On-line monitoring system and comprehensive diagnosis method for defects of river-crossing pipeline
By adopting a multi-probe online monitoring system and comprehensive diagnostic methods in the crossing sewage pipeline, the problem of crossing the river pipeline defect detection in complex environments is solved, and efficient and accurate detection results are achieved.
Patent Information
- Application Number
- CN202510165452.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-14
- Publication Date
- 2025-06-06
AI Technical Summary
The prior art is difficult to efficiently and accurately detect defects in river-crossing sewage pipelines in complex environments, resulting in frequent misjudgment and misjudgment.
An online monitoring system is adopted, including at least 3 monitoring probes. Through sewage balance analysis, pollutant chemical mass balance and characteristic factor analysis, combined with adjustable fixing frames and protective components, the efficient and accurate diagnosis of crossing river pipelines is achieved.
It improves the accuracy and efficiency of crossing pipeline defect detection, reduces misjudgment and misjudgment, and is suitable for crossing pipeline detection in complex environments.
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Figure CN120106772A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of river-crossing sewage pipe detection, and in particular to an online monitoring system and a comprehensive diagnosis method for river-crossing pipe defects. Background Art
[0002] The quality improvement and efficiency enhancement of urban sewage treatment systems restricts the long-term improvement of urban water environment and sustainable urban development. Among them, the defect problem of sewage pipe network is one of the main reasons affecting the quality improvement and efficiency enhancement of sewage treatment systems, so the diagnosis and investigation of sewage pipe network defects is very important. However, the defects of sewage pipe networks built underground are difficult to be found due to their concealment and complexity, so it is common for pipe networks to operate with defects. As a typical difficult pipe section, the defects of sewage pipes across rivers, especially the infiltration of river water, will significantly increase the flow of sewage pipe networks, reduce the influent concentration of sewage treatment plants, and increase the operating load and operating costs of sewage treatment plants.
[0003] Sewage pipe network inspection usually requires blocking and drainage first, and then select appropriate monitoring technologies such as closed-circuit television monitoring system (CCTV detection), pipeline periscope detection (QV detection) and other technologies for detection according to the actual situation of the sewage pipe. Compared with general sewage pipes, the external environment of river-crossing sewage pipes is more complex, and factors such as flow velocity, flow rate and distance will affect them. Therefore, the drainage work of river-crossing pipes is difficult, costly and has high safety risks, which makes its defect detection very difficult. However, as an important channel in the sewage pipe network system, the defects of river-crossing pipes will have a serious adverse impact on the sewage pipe network system. Therefore, it is particularly important to reasonably and effectively select pipeline detection methods and diagnose pipeline defects in a timely manner.
[0004] At present, there are many methods for diagnosing external water in the pipeline network, including water balance method, isotope method, water quality characteristic factor method such as chemical oxygen demand, electrical conductivity, etc., and the different diagnostic accuracy and application scope of different methods make it difficult for a single diagnostic method to accurately diagnose defects in cross-river pipelines, which may result in misjudgment or missed diagnosis.
[0005] For example, CN115012501A discloses a detection system and method for drainage pipe network defects. This system uses algae-containing river water as a characteristic water body to fill the rainwater pipe. By observing the changes in the water level in the sewage inspection well and detecting the changes in the chlorophyll a concentration, it determines the existence of a mixed system and the degree of smoothness of the mixed system. This method does not provide only two characteristic factors, water level and chlorophyll a, and does not give an accurate measurement standard. Obviously, the detection efficiency and accuracy are relatively limited, and it is not suitable for the detection of river crossing pipe defects in special and complex environments.
[0006] CN117739202A discloses a sewage pipe defect detection device, comprising a pipe part, a detection unit, a detection component arranged inside the pipe part for detecting the pipe part, a cleaning component arranged on one side of the detection component for cleaning the inner wall of the pipe part between detections, a propulsion unit, a driving component for propelling the detection unit forward along the pipe part, and a supporting component arranged on the outside of the driving component for supporting the detection unit; the detection device has a complex structure and is not easy to operate, and it uses a camera for shooting and detection, so the detection accuracy is poor. It is not suitable for the detection of defects in river crossing pipes in special and complex environments, and is prone to misjudgment and missed judgment.
[0007] Therefore, for sewage pipes crossing rivers in complex environmental conditions, it is urgent to develop an online monitoring system and comprehensive diagnostic method that is both efficient and convenient to avoid difficulties in defect inspection, misjudgment or missed defects, so as to achieve accurate and rapid diagnosis of defects in sewage pipes crossing rivers. Summary of the invention
[0008] In order to solve the above technical problems, the present invention provides an online monitoring system and a comprehensive diagnosis method for defects in cross-river pipelines. Based on sewage volume balance analysis and calculation, pollutant chemical mass balance and characteristic factor analysis, with the help of an online monitoring system, a systematic study is carried out on the defect problems of cross-river sewage pipe networks, and the defect problems are efficiently and accurately diagnosed, thereby solving the problem of difficulty in defect inspection and improving the detection efficiency of cross-river pipelines.
[0009] To achieve this object, the present invention adopts the following technical solutions:
[0010] In a first aspect, the present invention provides an online monitoring system for defects in a river-crossing pipeline, the online monitoring system comprising a monitoring component, a power supply component, a signal transmission component and a remote terminal platform connected in sequence;
[0011] The monitoring component includes at least three monitoring probes, for example, 3, 4, 5 or 6.
[0012] The online monitoring system for river crossing pipeline defects provided by the present invention is designed such that the monitoring component includes at least three monitoring probes, so as to realize simultaneous monitoring of at least three or even multiple characteristic factors. Compared with the traditional monitoring probes with a single characteristic factor, the detection efficiency is improved, and the problem of misjudgment or omission of the river crossing pipeline defects due to a single characteristic factor is avoided, and the problem that the river crossing passage is difficult to monitor due to its complexity is solved. In addition, the online monitoring system has a high degree of integration, a compact structure, and is easy to install.
[0013] Preferably, the monitoring component includes 4 monitoring probes.
[0014] Preferably, the monitoring probes include a chlorophyll a monitoring probe, a chemical oxygen demand monitoring probe, a conductivity monitoring probe and a liquid level monitoring probe.
[0015] Preferably, the online monitoring system is further provided with an adjustable fixing frame.
[0016] The present invention further preferably provides an adjustable fixing frame, which is conducive to adjusting the depth of the monitoring component entering the inspection well to meet the monitoring of sewage quality at different depths of the river crossing pipeline, making the installation of the online monitoring system more flexible and applicable to a wider range.
[0017] Preferably, the adjustable fixing frame is fixed or the length of the fixing frame is adjusted by fixing screws.
[0018] Preferably, the adjustable fixing frame is a segmented structure.
[0019] Preferably, the adjustable fixing frame comprises steel pipes of two diameters of the same length.
[0020] The present invention further preferably comprises steel pipes of two diameters with the same length, which is conducive to shrinking the steel pipe with a smaller diameter into the steel pipe with a larger diameter, thereby achieving the adjustability of the fixing frame.
[0021] Preferably, the monitoring component, the power supply component and the signal transmission component are fixedly arranged on the adjustable fixing frame.
[0022] Preferably, a protective component is provided on the top of the monitoring component.
[0023] The monitoring component of the present invention is provided with a protective component on the top, which is mainly used to prevent the monitoring component from contacting with river water, resulting in failure to work or continuous operation.
[0024] In a second aspect, the present invention provides a comprehensive diagnostic method for defects in river-crossing pipelines, wherein the comprehensive diagnostic method is performed using the online monitoring system described in the first aspect.
[0025] The comprehensive diagnosis method for river crossing pipeline defects provided by the present invention is carried out by using the online monitoring system described in the first aspect, and can realize simultaneous monitoring of multiple characteristic factors and obtain multiple characteristic factor data at the same time, which is conducive to comprehensive analysis of multiple characteristic factors at the same time, avoiding the specificity of monitoring a single characteristic factor, preventing misjudgment and missed judgment, expanding the monitoring range, and improving the detection efficiency and accuracy of the river crossing pipeline defects.
[0026] Preferably, the comprehensive diagnostic method comprises the following steps:
[0027] (1) Water quality monitoring: Each monitoring probe performs real-time dynamic monitoring of characteristic factors of sewage in upstream and downstream inspection wells, and transmits the monitoring data of the characteristic factors to the remote terminal platform;
[0028] (2) Data analysis and defect evaluation: Calculate the determination factor P using the monitoring data of the characteristic factors in step (1), and perform defect analysis on the cross-river pipeline.
[0029] The comprehensive diagnosis method for river-crossing pipeline defects of the present invention comprehensively analyzes the sewage infiltration situation of the river-crossing pipeline by combining multiple characteristic factor indicators, and can efficiently and accurately diagnose the defects of such pipelines, solve the problem of difficulty in defect inspection, and improve the inspection efficiency of river-crossing pipelines.
[0030] It is worth noting that the installation of the online monitoring system of the present invention includes fixing the online monitoring system to the walls of the upstream and downstream inspection wells of the cross-river pipeline; and the monitoring component is placed below the water level of the cross-river pipeline, and the power supply component and the signal transmission component are placed above the water level of the cross-river pipeline.
[0031] Preferably, the characteristic factors in step (1) include chlorophyll a, chemical oxygen demand, electrical conductivity and liquid level.
[0032] Preferably, the monitoring data of the characteristic factors in step (1) include the monitoring data of the characteristic factors of the sewage in the upstream cross-river pipeline and the monitoring data of the characteristic factors of the sewage in the downstream cross-river pipeline.
[0033] Preferably, in step (1), the monitoring data is transmitted and received at regular intervals, and the specific interval time can be adjusted according to actual needs.
[0034] Preferably, the determination factor P in step (2) includes a first determination factor P 1 and the second determining factor P 2 , and first use the first determination factor P 1 Make a judgment, and then use the second judgment factor P 2 Make a judgment.
[0035] Preferably, the first determination factor P 1 The calculation is performed using the monitoring data of chlorophyll a, chemical oxygen demand and electrical conductivity.
[0036] Preferably, the chlorophyll a, chemical oxygen demand and electrical conductivity are divided into two characteristic factor groups, wherein the chlorophyll a is a first characteristic factor group, and the chemical oxygen demand and electrical conductivity are a second characteristic factor group.
[0037] Preferably, the first determination factor P is calculated using formula (I): 1, and conduct defect analysis on the cross-river pipeline;
[0038]
[0039] Among them, S 1 is the evaluation value of the first characteristic factor group, S 2 is the evaluation value of the second characteristic factor group.
[0040] Preferably, using the first determination factor P 1 The defect analysis of the cross-river pipeline includes: 1 ≤1 (for example, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 or 1, etc.) indicates that the river crossing pipeline has no defects; when 1<P 1 ≤3.5 (e.g., 1.1, 1.3, 1.5, 1.8, 2.2, 2.5, 2.8, 3.2 or 3.5, etc.) indicates that the cross-river pipeline has some defects; when P 1 >3.5 (for example, 3.6, 3.8, 4.0, 4.2 or 4.5, etc.) indicates that the river-crossing pipeline has serious defects.
[0041] It is worth noting that the “no defects” mentioned in the present invention means that the cross-river pipeline is in good condition and does not need further inspection for the time being; the “partial defects” mentioned in the present invention means that the cross-river pipeline needs further inspection; and the “serious defects” mentioned in the present invention means that the cross-river pipeline urgently needs detailed inspection.
[0042] Preferably, the standardized value of the permeability quantitative factor of each characteristic factor is recorded as C j , j is 1, 2 or 3; the evaluation value S of the first characteristic factor group 1 Calculated using formula (II);
[0043] S 1 =C 1 (II);
[0044] Among them, C 1 is the normalized value of the penetration quantitative factor of chlorophyll a.
[0045] Preferably, the evaluation value S of the second characteristic factor group 2 Calculated using formula (III);
[0046]
[0047] Among them, C 2 is the normalized value of the permeability quantitative factor of the chemical oxygen demand, C 3 is the normalized value of the permeability quantitative factor for the conductivity.
[0048] Preferably, the standardized value C of the permeability quantitative factor of each characteristic factor is j Calculated using formula (IV);
[0049]
[0050] Among them, the expected value of the permeability quantitative factor of each characteristic factor is the permeability quantitative factor p of each characteristic factor under the perfect operation condition of the cross-river pipeline. 期 , p 期 is 0;
[0051] The threshold value of the permeability quantitative factor of each characteristic factor is the permeability quantitative factor p of each characteristic factor when the cross-river pipeline cannot operate normally. 阈 , where the threshold value p of the chlorophyll a penetration quantitative factor is 阈(叶绿素a) is 0.5; the threshold value p of the permeability quantitative factor of the chemical oxygen demand 阈(化学需氧量) is 0.1; the threshold value of the conductivity permeability quantitative factor is p 阈(电导率) is 0.1;
[0052] The measured value of the chlorophyll a penetration quantitative factor p 实(叶绿素a) =C2 叶 -C1 叶 , where C2 叶 is the monitoring data of chlorophyll a in the sewage in the downstream river crossing pipeline, in μg / L; C1 叶 is the monitoring data of chlorophyll a of sewage in the upstream river crossing pipeline, in μg / L;
[0053] The measured value of the permeability quantitative factor of the chemical oxygen demand p 实(COD) =(C2 COD -C1 COD ) / C1 COD , where C2 COD is the monitoring data of the chemical oxygen demand of the sewage in the downstream river crossing pipeline, in mg / L; C1 COD is the monitoring data of the chemical oxygen demand of the sewage in the upstream cross-river pipeline, in mg / L;
[0054] The measured value of the conductivity permeability quantitative factor p 实(电导率) =(C2 电导率 -C1 电导率 ) / C1 电导率 , where C2 电导率 C1 is the monitoring data of the conductivity of the sewage in the downstream river crossing pipeline, in μs / cm; 电导率 It is the monitoring data of the conductivity of sewage in the upstream cross-river pipeline, and the unit is μs / cm.
[0055] It is worth noting that all calculations in the present invention are preferably performed using dry day data to avoid the influence of rainwater in the rainy season on the sewage level in the cross-river pipeline and the data of various characteristic factors, so that the analysis results are more accurate.
[0056] Preferably, the second determination factor P is used 2 The determination includes the following steps: first, in a dry day, the upstream inspection well of the cross-river pipeline close to the river end and the downstream inspection well of the cross-river pipeline far from the river end are blocked, and then the second determination factor P is calculated using formula (V) 2 , and continue to conduct defect analysis on the cross-river pipeline;
[0057] P 2 =Q / Q 上游井 (V);
[0058] Where Q is the infiltration volume of river water at the set time T (in h), in m 3 / h;Q 上游井 is the flow rate of the upstream inspection well of the cross-river pipeline, in m 3 / h.
[0059] Preferably, the infiltration amount Q of river water at the set time T is calculated using formula (VI) and formula (VII);
[0060] Q = ΔH*S / T (VI);
[0061] ΔH=H 2 -H 1 (VII);
[0062] Wherein, ΔH is the change in the liquid level data of the sewage in the downstream river crossing pipeline within the blocking time T (in h), in m; H 2 It is the liquid level data of sewage in the downstream river crossing pipe after blocking for T time, in m:H 1 is the liquid level data of the sewage in the downstream river-crossing pipeline when plugged, in m; S is the cross-sectional area of the inspection well downstream of the river-crossing pipeline, in m 2 .
[0063] Preferably, the second determination factor P is used 2 Conduct defect analysis: P 2 <0.1 (for example, it can be 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08 or 0.09, etc.) indicates that the infiltration flow into the river crossing pipeline is slight; 0.1≤P 2 <0.3 (for example, it can be 0.1, 0.12, 0.15, 0.18, 0.2, 0.23, 0.25 or 0.28, etc.) indicates that the infiltration into the river-crossing pipeline is serious; when P2 ≥0.5 (for example, it may be 0.5, 0.6, 0.7, 0.8 or 0.9, etc.) indicates that the infiltration into the river-crossing pipeline is very serious.
[0064] Compared with the prior art, the present invention has at least the following beneficial effects:
[0065] (1) The online monitoring system for river-crossing pipeline defects provided by the present invention is designed with at least three monitoring probes, and further provided with an adjustable fixing frame and a protective component, so that the online monitoring system is highly integrated and can be flexibly installed, and the signal is stable during operation, so that the detection of river-crossing pipeline defects is accurate and convenient.
[0066] (2) The present invention provides a comprehensive diagnostic method for river crossing pipeline defects. The comprehensive diagnostic method is performed using the above-mentioned online monitoring system. Based on the sewage volume balance analysis calculation, pollutant chemical mass balance or characteristic factor analysis, the river crossing pipeline is subjected to defect analysis based on comprehensive chlorophyll a (Chla), chemical oxygen demand (COD), conductivity and liquid level indicators according to specific formulas and judgment criteria, thereby achieving efficient and accurate diagnosis of river crossing pipeline defects. BRIEF DESCRIPTION OF THE DRAWINGS
[0067] Figure 1 It is a schematic diagram of the structure and installation position of the online monitoring system for river-crossing pipeline defects provided by the present invention;
[0068] In the figure: 1. Adjustable fixing frame; 2. Power supply component; 3. Signal transmission component; 4. Upstream inspection well; 5. Monitoring component; 6. Protection component; 7. Cross-river pipeline to be tested; 8. Downstream inspection well; 9. Remote terminal platform. DETAILED DESCRIPTION
[0069] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and through specific implementation methods. However, the following examples are only simplified examples of the present invention and do not represent or limit the scope of protection of the present invention. The scope of protection of the present invention shall be subject to the claims.
[0070] Example 1
[0071] The present invention provides an online monitoring system for defects in river-crossing pipelines. Figure 1 As shown, it is installed on the river-crossing pipeline 7 to be tested; the online monitoring system comprises a monitoring component 5, a power supply component 2, a signal transmission component 3 and a remote terminal platform 9 connected in sequence; the power supply component 2 is a battery pack; the signal transmission component 3 is a signal transmitter; the monitoring component 5 comprises 4 monitoring probes, which are a chlorophyll a monitoring probe, a chemical oxygen demand monitoring probe, a conductivity monitoring probe and a liquid level monitoring probe from top to bottom;
[0072] The online monitoring system is also provided with an adjustable fixing frame 1; the adjustable fixing frame 1 is a segmented structure; the adjustable fixing frame 1 is fixed or the length is adjusted by fixing screws; the adjustable fixing frame 1 includes two steel pipes of the same length and diameter; the monitoring component 5, the power supply component 2 and the signal transmission component 3 are fixedly arranged on the adjustable fixing frame 1; a protective component 6 is provided on the top of the monitoring component 5; the protective component 6 is a protective cover.
[0073] The protective cover described in this embodiment is fixed on the periphery of the monitoring probe, the chlorophyll a monitoring probe, the chemical oxygen demand monitoring probe, the conductivity monitoring probe and the liquid level monitoring probe are connected to the battery pack, and the battery pack is further connected to the signal transmitter. The online monitoring system is assembled with an adjustable fixing frame and fixed to the walls of the upstream and downstream inspection wells of the cross-river pipeline.
[0074] The present invention provides a comprehensive diagnosis method for defects in a river-crossing pipeline. The comprehensive diagnosis method is performed using the above-mentioned online monitoring system. The online monitoring system is fixed to the walls of upstream and downstream inspection wells of the river-crossing pipeline, and the monitoring component is placed at a level lower than the water level of the river-crossing pipeline, and the power supply component and the signal transmission component are placed at a level higher than the water level of the river-crossing pipeline.
[0075] The comprehensive diagnostic method comprises the following steps:
[0076] (1) Water quality monitoring: Each monitoring probe performs real-time dynamic monitoring of characteristic factors of sewage in upstream and downstream inspection wells, and transmits the monitoring data of the characteristic factors to the remote terminal platform;
[0077] (2) Data analysis and defect evaluation: Calculate the determination factor P using the monitoring data of the characteristic factors in step (1), and perform defect analysis on the cross-river pipeline.
[0078] In this embodiment, the monitoring data is transmitted and received every 15 minutes.
[0079] The determination factor P in step (2) includes the first determination factor P 1 and the second determining factor P 2 , and first use the first determination factor P 1 Make a judgment, and then use the second judgment factor P 2 Make a determination;
[0080] The first determination factor P 1 The monitoring data of chlorophyll a, chemical oxygen demand and electrical conductivity are used for calculation; the chlorophyll a, chemical oxygen demand and electrical conductivity are divided into two characteristic factor groups, wherein the chlorophyll a is a first characteristic factor group, and the chemical oxygen demand and electrical conductivity are a second characteristic factor group; the first determination factor P is calculated using formula (I)1 , and conduct defect analysis on the cross-river pipeline;
[0081]
[0082] Among them, S 1 is the evaluation value of the first characteristic factor group, S 2 is the evaluation value of the second characteristic factor group.
[0083] Using the first determination factor P 1 The defect analysis of the cross-river pipeline includes: 1 ≤1 indicates that the river-crossing pipeline has no defects; when 1<P 1 ≤3.5 indicates that the river-crossing pipeline has some defects; when P 1 >3.5 indicates that the cross-river pipeline has serious defects.
[0084] The standardized value of the permeability quantitative factor of each characteristic factor is recorded as C j , j is 1, 2 or 3; the evaluation value S of the first characteristic factor group 1 Calculated using formula (II);
[0085] S 1 =C 1 (II);
[0086] Among them, C 1 is the standardized value of the penetration quantitative factor of chlorophyll a;
[0087] The evaluation value S of the second characteristic factor group 2 Calculated using formula (III);
[0088]
[0089] Among them, C 2 is the normalized value of the permeability quantitative factor of the chemical oxygen demand, C 3 is the normalized value of the permeability quantitative factor of the conductivity;
[0090] The standardized value C of the penetration quantitative factor of each characteristic factor j Calculated using formula (IV);
[0091]
[0092] Specifically, this embodiment tests the actual values of the permeability quantitative factors of chlorophyll a, chemical oxygen demand (COD) and conductivity for 6 river crossing pipelines to be tested, and the results are shown in Table 1;
[0093] Table 1
[0094]
[0095] The expected value of the permeability quantitative factor of each characteristic factor is the permeability quantitative factor p of each characteristic factor under the perfect operation condition of the cross-river pipeline. 期 , p 期 is 0; the threshold value p of the chlorophyll a penetration quantitative factor 阈(叶绿素a) is 0.5; the threshold value p of the permeability quantitative factor of the chemical oxygen demand 阈(化学需氧量) is 0.1; the threshold value of the conductivity permeability quantitative factor is p 阈(电导率) =0.1, calculate the standardized value C of the penetration quantitative factor of each characteristic factor j , the results are shown in Table 2;
[0096] Table 2
[0097]
[0098]
[0099] Then the evaluation value S of the first characteristic factor group of each river-crossing pipeline to be tested is 1 and the evaluation value S of the second characteristic factor group 2 , and the first determination factor P of each pipeline to be tested 1 ; As shown in Table 3;
[0100] Table 3
[0101] project Pipeline 1 Pipeline 2 Pipeline 3 Pipeline 4 Pipeline 5 Cross-river pipeline 6 <![CDATA[S 1 ]]> 0.000 6.696 0.000 3.348 3.348 2.212 <![CDATA[S 1 ]]> 0.480 4.400 0.250 2.150 1.650 0.300 <![CDATA[P 1 ]]> 0.240 5.548 0.125 2.749 2.499 1.256
[0102] Therefore, according to the first determination factor P of each pipeline to be tested in Table 3 1 The size of the river crossing pipe 2 can be known: 1 >3.5, indicating that it has serious defects and needs to be checked in detail; P 1 are all greater than 1 but less than 3.5, indicating that they have some defects and need further investigation; P 1 Less than 1 indicates that it is free of defects and in good condition without further investigation.
[0103] Then, the second determination factor P is used 2 The determination includes the following steps: first, in a dry day, the upstream inspection well of the cross-river pipeline close to the river end and the downstream inspection well of the cross-river pipeline far from the river end are blocked, and then the second determination factor P is calculated using formula (V) 2 , and continue to conduct defect analysis on the cross-river pipeline;
[0104] P 2 =Q 1 / Q上游井 (V);
[0105] Among them, Q 1 The infiltration volume of river water at the set time T (15min, i.e. 0.25h), in m 3 / h;Q 上游井 is the flow rate of the upstream inspection well of the cross-river pipeline, in m 3 / h;
[0106] The infiltration amount Q of river water at the set time T is calculated using formula (VI) and formula (VII);
[0107] Q = ΔH*S / T (VI);
[0108] ΔH=H 2 -H 1 (VII);
[0109] Wherein, ΔH is the change in the liquid level data of the sewage in the downstream river crossing pipeline within the blocking time T (15 min), in m; H 2 It is the liquid level data of sewage in the downstream river crossing pipe after blocking for T time, in m:H 1 is the liquid level data of the sewage in the downstream river-crossing pipeline when plugged, in m; S is the cross-sectional area of the inspection well downstream of the river-crossing pipeline, in m 2 ;
[0110] Using the second determination factor P 2 Conduct defect analysis: P 2 <0.1 indicates that the infiltration into the river crossing pipeline is slight; 0.1≤P 2 <0.3 indicates that the infiltration into the river-crossing pipeline is serious; when P 2 ≥0.5 indicates that the infiltration into the river-crossing pipeline is very serious.
[0111] Specifically, this embodiment uses the second determination factor P for the above six river-crossing pipelines to be tested. 2 Conduct defect analysis and P 2 The values are shown in Table 4;
[0112] Table 4
[0113]
[0114]
[0115] According to the second determination factor P of each pipeline to be tested in Table 4 2 The size of the river crossing pipe 2 can be seen. 2Greater than 0.1 but less than 0.3, indicating that the infiltration inflow is relatively serious; the infiltration inflow of river-crossing pipeline 1, river-crossing pipeline 3, river-crossing pipeline 4, river-crossing pipeline 5 and river-crossing pipeline 6 is slight.
[0116] In summary, the online monitoring system and comprehensive diagnostic method for river-crossing pipeline defects provided by the present invention realize the comprehensive monitoring of characteristic factors chlorophyll a, chemical oxygen demand, conductivity and liquid level in river-crossing pipelines under special and complex environmental conditions and perform defect analysis, which solves the problem that traditional diagnostic devices and methods with a single characteristic factor are difficult to accurately diagnose complex river-crossing pipeline defects, reduces the occurrence of misjudgments and missed judgments, and improves the detection efficiency of river-crossing pipelines.
[0117] The applicant declares that the above is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Those skilled in the art should understand that any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention shall fall within the protection scope and disclosure scope of the present invention.
Claims
1. An online monitoring system for defects in river-crossing pipelines, characterized in that: The online monitoring system comprises a monitoring component, a power supply component, a signal transmission component and a remote terminal platform connected in sequence; The monitoring component includes at least three monitoring probes.
2. The online monitoring system according to claim 1, characterized in that: The monitoring component includes 4 monitoring probes; Preferably, the monitoring probes include a chlorophyll a monitoring probe, a chemical oxygen demand monitoring probe, a conductivity monitoring probe and a liquid level monitoring probe.
3. The online monitoring system according to claim 1 or 2, characterized in that: The online monitoring system is also provided with an adjustable fixing frame; Preferably, the adjustable fixing frame is a segmented structure; Preferably, the adjustable fixing frame comprises steel pipes of two diameters of the same length; Preferably, the monitoring component, the power supply component and the signal transmission component are fixedly arranged on the adjustable fixing frame; Preferably, a protective component is provided on the top of the monitoring component.
4. A comprehensive diagnostic method for river crossing pipeline defects, characterized in that: The comprehensive diagnostic method is performed using the online monitoring system as described in any one of claims 1-3.
5. The comprehensive diagnostic method according to claim 4, characterized in that: The comprehensive diagnostic method comprises the following steps: (1) Water quality monitoring: Each monitoring probe performs real-time dynamic monitoring of characteristic factors of sewage in upstream and downstream inspection wells, and transmits the monitoring data of the characteristic factors to the remote terminal platform; (2) Data analysis and defect evaluation: Calculate the determination factor P using the monitoring data of the characteristic factors in step (1), and perform defect analysis on the cross-river pipeline.
6. The comprehensive diagnostic method according to claim 5, characterized in that: The characteristic factors in step (1) include chlorophyll a, chemical oxygen demand, electrical conductivity and liquid level; Preferably, the monitoring data of the characteristic factors in step (1) include the monitoring data of the characteristic factors of the sewage in the upstream cross-river pipeline and the monitoring data of the characteristic factors of the sewage in the downstream cross-river pipeline.
7. The comprehensive diagnostic method according to claim 6, characterized in that: In step (2), the determination factor P includes a first determination factor P1 and a second determination factor P2, and the determination is first performed using the first determination factor P1, and then the determination is performed using the second determination factor P2; Preferably, the first determination factor P1 is calculated using the monitoring data of chlorophyll a, chemical oxygen demand and conductivity; Preferably, the chlorophyll a, chemical oxygen demand and electrical conductivity are divided into two characteristic factor groups, wherein the chlorophyll a is a first characteristic factor group, and the chemical oxygen demand and electrical conductivity are a second characteristic factor group; Preferably, the first determination factor P1 is calculated using formula (I), and a defect analysis is performed on the river-crossing pipeline; Wherein, S1 is the evaluation value of the first characteristic factor group, and S2 is the evaluation value of the second characteristic factor group; Preferably, using the first determination factor P1 to perform defect analysis on the river-crossing pipeline includes: when P1≤1, it means the river-crossing pipeline has no defects; when 1<P1≤3.5, it means the river-crossing pipeline has partial defects; when P1>3.5, it means the river-crossing pipeline has serious defects.
8. The comprehensive diagnostic method according to claim 7, characterized in that: The standardized value of the permeability quantitative factor of each characteristic factor is recorded as C j , j is 1, 2 or 3; the evaluation value S1 of the first characteristic factor group is calculated using formula (II); S1=C1(II); Wherein, C1 is the standardized value of the penetration quantitative factor of chlorophyll a; Preferably, the evaluation value S2 of the second characteristic factor group is calculated using formula (III); Wherein, C2 is the standardized value of the permeability quantitative factor of the chemical oxygen demand, and C3 is the standardized value of the permeability quantitative factor of the conductivity; Preferably, the standardized value C of the permeability quantitative factor of each characteristic factor is j Calculated using formula (IV); 9. The comprehensive diagnostic method according to claim 7, characterized in that: The determination using the second determination factor P2 includes the following steps: first, in a dry weather condition, blocking the pipeline in the upstream inspection well of the river-crossing pipeline close to the river end and the pipeline in the downstream inspection well of the river-crossing pipeline far from the river end, then calculating the second determination factor P2 using formula (V), and continuing to perform defect analysis on the river-crossing pipeline; P2=Q1 / Q 上游井 (V); Among them, Q1 is the infiltration volume of inland river water at the set time T (in h), in m 3 / h;Q 上游井 is the flow rate of the upstream inspection well of the cross-river pipeline, in m 3 / h.
10. The comprehensive diagnostic method according to claim 9, characterized in that: The infiltration volume Q1 of the river water at the set time T is calculated using formula (VI) and formula (VII); Q1 = ΔH*S / T(VI); ΔH=H2-H1(VII); Among them, ΔH is the change in the liquid level data of the sewage in the downstream cross-river pipeline within the blocking time T (unit: h), unit: m; H2 is the liquid level data of the sewage in the downstream cross-river pipeline after blocking time T, unit: m; H1 is the liquid level data of the sewage in the downstream cross-river pipeline during blocking, unit: m; S is the cross-sectional area of the inspection well downstream of the cross-river pipeline, unit: m 2 ; Preferably, the second determination factor P2 is used for defect analysis: P2<0.1 indicates that the infiltration into the river-crossing pipeline is slight; 0.1≤P2<0.3 indicates that the infiltration into the river-crossing pipeline is serious; when P2≥0.5, it indicates that the infiltration into the river-crossing pipeline is very serious.
Citation Information
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