Development of a Hydropower Hydro Monitoring System

2010 ◽  
Vol 439-440 ◽  
pp. 263-268
Author(s):  
Qing Zhang Chen ◽  
Shuo Jin Fang ◽  
Wu Mei Zhang
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Construction Projects ◽  
Assembly Language ◽  
Hydropower Station ◽  
Software System ◽  
The Core ◽  
Development Tool ◽  
Mechanical Component

Hydropower station is one of key energy construction projects in china. The hydro-mechanical component is one of the core parts of the hydropower station. Therefore, the importance of hydro-condition monitoring becomes even more conspicuous in hydropower station. In this present study, the hardware of hydropower station hydraulic monitoring system was re-designed and integrated through researching hydro-determination theory and method of the hydropower station, using ADAM modules; At the same time, by using development tool C++ and assembly language, a 16-channel data acquisition and visualization operations hydro-monitoring system was completed by implementing the functions of acquisition, calibration, analysis, processing for the software system. Finally, the entire monitoring system was applied on Tianqiao hydropower, and the result indicated that this system might be a better method in monitoring results.

Experimental Research of Grain Mass Flow Condition Monitoring System

2011 ◽  
Vol 105-107 ◽  
pp. 2235-2238
Author(s):  
Zuo Chao Lv ◽  
Bai Jing Qiu ◽  
Yi Jun Fang
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Mass Flow ◽  
Flow Condition ◽  
Field Experiments ◽  
Flow Sensor ◽  
Test Rig ◽  
Condition Monitoring System ◽  
Mass Flow Sensor

Data acquisition in fields, especially yield data acquisition, is an important step in precision agriculture.To obtain the yield information, a grain mass flow condition monitoring system is developed. which consists of impulse-type grain mass flow sensor, grain mass flow condition monitor, CPR transmitter and power supply component. The grain mass flow condition monitor collects data from grain mass flow sensor;displays and stores them after processing. On the basis of test rig experiments with wheat, wheat field experiments are finished in June 2010 .The experimental results show that the accuracy of this monitor syterm is within 3% in test rig experiments and within 5% in field experiments while the grain flow rate is 0~ 2 .5kg / s, which met the precision agriculture production accuracy.

scholarly journals Design and Realization of Rotating Machinery Conditions Monitoring System Based on LabVIEW

2018 ◽  
Vol 2 (2) ◽  
pp. 49
Author(s):  
Qiyuan Fan
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Virtual Instrument ◽  
Hot Spot ◽  
Nonlinear Dynamic Analysis ◽  
Rotating Machinery ◽  
Machinery Condition Monitoring ◽  
Condition Monitoring System ◽  
Machinery System

Abstract: Nonlinear dynamic analysis of rotating machinery system has always been the hot spot of the rotational dynamics research. This article sets up a rotating machinery condition monitoring system to realize the measurement of system dynamic characteristic parameters based on NI(National Instruments) virtual instruments technology. The measurement of vibration signal of rotating machinery system is achieved by using NI company general data acquisition module of NI Company. Meanwhile, by analyzing and processing the acquired data using LabVIEW 2012, the dynamic characteristics, such as .the speed of the rotating machinery system, the axis trajectory, spectrum parameters, are attained. The measurement results show that the rotating machinery condition monitoring system based on LabVIEW is easy to operate, easy to realize the function extension and maintenance, and that it can be used in the industrial engineering projects with rotation characteristics. LabVIEW as the development tools used by virtual instrument function is very powerful data acquisition software products support is one of the features of it, so using LabVIEW programming and data acquisition is simple and convenient.

A Multi-parameter Joint Warning Mechanism for Physical Condition Monitoring System in Physical Education

2020 ◽  
Vol 14 (1) ◽  
pp. 113-119
Author(s):  
Zhang Su
Keyword(s):  
Physical Education ◽  
False Alarm ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Early Warning ◽  
Physical Condition ◽  
School Students ◽  
Early Warning Mechanism ◽  
Number Of Segments

Background: In recent years, sudden deaths of primary and secondary school students caused by sports activities have drawn great attention in education and medical circles. It is necessary for schools to monitor the physical condition of the students in order to reasonably set the duration of their physical activity. At present, the physical condition monitoring instruments used in various hospitals are expensive, bulky, and difficult to operate, and the detection process is complicated. Therefore, existing approaches cannot meet the needs of physical education teachers on campus for detecting the physical condition of students. Methods: This study designs a portable human-physiological-state monitoring and analysis system. Real-time communication between a wearable measurement device and a monitoring device can be ensured by real-time detection of the environment and power control of the transmitted signal. Results: From a theoretical point of view, the larger the number of segments M, the more significantly the reduction of false alarm probability. The simulation results also show this fact. Compared with the conventional early warning mechanism, the probability of a false alarm for the proposed system is lower, and the greater the number of segments, the faster its reaction speed. Conclusion: The portable monitoring system of student physical condition for use in physical education of primary and middle school students proposed in this paper ensures real-time monitoring of the members within the system in an open environment, and further proposes an early warning mechanism for combining multiple vital sign parameters. In addition, the proposed system functions faster; the average early warning time required is only one-quarter of that of the conventional system.

Online Real-Time Monitoring System Through Using Adaptive Angular-Velocity VKF Order Tracking

2012 ◽  
Author(s):  
Ting-Chi Yeh ◽  
Min-Chun Pan
Keyword(s):  
Angular Velocity ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Theoretical Derivation ◽  
Periodic Loading ◽  
Order Tracking ◽  
Computation Scheme ◽  
Condition Monitoring System ◽  
Operation Status

When rotary machines are running, acousto-mechanical signals acquired from the machines are able to reveal their operation status and machine conditions. Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies are integer (or fractional integer) multiples of the reference shaft speed. In this study we built an online real-time machine condition monitoring system based on the adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF_OT) algorithm, which was implemented through a DSP chip module and a user interface coded by the LabVIEW®. This paper briefly introduces the theoretical derivation and numerical implementation of computation scheme. Experimental works justify the effectiveness of applying the developed online real-time condition monitoring system. They are the detection of startup on the fluid-induced instability, whirl, performed by using a journal-bearing rotor test rig.

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