scholarly journals Intelligent Control System of Internal Expansion over Bending and Calibration (IEOBC) Process for Large Pipe Ends

Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1618
Author(s):  
Ruixue Zhai ◽  
Zhaoxu Jiao ◽  
Yashuai Han ◽  
Jun Zhao ◽  
Gaochao Yu
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Effective Means ◽  
Calibration Process ◽  
Labview Software ◽  
Intelligent Control System ◽  
Internal Expansion ◽  
Stability And Accuracy

The flattening and asymmetry of a pipe end section seriously affects the welding quality between pipes, therefore the calibration process for pipe end to improve roundness is essential. Because the calibration for a pipe end involves local elastic-plastic deformation for the end effect, it is still difficult to establish an accurate theoretical model. The reasonable and intelligent control method is nevertheless an effective means to improve the production efficiency. In this paper, an internal expansion over bending and calibration (IEOBC) process is introduced. According to the characteristics of the process, the structure of the mobile intelligent calibration machine for large pipe ends is designed, and the intelligent control hardware system of the machine is built. Based on the LabVIEW software platform, an intelligent control software system for the IEOBC process is developed. A three-step control strategy is combined with pipe size detection and ovality recognition. The intelligent prediction and execution of the calibration process parameters are realized. The experimental results show that the intelligent control system has good stability and accuracy, and the ovality can be controlled within 0.5%.

scholarly journals An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

2021 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Coupling Mechanism ◽  
Real Time Monitoring ◽  
Dynamic Compensation ◽  
Positive Role ◽  
Intelligent Control System

Abstract Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production efficiency of the remanufacturing assembly (reassembly) systems. First, the state space model of reassembly is constructed and deduced to reveal the quality transfer and coupling mechanism of reassembly process. An optimization model of the reassembly scheme is established for minimizing the comprehensive cost. Then, an intelligent control system for reassembly process is proposed, which is a real-time monitoring and dynamic compensation response to address abnormal quality and to achieve intelligent control of reassembly process. The data model, information perception and fusion technology, real-time monitoring and dynamic compensation of reassembly quality are studied and implemented. Finally, the prototype intelligent control system of reassembly is developed, which illustrates its practicability offering a technical support for sustainability of remanufacturing. It can monitor the abnormal quality in real time and make dynamic compensation response, and realize the intelligent control of reassembly process. It plays a positive role in improving quality, reducing cost and enhancing customer satisfaction. This intelligent control method is more suitable for the reassembly system of complex machinery, especially under uncertain operating environment.

scholarly journals Data-driven remanufacturing assembly intelligent control system for improving resource and production efficiency

2020 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Sustainable Manufacturing ◽  
Data Driven ◽  
Real Time Monitoring ◽  
Dynamic Compensation ◽  
Intelligent Control System

Abstract Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. This paper proposes a data-driven intelligent control system for improving the production and resource efficiency of the remanufacturing assembly systems. First, an optimization model of the reassembly scheme is established for minimizing the quality loss and comprehensive cost. Remanufactured parts are measured, grouped, coded, and dimensional chain calculated based on the data acquisition and processing technology. Then, an intelligent control method for remanufacturing assembly process is proposed, which is a real-time monitoring and dynamic compensation response to abnormal quality to achieve intelligent control of reassembly process. The intelligent control information system that include information perception and fusion technology, real-time monitoring and dynamic compensation architecture are studied and implemented through data-driven technologies. Finally, a case study illustrates its practicability offering a technical support for sustainability of remanufacturing.

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

Implementation of Intelligent Control System for Autonomous Underwater Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Underwater Vehicle ◽  
Intelligent Control System ◽  
Azov Sea ◽  
Complex Simulation ◽  
Point To Point

This paper introduces the implementation of intelligent motion control and planning for autonomous underwater vehicle (AUV). Previously developed control system features intelligent motion control and planning subsystem, based on artificial neural networks. It allows detecting and avoiding moving obstacles in front of the AUV. The motion control subsystem uses position-trajectory control method to position AUV, move from point to point and along given path with given speed. Control system was tested in the multi-module simulation complex. Simulation showed good results – AUV successfully achieved given goals avoiding collisions not only with static obstacles, but also with mobile ones. That allows using the proposed control system for the groups of vehicles. Besides simulation, control system was implemented in hardware. AUV prototype passed tests in Azov Sea and proved its efficiency.

Design of the Intelligent Control System for Mine Hoist

2013 ◽  
Vol 427-429 ◽  
pp. 957-960 ◽  
Author(s):  
Guo Huan Lou ◽  
Chao Chen
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Ant Colony Algorithm ◽  
Wireless Data ◽  
Intelligent Control System ◽  
Actual Application ◽  
Wireless Data Transmission ◽  
Adaptive Pid Control ◽  
Mine Hoist

Traditional mine hoists have the characteristics of using more meters, complex operation and low production efficiency. To solve these problems, this article introduces an intelligent control system for mine hoist. In the system the industrial fieldbus is combined with the wireless network, the communication protocol of a point to multipoint is developed to realize wireless data collection and wireless data transmission between industrial computer with monitoring computers. For the speed control, a compound control algorithm of ant colony algorithm for optimal control and fuzzy self-adaptive PID control is presented to control hoist operation. Actual application shows that the system worked well.

The Design of Artificial Intelligence Control System for LED Based on ZigBee and Light Emitting Diode Materials

2012 ◽  
Vol 460 ◽  
pp. 290-294
Author(s):  
Yu Jie Zhang ◽  
Yun Liu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Intelligent Control ◽  
Design Method ◽  
Light Emitting Diode ◽  
Constant Intensity ◽  
Development Platform ◽  
Labview Software ◽  
Intelligent Control System ◽  
Intelligence Control

Due to the defects of traditional LED intelligent control system, the design scheme of artificial intelligence control system for LED based on ZigBee was proposed in this paper, which described the hardware and software design method of the system. The system used STM32 as the core and embedded BP neural network program in LabVIEW software, which can achieve the optimal intelligent control for LED under the LabVIEW development platform through ZigBee wireless network, including the functions of constant intensity of illumination lighting, compensation lighting, adaptive lighting and artistic lighting according with human body visual comfort. The system can be widely used in large lighting place and intelligent household application field.

Design of the Intelligent Control System Integration of Wastewater Treatment

2014 ◽  
Vol 716-717 ◽  
pp. 1591-1594
Author(s):  
Wen Hua Chen ◽  
Qiang Cai ◽  
Xu Wang
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Control System ◽  
Intelligent Control ◽  
High Efficiency ◽  
Control Method ◽  
Reference Value ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Intelligent Control System

In order to achieve the integrated process of wastewater treatment, this research designs a kind of intelligent control system that can monitoring water quality parameters in real-time, which is small, convenient control, high efficiency and low consumption. The acquisition station and control station of the system are based on STM32F107 and industrial control tablet, combined with IASBR process to achieve simultaneous removal of organic matter, nitrogen, phosphorus and COD in wastewater. This system can monitor water temperature, pH, ORP, DO and other water quality parameters. Aiming at the uncertainty of the DO in process control, the fuzzy control method is proposed to realize the rationalization of aeration, meet the needs of wastewater biochemical treatment of the DO. It has a certain reference value to the intelligent development of integrated wastewater treatment.

An Intelligent Control System of Candy Production Process

2011 ◽  
Vol 282-283 ◽  
pp. 658-661
Author(s):  
Jia Liang Zhang ◽  
Bei Zhi Li ◽  
Jian Guo Yang ◽  
Han Yan Chen
Keyword(s):  
Control System ◽  
Production Process ◽  
Intelligent Control ◽  
Virtual Instrument ◽  
Production Efficiency ◽  
Sensor Data ◽  
Process Data ◽  
Increase Production Efficiency ◽  
Intelligent Control System ◽  
Multi Sensor Data Fusion

Candy production processes involve many process variables. Operators often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, and take appropriate actions to control the processes. The objective of this work is to develop an intelligent control system of candy production process to improve final candy quality and to increase production efficiency with good human-machine interfaces. The study is conducted by using virtual instrument, multi-sensor data fusion and fuzzy control technology to online detect and control typical parameters. Experiment results show that this system can reach requirements of processing accuracy and real-time property and is highly cost-efficient and practical.

Design and Simulation of Automatic Control System for Feed-Drier

2014 ◽  
Vol 548-549 ◽  
pp. 990-994
Author(s):  
Shu Yu Di ◽  
Huan Yu Chi
Keyword(s):  
Control System ◽  
Water Content ◽  
Intelligent Control ◽  
Frequency Conversion ◽  
Control Method ◽  
Experimental Studies ◽  
Drying Time ◽  
Intelligent Control System ◽  
Online Detecting ◽  
Protein Feed

Based on the research on the dynamic changes of the water content in the drying stages of using Alcohol to produce high-protein feed DDGS, advanced intelligent control method is proposed and water content in the feed and the drying time are used as the main control parameter. On the basis of one for there frequency conversion and PLC, intelligent control system for the drier fan is designed to realize the efficient control of quality online detecting and recognition in the drying process. Many problems such as low accuracy, large wastage, high cost and so on are solved and thereby the work efficiency of the drying unit is enhanced. On the basis of simulation, several test-beds were built, and a large number of experimental studies. This system proves to be the most efficient with drying and optimizing the dryer index at the different stages. The calculated results indicate that the drying method has drying efficient and energy saving features.

Application of Multi-Mode Intelligent Control System in Grate Cooler Optimization

2014 ◽  
Vol 536-537 ◽  
pp. 1137-1142
Author(s):  
Xiao Ming Li ◽  
Xiao Hong Wang ◽  
Hong Liang Yu
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Method ◽  
Linear Time ◽  
Good Control ◽  
Control Effect ◽  
Expert Control ◽  
Intelligent Control System ◽  
Grate Cooler ◽  
Multi Mode

According to the characteristics of non-linear, time-varying and large time delay in the control of grate cooler, a multi-mode intelligent control method is proposed in the paper.The multi-mode intelligent controller is builded up by variable integral PID control, fuzzy control, Bang-Bang control and expert control. This control method through a multi-mode intelligent control rules automatically identifies different modal and chooses a corresponding control algorithm to correct variable integral PID control.Industrial applications show that the control system has good robustness, achieved good control effect.

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