An oil and gas well gas leak acoustic fingerprinting device

Abstract

A gas leak soundprint identification device for oil and gas wells belongs to the field of acoustics and signal processing technology. It includes a soundprint analysis terminal, an array-type acoustic sensor, and sensor cables. One end of the sensor cable connects to any sensor interface of the soundprint analysis terminal, and the other end connects to the data interface of the array-type acoustic sensor. The back of the soundprint analysis terminal has a grounding point and two sensor interfaces. The back of the soundprint analysis terminal also features an indicator light, a power interface, a network interface, a 4G antenna interface, a dust cover, a SIM card interface, and a reset button. The array-type acoustic sensor is circular with a data interface at the bottom, and microphones are evenly spaced on the front. A mounting bracket is located on the back of the array-type acoustic sensor. This invention utilizes the directivity of a multi-microphone array to filter environmental interference and improve the sensor's anti-interference capability. The soundprint analysis terminal responds quickly and can accurately identify the unique soundprint characteristics of leaking sounds, eliminating environmental noise interference and improving detection accuracy.

Description

Technical Field

[0001] This invention belongs to the field of acoustics and signal processing technology, and specifically relates to an acoustic fingerprint recognition device for gas leaks in oil and gas wells. Background Technology

[0002] Oil and gas resources are the core of a nation's energy supply. The extraction and transportation of these resources carries the risk of gas leaks, which not only seriously affect production safety but also cause severe environmental pollution. Accurate and timely detection of gas leaks is a critical issue in the oil and gas industry. Currently, various detection instruments and equipment are available on the market to address gas leak detection, each with its own advantages and disadvantages. Among them, sound-based gas leak measurement instruments are a relatively new detection method. Their principle is to determine whether a gas leak has occurred by analyzing the characteristics of leak sound wave signals in the environment.

[0003] The advantages of sound-based gas leak detection equipment are non-contact measurement, no limitation on gas type, fast response speed, and strong environmental adaptability. However, the following problems still need to be solved: (1) sound signal propagation attenuation is fast, and the effective detection distance of a single microphone is relatively short; (2) it is easily interfered with by other sounds in the environment, resulting in a high false alarm rate. Summary of the Invention

[0004] To address the technical problems of existing sound-based gas leak measurement instruments, such as short detection range and susceptibility to environmental interference, this invention provides an acoustic fingerprint identification device for oil and gas well gas leaks, belonging to the field of acoustics and signal processing technology. It includes an acoustic fingerprint analysis terminal, an array-type acoustic sensor, and sensor cables. One end of the sensor cable connects to any sensor interface of the acoustic fingerprint analysis terminal, and the other end connects to the data interface of the array-type acoustic sensor. The acoustic fingerprint analysis terminal has a grounding point and two sensor interfaces on its back. The back of the acoustic fingerprint analysis terminal also features an indicator light, a power interface, a network interface, a 4G antenna interface, a dust cover, a SIM card interface, and a reset button. The array-type acoustic sensor is circular with a data interface at the bottom, and microphones are evenly spaced on its front. A mounting bracket is located on the back of the array-type acoustic sensor. This invention utilizes the directivity of the multi-microphone array to filter out environmental interference and improve the sensor's anti-interference capability. The acoustic fingerprint analysis terminal responds quickly and can accurately identify the unique acoustic fingerprint characteristics of leaking sounds, eliminating environmental noise interference and improving detection accuracy.

[0005] The present invention adopts the following technical solution:

[0006] An acoustic fingerprint identification device for gas leaks in oil and gas wells includes an acoustic fingerprint analysis terminal 1, an array-type acoustic sensor 2, and a sensor cable 3; the acoustic fingerprint analysis terminal 1 and the array-type acoustic sensor 2 are interconnected via the sensor cable 3.

[0007] The back of the voiceprint analysis terminal 1 is provided with a grounding 5 and two sensor interfaces 4. The two sensor interfaces 4 are installed side by side on one side of the back of the voiceprint analysis terminal 1, and the grounding 5 is installed on the other side of the back of the voiceprint analysis terminal 1.

[0008] The front of the voiceprint analysis terminal 1 is sequentially equipped with indicator lights 6, a power interface 7, a network interface 8, a 4G antenna interface 9, a dust cover 10, a SIM card interface 11, and a reset button 12. The indicator lights 6 include a power indicator, a network indicator, and a communication indicator. The power interface 7 supplies power to the voiceprint analysis terminal 1 and supports 9V to 24V DC power. The network interface 8 is an RJ45 Ethernet interface. The 4G antenna interface 9 is an SMA interface, electrically connected to the SIM card interface 11. The dust cover 10 is made of soft silicone material and is movably connected to the upper end of the SIM card interface 11 and the reset button 12, protecting them. The SIM card interface 11 is used to insert a SIM card for 4G data communication. A long press of the reset button 12 resets the voiceprint analysis terminal 1.

[0009] The array-type acoustic sensor 2 is circular, with a data interface 15 at the bottom. Eight microphones 13 are arranged in a ring on the front of the array-type acoustic sensor 2. One end of the sensor cable 3 is connected to any one of the sensor interfaces 4 of the voiceprint analysis terminal 1, and the other end is connected to the data interface 15 of the array-type acoustic sensor 2.

[0010] Furthermore, the array-type acoustic sensor 2 includes an array-type acoustic sensor front shell 2-1, an array-type acoustic sensor rear shell 2-2, and an internal microphone array board 22; the array-type acoustic sensor front shell 2-1 is provided with an array-type acoustic sensor front shell mounting hole 26, and the array-type acoustic sensor rear shell 2-2 is provided with an array-type acoustic sensor rear shell mounting hole 25 and an array-type acoustic sensor bracket mounting hole 27; the positions of the array-type acoustic sensor front shell mounting hole 26 and the array-type acoustic sensor rear shell mounting hole 25 correspond to each other;

[0011] The microphone array plate 22 is placed inside the array acoustic sensor 2 and fixed to the front shell 2-1 of the array acoustic sensor with screws; the microphone array plate 22 contains 8 microphones 13, which are arranged in a ring and uniformly; the microphone array plate 22 enhances the sound in a specified direction through beamforming operation; the microphones 13 are MEMS digital microphones with a frequency response range of 20Hz to 20kHz.

[0012] The rear shell 2-2 of the array-type acoustic sensor is provided with a mounting bracket 14, and the mounting bracket 14 is provided with a bracket mounting hole 28, which corresponds to the position of the array-type acoustic sensor bracket mounting hole 27.

[0013] Furthermore, both the sensor interface 4 and the data interface 15 are aviation plug interfaces, which are fixedly connected to the aviation plug interface on the sensor cable 3; the sensor cable 3 transmits the sound data collected by the array acoustic sensor 2 to the voiceprint analysis terminal 1; the data ground 15 is used to connect to the ground to prevent damage to the equipment caused by lightning strikes.

[0014] Furthermore, the voiceprint analysis terminal 1 includes a front shell 1-1, a rear shell 1-2, and an internal main control board 16;

[0015] The front shell 1-1 of the voiceprint analysis terminal has four corners with mounting holes 23 for the rear shell of the voiceprint analysis terminal, and the rear shell 1-2 of the voiceprint analysis terminal has four corners with mounting holes 24 for the front shell of the voiceprint analysis terminal. The mounting holes 23 and 24 for the rear shell of the voiceprint analysis terminal correspond one-to-one.

[0016] The main control board 16 is located inside the voiceprint analysis terminal 1. The main control board 16 includes a data processing module 17, an analog-to-digital converter module 18, a power management module 19, a 4G communication module 20, and an Ethernet communication module 21. The data processing module 17, analog-to-digital converter module 18, and 4G communication module 20 are arranged side-by-side. The Ethernet communication module 21 is located behind the analog-to-digital converter module 18, and the power management module 19 is located in front of the data processing module 17. The analog-to-digital converter module 18 is electrically connected to the sensor interface 4 and is connected to the data processing module 17 via an SPI interface. The Ethernet communication module 21 is electrically connected to the network interface 8 and is also connected to the data processing module 17 via a USB interface. The 4G communication module 20 is electrically connected to the 4G antenna interface 9 and the SIM interface 11, and is connected to the data processing module 17 via a TTL interface.

[0017] Furthermore, the data processing module 17 uses the Rockchip RK3568J chip as the core processing unit; the data processing module 17 integrates a quad-core ARM Cortex-A55 processor; the single-core ARM Cortex-A55 processor has a main frequency of up to 2.0GHz, integrates a 1TOPS computing power NPU, and supports mainstream deep learning frameworks.

[0018] Furthermore, the analog-to-digital conversion module 18 uses the CS5340 chip as its core component; the CS5340 chip is a high-performance 24-bit stereo analog-to-digital converter that supports dual-channel synchronous acquisition and has a maximum sampling rate of 192kHz.

[0019] Furthermore, the power management module 19 adopts a wide voltage power supply of DC 9V to 24V, and also supports the POE802.3at power supply standard.

[0020] Furthermore, the 4G communication module 20 adopts the E840-TTL (EC05-DGC) type 4G module, which features small size, high speed, low latency and simple use, and supports full network access, satellite positioning and VPN / APN private network access.

[0021] Furthermore, the Ethernet communication module 21 uses a CH397A USB to Ethernet chip, which supports 10 / 100Mbps adaptive speed, has a wide operating temperature range, and is suitable for industrial scenarios.

[0022] The present invention has the following beneficial effects:

[0023] This invention employs an array-type acoustic sensor, which, compared to traditional single-microphone sensors, further expands the sound pickup range and increases the detection distance. Simultaneously, the directivity of the multi-microphone array filters out environmental interference, enhancing the sensor's anti-interference capability. The acoustic signature analysis terminal utilizes an optimized deep learning algorithm, offering rapid response and accurately identifying the unique acoustic signature characteristics of leaking sounds, further eliminating environmental noise interference and improving detection accuracy. The device features remote communication capabilities, enabling timely transmission of identification results back to the control center, triggering automatic audible and visual alarms, valve shut-off, and other operations in conjunction with the emergency system, thereby enhancing the intelligent management level of oil and gas field safety production. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0025] Figure 2 This is a schematic diagram of the back of the voiceprint analysis terminal of the present invention;

[0026] Figure 3 This is a front view of the voiceprint analysis terminal of the present invention;

[0027] Figure 4 This is a front view of the array-type acoustic sensor of the present invention;

[0028] Figure 5 An exploded view of the array-type acoustic sensor module of the present invention;

[0029] Figure 6 This is an exploded view of the voiceprint analysis terminal module of the present invention;

[0030] Figure 7 This is a block diagram of the hardware composition of the main control board of the voiceprint analysis terminal of the present invention;

[0031] In the diagram, 1-Voiceprint analysis terminal; 2-Array acoustic sensor; 3-Sensor cable; 4-Sensor interface; 5-Ground; 6-Indicator light; 7-Power interface; 8-Network interface; 9-SAM antenna interface; 10-Dust cover; 11-SIM card interface; 12-Reset button; 13-Microphone; 14-Mounting bracket; 15-Data interface; 16-Main control board; 17-Data processing module; 18-Analog-to-digital conversion module; 19-Power management module; 20-4G communication module; 21-Ethernet communication module; 22-Microphone array board; 23-Voiceprint analysis terminal rear shell mounting hole; 24-Voiceprint analysis terminal front shell mounting hole; 25-Array acoustic sensor rear shell mounting hole; 26-Array acoustic sensor front shell mounting hole; 27-Array acoustic sensor bracket mounting hole; 28-Bracket mounting hole. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings.

[0033] An acoustic fingerprint identification device for gas leaks in oil and gas wells, such as Figure 1 As shown, it includes a voiceprint analysis terminal 1, an array-type acoustic sensor 2, and a sensor cable 3; the voiceprint analysis terminal 1 and the array-type acoustic sensor 2 are interconnected through the sensor cable 3.

[0034] like Figure 2 As shown, the back of the voiceprint analysis terminal 1 is provided with a grounding 5 and two sensor interfaces 4. The two sensor interfaces 4 are installed side by side on one side of the back of the voiceprint analysis terminal 1, and the grounding 5 is installed on the other side of the back of the voiceprint analysis terminal 1.

[0035] like Figure 3 As shown, the front of the voiceprint analysis terminal 1 is sequentially equipped with an indicator light 6, a power interface 7, a network interface 8, a 4G antenna interface 9, a dust cover 10, a SIM card interface 11, and a reset button 12. The indicator light 6 includes a power indicator, a network indicator, and a communication indicator. The power interface 7 supplies power to the voiceprint analysis terminal 1 and supports 9V to 24V DC power. The network interface 8 is an RJ45 Ethernet interface. The 4G antenna interface 9 is an SMA interface, electrically connected to the SIM card interface 11. The dust cover 10 is made of silicone and is movably connected to the upper end of the SIM card interface 11 and the reset button 12, protecting them. The SIM card interface 11 is used to insert a SIM card for 4G data communication. A long press of the reset button 12 resets the voiceprint analysis terminal 1.

[0036] like Figure 4As shown, the array-type acoustic sensor 2 is circular, with a data interface 15 at the bottom. Eight microphones 13 are arranged in a ring on the front of the array-type acoustic sensor 2. One end of the sensor cable 3 is connected to any one of the sensor interfaces 4 of the voiceprint analysis terminal 1, and the other end is connected to the data interface 15 of the array-type acoustic sensor 2.

[0037] like Figure 5 As shown, the array-type acoustic sensor 2 includes an array-type acoustic sensor front shell 2-1, an array-type acoustic sensor rear shell 2-2, and an internal microphone array board 22; the array-type acoustic sensor front shell 2-1 is provided with an array-type acoustic sensor front shell mounting hole 26, and the array-type acoustic sensor rear shell mounting hole 25 and an array-type acoustic sensor bracket mounting hole 27 are provided on the array-type acoustic sensor rear shell mounting hole 25; the positions of the array-type acoustic sensor front shell mounting hole 26 and the array-type acoustic sensor rear shell mounting hole 25 correspond to each other.

[0038] The microphone array plate 22 is placed inside the array acoustic sensor 2 and fixed to the front shell 2-1 of the array acoustic sensor with screws; the microphone array plate 22 contains 8 microphones 13, which are arranged in a ring and uniformly; the microphone array plate 22 enhances the sound in a specified direction through beamforming operation; the microphones 13 are MEMS digital microphones with a frequency response range of 20Hz to 20kHz.

[0039] The rear shell 2-2 of the array-type acoustic sensor is provided with a mounting bracket 14, and the mounting bracket 14 is provided with a bracket mounting hole 28, which corresponds to the position of the array-type acoustic sensor bracket mounting hole 27.

[0040] Both the sensor interface 4 and the data interface 15 are aviation connectors, which are fixedly connected to the aviation connectors on the sensor cable 3; the sensor cable 3 transmits the sound data collected by the array acoustic sensor 2 to the voiceprint analysis terminal 1; the data ground 15 is used to connect to the ground to prevent damage to the equipment caused by lightning strikes.

[0041] like Figure 6 and Figure 7 As shown, the voiceprint analysis terminal 1 includes a front shell 1-1, a rear shell 1-2, and an internal main control board 16.

[0042] The front shell 1-1 of the voiceprint analysis terminal has four corners with mounting holes 23 for the rear shell of the voiceprint analysis terminal, and the rear shell 1-2 of the voiceprint analysis terminal has four corners with mounting holes 24 for the front shell of the voiceprint analysis terminal. The mounting holes 23 and 24 for the rear shell of the voiceprint analysis terminal correspond one-to-one.

[0043] The main control board 16 is located inside the voiceprint analysis terminal 1. The main control board 16 includes a data processing module 17, an analog-to-digital converter module 18, a power management module 19, a 4G communication module 20, and an Ethernet communication module 21. The data processing module 17, analog-to-digital converter module 18, and 4G communication module 20 are arranged side-by-side. The Ethernet communication module 21 is located behind the analog-to-digital converter module 18, and the power management module 19 is located in front of the data processing module 17. The analog-to-digital converter module 18 is electrically connected to the sensor interface 4 and is connected to the data processing module 17 via an SPI interface. The Ethernet communication module 21 is electrically connected to the network interface 8 and is also connected to the data processing module 17 via a USB interface. The 4G communication module 20 is electrically connected to the 4G antenna interface 9 and the SIM interface 11, and is connected to the data processing module 17 via a TTL interface.

[0044] The data processing module 17 uses the Rockchip RK3568J chip as the core processing unit; the data processing module 17 integrates a quad-core ARM Cortex-A55 processor; the single-core ARM Cortex-A55 processor has a main frequency of up to 2.0GHz, integrates a 1TOPS computing power NPU, and supports mainstream deep learning frameworks.

[0045] The analog-to-digital conversion module 18 uses the CS5340 chip as its core component; the CS5340 chip is a high-performance 24-bit stereo analog-to-digital converter that supports dual-channel synchronous acquisition and has a maximum sampling rate of 192kHz.

[0046] The power management module 19 adopts a wide voltage power supply of DC 9V to 24V and also supports the POE802.3at power supply standard.

[0047] The 4G communication module 20 adopts the E840-TTL(EC05-DGC) type 4G module, which features small size, high speed, low latency and simple use, and supports full network access, satellite positioning and VPN / APN private network access.

[0048] The Ethernet communication module 21 uses the CH397A USB to Ethernet chip, which supports 10 / 100Mbps adaptive speed, has a wide operating temperature range, and is suitable for industrial scenarios.

Claims

1. A gas leak acoustic signature identification device for oil and gas wells, characterized in that, It includes a voiceprint analysis terminal, an array-type acoustic sensor, and sensor cables; the voiceprint analysis terminal and the array-type acoustic sensor are interconnected via sensor cables; The back of the voiceprint analysis terminal is provided with a ground and two sensor interfaces. The two sensor interfaces are installed side by side on one side of the back of the voiceprint analysis terminal, and the ground is installed on the other side of the back of the voiceprint analysis terminal. The back of the voiceprint analysis terminal is sequentially equipped with indicator lights, a power interface, a network interface, a 4G antenna interface, a dust cover, a SIM card interface, and a reset button. The indicator lights include a power indicator, a network indicator, and a communication indicator. The power interface supplies power to the voiceprint analysis terminal and supports 9V~24V DC power. The network interface is an RJ45 Ethernet interface. The 4G antenna interface is an SMA interface, electrically connected to the SIM card interface. The dust cover protects the SIM card interface and the reset button. A SIM card is inserted into the SIM card interface for 4G data communication. A long press of the reset button resets the voiceprint analysis terminal. The array-type acoustic sensor is circular with a data interface at the bottom. Eight microphones are arranged in a ring on the front of the array-type acoustic sensor. One end of the sensor cable is connected to any sensor interface of the acoustic signature analysis terminal, and the other end is connected to the data interface of the array acoustic sensor.

2. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 1, characterized in that, The array-type acoustic sensor includes an array-type acoustic sensor front shell, an array-type acoustic sensor rear shell, and an internal microphone array board; the array-type acoustic sensor front shell has an array-type acoustic sensor front shell mounting hole, and the array-type acoustic sensor rear shell has an array-type acoustic sensor rear shell mounting hole and an array-type acoustic sensor bracket mounting hole; the positions of the array-type acoustic sensor front shell mounting hole and the array-type acoustic sensor rear shell mounting hole correspond to each other. The microphone array board is placed inside the array-type acoustic sensor and fixed to the front shell of the array-type acoustic sensor with screws; the microphone array board contains 8 microphones, which are evenly arranged in a ring; the microphone array board enhances the sound in a specified direction through beamforming calculation; the microphones are MEMS digital microphones. The rear shell of the array-type acoustic sensor is provided with a mounting bracket, and the mounting bracket has mounting holes, the positions of which correspond to the mounting holes of the array-type acoustic sensor.

3. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 1, characterized in that, Both the sensor interface and the data interface are aviation connectors, which are fixedly connected to the aviation connectors on the sensor cable; the sensor cable transmits the sound data collected by the array acoustic sensor to the acoustic signature analysis terminal.

4. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 1, characterized in that, The dust cover is made of soft silicone material.

5. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 1, characterized in that, The voiceprint analysis terminal includes a front shell, a rear shell, and a main control board. The front shell has mounting holes for the rear shell; the rear shell has mounting holes for the front shell, and these holes correspond one-to-one. The main control board is located inside the voiceprint analysis terminal and includes a data processing module, an analog-to-digital converter (ADC), a power management module, a 4G communication module, and an Ethernet communication module. These modules are arranged in parallel, with the Ethernet communication module positioned behind the ADC and the power management module in front of the data processing module. The ADC is electrically connected to a sensor interface and to the data processing module via an SPI interface. The Ethernet communication module is electrically connected to a network interface and to the data processing module via a USB interface. The 4G communication module is electrically connected to both a 4G antenna interface and a SIM interface, and to the data processing module via a TTL interface.

6. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 5, characterized in that, The data processing module uses the Rockchip RK3568J chip as the core processing unit; the data processing module integrates a quad-core ARM Cortex-A55 processor; the single-core ARM Cortex-A55 processor has a main frequency of up to 2.0GHz and integrates a 1TOPS computing power NPU.

7. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 5, characterized in that, The analog-to-digital conversion module uses the CS5340 chip as its core component; the CS5340 chip is a high-performance stereo analog-to-digital converter.

8. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 5, characterized in that, The power management module uses a wide voltage range of 9V~24V DC power supply.

9. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 5, characterized in that, The 4G communication module is an E840-TTL type 4G module.

10. The acoustic fingerprint identification device for gas leaks in oil and gas wells according to claim 5, characterized in that, The Ethernet communication module uses the CH397A USB to Ethernet chip.

Images