Realization of Monitoring Systems of DC Breaker Based on GPRS Technology

2011 ◽  
Vol 52-54 ◽  
pp. 1003-1008
Author(s):  
Jun Wang ◽  
Tao Ning ◽  
Zhi Hua Li
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Online Monitoring ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Monitoring Systems ◽  
Health State ◽  
Oscillation Circuit ◽  
Online Monitoring System ◽  
Dc Breaker

The inductance and capacitance parameters in oscillation circuit are very important for the HVDC breakers to interrupt the heavy current. In order to know the inductance and capacitance parameters, an online monitoring system of HVDC breaker is designed, and assorted software is also design to process the data got by the data acquisition system. After tested in laboratory, this online monitoring system has proved truly and reliably getting the inductance and capacitance parameters. This system can contribute to analyze the health state of the breaker proceedings breaker.

scholarly journals A Scalable Online Monitoring System Based on Elasticsearch for Distributed Data Acquisition in Cms

2019 ◽  
Vol 214 ◽  
pp. 01048
Author(s):  
Jean-Marc Andre ◽  
Ulf Behrens ◽  
James Branson ◽  
Philipp Brummer ◽  
Olivier Chaze ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Online Monitoring ◽  
Distributed Applications ◽  
Monitoring Data ◽  
Distributed Data ◽  
Post Mortem ◽  
Multiple Sources ◽  
Nosql Database ◽  
Online Monitoring System

The part of the CMS Data Acquisition (DAQ) system responsible for data readout and event building is a complex network of interdependent distributed applications. To ensure successful data taking, these programs have to be constantly monitored in order to facilitate the timeliness of necessary corrections in case of any deviation from specified behaviour. A large number of diverse monitoring data samples are periodically collected from multiple sources across the network. Monitoring data are kept in memory for online operations and optionally stored on disk for post-mortem analysis. We present a generic, reusable solution based on an open source NoSQL database, Elasticsearch, which is fully compatible and non-intrusive with respect to the existing system. The motivation is to benefit from an offthe-shelf software to facilitate the development, maintenance and support efforts. Elasticsearch provides failover and data redundancy capabilities as well as a programming language independent JSON-over-HTTP interface. The possibility of horizontal scaling matches the requirements of a DAQ monitoring system. The data load from all sources is balanced by redistribution over an Elasticsearch cluster that can be hosted on a computer cloud. In order to achieve the necessary robustness and to validate the scalability of the approach the above monitoring solution currently runs in parallel with an existing in-house developed DAQ monitoring system.

Estimation of Gas Turbine Unmeasured Variables for an Online Monitoring System

2020 ◽  
Vol 37 (4) ◽  
pp. 413-428
Author(s):  
Igor Loboda ◽  
Luis Angel Miró Zárate ◽  
Sergiy Yepifanov ◽  
Cristhian Maravilla Herrera ◽  
Juan Luis Pérez Ruiz
Keyword(s):  
Gas Turbine ◽  
Monitoring System ◽  
Online Monitoring ◽  
Real Data ◽  
Data Driven ◽  
Monitoring Systems ◽  
Practical Implementation ◽  
Diagnostic Features ◽  
Thermal Boundary Conditions ◽  
Online Monitoring System

AbstractOne of the main functions of gas turbine monitoring is to estimate important unmeasured variables, for instance, thrust and power. Existing methods are too complex for an online monitoring system. Moreover, they do not extract diagnostic features from the estimated variables, making them unusable for diagnostics. Two of our previous studies began to address the problem of “light” algorithms for online estimation of unmeasured variables. The first study deals with models for unmeasured thermal boundary conditions of a turbine blade. These models allow an enhanced prediction of blade lifetime and are sufficiently simple to be used online. The second study introduces unmeasured variable deviations and proves their applicability. However, the algorithms developed were dependent on a specific engine and a specific variable. The present paper proposes a universal algorithm to estimate and monitor any unmeasured gas turbine variables. This algorithm is based on simple data-driven models and can be used in online monitoring systems. It is evaluated on real data of two different engines affected by compressor fouling. The results prove that the estimates of unmeasured variables are sufficiently accurate, and the deviations of these variables are good diagnostic features. Thus, the algorithm is ready for practical implementation.

Design of Multi Parameter Water Quality Online Monitoring System Base on FPGA

2014 ◽  
Vol 1061-1062 ◽  
pp. 945-949
Author(s):  
Bao Liang Yang ◽  
Jia Yong Ye ◽  
Zheng Fu Cheng
Keyword(s):  
Water Quality ◽  
Data Acquisition ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Online Monitoring ◽  
Data Communication ◽  
Water Quality Monitoring ◽  
Nios Ii ◽  
Online Monitoring System ◽  
Point Data

]:With increasingly serious pollution to surrounding environment,water quality is deteriorating gradually, which on a certain level threats our daily life. In order to detect problems timely, based on FPGA, Multi Parameter Water Quality Online Monitoring System is designed, which, taking Cyclone II FPGA that supports Nios II processor as the core, is responsible for data acquisition, analysis and processing. Data communication adopts General Packet Radio Service (GPRS) to realize the data transmission from acquisition point to the monitoring center. In the analysis of the existing problems of the current water quality monitoring systems, we present the structure and working principle of this system, and then illustrate them from two aspects: hardware and software. Practice shows that the Multi Parameter Water Quality Online Monitoring system with a simple structure is steady, reliable and easy-operated in processing multi-point data acquisition and remote monitoring the whole system, and proves a widely application in the water supply plant of villages and small towns.Key words: FPGA; Water quality; Nios II; remote monitoring

scholarly journals The Online Monitoring API for the DIALOG Library of the COMPASS Experiment

2019 ◽  
Vol 214 ◽  
pp. 01020
Author(s):  
Ondřej Šubrt ◽  
Martin Bodlák ◽  
Vladimir Frolov ◽  
Stefan Huber ◽  
Matouš Jandek ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Online Monitoring ◽  
Data Acquisition System ◽  
Point Of View ◽  
Acquisition System ◽  
Compass Experiment ◽  
Monitoring Tools ◽  
Communication Layer ◽  
The Stability ◽  
Reliability And Robustness

Modern experiments demand a powerful and efficient Data Acquisition System (DAQ). The intelligent, FPGA-based Data Acquisition System (iFDAQ) of the COMPASS experiment at CERN is composed of many processes communicating between each other. The DIALOG library covers a communication mechanism between processes and establishes a communication layer to each of them. It has been introduced to the iFDAQ in the Run 2016 and improved significantly the stability of the system. The paper presents the online monitoring API for the DIALOG library. Communication between processes is challenging from a synchronization, reliability and robustness point of view. Online monitoring tools of the communication between processes are capable to reveal communication problems to be fixed in future. The debugging purpose has been crucial during introduction period to the iFDAQ. On the other hand, based on the measurement of communication between processes, the proper load balancing of processes among machines can improve the stability of the system. The online monitoring API offers a general approach for the implementation of many monitoring tools with different purposes. In the paper, it is discussed its fundamental concept, integration to a new monitoring tool and a few examples of monitoring tools are given.

The Portable Intelligent Monitoring System for Patient Based on Bluetooth Sensor

2011 ◽  
Vol 55-57 ◽  
pp. 1834-1838
Author(s):  
Ping Wang ◽  
Xiu Ying Dong
Keyword(s):  
Wireless Communication ◽  
Data Acquisition ◽  
Monitoring System ◽  
Physical State ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Physical Parameters ◽  
Human Being ◽  
Intelligent Monitoring ◽  
State Data

The paper introduces the design of the portable intelligent monitoring system based on Bluetooth sensors, the system is made up of three main subsystems: physical state data acquisition system based on Bluetooth sensor, wireless communication terminal, and hospital monitoring center. The physical state data acquisition system monitors the main physical parameters of human being real-time and sends to wireless communication terminal by Bluetooth, wireless communication terminal receives the physical parameters and recognizes the physical state of human being with intelligent data fusion algorithm. The abnormal data will trigger the communication terminal send an alarm message to hospital monitoring center, and the abnormal data will be transmitted to hospital, and then the doctor can diagnose the condition of the human being.

scholarly journals An Intelligent Tire Pressure Monitoring System

2020 ◽  
pp. 285-288
Author(s):  
Kirubakaran S ◽  
Kamalanathan C ◽  
Dinesh Ponnuswamy
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Pressure Sensor ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Electronic Unit ◽  
Pressure Monitoring ◽  
Tire Pressure ◽  
Tire Pressure Monitoring System ◽  
Labview Platform

Pressure of tire is measured using Tire Pressure Monitoring System (TPMS) model. By measuring the tire pressure, the fuel can be saved and the vehicle can be controlled in better way. The real of tire pressure can be monitored in real time and if the pressure of the tire goes out of the threshold this system gives alarm and alert the driver to ensure the driver safety, hence the life of the driver can be safeguard and pre-warn the driver and passengers. TPMS consists of an electronic unit that sense the tire pressure displays it to user in a LABVIEW platform. This unit includes a pressure sensor and Data Acquisition System. The output of the pressure sensor is given to the Data Acquisition System. Then the DAQ is interfaced with PC to display the tire pressure in the dashboard using the LABVIEW platform. If the tire pressure crosses safe pressure level a warning is generated

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