

关键词： Reinforcement learning

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The current research status of heat transfer models for hot rolling strip 4

The current research status of heat transfer models for hot ...

引用

4th International conference on Mechanical Engineering, Intelligent Manufacturing, and automation Technology, MEMAT 2023

作者： Yao, Yilong Chen, Chi Shi, Jianhui Liang, Ruquan Zhang, Dengbo School of Automation and Electrical Engineering Linyi University Linyi276000 China School of Mechanical and Vehicle Engineering Linyi University Linyi276000 China

ISBN: (纸本)9781510674820

Post-rolling cooling is a critical step in the hot rolling production process, and it has a significant impact on the microstructure and mechanical properties of the final product. This paper first introduces three main modules of research on advanced post-rolling cooling system models. Secondly, it analyzes how to establish high-precision predictive models for post-rolling cooling systems and improve temperature control accuracy. The paper summarizes some strategies and solutions proposed by scholars to address identified issues. By utilizing advanced control theory and deep learning, a post-rolling control and cooling predictive model is developed to effectively mine production big data and provide accurate forecasts for the cooling system. In terms of improving temperature control accuracy, scholars have optimized existing self-learning models, resulting in a dual-model parallel system known as VSG+DNN. This system significantly enhances the stability and robustness of the post-rolling cooling system. © 2024 SPIE.

关键词： Cooling

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Design and Implementation of a Cascade control Scheme for the TCLab Temperature Device 26

Design and Implementation of a Cascade Control Scheme for th...

引用

2024 IEEE International conference on automation/26th Congress of the Chilean Association of Automatic control, ICA-ACCA 2024

作者： Caiza, Luis Benitez, Diego S. Camacho, Oscar Universidad San Francisco de Quito Usfq Colegio de Ciencias e Ingenierías Quito Ecuador

ISBN: (纸本)9798350378115

This paper explores the implementation of cascade control strategies for the Temperature control Laboratory (TCLab) temperature device. Chemical processes in industrial applications are inherently complex and nonlinear and often involve higher-order dynamics, making them susceptible to disturbances and uncertainties. The TCLab, a widely used educational and research tool, exemplifies these challenges. In this study, we design and analyze a cascade control system to improve the regulation of temperature within the TCLab setup. The primary controller addresses the overall temperature control, while a secondary controller mitigates the effects of disturbances and enhances response time. Experimental results demonstrate the effectiveness of the cascade control approach in achieving superior performance compared to traditional single-loop control methods. This work provides valuable insights into the practical application of advanced control techniques in temperature regulation, contributing to a broader understanding of control systems in chemical process engineering. © 2024 IEEE.

关键词： Cascade control systems

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Detection system of excess matter in hole of complex workpiece based on manipulator control 7

Detection system of excess matter in hole of complex workpie...

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

作者： Zhang, Xiaojin Jin, Tian Xia, Jiagao Wang, Zhenlin Xu, Kangliang Zhao, Huiqiang Chen, Qiming Wang, Weiwen Lanzhou Institute of Physics Lanzhou China

ISBN: (纸本)9798350339161

In order to effectively detect excess matter in the aperture of complex workpiece, this paper proposes a detection system of excess matter in the hole of complex workpiece based on the motion path planning algorithm of robot arm. The system modeled the motion parameters of the robot arm and used the inverse motion analysis method to calculate the motion angles of each joint of the robot arm, so as to achieve accurate control of the motion of the robot arm. Then, the coordinate position of the complex workpiece hole was calculated through the homogeneous matrix transformation, and the robot arm holding the endoscope was controlled to move to the corresponding position of each hole of the complex workpiece. Identify and detect burrs and residues in holes, and generate inspection reports. The test results show that the system is superior to the existing methods in terms of detection speed and accuracy, and has high detection accuracy and adaptability. It can be effectively applied in the actual production process, and provides a new technical means for the quality control of the manufacturing industry. © 2024 IEEE.

关键词： Quality control

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Retrofit Conventional Diesel Engine control to advanced automation and Fault Detection Systems 6

Retrofit Conventional Diesel Engine Control to Advanced Auto...

引用

6th International conference on Power Engineering and Renewable Energy, ICPERE 2024

作者： Hidayat, Rama Rachmildha, Tri Desmana Rizqiawan, Arwindra School of Electrical Engineering and Informatics Bandung Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798331504694

In diesel power plants, the inability to detect faults quickly can lead to delays in corrective actions, reducing operational efficiency and system reliability. Operational errors often occur due to conventional control systems that heavily rely on operator expertise and rapid responses. Additionally, system recovery is hindered by the lack of automation in the control process. As a solution, this study proposes the use of PLC (Programmable Logic controller) and SCADA (Supervisory control and Data Acquisition) to manage critical parameters within diesel power plants. The system includes control of the governor, pressure in the cooling water and oil systems, water and oil temperatures, combustion processes, and bearing temperatures. This implementation is expected to enhance responsiveness to faults, reduce operator dependency, and improve both recovery speed and system efficiency. Furthermore, it allows for safer and more effective testing and adjustment of control systems before they are applied to actual operations. The main contribution of this paper is to demonstrate that conventional diesel power plants can be retrofitted with automation and monitoring systems, thereby enhancing system productivity. © 2024 IEEE.

关键词： Diesel power plants

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Research on Knowledge Management for Product Assembly process Based on Semantic 2

Research on Knowledge Management for Product Assembly Proces...

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2nd International conference on Artificial Intelligence and automation control, AIAC 2024

作者： Liang, Xiao Zeng, Pengfei Hao, Yongping School of Mechanical Engineering Shenyang Ligong University Shenyang110159 China Liaoning Province Key Laboratory of Advanced Manufacturing Technology and Equipment Shenyang Ligong University Shenyang110159 China

ISBN: (纸本)9798331529147

In response to the issues caused by unclear knowledge expression during assembly process, an in-depth analysis was conducted on the sources and domain characteristics of fuze assembly process knowledge. Based on this analysis, the assembly process knowledge was categorized using ontology according to its characteristics. Attributes, relationships, and instances were extracted for the domain knowledge of fuze assembly processes, making thorough preparations for constructing the fuze assembly process knowledge model. The ontology for fuze assembly process knowledge was established using ontology modeling tools and the OWL language, creating a unified knowledge description system. Semantic annotation based on ontology was employed to resolve semantic information issues encountered by computers in understanding fuze assembly process knowledge. A knowledge management system for fuze assembly processes was developed using the Django framework, which realized the semanticization of fuze assembly process knowledge and improved retrieval efficiency. © 2024 IEEE.

关键词： Ontology

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Basic process control System (BPCS) Design For Level Of Recirculating Water Tank Plant

Basic Process Control System (BPCS) Design For Level Of Reci...

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2023 International conference on advanced Mechatronics, Intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Aditia, Meidika Ilhami Mujiyanti, Ir. Safira Firdaus Patrialova, Ir. Sefi Novendra Nur Ahmadi, Fadhil Fadia, Sada Annisa Nugroho, Bagus Dwi Cahyo Sepuluh Nopember Institute of Technology Instrumentation Engineering Surabaya Indonesia

ISBN: (纸本)9798350309225

The tank process plant is an essential part of the industry. It is evident that many industries utilize tank process plants, such as the system control level in the oil and gas industry. Over time, various issues have arisen with the system control level, such as slow dynamic responses to changing conditions. Water Level control is one of the many systems present in the industrial world. By using this system, there is no need to worry about water overload or lack of water. The Basic process control System (BPCS) in the water level tank serves to control the water level in the plant. The plant's water level tank employs a closed-loop control system that utilizes a submersible level sensor and a PLC controller. The results of the dynamic response characteristics analysis with the values of maximum overshoot, settling time, and steady-state error are as follows: The maximum overshoot is 14.29%, the settling time is 578 seconds, and the steady-state error is 2.86%. © 2023 IEEE.

关键词： Water levels

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