A real-time monitoring and alarming device for gas pipeline leakage
Patent Information
- Application Number
- CN202522611856.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-09
- Publication Date
- 2026-10-30
- Estimated Expiration
- 2035-12-09
AI Technical Summary
[0003]目前,燃气管道泄漏监测主要依赖传统人工巡检,但是传统人工巡检方式效率低,受天气、地形及人为因素影响大,存在巡检盲区,对微小泄漏的识别能力弱,且巡检周期长,覆盖面有限,难以满足现代化城市对燃气安全的高要求
1、本实用新型通过激光甲烷传感器便于精准检测燃气泄漏,实现PPB级甲烷浓度监测,更利于捕捉燃气管体的微小泄漏,通过声波传感器便于采集管道运行声纹信号以捕捉泄漏产生的特征声纹,腐蚀状态传感器便于通过电化学阻抗技术监测燃气管体外壁的腐蚀速率,为燃气管体的老化风险预警提供依据,通过压力传感器、温度传感器与湿度传感器便于分别对燃气管体压力、环境的温度与湿度进行监测,同步采集燃气管体工况与环境数据,实现泄漏、腐蚀、第三方施工破坏等风险的精准识别。
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Figure CN224920199U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of gas monitoring technology, specifically a real-time monitoring and alarm device for gas pipeline leaks. Background Technology
[0002] As a core infrastructure for urban energy transmission, the safe and stable operation of gas pipelines is directly related to public safety, people's livelihood, and the ecological environment. They are the lifeline for maintaining the normal operation of cities. With the acceleration of urbanization and the expansion of gas coverage in my country, the total length of urban gas pipelines has exceeded 1 million kilometers, and nearly 30% of the existing pipelines have entered the middle and late stages of service. Problems such as pipeline aging, corrosion, and damage caused by third-party construction are becoming increasingly prominent. Gas leaks, explosions, and other safety accidents occur frequently, causing not only significant economic losses but also posing a serious threat to the lives and property of the people.
[0003] Currently, gas pipeline leak monitoring mainly relies on traditional manual inspections. However, traditional manual inspections are inefficient, greatly affected by weather, terrain and human factors, have blind spots, are weak in identifying minor leaks, and have long inspection cycles and limited coverage, making it difficult to meet the high requirements of modern cities for gas safety. Utility Model Content
[0004] To address the problems mentioned in the background section, this utility model provides a real-time monitoring and alarm device for gas pipeline leaks, which has the advantages of enabling real-time monitoring, intelligent early warning, and dynamic management, thereby improving the safety and control level of gas pipelines.
[0005] To achieve the above objectives, this utility model provides the following technical solution: a real-time monitoring and alarm device for gas pipeline leaks, comprising a gas pipe body, a sensing component disposed on the gas pipe body, a first mounting clip snapped onto the surface of the gas pipe body, a monitoring component disposed on the first mounting clip, a second mounting clip snapped onto the surface of the gas pipe body, fastening bolts threaded onto both sides of the first mounting clip, a Beidou GPS dual-mode positioning module connected to the top of the first mounting clip, an AI intelligent recognition module connected to the top of the first mounting clip, a plurality of auxiliary bolts threaded onto the surfaces of the first and second mounting clips, and an edge computing main control board connected to the top of the gas pipe body.
[0006] Preferably, the sensing component includes a pressure sensor disposed at the top end of the gas pipe body, a temperature sensor connected to the top end of the gas pipe body, and a humidity sensor connected to the top end of the gas pipe body.
[0007] Preferably, the monitoring component includes a laser methane sensor, which is disposed at the top of the first mounting clip. A corrosion status sensor and an acoustic wave sensor are connected to the top of the first mounting clip.
[0008] Preferably, the pressure sensor, the temperature sensor, the humidity sensor, the laser methane sensor, the corrosion state sensor, and the acoustic wave sensor are all electrically connected to the edge computing main control board.
[0009] Preferably, the edge computing main control board is electrically connected to the AI intelligent recognition module.
[0010] Preferably, the surfaces of the two fastening bolts are threaded to both sides of the second mounting clamp.
[0011] Preferably, the surface of each auxiliary bolt is threaded to the inside of the gas pipe body.
[0012] Compared with the prior art, the beneficial effects of this utility model are as follows: 1. This utility model utilizes a laser methane sensor for accurate detection of gas leaks, enabling PPB-level methane concentration monitoring and facilitating the capture of minute leaks in the gas pipe. An acoustic sensor facilitates the collection of pipe operation acoustic signals to capture characteristic acoustic signatures generated by leaks. A corrosion status sensor uses electrochemical impedance spectroscopy to monitor the corrosion rate of the gas pipe's outer wall, providing a basis for early warning of aging risks. Pressure, temperature, and humidity sensors allow for the separate monitoring of gas pipe pressure, ambient temperature, and humidity, simultaneously collecting gas pipe operating conditions and environmental data to accurately identify risks such as leaks, corrosion, and damage from third-party construction.
[0013] 2. This utility model uses a comprehensive AI intelligent recognition module to facilitate feature extraction from signals collected by acoustic sensors, thereby improving the accuracy of identifying leakage sound patterns. Furthermore, it comprehensively combines historical corrosion data with real-time environmental parameters to predict the corrosion trend of pipelines within a specified number of days. By integrating a knowledge graph of the gas industry, it cross-validates abnormal data to help improve the reliability of identification and promote the transformation of gas pipeline safety management from passive response to proactive prevention. Attached Figure Description
[0014] Figure 1 This is a schematic diagram of the overall structure of this utility model; Figure 2 This is a side view of the present invention. Figure 3 This is a schematic diagram of the front planar structure of the present invention; Figure 4 This is a top view of the planar structure of this utility model.
[0015] In the diagram: 1. Gas pipe body; 2. Sensing components; 21. Pressure sensor; 22. Temperature sensor; 23. Humidity sensor; 3. Monitoring components; 31. Laser methane sensor; 32. Corrosion status sensor; 33. Acoustic sensor; 4. First mounting clip; 5. Second mounting clip; 6. Fastening bolt; 7. Beidou GPS dual-mode positioning module; 8. AI intelligent recognition module; 9. Auxiliary bolt; 10. Edge computing main control board. Detailed Implementation
[0016] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0017] like Figures 1 to 4 As shown, this utility model provides a real-time monitoring and alarm device for gas pipeline leaks, including a gas pipe body 1, a sensing component 2 disposed on the gas pipe body 1, a first mounting clip 4 snapped onto the surface of the gas pipe body 1, a monitoring component 3 disposed on the first mounting clip 4, and a second mounting clip 5 snapped onto the surface of the gas pipe body 1. The second mounting clip 5 cooperates with the first mounting clip 4 to form a bidirectional fixation, which facilitates the strengthening of the connection with the gas pipe body 1. Fastening bolts 6 are threaded onto both sides of the first mounting clip 4, and a Beidou GPS dual-mode positioning module 7 is connected to the top of the first mounting clip 4. The dual-mode positioning module 7 provides high-precision location information, enabling accurate location of leak hazards and facilitating rapid response. The top of the first mounting clip 4 is connected to an AI intelligent recognition module 8, which serves as the core of data processing, facilitating intelligent analysis of monitoring data and improving hazard identification efficiency. Several auxiliary bolts 9 are threaded onto the surfaces of the first mounting clip 4 and the second mounting clip 5. The top of the gas pipe body 1 is connected to an edge computing main control board 10, which receives sensor data from the nearest source, reducing data transmission delay and improving real-time monitoring performance.
[0018] Specifically, the sensing component 2 includes a pressure sensor 21, which is located at the top of the gas pipe 1 to facilitate real-time capture of pressure changes within the gas pipe 1, providing crucial information for leak detection. A temperature sensor 22 is connected to the top of the gas pipe 1 to facilitate simultaneous monitoring of the ambient temperature around the gas pipe 1, improving the comprehensiveness of risk assessment. A humidity sensor 23 is connected to the top of the gas pipe 1 to facilitate the collection of humidity data around the gas pipe 1, providing parameters for corrosion risk assessment of the gas pipe 1.
[0019] Furthermore, the monitoring component 3 includes a laser methane sensor 31, which is located at the top of the first mounting clip 4 to facilitate the detection of PPB-level methane concentration and capture minute leaks. A corrosion status sensor 32 is connected to the top of the first mounting clip 4 to facilitate real-time monitoring of the corrosion rate of the gas pipe body 1, providing data support for early warning of aging of the gas pipe body 1 and enabling proactive prevention. An acoustic sensor 33 is connected to the top of the first mounting clip 4 to facilitate the collection of acoustic signals from the gas pipe body 1 and cross-validation with methane concentration data to further reduce the false alarm rate.
[0020] Furthermore, the pressure sensor 21, temperature sensor 22, humidity sensor 23, laser methane sensor 31, corrosion state sensor 32, and acoustic wave sensor 33 are all electrically connected to the edge computing main control board 10, which facilitates the construction of a stable data transmission link.
[0021] It is worth noting that the edge computing main control board 10 is electrically connected to the AI intelligent recognition module 8, which facilitates rapid data interaction.
[0022] It is worth noting that the surfaces of the two fastening bolts 6 are threaded to both sides of the second mounting clip 5, which helps to form a closed-loop fixing structure between the first mounting clip 4 and the second mounting clip 5, thereby enhancing the impact resistance.
[0023] It is worth mentioning that the surface of each auxiliary bolt 9 is threaded to the inside of the gas pipe body 1, which helps to further improve the stability of the installation between the first mounting clip 4 and the second mounting clip 5.
[0024] The edge computing main control board 10 is existing technology and will not be described in detail. Additionally, this utility model also includes a power supply, controller, and switches, which are not the main technical points of this patent and will not be described in detail. The "front, back, left, and right" views of this device are... Figure 1 The direction shown in the diagram is the reference.
[0025] Working principle: First, the first mounting clip 4 and the second mounting clip 5 are respectively attached to the surface of the gas pipe body 1. Then, the first mounting clip 4 and the second mounting clip 5 are installed and fixed by the fastening bolts 6, so that the first mounting clip 4 and the second mounting clip 5 form a clamping force on the surface of the gas pipe body 1. Then, multiple auxiliary bolts 9 are screwed into the gas pipe body 1 to improve the tightness of the installation between the first mounting clip 4, the second mounting clip 5 and the gas pipe body 1. After the gas pipe body 1 is installed with the first mounting clip 4 and the second mounting clip 5, the calibration, positioning information recording and cloud connection of components such as pressure sensor 21, temperature sensor 22 and laser methane sensor 31 are completed to obtain the basic ledger data of gas pipe body 1. Pressure sensor 21, temperature sensor 22, and humidity sensor 23 are installed at the top of the gas pipe 1 to monitor the pressure, temperature, and humidity of the surrounding environment, respectively. These sensors simultaneously collect data on the operating conditions and environment of the gas pipe 1. Laser methane sensor 31 and acoustic sensor 33 collect methane concentration and acoustic data according to pre-set parameters, and simultaneously upload this data to the edge computing main control board 10. The edge computing main control board 10 is electrically connected to the AI intelligent recognition module 8, which, in conjunction with the corrosion status sensor 32, identifies leakage characteristics and corrosion risks. When no hazards are detected, normal data is uploaded. When hazards are detected, detailed location information is uploaded via the Beidou-GPS dual-mode positioning module 7, and an alarm is triggered. The designated cloud platform receives the data and generates a disposal work order. The edge computing main control board 10 continuously tracks the progress of hazard disposal, updating monitoring data until the hazard is eliminated. This multi-faceted real-time monitoring of gas leaks in the gas pipe 1 facilitates timely data feedback, reduces the frequency of manual inspections, improves the efficiency of automatic gas status monitoring, and promotes the transformation of gas pipe 1 safety management from passive response to proactive prevention.
[0026] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0027] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A real-time monitoring and alarm device for gas pipeline leakage, comprising a gas pipeline body (1), characterized in that: The gas pipe body (1) is provided with a sensing component (2), the surface of the gas pipe body (1) is connected to a first mounting clip (4), the first mounting clip (4) is provided with a monitoring component (3), the surface of the gas pipe body (1) is connected to a second mounting clip (5), both sides of the first mounting clip (4) are threaded with fastening bolts (6), the top of the first mounting clip (4) is connected to a Beidou GPS dual-mode positioning module (7), the top of the first mounting clip (4) is connected to an AI intelligent recognition module (8), the surface of the first mounting clip (4) and the surface of the second mounting clip (5) are both threaded with several auxiliary bolts (9), and the top of the gas pipe body (1) is connected to an edge computing main control board (10).
2. The real-time monitoring and alarm device for gas pipeline leakage according to claim 1, characterized in that: The sensing component (2) includes a pressure sensor (21), which is located at the top of the gas pipe body (1). A temperature sensor (22) is connected to the top of the gas pipe body (1), and a humidity sensor (23) is connected to the top of the gas pipe body (1).
3. The real-time monitoring and alarm device for gas pipeline leakage according to claim 2, characterized in that: The monitoring component (3) includes a laser methane sensor (31), which is disposed at the top of the first mounting clip (4). A corrosion state sensor (32) is connected to the top of the first mounting clip (4), and an acoustic sensor (33) is connected to the top of the first mounting clip (4).
4. The real-time monitoring and alarm device for gas pipeline leakage according to claim 3, characterized in that: The pressure sensor (21), the temperature sensor (22), the humidity sensor (23), the laser methane sensor (31), the corrosion state sensor (32), and the acoustic sensor (33) are all electrically connected to the edge computing main control board (10).
5. A real-time monitoring and alarm device for gas pipeline leakage according to claim 4, characterized in that: The edge computing main control board (10) is electrically connected to the AI intelligent recognition module (8).
6. The real-time monitoring and alarm device for gas pipeline leakage according to claim 1, characterized in that: The surfaces of the two fastening bolts (6) are threaded to the two sides of the second mounting clip (5).
7. A real-time monitoring and alarm device for gas pipeline leakage according to claim 1, characterized in that: The surface of each of the auxiliary bolts (9) is threaded to the inside of the gas pipe body (1).