scholarly journals ONLINE MONITORING AND CONTROL AQUAPONICS USING LAB VIEW

2016 ◽  
Vol 05 (34) ◽  
pp. 23-27 ◽  
Author(s):  
Jijin C K .
Keyword(s):  
Online Monitoring ◽  
Monitoring And Control ◽  
Lab View ◽  
And Control

Observer Design for State Estimation of UV Curing Processes

2014 ◽  
Author(s):  
Adamu Yebi ◽  
Beshah Ayalew ◽  
Satadru Dey
Keyword(s):  
State Estimation ◽  
Online Monitoring ◽  
Uv Curing ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Advanced Manufacturing ◽  
Monitoring And Control ◽  
State Observers ◽  
State Measurement ◽  
And Control

This article discusses the challenges of non-intrusive state measurement for the purposes of online monitoring and control of Ultraviolet (UV) curing processes. It then proposes a two-step observer design scheme involving the estimation of distributed temperature from boundary sensing cascaded with nonlinear cure state observers. For the temperature observer, backstepping techniques are applied to derive the observer partial differential equations along with the gain kernels. For subsequent cure state estimation, a nonlinear observer is derived along with analysis of its convergence characteristics. While illustrative simulation results are included for a composite laminate curing application, it is apparent that the approach can also be adopted for other UV processing applications in advanced manufacturing.

Online Monitoring System for Domestic Distribution Box

2015 ◽  
Vol 785 ◽  
pp. 236-240
Author(s):  
Tan Jen Hau ◽  
N.M. Nor ◽  
T. Ibrahim ◽  
H. Daud
Keyword(s):  
Parallel Processing ◽  
Monitoring System ◽  
Online Monitoring ◽  
Monitoring And Control ◽  
Upper Limit ◽  
Parallel Storage ◽  
Multiple Threads ◽  
Online Monitoring System ◽  
Sqlite Database ◽  
And Control

A new method for monitoring and control of domestic distribution box is proposed and developed for automated recovery of power continuity during interruption. The system automatically test each of the sockets to determine the source of the failure and isolate them. The data of the modified connection will be sent to the client through a server, wirelessly to notify the user the modifications made. Parallel processing via multi-threading in the server are used to increment the upper limit of TCP transmission's throughput. Multiple SQLite database are used by multiple threads for parallel storage of data to increase performance.

scholarly journals State of the Art of Online Monitoring and Control of the Coagulation Process

Water ◽  
2015 ◽  
Vol 7 (11) ◽  
pp. 6574-6597 ◽  
Author(s):  
Harsha Ratnaweera ◽  
Joachim Fettig
Keyword(s):  
Online Monitoring ◽  
State Of The Art ◽  
Monitoring And Control ◽  
Coagulation Process ◽  
And Control

scholarly journals LABVIEW SIMULATION FOR SPEED CONTROL OF INDUCTION MOTOR

2013 ◽  
pp. 279-283
Author(s):  
L. VENKATESAN ◽  
A.D. JANARTHANAN ◽  
S. GOWRISHANKAR ◽  
R. ARULMOZHIYAL
Keyword(s):  
Control System ◽  
Remote Control ◽  
Induction Motor ◽  
Monitoring And Control ◽  
Industrial Control ◽  
Drive Control ◽  
Lab View ◽  
Industrial Monitoring ◽  
User Friendly ◽  
And Control

Today's Industrial Control Applications are done by Remote Process only. Lab VIEW Software plays major role in Industrial Monitoring and control systems. In this paper i am going to discuss about Lab View based induction motor drive control system. It is One of the most common applications required in remote control and monitoring. Drive control system has various types of controller, in order to perform some actions such as control the speed, forward and reverse turning direction of the motor. This approach can be done by Lab VIEW programming, and with the rise of the technology, Ethernet module will be used in order to achieve the remote control system. Lab VIEW is a human machine interfaces design software that is user friendly. It can be easily communicate with different hardware.

Ventilation online monitoring and control system from the perspectives of technology application

2019 ◽  
Vol 29 (4) ◽  
pp. 587-602 ◽  
Author(s):  
Hao-Cheng Zhu ◽  
Chuck Wah Yu ◽  
Shi-Jie Cao
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Online Monitoring ◽  
Prediction Models ◽  
Computing Time ◽  
Monitoring And Control ◽  
Saving Energy ◽  
Technology Application ◽  
And Control

Dynamic optimal airflow ventilation can have a great impact on the indoor air distribution and pollutant removal to improve the indoor air quality while saving energy. An online monitoring and control ventilation system has been developed and evaluated using fast prediction models and micro-control. An environmental chamber (1.8 m3) was used for the evaluation to monitor the CO2 dispersion under different air change rates and air speed. Specifically, an artificial neural network model based on a low-dimensional linear ventilation model was introduced and validated to provide environmental control and rapid prediction of pollutant concentration distribution in the indoor environment, which can save computing time and significantly enhance energy saving efficiency up to 16–47%. The validation was carried out by comparison with measurement data of the chamber experiment. An induction system was applied to locate and monitor the personnel in the office due to pollution that are generated by people. A ZigBee wireless module would transmit location information of pollutant source (i.e. CO2 generated by occupants) and to determine the optimal ventilation mode based on ventilation assessment to achieve automatic control of indoor air quality to ensure the wellbeing of occupants while saving energy.

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