Sound array monitoring and positioning device and method for station yard valve chamber pipeline container leakage
By setting up multiple arrays of diverse data monitoring elements in the pipeline, combined with acoustic array sensors and distributed fiber optic sensors, and using deep learning algorithms to identify the location and extent of leaks, the accuracy problem of pipeline leak monitoring in complex environments has been solved, achieving high-precision leak location and risk prediction.
Patent Information
- Application Number
- CN202511327748.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-17
- Publication Date
- 2025-11-18
AI Technical Summary
Existing pipeline leak monitoring devices have low accuracy in complex environments and are easily affected by external interference, leading to misjudgments.
Multiple sets of diverse data monitoring elements are arranged in an array, combined with acoustic array sensors and distributed fiber optic sensors. The platform-level data analysis module uses deep learning algorithms to identify the location and extent of leaks, generate a sound source distribution map, and predict leak risks by combining historical data.
It improves the accuracy of pipeline leak monitoring and the monitoring accuracy in complex environments, enabling precise identification of leak location and extent in complex environments, optimizing monitoring schemes, and enhancing safety.
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Figure CN120969756A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of pipeline monitoring technology, and in particular to a device and method for monitoring and locating leaks in pipeline containers in station valve chambers. Background Technology
[0002] Pipeline leak monitoring is a core technology for ensuring the safety of energy transmission, chemical production, and urban infrastructure, and is especially crucial in long-distance pipeline systems such as oil, natural gas, and water supply.
[0003] Most current pipeline leak monitoring devices use sequentially arranged acoustic array sensors to detect leaks. However, the monitoring data is relatively simple and is often subject to various external interferences that lead to false leak detections. The accuracy of monitoring is particularly low in complex environments. Summary of the Invention
[0004] This invention provides a device and method for monitoring and locating leaks in valve chambers, pipelines, and containers at railway stations. It can monitor and combine multiple sets of diverse data, and then calculate and process the monitoring data to accurately locate the leak. Multiple monitoring elements are arranged in an array to focus on the characteristic frequency band of the leak, improving the accuracy of monitoring. Moreover, it can enhance signals in specific directions through phase weighting to generate a sound source distribution map. It uses deep learning algorithms in the platform layer data analysis module to identify the degree and location of the leak, and combines historical data to predict the risk of leakage, thereby improving the monitoring accuracy in complex environments.
[0005] To solve the above-mentioned technical problems, the present invention provides a station valve chamber pipeline container leakage acoustic array monitoring and positioning device, comprising: The pipeline has a detection station on its outer side. The detection station is equipped with a detection rod. The surface of the detection rod is uniformly provided with a signal processing module and a detection module. The detection module includes an acoustic array sensor and a temperature sensor. Multiple detection modules on the outer side of the detection station are arranged in an array. The signal processing module is used to preprocess the electrical signal. The monitoring component includes a connector, a positioning seat, and a mounting seat. The monitoring component is disposed inside the pipe. A transmission cavity is provided through the inside of the positioning seat. A pressure sensor is arranged around the inner wall of the transmission cavity. A positioning hand is fixed between the positioning seat and the connector. A slot is provided through the inside of the positioning hand. An acoustic array sensor is arranged inside the slot. A distributed optical fiber sensor is fixed on the surface of the mounting seat. The connecting sleeve includes a positioning ring and a connecting plate. The positioning ring is fixedly disposed inside the pipe, and the surface of the connecting plate is provided with a protruding protrusion.
[0006] As a preferred embodiment of the above technical solution, the pipeline is uniformly configured into multiple groups of pipelines, each group of pipelines is equipped with a monitoring component inside, a locking ring is provided around the outer wall of each group of pipelines, and a warning light is provided on the outer wall of each group of pipelines.
[0007] As a preferred embodiment of the above technical solution, the detection stations are configured as multiple stations arranged evenly. The multiple detection stations and the monitoring components constitute a signal acquisition layer. The signal acquisition layer is used to acquire leakage signals in real time and convert them into electrical signals. The signal processing module is used to retain leakage characteristics while removing broadband noise and focusing on high-frequency leakage sound signals to improve the signal-to-noise ratio for subsequent detection and location.
[0008] As a preferred embodiment of the above technical solution, the signal acquisition layer output is equipped with a network transmission layer. The network transmission layer is used to receive electrical signals for filtering, noise reduction, and feature extraction to reduce data volume. It also uses preset rules to identify suspected leaks and issue warnings. The network transmission layer output is connected to a platform layer via a communication module. The platform layer includes a data storage center, a data analysis module, and a device management module. The platform layer is connected to an application layer via a transmission cable. The application layer includes a monitoring and early warning module, a decision support module, and a remote monitoring module.
[0009] As a preferred embodiment of the above technical solution, the connector has a through groove, the transmission cavity is located inside the through groove, and the deep protrusion is threadedly connected to the through groove.
[0010] As a preferred embodiment of the above technical solution, the number of positioning seats is set to two sides and symmetrically arranged, with a connector on the outer side of each of the two positioning seats, the two transmission cavities are fitted together, and the pressure sensors inside the transmission cavities are arranged in a circular pattern on the inner wall of the transmission cavities.
[0011] As a preferred embodiment of the above technical solution, the positioning seat is provided with mounting grooves at both the top and bottom, and a locking screw is provided through the interior of the mounting seat, the locking screw matching the mounting groove.
[0012] As a preferred embodiment of the above technical solution, the connecting sleeve is hollow, a connecting plate is fixedly provided on the surface of the positioning ring, and positioning bolts are uniformly inserted through the inside of the connector and connected to the connecting plate.
[0013] As a preferred embodiment of the above technical solution, the number of monitoring components is set to multiple and the distance between two adjacent monitoring components is set to 3-5 km.
[0014] A method for monitoring and locating leakage in pipeline containers of a station includes the following steps: Step 1: Sequentially position and install multiple monitoring components inside the pipeline, and position and install detection stations and warning lights on the outside of the corresponding monitoring components; Step 2: The pressure sensor inside the transmission cavity monitors the pressure intensity of the medium flowing inside the pipe in real time. The acoustic array sensor performs ultrasonic monitoring of the medium flowing into the transmission cavity from the connecting channel. The distributed fiber optic sensor can monitor the vibration position generated during the transmission of the medium. The acoustic array sensor and temperature sensor inside the detection station monitor the ultrasonic and temperature environment outside the pipe and can feed back the monitoring data to the network transmission layer in real time. Step 3: By integrating different data feedbacks from the same location, it can be determined whether a leak has occurred in the pipeline within the corresponding range. When a leak occurs, the data transmission module sends an alarm signal to the platform layer, and the warning light flashes to warn of the leak.
[0015] This invention provides a device and method for monitoring and locating leaks in pipeline containers within a station valve chamber. The device comprises a detection station, monitoring components, and a connecting sleeve. After the monitoring components are positioned and installed inside the pipeline via the connecting sleeve, a pressure sensor inside the transmission chamber monitors the pressure intensity of the flowing medium in real time. An acoustic array sensor performs ultrasonic monitoring of the space where the flowing medium enters the transmission chamber from the connecting groove. Monitoring is performed in a relatively small transmission space, reducing environmental noise generated during medium transmission and improving monitoring accuracy. Distributed fiber optic sensors can monitor the vibration location generated during the transmission of the flowing medium. The phase of scattered light caused by external vibrations such as leakage impacts can be detected by the fiber optic sensor, which demodulates the phase change to invert the vibration signal. Acoustic array sensors and temperature sensors on the surface of the detection rod monitor the ultrasonic and temperature ambient conditions outside the pipeline. This system monitors the environment and removes broadband noise based on the frequency characteristics of sound waves, focusing on high-frequency leakage sound signals. It can monitor abnormal sound wave transmission and abnormal temperature changes on the outside of the pipeline during leakage, and can feed the monitoring data back to the network transmission layer in real time. It can monitor and combine multiple sets of diverse data, and then calculate and process the monitoring data to accurately locate the leak. Multiple monitoring elements are arranged in an array to focus on the characteristic frequency band of the leak, improving the accuracy of monitoring. Moreover, it can enhance the signal in a specific direction through phase weighting to generate a sound source distribution map. The platform layer data analysis module uses deep learning algorithms to identify the degree and location of the leak, and combines historical data to predict the risk of leakage, improving the monitoring accuracy in complex environments. It analyzes data to assess safety, formulates maintenance plans, optimizes monitoring schemes, and integrates with industrial production systems to achieve collaborative management.
[0016] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description
[0017] Figure 1This is a schematic diagram of the overall structure of the present invention; Figure 2 This is an exploded view of the overall structure of the present invention; Figure 3 This is a schematic diagram of the monitoring component and connecting sleeve structure of the present invention; Figure 4 This is an exploded view of the monitoring component of the present invention; Figure 5 This is a schematic diagram of the signal transmission principle of the present invention; Figure 6 This is a schematic diagram of the detection process in Embodiment 2 of the present invention.
[0018] In the diagram: 1. Pipe, 11. Locking ring, 12. Warning light, 2. Detection station, 21. Detection rod, 3. Monitoring component, 4. Connector, 41. Connecting slot, 5. Positioning seat, 51. Transmission cavity, 52. Positioning hand, 53. Empty slot, 54. Mounting slot, 6. Mounting seat, 61. Locking screw, 62. Distributed fiber optic sensor, 7. Connecting sleeve, 71. Positioning ring, 72. Connecting disc, 73. Deep protrusion. Detailed Implementation
[0019] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.
[0020] See Figure 1-4 This invention provides a device for monitoring and locating leaks in station valve chamber pipeline containers using an acoustic array, comprising: Pipeline 1 has a detection station 2 on its outer side. The detection station 2 is equipped with a detection rod 21. The surface of the detection rod 21 is uniformly provided with a signal processing module and a detection module. The detection module includes an acoustic array sensor and a temperature sensor. The detection modules on the outer side of multiple detection stations 2 are arranged in an array. The signal processing module is used to preprocess the electrical signal. The monitoring component 3 includes a connector 4, a positioning seat 5, and a mounting seat 6. The monitoring component 3 is disposed inside the pipe 1. A transmission cavity 51 is provided through the inside of the positioning seat 5. A pressure sensor is arranged around the inner wall of the transmission cavity 51. A positioning hand 52 is fixed between the positioning seat 5 and the connector 4. A slot 53 is provided through the inside of the positioning hand 52. An acoustic array sensor is arranged inside the slot 53. A distributed optical fiber sensor 62 is fixed on the surface of the mounting seat 6. The connecting sleeve 7 includes a positioning ring 71 and a connecting plate 72. The positioning ring 71 is fixedly installed inside the pipe 1, and the surface of the connecting plate 72 is provided with a protruding protrusion 73.
[0021] This embodiment provides a station valve chamber pipeline container leakage acoustic array monitoring and positioning device, which includes a detection station 2, a monitoring component 3, and a connecting sleeve 7. After the monitoring component 3 is positioned and installed inside the pipeline 1 through the connecting sleeve 7, the pressure sensor inside the transmission cavity 51 monitors the pressure intensity of the flowing medium inside the pipeline 1 in real time. The acoustic array sensor performs ultrasonic monitoring on the space where the flowing medium enters the transmission cavity 51 from the connecting groove 41. Monitoring is carried out in a small transmission space, reducing the environmental noise generated during the medium transmission process and improving the accuracy of monitoring. The distributed fiber optic sensor 62 can monitor the vibration position generated during the transmission of the flowing medium. It can demodulate the phase of the scattered light caused by external vibrations such as leakage impacts and invert the vibration signal by demodulating the phase change. The acoustic array sensor and temperature sensor on the surface of the detection rod 21 monitor the outer ring of the pipeline 1. The system monitors the ultrasonic and temperature environment of the pipe, removes broadband noise based on the frequency characteristics of the sound waves, and focuses on high-frequency leakage sound signals. It can monitor abnormal sound wave transmission and abnormal temperature changes on the outside of the pipe during leakage, and can feed the monitoring data back to the network transmission layer in real time. It can monitor and combine multiple sets of diverse data, and then calculate and process the monitoring data to accurately locate the leak. Multiple monitoring elements are arranged in an array to focus on the characteristic frequency band of the leak, improving the accuracy of monitoring. Moreover, it can enhance the signal in a specific direction through phase weighting to generate a sound source distribution map. The platform layer data analysis module uses deep learning algorithms to identify the degree and location of the leak, and combines historical data to predict the risk of leakage, improving the monitoring accuracy in complex environments. It analyzes data to assess safety, formulates maintenance plans, optimizes monitoring schemes, and integrates with industrial production systems to achieve collaborative management.
[0022] In a further embodiment of this invention, the pipe 1 is uniformly arranged into multiple sets of pipes, each set of pipes is equipped with a monitoring component 3 inside, each set of pipes is surrounded by a locking ring 11, and each set of pipes is equipped with a warning light 12 on its outer wall.
[0023] In this embodiment, the warning light 12 can flash to warn of a leak in the area.
[0024] In a further embodiment of this invention, a through groove 41 is provided inside the connector 4, and a transmission cavity 51 is disposed inside the through groove 41, extending into the convex disc 73 and threadedly connected to the through groove 41.
[0025] In this embodiment, the deep protrusion 73 can lock the connector 4 inside the pipe 1, and support and position it.
[0026] In a further embodiment of this invention, the number of positioning seats 5 is set to two sides and symmetrically arranged. Each of the two positioning seats 5 has a connector 4 on its outer side. The two transmission cavities 51 are fitted together, and the pressure sensors inside the transmission cavities 51 are arranged in a circular pattern on the inner wall of the transmission cavities 51.
[0027] In this embodiment, the pressure sensor inside the transmission cavity 51 monitors the pressure intensity of the medium flowing inside the pipe 1 in real time, and the acoustic array sensor performs ultrasonic monitoring on the medium flowing into the space of the transmission cavity 51 from the connecting groove 41. Monitoring is carried out in a small transmission space, which reduces the environmental noise generated during the medium transmission process and improves the accuracy of monitoring.
[0028] In a further embodiment of this invention, the top and bottom of the positioning seat 5 are provided with mounting grooves 54, and the mounting seat 6 is provided with a locking screw 61 through the interior, which matches the mounting groove 54.
[0029] After the mounting base 6 in this embodiment is positioned and installed, the distributed optical fiber sensor 62 can monitor the vibration position generated during the transmission of the circulating medium. It can demodulate the phase change of the scattered light caused by external vibrations such as leakage impacts and invert the vibration signal.
[0030] In a further embodiment of this invention, the connecting sleeve 7 is hollow, the surface of the positioning ring 71 is fixedly provided with a connecting plate 72, and the connecting head 4 is provided with positioning bolts evenly running through its interior and connected to the connecting plate 72.
[0031] In this embodiment, the medium inside the pipe 1 is transmitted into the connecting groove 41 through the connecting sleeve 7 and then through the transmission cavity 51. After passing completely through the monitoring component 3, it is then transmitted back into the pipe 1 through the connecting sleeve 7 on the other side.
[0032] In a further embodiment of this example, the number of monitoring components 3 is set to multiple and the distance between two adjacent monitoring components 3 is set to 3-5km.
[0033] In this embodiment, the monitoring component 3, after being positioned and installed as required, can provide full-time and space-wide monitoring of leakage events on pipeline 1.
[0034] Example 2: See Figure 5 and Figure 6 Based on Example 1, this example proposes a method for monitoring and locating leaks in pipeline containers in station valve chambers using an acoustic array, comprising the following steps: Step 1: Install multiple monitoring components 3 sequentially inside the pipeline, and install the detection station 2 and warning light 12 on the outside of the corresponding monitoring components 3; Step 2: The pressure sensor inside the transmission cavity 51 monitors the pressure intensity of the medium flowing inside the pipe 1 in real time. The acoustic array sensor performs ultrasonic monitoring of the medium flowing into the transmission cavity 51 from the connecting groove 41. The distributed optical fiber sensor 62 can monitor the vibration position generated during the transmission of the medium. The acoustic array sensor and temperature sensor on the surface of the detection rod 21 monitor the ultrasonic and temperature environment outside the pipe 1 and can feed back the monitoring data to the network transmission layer in real time. Step 3: By integrating different data feedbacks within the same location, it can be determined whether a leak has occurred in the corresponding pipeline 1. If a leak occurs, the data transmission module sends an alarm signal to the platform layer, and the warning light 12 flashes to warn the user.
[0035] This embodiment provides a method for monitoring and locating leaks in pipeline containers in station valve chambers using an acoustic array. It utilizes the mechanism that when high-pressure gas is ejected from a leak hole, the pressure difference causes rapid gas expansion, forming high-speed turbulence and eddies at the hole opening. This turbulence interacts with the surrounding medium, generating broadband sound waves. The sound pressure near the leak point is strong and attenuates with distance. It also considers the pressure intensity inside the pipeline and the vibration changes during medium transmission when a leak occurs. The method determines whether a leak has occurred by considering the time difference Δt between the leaking sound waves and the arrival time at different sensors. The "distance difference" from the sound source is obtained using Δd = v·Δt (where v is the speed of sound). Multiple sensors form a hyperbola intersection solution, allowing for a rough pointing followed by precise location to confirm the leak position. Furthermore, during monitoring, the sound signal energy can be calculated and compared with a threshold value. Adapting to dynamic thresholds achieves accurate monitoring. When a leak occurs during monitoring, the system scans the space to find the direction of the sound energy peak. The system accurately calculates the time difference of arrival at different sensors, then calculates the coordinates of the leak source. The method for combining the leak source coordinates is: beamforming → coarse pointing, TDOA → fine positioning. It can monitor abnormal sound wave transmission and abnormal temperature changes generated on the outside of pipe 1 during leakage, and can also feed the monitoring data back to the network transmission layer in real time. It can realize the monitoring and combination of multiple sets of diverse data, and then calculate and process the monitoring data to accurately locate the leak. Multiple monitoring elements are arranged in an array to focus on the characteristic frequency band of the leak, improving the accuracy of monitoring. Moreover, it can enhance the signal in a specific direction through phase weighting to generate a sound source distribution map. The platform layer data analysis module uses deep learning algorithms to identify the degree and location of the leak, and combines historical data to predict the risk of leakage, improving the monitoring accuracy in complex environments. It analyzes data to assess safety, formulates maintenance plans, optimizes monitoring schemes, and integrates with industrial production systems to achieve collaborative management.
[0036] In a further embodiment of this invention, multiple detection stations 2 are arranged evenly. The detection rods 21 inside the detection stations 2 can be cylindrical, annular, quadrilateral, or polygonal as needed. They are set and installed according to different detection positions and requirements. Multiple detection stations 2 and monitoring components 3 constitute a signal acquisition layer. The signal acquisition layer is used to acquire leakage signals in real time and convert them into electrical signals. The signal processing module is used to retain leakage characteristics while removing broadband noise and focusing on high-frequency leakage sound signals to improve the signal-to-noise ratio of subsequent detection and positioning.
[0037] In this embodiment, the signal processing module can retain leakage characteristics while removing broadband noise, focusing on high-frequency leakage sound signals to improve the signal-to-noise ratio for subsequent detection and localization. Referring to parameters with obvious high-frequency components (usually 2kHz~60kHz), the high-frequency band helps to distinguish industrial background noise. The spectral peak is related to the leakage aperture, gas type, and pressure. The characteristic of energy attenuation with the square of distance improves the accuracy of monitoring data. During the monitoring process, multiple sensors in the signal acquisition layer are arranged according to rules, such as rectangular arrays or circular arrays. The signals of each sensor are weighted and summed according to the spatial direction. Based on the characteristics of coherent superposition of signals in the target direction for beam enhancement and phase-shifted beam suppression of signals in non-target directions, different angles can be scanned to form a spatial sound energy distribution map.
[0038] In a further embodiment of this example, the signal acquisition layer output is provided with a network transmission layer. The network transmission layer is used to receive electrical signals for filtering, noise reduction, and feature extraction to reduce data volume. It also uses preset rules to identify suspected leaks and issue warnings. The network transmission layer output is connected to a platform layer via a communication module. The platform layer includes a data storage center, a data analysis module, and a device management module. The platform layer is connected to an application layer via a transmission cable. The application layer includes a monitoring and early warning module, a decision support module, and a remote monitoring module.
[0039] In this embodiment, the network transmission layer includes an edge computing node module, which receives electrical signals for filtering, noise reduction, and feature extraction to reduce data volume. It uses preset rules to identify suspected leaks and issue warnings, improving the speed and efficiency of leak detection. The platform layer's data storage center can use distributed databases and cloud storage to securely store raw acoustic data, feature data, and device status data, supporting efficient queries. The data analysis module can perform machine learning and deep learning algorithms to identify leaks (degree, location) and predict leak risks based on historical data. The device management module can uniformly manage sensors, edge nodes, and other devices, performing device configuration, status monitoring, and fault maintenance. The application layer's monitoring and early warning module can intuitively display real-time status (leakage status, location, degree) and trigger audible and visual alarms when a leak occurs. The decision support module can analyze data to assess security, formulate maintenance plans, optimize monitoring schemes, and integrate with industrial production systems for collaborative management. The remote monitoring module can feed data back to mobile phones / tablets for remote data viewing and early warning reception, enabling monitoring anytime, anywhere.
[0040] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.
[0041] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.
[0042] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A device for monitoring and locating leakage of pipelines and containers in station valve chambers, characterized in that, include: Pipeline (1) has a detection station (2) on its outer side. The detection station (2) is equipped with a detection rod (21). The surface of the detection rod (21) is uniformly provided with a signal processing module and a detection module. The detection module includes an acoustic array sensor and a temperature sensor. Multiple detection modules on the outer side of the detection station (2) are arranged in an array. The signal processing module is used to preprocess the electrical signal. The monitoring component (3) includes a connector (4), a positioning seat (5), and a mounting seat (6). The monitoring component (3) is disposed inside the pipe (1). A transmission cavity (51) is provided through the positioning seat (5). A pressure sensor is arranged around the inner wall of the transmission cavity (51). A positioning hand (52) is fixed between the positioning seat (5) and the connector (4). A slot (53) is provided through the positioning hand (52). An acoustic array sensor is disposed inside the slot (53). A distributed optical fiber sensor (62) is fixed on the surface of the mounting seat (6). The connecting sleeve (7) includes a positioning ring (71) and a connecting plate (72). The positioning ring (71) is fixedly disposed inside the pipe (1), and the surface of the connecting plate (72) is provided with a protruding convex plate (73).
2. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The pipeline (1) is uniformly arranged into multiple groups of pipelines. Each group of pipelines is equipped with a monitoring component (3), a locking ring (11) is provided around the outer wall of each group of pipelines, and a warning light (12) is provided on the outer wall of each group of pipelines.
3. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The detection station (2) is set to be multiple and evenly arranged. The multiple detection stations (2) and the monitoring component (3) constitute a signal acquisition layer. The signal acquisition layer is used to acquire leakage signals in real time and convert them into electrical signals. The signal processing module is used to retain leakage characteristics while removing broadband noise and focusing on high-frequency leakage sound signals to improve the signal-to-noise ratio of subsequent detection and positioning.
4. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 3, characterized in that, The signal acquisition layer output is equipped with a network transmission layer. The network transmission layer is used to receive electrical signals for filtering, noise reduction, and feature extraction to reduce data volume. It also uses preset rules to identify suspected leaks and issue warnings. The network transmission layer output is connected to the platform layer through a communication module. The platform layer includes a data storage center, a data analysis module, and a device management module. The platform layer is connected to the application layer through a transmission cable. The application layer includes a monitoring and early warning module, a decision support module, and a remote monitoring module.
5. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The connector (4) has a through groove (41) inside, the transmission cavity (51) is located inside the through groove (41), and the deep protrusion (73) is threadedly connected to the through groove (41).
6. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The number of positioning seats (5) is set to be on both sides and symmetrically arranged. Both positioning seats (5) are provided with connectors (4) on the outside. The two transmission cavities (51) are fitted together. The pressure sensors inside the transmission cavities (51) are arranged in a circular pattern on the inner wall of the transmission cavities (51).
7. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The positioning seat (5) is provided with mounting grooves (54) at the top and bottom. The mounting seat (6) is provided with a locking screw (61) through it. The locking screw (61) matches the mounting groove (54).
8. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The connecting sleeve (7) is hollow, and the surface of the positioning ring (71) is fixedly provided with a connecting plate (72). The connecting head (4) is provided with positioning bolts evenly running through its interior and connected to the connecting plate (72).
9. The acoustic array monitoring and positioning device for leakage of valve chamber pipelines and containers in a station as described in claim 1, characterized in that, The number of monitoring components (3) is set to multiple and the distance between two adjacent monitoring components (3) is set to 3-5km.
10. A method for monitoring and locating leakage in pipelines and containers in a station, characterized in that, Includes the following steps: Step 1: Install multiple monitoring components (3) sequentially inside the pipeline, and install detection stations (2) and warning lights (12) on the outside of the corresponding monitoring components (3). Step 2: The pressure sensor inside the transmission cavity (51) monitors the pressure intensity of the medium flowing inside the pipe (1) in real time. The acoustic array sensor performs ultrasonic monitoring of the medium flowing into the transmission cavity (51) from the connecting groove (41). The distributed optical fiber sensor (62) can monitor the vibration position generated during the transmission of the medium. The acoustic array sensor and temperature sensor on the surface of the detection rod (21) monitor the ultrasonic and temperature environment outside the pipe (1) and can feed the monitoring data back to the network transmission layer in real time. Step 3: Based on the integration of different data feedback within the same location, it can be determined whether the pipeline (1) within the corresponding range has leaked. When a leak occurs, the data transmission module sends an alarm signal to the platform layer, and the warning light (12) flashes to warn.