A real-time expert system for computer network monitor and control

Abstract – This final project report present a Pc based real time control of DC motor. Real time control systems can be defined as a technology which is related to mechanical application, electronic, and computer-based systems. In general, the equipment that is often used for controlling speed system is Arduino Mega 2560, DC motor, motor driver IC L298N, speed sensor IC LM393, and voltage sensor. Software in the system I used Matlab Simulink to monitor and control the speed of dc motor will show real data, they are displayed in signal RPM and signal Voltage, Matlab Simulink is used program to let the operator operates the system well. This monitor and control system can improve the effectiveness and efficiency in various industrial fields. Keyword – PC, Real Time, Control, DC Motor

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An application generator for a family of real-time monitor and control systems

COMPEURO'90: Proceedings of the 1990 IEEE International Conference on Computer Systems and Software Engineering@m_Systems Engineering Aspects of Complex Computerized Systems ◽

10.1109/cmpeur.1990.113635 ◽

2002 ◽

Author(s):

T. Benaya ◽

A. Yehudai

Keyword(s):

Control Systems ◽

Real Time ◽

And Control ◽

Monitor And Control

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Network Monitor and Control of Disruption-Tolerant Networks

SpaceOps 2014 Conference ◽

10.2514/6.2014-1740 ◽

2014 ◽

Cited By ~ 1

Author(s):

Jordan L. Torgerson

Keyword(s):

Disruption Tolerant Networks ◽

Network Monitor ◽

And Control ◽

Monitor And Control

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Design and Field Test of Virtual Instrument Based Monitor and Control System for Combine Harvester Automation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.2413 ◽

2011 ◽

Vol 130-134 ◽

pp. 2413-2416

Author(s):

Du Chen ◽

Shu Mao Wang ◽

You Chun Ding ◽

Feng Kang

Keyword(s):

Control System ◽

Real Time ◽

Field Test ◽

Virtual Instrument ◽

Online Information ◽

Operation Speed ◽

Combine Harvester ◽

Monitor And Control System ◽

And Control ◽

Monitor And Control

In this study an online monitor and control system was developed and tested based on virtual instrument environment for combine harvester automation. A data acquisition system and control elements were integrated into a self-propelled combine harvester. The following online information was recorded: performance parameters (threshing drum torque, engine speed, operation speed, etc), machine settings (reel speed, knife speed, drum speed, etc) and guidance information. The collected data were integrated into windows-based software for real-time processing. Image sensing information was used for swath detection and obtained results could be transmitted to the actuator for auto steering. The guidance error could be controlled in the range of 0.15 m during road surface test with centerline. The ground speed was adjusted by using the threshing power consumption data to improve work performance during field test. Experiments results indicated that it was possible to use virtual instrument environment based system to monitor operation data and conduct other real-time applications for field operation.

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Research on Computer Network Fault Diagnosis Mechanism Based on VXI

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.2967 ◽

2014 ◽

Vol 687-691 ◽

pp. 2967-2970

Author(s):

Tao Guo ◽

Zheng Qi Liu

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Real Time ◽

High Speed ◽

Computer Network ◽

Data Communication ◽

Failure Diagnosis ◽

Test Board ◽

High Speed Data ◽

Network Fault

For the problems of wear real-time, compatibility and intelligence, we have designed computer network test and failure diagnosis system based on VXI bus technology. The hardware and software of the system have been improved. To implement real time, high speed data communication and transmission, the functions of VXI test board have been extended. The degree of intelligence and automatization has been improved through introducing expert system in the design of software. These will provide new references for improvement of existing test and diagnosis systems of computer network equipments.

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AN EXPERT SYSTEM FOR TUNING PARTICLE BEAM ACCELERATORS

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001490000228 ◽

1990 ◽

Vol 04 (03) ◽

pp. 357-369

Author(s):

DARREL L. LAGER ◽

HAL R. BRAND ◽

WILLIAM J. MAURER

Keyword(s):

Expert System ◽

Real Time ◽

Experimental Test ◽

Particle Beam ◽

Particle Beams ◽

Software Program ◽

Intelligent Assistant ◽

And Control

An expert system that acts as an intelligent assistant to operators tuning a particle beam accelerator was developed. The system incorporates three approaches to tuning: (1) Duplicating within a software program the reasoning and the procedures used by an operator to tune an accelerator. This approach has been used to steer particle beams through the transport section of Lawrence Livermore National Laboratory's Advanced Test Accelerator and through the injector section of the Experimental Test Accelerator. (2) Using a model to simulate the position of a beam in an accelerator. The simulation is based on data taken directly from the accelerator while it is running. This approach will ultimately be used by operators of the Experimental Test Accelerator to first compare actual and simulated beam performance in real time, then to determine which set of parameters is optimum in terms of centering the beam, and finally to feed those parameters to the accelerator. Operators can also use the model to determine if a component has failed. (3) Using a mouse to manually select and control the magnets that steer the beam. Operators on the Experimental Test Accelerator can also use the mouse to call up windows that display the horizontal and vertical positions of the beam as well as its current.

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