A CNC Equipment Distributed Monitoring System Based on Cloud Computing Technology

Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of data in real-time. This research addresses the aforementioned issues by attempting to combine a mobile device with cloud computing technology to develop a photogrammetric measurement solution as part of a monitoring system for landslide hazard analysis. The research presented here focusses on (i) the development of an Android mobile application; (ii) the implementation of SfM-based open-source software in the Amazon cloud computing web service, and (iii) performance assessment through a simulated environment using data collected at a recognized landslide test site in North Yorkshire, UK. Whilst the landslide monitoring mobile application is under development, this paper describes experiments carried out to ensure effective performance of the system in the future. Investigations presented here describe the initial assessment of a cloud-implemented approach, which is developed around the well-known VisualSFM algorithm. Results are compared to point clouds obtained from alternative SfM 3D reconstruction approaches considering a commercial software solution (Agisoft PhotoScan) and a web-based system (Autodesk 123D Catch). Investigations demonstrate that the cloud-based photogrammetric measurement system is capable of providing results of centimeter-level accuracy, evidencing its potential to provide an effective approach for quantifying and analyzing landslide hazard at a local-scale.

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A Real Time Monitoring System for Physical Fitness of Athletes Based on Internet of Things and Cloud Computing

International Journal of Simulation Systems Science & Technology ◽

10.5013/ijssst.a.17.34.36 ◽

2016 ◽

Author(s):

Guest Editor Jonathan Arnold

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Physical Fitness ◽

Real Time ◽

Monitoring System ◽

Real Time Monitoring

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Design and Implementation of Computer Network Monitoring Software

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.686.201 ◽

2014 ◽

Vol 686 ◽

pp. 201-204

Author(s):

Jian Tao Cui

Keyword(s):

Real Time ◽

Monitoring System ◽

Communication Technology ◽

Image Coding ◽

Computer Network ◽

Network Monitoring ◽

Information Control ◽

Real Time Monitoring ◽

Real Time Control ◽

Time Control

This paper mainly studies the key technologies of network real-time monitoring system based on Client/Server, and implementation of a real-time monitoring system based on CS/ mode. Using the network communication technology, Winsock technology, TCP/IP protocol, image compression and transmission technology, the process of communication technology and object oriented software technology to realize the main frame module, the system include network monitoring data initialization module, data transmission module, image coding and decoding module, its advantage is to make full use of the existing network resources, the highest price, with real-time information control and real-time control as the center, timely delivery and management of information.

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TOWARDS A LOW-COST, REAL-TIME PHOTOGRAMMETRIC LANDSLIDE MONITORING SYSTEM UTILISING MOBILE AND CLOUD COMPUTING TECHNOLOGY

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b5-791-2016 ◽

2016 ◽

Vol XLI-B5 ◽

pp. 791-797

Author(s):

P. Chidburee ◽

J. P. Mills ◽

P. E. Miller ◽

K. D. Fieber

Keyword(s):

Cloud Computing ◽

Real Time ◽

Monitoring System ◽

Mobile Application ◽

Low Cost ◽

Landslide Hazard ◽

Initial Assessment ◽

Landslide Monitoring ◽

Computing Technology ◽

Photogrammetric Measurement

Close-range photogrammetric techniques offer a potentially low-cost approach in terms of implementation and operation for initial assessment and monitoring of landslide processes over small areas. In particular, the Structure-from-Motion (SfM) pipeline is now extensively used to help overcome many constraints of traditional digital photogrammetry, offering increased user-friendliness to nonexperts, as well as lower costs. However, a landslide monitoring approach based on the SfM technique also presents some potential drawbacks due to the difficulty in managing and processing a large volume of data in real-time. This research addresses the aforementioned issues by attempting to combine a mobile device with cloud computing technology to develop a photogrammetric measurement solution as part of a monitoring system for landslide hazard analysis. The research presented here focusses on (i) the development of an Android mobile application; (ii) the implementation of SfM-based open-source software in the Amazon cloud computing web service, and (iii) performance assessment through a simulated environment using data collected at a recognized landslide test site in North Yorkshire, UK. Whilst the landslide monitoring mobile application is under development, this paper describes experiments carried out to ensure effective performance of the system in the future. Investigations presented here describe the initial assessment of a cloud-implemented approach, which is developed around the well-known VisualSFM algorithm. Results are compared to point clouds obtained from alternative SfM 3D reconstruction approaches considering a commercial software solution (Agisoft PhotoScan) and a web-based system (Autodesk 123D Catch). Investigations demonstrate that the cloud-based photogrammetric measurement system is capable of providing results of centimeter-level accuracy, evidencing its potential to provide an effective approach for quantifying and analyzing landslide hazard at a local-scale.

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Real-time monitoring system for paddy environmental information based on DC powerline communication technology

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2017.01.002 ◽

2017 ◽

Vol 134 ◽

pp. 51-62 ◽

Cited By ~ 4

Author(s):

Ying Huang ◽

Cuicui Li

Keyword(s):

Real Time ◽

Monitoring System ◽

Communication Technology ◽

Environmental Information ◽

Real Time Monitoring ◽

Powerline Communication

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Design of Real-Time Monitoring System for Environmental Engineering based on Cloud Computing

Pollution Engineering ◽

10.17762/pe.v52i3.48 ◽

2020 ◽

Vol 52 (3) ◽

pp. 01-02

Author(s):

Chung Lạc

Keyword(s):

Cloud Computing ◽

Distributed Computing ◽

Real Time ◽

Monitoring System ◽

Environmental Engineering ◽

Real Time Monitoring ◽

Natural Conditions ◽

Ultimate Objective ◽

Natural Boundaries

Following the biological boundaries variety is significant remembering the ultimate objective to settle on the idea of our condition designing. This paper targets distinguishing and enumerating the adjustments in the natural boundaries. Ecological observing applications dependent on distributed computing utilizes sensors to help in ensuring natural conditions like hotness, air eminence, quake, etc. For example, the PCs can support and give substantially more functionalities to cloud. The noteworthy zones that spread home, enterprises, structures, etc. This is the route toward watching a portion of the element of condition and accordingly giving the highlights to the overseers and customers.

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Temperature and Humidity Monitoring System Based on CC2530

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.333-335.460 ◽

2013 ◽

Vol 333-335 ◽

pp. 460-464

Author(s):

Bo Xu ◽

Yong Jun Zheng ◽

Yan Xin Yin ◽

Yu Tan

Keyword(s):

Data Collection ◽

Real Time ◽

Wireless Network ◽

Monitoring System ◽

Wireless Transmission ◽

Network Technology ◽

Real Time Monitoring ◽

Temperature And Humidity ◽

Measure Field ◽

Humidity Monitoring

This paper introduced a system based on wireless network technology, which achieved node-to-node data collection and transmission. The ZigBee-based wireless network of the system adopted the chip CC2530 of TI company. The system developed applications based on Z-STACK for data collection and wireless transmission, it used VC++ to make a PC software for real-time monitoring of temperature and humidity. The research results show the feasibility of the system, and it would be widely used in the measure field of agriculture.

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