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.

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%.

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.

Research on the Key Technologies of Intelligent Control for Cap-Shape Bending of Sheet Metal

2011 ◽  
Vol 239-242 ◽  
pp. 2867-2872
Author(s):  
Hong Lei Sun ◽  
Chun Jian Su ◽  
Rui Xue Zhai
Keyword(s):  
Neural Network ◽  
Control System ◽  
Real Time ◽  
Sheet Metal ◽  
Intelligent Control ◽  
Feed Forward Neural Network ◽  
Forming Process ◽  
Intelligent Control System ◽  
The Neural Network ◽  
Real Time Identification

The blueprint for an intelligent control system of cap-shape bending has been advanced in this paper using neural network technology, aiming at an accurate control of bending springback, the prominent problem during the forming process for the cap-shape bending of sheet metal. The feed-forward neural network of real-time identification for material performance parameters and the friction coefficient have been established. The neural network identifies the parameters for real-time needed material performance, which utilizes the measurability of the physical quantities, and predicts the parameters for optimum technology, so a satisfied accuracy of convergence has been achieved. The intelligent control experimentation system of cap-shape bending has been established, the validity of which has been tested for four kinds of materials. The result of the tests proves the feasibility of the blueprint of the intelligent control system.

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.

Real-Time Monitoring and Automatic Control for Aerosol Cultivation of Lettuce

2014 ◽  
Vol 678 ◽  
pp. 299-304
Author(s):  
Bao Guo Yao ◽  
Zhe Feng Zhang
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Real Time ◽  
Nutrient Solution ◽  
Control Method ◽  
Ph Value ◽  
Agricultural Science ◽  
Monitoring And Control ◽  
Real Time Monitoring ◽  
And Control

The automatic monitoring and control method for aerosol cultivation of lettuce was proposed by real-time monitoring and automatic control of the cultivation environment, on-line detection and automatic control of nutrient solution, and the combination of field control and remote control, which has realized the intelligent management of aerosol cultivation of lettuce based on plant factory. The monitoring and control system of aerosol cultivation, the control model for the spray frequency of nutrient solution and the fuzzy control method for the pH value control of nutrient solution were introduced. The control system has been applied in the agricultural science and technology park, and the results show that the aerosol cultivation of lettuce has advantages over the traditional method.

Design of Power Windows Based on POWERLINK Industrial Ethernet

2014 ◽  
Vol 494-495 ◽  
pp. 28-31
Author(s):  
Sheng Li Lu ◽  
Min Li ◽  
Mei Ling Liu
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Control Unit ◽  
Industrial Ethernet ◽  
The Real ◽  
Intelligent Control System ◽  
Central Controller ◽  
Lift Control ◽  
System Power

This paper proposes a design of intelligent control system power windows based on POWERLINK bus by introducing features and advantages of POWERLINK bus technology. The system implements the real-time communication between each control unit and central controller through the POWERLINK bus, largely enhancing the coordination of window lift control, improving security features such as anti-pinch and has good scalability and portability.

An Intelligent Control System for Digital Workshop Production

2009 ◽  
Vol 16-19 ◽  
pp. 75-83 ◽  
Author(s):  
Ju Jiang Cao ◽  
Yan Li
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Radio Frequency Identification ◽  
Wireless Lan ◽  
Production Control ◽  
Level Control ◽  
Bottom Level ◽  
Intelligent Control System ◽  
Key Enabling Technologies

In general, production control of digital workshops is a complicated systematical engineering. Because of lacking the methods and means of acquiring the manufacturing data in real time, the traditional production control methods cannot satisfy the real production control requirement of digital workshops. In this paper, we put forward an intelligent control system for digital workshop production. The main contributions include three aspects: Firstly, we introduce and adopt Radio Frequency Identification (RFID) technology as a means to acquire the manufacturing information in real time produced by the bottom-level manufacturing devices. Secondly, we develop the wcPML (workshop control with Physical Markup Language) and utilize it to act as a media to realize the information visualized description and transmission between the top-level control systems and bottom-level manufacturing sites of workshops. Thirdly, we adopt Java Web technology and wireless LAN to build the infrostructure for the intelligent control system for workshop production. Some key enabling technologies for the intelligent control system also are presented and described following with some concluding remarks.

Design of Water Level Intelligent Control System Based on SCM

2014 ◽  
Vol 602-605 ◽  
pp. 1395-1398 ◽  
Author(s):  
Min Zhang
Keyword(s):  
Control System ◽  
Water Level ◽  
Real Time ◽  
Intelligent Control ◽  
Pressure Sensor ◽  
Level Control ◽  
Small Water ◽  
Intelligent Control System ◽  
Control Interface ◽  
The Difference

A water level automatic control system based on SCM AT89C52 as a control core is designed in this paper. The system can automatically detect the water level by using a pressure sensor and can realize the intelligent control of water-level according to the difference between the real-time water level and the preset water level by using a big and a small water valves controlled by electric relays. At the same time, the system also has the functions of presupposition and real-time displaying of water level. The control system has the characteristics of simple intuitive control interface and good human-computer interaction. Protues simulation proved that this system achieve water level control well.

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