CNC Online Monitoring System Based on Internet of Things

2014 ◽  
Vol 1079-1080 ◽  
pp. 672-678 ◽  
Author(s):  
Lin Gui ◽  
Tian Yu Ruan ◽  
Zai Zhen Wang ◽  
Ai Cheng Sun ◽  
Miao Xu

With the development of modernization, how to implement the unified management and real-time monitoring becomes a key problem. With the requirements of Wuhan Heavy Duty Machine Tool Group Corporation, a CNC online monitoring system based on FANUC and Siemens system has been developed.

2017 ◽  
Vol 38 (4) ◽  
pp. 109-125 ◽  
Author(s):  
Piotr Żymełka ◽  
Daniel Nabagło ◽  
Tomasz Janda ◽  
Paweł Madejski

Abstract Balanced distribution of air in coal-fired boiler is one of the most important factors in the combustion process and is strongly connected to the overall system efficiency. Reliable and continuous information about combustion airflow and fuel rate is essential for achieving optimal stoichiometric ratio as well as efficient and safe operation of a boiler. Imbalances in air distribution result in reduced boiler efficiency, increased gas pollutant emission and operating problems, such as corrosion, slagging or fouling. Monitoring of air flow trends in boiler is an effective method for further analysis and can help to appoint important dependences and start optimization actions. Accurate real-time monitoring of the air distribution in boiler can bring economical, environmental and operational benefits. The paper presents a novel concept for online monitoring system of air distribution in coal-fired boiler based on real-time numerical calculations. The proposed mathematical model allows for identification of mass flow rates of secondary air to individual burners and to overfire air (OFA) nozzles. Numerical models of air and flue gas system were developed using software for power plant simulation. The correctness of the developed model was verified and validated with the reference measurement values. The presented numerical model for real-time monitoring of air distribution is capable of giving continuous determination of the complete air flows based on available digital communication system (DCS) data.


2012 ◽  
Vol 134 (3) ◽  
Author(s):  
M. Torres ◽  
F. J. Muñoz ◽  
J. V. Muñoz ◽  
C. Rus

The Guidelines for the Assessment of Photovoltaic Plants provided by the Joint Research Centre (JRC) and the International Standard IEC 61724 recommend procedures for the analysis of monitored data to asses the overall performance of photovoltaic (PV) systems. However, the latter do not provide a well adapted method for the analysis of stand-alone photovoltaic systems (SAPV) with charge regulators without maximum power point tracker (MPPT). In this way, the IDEA Research Group has developed a new method that improves the analysis performance of these kinds of systems. Moreover, it has been validated an expression that compromises simplicity and accuracy when estimating the array potential in this kind of systems. SAPV system monitoring and performance analysis from monitored data are of great interest to engineers both for detecting a system malfunction and for optimizing the design of future SAPV system. In this way, this paper introduces an online monitoring system in real time for SAPV applications where the monitored data are processed in order to provide an analysis of system performance. The latter, together with the monitored data, are displayed on a graphical user interface using a virtual instrument (VI) developed in LABVIEW®. Furthermore, the collected and monitored data can be shown in a website where an external user can see the daily evolution of all monitored and derived parameters. At present, three different SAPV systems, installed in the Polytechnic School of University of Jaén, are being monitorized and the collected data are being published online in real time. Moreover, a performance analysis of these stand-alone photovoltaic systems considering both IEC 61724 and the IDEA Method is also offered. These three systems use the charge regulators more widespread in the market. Systems #1 and #2 use pulse width modulation (PWM) charge regulators, (a series and a shunt regulator, respectively), meanwhile System #3 has a charge regulator with MPPT. This website provides a tool that can be used not only for educational purposes in order to illustrate the operation of this kind of systems but it can also show the scientific and engineering community the main features of the system performance analysis methods mentioned above. Furthermore, it allows an external user to download the monitored and analysis data to make its own offline analysis. These files comply with the format proposed in the standard IEC 61724. The SAPV system monitoring website is now available for public viewing on the University of Jaén. (http://voltio.ujaen.es/sfa/index.html).


LWT ◽  
2016 ◽  
Vol 68 ◽  
pp. 532-540 ◽  
Author(s):  
Byeong-Sam Kim ◽  
Minwoo Lee ◽  
Ji-Young Kim ◽  
Jae-Yoon Jung ◽  
Junemo Koo

2017 ◽  
Vol 9 (3) ◽  
pp. 28 ◽  
Author(s):  
Ashish Rauniyar ◽  
Mohammad Irfan ◽  
Oka Saputra ◽  
Jin Kim ◽  
Ah Lee ◽  
...  

New Metro ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 28-33
Author(s):  
Snan Taotao ◽  
Dong Guoxian

In accordance with the requirements of intelligent and scientific maintenance and repair for rail transit, the on-line monitoring and intelligent assessment technologies for infrastructure safety as well as vibration and noise indexes are studied. In connection with the line status of the Shanghai rail transit network, typical line sections are selected to lay out the online status monitoring equipment so as to track health and safety indexes of rails and real-time noise and vibration levels. By means of online real-time data collection and synchronous analysis technology, the Shanghai rail transit online monitoring system for track safety status and its vibration and noise takes shape, thereby achieving real-time monitoring for on-site vibration and noise as well as safety status, and providing assistant decision-making reports in connection with relevant index systems and in accordance with relevant time periods.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shunzhi Fan

In order to improve the stability of the electrical control system, based on the Internet of Things technology, this paper constructs an online monitoring system for electrical control based on the Internet of Things. Based on actual needs, communication requirements, and common communication methods in the remote monitoring system, this paper combines the requirements of actual remote communication to conduct a detailed comparative analysis of the principles, performance characteristics, reliability, cost, maintenance, and other aspects of various communication methods, proposes a plan that can meet the communication requirements of the system, and completes the design of the wireless linear link communication network. In addition, according to the three-tier architecture of the Internet of Things, this paper comprehensively uses the technologies related to the Internet of Things to design and develop the perception layer, transmission layer, and application layer. Finally, this paper designs experiments to test the performance of the system constructed in this paper. The research results show that the online monitoring system based on the Internet of Things constructed in this paper meets the needs of intelligent monitoring of the electrical control system.


2017 ◽  
Vol 13 (09) ◽  
pp. 123 ◽  
Author(s):  
Kehua Xian

<p><span style="font-family: 宋体; font-size: medium;">In order to develop a new convenient online monitoring system for Internet of things, an online monitoring system based on cloud computing is designed. The performance of this new Internet of things technology used in modern agricultural is test by Amazon relational database service (RDS) and ZigBee perception network. By analyzing the Internet of things related technologies and agricultural modernization, the integration framework of the Internet of things, cloud computing and data mining technology in the field of modern agriculture are proposed. Through the modern agricultural Internet of things monitoring system, the Internet of things intelligent gateway, cloud based research and construction of large data analysis and data mining projects are verified. The experimental results show that the relevant parameters of the model are obtained by training about 70% of the original data after adopting the cloud computing. Based on the above finding, it is concluded that the open Internet of things platform needs to be supported by the powerful computing resources. In addition, the cloud computing technology is suitable for the development of the Internet of things service platform.</span></p>


2015 ◽  
Vol 9 (5) ◽  
pp. 1-10
Author(s):  
Weizheng Shen ◽  
Wenxiao Yu ◽  
Qingming Kong ◽  
Yu Zhang ◽  
Guanting Liu ◽  
...  

Author(s):  
Masmur Tarigan ◽  
Yaya Heryadi ◽  
Lukas ◽  
Antoni Wibowo ◽  
Wayan Suparta

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