An urban underground pipe network intelligent monitoring device and a monitoring method

Abstract

The application relates to the technical field of underground pipe network monitoring, in particular to an urban underground pipe network intelligent monitoring device and a monitoring method, which comprises a sound positioning mechanism arranged in a pipe gallery and a control center, the sound positioning mechanism is electrically connected with the control center, a mobile monitoring mechanism is arranged in the pipe gallery, the mobile monitoring mechanism comprises a 3D camera and a moving assembly, the 3D camera slides in the pipe gallery through the moving assembly and is used for monitoring a section of pipe network; the 3D camera is electrically connected with the control center, the moving assembly is electrically connected with the control center, after receiving a water leakage sound signal, the control center controls the moving assembly to drive the 3D camera to move to a sound source position to collect images and confirm whether water leaks, and the control center collects monitoring signals and reminds monitoring personnel. The application has the effect of improving the positioning accuracy of water leakage points.

Description

Technical Field

[0001] This application relates to the technical field of underground pipeline network monitoring, and in particular to an intelligent monitoring device and monitoring method for urban underground pipeline networks. Background Technology

[0002] Currently, underground pipelines refer to water supply, drainage, gas, heating, electricity, communications, broadcasting and television, industrial pipelines and their ancillary facilities within urban areas. They are vital infrastructure and "lifelines" ensuring urban operation. my country plans to build a relatively complete urban underground pipeline system within about 10 years, enabling the construction and management level of underground pipelines to adapt to the needs of economic and social development and significantly improving emergency response and disaster prevention capabilities.

[0003] In the prior art, Chinese Patent Publication No. CN115435251A discloses a method for monitoring leakage in underground pipe networks. The system includes: multiple monitoring terminals and a data processing center; wherein, the multiple monitoring terminals are respectively set at both ends of each section of pipe in the pipe network; each monitoring terminal is used to collect water flow audio data at its monitoring point; and is used to send monitoring data of its monitoring point to the data processing center, wherein the monitoring data includes the location information of the monitoring point and audio data with corresponding time stamps; the data processing center is used to receive the monitoring data reported by the monitoring terminals at each monitoring point, compare the audio data in the monitoring data with the audio data in the non-leaking state to determine whether there is pipe leakage, and is used to determine the receiving time difference of the leakage sound waveform, the distance between two adjacent monitoring terminals, and the sound propagation speed based on the monitoring data of the monitoring terminals at both ends of the first pipe where leakage occurs, and calculate the location of the leakage point on the first pipe.

[0004] In the process of developing this application, the inventors discovered that the technology has at least the following problems: the sound of multi-directional water flow in the pipe gallery and the sound in the enclosed space are relatively chaotic. Monitoring the water leakage point by audio monitoring is prone to misjudgment, resulting in inaccurate location of the water leakage point. Summary of the Invention

[0005] To improve the accuracy of leak location, this application provides an intelligent monitoring device and monitoring method for urban underground pipe networks.

[0006] Firstly, this application provides an intelligent monitoring device for urban underground pipe networks, which adopts the following technical solution:

[0007] An intelligent monitoring device for urban underground pipe networks includes a sound positioning mechanism and a control center installed in a pipe gallery. The sound positioning mechanism is electrically connected to the control center. A mobile monitoring mechanism is installed in the pipe gallery, comprising a 3D camera and a moving component. The 3D camera slides within the pipe gallery via the moving component and is used to monitor a section of the pipe network. The 3D camera is electrically connected to the control center, and the moving component is also electrically connected to the control center. Upon receiving a water leakage sound signal, the control center controls the moving component to move the 3D camera to the sound source to acquire images and confirm whether there is a water leakage. The control center summarizes the monitoring signals and alerts the monitoring personnel.

[0008] By adopting the above technical solution, when a leak occurs in the underground pipeline network, the sound in the pipe gallery changes, and the sound signal is transmitted to the control center. The control center controls a mobile component to move a 3D camera to the affected section of the pipeline to acquire images, which are then transmitted back to the control center. The control center detects the leak and sends its location. Monitoring personnel then determine whether the pipeline needs maintenance based on the leak and location signals. The mobile monitoring mechanism reduces false alarms caused by chaotic sound in the pipe gallery and quickly locates the leak, improving the accuracy of leak location and facilitating timely identification of the leak by staff, thus reducing water waste.

[0009] Optionally, the moving component includes a slide rail and a moving trolley. The slide rail is disposed inside the pipe gallery and is arranged along the length of the pipe gallery. The moving trolley slides on the slide rail, and the 3D camera is disposed on the moving trolley.

[0010] By adopting the above technical solution, when a leak occurs in the underground pipeline network, the sound in the pipe gallery changes, and the sound signal is transmitted to the control center. The control center controls a mobile trolley to slide along a rail, and the mobile trolley moves a 3D camera to the section of the pipeline to collect images and transmit the image information to the control center. The control center detects the leak and sends the location information. Monitoring personnel determine whether the pipeline needs maintenance based on the leak signal and the location signal. The mobile monitoring mechanism has a simple structure, and the 3D camera can collect images and videos, which facilitates the investigation of the cause of the accident and the retention of information. The mobile components have a simple structure, are easy to operate, and are easy to install.

[0011] Optionally, a monitoring mechanism is installed on the pipeline of the pipeline network. The monitoring mechanism includes a vibration monitor. Multiple vibration monitors are spaced apart along the length of the pipeline, and the vibration monitors are electrically connected to the control center.

[0012] By adopting the above technical solution, when the sound positioning mechanism is damaged or the moving component fails, the vibration monitor monitors the vibration frequency of the pipeline and transmits the vibration frequency to the control center. The control center compares the vibration frequency with the vibration frequency of a pipeline with normal water flow to determine whether there is a leak. The control center controls the moving component to drive the 3D camera to slide along the length of the pipe gallery and collect images of the pipeline. Then, it determines whether there is a leak and sends a position signal to the staff. The vibration monitor can reduce the occurrence of leaks that cannot be detected due to equipment failure, thus maintaining the accuracy of leak location.

[0013] Optionally, the monitoring mechanism further includes electromagnetic flow meters, with multiple electromagnetic flow meters spaced at intervals along the pipeline, and the electromagnetic flow meters are electrically connected to the control center.

[0014] By adopting the above technical solution, when the flow rate in the pipeline changes, the flow rate difference between two adjacent monitoring points is compared, and then the difference is transmitted to the control center. The control center determines the leakage situation and displays the leakage flow rate on the control center. By setting up the electromagnetic flow meter, the leakage situation is made more intuitive, reducing the need for staff to enter the pipe gallery to observe the leakage situation, and directly making a judgment on whether to shut off the water and when to carry out maintenance, thereby reducing the workload of staff and reducing the safety accident of drowning caused by excessive leakage.

[0015] Optionally, the monitoring mechanism further includes a level gauge and a water collection tank. Multiple water collection tanks are provided in the pipe gallery and are equally spaced along the length of the pipe gallery. The level gauge is installed in the water collection tank and is electrically connected to the control center.

[0016] By adopting the above technical solution, when a leak occurs, water accumulates in the water collection tank, causing a change in the value or position of the level gauge. This change transmits the level or position signal to the control center. Upon receiving the signal, the control center calculates the instantaneous difference value and displays it. Simultaneously, it determines whether the leak is a drip, a stream, or a torrent, and displays this information on the screen. The level gauge further assesses the leakage situation, making the leak detection more accurate. Additionally, it can pinpoint the leak location based on sudden changes in the water level in the collection tank, further refining the leak location.

[0017] Secondly, this application provides a method for monitoring urban underground pipe networks, which adopts the following technical solution:

[0018] A method for monitoring urban underground pipe networks, comprising:

[0019] Acquire sound within the utility tunnel;

[0020] Based on the collected sound, a preset sound repository is retrieved;

[0021] The sound storage repository contains stored sound of various audio frequency ranges and waveforms ranging from dripping sounds to sounds of large-area leakage;

[0022] The collected sound is compared with the sound stored in the sound repository to determine if they are the same. If they are the same, an alarm is issued to alert the staff and the pipeline section information is sent. If not, the monitoring of the pipeline network continues.

[0023] By adopting the above technical solution, the sound inside the pipe gallery is acquired in real time, and the sound signal is compared with the sound in the sound storage library to determine whether it belongs to the sound storage library. If it does, a leak has occurred, an alarm is issued to remind the staff, and the location information of the pipe section is sent. Through the above monitoring method, the leaking pipe section can be quickly detected, reducing the need for manual inspection, thereby reducing labor costs and improving safety.

[0024] Optionally, if no, the sound is compared again to determine if the collected sound is similar to the sound stored in the sound repository; if yes, an alarm is issued to alert the staff and the pipeline section information is sent; if no, the monitoring of the pipeline network continues.

[0025] By adopting the above technical solution, the degree of damage or breakage of the pipeline varies, and the sound wavelength of the water leakage is also different. When a sound that does not exist in the sound storage library is detected, it is determined whether the frequency band of the collected sound signal belongs to the adjacent leakage sound frequency band. If so, an alarm is issued and the pipeline segment information is sent. After verifying the leakage, the sound of that frequency band is recorded into the sound storage library. Through the above settings, the probability of leakage going undetected is further reduced, enabling timely detection of leakage and reducing water waste.

[0026] Optionally, when an alarm is issued, the monitoring device is controlled to move to the source of the leaking sound, acquire image information of the leaking sound source, and determine whether the pipeline is leaking based on the image information. If so, the alarm is issued again and the leak location information is sent; otherwise, the alarm is turned off.

[0027] By adopting the above technical solution, after comparison, if the sound is determined to be a leak, an alarm is issued. Simultaneously, the monitoring device moves to the pipe section where the leak source is located, inspects the pipeline in that section, and takes photos or videos. The image information is transmitted to the control center, which analyzes the image information to see if water flow is generated. If a leak is indeed found, an alarm is issued and the leak location information is sent, achieving precise location of the leak point. If not, the sound judgment is incorrect, and the alarm is terminated. Through the above settings, the actual leak situation is screened, reducing false alarms and the waste of maintenance preparation work caused by false alarms. Ineffective inspections and preparations are reduced, thereby improving efficiency and reducing labor costs.

[0028] Optionally, it also includes: establishing a flow difference database, which contains drip range thresholds, column flow range thresholds, and torrent flow range thresholds;

[0029] Calculate the difference in flow rate changes between two closely spaced flow rate signals, compare the difference with multiple range thresholds in the flow rate difference database, and determine whether the flow rate difference falls within the dripping range threshold, column flow range threshold, or flood flow range threshold. If so, issue an alarm, with the alarm sound frequency increasing sequentially; otherwise, continue monitoring the pipeline network.

[0030] By adopting the above technical solution, the flow signal of the pipe section is acquired through the monitoring device, and the flow signal within the pipe section is compared to obtain the flow difference before and after, so as to determine whether there is a leak. The flow difference is compared with the dripping range threshold, column flow range threshold, and flood flow range threshold, and an alarm of the corresponding frequency is issued to remind the staff that there is a leak in the pipeline. The monitoring device is then moved to the pipe section to verify the leak. Through the above settings, the pipeline leak situation is made more intuitive, and false alarms caused by erroneous sound acquisition are reduced. The initial judgment of leaks by flow and / or sound reduces the probability of false alarms. At the same time, by setting different frequency alarms, the staff can confirm the maintenance level, put on the appropriate tools, reduce all tooling or useless preparation work, and improve efficiency.

[0031] Optionally, it also includes: establishing a water level difference database, which contains multiple instantaneous water level differences, and the multiple instantaneous water level differences are divided into dripping water level difference range threshold, column flow water level difference range threshold, and flood flow water level difference range threshold;

[0032] The system acquires water level signals within the pipe gallery and obtains the instantaneous difference in water level over a 5-second period. It then compares this instantaneous difference with the instantaneous difference values ​​in the water level difference database to determine whether the instantaneous difference falls within the threshold range for dripping, columnar, or flood water level differences.

[0033] If the water level difference falls within the threshold range of dripping water level difference, an alarm will be issued to notify staff; if it falls within the threshold range of column flow water level difference, an alarm will be issued to notify staff to carry out repairs; if it falls within the threshold range of flood flow water level difference, an emergency water supply will be shut off, and the pipe gallery will be triggered to drain water into the city's sewage pipes, and an alarm will be issued to notify staff to carry out repairs.

[0034] By adopting the above technical solution, when a pipeline leak occurs, the water level signal in the pipe gallery changes. The difference in water level changes over 5 seconds is calculated to obtain the instantaneous difference value. Then, it is compared with the instantaneous difference values ​​in the water level difference value database. If the difference falls within the dripping water level difference range threshold and / or the flow signal change difference falls within the dripping range threshold, an alarm is issued to remind staff. If the difference falls within the column flow water level difference range threshold, an alarm is issued to notify staff to carry out repairs. If both the column flow water level difference range threshold and the flow signal change difference fall within the column flow range threshold, a water outage warning is triggered and sent to the area. Users can trigger an alarm to notify staff for repairs and stop water supply from the pipeline within half an hour. If the difference between the flood level and / or the flow signal change falls within the flood range threshold, an emergency water stop will be initiated, triggering drainage from the pipeline corridor to the city's sewage pipes, and an alarm will be triggered to notify staff for repairs. By comparing the flow rate and leakage rate, false alarms are reduced, and staff can be intuitively alerted to the problem, making repairs more convenient. The leak location can also be accurately reported, enabling precise location of the leak.

[0035] In summary, this application includes the following beneficial technical effects:

[0036] 1. By setting up mobile monitoring devices, false alarms caused by chaotic noise in the pipe gallery are reduced. Furthermore, the mobile monitoring devices can quickly locate the leak, thereby improving the accuracy of leak location and making it easier for staff to find the leak in a timely manner, thus reducing water waste.

[0037] 2. The above settings make pipeline leaks more intuitive and reduce false alarms caused by incorrect sound acquisition. Initial leak detection based on flow and / or sound reduces the likelihood of false alarms. Additionally, the use of different alarm frequencies allows staff to confirm the repair level, wear appropriate tools, and reduce unnecessary preparation work, thus improving efficiency.

[0038] 3. The above settings make pipeline leaks more intuitive and reduce false alarms caused by incorrect sound acquisition. Initial leak detection based on flow and / or sound reduces the likelihood of false alarms. Additionally, the use of different alarm frequencies allows staff to confirm the repair level, wear appropriate tools, and reduce unnecessary preparation work, thus improving efficiency. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the structure of the intelligent monitoring device for urban underground pipe networks in the embodiments of this application;

[0040] Figure 2 This is a schematic diagram of the monitoring mechanism in the embodiments of this application;

[0041] Figure 3 This is a flowchart of steps S110-S140 of the urban underground pipeline network monitoring method in the embodiments of this application;

[0042] Figure 4 This is a flowchart of step S150 of the monitoring method in the embodiments of this application;

[0043] Figure 5 This is a flowchart of steps S210-S220 of the monitoring method in the embodiments of this application;

[0044] Figure 6 This is a flowchart of steps S310-S320 of the monitoring method in the embodiments of this application;

[0045] Figure 7 This is a flowchart of steps S410-S420 of the monitoring method in the embodiments of this application.

[0046] Reference numerals: 100, sound positioning mechanism; 200, mobile monitoring mechanism; 210, 3D camera; 220, mobile component; 221, slide rail; 222, mobile trolley; 300, monitoring mechanism; 310, vibration monitor; 320, electromagnetic flowmeter; 330, level gauge; 340, water collection tank; 400, pipeline. Implementation

[0047] The following is in conjunction with the appendix Figures 1-7 This application will be described in further detail.

[0048] This application discloses an intelligent monitoring device for urban underground pipe networks.

[0049] refer to Figure 1 The intelligent monitoring device for urban underground pipe networks includes a sound positioning mechanism 100 installed in the pipe gallery for monitoring and locating the sound of the underground pipe network 400, a mobile monitoring mechanism 200 installed in the pipe gallery for image acquisition, and a control center installed in the monitoring room above ground. The device monitors the sound in the pipe gallery in real time and compares the results with the control center. When a leak occurs, the control center controls the mobile monitoring mechanism 200 to acquire images of the leaking section and then transmits the image information to the control center. The control center determines whether there is a leak and, if a leak is detected, issues an alarm and summarizes the monitoring signals for the staff.

[0050] refer to Figure 1 and Figure 2 The pipe gallery is divided into sections of 15 meters each. The sound positioning mechanism 100 includes multiple microphones fixedly connected to the inner wall of the pipe gallery, with one microphone for each pipe section. The microphones are electrically connected to the control center through a frequency analyzer and a filter to transmit sound frequency and waveform signals to the control center. The control center is a central processing unit with a built-in computer program, and it is located in a ground-level monitoring room. The control center is also equipped with a display screen that is electrically connected. The control center contains a sound comparison module that stores the sound frequency bands and waveforms from dripping to large-area leakage. The control center is equipped with a control terminal. When a leakage is detected by sound comparison, the control terminal controls the mobile monitoring mechanism 200 to acquire video and images.

[0051] The control center is also equipped with an electrical alarm and has an image and video comparison program. When water flow is detected in the image or video, the control center will activate the alarm to alert staff and send a signal indicating the location of the leak. A red warning will be displayed on the screen along with the location of the leak.

[0052] The mobile monitoring unit 200 includes a mobile component 220, which includes multiple slide rails 221 fixedly connected to the top wall of the pipe gallery. Each slide rail 221 is slidably connected to a self-powered mobile trolley 222. The mobile trolley 222 is electrically connected to the control terminal. A 3D camera 210 is fixedly connected to the mobile trolley 222 to collect images from 360 degrees without blind spots.

[0053] A monitoring mechanism 300 is installed on the pipeline 400. The monitoring mechanism 300 includes vibration monitors 310 fixedly connected to multiple pipe sections. The vibration monitors 310 are electrically connected to the control center. The vibration monitors 310 monitor the vibration frequency of the pipeline 400 in real time. The control center has a frequency comparison module coded and pre-stores multiple frequency comparison value ranges. When the pipeline 400 vibrates at different frequency bands, the control center controls the mobile trolley 222 via the control terminal to move the 3D camera 210 to the vibrating pipe section to collect images and videos and determine whether there is a leak. When either the sound or the vibration is abnormal, images and videos are collected. The pipeline 400 is fixedly connected to... Multiple electromagnetic flowmeters 320 are installed at equal intervals along the length of the pipe 400 and correspond to each pipe segment. The electromagnetic flowmeters 320 are used to monitor the flow rate in the pipe 400. The electromagnetic flowmeters 320 are electrically connected to the control center. The control center is coded with a flow difference comparison module, which calculates the flow difference between two adjacent flowmeters and compares the leakage to determine whether it is a drip, a column flow, or a flood. When the water leakage is 0.01-0.1 cubic meters per hour, it is considered a drip; when the water leakage is 0.11-0.6 cubic meters per hour, it is considered a column flow; and when the water leakage is greater than 0.61 cubic meters per hour, it is considered a flood.

[0054] The pipe gallery has multiple water collection tanks 340 along its length. The water collection tanks 340 can be connected to the underground sewage pipes 400 through valves. The water collection tanks 340 are set on the bottom wall of the pipe gallery. A level gauge 330 is fixedly connected inside the water collection tank 340. The level gauge 330 is electrically connected to the control center and transmits the level signal to the control center. The control center determines whether it is a drip, a jet, or a flood based on the instantaneous water level change within 5 seconds, and issues alarms of different frequencies through the alarm device, and displays a red alarm on the display screen.

[0055] The implementation principle of an intelligent monitoring device for urban underground pipe networks in this application embodiment is as follows: When a leak occurs in pipe 400, a microphone collects sound or a vibration monitor 310, a flow meter, or a level gauge 330 transmits signals to the control center. The control center compares the sound, vibration frequency, instantaneous flow difference, and level change difference in sequence to determine if a leak has occurred. The control center then controls a mobile trolley 222 via a control terminal to drive a 3D camera 210 to collect images and videos along the faulty pipe section and transmits the image and video information to the control center. The control center then makes a judgment on the information. Once a leak is confirmed, it combines the instantaneous flow difference and level change difference to determine whether it is a drip, a jet, or a flood, and issues alarms of different frequencies. A red alarm is displayed on the screen along with the leak location information. When staff hear the alarm, they observe the location information and prepare tools for repair.

[0056] This application also discloses a method for monitoring urban underground pipe networks.

[0057] refer to Figure 3 and Figure 4 Urban underground pipe network monitoring method, including steps S110-S150:

[0058] S110, Acquire the sound within the utility tunnel;

[0059] Specifically, the sound inside the pipe gallery is collected in real time using a microphone, and the collected sound is transmitted to the control center.

[0060] S120. Based on the collected sound, retrieve the preset sound repository;

[0061] The sound repository stores a variety of audio frequency ranges and waveforms ranging from dripping sounds to sounds of large-area leakage;

[0062] Specifically, the stored sound waveforms can simulate various leakage sounds and record most waveforms and frequency bands. The water flow sounds between dripping and large-area seepage can be simulated in groups and multiple groups can be collected. It is not necessary to completely simulate all leakage water flow sounds. The dripping sound can be the sound of various dripping water flows, and the large-area seepage water flow can be multiple water droplets forming a water line flow or water column spraying out.

[0063] S130. Compare the collected sound with the stored sound in the sound repository to determine if the collected sound is the same as the stored sound in the sound repository. If so, issue an alarm to alert the staff and send the pipeline information.

[0064] Specifically, the waveform and frequency band of the collected sound are compared one by one with the waveform and frequency band of the stored sound in the sound repository to make a judgment. When the collected sound belongs to the stored sound in the sound repository, an alarm is triggered to alert the staff and the location information of the pipe section is sent.

[0065] S140. If not, compare the sound again to determine if the collected sound is similar to the sound stored in the sound repository; if yes, issue an alarm to alert the staff and send the pipeline section information; if no, continue to monitor the pipeline network.

[0066] Specifically, for sounds that do not belong to the sound repository, a comparison is performed again. Similarity judgment means determining whether the collected sound belongs to any frequency band or waveform range between dripping sound and large-area leakage sound. If so, an alarm is issued to alert the staff, the current pipe section location information is sent, and the collected sound is recorded in the sound repository as a stored sound for future sound comparison with other pipe sections.

[0067] S150. When an alarm is issued, the control monitoring device is moved to the source of the leak sound, obtains image information of the leak sound source, and determines whether the pipeline is leaking based on the image information. If so, the alarm is issued again and the leak location information is sent; otherwise, the alarm is turned off.

[0068] Specifically, when an alarm is triggered, the control center activates a mobile trolley via the control terminal. The trolley moves a 3D camera to the source of the leak and collects image information, including one or both of the following: 3D photos or videos. This image information is then transmitted to the control center, which analyzes the data to determine if there is a leak. If so, the control center sends the location information of the specific leak point and continues to issue the alarm. If not, the alarm is deactivated. The control center determines whether there is a leak by judging whether there is continuous dripping or water flow. If there is continuous dripping or water flow, then there is a leak.

[0069] Reference Figure 5 While performing step S110, steps S210-S220 can also be performed:

[0070] S210. Establish a flow difference database, which includes drip range threshold, column flow range threshold and torrent flow range threshold.

[0071] Specifically, the threshold for the dripping range is 0.01 m³ / h - 0.1 m³ / h, the threshold for the column flow range is 0.11 m³ / h - 0.6 m³ / h, and the threshold for the flood range is 0.61 m³ / h - maximum pipe diameter flow rate.

[0072] S220. Obtain the flow signal through the electromagnetic flow meter, calculate the change difference of the flow signal at two close locations, compare the flow change difference with multiple range thresholds in the flow difference database, and determine whether the flow difference falls within the dripping range threshold, column flow range threshold, or flood flow range threshold. If so, issue an alarm, and the alarm sound frequency increases sequentially; otherwise, continue monitoring the pipeline network.

[0073] Specifically, the flow signals obtained by the electromagnetic flowmeters of the two pipe sections are compared, and the difference between the two flow signals is calculated to obtain the leakage flow rate. It is determined whether the leakage flow rate falls within the dripping range threshold, the column flow range threshold, or the flood range threshold. The dripping range threshold corresponds to a dripping alarm every three seconds, the column flow range threshold corresponds to a dripping alarm every second, and the flood range threshold corresponds to a dripping alarm every five seconds. The alarm sound can also be other sounds such as tapping or beeping, or alarms corresponding to three different sounds at different frequencies can be used.

[0074] After step S220 is completed, step S150 can be executed again.

[0075] Reference Figure 6While performing step S110, steps S310-S320 can also be performed:

[0076] S310. Establish a water level difference database, which contains various instantaneous water level differences. These instantaneous water level differences are categorized into dripping water level difference range thresholds, column flow water level difference range thresholds, and flood flow water level difference range thresholds.

[0077] Specifically, a water level difference database is established, with the threshold range for dripping water level difference being 0.01 m³ / h - 0.1 m³ / h, the threshold range for column flow water level difference being 0.11 m³ / h - 0.6 m³ / h, and the threshold range for flood flow water level difference being 0.61 m³ / h - maximum pipe diameter flow rate.

[0078] S320. The water level signal in the pipe gallery is obtained through the monitoring device, and the instantaneous difference of the water level within 5 seconds is obtained. The instantaneous difference is compared with the instantaneous difference in the water level difference database to determine whether the instantaneous difference of the water level falls within the threshold range of dripping water level difference, column flow water level difference, or flood flow water level difference.

[0079] If the water level difference falls within the threshold range of dripping water level difference, an alarm will be issued to notify staff; if the water level difference falls within the threshold range of column flow water level difference, an alarm will be issued to notify staff to carry out repairs; if the water level difference falls within the threshold range of flood flow water level difference, an emergency water supply will be shut off, and the pipe gallery will be triggered to drain water into the city's sewage pipes, and an alarm will be issued to notify staff to carry out repairs.

[0080] Step S220 can be executed simultaneously while step S320 is being executed, and step S150 is executed after step S320 is completed.

[0081] Specifically, if the instantaneous difference in water level falls within the threshold range of the dripping water level difference and the difference in flow signal change falls within the threshold range of the dripping range, or if one of them occurs simultaneously, it indicates that a dripping situation has occurred. In this case, an alarm will be issued to notify the staff, trigger image acquisition, judge and confirm the dripping situation, and select a time period for repair based on water demand.

[0082] If the instantaneous difference in water level falls within the threshold range of column flow water level difference, it indicates a column flow leakage situation. An alarm is issued to notify the staff, triggering image acquisition, judging and determining the column flow situation, observing the changes in the electromagnetic flowmeter before and after, and selecting a time period for maintenance based on water demand or calculating the loss based on the column flow rate to decide whether to carry out maintenance at this time.

[0083] If the instantaneous difference in water level falls within the threshold range of column flow water level difference and the difference in flow rate signal change falls within the threshold range of column flow at the same time, it indicates that the column flow situation is fixed and the water flow is large. In this case, image acquisition is not required. Instead, a water outage warning can be triggered and sent to users in the area. An alarm will be issued to notify staff to carry out maintenance and to control the pipeline to stop water supply within half an hour.

[0084] If the instantaneous difference in water level falls within the threshold range of flood water level difference, or the difference in flow signal changes falls within the threshold range of flood, or if one of these occurs simultaneously, it is necessary to immediately shut off the water supply to the pipeline section, trigger the drainage from the pipeline corridor to the city's sewage pipeline, and issue an alarm to notify staff to carry out emergency repairs.

[0085] Reference Figure 7 While performing step S210, steps S410-S320 can also be performed:

[0086] S410. Establish a vibration frequency library, which records the vibration frequencies of a complete pipeline under various pipe diameters and flow rates.

[0087] S420. Monitor the vibration frequency of the pipeline and retrieve the corresponding vibration frequency from the vibration frequency library based on the flow rate value of the electromagnetic flowmeter on the pipeline. Compare the detected vibration frequency with the detected vibration frequency. If the detected vibration frequency is 3 Hz greater than the retrieved vibration frequency, it indicates that the pipeline is damaged. The control center generates a frequency difference report, activates the alarm, and displays a pending task in a different color on the display screen. The report is stored in the pending task.

[0088] Specifically, when the monitored vibration frequency is greater than the retrieved vibration frequency by 3 Hz, it indicates pipeline damage. The control center generates a frequency difference report for recording and displays a pending task on the screen. The colors of the pending tasks are blue, yellow, orange, and red, corresponding to safe, normal, serious, and extremely serious, respectively. The color rules for generating pending tasks are as follows: blue for vibration frequency difference between 3 Hz and 8 Hz, yellow for vibration frequency difference between 8.1 Hz and 13 Hz, orange for vibration frequency difference between 13.1 Hz and 15 Hz, and red for vibration frequency difference between 15 Hz and 25 Hz. This is combined with a high-frequency alarm when a flood occurs.

[0089] After performing step S420, step S150 can be performed again.

[0090] The steps S110-S150, S210-S220, S310-S320 and S410-S420 mentioned above can be performed in an overlapping manner, simultaneously, or selectively.

[0091] The implementation principle of the urban underground pipe network monitoring method in this application embodiment is as follows: by monitoring and tracking changes in sound, pipe vibration frequency, flow rate and water level, the actual leakage situation of the pipe network is determined, and the leakage level is determined in real time. This prompts staff to formulate corresponding measures to reduce the impact on domestic water use, reduce the waste of water resources, and achieve accurate location of the leakage point.

[0092] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for monitoring urban underground pipe networks, characterized in that, include: Acquire sound within the utility tunnel; Based on the collected sound, a preset sound repository is retrieved; The sound storage repository contains stored sound of various audio frequency ranges and waveforms ranging from dripping sounds to sounds of large-area leakage; The collected sound is compared with the sound stored in the sound repository to determine if they are the same. If they are, an alarm is issued to alert the staff and the pipeline section information is sent. If not, the monitoring of the pipeline network continues. If not, compare the sound again to determine whether the collected sound is similar to the sound stored in the sound repository. If yes, an alarm will be issued to alert staff and pipe section information will be sent; if no, monitoring of the pipe network will continue. When an alarm is issued, the control monitoring device moves to the source of the leak sound, acquires image information of the leak sound source, and determines whether the pipeline is leaking based on the image information. If so, the alarm continues to be issued and the leak location information is sent. If not, turn off the alarm; The urban underground pipeline network monitoring method also includes: Establish a flow difference database, which includes drip range threshold, column flow range threshold, and torrent flow range threshold; Calculate the difference in flow rate changes between two closely spaced flow rate signals, compare the difference with multiple range thresholds in the flow rate difference database, and determine whether the flow rate difference falls within the dripping range threshold, column flow range threshold, or flood flow range threshold. If so, issue an alarm with the alarm sound frequency increasing sequentially; otherwise, continue monitoring the pipeline network. The urban underground pipeline network monitoring method also includes: A water level difference database is established, which contains various instantaneous water level differences. These instantaneous water level differences are categorized into threshold ranges for dripping water level differences, column flow water level differences, and flood flow water level differences. The system acquires the water level signal inside the pipe gallery and obtains the instantaneous difference of the water level within 5 seconds. It then compares the acquired instantaneous difference with the instantaneous difference in the water level difference database to determine whether the instantaneous difference falls within the threshold range of dripping water level difference, column flow water level difference, or flood flow water level difference. If the water level difference falls within the threshold range of dripping water level difference, an alarm will be issued to notify staff; if it falls within the threshold range of column flow water level difference, an alarm will be issued to notify staff to carry out repairs; if it falls within the threshold range of flood flow water level difference, an emergency water supply will be shut off, and the pipe gallery will be triggered to drain water into the city's sewage pipes, and an alarm will be issued to notify staff to carry out repairs.

2. An intelligent monitoring device for urban underground pipe networks, applicable to the intelligent monitoring method for urban underground pipe networks as described in claim 1, comprising a sound positioning mechanism (100) installed in a pipe gallery and a control center, wherein the sound positioning mechanism (100) is electrically connected to the control center, characterized in that, A mobile monitoring device (200) is installed inside the utility tunnel. The mobile monitoring device (200) includes a 3D camera (210) and a mobile component (220). The 3D camera (210) slides inside the utility tunnel via the mobile component (220) and is used to monitor a section of the pipeline network. The 3D camera (210) is electrically connected to the control center, and the mobile component (220) is electrically connected to the control center. After receiving a water leakage sound signal, the control center controls the mobile component (220) to move the 3D camera (210) to the sound source to collect images and confirm whether there is a water leakage. The control center summarizes the monitoring signals and alerts the monitoring personnel. A monitoring mechanism (300) is installed on the pipeline (400) of the pipeline network. The monitoring mechanism (300) includes a vibration monitor (310). Multiple vibration monitors (310) are spaced apart along the length of the pipeline (400). The vibration monitors (310) are electrically connected to the control center. The monitoring mechanism (300) also includes an electromagnetic flow meter (320), and multiple electromagnetic flow meters (320) are arranged at intervals along the pipeline (400). The electromagnetic flow meters (320) are electrically connected to the control center. The monitoring mechanism (300) also includes a level gauge (330) and a water collection tank (340). Multiple water collection tanks (340) are provided in the pipe gallery and are equally spaced along the length of the pipe gallery. The level gauge (330) is located in the water collection tank (340) and is electrically connected to the control center.

3. The intelligent monitoring device for urban underground pipe networks according to claim 2, characterized in that, The moving component (220) includes a slide rail (221) and a moving trolley (222). The slide rail (221) is located inside the pipe gallery and is arranged along the length of the pipe gallery. The moving trolley (222) slides on the slide rail (221). The 3D camera (210) is located on the moving trolley (222).

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