WO2018085904A1 - Système de détection de fuites dans le réseau de distribution d'eau - Google Patents

Système de détection de fuites dans le réseau de distribution d'eau Download PDF

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Publication number
WO2018085904A1
WO2018085904A1 PCT/BR2016/050291 BR2016050291W WO2018085904A1 WO 2018085904 A1 WO2018085904 A1 WO 2018085904A1 BR 2016050291 W BR2016050291 W BR 2016050291W WO 2018085904 A1 WO2018085904 A1 WO 2018085904A1
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WO
WIPO (PCT)
Prior art keywords
data
vibration
water supply
network
water
Prior art date
Application number
PCT/BR2016/050291
Other languages
English (en)
Portuguese (pt)
Inventor
Antonio Carlos DE OLIVEIRA JÚNIOR
Original Assignee
De Oliveira Junior Antonio Carlos
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by De Oliveira Junior Antonio Carlos filed Critical De Oliveira Junior Antonio Carlos
Priority to PCT/BR2016/050291 priority Critical patent/WO2018085904A1/fr
Publication of WO2018085904A1 publication Critical patent/WO2018085904A1/fr

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00—Protection or supervision of installations
    • F17D5/02—Preventing, monitoring, or locating loss
    • F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00—Water conservation; Efficient water supply; Efficient water use

Definitions

  • the Water Supply Leakage Detection System is an intelligent system for preventing and detecting leaks in the water distribution network that consists in the distribution of sensors in the field, which pick up acoustic signals from From the vibration of the pipes, such sensors are equipped with wireless communication transceivers such as Wifi, GSM / GPRS, Bluettoth, among others, which send acoustic data and location to a cloud server.
  • Such a computer system is responsible for processing the received data and informing the distributor's operational staff of the leak locations.
  • the present invention aims to develop a water leak leak detection system. From the vibration data of building branches, more accurately collected on easels of water consumption, where the best transcriptors are extracted for characterization of the acoustic vector and subjected to different clustering methodologies and the choice of the most robust a posteriori. Aiming at greater efficiency in the results, when compared to the techniques employed in the State of the Art, incorporating homeomorphic processing techniques, in addition to the expanded exploration of classifiers - clustering, the solution proposed here is based on signal collecting hardware and software. data analysis department responsible for leak detection.
  • the Water Supply Network Leak Detection System object of the present patent, proposed here, has a very low cost per sensor, allows the detection of leaks in HDPE-type pipes and does not depend on the "trained ear" of the operator, as such process is done by Artificial Intelligence software. All of these features allow the system to act in a distributed and large-scale manner. Thus, providing a considerable reduction of water losses in order to improve the efficiency of distribution companies and increase the availability of water for the population and industry. State of the Art
  • the widely used method for discovering non-apparent leaks in the world is that of auscultation with the aid of specific equipment. Because it is a non-apparent leakage, the teams act mainly in a reactive manner, when they act from an indication informed by the concessionaire's own team or even through information provided by consumers.
  • the invention proposed here is of great importance, as it allows water distribution companies to monitor the entire length of the network continuously and thereby act proactively and strategically to repair leaks. .
  • This invention due to the use of Artificial Intelligence to classify leaking or non-leaking samples, becomes increasingly accurate over time as a result of the increased sample database.
  • Patent document WO201 1 127546 INTEGRATED SYSTEM WITH ACOUSTIC TECHNOLOGY, MASS IMBALANCE AND NEURAL NETWORK FOR DETECTING, LOCATING AND QUANTIFYING LEAKS IN DUCTS discloses an integrated system that utilizes mass imbalance, acoustic and artificial neural network technologies. to detect, locate and quantify duct breaks or leaks.
  • the system comprises pressure sensors mounted at strategic points along a duct that act as acoustic or sound sensors; remote units, designated field processing units (FPU); analog and digital filters; artificial neural networks (RNA); and a center of where information provided by the system is combined and processed using algorithms based on neural networks that receive signals from the CFD (Computational Fluid Dynamics) of the mass imbalance system in order to update real-time flow data such as such as fluid density, the wave propagation velocity in the fluid coefficient, the flow velocity and signal attenuation;
  • CFD Computer Fluid Dynamics
  • Patent Document WO201 1 127546 INTEGRATED SYSTEM WITH ACOUSTIC TECHNOLOGY, MASS IMBALANCE AND NEURAL NETWORK FOR DETECTING, LOCATING AND QUANTIFYING LEAKS IN DUCTS, discloses a system that uses additional acoustic parameters for leak detection (pressure, flow, fluid density). The method is intrusive, as opposed to the present invention, and an important methodological differentiation in terms of the present invention is the use of homomorphic processing, a strategy not used herein WO201 127546;
  • Patent document WO2009067770 SYSTEM FOR DETECTING LEAKS IN SINGLE PHASE AND MULTIPHASE FLUID TRANSPORT PIPELINES, in turn, discloses a system developed for the detection of single-phase leaks in multiphase fluid transport ducts characterized by measurements using cells, sensors, local processors and neural models, where measurement sensors and measurement cells are installed at various locations along the duct, with the purpose of monitoring the leakage operating characteristics of ducts with normal transient waveforms.
  • Local processors are responsible for obtaining and sampling the signals provided by the sensors as well as preprocessing to make them compatible with the inputs to the neural model, and these are associated with dynamic memory banks for signal analysis provided by the sensors.
  • Local processors are required to implement and execute neural models and, if a leak is detected, perform location calculations based on the different propagation velocities of the dynamic fluid transient caused by the leak.
  • the system use of a network of communications for data transmission between local processors is for the purpose of comparing alarms from local processors;
  • Patent Document JP2015163903 VIBRATION DETECTION DEVICE FOR PUBLIC WATER SUPPLY PIPE AND VIBRATION DETECTION METHOD FOR PUBLIC WATER SUPPLY PIPE, discloses a vibration detection device for public water pipes that can detect a leak in a water network. unmanned public water supply line with high precision for a long period.
  • the vibration detection device includes a vibration sensor and a terminal device and the vibration sensor is connected to the terminal device and installed in a public water supply duct to collect the vibration data.
  • the terminal device includes time data collection and media range determination, for determining time intervals in terms of vibration level, where vibration data collection and storage is by specific means.
  • Figure 1 Shows a flowchart diagram illustrating the Leakage Detection System in the Water Supply Network according to the present invention, highlighting all its configuration and operation details.
  • Figure 2 Shows a diagram of the Leakage Detection System in the Water Supply Network, highlighting its operation from the sensor signal installed in the water supply network.
  • Figure 3 Shows a schematic of the Leakage Detection system in the Water Supply Network, highlighting the system in a simplified way.
  • the Water Supply Network Leak Detection System (1) has data collection and processing hardware (2).
  • This hardware has a clamp or clamp mechanism (3) for mechanically coupling to the water trestle (8) of the distribution network to the hardware.
  • the vibration detection sensors (5) are integral with the clamp (3) in order to capture the vibrations of the water supply pipe.
  • the hardware also contains an electronic circuit (6), with microcontroller (6a), Digital Analog data converter (6b), at least one room microphone (6c), USB connection (6d) and ability to integrate with wireless communication transceiver. (6e) (Wifi, Bluetooth, or Zigbe).
  • the ambient microphone (6c) serves as a reference for reducing ambient noise interference in vibration analysis.
  • Microprocessor 6a is responsible for capturing vibration and microphone signals and extracting vibration parameters. These latter parameters along with the sensor geo-location data are sent to the cloud server (7).
  • the Water Supply Network Leak Detection System (1) utilizes a cloud server (7) which operates by algorithms for pattern recognition of data received from sensors ( 5), which are classified as “leaky” or “leakless". Also, another feature of the system is to use 'feedback!' users to improve the system.
  • the Leakage Detection System in the Water Supply Network operates with the following operating steps:
  • Each sensor is coupled to the water meter, and where 3.
  • Each sensor sends, via RF, a data packet with its location and the corresponding preprocessing parameters to a cloud server, where
  • the software estimates the probability of leakage in each region, where
  • Operational staff will be able to access reports with data and engage field staff to investigate and, where necessary, repair the network.
  • the Leakage Detection System in the Water Supply Network (1) comprises an array of sensors (5) arranged in a given region, where each sensor is coupled to the respective easel. where each sensor sends, via RF, a data packet with its location and the corresponding parameters for pre-processing the signals to a cloud server (7), where an Artificial Intelligence algorithm together
  • the data triangulation allows the estimation of the probability of leakage in each of these regions, so that an operational team can access the reports with the data and call the field teams to investigate and, when necessary, repair of said branch network. of water.
  • the Leakage Detection System in the Water Supply Network has a new configuration and operation which gives it great advantages over the systems currently used. These advantages include: the fact that it is a system with artificial intelligence that does not depend on trained people, the fact that it is more reliable, the fact that it is a lower cost system because it does not need human personnel to detect the leak; and the fact that it is a low cost deployment system. [026] Thus, due to the configuration and operation characteristics described above, it can be clearly noted that the Water Supply Network Leak Detection System is a new state of the art device which is conditions of innovation, inventive activity and unprecedented industrialization, which make it deserve the Privilege of Invention Patent.

Abstract

L'invention concerne un nouveau système de détection de fuites dans le réseau de distribution d'eau, consistant en un système de détection automatique de fuites d'eau utilisant l'intelligence artificielle, permettant le contrôle des pertes d'eau dans le réseau de distribution grâce à la répartition de capteurs sur le terrain, lesquels captent des signaux acoustiques provenant de la vibration des tubulures et envoient les données acoustiques et la localisation à un serveur en nuage, les données reçues étant traitées de manière à informer l'équipe opérationnelle de la compagnie de distribution de la probabilité de fuites et de leurs localisations.
PCT/BR2016/050291 2016-11-09 2016-11-09 Système de détection de fuites dans le réseau de distribution d'eau WO2018085904A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/BR2016/050291 WO2018085904A1 (fr) 2016-11-09 2016-11-09 Système de détection de fuites dans le réseau de distribution d'eau

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/BR2016/050291 WO2018085904A1 (fr) 2016-11-09 2016-11-09 Système de détection de fuites dans le réseau de distribution d'eau

Publications (1)

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WO2018085904A1 true WO2018085904A1 (fr) 2018-05-17

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109469835A (zh) * 2018-12-25 2019-03-15 嵊州市越通非开挖建设有限公司 一种非开挖施工圆弧管道用泄漏检测装置
EP3882828A1 (fr) * 2020-03-20 2021-09-22 Grohe AG Procédé de surveillance d'un réseau d'alimentation en eau, réseau d'alimentation en eau et système de détection des défauts

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080300803A1 (en) * 2007-05-29 2008-12-04 Drake David A Leak detection system and method
US7920983B1 (en) * 2010-03-04 2011-04-05 TaKaDu Ltd. System and method for monitoring resources in a water utility network
US20130231876A1 (en) * 2010-11-05 2013-09-05 Holger Hanss Leakage Detection and Leakage Location In Supply Networks

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080300803A1 (en) * 2007-05-29 2008-12-04 Drake David A Leak detection system and method
US7920983B1 (en) * 2010-03-04 2011-04-05 TaKaDu Ltd. System and method for monitoring resources in a water utility network
US20130231876A1 (en) * 2010-11-05 2013-09-05 Holger Hanss Leakage Detection and Leakage Location In Supply Networks

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
TANG, Z . ET AL.: "A two-layer energy efficient framework using SAW sensor network for leakage detection in monitoring water distribution system", PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE ON AUTOMATION & COMPUTING, vol. I, 2014, Bedfordshire, UK, pages 158 - 163, XP032669309 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109469835A (zh) * 2018-12-25 2019-03-15 嵊州市越通非开挖建设有限公司 一种非开挖施工圆弧管道用泄漏检测装置
EP3882828A1 (fr) * 2020-03-20 2021-09-22 Grohe AG Procédé de surveillance d'un réseau d'alimentation en eau, réseau d'alimentation en eau et système de détection des défauts

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