scholarly journals Real-Time Implementation of a Fully Automated Industrial System Based on IR 4.0 Concept

Actuators ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 318
Author(s):  
Bashir Salah

With the advent of modern communication and control strategies, existing industrial enterprises are now being transformed as per Industrial Revolution (IR) 4.0 standards to maximize production rates and monetary gains. To cope with the pace of the modern technological revolution, the Government of Saudi Arabia has launched “Vision 2030”. This research article presents the full automation process of an existing production line at the College of Engineering, King Saud University, as per “Vision 2030” guidelines. Initially, a production line was designed to produce flavored yogurt bottles from a user-defined flavor and plain yogurt mixture. The research project was completed in two phases. During phase I, smart sensing, control, and automation equipment were used to minimize human intervention, the so-called semi-automated mode of operation. A bottle-feeding mechanism and robotic arms were later integrated to eliminate human intervention during the second phase. Moreover, during phase II, Node-RED, Telegram Bots, and a Raspberry Pi 4 controller were used to achieve IoT-based monitoring and control as per Industry 4.0 requirements. A comparative performance analysis was conducted between semi-automated and fully automated modes of operation to demonstrate the benefits of the fully automated operational mode. The performance of the fully automated system was found to be superior in comparison with the semi-automated system.


2017 ◽  
Vol 16 (2) ◽  
pp. 03
Author(s):  
D. A. L. D’Agostin ◽  
G. M. Domene ◽  
A. S. Oliveira ◽  
M. J. C. Bonfim ◽  
A. B. Mariano

The objective of this work was to design a automate system for microalgae cultivation on a continuous modes in laboratory scale and allow its remote monitoring and control. For this, a sensor were developed is able to measure biomass concentration. The concentration sensor used the principle of light scattering, that is, by measuring the turbidity of the culture medium by the use of a set of phototransistor and green led. It presented an mean absolute percentage error of 8.46% during the experiment. A pH, temperature and light sensor were also installed. The control of all the sensors was accomplished by means of an microcontroller. For remote control and monitoring of the controller, a database was designed and implemented on a Raspberry Pi connected to the network. The graphics and data collected are available on an HTML page that allows changes in the control mode of the photobioreactor, for example by changing the dilution rates. The controller was able to operate the photobioreactor in batch mode, as well as to maintain the culture operating in continuous regime. The continuous production of microalgae biomass in a continuous regime showed productivity 74.5% higher than the traditional batch process and 28.2% higher than semicontinuous cultivation.



2014 ◽  
Vol 945-949 ◽  
pp. 3008-3011 ◽  
Author(s):  
Tih Ju Chu ◽  
An Pi Chang ◽  
Chao Lung Hwang ◽  
Jyh Dong Lin

The development of the intelligent green building project (IGBP) is the pursuit of a business strategy of an enterprise in principle and the launch of the project in practice. The IGBP is integrated with the application of the Project Definition Rating Index (PDRI) in order to combine the needs of pre-project planning. These are the steps to enhance the performance of project execution. The IGBP-PDRI model proposed to construct in this study is based on the life cycle of the engineering to set up different phases of work for process evaluation. The model of evaluation is divided into 4 sections, 11 categories, and 60 elements. Pre-project planning helps to forecast possible risks in the development of the project. In the course of project execution, quality requirement is satisfied through monitoring and control. These help to ensure the operation efficiency of the project, to the extent that the automated system of the building supported by green construction can meet the goal of sustainable development.



Author(s):  
С. Липина ◽  
S. Lipina ◽  
Л. Беляевская-Плотник ◽  
L. Belyaevskaya-Plotnik ◽  
Наталья Сорокина ◽  
...  

The article substantiates and presents the directions for automating the data necessary for conducting operational monitoring and control over the implementation of strategic planning documents. The urgency of work caused by the need to optimize the process of forming and reporting on the implementation of strategic planning documents at the federal level using the capabilities of the State Automated System “Management”. The transfer of functions for the generation and provision of reporting data through an automated platform is included in the activities for the digitization of the economy, which is an urgent and modern priority for national development. A special attention in the article given to the development of approaches to monitoring the implementation of the Strategy for the Social and Economic Development of the Russian Federation, currently under development, with a view to visualizing its results with the help of info graphic tools.



Author(s):  
Tripura Pidikiti , Et. al.

A Greenhouse is a framed structure that is used for the production of fruits, vegetables, flowers, and any other plants that require special conditions of temperature and humidity. Greenhouses warm up during the day-times when sun-rays penetrate through them, which heat the plant, soil and the structure. The greenhouse effect is a natural phenomenon and is very beneficial to the human being. With lack of proper green house monitoring and control system the production decline which leads to loss.There are many challenges starting from plant growth to maintenance for which monitoring and control of greenhouse is needed. This paper explains the design and implementation of a network with wireless sensors for greenhouse environment monitoring and controlling. This greenhouse control system is controlled by Raspberry pi with its wifi capability that is attached to a temperature sensor, soil moisture sensor, Light Dependent Resistor (LDR) sensor, 12V DC fan and pump. With the monitoring and control of greenhouse the performance of the system and production can be increased. A prototype was designed and builtup whose results were presented.



2021 ◽  
Vol 59 ◽  
pp. 127-137
Author(s):  
Feng-Que Pei ◽  
Yi-Fei Tong ◽  
Ming-Hai Yuan ◽  
Kun Ding ◽  
Xi-Hui Chen


Sign in / Sign up

Export Citation Format

Share Document