Remote Advanced Supervision and Diagnostics of Robotized Welding Cell

2013 ◽  
Vol 198 ◽  
pp. 39-44
Author(s):  
Zbigniew Pilat ◽  
Jacek Zieliński ◽  
Marcin Słowikowski
Keyword(s):  
Real Time ◽  
Remote Monitoring ◽  
Global Network ◽  
Diagnostic Tools ◽  
Practical Solution ◽  
The Real ◽  
Welding Equipment ◽  
Advanced Control ◽  
The Status ◽  
Effective Exchange

Welding equipment and other components included in the robotized or automated welding station are now usually equipped with advanced control. It not only enables effective exchange of the information between components of the system, but also allows to implement a very efficient hardware and software diagnostic tools, which is not commonly utilized, especially in smaller installations. The use of communication controllers and devices connected to the global network shall enable the realization of such monitoring in remote mode and with the use of modern ICT solutions the effectiveness of such monitoring will be greatly increased. Device operators and technologists will gain the ability to monitor remotely the status of these devices as well as the processes even in the real time [. This article presents a practical solution of implementing remote monitoring to the welding installation with the use of WEB2.0 services.

scholarly journals Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3930 ◽  
Author(s):  
Ayaz Hussain ◽  
Umar Draz ◽  
Tariq Ali ◽  
Saman Tariq ◽  
Muhammad Irfan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Real Time ◽  
Air Pollutants ◽  
Garbage Collection ◽  
Air Pollutant ◽  
Real Time Monitoring ◽  
Collection System ◽  
The Real ◽  
The Status

Increasing waste generation has become a significant issue over the globe due to the rapid increase in urbanization and industrialization. In the literature, many issues that have a direct impact on the increase of waste and the improper disposal of waste have been investigated. Most of the existing work in the literature has focused on providing a cost-efficient solution for the monitoring of garbage collection system using the Internet of Things (IoT). Though an IoT-based solution provides the real-time monitoring of a garbage collection system, it is limited to control the spreading of overspill and bad odor blowout gasses. The poor and inadequate disposal of waste produces toxic gases, and radiation in the environment has adverse effects on human health, the greenhouse system, and global warming. While considering the importance of air pollutants, it is imperative to monitor and forecast the concentration of air pollutants in addition to the management of the waste. In this paper, we present and IoT-based smart bin using a machine and deep learning model to manage the disposal of garbage and to forecast the air pollutant present in the surrounding bin environment. The smart bin is connected to an IoT-based server, the Google Cloud Server (GCP), which performs the computation necessary for predicting the status of the bin and for forecasting air quality based on real-time data. We experimented with a traditional model (k-nearest neighbors algorithm (k-NN) and logistic reg) and a non-traditional (long short term memory (LSTM) network-based deep learning) algorithm for the creation of alert messages regarding bin status and forecasting the amount of air pollutant carbon monoxide (CO) present in the air at a specific instance. The recalls of logistic regression and k-NN algorithm is 79% and 83%, respectively, in a real-time testing environment for predicting the status of the bin. The accuracy of modified LSTM and simple LSTM models is 90% and 88%, respectively, to predict the future concentration of gases present in the air. The system resulted in a delay of 4 s in the creation and transmission of the alert message to a sanitary worker. The system provided the real-time monitoring of garbage levels along with notifications from the alert mechanism. The proposed works provide improved accuracy by utilizing machine learning as compared to existing solutions based on simple approaches.

Preliminary validation of real-time PCR assays for the identification of Yersinia pestis

2008 ◽  
Vol 46 (9) ◽  
Author(s):  
Herbert Tomaso ◽  
Daniela Jacob ◽  
Meike Eickhoff ◽  
Holger C. Scholz ◽  
Sascha Al Dahouk ◽  
...  
Keyword(s):  
Yersinia Pestis ◽  
Real Time ◽  
Real Time Pcr ◽  
Rapid Identification ◽  
Diagnostic Tools ◽  
The Real ◽  
Preliminary Validation ◽  
Pcr Assays

Abstract:: A total of four samples of quantified: All participating laboratories were able to perform the real-time PCR assays according to the protocols provided and identified the samples containing: Our real-time PCR system proved to be highly reproducible and has the potential of complementing the diagnostic tools for rapid identification ofClin Chem Lab Med 2008;46:1239–44.

The Design of Product Packaging Transmission Line Control System Based on Siemens PLC

2014 ◽  
Vol 709 ◽  
pp. 327-330
Author(s):  
Zong Yang Zhong ◽  
Hui Lai Sun
Keyword(s):  
Control System ◽  
Transmission Line ◽  
Real Time ◽  
Control Program ◽  
Main Function ◽  
Time Data ◽  
Product Packaging ◽  
The Real ◽  
Real Time Data ◽  
The Status

This paper mainly introduces a kind of product packaging transmission line control system based on Siemens S7-200 PLC. It elaborated the main function principle of the system and the implementation of the control program; SIMATIC WinCC flexible 2008 of SIEMENS was used to monitor the status of the system, and display the real-time data and alarm report. At the same time the system can also be controlled by the screen.

Research and Application of Real-Time Remote Monitoring and Early Warning System of Source Water Quality

2013 ◽  
Vol 779-780 ◽  
pp. 1408-1413
Author(s):  
Shu Yuan Li ◽  
Jian Hua Tao ◽  
Lei Yu
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Early Warning ◽  
Remote Monitoring ◽  
Early Warning System ◽  
Warning System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The Real ◽  
Monitoring And Early Warning

Drinking water sources play an important role in assurance of life safety, normal production and social stability. In this paper, a real-time remote water quality monitoring and early warning system has been developed. The paper concentrates on the system architecture and key techniques of the real-time water quality monitoring and early warning. The implementation of the system by advanced water quality sensor techniques, wireless transmission, databases and water quality modeling is retraced in detail. It can be applied to the real-time remote monitoring of water quality and decision support for water pollution incidents.

The Design of Remote Monitoring System of PM2.5 Air Quality Based on ARM-M3 Ethernet

2014 ◽  
Vol 926-930 ◽  
pp. 2143-2146
Author(s):  
Xiu Wei Fu ◽  
Li Fu ◽  
Jing Li
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Human Life ◽  
The Real ◽  
Remote Monitoring System ◽  
Testing Data ◽  
Quality Testing ◽  
Real Time Detection

Human life and work are affected by PM2.5, so it is very necessary to get the real-time detection of PM2.5 every day. Remote monitoring is achieved by the LM3S8962 with Ethernet module as control core, and then the detect signals about PM2.5 air quality are transmitted by Ethernet communications. It has been proved by our experiment that Air quality testing data can be obtained in real time by experiments. It can be conclusion that the data of experimental is right by comparing.

scholarly journals Implementation of Real-Time Monitoring of Working Conditions to Improve the Monitoring Level of VOCs Pollution

2020 ◽  
Vol 145 ◽  
pp. 02071
Author(s):  
Zhipeng Zhuang ◽  
Bing Hong ◽  
Weiming Liu ◽  
Tongsheng Chen ◽  
Baoyuan Huang
Keyword(s):  
Real Time ◽  
Working Conditions ◽  
Organic Waste ◽  
National Policy ◽  
Real Time Monitoring ◽  
Time Data ◽  
The Real ◽  
Waste Gas ◽  
The Status ◽  
The Government

It is imperative to improve the monitoring level of organic waste gas pollution by carrying out real-time monitoring of working conditions, which is in line with national policy and social development. Due to the complex composition, widespread distribution of pollution sources and unorganized emission, it is difficult to control organic waste gas effectively only by current emission regulation. The government should follow up continuously and in real time the status of environmental protection equipment opened by polluting enterprises when the technical conditions permits. It is realized the real-time data collection, transmission, storage and form various reports to monitor, check and judge the working status. Through the implementation of the real-time monitoring of working conditions, the supervision efficiency is improved, the management means is enriched, and a great deal of manpower and management costs are saved.

A Remote Monitoring System for Data-Center Based on GSM/GPRS Network

2013 ◽  
Vol 846-847 ◽  
pp. 388-391 ◽  
Author(s):  
Hui Min Sui ◽  
Qin Long Wu ◽  
Huan Yang ◽  
Gui Fu Yang ◽  
Zhi Qiang Ma
Keyword(s):  
Remote Control ◽  
Real Time ◽  
Wireless Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Data Center ◽  
Room Temperature ◽  
Serial Port ◽  
Remote Monitoring System ◽  
The Status

This paper presents the remote monitoring system for data-center based on GSM/GPRS Network. The System real-time monitors the data-center room temperature through ZigBee wireless network, and gets the air conditionings and servers running status through the serial port, and achieves communication to administrator through SMS-Modem and GSM/GPRS Network. This system enables administrators can easily understand the status of the data-center room and remote control the data-center room anytime and anywhere.

scholarly journals On the Importance of Characterizing Virtual PMUs for Hardware-in-the-Loop and Digital Twin Applications

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6133
Author(s):  
Alessandro Mingotti ◽  
Federica Costa ◽  
Diego Cavaliere ◽  
Lorenzo Peretto ◽  
Roberto Tinarelli
Keyword(s):  
Real Time ◽  
Measurement Unit ◽  
Hardware In The Loop ◽  
The Real ◽  
Digital Twin ◽  
The Status ◽  
Simulated Network ◽  
Uncertainty Contribution

In recent years, the introduction of real-time simulators (RTS) has changed the way of researching the power network. In particular, researchers and system operators (SOs) are now capable of simulating the complete network and of making it interact with the real world thanks to the hardware-in-the-loop (HIL) and digital twin (DT) concepts. Such tools create infinite scenarios in which the network can be tested and virtually monitored to, for example, predict and avoid faults or energy shortages. Furthermore, the real-time monitoring of the network allows estimating the status of the electrical assets and consequently undertake their predictive maintenance. The success of the HIL and DT application relies on the fact that the simulated network elements (cables, generation, accessories, converters, etc.) are correctly modeled and characterized. This is particularly true if the RTS acquisition capabilities are used to enable the HIL and the DT. To this purpose, this work aims at emphasizing the role of a preliminary characterization of the virtual elements inside the RTS system, experimentally verifying how the overall performance is significantly affected by them. To this purpose, a virtual phasor measurement unit (PMU) is tested and characterized to understand its uncertainty contribution. To achieve that, firstly, the characterization of a virtual PMU calibrator is described. Afterward, the virtual PMU calibration is performed, and the results clearly highlight its key role in the overall uncertainty. It is then possible to conclude that the characterization of the virtual elements, or models, inside RTS systems (omitted most of the time) is fundamental to avoid wrong results. The same concepts can be extended to all those fields that exploit HIL and DT capabilities.

Research of Hanging Rail Car Network Control

2012 ◽  
Vol 229-231 ◽  
pp. 2174-2177
Author(s):  
Ke Xiao ◽  
Hu Li ◽  
Jing Zhong Wang
Keyword(s):  
Real Time ◽  
Remote Monitoring ◽  
Network Control ◽  
Moving Vehicle ◽  
Electronic Map ◽  
The Real ◽  
Vehicle Monitoring ◽  
Timely Response

A vehicle monitoring and dispatching system based on GPS and GPRS technologies is designed in this paper. This system communicate with server, upload GPS information and timely response to the various instructions issued from server through the Socket, and the position of moving vehicle is shown in the electronic map in the monitor center. Various control instructions issued by the server to achieve the remote monitoring of the vehicle, the real-time controlling of the multbvehicle system is achieved.

Implementation of the Real-Time Parameters Monitoring System for Underground Equipments Based on Panoramic Images

2012 ◽  
Vol 155-156 ◽  
pp. 825-830
Author(s):  
Bo Qiang Shi ◽  
Chen Guang Zhao ◽  
Zhi Jun Hao ◽  
Ming Chong Xu ◽  
Chen Tong Bian
Keyword(s):  
Complex System ◽  
Real Time ◽  
Monitoring System ◽  
Coal Mine ◽  
Sensor Data ◽  
The Real ◽  
Status Monitoring ◽  
The Status ◽  
Panoramic Images ◽  
Time Parameters

Underground equipments in coal mine is a complex system, in order to ensure coal mine works safety, monitor the status of underground equipments is an important part in commanding and dispatching system. Monitoring system for underground equipments based on panoramic images, is combined with the static panoramic images of underground surrounding and real-time sensor data, not only realize real-time status monitoring for underground equipments, but also get a direct impression for underground surrounding. B/S mode is applied in the monitoring system, is convenient for users to monitor the equipments, decreases the load of the DB Server. Meantime it can reduce the waste of the resource. Therefore it is a simple and effective monitoring system.

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