CN219198911U - Internet of things heat supply pipeline leakage alarm system based on sound wave detection - Google Patents

Abstract

The utility model provides an Internet of things heat supply pipeline leakage alarm system based on sound wave detection, which comprises a monitoring platform and sound wave detection devices, wherein the monitoring platform is in wireless communication with a plurality of sound wave detection devices, the sound wave detection devices are arranged in valve wells of a primary heat supply pipeline, and the sound wave detection devices are used for simultaneously collecting sound wave signals on a water supply pipeline and a water return pipeline. According to the utility model, the piezoelectric acoustic wave sensor is arranged in each valve well of the primary heat supply pipe network, acoustic wave signals on the water supply pipeline and the water return pipeline are collected, and whether the leakage fault of the heat supply pipeline occurs can be accurately judged through synchronous far-field audio comparison of the water supply pipeline and the water return pipeline.

Description

Internet of things heat supply pipeline leakage alarm system based on sound wave detection

Technical Field

The utility model belongs to the technical field of leakage monitoring of directly buried heat supply pipelines, and particularly relates to an Internet of things heat supply pipeline leakage alarm system based on sound wave detection.

Background

The urban heat supply pipe network is one of the important infrastructures of the city, and the scale and pipe diameter of the heat supply pipe network are larger and larger along with the rapid development of urban central heat supply. By 2020, the length of the central heating pipeline in China is 42.6 kilometers, and the maximum pipe diameter reaches DN1600. The operation time of the heat supply pipeline is increased year by year, the heat supply pipeline built in early stage tends to be aged, pipeline corrosion and water hammer pressure mutation are carried out, natural disasters such as earthquake and the like affect the heat supply pipeline, the heat supply pipeline leakage accident is induced to climb year by year, the loss and the waste of energy and water resources are caused, even the ground collapse is caused, and the urban heat supply and the life and property safety of people are seriously influenced. The direct-buried laying mode has the advantages of energy conservation, low cost, small occupied area, convenient construction and the like, and is rapidly developed in China. However, when the direct-buried pipeline leaks, the position of the leakage point is difficult to confirm, the heat stopping time is long, the rush repair cost is high, and if the leakage point cannot be found in time, serious accidents which influence public safety are easily caused.

At present, common leakage detection methods for directly buried heat supply pipelines include a manual inspection method, a flow method, a pressure method, a directly buried early warning line monitoring method, an optical fiber leakage on-line monitoring method and the like, and the methods are complex to apply and have larger error when determining pipeline leakage. Therefore, monitoring devices and methods for detecting leakage of pipelines by adopting an acoustic method are developed at home and abroad. For example, chinese patent CN214275368U discloses an adiabatic pipeline leakage prevention system using audio monitoring, which includes a monitoring computer and a plurality of detection devices connected with the monitoring computer by signals, wherein the monitoring computer sets a numerical range of pipeline vibration audio frequency, and when the monitoring computer monitors that vibration audio frequency data transmitted by a detection sensor exceeds a threshold value, a certain leakage point and a certain leakage time are determined. The leakage alarm is judged according to the sound wave signals collected by a single pipeline, but the sound wave signals are easily affected by the surrounding environment, for example, the heat supply pipeline is buried near a factory and a highway main road, the environment noise is transmitted through the heat supply pipeline and is received by a sensor, and misjudgment is generated.

Disclosure of Invention

Aiming at the technical problems existing in the prior art, the utility model provides the heating pipeline leakage alarm system of the Internet of things based on sound wave detection, wherein a piezoelectric sound wave sensor is arranged in each valve well of a primary heating pipeline network, sound wave signals on a water supply pipeline and a water return pipeline are collected at the same time, whether leakage faults occur or not is judged through the signal power difference value of the two sound wave signals, whether the leakage faults of the heating pipeline occur or not can be accurately judged through the synchronous far-field audio comparison of the water supply and the water return, the system has the advantages of high detection sensitivity, low power consumption and low misjudgment, the whole primary heating pipeline network area can be covered, and the primary heating pipeline network is monitored and early warned.

The technical scheme adopted by the utility model is as follows: the utility model provides an thing networking heating pipeline leakage alarm system based on sound wave detects, includes monitor platform and sound wave detection device, monitor platform and a plurality of sound wave detection device wireless communication, sound wave detection device sets up in the valve well of a heating network, sound wave detection device is used for gathering the sound wave signal on supply pipe and the return water pipe simultaneously, sound wave detection device includes controller unit, thing networking wireless transmission unit and two piezoelectricity sound wave sensor, the controller unit is connected with thing networking wireless transmission unit and two piezoelectricity sound wave sensor respectively, two piezoelectricity sound wave sensor sets up respectively on supply pipe and return water pipe. The wireless transmission unit of the internet of things adopts an NB-iot wireless transmission unit of the internet of things.

Furthermore, each valve well of the primary heating pipe network is internally provided with one sound wave detection device.

Furthermore, the piezoelectric acoustic wave sensor adopts a piezoelectric ceramic probe.

Further, the two piezoelectric acoustic wave sensors are respectively arranged on the outer surfaces of the metal pipeline shells of the water supply pipeline and the water return pipeline.

Working principle: the heat supply pipeline of the primary heat supply pipe network comprises two pipelines of a water supply pipeline or a water return pipeline, and the two heat supply pipelines are laid in a direct-buried mode. The leakage fault of the heat supply pipeline generally only occurs on the water supply pipeline or the water return pipeline, and the condition that the leakage fault points of the water supply pipeline and the water return pipeline occur at the same time hardly occurs. After the leakage fault point occurs on the heat supply pipeline, sound wave vibration can be generated in the audio frequency range of 400-2000Hz, the signal power of the sound wave vibration can be generally more than 300db, and even 1000db can be reached when the signal power is large, and the common background noise on the heat supply pipeline is only 5-15db. And the sound wave vibration can be transmitted only on the failed heat supply pipeline, and the other heat supply pipeline cannot be influenced. Therefore, the utility model carries out monitoring and early warning based on the change of the sound size difference in the specific audio frequency range measured by the water supply pipeline and the water return pipeline. The piezoelectric ceramic probe is adopted to monitor a water supply pipeline and a water return pipeline in a valve well of a primary heat supply pipe network, meanwhile, acoustic wave signals are collected, the power difference value of the two acoustic wave signals is calculated, and accordingly whether the leakage fault of the heat supply pipeline occurs is judged. And the occurrence position area range of the leakage fault point of the heat supply pipeline can be initially positioned, and the fault point is positioned on the heat supply pipeline with higher signal power corresponding to the two sides of the valve well. The range of the two sides of the valve well is determined according to the coverage radius of the piezoelectric acoustic wave sensor.

Compared with the prior art, the utility model has the following beneficial effects:

1. according to the utility model, the acoustic wave detection devices are arranged in each valve well of the primary heat supply pipe network, and when the coverage radius of the piezoelectric acoustic wave sensor reaches 500 meters, the system can cover the whole primary heat supply pipe network. Based on the internet of things technology, the monitoring platform is in wireless communication with all the acoustic wave detection devices, so that leakage fault monitoring and early warning of the whole primary heating pipe network area are realized.

2. The utility model periodically collects the sound wave signals of the water supply pipeline and the water return pipeline, does not need to monitor in real time all the time, has low power consumption and easy management, and has the advantages of low power consumption.

Drawings

FIG. 1 is a schematic diagram of an embodiment of the present utility model;

FIG. 2 is a flow chart of the method of the present utility model.

In the figure: the system comprises a 1-monitoring platform, a 2-controller unit, a 3-Internet of things wireless transmission unit and a 4-piezoelectric acoustic wave sensor.

Detailed Description

The present utility model will be described in detail below with reference to the drawings and the specific embodiments, so that those skilled in the art can better understand the technical solutions of the present utility model.

The embodiment of the utility model provides an Internet of things heating pipeline leakage alarm system based on sound wave detection, which is shown in fig. 1 and comprises a monitoring platform 1 and a sound wave detection device. And each valve well of the primary heat supply pipe network is internally provided with one sound wave detection device, and the monitoring platform 1 is in wireless communication with all the sound wave detection devices. The sound wave detection device comprises a controller unit 2, an internet of things wireless transmission unit 3 and two piezoelectric sound wave sensors 4, wherein the controller unit 2 is respectively connected with the internet of things wireless transmission unit 3 and the two piezoelectric sound wave sensors 4, and the two piezoelectric sound wave sensors 4 are respectively arranged on the outer surfaces of metal pipeline shells of a water supply pipeline and a water return pipeline. The piezoelectric acoustic wave sensor 4 adopts a piezoelectric ceramic probe to detect an acoustic wave vibration signal. A lithium battery is arranged in the controller unit 2 to supply power for the whole sound wave detection device. The two piezoelectric acoustic wave sensors 4 acquire signals once at intervals of 30-60 minutes, and the acquired signals are transmitted to the monitoring platform 1 through the wireless transmission unit 3 of the Internet of things by the controller unit 2.

The use process of the heating pipeline leakage alarm system of the Internet of things based on sound wave detection is as follows:

step 1: an acoustic wave detection device is arranged in each valve well of the primary heating pipe network, and two piezoelectric acoustic wave sensors 4 are respectively arranged on a water supply pipeline and a water return pipeline. According to the distance between the two valve wells, a piezoelectric acoustic wave sensor 4 with a proper model is selected, so that the measuring range of the piezoelectric acoustic wave sensor 4 covers a heat supply pipeline between the valve wells.

Step 2: the piezoelectric acoustic wave sensor 4 in each valve well is spaced for 10-60 minutes, for example, 20 minutes, and simultaneously collects acoustic wave signals of a primary water supply pipeline and a primary water return pipeline; the acquired signals are then sent to the monitoring platform 1. The acquisition interval of the piezoelectric acoustic wave sensor 4 can be set by a monitoring platform according to actual needs.

Step 3: the monitoring platform 1 carries out 400-2000Hz band-pass filtering on the acquired sound wave signals, and then calculates the power of the sound wave signals respectively.

Step 4: the monitoring platform 1 then compares and calculates the difference of the signal power of the water supply pipeline and the water return pipeline in each valve well.

Step 5: if the signal power difference value corresponding to a certain valve well exceeds a threshold value, namely 300db, for 5 continuous times, judging that the pipelines at the two sides of the valve well have heat supply pipeline leakage faults. The heat supply pipeline leakage fault point is located on a heat supply pipeline with higher signal power, for example, the signal power of a water supply pipeline is 300db higher than that of a water return pipeline, and then the heat supply pipeline leakage fault point is located on the water supply pipeline. The monitoring platform 1 sends out a heat supply pipeline leakage fault alarm to remind related personnel. The specific value of the threshold value can be set according to actual needs on the monitoring platform 1.

The present utility model has been described in detail by way of examples, but the description is merely exemplary of the utility model and should not be construed as limiting the scope of the utility model. The scope of the utility model is defined by the claims. In the technical scheme of the utility model, or under the inspired by the technical scheme of the utility model, similar technical schemes are designed to achieve the technical effects, or equivalent changes and improvements to the application scope are still included in the protection scope of the patent coverage of the utility model.

Claims (4)

1. Internet of things heat supply pipeline leakage alarm system based on sound wave detection is characterized in that: including monitor platform and sound wave detection device, monitor platform and a plurality of sound wave detection device wireless communication, sound wave detection device sets up in the valve well of primary heating network, sound wave detection device is used for gathering the sound wave signal on water supply pipe and the return water pipe simultaneously, sound wave detection device includes controller unit, thing networking wireless transmission unit and two piezoelectricity sound wave sensor, the controller unit is connected with thing networking wireless transmission unit and two piezoelectricity sound wave sensor respectively, two piezoelectricity sound wave sensor sets up respectively on water supply pipe and the return water pipe.

2. The acoustic wave detection based internet of things heating pipeline leakage alarm system as set forth in claim 1, wherein: and each valve well of the primary heating pipe network is internally provided with one sound wave detection device.

3. The acoustic wave detection based internet of things heating pipeline leakage alarm system as set forth in claim 1, wherein: the piezoelectric acoustic wave sensor adopts a piezoelectric ceramic probe.

4. The acoustic wave detection based internet of things heating pipeline leakage alarm system as set forth in claim 1, wherein: the two piezoelectric acoustic wave sensors are respectively arranged on the outer surfaces of the metal pipeline shells of the water supply pipeline and the water return pipeline.

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