WO2022105340A1 - Sound wave-based pipe monitoring system, and monitoring method - Google Patents

Sound wave-based pipe monitoring system, and monitoring method Download PDF

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WO2022105340A1
WO2022105340A1 PCT/CN2021/114551 CN2021114551W WO2022105340A1 WO 2022105340 A1 WO2022105340 A1 WO 2022105340A1 CN 2021114551 W CN2021114551 W CN 2021114551W WO 2022105340 A1 WO2022105340 A1 WO 2022105340A1
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monitoring
pipeline
acoustic
sensor
acoustic wave
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PCT/CN2021/114551
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French (fr)
Chinese (zh)
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李卫东
王保民
杨豫森
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中国华能集团清洁能源技术研究院有限公司
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Publication of WO2022105340A1 publication Critical patent/WO2022105340A1/en

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00—Protection or supervision of installations
    • F17D5/02—Preventing, monitoring, or locating loss
    • F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means

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  • the invention relates to the field of fluid pipeline monitoring, in particular to a pipeline monitoring system and monitoring method based on sound waves.
  • Fluid pipelines are an important infrastructure for the survival and development of cities.
  • problems such as lack of files and inaccurate detection, accidents are often caused by pipeline digging during construction, resulting in serious economic losses and bad social impacts. Therefore, realizing accurate detection of fluid pipelines has become an urgent problem to be solved in urban development.
  • the leakage of fluid pipelines that transport fluids such as water, oil, natural gas, and heating and hot water supply has become a major factor that interferes with the safety of urban infrastructure such as water supply, gas supply, and heating supply. How to use reliable, safe and low-cost sensors and their monitoring technology has become the key to maintaining the normal operation of these urban infrastructure fluid pipelines.
  • the commonly used leak detection methods for fluid pipelines include flow method, pressure method, chemical method and stress wave method. Therefore, there are some monitoring equipment and methods that use acoustic data and principles to detect pipeline leakage at home and abroad.
  • the acoustic detection method of in-pipe listening has the advantages of high sensitivity, small error and wide detection frequency range for the detection of pipeline leakage. More suitable for leaking water supply pipes.
  • the prior art patent document CN108386728B but the current acoustic wave detection method has many problems, such as difficult installation of equipment or sensors, large detection noise interference, and expensive acoustic wave detection related equipment and monitoring systems.
  • the present invention provides a pipeline monitoring system and monitoring method based on sound waves.
  • the sound wave sensor is arranged in the pipeline system, and the sound wave signals of the set parts in the pipeline system are collected in real time.
  • the signal judges and predicts the operation status of the pipeline system and its equipment, effectively reducing the cost of pipeline monitoring.
  • the technical solution adopted in the present invention is: a pipeline monitoring system based on sound waves, including an acoustic signal acquisition module, a signal transmission module, an acoustic wave monitoring and analysis platform and a data storage module; the acoustic signal acquisition module is used for real-time acquisition of pipelines The sound wave signal of the monitoring object in the system is transmitted to the sound wave monitoring and analysis platform;
  • the acoustic wave monitoring and analysis platform converts, reduces noise, and stores the electrical signals, and at the same time analyzes the noise-reduced signals to obtain the operation status of the monitored objects in the pipeline system;
  • the data storage module is used to store the electrical signals obtained by the acoustic wave monitoring and analysis platform. Signals and the results processed by the acoustic monitoring and analysis platform;
  • the acoustic signal acquisition module adopts acoustic wave sensors.
  • the monitoring objects in the pipeline system include fluid pipes, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters; acoustic wave sensors are used to monitor valves, Leakage, vibration and working conditions of any fluid equipment such as pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters.
  • the acoustic wave signal monitored by the acoustic wave sensor is converted into an electrical signal by the acoustic-electric converter, and then amplified and transmitted to the acoustic wave monitoring platform for analysis by the signal amplifier.
  • Acoustic sensors include any one or a combination of hearing devices, pickups, micro-displacement electrical signal sound sensors, surface acoustic wave sensors, dynamic pressure sensors, acoustic frequency sensors, acoustic pressure sensors, acoustic intensity sensors, and acoustic power sensors.
  • the surface acoustic wave sensor includes any one or a combination of a Rayleigh wave sensor, an optical fiber sensor, a tangential horizontal plate mode sensor, a love wave sensor or a lamb wave sensor.
  • Fluid pipelines, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters are equipped with acoustic wave sensors during the manufacturing process or in existing piping systems.
  • the acoustic wave sensor has an ID code, the ID code corresponds to the information code of the location of the acoustic wave sensor, and the ID code also corresponds to the code of the current acoustic wave sensor monitoring object one-to-one.
  • the acoustic-electrical signal conversion module is set in the acoustic wave monitoring and analysis platform to convert the acoustic wave signal directly obtained by the acoustic signal acquisition module into an electric signal.
  • the monitored pipeline system includes water pipeline system, natural gas pipeline system, directly buried thermal insulation heating pipeline system or oil pipeline system.
  • a pipeline system monitoring method based on a sound wave monitoring system comprising the following steps:
  • S2 perform geographic information coding on each fluid device equipped with a sound wave sensor in the pipeline system, that is, GIS coding, including the installation location and device number of each device, that is, obtain its address coordinate value in the geographic information system;
  • S3 Install wired or wireless signal transmission lines and networks, and transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through the signal transmission lines and networks;
  • S5 Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring of leakage, faults and operational status monitoring of the pipe network.
  • the pipe network simulation model includes a pipe network geographic information module, a pipe network hydraulic calculation simulation module, a pipe network Internet of Things and a sensor module, a pipe network sound wave monitoring module, a pipe network data analysis module, a pipe network intelligent analysis module, and a pipe network visualization display. module.
  • the present invention at least has the following beneficial effects:
  • the acoustic wave sensor is directly installed in the structure of the fluid equipment, which can realize real-time and low-cost online monitoring of these fluid equipment;
  • the sound wave sensor not only realizes the monitoring of pipeline and equipment leakage, but also realizes the real-time monitoring of equipment start-stop, failure, leakage and other states by comparing and analyzing the sound waves and three-dimensional images under different equipment operating states;
  • the real-time monitoring data of the acoustic wave sensor is transmitted to the acoustic wave monitoring and analysis platform for storage, which can accumulate a large amount of pipeline system operation data, which can be used to analyze the operation status of the pipeline system and manage optimization.
  • FIG. 1 is a schematic diagram of a specific embodiment 1 provided by the present invention.
  • FIG. 2 is a schematic diagram of a specific embodiment 2 provided by the present invention.
  • the present invention provides a pipeline monitoring system based on acoustic waves, including an acoustic signal acquisition module, a signal transmission module, an acoustic wave monitoring and analysis platform, and a data storage module; the acoustic signal acquisition module is used for real-time acquisition in the pipeline system The sound wave signal of the monitoring object is transmitted to the sound wave monitoring and analysis platform;
  • the acoustic wave monitoring and analysis platform converts, reduces noise, and stores the electrical signals, and at the same time analyzes the noise-reduced signals to obtain the operation status of the monitored objects in the pipeline system;
  • the data storage module is used to store the electrical signals obtained by the acoustic wave monitoring and analysis platform. Signals and the results processed by the acoustic monitoring and analysis platform;
  • the acoustic signal acquisition module adopts acoustic wave sensors.
  • the monitoring objects in the pipeline system include fluid pipes, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters; acoustic wave sensors are used to monitor valves, Leakage, vibration and working conditions of any fluid equipment such as pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters.
  • a signal transmission module may also be set between the acoustic signal acquisition module and the acoustic wave monitoring and analysis platform, and the signal transmission module is used to transmit the electrical signal to the acoustic wave monitoring and analysis platform.
  • FIG. 1 is a schematic diagram of the specific embodiment provided by the present invention
  • a fluid pipeline monitoring system with sound wave monitoring includes: Fluid pipes with sonic sensors, valves with sonic sensors, pumps with sonic sensors, elbows, tees or expanders and flanges with sonic sensors, flow meters with sonic sensors, heat exchangers with sonic sensors or Filters and other fluid equipment; also include sonic signal transmission cables or networks, and sonic monitoring and analysis platforms; the sonic sensor transmits sonic signals from fluid pipeline equipment such as pipes, valves, pumps, flow meters, and heat exchangers through the sonic signal transmission line Cable or network, transmit to the acoustic wave data analysis platform and acoustic wave monitoring system platform, use big data or artificial intelligence technology to analyze the acoustic wave signal of the fluid equipment, monitor the leakage of the fluid pipeline, the operation status of the fluid equipment, the fault
  • Example 1 As an optional implementation of Example 1 and Example 2:
  • the acoustic wave sensor includes any one of a hearing device, a pickup, a small displacement electrical signal sound sensor, a surface acoustic wave sensor, a dynamic pressure sensor, an acoustic wave frequency sensor, an acoustic wave sound pressure sensor, an acoustic wave sound intensity sensor, and an acoustic wave sound power sensor. combination.
  • the surface acoustic wave sensor includes any one or a combination of a Rayleigh wave sensor, an optical fiber sensor, a tangential horizontal plate mode sensor, a love wave sensor or a lamb wave sensor.
  • the acoustic wave sensor is installed on the fluid equipment of the existing fluid pipeline, and the fluid equipment of the existing fluid pipeline includes any of the fluid equipment such as a fluid pipeline, a valve, a pump, a flow meter, a heat exchanger or a filter. one or a combination.
  • the acoustic wave sensor is directly in any one or combination of the fluid equipment such as the fluid pipeline, valve, pump, flowmeter, heat exchanger or filter during the design and manufacture of the new fluid equipment. Install the sonic sensor.
  • the acoustic wave sensor is provided with an ID code, and the ID code corresponds to the geographic information code of the geographic location where the acoustic wave sensor is located.
  • the acoustic wave sensor installed in the pipeline is used for monitoring pipeline leakage, vibration and other related signal information detected by acoustic waves.
  • the acoustic wave sensor installed in the fluid equipment is used to monitor the leakage, vibration and working state of any fluid equipment such as valves, pumps, elbows, tees, expanders, flanges, flow meters, and heat exchangers.
  • the present invention uses big data and artificial intelligence technology to analyze the corresponding relationship between the historical data and the faults and working states of pipelines and fluid equipment, and uses artificial intelligence machine learning. Function, correlate weather forecast, urban earthquake, urban traffic, urban infrastructure construction and other related data, help to increase the safety of the overall pipeline system.
  • a pipeline system monitoring method based on a sound wave monitoring system the details are as follows:
  • S1 According to the type of fluid pipeline, it can be a tap water pipeline, install an acoustic wave sensor at the set position of the tap water pipeline, add an acoustic wave sensor to the existing pipes, valves, pumps and flowmeters, or directly connect the valve or pump equipment to replace the original equipment;
  • GIS code includes the installation location and equipment number of each equipment
  • GIS code includes the installation location and equipment number of each equipment
  • S3 transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through wired or wireless signal transmission lines and networks;
  • S5 Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring the leakage, fault and running status of the pipeline network;
  • the acoustic monitoring and analysis platform is based on the historical acoustic signal data pipeline and the corresponding relationship between the failure and working status of fluid equipment, combined with weather forecast , urban earthquake, urban traffic, urban infrastructure construction and other related data to predict the operation status of the pipeline system. Analyze the corresponding relationship between the historical data and the failure and working status of pipelines and fluid equipment, and use the machine learning function of artificial intelligence to correlate weather forecast, urban earthquake, urban traffic, urban infrastructure construction and other related data, which will help increase the overall Safety of piping systems.
  • the pipeline network simulation model includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network IoT and sensor module, a pipeline network sound wave monitoring module, a pipeline network big data analysis module, a pipeline network artificial intelligence analysis module, and a pipeline network.
  • Visual display module includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network IoT and sensor module, a pipeline network sound wave monitoring module, a pipeline network big data analysis module, a pipeline network artificial intelligence analysis module, and a pipeline network.
  • a pipeline network geographic information module includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network IoT and sensor module, a pipeline network sound wave monitoring module, a pipeline network big data analysis module, a pipeline network artificial intelligence analysis module, and a pipeline network.
  • Visual display module includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network IoT and sensor module, a pipeline network sound wave monitoring module, a pipeline network big data
  • the pipeline of the present invention is not limited to be used in water pipelines, but can also be used in natural gas pipelines, directly buried thermal insulation heating pipelines and oil pipelines.
  • a pipeline system monitoring method based on a sound wave monitoring system comprising the following steps:
  • the pipeline system is a natural gas pipeline, a directly buried thermal insulation heating pipeline and/or an oil pipeline.
  • the acoustic wave sensor is preset at the position where the existing valve, pump, flow meter and other fluid equipment are installed. Add a sound wave sensor, or directly replace the original equipment with a valve or pump device with a sound wave sensor;
  • S2 perform geographic information coding on each fluid device equipped with a sound wave sensor in the pipeline system, that is, GIS coding, including the installation location and device number of each device, that is, obtain its address coordinate value in the geographic information system;
  • S3 Install wired or wireless signal transmission lines and networks, and transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through the signal transmission lines and networks;
  • S5 Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring of leakage, faults and operational status monitoring of the pipe network.
  • the data collected by the acoustic wave monitoring and analysis platform and other sensors is stored, and the corresponding relationship between the historical data and the faults and working states of the pipeline and fluid equipment is analyzed, At the same time, the historical data of the pipeline running state is associated with the data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information.
  • the pipeline network simulation model includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network Internet of Things and a sensor module, a pipeline network acoustic wave monitoring module, a pipeline network Network data analysis module block and pipeline network visualization display module;
  • the pipeline network geographic information module constructs the geographic information based on the overall pipeline network, the geographic information includes the geographic information of the pipeline system itself and the geographic information of the acoustic sensor;
  • the simulation module calculates the real-time distribution and change trend of the pressure in the pipe network based on simulation;
  • the pipe network Internet of Things and sensor modules are used to collect real-time operating status information in the pipe network;
  • the pipe network acoustic monitoring module monitors the equipment in the pipe network system based on the acoustic wave sensor and The running status of the pipeline;
  • the pipeline network data analysis module obtains the real-time monitoring data of the pipeline network and compares the real-time monitoring data of
  • the pipeline network simulation model includes a pipeline network geographic information module, a pipeline network pressure calculation simulation module, a pipeline network IoT and sensor module, a pipeline network acoustic wave monitoring module, a pipeline network Network data analysis module, pipeline network intelligent analysis module and pipeline network visualization display module;
  • the pipeline network geographic information module constructs the geographic information based on the overall pipeline network, and the geographic information includes the geographic information of the pipeline system itself and the geographic information of the acoustic wave sensor ;
  • the pipe network pressure calculation simulation module calculates the real-time distribution and change trend of the pressure in the pipe network based on the simulation;
  • the pipe network Internet of Things and sensor modules are used to collect the running status information in the pipe network in real time;
  • the pipe network acoustic wave monitoring module monitors the pipe network based on the acoustic wave sensor.
  • the pipeline network data analysis module obtains the real-time monitoring data of the pipeline network and compares the real-time monitoring data of the pipeline network with the historical data to analyze whether the operation of the pipeline network system is normal; intelligent analysis of the pipeline network The module associates historical data with data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information, and optimizes the operation of the pipe network based on the information associated with the data;
  • the pipe network visualization display module associates the operation status of the pipe network system with the urban traffic and Visual display of urban infrastructure construction information; correlate the operation status of all urban pipe network systems and their historical data with data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information, and analyze the impact of external environmental changes on the operation of the enterprise It is based on the specific characteristics of the pipeline monitoring system based on the acoustic wave sensor, and in the data analysis, all noises related to the external environment are removed, so as to analyze the operation status of the pipeline more accurately, which can greatly reduce the misjudgment rate.
  • the acoustic wave sensor continuously acquires the pipelines, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters in the pipeline system in real time.
  • the sound pressure, sound intensity and/or frequency monitored by the acoustic wave sensor changes accordingly, and the sound pressure, sound intensity and frequency are analyzed and compared with the normal operating state
  • the sound pressure, sound intensity and frequency are compared and analyzed to determine whether the operating state is normal;
  • the external environment around the device first filters out external noise.
  • the invention uses big data or artificial intelligence to analyze the sound wave signals collected by the acoustic wave sensor in the urban pipeline system in different time intervals, uses the big data to compare and analyze the sound waves and three-dimensional images under different operating states of the equipment, and uses the self-learning function of artificial intelligence, Realize the noise elimination of acoustic signals and artificial intelligence monitoring of pipeline and equipment leakage, safety and operation status, and at the same time correlate the operation information of the urban pipeline network with the weather forecast, urban earthquake, urban traffic and urban infrastructure construction information, in order to optimize The urban pipeline network and infrastructure construction provide effective reference and help to improve the level of urban management and operation.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Pipeline Systems (AREA)

Abstract

A sound wave-based pipe monitoring system, and a monitoring method. The monitoring system comprises a sound signal acquisition module, a signal transmission module, a sound wave monitoring and analysis platform, and a data storage module; the sound signal acquisition module is configured to acquire a sound wave signal of a monitoring object in a pipe system in real time; the signal transmission module is configured to transmit an electric signal to the sound wave monitoring and analysis platform; the sound wave monitoring and analysis platform is configured to perform conversion, noise reduction, and storage on the electric signal, and analyze the signal subjected to the noise reduction to obtain an operating condition of the monitoring object in the pipe system; the data storage module is configured to store the electric signal obtained by the sound wave monitoring and analysis platform and the result of processing by the sound wave monitoring and analysis platform. According to the monitoring system, leakage online monitoring for a pipe network and fluid devices can be implemented in real time and continuously by means of cheap sound wave sensors, and states of the devices such as start, stop, and breakdown can be detected in real time.

Description

一种基于声波的管道监测系统及监测方法A kind of pipeline monitoring system and monitoring method based on sound wave 技术领域technical field
本发明涉及流体管道监控领域，特别涉及一种基于声波的管道监测系统及监测方法。The invention relates to the field of fluid pipeline monitoring, in particular to a pipeline monitoring system and monitoring method based on sound waves.
背景技术Background technique
流体管线是城市赖以生存和发展的重要基础设施，但是由于档案缺失和探测不准确等问题，经常在施工中因挖断管线而引起事故，造成严重的经济损失和恶劣的社会影响。因此，实现流体管道的准确探测已成为城市发展中亟待解决的问题。特别是输运流体例如水、油、天然气、供热热水的流体管道的泄漏问题，成为干扰城市基础设施如供水、供气、供热安全的主要因素。如何用可靠、安全、低成本的传感器及其监测技术，成为维持这些城市基础设施流体管道正常运行的关键。Fluid pipelines are an important infrastructure for the survival and development of cities. However, due to problems such as lack of files and inaccurate detection, accidents are often caused by pipeline digging during construction, resulting in serious economic losses and bad social impacts. Therefore, realizing accurate detection of fluid pipelines has become an urgent problem to be solved in urban development. In particular, the leakage of fluid pipelines that transport fluids such as water, oil, natural gas, and heating and hot water supply has become a major factor that interferes with the safety of urban infrastructure such as water supply, gas supply, and heating supply. How to use reliable, safe and low-cost sensors and their monitoring technology has become the key to maintaining the normal operation of these urban infrastructure fluid pipelines.
目前，流体管道常用的泄漏检测方法有流量法、压力法、化学法和应力波法等,这些方法应用起来比较复杂,在确定管道泄漏时误差比较大。因此，国内外都出现了一些采用声学数据和原理来检测管道的泄漏的监测设备和方法，管内听音的声学检测方法对管道泄漏的检测具有灵敏度高、误差小和检测频率范围广等优点,更加适合供水管道泄漏的情况。现有技术专利文献CN108386728B，但目前的声波检测方法存在着设备或传感器安装困难，检测噪音干扰大，声波检测相关设备和监测系统价格昂贵等诸多问题。At present, the commonly used leak detection methods for fluid pipelines include flow method, pressure method, chemical method and stress wave method. Therefore, there are some monitoring equipment and methods that use acoustic data and principles to detect pipeline leakage at home and abroad. The acoustic detection method of in-pipe listening has the advantages of high sensitivity, small error and wide detection frequency range for the detection of pipeline leakage. More suitable for leaking water supply pipes. The prior art patent document CN108386728B, but the current acoustic wave detection method has many problems, such as difficult installation of equipment or sensors, large detection noise interference, and expensive acoustic wave detection related equipment and monitoring systems.
发明内容SUMMARY OF THE INVENTION
为了解决现有技术中存在的问题，本发明提供一种基于声波的管道监测系统及监测方法，将声波传感器布设在管道系统中，实时收集管道系统中设定部位的声波信号，依据所述声波信号对管道系统及其设备的运行状态进行判断和预测，有效降低管道监测的成本。In order to solve the problems existing in the prior art, the present invention provides a pipeline monitoring system and monitoring method based on sound waves. The sound wave sensor is arranged in the pipeline system, and the sound wave signals of the set parts in the pipeline system are collected in real time. The signal judges and predicts the operation status of the pipeline system and its equipment, effectively reducing the cost of pipeline monitoring.
为了实现上述目的，本发明采用的技术方案是：一种基于声波的管道监测系统，包括声信号获取模块、信号传输模块、声波监控分析平台以及数据存储模块；声信号获取模块用于实时获取管道系统中监测对象的声波信号并传送至声波监控分析平台；In order to achieve the above purpose, the technical solution adopted in the present invention is: a pipeline monitoring system based on sound waves, including an acoustic signal acquisition module, a signal transmission module, an acoustic wave monitoring and analysis platform and a data storage module; the acoustic signal acquisition module is used for real-time acquisition of pipelines The sound wave signal of the monitoring object in the system is transmitted to the sound wave monitoring and analysis platform;
声波监控分析平台对所述电信号进行转换、降噪并存储，同时对降噪后的信号进行分析，获取管道系统中监测对象的运行情况；数据存储模块用于存储声波监控分析平台获取的电信号以及经过声波监控分析平台处理的结果；The acoustic wave monitoring and analysis platform converts, reduces noise, and stores the electrical signals, and at the same time analyzes the noise-reduced signals to obtain the operation status of the monitored objects in the pipeline system; the data storage module is used to store the electrical signals obtained by the acoustic wave monitoring and analysis platform. Signals and the results processed by the acoustic monitoring and analysis platform;
声信号获取模块采用声波传感器，管道系统中监测对象包括流体管道、阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器；声波传感器用于监测阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器任意一种流体设备的泄漏、振动以及工作状态。The acoustic signal acquisition module adopts acoustic wave sensors. The monitoring objects in the pipeline system include fluid pipes, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters; acoustic wave sensors are used to monitor valves, Leakage, vibration and working conditions of any fluid equipment such as pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters.
声波传感器监测的声波信号经过声电转换器转换为电信号之后在经过信号放大器进行放大传输至声波监控平台进行分析。The acoustic wave signal monitored by the acoustic wave sensor is converted into an electrical signal by the acoustic-electric converter, and then amplified and transmitted to the acoustic wave monitoring platform for analysis by the signal amplifier.
声波传感器包括听音器、拾音器、微小位移电信号声音传感器、表面声波传感器、动态压力传感器、声波频率传感器、声波声压传感器、声波声强传感器、声波声功率传感器中的任意一种或组合。Acoustic sensors include any one or a combination of hearing devices, pickups, micro-displacement electrical signal sound sensors, surface acoustic wave sensors, dynamic pressure sensors, acoustic frequency sensors, acoustic pressure sensors, acoustic intensity sensors, and acoustic power sensors.
所述表面声波传感器包括瑞利波传感器、光纤传感器、切向水平板模传感器、兰姆(love)波传感器或乐甫(lamb)波传感器中的任意一种或组合。The surface acoustic wave sensor includes any one or a combination of a Rayleigh wave sensor, an optical fiber sensor, a tangential horizontal plate mode sensor, a love wave sensor or a lamb wave sensor.
，流体管道、阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器在制造过程中加装声波传感器或在现有管道系统中加装声波传感器。, Fluid pipelines, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters are equipped with acoustic wave sensors during the manufacturing process or in existing piping systems.
声波传感器带有ID编码，所述ID编码与所述声波传感器所在位置的信息编码对应，所述ID编码中还与当前声波传感器监测对象的编码一一对应。The acoustic wave sensor has an ID code, the ID code corresponds to the information code of the location of the acoustic wave sensor, and the ID code also corresponds to the code of the current acoustic wave sensor monitoring object one-to-one.
声波监控分析平台中设置声电信号转换模块用于将声信号获取模块直接获取的声波信号转换为电信号。The acoustic-electrical signal conversion module is set in the acoustic wave monitoring and analysis platform to convert the acoustic wave signal directly obtained by the acoustic signal acquisition module into an electric signal.
监测的管道系统包括自来水管线系统、天然气管线系统、直埋保温供热管线系统或输油管线系统。The monitored pipeline system includes water pipeline system, natural gas pipeline system, directly buried thermal insulation heating pipeline system or oil pipeline system.
一种基于声波监测系统的管道系统监测方法，包括以下步骤：A pipeline system monitoring method based on a sound wave monitoring system, comprising the following steps:
S1：根据流体管道系统的类型，在预设安装声波传感器的位置，在现有阀门、泵、流量计等流体设备上加装声波传感器，或直接将带有声波传感器的阀门或泵设备替换原有的设备；S1: According to the type of the fluid piping system, install the acoustic sensor on the existing valve, pump, flowmeter and other fluid equipment at the preset location where the acoustic sensor is installed, or directly replace the valve or pump with the acoustic sensor. some equipment;
S2：对所述管道系统的每个装有声波传感器的流体设备进行地理信息编码，即GIS编码，包括每个设备的安装位置及设备编号，即获得其在地理信息系统中的地址坐标值；S2: perform geographic information coding on each fluid device equipped with a sound wave sensor in the pipeline system, that is, GIS coding, including the installation location and device number of each device, that is, obtain its address coordinate value in the geographic information system;
S3：安装有线或无线的信号传输线路及网络，通过信号传输线路及网络将所述声波传感器所收集的信号传输至声波监控分析平台；S3: Install wired or wireless signal transmission lines and networks, and transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through the signal transmission lines and networks;
S4：将带有地理信息编码的每个声波传感器收集的声波信号经过去噪音处理后，在所述声波监控分析平台进行状态分析；S4: After the sound wave signal collected by each sound wave sensor with geographic information coding is subjected to denoising processing, state analysis is performed on the sound wave monitoring and analysis platform;
S5：将声波监控分析平台的分析结果输出至带有地理信息数据的管线或管网的计算机仿真模型中，以管网仿真图形式，可视化地显示声波监控结果，进而用来分析、报警和实时监测管网的泄漏、故障和运行状态监控。S5: Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring of leakage, faults and operational status monitoring of the pipe network.
对声波监控分析平台及其他传感器收集的数据进行存储，分析所述历史数据与管道及流体设备的故障及工作状态的对应关系，同时将表征的管道运行状态的历史数据关联天气预报、城市地震、城市交通以及城市基础设施建设信息的数据。Store the data collected by the acoustic wave monitoring and analysis platform and other sensors, analyze the corresponding relationship between the historical data and the failure and working status of the pipeline and fluid equipment, and associate the historical data representing the running status of the pipeline with weather forecasts, urban earthquakes, Data on urban traffic and urban infrastructure construction information.
所述管网仿真模型包括管网地理信息模块、管网水力计算仿真模块、管网物联网及传感器模块、管网声波监控模块、管网数据分析模块、管网智能分析模块以及管网可视化显示模块。The pipe network simulation model includes a pipe network geographic information module, a pipe network hydraulic calculation simulation module, a pipe network Internet of Things and a sensor module, a pipe network sound wave monitoring module, a pipe network data analysis module, a pipe network intelligent analysis module, and a pipe network visualization display. module.
与现有技术相比，本发明至少具有以下有益效果：Compared with the prior art, the present invention at least has the following beneficial effects:
1)通过相对便宜的声波传感器，实现实时的连续的管网及流体设备的泄漏在线监测，不但成本低，而且故障率低而检出率高，定位可以精确到0.5米；1) Real-time continuous online leakage monitoring of pipeline network and fluid equipment is realized through relatively cheap acoustic wave sensors, which not only has low cost, but also has low failure rate and high detection rate, and the positioning can be accurate to 0.5 meters;
2)根据阀门、泵、流量计等流体设备的自身结构特点，直接在流体设备的结构中加装声波传感器，能实现对这些流体设备的实时、低价的在线监测；2) According to the structural characteristics of fluid equipment such as valves, pumps, flow meters, etc., the acoustic wave sensor is directly installed in the structure of the fluid equipment, which can realize real-time and low-cost online monitoring of these fluid equipment;
3)声波传感器不但实现管道及设备泄漏的监测，而且通过对比分析不同设备运行状态下的声波及三维图像，可实现对设备的启停、故障、泄漏等状态的实时监控；3) The sound wave sensor not only realizes the monitoring of pipeline and equipment leakage, but also realizes the real-time monitoring of equipment start-stop, failure, leakage and other states by comparing and analyzing the sound waves and three-dimensional images under different equipment operating states;
4)将声波传感器的实时监测数据传输至声波监控分析平台进行存储能积累大量的管道系统运行数据，能用于对管道系统的运行状态进行分析以及管理优化。4) The real-time monitoring data of the acoustic wave sensor is transmitted to the acoustic wave monitoring and analysis platform for storage, which can accumulate a large amount of pipeline system operation data, which can be used to analyze the operation status of the pipeline system and manage optimization.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据提供的附图获得其他的附图。In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the provided drawings without creative work.
图1为本发明所提供的具体实施例一的示意图。FIG. 1 is a schematic diagram of a specific embodiment 1 provided by the present invention.
图2为本发明所提供的具体实施例二的示意图。FIG. 2 is a schematic diagram of a specific embodiment 2 provided by the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
实施例1：Example 1:
请参考图1至图2，本发明提供一种基于声波的管道监测系统，包括声信号获取模块、信号传输模块、声波监控分析平台以及数据存储模块；声信号获取模块用于实时获取管道系统中监测对象的声波信号，并传送至声波监控分析平台；Please refer to FIG. 1 to FIG. 2 , the present invention provides a pipeline monitoring system based on acoustic waves, including an acoustic signal acquisition module, a signal transmission module, an acoustic wave monitoring and analysis platform, and a data storage module; the acoustic signal acquisition module is used for real-time acquisition in the pipeline system The sound wave signal of the monitoring object is transmitted to the sound wave monitoring and analysis platform;
声波监控分析平台对所述电信号进行转换、降噪并存储，同时对降噪后的信号进行分析，获取管道系统中监测对象的运行情况；数据存储模块用于存储声波监控分析平台获取的电信号以及经过声波监控分析平台处理的结果；The acoustic wave monitoring and analysis platform converts, reduces noise, and stores the electrical signals, and at the same time analyzes the noise-reduced signals to obtain the operation status of the monitored objects in the pipeline system; the data storage module is used to store the electrical signals obtained by the acoustic wave monitoring and analysis platform. Signals and the results processed by the acoustic monitoring and analysis platform;
声信号获取模块采用声波传感器，管道系统中监测对象包括流体管道、阀门、泵、弯头、三通、膨 胀器、法兰、流量计、换热器以及过滤器；声波传感器用于监测阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器任意一种流体设备的泄漏、振动以及工作状态。The acoustic signal acquisition module adopts acoustic wave sensors. The monitoring objects in the pipeline system include fluid pipes, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters; acoustic wave sensors are used to monitor valves, Leakage, vibration and working conditions of any fluid equipment such as pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters.
作为可选的，声信号获取模块和声波监控分析平台之间还可以设置信号传输模块，信号传输模块用于将电信号传输至声波监控分析平台。As an option, a signal transmission module may also be set between the acoustic signal acquisition module and the acoustic wave monitoring and analysis platform, and the signal transmission module is used to transmit the electrical signal to the acoustic wave monitoring and analysis platform.
实施例2：Example 2:
本发明提供一种带声波监控的管道液体输运系统，请参考图1至图2，图1为本发明所提供的具体实施例一的示意图；一种带声波监控的流体管道监控系统，包括带声波传感器的流体管道、带声波传感器的阀门、带声波传感器的泵、带声波传感器的弯头、三通或膨胀器及法兰、带声波传感器的流量计、带声波传感器的换热器或过滤器等流体设备；还包括声波信号传输线缆或网络、声波监控分析平台；所述声波传感器将管道、阀门、泵、流量计、换热器等流体管道设备的声波信号经过声波信号传输线缆或网络，传输至声波数据分析平台及声波监测系统平台，利用大数据或人工智能技术，分析所述流体设备的声波信号，监测流体管道的泄漏、流体设备运行状态、故障等状态信息。The present invention provides a pipeline liquid transportation system with sound wave monitoring. Please refer to FIG. 1 to FIG. 2 . FIG. 1 is a schematic diagram of the specific embodiment provided by the present invention; a fluid pipeline monitoring system with sound wave monitoring includes: Fluid pipes with sonic sensors, valves with sonic sensors, pumps with sonic sensors, elbows, tees or expanders and flanges with sonic sensors, flow meters with sonic sensors, heat exchangers with sonic sensors or Filters and other fluid equipment; also include sonic signal transmission cables or networks, and sonic monitoring and analysis platforms; the sonic sensor transmits sonic signals from fluid pipeline equipment such as pipes, valves, pumps, flow meters, and heat exchangers through the sonic signal transmission line Cable or network, transmit to the acoustic wave data analysis platform and acoustic wave monitoring system platform, use big data or artificial intelligence technology to analyze the acoustic wave signal of the fluid equipment, monitor the leakage of the fluid pipeline, the operation status of the fluid equipment, the fault and other status information.
作为实施例1和实施例2可选的实施方式：As an optional implementation of Example 1 and Example 2:
所述声波传感器包括听音器、拾音器、微小位移电信号声音传感器、表面声波传感器、动态压力传感器、声波频率传感器、声波声压传感器、声波声强传感器、声波声功率传感器中的任意一种或组合。The acoustic wave sensor includes any one of a hearing device, a pickup, a small displacement electrical signal sound sensor, a surface acoustic wave sensor, a dynamic pressure sensor, an acoustic wave frequency sensor, an acoustic wave sound pressure sensor, an acoustic wave sound intensity sensor, and an acoustic wave sound power sensor. combination.
所述表面声波传感器包括瑞利波传感器、光纤传感器、切向水平板模传感器、兰姆(love)波传感器或乐甫(lamb)波传感器中的任意一种或组合。The surface acoustic wave sensor includes any one or a combination of a Rayleigh wave sensor, an optical fiber sensor, a tangential horizontal plate mode sensor, a love wave sensor or a lamb wave sensor.
所述声波传感器加装在现有的流体管道的流体设备上，所述现有的流体管道的流体设备包括流体管道、阀门、泵、流量计、换热器或过滤器等流体设备中的任意一种或组合。The acoustic wave sensor is installed on the fluid equipment of the existing fluid pipeline, and the fluid equipment of the existing fluid pipeline includes any of the fluid equipment such as a fluid pipeline, a valve, a pump, a flow meter, a heat exchanger or a filter. one or a combination.
所述声波传感器根据流体设备结构，在新的流体设备设计和制造过程中，直接在所述流体管道、阀门、泵、流量计、换热器或过滤器等流体设备的任意一种或组合中安装声波传感器。According to the structure of the fluid equipment, the acoustic wave sensor is directly in any one or combination of the fluid equipment such as the fluid pipeline, valve, pump, flowmeter, heat exchanger or filter during the design and manufacture of the new fluid equipment. Install the sonic sensor.
所述声波传感器带有ID编码，所述ID编码与所述声波传感器所在地理位置的地理信息编码对应。The acoustic wave sensor is provided with an ID code, and the ID code corresponds to the geographic information code of the geographic location where the acoustic wave sensor is located.
所述管道安装的声波传感器用于监测管道泄漏、振动及其他声波探测出的相关信号信息。The acoustic wave sensor installed in the pipeline is used for monitoring pipeline leakage, vibration and other related signal information detected by acoustic waves.
所述流体设备安装的声波传感器用于监测阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器等任意一种流体设备的泄漏、振动、工作状态。The acoustic wave sensor installed in the fluid equipment is used to monitor the leakage, vibration and working state of any fluid equipment such as valves, pumps, elbows, tees, expanders, flanges, flow meters, and heat exchangers.
随着声波监控分析平台及其他传感器收集的数据的增加，本发明利用大数据和人工智能技术，分析所述历史数据与管道及流体设备的故障及工作状态的对应关系，利用人工智能的机器学习功能，关联天气预报、城市地震、城市交通、城市基础设施建设等相关数据，有助于增加整体管道系统的安全性。With the increase of data collected by the acoustic wave monitoring and analysis platform and other sensors, the present invention uses big data and artificial intelligence technology to analyze the corresponding relationship between the historical data and the faults and working states of pipelines and fluid equipment, and uses artificial intelligence machine learning. Function, correlate weather forecast, urban earthquake, urban traffic, urban infrastructure construction and other related data, help to increase the safety of the overall pipeline system.
实施例3：Example 3:
一种基于声波监测系统的管道系统监测方法，具体如下：A pipeline system monitoring method based on a sound wave monitoring system, the details are as follows:
S1：根据流体管道的类型，可以是自来水管线，在自来水管线设定的位置的安装声波传感器，在现有管道、阀门、泵以及流量计上加装声波传感器，或直接将带有声波传感器的阀门或泵设备替换原有的设备；S1: According to the type of fluid pipeline, it can be a tap water pipeline, install an acoustic wave sensor at the set position of the tap water pipeline, add an acoustic wave sensor to the existing pipes, valves, pumps and flowmeters, or directly connect the valve or pump equipment to replace the original equipment;
S2：对流体管道中每个装有声波传感器的流体设备进行地理信息编码(GIS编码，GIS编码包括每个设备的安装位置及设备编号)，即获得每一个流体设备在地理信息系统中的地址坐标值，一般为经纬度坐标值；S2: Perform geographic information coding (GIS code, GIS code includes the installation location and equipment number of each equipment) for each fluid equipment equipped with acoustic wave sensors in the fluid pipeline, that is, obtain the address of each fluid equipment in the geographic information system Coordinate value, usually latitude and longitude coordinate value;
S3：通过有线或无线的信号传输线路及网络，将所述声波传感器所收集的信号传输至声波监控分析平台；S3: transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through wired or wireless signal transmission lines and networks;
S4：将带有地理信息编码的每个声波传感器收集的声波信号经过去噪音处理后，在所述声波监控分析平台进行状态分析；S4: After the sound wave signal collected by each sound wave sensor with geographic information coding is subjected to denoising processing, state analysis is performed on the sound wave monitoring and analysis platform;
S5：将声波监控分析平台的分析结果输出至带有地理信息数据的管线或管网的计算机仿真模型中，以管网仿真图形式，可视化地显示声波监控结果，进而用来分析、报警和实时监测管网的泄漏、故障和运行状态监控；S5: Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring the leakage, fault and running status of the pipeline network;
S6：随着声波监控分析平台及其他传感器收集的数据的增加，利用大数据和人工智能技术，声波监控分析平台基于历史声波信号数据管道及流体设备的故障及工作状态的对应关系，结合天气预报、城 市地震、城市交通、城市基础设施建设等相关数据，对管道系统的运行状态进行预测。分析所述历史数据与管道及流体设备的故障及工作状态的对应关系，利用人工智能的机器学习功能，关联天气预报、城市地震、城市交通、城市基础设施建设等相关数据，有助于增加整体管道系统的安全性。S6: With the increase of data collected by the acoustic monitoring and analysis platform and other sensors, using big data and artificial intelligence technology, the acoustic monitoring and analysis platform is based on the historical acoustic signal data pipeline and the corresponding relationship between the failure and working status of fluid equipment, combined with weather forecast , urban earthquake, urban traffic, urban infrastructure construction and other related data to predict the operation status of the pipeline system. Analyze the corresponding relationship between the historical data and the failure and working status of pipelines and fluid equipment, and use the machine learning function of artificial intelligence to correlate weather forecast, urban earthquake, urban traffic, urban infrastructure construction and other related data, which will help increase the overall Safety of piping systems.
所述管网仿真模型包括管网地理信息模块、管网水力计算仿真模块、管网物联网及传感器模块、管网声波监控模块、管网大数据分析模块、管网人工智能分析模块、管网可视化显示模块。The pipeline network simulation model includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network IoT and sensor module, a pipeline network sound wave monitoring module, a pipeline network big data analysis module, a pipeline network artificial intelligence analysis module, and a pipeline network. Visual display module.
本发明所述管线不仅仅局限于应用在自来水管线中，还可以用于天然气管线、直埋保温供热管线以及输油管线中。The pipeline of the present invention is not limited to be used in water pipelines, but can also be used in natural gas pipelines, directly buried thermal insulation heating pipelines and oil pipelines.
实施例3：Example 3:
一种基于声波监测系统的管道系统监测方法，包括以下步骤：A pipeline system monitoring method based on a sound wave monitoring system, comprising the following steps:
S1：根据流体管道系统的类型，所述管道系统为天然气管线、直埋保温供热管线和/或输油管线在预设安装声波传感器的位置，在现有阀门、泵、流量计等流体设备上加装声波传感器，或直接将带有声波传感器的阀门或泵设备替换原有的设备；S1: According to the type of the fluid pipeline system, the pipeline system is a natural gas pipeline, a directly buried thermal insulation heating pipeline and/or an oil pipeline. The acoustic wave sensor is preset at the position where the existing valve, pump, flow meter and other fluid equipment are installed. Add a sound wave sensor, or directly replace the original equipment with a valve or pump device with a sound wave sensor;
S2：对所述管道系统的每个装有声波传感器的流体设备进行地理信息编码，即GIS编码，包括每个设备的安装位置及设备编号，即获得其在地理信息系统中的地址坐标值；S2: perform geographic information coding on each fluid device equipped with a sound wave sensor in the pipeline system, that is, GIS coding, including the installation location and device number of each device, that is, obtain its address coordinate value in the geographic information system;
S3：安装有线或无线的信号传输线路及网络，通过信号传输线路及网络将所述声波传感器所收集的信号传输至声波监控分析平台；S3: Install wired or wireless signal transmission lines and networks, and transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through the signal transmission lines and networks;
S4：将带有地理信息编码的每个声波传感器收集的声波信号经过去噪音处理后，在所述声波监控分析平台进行状态分析；S4: After the sound wave signal collected by each sound wave sensor with geographic information coding is subjected to denoising processing, state analysis is performed on the sound wave monitoring and analysis platform;
S5：将声波监控分析平台的分析结果输出至带有地理信息数据的管线或管网的计算机仿真模型中，以管网仿真图形式，可视化地显示声波监控结果，进而用来分析、报警和实时监测管网的泄漏、故障和运行状态监控。S5: Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring of leakage, faults and operational status monitoring of the pipe network.
作为本发明另一个实施例：As another embodiment of the present invention:
在本发明所述基于声波监测系统的管道系统监测方法的基础上，声波监控分析平台及其他传感器收集的数据进行存储，分析所述历史数据与管道及流体设备的故障及工作状态的对应关系，同时将表征的管道运行状态的历史数据关联天气预报、城市地震、城市交通以及城市基础设施建设信息的数据。On the basis of the pipeline system monitoring method based on the acoustic wave monitoring system of the present invention, the data collected by the acoustic wave monitoring and analysis platform and other sensors is stored, and the corresponding relationship between the historical data and the faults and working states of the pipeline and fluid equipment is analyzed, At the same time, the historical data of the pipeline running state is associated with the data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information.
实施例4：Example 4:
基于本发明所述基于声波监测系统的管道系统监测方法，所述管网仿真模型包括管网地理信息模块、管网水力计算仿真模块、管网物联网及传感器模块、管网声波监控模块、管网数据分析模块块以及管网可视化显示模块；所述管网地理信息模块构建基于管网整体的地理信息，所述地理信息包括管道系统本身的地理信息和声波传感器的地理信息；管网水力计算仿真模块基于仿真计算管网中压力的实时分布及变化趋势；管网物联网及传感器模块用于实时采集管网中的运行状态信息；管网声波监控模块基于声波传感器监测管网系统中设备以及管路的运行状态；管网数据分析模块获取管网实时监测数据并将所述管网实时监测数据与历史数据进行比对分析管网系统的运行是否正常；管网可视化显示模块将管网系统的运行状态可视化地显示。Based on the pipeline system monitoring method based on the acoustic wave monitoring system of the present invention, the pipeline network simulation model includes a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network Internet of Things and a sensor module, a pipeline network acoustic wave monitoring module, a pipeline network Network data analysis module block and pipeline network visualization display module; the pipeline network geographic information module constructs the geographic information based on the overall pipeline network, the geographic information includes the geographic information of the pipeline system itself and the geographic information of the acoustic sensor; the hydraulic calculation of the pipeline network The simulation module calculates the real-time distribution and change trend of the pressure in the pipe network based on simulation; the pipe network Internet of Things and sensor modules are used to collect real-time operating status information in the pipe network; the pipe network acoustic monitoring module monitors the equipment in the pipe network system based on the acoustic wave sensor and The running status of the pipeline; the pipeline network data analysis module obtains the real-time monitoring data of the pipeline network and compares the real-time monitoring data of the pipeline network with the historical data to analyze whether the operation of the pipeline network system is normal; The operating status of the display is displayed visually.
实施例5：Example 5:
基于本发明所述基于声波监测系统的管道系统监测方法，所述管网仿真模型包括管网地理信息模块、管网压力计算仿真模块、管网物联网及传感器模块、管网声波监控模块、管网数据分析模块、管网智能分析模块以及管网可视化显示模块；所述管网地理信息模块构建基于管网整体的地理信息，所述地理信息包括管道系统本身的地理信息和声波传感器的地理信息；管网压力计算仿真模块基于仿真计算管网中压力的实时分布及变化趋势；管网物联网及传感器模块用于实时采集管网中的运行状态信息；管网声波监控模块基于声波传感器监测管网系统中设备以及管路的运行状态；管网数据分析模块获取管网实时监测数据并将所述管网实时监测数据与历史数据进行比对分析管网系统的运行是否正常；管网智能分析模块将历史数据与天气预报、城市地震、城市交通以及城市基础设施建设信息的数据关联，并基于数据关联的信息优化管网运行；管网可视化显示模块将管网系统的运行状态和城市交通和城市基础设施建设信息可视化地显示；将城市所有管网系统的运行状态及其历史数据关联天气预报、城市地震、城市交通以 及城市基础设施建设信息的数据，分析出外部环境变化对官网运行的影响具体在基于声波传感器管道监测系统中的具体特征，并在数据分析将所有关于外部环境的噪声去除，以更准确地分析管道的运行状态，能大大降低误判率。Based on the pipeline system monitoring method based on the acoustic wave monitoring system of the present invention, the pipeline network simulation model includes a pipeline network geographic information module, a pipeline network pressure calculation simulation module, a pipeline network IoT and sensor module, a pipeline network acoustic wave monitoring module, a pipeline network Network data analysis module, pipeline network intelligent analysis module and pipeline network visualization display module; the pipeline network geographic information module constructs the geographic information based on the overall pipeline network, and the geographic information includes the geographic information of the pipeline system itself and the geographic information of the acoustic wave sensor ;The pipe network pressure calculation simulation module calculates the real-time distribution and change trend of the pressure in the pipe network based on the simulation; the pipe network Internet of Things and sensor modules are used to collect the running status information in the pipe network in real time; the pipe network acoustic wave monitoring module monitors the pipe network based on the acoustic wave sensor. The operation status of the equipment and pipelines in the network system; the pipeline network data analysis module obtains the real-time monitoring data of the pipeline network and compares the real-time monitoring data of the pipeline network with the historical data to analyze whether the operation of the pipeline network system is normal; intelligent analysis of the pipeline network The module associates historical data with data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information, and optimizes the operation of the pipe network based on the information associated with the data; the pipe network visualization display module associates the operation status of the pipe network system with the urban traffic and Visual display of urban infrastructure construction information; correlate the operation status of all urban pipe network systems and their historical data with data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information, and analyze the impact of external environmental changes on the operation of the enterprise It is based on the specific characteristics of the pipeline monitoring system based on the acoustic wave sensor, and in the data analysis, all noises related to the external environment are removed, so as to analyze the operation status of the pipeline more accurately, which can greatly reduce the misjudgment rate.
实施例6：Example 6:
基于本发明所述基于声波的管道监测系统及监测方法，声波传感器实时持续获取管道系统中的管道、阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器运行信息，管道系统运行状态发生微小的变化时，声波传感器监测的声压、声强和/或频率发生相应的变化，将所述声压、声强和频率进行分析并同时与正常运行状态下的声压、声强和频率进行对比分析确定运行状态是否正常；当然在进行分析时根据管道、阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器周围的外部环境先过滤掉外部噪音。Based on the acoustic wave-based pipeline monitoring system and monitoring method of the present invention, the acoustic wave sensor continuously acquires the pipelines, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters in the pipeline system in real time. When there is a slight change in the operating state of the piping system, the sound pressure, sound intensity and/or frequency monitored by the acoustic wave sensor changes accordingly, and the sound pressure, sound intensity and frequency are analyzed and compared with the normal operating state The sound pressure, sound intensity and frequency are compared and analyzed to determine whether the operating state is normal; The external environment around the device first filters out external noise.
本发明利用大数据或人工智能分析城市管道系统中声波传感器在不同时间间隔内收集的声波信号，利用大数据对比分析不同设备运行状态下的声波及三维图像，并利用人工智能的自学习功能，实现对声波信号的噪音消除和管线及设备的泄漏、安全、运行状态的人工智能监控，同时将城市管网的运行信息与天气预报、城市地震、城市交通以及城市基础设施建设信息关联，为优化城市管网以及基础设施建设提供有效参考，有助于提高城市管理和运行水平。The invention uses big data or artificial intelligence to analyze the sound wave signals collected by the acoustic wave sensor in the urban pipeline system in different time intervals, uses the big data to compare and analyze the sound waves and three-dimensional images under different operating states of the equipment, and uses the self-learning function of artificial intelligence, Realize the noise elimination of acoustic signals and artificial intelligence monitoring of pipeline and equipment leakage, safety and operation status, and at the same time correlate the operation information of the urban pipeline network with the weather forecast, urban earthquake, urban traffic and urban infrastructure construction information, in order to optimize The urban pipeline network and infrastructure construction provide effective reference and help to improve the level of urban management and operation.
本说明书中各个实施例采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似部分互相参见即可。The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the various embodiments can be referred to each other.
以上对本发明所提供的带声波监控的管道液体输运系统和方法进行了详细介绍。本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想。应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以对本发明进行若干改进和修饰，这些改进和修饰也落入本发明权利要求的保护范围内。The pipeline liquid transportation system and method with sound wave monitoring provided by the present invention have been described in detail above. The principles and implementations of the present invention are described herein by using specific examples, and the descriptions of the above embodiments are only used to help understand the method and the core idea of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can also be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims (10)

  1. 一种基于声波的管道监测系统，其特征在于，包括声信号获取模块、声波监控分析平台以及数据存储模块；声信号获取模块用于实时获取管道系统中监测对象的声波信号并传送至声波监控分析平台；An acoustic wave-based pipeline monitoring system is characterized in that it includes an acoustic signal acquisition module, an acoustic wave monitoring and analysis platform, and a data storage module; the acoustic signal acquisition module is used to acquire the acoustic wave signal of the monitoring object in the pipeline system in real time and transmit it to the acoustic wave monitoring and analysis. platform;
    声波监控分析平台对所述电信号进行转换、降噪并存储，同时对降噪后的信号进行分析，获取管道系统中监测对象的运行情况；数据存储模块用于存储声波监控分析平台获取的电信号以及经过声波监控分析平台处理的结果；The acoustic wave monitoring and analysis platform converts, reduces noise, and stores the electrical signals, and at the same time analyzes the noise-reduced signals to obtain the operation status of the monitored objects in the pipeline system; the data storage module is used to store the electrical signals obtained by the acoustic wave monitoring and analysis platform. Signals and the results processed by the acoustic monitoring and analysis platform;
    声信号获取模块采用声波传感器，管道系统中监测对象包括流体管道、阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器；声波传感器用于监测阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器任意一种流体设备的泄漏、振动以及工作状态。The acoustic signal acquisition module adopts acoustic wave sensors. The monitoring objects in the pipeline system include fluid pipes, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters; acoustic wave sensors are used to monitor valves, Leakage, vibration and working conditions of any fluid equipment such as pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers and filters.
  2. 根据权利要求1所述的基于声波的管道监测系统，其特征在于，声波传感器包括听音器、拾音器、微小位移电信号声音传感器、表面声波传感器、动态压力传感器、声波频率传感器、声波声压传感器、声波声强传感器、声波声功率传感器中的任意一种或组合。The acoustic wave-based pipeline monitoring system according to claim 1, wherein the acoustic wave sensor comprises a hearing device, a pickup, a micro-displacement electrical signal acoustic sensor, a surface acoustic wave sensor, a dynamic pressure sensor, an acoustic frequency sensor, and an acoustic acoustic pressure sensor. , any one or combination of sonic sound intensity sensor and sonic sound power sensor.
  3. 根据权利要求1所述的基于声波的管道监测系统，其特征在于，所述表面声波传感器包括瑞利波传感器、光纤传感器、切向水平板模传感器、兰姆波传感器或乐甫波传感器中的任意一种或组合。The acoustic wave-based pipeline monitoring system according to claim 1, wherein the surface acoustic wave sensor comprises a Rayleigh wave sensor, an optical fiber sensor, a tangential horizontal plate mode sensor, a Lamb wave sensor or a Love wave sensor. any one or a combination.
  4. 根据权利要求1所述的基于声波的管道监测系统，其特征在于，流体管道、阀门、泵、弯头、三通、膨胀器、法兰、流量计、换热器以及过滤器在制造过程中加装声波传感器或在现有管道系统中加装声波传感器。The sonic-based pipeline monitoring system of claim 1, wherein the fluid pipelines, valves, pumps, elbows, tees, expanders, flanges, flow meters, heat exchangers, and filters are in the manufacturing process Retrofit sonic sensors or add sonic sensors to existing piping systems.
  5. 根据权利要求1所述的基于声波的管道监测系统，其特征在于，声波传感器带有ID编码，所述ID编码与所述声波传感器所在位置的信息编码对应，所述ID编码中还与当前声波传感器监测对象的编码一一对应。The pipeline monitoring system based on sound waves according to claim 1, wherein the sound wave sensor has an ID code, the ID code corresponds to the information code of the location of the sound wave sensor, and the ID code also corresponds to the current sound wave The codes of the objects monitored by the sensors correspond one-to-one.
  6. 根据权利要求1所述的基于声波的管道监测系统，其特征在于，声波监控分析平台中设置声电信号转换模块用于将声信号获取模块直接获取的声波信号转换为电信号。The acoustic wave-based pipeline monitoring system according to claim 1, wherein the acoustic wave monitoring and analysis platform is provided with an acoustic-electrical signal conversion module for converting the acoustic wave signal directly obtained by the acoustic signal acquisition module into an electrical signal.
  7. 根据权利要求1所述的基于声波的管道监测系统，其特征在于，监测的管道系统包括自来水管线系统、天然气管线系统、直埋保温供热管线系统或输油管线系统。The acoustic wave-based pipeline monitoring system according to claim 1, wherein the monitored pipeline system includes a tap water pipeline system, a natural gas pipeline system, a directly buried thermal insulation heating supply pipeline system or an oil pipeline system.
  8. 一种基于声波监测系统的管道系统监测方法，其特征在于，包括以下步骤：A pipeline system monitoring method based on a sound wave monitoring system, characterized in that it comprises the following steps:
    S1：根据流体管道系统的类型，在预设安装声波传感器的位置，在现有阀门、泵、流量计等流体设备上加装声波传感器，或直接将带有声波传感器的阀门或泵设备替换原有的设备；S1: According to the type of the fluid piping system, install the acoustic sensor on the existing valve, pump, flowmeter and other fluid equipment at the preset location where the acoustic sensor is installed, or directly replace the valve or pump with the acoustic sensor. some equipment;
    S2：对所述管道系统的每个装有声波传感器的流体设备进行地理信息编码，即GIS编码，包括每个设备的安装位置及设备编号，即获得其在地理信息系统中的地址坐标值；S2: perform geographic information coding on each fluid device equipped with a sound wave sensor in the pipeline system, that is, GIS coding, including the installation location and device number of each device, that is, obtain its address coordinate value in the geographic information system;
    S3：安装有线或无线的信号传输线路及网络，通过信号传输线路及网络将所述声波传感器所收集的信号传输至声波监控分析平台；S3: Install wired or wireless signal transmission lines and networks, and transmit the signals collected by the acoustic wave sensor to the acoustic wave monitoring and analysis platform through the signal transmission lines and networks;
    S4：将带有地理信息编码的每个声波传感器收集的声波信号经过去噪音处理后，在所述声波监控分析平台进行状态分析；S4: After the sound wave signal collected by each sound wave sensor with geographic information coding is subjected to denoising processing, state analysis is performed on the sound wave monitoring and analysis platform;
    S5：将声波监控分析平台的分析结果输出至带有地理信息数据的管线或管网的计算机仿真模型中，以管网仿真图形式，可视化地显示声波监控结果，进而用来分析、报警和实时监测管网的泄漏、故障和运行状态监控。S5: Output the analysis results of the sound wave monitoring and analysis platform to the computer simulation model of the pipeline or pipe network with geographic information data, and visualize the sound wave monitoring results in the form of pipe network simulation diagrams, which are then used for analysis, alarm and real-time monitoring. Monitoring of leakage, faults and operational status monitoring of the pipe network.
  9. 根据权利要求8所述的管道系统监测方法，其特征在于，对声波监控分析平台及其他传感器收集的数据进行存储，分析所述历史数据与管道及流体设备的故障及工作状态的对应关系，同时将表征的管道运行状态的历史数据关联天气预报、城市地震、城市交通以及城市基础设施建设信息的数据。The pipeline system monitoring method according to claim 8, wherein the data collected by the acoustic wave monitoring and analysis platform and other sensors is stored, the corresponding relationship between the historical data and the faults and working states of the pipeline and fluid equipment is analyzed, and at the same time Correlate the historical data representing the running state of the pipeline with the data of weather forecast, urban earthquake, urban traffic and urban infrastructure construction information.
  10. 根据权利要求8所述的管道系统监测方法，其特征在于，所述管网仿真模型包括管网地理信息模块、管网水力计算仿真模块、管网物联网及传感器模块、管网声波监控模块、管网数据分析模块、管网智能分析模块以及管网可视化显示模块。The pipeline system monitoring method according to claim 8, wherein the pipeline network simulation model comprises a pipeline network geographic information module, a pipeline network hydraulic calculation simulation module, a pipeline network Internet of Things and a sensor module, a pipeline network acoustic wave monitoring module, Pipe network data analysis module, pipe network intelligent analysis module and pipe network visualization display module.
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