Power station pipe network leakage positioning detection method and system

Abstract

The invention belongs to the technical field of power station pipe network leakage detection, and relates to a power station pipe network leakage positioning detection method and system. Comprising the following steps: collecting pressure data of a power station pipe network in real time; if the pressure data is greater than the historical abnormal large peak data, performing video shooting on the power station pipe network; spectral analysis is conducted on the pressure data within the preset time, if tiny pressure abnormity exists, the frequency corresponding to the tiny pressure abnormity is obtained, and periodical photo shooting is conducted on the power station pipe network according to the frequency; based on the video or the picture, analyzing a leakage type and positioning a leakage position; according to the invention, accurate detection of the leakage type can be realized, and the response speed of leakage detection is shortened.

Description

Technical Field

[0001] The present invention belongs to the technical field of leakage detection of power station pipe networks, and relates to a method and system for leakage location detection of power station pipe networks. Background Art

[0002] With the continuous expansion of the scale and increasing complexity of the power system, the power station pipe network, as an important infrastructure for power transmission, its safety and stability play a decisive role in the normal operation of the entire power system. However, the leakage problem of power station pipe networks has always been a technical problem that plagues the operation and maintenance of power systems. It not only causes energy waste but may also lead to equipment failures and even safety accidents. Traditional methods for detecting leakage in power station pipe networks mainly rely on single sensor technologies, such as pressure sensors or flow sensors. Although these methods have certain effects in detecting large-scale leakage faults, there are still many limitations in practical applications.

[0003] Firstly, traditional methods are insufficient in leakage location accuracy. A single sensor usually can only provide local information at a certain point in the power station pipe network, making it difficult to achieve comprehensive monitoring of the entire power station pipe network system. For example, although a pressure sensor can detect pressure anomalies, it cannot accurately determine the specific location where the leakage occurs. Especially in a complex power station pipe network structure, the propagation of leakage signals is affected by various factors such as pipe material, pipe diameter change, and branch structure, resulting in a large positioning error. Secondly, traditional methods have limited detection ability for small-scale leakage. The tiny leaks in power station pipe networks are often progressive and concealed, and it is difficult for a single sensor to capture these subtle changes, easily causing missed detections and leading to the accumulation of potential hazards. Moreover, traditional methods lack real-time performance and response speed. Due to relying on a single data source, the system needs to perform complex analysis and verification after detecting an anomaly, making it difficult to respond in a timely manner, which to a certain extent affects the efficiency of fault handling.

[0004] Currently, with the continuous development of sensor technology, methods based on the collaborative work of multiple sensors have gradually been applied. Especially the combination of image sensors and traditional pressure sensors can effectively enhance the accurate positioning of leakage locations. However, the leakage detection accuracy of existing collaborative technologies is not high, and it can still only detect extremely large peak abnormal leaks at a single pressure measurement point, and cannot detect global periodic subtle leakage anomalies in power station pipe networks; and a large amount of image data needs to be collected through image sensors, resulting in poor detection real-time performance due to the large amount of image data, and it is impossible to quickly respond to leakage faults to achieve efficient leakage maintenance of power station pipe networks. Summary of the Invention

[0005] In order to solve the problems in the prior art, the purpose of the present invention is to provide a method and system for leakage location detection of power station pipe networks to achieve accurate detection of leakage types and shorten the response speed of leakage detection.

[0006] To achieve the above object, the present invention is implemented by the following technical solutions: In a first aspect, the present invention provides a method for locating and detecting leakage in a power station pipe network, comprising the following steps: Collect the pressure data of the power station pipe network in real time; If the pressure data is greater than the historical abnormally large peak data, take a video of the power station pipe network; Perform spectrum analysis on the pressure data within a preset time. If there is a slight pressure anomaly, obtain the frequency corresponding to the slight pressure anomaly, and take periodic photos of the power station pipe network according to the frequency; Analyze the leakage type and locate the leakage position based on the video or photo.

[0007] Preferably, the specific method for performing spectrum analysis on the pressure data within a preset time and obtaining the frequency corresponding to the slight pressure anomaly if there is a slight pressure anomaly is as follows: Perform spectrum analysis on the pressure data within a preset time to generate a spectrogram. If there is a frequency band in the spectrogram whose amplitude exceeds the preset threshold, there is a slight pressure anomaly; determine the frequency range of the slight pressure anomaly according to the spectrogram, and obtain the frequency value with the largest amplitude (main frequency value) within the frequency range.

[0008] Preferably, an abnormal alarm is also performed after locating the leakage position.

[0009] In a second aspect, the present invention provides a system for locating and detecting leakage in a power station pipe network. The system includes a pressure sensor, an image sensor, a phase-locked signal controller, and a data processing module; the pressure sensor is electrically connected to the data processing module; the data processing module is electrically connected to the phase-locked signal controller; the phase-locked signal controller is electrically connected to the image sensor; the image sensor is connected to the control center; the image sensor is arranged around the pressure sensor.

[0010] Preferably, it further includes an alarm system, and the alarm system is connected to the control center.

[0011] Preferably, a plurality of the pressure sensors are provided and are distributedly installed at the valves, flange joints, and pipe bends of the power station pipe network.

[0012] Preferably, the distance between adjacent pressure sensors does not exceed 5 meters.

[0013] Preferably, the real-time acquisition frequency of the pressure sensor is not less than 1000 Hz.

[0014] Preferably, the image sensor includes a camera; a lighting component is arranged around the camera.

[0015] Preferably, the shooting speed range of the camera is from 1000 frames per second to 5000 frames per second.

[0016] Compared with the prior art, the present invention has the following beneficial effects: By collecting single-point real-time pressure data of the power station pipe network at a high sampling frequency, the present invention can perform real-time monitoring and sustainable monitoring of the power station pipe network; by comparing the real-time pressure data with the historical abnormally large peak data and performing spectral analysis on the pressure data within a preset time to obtain the corresponding frequencies of subtle pressure anomalies, the type of leakage can be accurately judged, improving the leakage detection accuracy of the power station pipe network; at the same time, only shooting videos of the leakage of the power station pipe network at abnormal moments or taking images of the leakage of the power station pipe network at a certain period greatly reduces a large amount of redundant data generated during the long-term real-time monitoring process based on image sensors in the prior art.

[0017] Furthermore, through the collaborative work of the pressure sensor and the image sensor, the present invention can accurately determine the type of leakage of the power station pipe network and has a very high-precision positioning function, effectively and accurately capturing the moment and location of the leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 is a schematic flow chart of a method for detecting and locating leakage in a power station pipe network according to the present invention; Figure 2 is a schematic structural diagram of a system for detecting and locating leakage in a power station pipe network according to the present invention; Figure 3 is a schematic diagram of the image data acquisition process of the phase-locked cooperation between the pressure sensor and the image sensor in Embodiment 1 of the present invention.

[0020] Wherein: 1. Power station pipe network; 2. Image sensor; 3. Pressure sensor; 4. Phase-locked signal controller; 5. Data processing module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated in the drawings here can be arranged and designed in various different configurations.

[0022] Accordingly, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0023] It should be noted that like reference numerals and letters denote like items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0024] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper", "lower", "horizontal", "inner", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the invention product is usually placed during use, it is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention. In addition, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0025] In addition, if the term "horizontal" appears, it does not mean that the component is required to be absolutely horizontal, but it can be slightly inclined. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but it can be slightly inclined.

[0026] In the description of the embodiments of the present invention, it should also be noted that unless otherwise clearly specified and limited, if terms such as "set", "installed", "connected", "connected to" are understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] The following further describes the present invention in detail with reference to the accompanying drawings: The first object of the present invention is to provide a method for locating and detecting leakage in a power station pipe network, as Figure 1 shown, including the following steps: Real-time collect the pressure data of the power station pipe network 1; If the pressure data is greater than the historical abnormally large peak data, take a video of the power station pipe network 1; Perform spectral analysis on the pressure data within a preset time. If there is a slight pressure anomaly, obtain the frequency corresponding to the slight pressure anomaly, and take periodic photos of the power station pipe network 1 according to the frequency; Analyze the leakage type and locate the leakage position based on the video or photo; Conduct an abnormal alarm.

[0028] The leakage location detection method for the power station pipe network of the present invention can quickly trigger video shooting at the initial stage of pressure anomaly by collecting pressure data in real time and comparing with historical abnormal large peaks, realizing real-time monitoring and rapid response to sudden leakage, and significantly shortening the response time of leakage detection; at the same time, by performing spectral analysis on the pressure data within a preset time, it can capture subtle pressure fluctuations, identify low-frequency and intermittent leaks that are difficult to detect by traditional methods, and take periodic photos according to the frequency corresponding to the slight pressure anomaly, realizing accurate detection of continuous and subtle leaks, forming a dual detection mechanism combining pressure peak detection and spectral analysis, and greatly improving the comprehensiveness and accuracy of detection. In addition, this method optimizes resource utilization by dynamically adjusting the monitoring strategy (video shooting for major anomalies and periodic photo shooting for slight anomalies). Compared with the traditional method of continuously collecting a large amount of image data and then processing it, the method of the present invention reduces the consumption of data storage and computing resources; based on visual analysis of videos or photos and combined with image recognition technology, it can accurately identify the leakage type and precisely locate the leakage position, reducing the false alarm rate, improving the detection reliability, reducing resource waste and equipment damage caused by leakage, and enhancing the safety and economy of power station operation. Through abnormal alarm, the operation and maintenance personnel can be notified in time after the leakage is located, providing accurate fault point guidance for the operation and maintenance personnel, reducing the time and economic costs of blind troubleshooting; through accurate analysis of the leakage type, it can determine a suitable maintenance plan and tools for the maintenance personnel in advance, avoiding secondary damage or low efficiency caused by improper maintenance means, thus significantly improving the maintenance efficiency, shortening the recovery time of the power station pipe network 1, and reducing the risk of resource waste and equipment damage.

[0029] Among them, the specific method for performing spectral analysis on the pressure data within a preset time and obtaining the frequency corresponding to the slight pressure anomaly if there is a slight pressure anomaly is as follows: Perform spectral analysis on the pressure data within a preset time to generate a spectrogram. If there is a frequency band in the spectrogram where the amplitude exceeds the preset threshold, there is a slight pressure anomaly; determine the frequency range of the slight pressure anomaly according to the spectrogram, and obtain the frequency value with the largest amplitude (main frequency value) within the frequency range.

[0030] Through spectrum analysis technology, the present invention can convert a time-domain pressure signal into a frequency-domain signal, thereby identifying low-frequency and weak pressure fluctuations that are difficult to detect by traditional time-domain analysis, significantly improving the detection sensitivity for minute leaks. Secondly, by setting an amplitude threshold, abnormal frequency bands can be quickly screened out, avoiding false judgments of normal pressure fluctuations and improving the detection accuracy. At the same time, by determining the frequency range of minute pressure anomalies and extracting the main frequency values, the abnormal characteristic frequencies can be accurately located, providing a scientific basis for subsequent periodic photo shooting, ensuring the pertinence and efficiency of the monitoring strategy, not only enhancing the detection ability for minute pressure anomalies, but also simplifying the data processing process and improving the detection response speed.

[0031] The second object of the present invention is to provide a power plant pipeline leakage location detection system, as Figure 2 shown. The system includes a pressure sensor 3, an image sensor 2, a phase-locked signal controller 4, a data processing module 5, and an alarm system; the pressure sensor 3 is electrically connected to the data processing module 5; the data processing module 5 is electrically connected to the phase-locked signal controller 4; the phase-locked signal controller 4 is electrically connected to the image sensor 2; the image sensor 2 is connected to the control center; the alarm system is connected to the control center; the image sensor 2 is arranged around the pressure sensor 3.

[0032] The present invention monitors the pressure changes of the power plant pipeline 1 in real time through the pressure sensor 3, and then transmits the pressure data to the data processing module 5 for detecting abnormal large peak fluctuations of the pressure. At the same time, spectrum analysis (such as Fourier transform) is performed on the pressure data within a preset time to generate a spectrogram. If there is a frequency band in the spectrogram whose amplitude exceeds the preset threshold, there is a minute pressure anomaly, and then the periodic leakage frequency corresponding to the minute pressure anomaly is obtained. When there is an abnormal large peak fluctuation, the data processing module 5 transmits a video shooting signal to the phase-locked signal controller 4, and controls the image sensor 2 to shoot the surface of the power plant pipeline 1 in real time through the phase-locked signal controller 4. When there is a minute pressure anomaly, the data processing module 5 transmits a periodic shooting signal to the phase-locked signal controller 4, and controls the image sensor 2 to periodically shoot the surface of the power plant pipeline 1 through the phase-locked signal controller 4, and the shooting frequency is the same as the periodic leakage frequency corresponding to the minute pressure anomaly. The captured video or photo is sent to the control center, and the control center analyzes the specific type and accurate location of the leakage of the power plant pipeline 1 and issues an alarm through the alarm system for maintenance personnel to perform repairs.

[0033] A plurality of the pressure sensors 3 are provided. In the present invention, the pressure sensors 3 are distributed and installed at the valves, flange joints, pipeline corners of the power station pipeline network 1 and other areas prone to leakage, and the distance between adjacent pressure sensors 3 does not exceed 5 meters. Through the distributed layout, the key nodes and weak links of the power station pipeline network 1 can be comprehensively covered, realizing high-density monitoring of the leakage risk areas, and significantly improving the comprehensiveness and reliability of detection. At the same time, the design with the distance between adjacent sensors not exceeding 5 meters ensures the spatial resolution and continuity of the pressure data, can more accurately locate the leakage position, and controls the positioning error within the minimum range; in addition, the high-density layout method can also effectively eliminate false alarms of a single sensor through the comparative analysis of multi-sensor data, improving the accuracy of the detection results.

[0034] The real-time acquisition frequency of the pressure sensor 3 is not less than 1000 Hz, and the single-point pressure data is acquired at a high frequency. High-frequency acquisition can capture the instantaneous changes in the internal pressure of the power station pipeline network 1, realizing refined monitoring of the pressure fluctuations, and significantly improving the detection sensitivity to sudden leakage and subtle pressure anomalies; secondly, since the data volume of the single-point pressure data is relatively small, high-frequency acquisition avoids the storage and transmission burdens brought by large data volumes while ensuring data accuracy, reducing the consumption of system resources; in addition, high-frequency acquisition combined with the real-time monitoring mechanism can quickly respond to the pressure changes inside the power station pipeline network 1, shortening the time interval from the occurrence of an anomaly to the detection response, and improving the real-time performance and reliability of the system.

[0035] The image sensor 2 includes a camera; a lighting component is arranged around the camera; the shooting speed range of the camera is from 1000 frames per second to 5000 frames per second. The setting of the lighting component ensures that clear images can still be obtained in low-light or night environments, avoiding the decline in image quality caused by environmental light problems, and improving the reliability and applicability of detection; in addition, high-frame-rate (from 1000 frames per second to 5000 frames per second) shooting combined with the assistance of the lighting component can record the process details of the occurrence of leakage in real time, providing rich visual information for subsequent leakage analysis and fault diagnosis.

[0036] Through the collaborative work of the pressure sensor 3 and the image sensor 2, the present invention constructs a set of efficient and accurate online dynamic monitoring system, which has significant technical advantages and application values: First of all, the phase-locked collaborative mechanism of the pressure sensor 3 and the image sensor 2 can trigger image acquisition when the pressure is abnormal, and only shoot videos or take images at specific intervals at the moment of leakage, avoiding a large amount of redundant data generated by the traditional image sensor 2 during long-term real-time monitoring, and significantly reducing the data storage and processing burden; Secondly, through the complementary analysis of pressure data and visual information, the system can accurately determine the leakage type (such as jet-like, infiltration-like, etc.), and achieve high-precision positioning, effectively capturing the specific moment and location of leakage, and controlling the positioning error within the minimum range; In addition, the system has real-time and sustainability, can dynamically monitor the operation status of the power plant pipeline network 1, respond to abnormal situations in a timely manner, and provide data support for predictive maintenance; At the same time, its modular design and strong adaptability enable it to be applicable to different types of power plants and industrial power plant pipeline networks, providing a reliable technical basis for the online real-time detection of leakage in various power plant pipeline networks 1, and having a wide range of promotion and application prospects.

[0037] Embodiment A plurality of pressure sensors 3 are arranged at the valves, flange joints and pipeline corner areas of the power plant pipeline network 1, and at the same time, a plurality of image sensors 2 are arranged around the plurality of sensors, and the plurality of sensors and the plurality of image sensors 2 correspond one by one; The plurality of sensors are connected to the data processing module 5; As Figure 3 shown, the data processing module compares the real-time pressure monitoring data with the historical abnormal large peak data. When the real-time pressure monitoring data reaches the historical abnormal large peak data, the data processing module 5 sends a video shooting signal to the phase-locked signal controller 4; At the same time, when the system is running normally, the data processing module 5 extracts the real-time pressure monitoring data for a fixed time length, performs Fourier transform, obtains the frequency (50 Hz) of the global periodic minor leakage abnormality of the power plant pipeline network 1, and sends a periodic shooting signal to the phase-locked signal controller 4; The phase-locked signal controller 4 controls the image sensor 2 to take pictures according to the corresponding signal. The image sensor 2 shoots videos or takes pictures periodically at 50 Hz. The control center analyzes the leakage type of the power plant pipeline network 1 based on the videos and pictures and issues an abnormal alarm, and provides detailed leakage location and status information to help the operation and maintenance personnel perform repairs or scheduling in a timely manner, reducing the system failure time.

[0038] The above is only the preferred embodiment of the present invention and is not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for locating and detecting leakage in a power station pipeline network, characterized in that: The following steps are involved: Collect pressure data of the power station pipeline network (1) in real time; If the pressure data is greater than the historical abnormal peak value data, a video of the power station pipe network (1) is taken; Performing spectrum analysis on pressure data within a preset time, and if there is a slight pressure anomaly, obtaining a frequency corresponding to the slight pressure anomaly, and periodically taking photos of the power station pipe network (1) according to the frequency; The leakage type is analyzed and the leakage position is located based on the video or photo.

2. A method for locating and detecting leakage in a power station pipeline network according to claim 1, characterized in that: The frequency spectrum analysis is performed on the pressure data within the preset time. If there is a slight pressure anomaly, the specific method for obtaining the frequency corresponding to the slight pressure anomaly is: Perform spectral analysis on the pressure data within a preset time to generate a spectrum graph. If there is a frequency segment in the spectrum graph with an amplitude exceeding a preset threshold, there is a subtle pressure anomaly. Determine the frequency range of the subtle pressure anomaly based on the spectrum graph, and obtain the frequency value (main frequency value) with the maximum amplitude within the frequency range.

3. A method for locating and detecting leakage in a power station pipeline network according to claim 1, characterized in that: After the leakage position is located, an abnormality alarm is also issued.

4. A power station pipeline leakage location detection system, characterized in that: The method applied to any one of claims 1 to 3, wherein the system comprises a pressure sensor (3), an image sensor (2), a phase-locked signal controller (4) and a data processing module (5); the pressure sensor (3) and the data processing module (5) are electrically connected; the data processing module (5) and the phase-locked signal controller (4) are electrically connected; the phase-locked signal controller (4) and the image sensor (2) are electrically connected; the image sensor (2) and the control center are connected; and the image sensor (2) is arranged around the pressure sensor (3).

5. A power station pipeline leakage location detection system according to claim 4, characterized in that: The utility model also comprises an alarm system, and the alarm system is connected with a control center.

6. A power station pipeline leakage location detection system according to claim 4, characterized in that: The pressure sensors (3) are provided in plurality and are installed in a distributed manner at valves, flange connections and pipeline corners of the power station pipeline network (1).

7. A power station pipeline leakage location detection system according to claim 6, characterized in that: The distance between adjacent pressure sensors (3) does not exceed 5 meters.

8. A power station pipeline leakage location detection system according to claim 4, characterized in that: The real-time acquisition frequency of the pressure sensor (3) is not less than 1000 Hz.

9. A power station pipeline network leakage location detection system according to claim 4, characterized in that: The image sensor (2) comprises a camera; a lighting component is arranged around the camera.

10. A power station pipeline leakage location detection system according to claim 9, characterized in that: The shooting speed of the camera ranges from 1000 frames / second to 5000 frames / second.

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