Reseacher Piping Network

7/28/2019 Reseacher Piping Network

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PIPING NETWORKBY MEHUL CHAUDHARI

P12IP019


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AN INVERSE APPROACH FOR PIPING

NETWORKS MONITORINGANTONIO C. CAPUTO, PACIFICO M. PELAGAGGE

UNIVERSITY OF LAQUILA, FACULTY OF ENGINEERING,

MONTELUCO, 67040 LAQUILA, ITALY


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AN INVERSE APPROACH FOR PIPING

NETWORKS MONITORING

Abstract :

Spills and leakages of hazardous fluids from piping networks may

pose a significant safety risk to population, industrial plants and

the environment. Therefore in fluid distribution the problem ofmonitoring the network status in order to identify abnormal

conditions and locate leakages arises.

In the paper an inverse approach resorting to a multi-layer

perceptron back-propagation Artificial Neural Network (ANN) is

proposed, in order to locate leakages based on pressure and flow

rate information.


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Strategies for generating input data and for correlating by ANN

such data to the fluid distribution system status are presented.

A two-level architecture is selected, composed by a main ANN

The branch in which the leakage occurs is identified, resorting to

the ANN operating at the first level, while the specific second-

level ANN is activated to estimate accurately the magnitude and

location of the leakage in the selected branch.


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The proposed methodology:

The methodology is based on two main

phases Evaluation of pressure/flow rate conditions

(effects) by simulation imposing the piping

networks boundary conditions (causes);

Correlation of effects with causes by Neural

Net-works.


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Fig: Inverse approach for piping fault detection and identification.


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Fig: Main steps of the proposed methodology


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Fig : Leak identification through ANN


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CONCLUSIONS

In this paper the feasibility of utilizing Artificial Neural Networks

in locating leaks over a fluid distribution network, as a means of

enhancing system safety.

A suitable overall two-level ANN architecture is also presented

where a first-level ANN determines the branch where the leak

occurs and a specific second-level ANN estimates leak amount

and location.

The proposed architecture has been satisfactorily tested in a

simplified case, obtaining promising results.


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LEAKAGE MONITORING AND LOCATINGMETHOD OF WATER SUPPLYPIPE NETWORK

XIAO-LI CAO1, CHAO-YUAN JIANG 1, SI-YUAN GAN 21College of Computer and Information Engineering , Chongqing Technology

and Business University , Chongqing 400067,China2College of Automation , Chongqing University


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ABSTRACT:

To solve the monitoring and locating problems of the underground booster and

leakage of the supply water network, a remote leakage monitoring and locating

system based on GSM/GPRS is designed. The parameters of water supply pipe

network, i.e., flow, flow velocity, flow direction and pressure are collected by

monitor terminal.

The data transmission is realized by GSM/GPRS network and the status of tap

water pipe network is monitored by the GIS based Web software.

Based on the feature of the underground booster and leakage of the water pipe,

negative P wave and flow detecting methods is used based on the pattern

recognition. Practice shows the system can detect leakage of the water pipe

timely and found the leakage location accurately. At present, it has been used in

practical tap water pipe network with excellent results, and it is valuable for

generalization and application.


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Negative P wave method:

P wave is a kind of wave propagated in pipe. Leakagecauses a differential pressure of piping inner and outer,at same time, the flow descendent, and pressure

dropping, as a result, negative P rises. Due to the pressure difference, both sides of flow of

leakage location will stream to leakage location, theprocess convey to the upper reaches to downstream in

turn, so we can consider it as negative P wave whichpropagates by a certain speed.


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Fig.1 and Fig.2 separately show the

negative P wave of the pipe entrance and

outlet when the leakage of water supply pipe

network arises.

When the tube leaks, the pressure of pipe

entrance will be descended rapidly to steady-

state of low pressure in a short time,accordingly, the pressure of the outlet is

dropped with the leakage of the water.


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By measuring the propagation time and the speed of Negative P

wave from one node to another, the leakage location will bedetermined. Fig.3 shows the principle of location.

The typical location formula can be expressed as :

X v*(t1t2) +[L-v*(t1t2)]/2

Here,

L is the length of pipe,

x is the distance from the leakage point to monitoring terminal,

v is the speed

t1, t2 is the time.


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The application of this formula requires a constant wave. Because thedensity, specific heat, pressure of tap water is constant, more over,

pipe and water temperature is invariant, Wave speed can be

accounted constant. Obviously, wave speed varies with the

temperature change from north to south.

In practical engineering, we often first menstruate or amend the wave

speed by the specification of the pipes and the mode of the ductwork;

and the, process the data through the software analysis, so we can

determine where the leakage happens.


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FIG. Monitor Terminal


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The terminal can detect cumulative

discharge, instantaneous speed, direction of

water current and reversal discharge . The detecting range of discharge is 0-

9999999m3precision is 0.001m3; The

detecting range of pressure is 0-6MPa,precision is 0.001 Mpa.


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CONCLUSION Leakage monitoring and locating system of tap water pipe network

based on GSM/GPRS network can accomplish the leakage

monitoring and location of city area, networking and it can realize

low cost,high reliability which meets the need of state of the

nation. At present, the system has successfully detected pipeleakage and back flow on trial. Which conduces to enhance utility

of water supply enterprise.


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THANK YOU

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Reseacher Piping Network