scholarly journals Control de brazo robótico clasificador mediante HMI y servidor Web

2019 ◽  
pp. 1-7
Author(s):  
Rafael Luna-Puente ◽  
Rosa Janette Peréz-Chimal ◽  
Carlos Hernández –Mosqueda ◽  
Jorge Ulises Muñoz-Minjarez
Keyword(s):  
Industry 4.0 ◽  
Complete System ◽  
Web Server ◽  
Robotic Arm ◽  
Monitoring And Control ◽  
Web Page ◽  
Routine Tasks ◽  
Machine Interface ◽  
And Control

The use of automated machines and its manipulation using artificial intelligence is increasingly common to perform routine tasks within the industrial field. The present work aims to show the automation of a robotic arm, its monitoring and control using a web server and a Human Machine Interface (HMI) screen. For this work a robotic arm MITSUBISHI was programmed for the classification of pieces based on their color. Subsequently, this system is monitored and controlled employing the programming of a web page and the design of an HMI created using the TIA-Portal software. As a result of this methodology, a complete system of industry 4.0 will be obtained, which can be implemented to control and monitor a robotic arm using a HMI screen and Web Server in the current industry. The systems used to carry out the control were a PLC S300 (cpu313C 2 DP) with ASI CP 343 2 DP network card, with 5 slaves, Keypad (Slave 1) Module 2DI (Slave 2), Optoreflexive Sensor (Slave 3) Set of valves FESTO (Slave 4) Modules2DI 2DO (Slave 5) 2DO an S1200 PLC (CPU 1214 C DC / DC / DC) an HMI screen (KTP600 Basic Mono DP) as color sort.

scholarly journals Smart Monitoring and Authenticated Door Access from Remote places

2020 ◽  
Vol 8 (5) ◽  
pp. 1775-1780
Keyword(s):  
Remote Monitoring ◽  
Web Server ◽  
Raspberry Pi ◽  
Monitoring And Control ◽  
Web Page ◽  
Embedded Web Server ◽  
Embedded Web ◽  
Remote Monitoring And Control ◽  
And Control ◽  
The Web

Securing our things is an important objective in our day-to-day life. If our belongings are not properly monitored, it may be stolen at any time. Hence the better way is prevention of theft than searching the lost belongings. Recently much importance is given regarding security of our home. There are situations where we may need to provide door access to people when we are away from our home. For example, while working at office, if you want to provide access to a plumber, then remote door access to be provided. By using our proposed work we can monitor our home from remote places and also we can have door access options. An embedded web server is used for the purpose of remote monitoring and control. The system for remote monitoring and control for door access is developed using Raspberry Pi embedded web server. The other components include Passive Infrared sensor (PIR), DC motor and Raspberry Pi camera module. Based on the PIR sensor and camera input, the secure access to the door for any person can be given through remote access. The access to the door can either be provided through application or the concerned web page. Both the application and the web page are password protected. The application is developed as an Android application and it can be installed in any android mobile phone. The web page is developed using PHP which is used as embedded server-side scripting language. After verifying the password the access to control the door is provided. This operation can be used in wide applications where physical presence is not possible all the time.

scholarly journals A Data-Driven Situational Awareness System for Enhanced Air Cargo Operations Emergency Control

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1087-1103
Author(s):  
Christos Spandonidis ◽  
Fotis Giannopoulos ◽  
Areti Petsa ◽  
Periklis Eleftheridis ◽  
Elias Sedikos
Keyword(s):  
Situational Awareness ◽  
Fire Suppression ◽  
Cost Optimization ◽  
Air Cargo ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Related Data ◽  
Machine Interface ◽  
And Control ◽  
Unloading Time

Based on the constant need for safety and operational cost optimization, the air-cargo industry is continually evolving in the context of Industry 4.0. Used wisely, data can help the industry to provide critical resilience that will allow authorities to take proper measures/actions in response to unexpected disasters and secure societal protection. The “INTELLICONT” project combines state-of-the-art technologies blended with novel solutions to improve the loading/unloading time, the structural status awareness, and the safety and security of the air-cargo related operations (prior to, during, and after the flight), as well as to enhance their capabilities related to the execution of their duties. The suggested system is contextually aligned and harmonized with the existing international and EU regulations. In the present work, the remote monitoring and control system for intelligent aircraft cargo containers have been presented from the software perspective. The intelligent containers integrate three types of sensors, Structural Health Monitoring, fire suppression, and locking status indication. The focus has been given to the design and development of a Human Machine Interface (HMI) capable to visualize all related data for better and safer control of the aircraft cargo. It is shown that the system can contribute to making the air transportations safer, environmentally friendlier, faster and with the lowest possible cost.

Intelligent Monitoring and Control of Industrial Processes Through the Internet

2002 ◽  
Author(s):  
Poi Loon Tang ◽  
Clarence W. de Silva ◽  
George Wang
Keyword(s):  
Low Cost ◽  
Web Server ◽  
Internet Technology ◽  
Industrial Processes ◽  
Main Element ◽  
Monitoring And Control ◽  
Process Scheduling ◽  
Multiple Control ◽  
Wide Availability ◽  
And Control

This paper presents a framework for developing a universal network infrastructure that would allow web-based monitoring and control of industrial processes, research facilities, and academic experiments. Internet technology is used here for its versatility, wide availability, and relative low cost. The main element of the infrastructure is a web-server, which connects to multiple control-servers, which in turn are connected to various processing modules within a local industrial facility, Since the web-server is the system centerpiece, which provides smooth information flow, a robust, intelligent, and autonomous scheduling scheme is required. Once such infrastructure is established, remote users in an academic or research environment, or in an industrial environment will be able to carry out a variety of tasks including experiments, monitoring and supervision, process scheduling and reconfiguration, using a web-browser. The flexibility and modularity of the developed networked infrastructure provide the rationale for implementing a multi-level hierarchical monitoring and control structure for a process. The usefulness of such a hierarchical structure is demonstrated through an application example on an industrial fish processing machine, which incorporates intelligent adaptive control.

scholarly journals Extending Legacy Industrial Machines by a Low-Cost Easy-to-Use IoT Module for Data Acquisition

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1486
Author(s):  
Laslo Tarjan ◽  
Ivana Šenk ◽  
Jelena Erić Obućina ◽  
Stevan Stankovski ◽  
Gordana Ostojić
Keyword(s):  
Industry 4.0 ◽  
Low Cost ◽  
Control Unit ◽  
Smartphone Application ◽  
Conveyor Belt ◽  
Global Network ◽  
Monitoring And Control ◽  
Variable Frequency Drive ◽  
Automation Systems ◽  
And Control

Industry 4.0 is a paradigm that enhances industrial automation systems with the recent advances in the domain of the Internet of Things (IoT), gaining new possibilities and providing new services. Traditional industrial machines do not have IoT capabilities, and in order to integrate such a machine into Industry 4.0, there is a need for an intermediary device or system that communicates with the machine through its supported communication interfaces and protocols and forwards the communication to the global network. This paper presents the development and experimental validation of a low-cost hardware module that can easily integrate the machine’s existing control unit into the IoT and enable synchronization of the measurements and states of the variables of the machine and its environment with a cloud server. The developed module is universal, can connect to any control unit that is able to communicate through basic RS232 serial communication, and does not require the control unit to have any higher level communication protocol implemented. On the other end, the presented solution uses a dedicated smartphone application to provide remote monitoring and control of the machine through the cloud by using the synchronized variable states, as well as further possibilities for storing, processing, and analyzing the historical data from the system. The developed solution was experimentally validated on an experimental setup consisting of a conveyor belt driven by a three-phase asynchronous electromotor controlled by a programmable logic controller through a variable-frequency drive.

scholarly journals Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study

Entropy ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 1243
Author(s):  
David Cuesta-Frau ◽  
Jakub Schneider ◽  
Eduard Bakštein ◽  
Pavel Vostatek ◽  
Filip Spaniel ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Continuous Monitoring ◽  
Monitoring And Control ◽  
Term Evolution ◽  
Entropy Measures ◽  
High Prevalence ◽  
Technological Developments ◽  
And Control

Bipolar Disorder (BD) is an illness with high prevalence and a huge social and economic impact. It is recurrent, with a long-term evolution in most cases. Early treatment and continuous monitoring have proven to be very effective in mitigating the causes and consequences of BD. However, no tools are currently available for a massive and semi-automatic BD patient monitoring and control. Taking advantage of recent technological developments in the field of wearables, this paper studies the feasibility of a BD episodes classification analysis while using entropy measures, an approach successfully applied in a myriad of other physiological frameworks. This is a very difficult task, since actigraphy records are highly non-stationary and corrupted with artifacts (no activity). The method devised uses a preprocessing stage to extract epochs of activity, and then applies a quantification measure, Slope Entropy, recently proposed, which outperforms the most common entropy measures used in biomedical time series. The results confirm the feasibility of the approach proposed, since the three states that are involved in BD, depression, mania, and remission, can be significantly distinguished.

scholarly journals Intelligent Sensor Platform with Open Architecture for Monitoring and Control of Industry 4.0 Systems

2021 ◽  
Vol XXIV (Special Issue 2) ◽  
pp. 597-606
Author(s):  
Krzysztof Krol ◽  
Andrzej Marciniak ◽  
Janusz Gudowski ◽  
Agnieszka Bojanowska
Keyword(s):  
Industry 4.0 ◽  
Open Architecture ◽  
Monitoring And Control ◽  
Intelligent Sensor ◽  
Sensor Platform ◽  
And Control
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