LEAK DETECTION AND FLOW MONITORING SYSTEM

Abstract

The invention relates to a leak detection and flow monitoring system used in water distribution and pipeline infrastructure, providing real-time and precise leak detection, particularly in water networks, drinking water lines, industrial water transfer systems, and similar water distribution infrastructures.

Description

1 TARIFF LEAK DETECTION AND FLOW MONITORING SYSTEM TECHNICAL AREA 5 The invention is used in the field of leak detection and flow monitoring in water distribution and pipeline infrastructure. especially in water networks, drinking water lines, industrial water transfer systems and Providing real-time and precise leak detection in similar water distribution infrastructures. It relates to leak detection and flow monitoring systems. 10 PREVIOUS TECHNIQUE Current methods for detecting water leaks generally involve traditional methods. mechanical water meters, manual listening methods, acoustic microphones or pressure 15 Methods based on monitoring fluctuations are used. However, various aspects of these methods... There are technical deficiencies that make it difficult to detect water leaks. Traditional mechanical meters or acoustic-based methods have low leak detection rates. They exhibit high sensitivity. These systems are particularly effective at detecting small-scale leaks. This is insufficient and causes leaks to continue undetected for a long time. 20 This traditional method is particularly useful for leaks occurring in buried pipelines or underground. These methods are unable to make an effective detection. This leads to a loss of time in leak detection. This is happening and in the long run, it is leading to increased water losses. Manual inspection The methods involved require field teams to work intensively in the field. This situation leads to a lot of human intervention and consequently high labor costs. 25 Furthermore, manual listening and inspection methods are time-consuming and difficult in cities. This causes delays in updating and maintaining the infrastructure. The vast majority of current systems rely on real-time data analysis and statistics. It does not support advanced algorithms such as modeling. Most of the data is raw and 30 Because it is unfiltered, noise is difficult to remove, and the false alarm rate is high. For example, data processing techniques such as the Kalman filter are common in current systems. Because it is not present, the likelihood of systems making false positives increases. or negative alarms cause unnecessary checks to be carried out in the field and This leads to operational inefficiencies. The technical consequences of this situation are very serious. 35 This can happen. Late or incorrect detection of leaks can lead to increased water loss and damage to the infrastructure. This leads to damage and high repair costs. In addition... 2 Over time, water leaks erode the soil structure around the pipes, leading to collapses and damage to the infrastructure. This can lead to damage. Furthermore, the inability to control leaks can cause water damage. this hinders the efficient use of resources and the water management planning of cities. It has a negative impact. As a result of research conducted in the literature, the application number “2022 / 013189” and “AKUSTİK” Turkish patent application titled "LEAK DETECTION DEVICE USING VIBRATION METHOD" This has been encountered. The application in question concerns bathrooms located in buildings such as residences, hospitals, hotels, and schools. Plumbing systems found in kitchens or bathrooms also have leak detection systems that give liquid leak warnings and have leak detection lines. It relates to a leak detection device. However, the application in question concerns water distribution and pipe 10. Used in leak detection and flow monitoring in pipeline infrastructure, especially in water networks, in drinking water lines, industrial water transfer systems and similar water distribution infrastructures Leak detection and flow monitoring system providing real-time and precise leak detection. No evidence related to this has been found. Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The present invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant field. It is related to leak detection and flow monitoring systems, aiming to provide advantages. The main purpose of the invention is to create water networks, drinking water lines, and industrial water transmission systems. Real-time leak detection in water distribution systems and similar infrastructures. to provide. 25 All the purposes mentioned above and those that will emerge from the detailed explanation below. The present invention aims to achieve leak detection in water distribution and pipeline infrastructure, and Used in flow monitoring, particularly in water networks, drinking water lines, and industrial applications. Real-time leak detection in water transmission systems and similar water distribution infrastructures. 30 It is a leak detection and flow monitoring system that enables leak detection and its feature is that it ultrasonically measures the fluid velocity. Ultrasonic water, which measures using the time-flight method and provides more accurate data than mechanical meters. The meter detects ultrasonic signals through the flow pipe / line via sensors located on it. sender and receiver, measures the time it takes for fluid to pass through a pipe / line, upstream and downstream. The sensor unit, which determines the flow rate and direction with its signals, uses the input data to determine the actual 35 It provides timely forecasting and filtration, detecting abnormal changes / leak signals in the flow. 3 by reducing the noise of the measurement data it receives from the sensor unit, it ensures normal flow. The filter unit, which generates the model, communicates with the sensor unit and receives data from the sensor unit. statistical parameters that make it easier to distinguish between normal and abnormal / leakage situations A statistical analysis module that performs analysis and determines whether there is a leak, capable of triggering automatic control mechanisms, communicating with the leak detection module, leak 5 It has an interface that allows it to issue a warning if it is detected. The indicator / notification unit that provides alarms or reports, and statistical analysis, via the aforementioned interface. It communicates with the module and sensor unit via the software running inside it. ultrasonic time-flight data from sensors to digitize and synchronize. It includes the aforementioned leak detection module, which analyzes pulse width data. 10 The best way to utilize the advantages of the existing invention, together with its structure and additional elements. For it to be understood, it must be considered together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES 15 Figure 1 is a representative illustration of the leak detection and flow monitoring system that is the subject of this invention. Figure 2 shows a representative flow diagram of the leak detection and flow monitoring system that is the subject of this invention. It is a representation. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent... Elements that are identical or at least have substantially identical functions are numbered the same. It is shown. REFERENCE NUMBERS 1. Ultrasonic water meter 2. Sensor unit 3. Leak detection module 30 4. Filter unit 5. Statistical analysis module 6. Indicator / notification unit 7. Consumption account unit 35 KF. Kalman filter H. No 4 E. Yes 1001. Upflow / downflow measurement of fluid using ultrasonic flight of time. to be done 1002. Calculating the fluid flow rate using the measured value without filtering. 5 1003. Calculating the fluid flow rate by performing Kalman filtration with the measured value. 1004. Calculation of the measurement value and Kalman filtering estimation error. 1005. If the calculated error value is greater than the specified threshold value, the final error occurs. Calculating the Lyapunov exponent and entropy for the measured value. 1006. Generating a leak / seepage alarm if the metrics are positive, 10 1007. Metrics are not positive or the calculated error value is greater than the threshold value. accumulation of consumption in the absence of DETAILED DESCRIPTION OF THE INVENTION In this detailed explanation, the leak detection and flow monitoring system that is the subject of the invention is only with examples that will not have any limiting effect on a better understanding of the subject It is explained. Leak detection and flow monitoring system, ultrasonic water meter (1), sensor unit (2), leak detection 20 module (3), filter unit (4), statistical analysis module (5), display / notification unit (6), consumption It includes a unit of account (7). The ultrasonic water meter (1) measures the speed of the fluid in ultrasonic time. Measures time of flight (ToF) using a method that is more efficient than traditional mechanical counters. It is a meter that provides precise data. The sensor unit (2) uses the sensors on it. 25 It is a unit that determines the flow velocity and direction using upstream and downstream signals. Leak detection. The module (3) communicates with the statistical analysis module (5) and the sensor unit (2) to digitize. and ultrasonic time-flight and pulse width from sensors to synchronize It is the module that analyzes the data. The filter unit (4) uses the input data to analyze real-time data. 30 Provides prediction and filtration, detecting abnormal changes / leak signals in the flow. by reducing the noise of the measurement data it receives from the sensor unit (2) normal flow It is the filtering unit that produces the model, and preferably a Kalman filter (KF) is used. Statistical analysis module (5) makes it easy to distinguish between normal or abnormal / leakage status of data, It analyzes using statistical parameters and determines whether there is a leak. It is a module. The indicator / notification unit (6) can trigger automatic control mechanisms, leak 35 Communicating with the detection module (3), it sends an alert in case of leakage detection. It has an interface that enables the provision of information, and provides alarms or reports from that interface. It is a module. The consumption calculation unit (7) calculates the consumption according to the information from the leak detection module (3). It is the unit that calculates. Leak detection and flow monitoring system displays ultrasonic water meter (1) data in real time. A functioning advanced statistical analysis and preferably Kalman filter (KF) based leak detection 5 It offers a system. Thanks to this system, ultrasonic time of flight (Time of Flight) Upstream and downstream are measurements of time. Using data and pulse width and signal quality measurements such as PW1stup and PW1stdown The flow characteristics are being monitored precisely. Noise reduction provided by the Kalman Filter (KF) used in leak detection and flow monitoring systems. By reducing noise in the measurement data, statistical data under normal conditions is obtained. A model is being created. In this way, abnormal deviations in the flow are clearly detected. Anomaly detection using a Kalman filter (KF) reveals factors such as Lyapunov exponents and entropy. Using advanced statistical features, a significant difference was found between normal flow and leakage conditions. Differences are being detected. Lyapunov exponents are used in dynamic systems. used to analyze the sensitivity to initial conditions and the chaotic behavior of the system. Lyapunov exponents of a system are defined as two approximate initial conditions. It shows how the orbits behave over time. Anomaly detection in our discovery. When Lyapunov superstructures are used, the difference between the system's normal operation and the leakage condition is 20. It becomes possible to identify the differences. If a leak occurs, the dynamics of the system... Since the values ​​will change, differences will be observed in the Lyapunov exponential values. This allows for detection of things like water leaks. Identifying anomalies becomes more sensitive. Thanks to these elements, the system is able to detect existing problems. low sensitivity, high false alarm rate, and delayed detection problems experienced in these techniques It significantly reduces it. 25 In addition, some of the functions of the leak detection and flow monitoring system are as follows:  Upflow / downflow measurement of the fluid, which is the flight of ultrasonic time. to be done (1001),  Calculating the fluid flow rate using the measured value without filtering 30 (1002),  Calculating the fluid flow rate by performing Kalman filtration (KF) with the measured value. to be done (1003),  Calculation of the measurement value and Kalman filtering (KF) estimation error. (1004), 35  If the calculated error value is greater than the defined threshold value Calculation of Lyapunov exponent and entropy for the last measured value (1005), 6  Generating a leak / leakage alarm if the metrics are positive (1006),  Metrics not being positive or the calculated error value being below the threshold value If consumption is not large, then accumulation of consumption (1007).

Claims

7 REQUESTS 1. Used in leak detection and flow monitoring in water distribution and pipeline infrastructure, 5 especially in water networks, drinking water lines, industrial water transfer systems and leak detection systems that provide real-time leak detection in similar water distribution infrastructures. It is a detection and flow monitoring system, and its features include:  mechanical system that measures fluid velocity using ultrasonic time-flight method Ultrasonic water meter (1) which provides accurate data according to meters, 10  Ultrasonic waves are transmitted through the flow pipe / line via sensors located on it. a device that sends and receives signals, measures the time it takes for fluid to pass through a pipe / line, and so on. A sensor unit that determines flow velocity and direction using upstream and downstream signals. (2),  Provides real-time forecasting and filtering using input data, 15 sensor to detect abnormal changes / leak signals in the flow by reducing the noise of the measurement data it receives from the unit (2) normal flow Filter unit that produces the model (4),  Communicating with the sensor unit (2), receiving normal data from the sensor unit (2) or statistical 20 that makes it easier to distinguish abnormal / leakage situations. It analyzes using parameters and determines whether there is a leak. statistical analysis module (5),  leak detection module (3) which can trigger automatic control mechanisms communicating, and issuing a warning if a fugitive is detected. having an interface that provides alarms or reports from the aforementioned interface 25 display / notification unit (6),  Communicating with the statistical analysis module (5) and sensor unit (2), inside to digitize and synchronize via the software being run analyzes ultrasonic time-flight and pulse width data from sensors the mentioned leak detection module (3) 30 It includes.

2. Leak detection and flow monitoring system in accordance with Claim 1, its feature is the aforementioned filter. (4) is the unit that performs filtering with a Kalman filter (KF). 35 3. Leak detection and flow monitoring system in accordance with Claim 1, its feature is; the aforementioned sensor. The sensors in unit (3) are flow sensors. 8 4. Leak detection and flow monitoring system in accordance with Claim 1, whose feature is statistical analysis. (5) A module used statistical properties such as Lyapunov exponents and entropy It is a module.

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