Drainage pipe obstruction identification and positioning method and system

Abstract

The present invention relates to the field of underground drainage pipe network engineering technology, and provides a method and system for identifying and locating drainage pipe blockage, including obtaining the sewage liquid level in the drainage pipe through liquid level monitoring at key nodes of the drainage pipe network, collecting data from each liquid level meter in real time, pre-processing the data, and performing differential calculations on the time series data of the liquid level change to achieve the steps of blockage identification and positioning. While monitoring the state of the pipeline, the present invention can be combined with a flow meter to identify and locate the water inlet point where groundwater seeps into the sewage pipeline due to a damaged pipeline, as well as the points where rainwater and sewage are mixed or industrial wastewater is privately connected, thereby providing strong protection for the operation of the drainage pipe. The present invention can accurately and efficiently identify the location information of the blockage point, and present it visually, providing great convenience for drainage pipe operation and maintenance personnel.

Description

Technical Field

[0001] This invention relates to the field of underground drainage pipe network engineering technology, specifically to a method and system for identifying and locating blockages in drainage pipes. Background Technology

[0002] As a vital channel for sewage transportation, the stable operation of drainage pipes is crucial. However, during operation, domestic waste, silt, and other obstructions can easily enter the drainage pipes, causing blockages and sediment buildup, leading to sewage overflows, environmental pollution, and even public health problems. Furthermore, improper design and selection of pipe laying methods, pipe diameters, fill levels, slopes, and pipe materials can also cause blockages, sediment buildup, and leaks. Existing monitoring methods primarily rely on closed-circuit television video surveillance, laser profilometry, pipeline robots, and acoustic-based instruments such as ultrasonic and sonar devices for anomaly diagnosis in drainage pipes.

[0003] In recent years, machine learning-based research methods such as qualitative trend analysis, random forests, and support vector machines have made some progress when combined with drainage pipeline monitoring devices. While closed-circuit video surveillance can clearly present the internal conditions of pipelines, it relies on human judgment and is therefore heavily influenced by the subjective factors of monitoring personnel. Laser profilometry, which obtains a 3D model of the pipeline for diagnosis, struggles to capture the true condition when water is present. Pipeline robots can perform visual testing, non-destructive testing, and pipeline repair, but the complex environment within pipelines presents significant challenges. Acoustic-based pipeline monitoring methods can reveal the acoustic characteristics of complex pipeline conditions, but these methods are limited by the methods used to extract faults from acoustic signals, and the distinguishability between fault features is low. Due to their inherent limitations, various machine learning methods require further research. Summary of the Invention

[0004] To address the problems existing in the background technology, this invention provides a method and system for identifying and locating blockages in drainage pipelines. It utilizes a level gauge to monitor the liquid level in inspection wells in real time and analyzes the changing patterns of the liquid level data to locate the blockage points and silted sections of the pipeline. This invention can quickly and accurately identify and locate blockage and siltation points, ensuring the stable operation of drainage pipelines. A method for identifying and locating blockages in drainage pipelines includes the following steps:

[0005] S1: Install several level gauges in sections on the drainage pipe to be tested, denoted as LG1, LG2…LGi…LGn;

[0006] S2: Real-time acquisition of liquid level data from LG1 to LGn and preprocessing of the data;

[0007] S3: Perform differential calculations on the time series of preprocessed LG1~LGn liquid level data changes, and identify and locate blockages based on the calculation results; the specific process includes:

[0008] A. If LTi has a negative differential value in the liquid level time series, and as time goes on, LG(i+1) to LGn successively have negative differential values ​​in the liquid level time series, then it is determined that the blockage point / pipe segment is before LTi.

[0009] B. If LTi has a large positive differential value in the liquid level time series, and as time goes on, LG(i+1) to LGn successively have negative differential values ​​in the liquid level time series, then it is determined that the blockage point / pipe segment is after LTi and is relatively close to LTi.

[0010] C. If the LGe level does not change significantly, and as time goes on, the differential values ​​of the liquid level time series from LG(i+1) to LGn successively become negative, then the blockage point / pipe segment is determined to be between LGe and LG(i+1).

[0011] In step S3, the time series of changes in the preprocessed LG1 to LGn liquid level data is differentially calculated. The specific process of differential calculation is as follows: the sewage liquid level measured by the level gauge LChi at time T1 is h1. When the sampling frequency is set to t seconds, the sewage liquid level measured at time T2 after t seconds is h2. Then the differential value of the liquid level of the level gauge LChi at time T1 is (h2-h1) / t, which reflects the liquid level change trend of the level gauge LChi after time T1.

[0012] Furthermore, in step S1, the distance between adjacent level gauges Lgi and LG(i+1) on the same drainage pipe is less than 50 meters.

[0013] In step S2, the liquid level gauge data is preprocessed based on historical statistical data analysis to remove liquid level change data caused by normal water volume fluctuations.

[0014] A drainage pipe blockage identification and location system includes an online monitoring instrument and a programmable logic controller; wherein:

[0015] The online monitoring instruments include several level gauges and flow meters installed on the drainage pipe;

[0016] The programmable logic controller is equipped with analog signal input terminals, a signal input integrated unit, an I / O integrated unit, a TCP / IP port, a signal output integrated unit, a main power control switch, an AC / DC power adapter, a microcomputer, and an industrial router; wherein: the input terminals are used to collect monitoring data transmitted by the level gauge and flow meter, and transmit it to the microcomputer via the I / O integrated unit and the TCP / IP port;

[0017] The microcomputer is equipped with a blockage identification and location data processing program.

[0018] The microcomputer and industrial router in the programmable logic controller constitute a remote transmission module, wherein the microcomputer is used for data processing and remote transmission, and the industrial router is used to connect to the network transmission medium.

[0019] It also includes a cloud service device, wherein the programmable logic controller is equipped with a remote transmission module, which uploads drainage pipeline monitoring data and blockage identification and location judgment results to the cloud service system.

[0020] The cloud service system is equipped with a mobile terminal, which allows users to connect to the cloud service device and obtain the obstruction identification and location judgment results.

[0021] The beneficial effects achieved by this invention are as follows:

[0022] First, traditional drainage pipeline operation and maintenance relies on nearby residents reporting blockages and sewage overflows to relevant departments for dredging and unblocking. This method is time-consuming and poses a risk of public health hazards. In contrast, this invention can promptly detect blockages and silted sections in the pipeline and automatically trigger alarms, ensuring the stable operation of the drainage pipeline.

[0023] Secondly, this invention mainly serves the identification and location of blockages in drainage pipes, and can visualize the location information of blockage points, providing clear and concise results and great convenience for drainage pipe maintenance personnel.

[0024] Third, while monitoring the condition of the pipeline, this invention can also identify and locate the inlet point of groundwater seeping into the sewage pipeline due to pipeline damage, as well as the location of points where rainwater and sewage are mixed or where industrial wastewater is illegally connected, thus providing strong protection for the operation of the drainage pipeline.

[0025] Fourth, the online monitoring instruments and programmable logic controllers used in this invention are all existing mature market products, which are easy to install and have stable performance. Therefore, the hardware device of this invention has good reliability.

[0026] Fifth, the remote transmission module of this invention can transmit operational data to the cloud, allowing staff to view the system's operational performance in real time and trigger alarms when abnormalities occur in the drainage pipes, thereby improving operational reliability and enabling system optimization. Attached Figure Description

[0027] Figure 1 This is a flowchart of the drainage pipe blockage identification and location method of the present invention;

[0028] Figure 2This is a detailed flowchart of a drainage pipe blockage identification and location method according to the present invention;

[0029] Figure 3 This is a diagram of the control cabinet assembly;

[0030] Figure 4 This is a diagram of a pilot-scale experimental setup for identifying blockages in drainage pipes.

[0031] Figure 5 This is a diagram showing the liquid level change in well 1 after the blockage was added to well 2;

[0032] Figure 6 This is a diagram showing the liquid level changes in well 4 after the blockage was added to well 5;

[0033] Figure 7 This is a diagram showing the liquid level changes in well 2 after the blockage was added to well 3;

[0034] Figure 8 This is a diagram showing the liquid level changes in inspection wells 4 and 6 after the blockage was added to inspection well 2;

[0035] Figure 9 This is a diagram showing the liquid level changes in inspection wells 4 and 6 after the blockage was added to inspection well 3;

[0036] Figure 10 This is a diagram showing the liquid level changes in inspection wells 5 and 6 after the blockage was added to inspection well 4;

[0037] Figure 11 This is a diagram of the field experimental system;

[0038] Figure 12 yes Figure 11 LG1 level gauge level change graph;

[0039] Figure 13 yes Figure 11 LG2 level gauge level change graph.

[0040] Numbering on the map:

[0041] 2. Electrical control cabinet; 3. Control center; 4. Flow meter reading; 5. Liquid level gauge reading; 6. Blockage identification and location program; 7. Power module; 8. Liquid level gauge; 9. High-level water tank; 10. Water tank switch; 11. Signal transmission line; 12. Drainage pipe; 13. Bar screen; 14. Flow meter; 15. Sewage treatment facilities; 16. Sewage treatment station; 17. Inspection well. Detailed Implementation

[0042] To facilitate understanding of the present invention by those skilled in the art, specific embodiments of the present invention will be described below with reference to the accompanying drawings.

[0043] Example 1:

[0044] Reference Figure 3 , 4 A drainage pipe blockage identification and location system 12 includes an online monitoring instrument 1 and a programmable logic controller; wherein:

[0045] The online monitoring instrument 1 includes several level gauges 8 and flow meters 14 installed on the drainage pipe 12;

[0046] The programmable logic controller is equipped with analog signal input terminals, a signal input integrated unit, an I / O integrated unit, a TCP / IP port, a signal output integrated unit, a main power control switch, an AC / DC power adapter, a microcomputer, and an industrial router; wherein: the input terminals are used to collect monitoring data transmitted by the level gauge 8 and the flow meter 14, and transmit it to the microcomputer via the I / O integrated unit and the TCP / IP port;

[0047] The microcomputer is equipped with a blockage identification and location data processing program.

[0048] The microcomputer and industrial router in the programmable logic controller constitute a remote transmission module, wherein the microcomputer is used for data processing and remote transmission, and the industrial router is used to connect to the network transmission medium.

[0049] It also includes a cloud service device. The programmable logic controller is equipped with a remote transmission module, which uploads the monitoring data of the drainage pipe 12 and the blockage identification and location judgment results to the cloud service system.

[0050] The cloud service system is equipped with a mobile terminal, which allows users to connect to the cloud service device and obtain the obstruction identification and location judgment results.

[0051] Implementation 2:

[0052] The specific idea behind the drainage pipe blockage identification and location method of the present invention is as follows:

[0053] Step 1: Obtain the sewage level in the drainage pipes by monitoring the liquid level at key nodes of the drainage pipe network;

[0054] Step 2: After extracting the sewage level data, the data is preprocessed, and the level change data caused by normal fluctuations in the water volume in the pipeline is removed based on the qualitative trend analysis method.

[0055] Step 3: Perform differential calculation on the time series data of liquid level change. If a liquid level differential value is a large positive value and the liquid level differential value of its downstream adjacent liquid level monitoring point is negative, then it is determined that the pipe section between the two liquid level monitoring points is blocked, thereby realizing the blockage identification and location.

[0056] Step 4: Send the number of the blocked pipe section to the control center, and the staff will clean up the blocked pipe section.

[0057] Specific implementation methods include:

[0058] S1: Install several level gauges in sections on the drainage pipe to be tested, denoted as LG1, LG2…LGi…LGn;

[0059] S2: Real-time acquisition of liquid level data from LG1 to LGn and preprocessing of the data;

[0060] S3: Perform differential calculations on the time series of changes in the preprocessed LG1~LGn liquid level data, and determine the blockage location based on the calculation results.

[0061] Step 1 consists of an online monitoring system composed of level gauges installed at the inspection wells of underground drainage pipes. Steps 2 and 3, which involve identification and positioning processes executed by a computer program, together form a drainage pipe blockage identification and positioning system. This system ensures that sewage can be discharged smoothly and avoids problems such as sewage overflow caused by blockage and siltation in drainage pipes.

[0062] Example 3:

[0063] This invention provides a method for identifying and locating blockages in drainage pipes 12 based on pilot-scale experiments in fluid mechanics.

[0064] The experiment uses PVC pipes as drainage pipes 12, and the pipe parameters are shown in Table 1. Inspection wells 17 (a total of 7) are installed at pipe bends and diameter changes. Level gauges 8 are installed in a movable manner (a total of 3). LG1 monitors the liquid levels of three inspection wells 17 (JC1, JC2, and JC3), LG2 monitors the liquid levels of two inspection wells 17 (JC4 and JC5), and LG3 monitors the liquid levels of two inspection wells 17 (JC6 and JC7). The spacing between adjacent inspection wells is shown in Table 2. A high-level water tank 9 supplies water to the drainage pipes 12, and the tank contains domestic sewage from the wastewater treatment plant. The flow rate is adjusted by changing the opening degree of the water tank switch 10, while simultaneously maintaining a constant liquid level to ensure stable flow. Real-time data from level gauges 8 and flow meters 14 are displayed in real-time on the level gauge reading 5 and flow meter reading 4 in the electrical control cabinet 2, and are powered by the power module 7.

[0065] Table 1: Parameter Table for Drainage Pipeline 12

[0066]

[0067] Table 2: Spacing of Inspection Wells 17

[0068]

[0069] The specific process includes the following steps:

[0070] 1. Turn on the power switch and the water outlet switch 10 of the high-level water tank 9, and adjust the flow rate to 1m³ / h. 3 / h;

[0071] 2. Insert obstructing materials sequentially into inspection wells JC2 through JC7, and record the insertion of obstructing materials during inspection.

[0072] Time inside the well;

[0073] 3. Remove the obstruction five minutes after it is inserted into the inspection well, and record the removal time.

[0074] 4. Preprocess the experimental data and analyze the changes in liquid level before and after the addition of the blockage material;

[0075] 5. Adjust the flow rate to 2m³ / min in sequence. 3 / h,3m 3 / h,4m 3 / h,5m 3 / h,6m 3 / h,7m 3 / h,8m 3 / h,9m 3 / h,10m 3 / h;

[0076] 6. Repeat steps 2-4 above;

[0077] Based on a flow rate of 1m 3 / h to 10m 3 The hourly liquid level changes before and after the blockage injection point were processed, and the results are as follows: Figures 5 to 10 ,in Figure 5 This involves monitoring the fluid level changes in well JC1 after the blockage material was added to well JC2. Figure 6 The change in liquid level at JC4 is due to the addition of blockage material to JC5. Figure 7 The change in liquid level is due to the addition of obstruction JC3 to JC2. By comparing the patterns of change in the liquid level gauge data, [further analysis is needed]. Figure 5 Figure 6 Analysis of the two graphs reveals that when the blockage point is downstream of and close to the level gauge, the level gauge reading of 5 upstream of the blockage point shows a rise in level for a period after the blockage is added; according to Figure 7 It can be seen that when the level gauge is far from the blockage point, there will be no significant change in the data. Figure 8 The changes in fluid levels in inspection wells JC2 and JC4 and JC6 are due to the addition of blockage material. Figure 9 The issue is the change in fluid levels at inspection wells JC4 and JC6 after the addition of blockage material to well JC3. Figure 10 Analysis of the liquid level changes at TC5 and JC6 after the addition of blockage material at JC4. Figure 8 , Figure 9 , Figure 10The following pattern can be observed in the level gauge readings after the blockage point: the level gauge readings closer to the blockage point decrease first, and then the level gauge readings farther from the blockage point show a decrease. Based on this, the following conclusions can be drawn:

[0078] 1. If the liquid level of LGe decreases, and as time goes on, the liquid levels of LG(i+1) to LGn decrease sequentially, then the blockage point / pipe segment is determined to be before LGe.

[0079] 2. If the liquid level of LGe rises and the liquid levels of LG(i+1) to LGn decrease sequentially over time, then the blockage point / pipe segment is determined to be after LGe and close to LGe.

[0080] 3. If the LGe liquid level does not change significantly, and the liquid levels of LG(i+1) to LGn decrease sequentially over time, then the blockage point / pipe segment is determined to be between LGe and LG(i+1).

[0081] If any of the above three situations occur, and the liquid level returns to its previous state after a period of time, or if several liquid level gauges repeatedly exhibit the above situation at different time periods, then it can be determined that the corresponding pipe section is blocked and silted up.

[0082] To further clarify the changes in sewage level before and after blockage and siltation, qualitative trend analysis was used to preprocess the level data acquired by the level gauge. Data causing level changes due to normal flow fluctuations was removed, and the time-series level change data was differentially calculated. Based on the changes in the differential values ​​of the level time series, the following conclusions can be drawn:

[0083] A. If LTi has a negative differential value in the liquid level time series, and as time goes on, LG(i+1) to LGn successively have negative differential values ​​in the liquid level time series, then it is determined that the blockage point / pipe segment is before LTi.

[0084] B. If LTi has a large positive differential value in the liquid level time series, and as time goes on, LG(i+1) to LGn successively have negative differential values ​​in the liquid level time series, then it is determined that the blockage point / pipe segment is after LTi and is relatively close to LTi.

[0085] C. If the LGe level does not change significantly, and as time goes on, the differential values ​​of the liquid level time series from LG(i+1) to LGn successively become negative, then the blockage point / pipe segment is determined to be between LGe and LG(i+1).

[0086] Example 4:

[0087] Based on the pilot-scale experiment of fluid dynamics blockage identification, a production-scale verification experiment of blockage identification was conducted in a village in a certain city. Level gauges were installed at the end of the main drainage pipeline and at the screen 13 to identify and locate blockage points in the drainage pipeline 12 and monitor the blockage of the screen 13. Village sewage is collected through the drainage pipeline 12, passes through the screen, and is then transported to the sewage treatment facility 15 for treatment. Simultaneously, a flow meter 14 monitors the flow rate entering the sewage treatment plant 16 in real time. This identifies and locates blockage and siltation points and sections in the village drainage pipeline 12, ensuring the stable operation of the village drainage pipeline 12. The monitoring device includes level gauges and flow meters 14, and their locations are as follows: Figure 11 Monitoring data such as Figure 12 and 13 .

[0088] pass Figure 12 The LG1 level gauge monitors the changes in sewage level and found a significant rise in the level. Combined with the fact that the two level gauges upstream did not show significant changes in the level before that time period, it can be inferred that there is a blocked and silted pipe section upstream of the downstream screen 13 of the level gauge, which was confirmed by on-site observation.

[0089] pass Figure 13 The liquid level change of level gauge LG2 shows a significant increase, and combined with the fact that the two upstream level gauges do not show significant changes, it can be inferred that there is a blockage and siltation section of drainage pipe 12 at a relatively close location (<5m) downstream of level gauge LG2, which has been confirmed.

[0090] The above embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for identifying and locating a drainage pipe obstruction, characterized in that: It includes the following steps: S1: Several level gauges are arranged in sections on the drainage pipe to be tested, which are recorded as LG1, LG2…LGi…LGn; S2: collect the liquid level data of LG1~LGn in real time and pre-process the data; S3: Perform differential calculation on the time series of the pre-processed LG1~LGn liquid level data changes, and perform blockage identification and positioning judgment based on the calculation results; the specific process includes: A. If the differential value of the liquid level time series of LGi is negative, and as time goes by, the differential values ​​of the liquid level time series of LG(i+1)~LGn are negative in sequence, then it is judged that the blocking point / pipe section is before LGi; B. If the differential value of the liquid level time series of LGi is positive and large, and as time goes by, the differential values ​​of the liquid level time series of LG(i+1)~LGn are negative, then it is judged that the blocking point / pipeline section is after LGi and is close to LGi; C. If the liquid level of LGi does not change significantly, and as time goes by, the differential values ​​of the liquid level time series of LG(i+1)~LGn appear to be negative, then it is judged that the blocking point / pipeline section is between Lgi and LG(i+1); The specific process of the differential calculation is as follows: the sewage level value measured by the level gauge LGI at time T1 is h1. When the sampling frequency is set to t seconds, the sewage level value measured at time T2 after t seconds is h2. The liquid level differential value of the level gauge LGI at time T1 is (h2-h1) / t, which reflects the liquid level change trend of the level gauge LGI after time T1.

2. A method for identifying and locating a drainage pipe obstruction according to claim 1, characterized in that: In step S1, the distance between adjacent liquid level gauges Lgi and LG(i+1) on the same drainage pipe is less than 50 meters.

3. A method for identifying and locating a drainage pipe obstruction according to claim 1, characterized in that: In step S2, the liquid level meter data is preprocessed based on the historical statistical data analysis method to eliminate the liquid level change data caused by normal water volume fluctuations.

4. A drainage pipe obstruction identification and positioning system, characterized in that: It includes online monitoring instruments and programmable logic controllers; among which: The online monitoring instrument includes a number of liquid level meters and flow meters installed on the drainage pipe; The programmable logic controller is provided with an analog signal input terminal, a signal input integrated unit, an I / O integrated unit, a TCP / IP port, a signal output integrated unit, a power master control switch, an AC / DC power adapter, a microcomputer, and an industrial router; wherein: the input terminal is used to collect the monitoring data transmitted by the liquid level meter and the flow meter, and transmit it to the microcomputer via the I / O integrated unit and the TCP / IP port; The microcomputer is provided with a blocking identification and positioning data processing program.

5. A drainage pipe obstruction identification and positioning system according to claim 4, characterized in that: The microcomputer and industrial router in the programmable logic controller constitute a remote transmission module, wherein the microcomputer is used for data processing and remote transmission, and the industrial router is used for connecting to a network transmission medium.

6. A drainage pipe obstruction identification and positioning system according to claim 5, characterized in that: It also includes a cloud service device. The programmable logic controller is provided with a remote transmission module, and the remote transmission module uploads the drainage pipe monitoring data and the blockage identification and positioning judgment results to the cloud service device.

7. A drainage pipe obstruction identification and positioning system according to claim 6, characterized in that: The cloud service system is equipped with a mobile terminal, and the user connects to the cloud service device through the mobile terminal to obtain the blockage identification and positioning judgment results.

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