Fire-fighting pipe network leakage point detection system based on multi-modal fusion

Abstract

The invention relates to the technical field of fire-fighting pipe network detection, in particular to a fire-fighting pipe network leakage point detection system based on fusion of sound wave, thermal imaging and gas tracing technologies, which is composed of a control terminal, a sound pickup, a thermal imaging module, a gas tracing module and a server. The control terminal coordinates all the modules to work, generates a detection starting signal and sends the detection starting signal to the sound pick-up, the temperature sensing probe and the contact combustion type gas sensor; the sound pick-up emits vibration sound waves, receives echoes and captures pipeline vibration information; the temperature sensing probe sends a temperature signal to the thermal imaging module, and the thermal imaging module detects local temperature change caused by water leakage through an infrared thermal imaging technology; the gas tracing module injects safe tracing gas (such as mixed gas of hydrogen and nitrogen), and a high-sensitivity gas sensor is used for tracing a leakage path. And the server performs multi-modal fusion analysis on the sound wave, thermal imaging and gas tracing data to determine the position of a leakage point.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire protection pipe network detection, and in particular relates to a fire protection pipe network leakage detection system based on the fusion of sound wave, thermal imaging and gas tracing technology. Background Art

[0002] The fire protection network is a water pipe system used for fire prevention and fire extinguishing. It is mainly composed of two parts: the outdoor fire protection water supply network and the indoor fire protection water supply network. Its main function is to provide a stable and reliable water source for fire protection equipment when a fire occurs, so as to ensure that the fire can be controlled and extinguished in time. However, as time goes by, the underground water supply network will age and cause leakage problems. Water leakage at the leaking point may result in insufficient water volume and water pressure when a fire occurs, thus affecting the fire protection effect. Therefore, it is necessary to conduct regular leak detection on the fire protection network.

[0003] Traditional leak detection methods mainly use water pressure tests combined with acoustic wave detection equipment (such as leak detectors) for detection. However, traditional listening equipment is easily disturbed by the complex environment of underground pipe networks, such as the sound of water flowing in nearby sewers, traffic vibrations and other background noises, which can lead to signal misjudgment. In addition, existing acoustic wave detectors have limited ability to capture tiny leaks (such as leakage <0.1L / min), especially when the burial depth exceeds 1.5 meters or the pipe material has strong sound absorption (such as PE pipes), the leakage point positioning error can reach 2 to 3 meters. Summary of the invention

[0004] The present invention is intended to provide a fire protection pipe network leak detection system based on multimodal fusion. The system integrates multimodal detection technologies such as sound waves, thermal imaging, gas tracers (such as hydrogen), and combines adaptive filtering algorithms and automatic frequency matching to suppress environmental noise and improve the accuracy and sensitivity of leak detection.

[0005] A fire protection pipe network leakage detection system based on multimodal fusion in this solution is characterized by comprising: a control terminal, a microphone, a server, a thermal imaging module and a gas tracing module; wherein,

[0006] The control terminal is used to generate a detection start signal in response to a detection start operation, and send the detection start signal to the pickup, thermal imaging module and gas tracer module attached to the target detection node;

[0007] The pickup is used to output a vibration sound wave and receive a vibration echo in response to the detection start signal;

[0008] The thermal imaging module is used to capture local temperature changes caused by water leakage and generate thermal imaging data;

[0009] The gas tracer module is used to inject safe tracer gas and track the leakage diffusion path through a highly sensitive gas sensor to generate gas tracer data;

[0010] The server is used to respectively determine the target vibration data corresponding to the vibration sound wave and the vibration echo, and determine the leakage detection result of each leakage detection node according to the target vibration data, wherein the target vibration data is data characterizing the phase and amplitude of the sound wave; and is also used to determine the leakage detection result of each leakage detection node according to the thermal imaging data and the gas tracer data in combination with the target vibration data.

[0011] The working principle of the present invention is: Compared with the traditional equipment that relies solely on sound waves for leak detection, the main difference of this scheme is: 1. The thermal imaging module uses infrared thermal imaging technology to capture the temperature distribution on the surface of the pipeline. When a pipeline leaks, the water around the leak will evaporate or absorb heat, resulting in local temperature changes. The thermal imaging module can capture these tiny temperature changes and generate thermal imaging data. These data can help locate leaks, especially in areas that are difficult to cover with sound wave detection. 2. The gas tracer module tracks the leakage path by injecting a safe tracer gas (such as a mixture of hydrogen and nitrogen) into the pipeline. The tracer gas diffuses in the pipeline and escapes from the leak when it encounters a leak. Highly sensitive gas sensors can detect these escaping gases and generate gas tracer data. The gas tracer module is particularly suitable for detecting tiny leaks and leaks in complex environments.

[0012] The beneficial technical effect of the present invention is that by combining the three detection methods of sound wave, thermal imaging and gas tracing, the system can capture leakage information from multiple dimensions and reduce the limitations of a single detection method. Traditional sound wave detection methods are easily disturbed by the complex environment of underground pipe networks (such as sewer water sound, traffic vibration, etc.), resulting in signal misjudgment. Through multimodal fusion, this system can effectively overcome these interferences, improve the detection capability of small leaks, reduce leakage location errors, and improve the reliability of detection.

[0013] The introduction of thermal imaging modules and gas tracer modules enables the system to conduct effective detection in areas that are difficult to cover with acoustic wave detection (such as areas with a burial depth of more than 1.5 meters or areas with strong sound absorption of pipe materials).

[0014] Furthermore, the gas tracer module includes a gas cylinder storing the tracer gas and a pressure reducer, and the gas cylinder is connected to the pipeline to be tested through the pressure reducer. The tracer gas is stored and connected to the pipeline to be tested through the pressure reducer to ensure that the gas is injected into the pipeline at an appropriate pressure. The gas pressure is controlled by the pressure reducer to ensure that the gas can be injected into the pipeline evenly and stably, thereby improving the accuracy of gas tracing. The tracer gas is ensured to be safely injected to avoid the danger caused by excessive pipeline pressure.

[0015] Furthermore, the tracer gas is a mixture of hydrogen and nitrogen, wherein the amount of hydrogen is 3% to 8% and the balance is nitrogen. Hydrogen has high diffusivity and low density, can diffuse quickly and be easily detected by the gas sensor, and improves the detection sensitivity. Nitrogen is used as a diluent to reduce the concentration of hydrogen and ensure the safety of the tracer gas.

[0016] Furthermore, the gas sensor is a contact combustion type gas sensor. An electrical signal is generated by detecting the combustion reaction when the tracer gas contacts the sensor. The contact combustion type gas sensor has high sensitivity to combustible gases such as hydrogen, can accurately detect small leaks, and quickly respond to changes in gas concentration to generate detection data in real time.

[0017] Furthermore, it also includes a display for displaying thermal imaging data, gas tracer data, target vibration data and leak detection results. The display can intuitively display various detection data, integrate multi-modal data, and provide comprehensive leak detection information, which is convenient for operators to monitor and analyze in real time and make decisions in time.

[0018] Furthermore, the control terminal is also used to adjust at least one of the acoustic wave data, namely, the acoustic wave vibration phase, the acoustic wave amplitude value, and the acoustic wave transmission form, in response to the acoustic wave adjustment operation, to obtain the target acoustic wave parameters, and to generate the detection start signal based on the target acoustic wave parameters. By adjusting the acoustic wave parameters, the system can adapt to different pipeline materials and environmental conditions, and improve the adaptability of the detection; adjusting the acoustic wave parameters according to the actual situation can optimize the detection effect and reduce misjudgment and missed detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural schematic diagram of a fire protection pipe network leakage detection system based on multimodal fusion of the present invention. DETAILED DESCRIPTION

[0020] The following is further described in detail through specific implementation methods:

[0021] The embodiment is basically as shown in the attached Figure 1 As shown: A fire protection pipe network leakage detection system based on multi-modal fusion, including: a control terminal, a server, a thermal imaging module, a gas tracer module and an integrated probe; the integrated probe includes a pickup, a temperature sensing probe and a contact combustion gas sensor, wherein:

[0022] A control terminal, wherein the control terminal is a mobile control terminal, and the control terminal is used to generate a detection start signal in response to a detection start operation, and send the detection start signal to the microphone, thermal imaging module and gas tracer module attached to the target detection node; the control terminal is also used to adjust at least one of the acoustic wave data, including the acoustic wave vibration phase, the acoustic wave amplitude value and the acoustic wave transmission form, in response to an acoustic wave adjustment operation, to obtain target acoustic wave parameters, and generate the detection start signal based on the target acoustic wave parameters.

[0023] A pickup, for outputting a vibration sound wave and receiving a vibration echo in response to the detection start signal;

[0024] A thermal imaging module is electrically connected to a temperature sensing probe. The thermal imaging module is used to capture local temperature changes caused by water leakage and generate thermal imaging data.

[0025] The gas tracer module is electrically connected to the contact combustion type gas sensor. The gas tracer module includes a gas cylinder storing the tracer gas and a pressure reducer. The gas cylinder is connected to the pipeline to be tested through the pressure reducer, and is used to inject safe tracer gas, and track the leakage diffusion path through the contact combustion type gas sensor to generate gas tracer data. The tracer gas is a mixture of hydrogen and nitrogen, wherein the amount of hydrogen is 3% to 8%, and the balance is nitrogen. Preferably, the amount of hydrogen is 5%.

[0026] The server is used to respectively determine the target vibration data corresponding to the vibration sound wave and the vibration echo, and determine the leakage detection result of each leakage detection node according to the target vibration data, wherein the target vibration data is data characterizing the phase and amplitude of the sound wave; and is also used to determine the leakage detection result of each leakage detection node according to the thermal imaging data and the gas tracer data in combination with the target vibration data.

[0027] Also included is a display for displaying thermal imaging data, gas tracer data, target vibration data and leak detection results.

[0028] The fire protection pipe network leakage detection system based on multimodal fusion of the present invention realizes comprehensive and accurate detection of fire protection pipe network leakage points by integrating acoustic wave detection, thermal imaging technology and gas tracing technology. The system consists of a control terminal, a microphone, a thermal imaging module, a gas tracing module and a server. The control terminal coordinates the work of each module, generates a detection start signal and sends it to the microphone, the temperature probe and the contact combustion gas sensor; the microphone emits vibration sound waves and receives echoes to capture pipeline vibration information; the temperature probe sends a temperature signal to the thermal imaging module, and the thermal imaging module detects local temperature changes caused by water leakage through infrared thermal imaging technology; the gas tracing module injects a safe tracer gas (such as a mixture of hydrogen and nitrogen) and uses a high-sensitivity gas sensor to track the leakage path. The server performs multimodal fusion analysis on the acoustic wave, thermal imaging and gas tracing data to determine the location of the leakage point. In addition, the system supports acoustic wave parameter adjustment and real-time data display to further optimize the detection effect.

[0029] The multimodal fusion design of the system significantly improves the accuracy and reliability of leak detection. By combining acoustic wave, thermal imaging and gas tracer technology, the system can effectively overcome the problems of traditional acoustic wave detection being susceptible to environmental interference and insufficient ability to detect small leaks, and is especially suitable for complex environments (such as those with large burial depths or strong sound absorption of pipe materials). The high-sensitivity sensor of the gas tracer module and the temperature capture capability of the thermal imaging module enable the system to detect small leaks (such as leakage volume <0.1L / min) and minimize the error in leak location. In addition, the system's real-time monitoring, data integration and intuitive display functions facilitate rapid response and decision-making by operators, improving detection efficiency and timeliness of maintenance. The overall solution has the advantages of high precision, high sensitivity, strong adaptability, safety and reliability, and provides comprehensive technical support for leak detection in fire protection pipe networks.

Claims

1. A fire protection pipe network leakage detection system based on multimodal fusion, characterized in that: include: Control terminal, microphone, server, thermal imaging module and gas tracer module; among them, The control terminal is used to generate a detection start signal in response to a detection start operation, and send the detection start signal to the pickup, thermal imaging module and gas tracer module attached to the target detection node; The pickup is used to output a vibration sound wave and receive a vibration echo in response to the detection start signal; The thermal imaging module is used to capture local temperature changes caused by water leakage and generate thermal imaging data; The gas tracer module is used to inject safe tracer gas and track the leakage diffusion path through a highly sensitive gas sensor to generate gas tracer data; The server is used to respectively determine the target vibration data corresponding to the vibration sound wave and the vibration echo, and determine the leakage detection result of each leakage detection node according to the target vibration data, wherein the target vibration data is data characterizing the phase and amplitude of the sound wave; and is also used to determine the leakage detection result of each leakage detection node according to the thermal imaging data and the gas tracer data in combination with the target vibration data.

2. According to claim 1, a fire protection pipe network leakage detection system based on multimodal fusion is characterized in that: The gas tracer module comprises a gas cylinder storing the tracer gas and a pressure reducer, and the gas cylinder is connected to the pipeline to be tested via the pressure reducer.

3. According to claim 2, a fire protection pipe network leakage detection system based on multimodal fusion is characterized in that: The tracer gas is a mixture of hydrogen and nitrogen, wherein the amount of hydrogen is 3% to 8% and the balance is nitrogen.

4. According to claim 3, a fire protection pipe network leakage detection system based on multimodal fusion is characterized in that: The gas sensor is a contact combustion type gas sensor.

5. According to claim 4, a fire protection pipe network leakage detection system based on multi-modal fusion is characterized in that: Also included is a display for displaying thermal imaging data, gas tracer data, target vibration data and leak detection results.

6. The fire protection pipe network leakage detection system based on multimodal fusion according to claim 5 is characterized in that: The control terminal is also used to adjust at least one of the sound wave data, including the sound wave vibration phase, the sound wave amplitude value and the sound wave transmission form, in response to the sound wave adjustment operation, to obtain the target sound wave parameters, and to generate the detection start signal based on the target sound wave parameters.

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