A Petri-net based distributed monitoring system using PIC microcontrollers

2005 ◽  
Vol 29 (5) ◽  
pp. 189-196 ◽  
Author(s):  
Marcos R. Frankowiak ◽  
Roger I. Grosvenor ◽  
Paul W Prickett
Keyword(s):  
Monitoring System ◽  
Petri Net ◽  
Distributed Monitoring

Design of Building PV Power Station Data Transmission and Monitoring System Based on ZigBee

2011 ◽  
Vol 121-126 ◽  
pp. 1259-1263
Author(s):  
Zhong Min Yao ◽  
Xi Guang Liu ◽  
Ya Zhen Wang
Keyword(s):  
Wireless Network ◽  
Monitoring System ◽  
Data Transmission ◽  
Management System ◽  
Continuous Extension ◽  
Remote Access ◽  
The Internet ◽  
Distributed Monitoring ◽  
Power Station ◽  
Power Company

With the application scale and area of the building PV power station continuous extension, data transmission and monitoring management of the building PV power station have become increasingly important.This paper introduces a kind of data delivering and distributed monitoring management system of the building PV power station based on ZigBee wireless network,this system has information transmission modules based on ZigBee wireless network, region monitoring and magement module and remote access module. ZigBee wireless network could deliver datas of the building PV power station to the center of region monitoring and management system,ultimately,the datas were deposited in the database of region monitoring and management system,The Electricity Regulatory Office and The Power Company used remote transmission and monitoring system by remote access system on the Internet, to access data reports of the building PV power station in the database of region monitoring and magement system.System test results can carry out the building PV power station’s data transmission, monitoring system’s data management and remote access by the Internet.

A CNC Equipment Distributed Monitoring System Based on Cloud Computing Technology

2014 ◽  
Vol 1022 ◽  
pp. 392-395 ◽  
Author(s):  
Rang Yong Zhang ◽  
Geng Ma ◽  
Guang He Cheng
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Wireless Network ◽  
Monitoring System ◽  
Communication Technology ◽  
Wide Area ◽  
Distributed Monitoring ◽  
Real Time Monitoring ◽  
Computing Technology ◽  
Remote Diagnostics

CNC equipment distributed monitoring system based on cloud computing technology provides a sable and reliable remote real time monitoring system to monitoring a mount of CNC equipment distributed in a large wide area by wireless network and GPRS communication technology which can be used to remote diagnostics and improve service respond speed.

scholarly journals Measurements of PM<sub>2.5</sub> with PurpleAir under atmospheric conditions

2019 ◽  
Author(s):  
Karin Ardon-Dryer ◽  
Yuval Dryer ◽  
Jake N. Williams ◽  
Nastaran Moghimi
Keyword(s):  
Monitoring System ◽  
Environmental Protection Agency ◽  
Low Cost ◽  
Air Monitoring ◽  
Atmospheric Conditions ◽  
Distributed Monitoring ◽  
Promising Tool ◽  
Concentration Changes ◽  
Air Quality Monitoring Stations ◽  
Monitoring Stations

Abstract. The PurpleAir PA-II unit is a low-cost sensor for monitoring changes in the concentrations of Particulate Matter (PM) of various sizes. There are currently more than 9000 PA-II units worldwide; some of them are located in areas where no other reference air monitoring system is present. Previous studies have examined the performance of these PA-II units (or the sensor within them) in comparison to a co-located reference air monitoring system. However, because PA-II units are installed by PurpleAir customers, the PA-II units are not co-located with a reference air monitoring system and, in many cases, are not near one. This study aimed to examine how PA-II units perform under atmospheric conditions when exposed to a variety of pollutants and PM2.5 concentrations. We were interested in knowing how accurate these PA-II units are when measuring PM2.5 concentrations with their sensitivity to concentration changes in comparison to the Environmental Protection Agency (EPA) Air Quality Monitoring Stations (AQMS) that are not co-located with them. For this study, we selected eight different locations, where each location contains multiple PA-II units (minimum of seven per location, a total of 86 units) and at least one AQMS (total of 14). PM2.5 measurements from each PA-II unit were compared to those from the AQMS and other PA-II units in its area. The comparisons were made based on hourly and daily PM2.5 measurements. In most cases, the AQMS and PA-II units were found to be in good agreement; they measured similar values and followed similar trends, that is, when the PM2.5 values measured by the AQMS increased or decreased, so did those of the PA-II. In some high-pollution events, the PA-II measured higher PM2.5 values compared to those measured by the AQMS. We found PA-II PM2.5 measurements to remain unaffected by changes in temperature or Relative Humidity (RH). Overall, the PA-II unit seems to be a promising tool for identifying relative changes in PM2.5 concentration with the potential to complement sparsely distributed monitoring stations and to aid in assessing and minimizing the public exposure to PM, particularly in areas lacking the presence of an AQMS.

Distributed Monitoring

2013 ◽  
pp. 144-167
Author(s):  
Matthew Brundage ◽  
Anastasia Mavridou ◽  
James Johnson ◽  
Peter J. Hawrylak ◽  
Mauricio Papa
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Radio Frequency Identification ◽  
Environmental Conditions ◽  
Distributed Monitoring ◽  
The World ◽  
Scada Systems ◽  
Frequency Identification ◽  
Intelligent Tools ◽  
And Control

SCADA systems monitor and control many critical installations around the world, interpreting information gathered from a multitude of resources to drive physical processes to a desired state. In order for the system to react correctly, the data it collects from sensors must be reliable, accurate, and timely, regardless of distance and environmental conditions. This chapter presents a framework for secure data acquisition in SCADA systems using a distributed monitoring solution. An overview of the framework is followed by a detailed description of a monitoring system designed specifically to improve the security posture and act as a first step towards more intelligent tools and operations. The architecture of the Smart Grid is used to analyze and evaluate benefits that the proposed monitoring system can provide. Finally, the effects and use of Radio Frequency Identification (RFID) and ZigBee as data acquisition platforms are discussed in the context of the proposed solution.

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