Defect diagnosis method and system for sewage pipe network

Abstract

The invention belongs to the technical field of sewage pipe network detection, and discloses a defect diagnosis method and system for a sewage pipe network. The sewage pipe network defect diagnosis method comprises the following steps: determining a monitoring area and a sewage pipe network topological structure in the monitoring area; partitioning the sewage pipe network according to the topological structure of the sewage pipe network, and setting n-stage nodes and n-stage branch pipe nodes in the partitions as monitoring points; by collecting the monitoring data of the multiple monitoring points, defect diagnosis is conducted on the sewage pipe network, classification diagnosis can be conducted on the sewage pipe network, the defect checking range of the sewage pipe network can be efficiently reduced, and rapid diagnosis of the defects of the sewage pipe network is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage pipe network detection, and particularly to a method and a system for defect diagnosis of a sewage pipe network. Background Art

[0002] The continuous improvement of the urban water environment quality depends on the continuous development of the urban sewage treatment system. The improvement of the quality and efficiency of the urban sewage treatment system affects the long-term improvement of the urban water environment and the sustainable development of the city. Among them, the defect problem of the sewage pipe network is one of the main reasons affecting the improvement of the quality and efficiency of the sewage treatment system. Therefore, the defect diagnosis and investigation of the sewage pipe network are very important.

[0003] At present, the defects of the sewage pipe network include phenomena such as poor collection efficiency and low influent concentration of the sewage treatment plant. Since the sewage pipe network is built underground and has strong concealment and complexity, it is difficult to detect defect problems, and the investigation difficulty is great.

[0004] The common pipe network investigation method is to first carry out pretreatment such as blocking and drainage, and then conduct a comprehensive investigation of the entire sewage treatment plant area through geophysical exploration means such as CCTV detection (closed-circuit television detection) and QV detection (underwater beam scanning). Although this method can accurately find the problems existing inside the pipe network, traditional geophysical exploration means such as CCTV detection and QV detection are not applicable to scenarios where the pipe diameter is too small and the distance between inspection wells is too long. Moreover, when conducting a comprehensive pipe network investigation, there are disadvantages such as lack of focus, high cost, and long construction period, which are likely to cause waste of resources. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and a system for defect diagnosis of a sewage pipe network, so as to improve the defect investigation efficiency of the sewage pipe network and save the defect investigation cost of the sewage pipe network.

[0006] To achieve this purpose, the present invention provides a method for defect diagnosis of a sewage pipe network, including the following steps:

[0007] S1, determining a monitoring area and the topological structure of the sewage pipe network within the monitoring area;

[0008] S2, partitioning the sewage pipe network according to the topological structure of the sewage pipe network, specifically:

[0009] Starting from the sewage treatment plant, according to the sewage flow direction, the sewage pipe network is divided into multiple parallel branches. On each branch, there are successively n-level nodes, n-level main pipes, and n-level drainage areas, where n = 1, 2, 3, ……, N, and N is a positive integer; the starting point is the first-level node. The two ends of the n-level main pipe are respectively the n-level node and the (n + 1)-level node. The n-level drainage area is connected to the n-level main pipe through the n-level branch pipe. On each n-level branch pipe, there is an n-level branch pipe node, and the n-level node and the n-level branch pipe node are both set as monitoring points;

[0010] S3, Collect the monitoring data of multiple said monitoring points, and the monitoring data includes water flow rate and / or characteristic factors;

[0011] S4, According to the monitoring data, perform defect diagnosis on the sewage pipe network.

[0012] In some embodiments, in step S2, there are multiple inspection wells on both the branch and the branch pipe, and multiple said monitoring points are all arranged at multiple said inspection wells.

[0013] In some embodiments, in step S4, when the characteristic factor is the concentration of chemical oxygen demand COD, taking the standard oxygen demand concentration X of the monitoring area as the standard and α as the concentration coefficient, if COD≥X, it indicates that the sewage pipe network is operating well and only requires regular maintenance; if αX≤COD<X, it indicates that the sewage pipe network is operating poorly and maintenance is required; if COD<αX, it indicates that the sewage pipe network is operating poorly and a check is required.

[0014] In some embodiments, the concentration coefficient α satisfies: 0.5<α≤0.7.

[0015] In some embodiments, in step S4, when the characteristic factor is conductivity, if the conductivity is lower than the conductivity set value, it is considered that there are defects in the sewage pipe network.

[0016] In some embodiments, in step S4, perform sewage volume balance analysis and calculation on the sewage pipe network according to the water flow rate, including the following steps:

[0017] For the monitoring area, according to the tap water supply flow rate Q g总 of the monitoring area and the influent flow rate Q p总 of the sewage treatment plant, perform defect diagnosis on the sewage pipe network;

[0018] For the branch, according to the tap water supply flow rate Q gn支 of the n-level drainage area and the water flow rate Q n支 of the n-level branch pipe node, perform defect diagnosis on the n-level drainage area;

[0019] For the n-level main pipe, according to the water flow rate Q of the (n + 1)-level node (n+1)干 , the water flow rate Q of the n-level node n干 and the water flow rate Q of the n-level branch pipe node n支 , defect diagnosis is performed on the n-level main pipe.

[0020] In some embodiments, for the monitoring area, calculate the first balanced water flow rate Q1:

[0021] Q1 = Q g总 *k - Q p总 ;

[0022] where k is the drainage coefficient. When Q1 < 0, it indicates that there is an external water infiltration defect in the sewage pipe network; when Q1 > 0, it indicates that there is an internal water leakage defect in the sewage pipe network;

[0023] For the branch line, calculate the second balanced water flow rate Q2:

[0024] Q2 = Q gn支 *k - Q n支 ;

[0025] When Q2 < 0, it indicates that there is an external water infiltration defect in the n-level drainage area; when Q2 > 0, it indicates that there is an internal water leakage defect in the n-level drainage area;

[0026] For the n-level main pipe, calculate the third balanced water flow rate Q3:

[0027] Q3 = Q n支 +Q (n+1)干 -Q n干 ;

[0028] When Q3 < 0, it indicates that there is an external water infiltration defect in the n-level main pipe; when Q3 > 0, it indicates that there is an internal water leakage defect in the n-level main pipe.

[0029] In some embodiments, the drainage coefficient k: 0 < k < 1.

[0030] The present invention also provides a defect diagnosis system for a sewage pipe network, including:

[0031] Monitoring equipment, multiple monitoring points are set in the sewage pipe network to be detected, each of the monitoring points is arranged at a manhole, and each of the monitoring points is provided with the monitoring equipment to obtain monitoring data;

[0032] An online monitoring platform, which is communicatively connected to the monitoring equipment to receive the monitoring data, and performs defect diagnosis on the sewage pipe network according to the monitoring data and preset data.

[0033] In some embodiments, the monitoring device includes a mounting frame and a COD detector, a conductivity detector, and a water flow detector disposed on the mounting frame. The mounting frame is disposed above the inlet of the inspection well, and the monitoring probes of the COD detector, the conductivity detector, and the water flow detector are respectively disposed at the well wall of the corresponding inspection well.

[0034] Advantages of the present invention:

[0035] The defect diagnosis method for the sewage pipe network provided by the present invention can perform fine zoning on the sewage pipe network based on the existing sewage pipe network topology, and can diagnose the defects of the sewage pipe network through characteristic factors and water flow monitoring data; the sewage pipe network is divided into multiple branches, n-level drainage areas, and n-level main pipes, which is conducive to hierarchical diagnosis of the sewage pipe network, can efficiently reduce the range of defect investigation of the sewage pipe network, and achieve rapid diagnosis of the defects of the sewage pipe network. Description of the Drawings

[0036] Figure 1 is a schematic structural diagram of a defect diagnosis system for a sewage pipe network provided in Embodiment 1 of the present invention;

[0037] Figure 2 is a schematic diagram of the zoning of a sewage pipe network in the defect diagnosis method for a sewage pipe network provided in Embodiment 1 of the present invention;

[0038] Figure 3 is a schematic diagram of the zoning of a sewage pipe network in the defect diagnosis method for a sewage pipe network provided in Embodiment 2 of the present invention.

[0039] In the figure:

[0040] 100, sewage treatment plant; 101, inspection well; 102, mounting frame; 103, monitoring probe; 104, probe protection cover; 105, battery pack; 106, signal transmitter; 107, online monitoring platform;

[0041] 1, first-level node; 2, first branch; 3, second branch; 4, first-level main pipe; 5, second-level node; 6, second-level main pipe; 7, third-level node; 8, third-level main pipe; 9, fourth-level node; 10, first-level branch pipe; 11, first-level branch pipe node; 12, first-level drainage area; 13, second-level branch pipe; 14, second-level branch pipe node; 15, second-level drainage area; 16, third-level branch pipe; 17, third-level branch pipe node; 18, third-level drainage area; 19, fourth-level branch pipe; 20, fourth-level branch pipe node; 21, fourth-level drainage area. Detailed Embodiments

[0042] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only for explaining the present invention, rather than limiting the present invention. In addition, it should be noted that for the convenience of description, only the parts related to the present invention are shown in the drawings, rather than all the structures.

[0043] In the description of the present invention, unless otherwise clearly defined and limited, the terms "connected", "connected", and "fixed" shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0044] In the present invention, unless otherwise clearly defined and limited, the first feature being "above" or "below" the second feature may include the direct contact between the first and second features, or may include the situation where the first and second features are not in direct contact but in contact through other features therebetween. Moreover, the first feature being "above", "above", and "on" the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature being "below", "below", and "under" the second feature includes that the first feature is directly below and obliquely below the second feature, or only indicates that the horizontal height of the first feature is lower than that of the second feature.

[0045] In the description of this embodiment, the orientation or positional relationship terms such as "above", "below", "left", and "right" are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of description and simplifying the operation, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, so it cannot be understood as a limitation to the present invention. In addition, the terms "first" and "second" are only used for distinction in description and have no special meaning.

[0046] Embodiment 1:

[0047] This Embodiment 1 provides a method for diagnosing defects in a sewage pipe network, including the following steps:

[0048] S1. Determine the monitoring area and the topological structure of the sewage pipe network within the monitoring area;

[0049] In this step, the monitoring area refers to a pumping station area. The topological structure of the sewage pipe network within the pumping station area can be obtained by collecting data. At the same time, through collecting data, the operation data of the sewage treatment plant 100 within the monitoring area, the water use and drainage data of the drainage area, etc. can also be obtained. The drainage area generally includes centralized drainage units such as industrial enterprises, residential areas, and public service areas.

[0050] S2. Partition the sewage pipe network according to the topological structure of the sewage pipe network, specifically as follows:

[0051] Taking the sewage treatment plant 100 as the starting point, according to the sewage flow direction, the sewage pipe network is divided into multiple parallel branches. On each branch, there are n-level nodes, n-level main pipes, and n-level drainage areas in sequence, where n = 1, 2, 3, ……, N, and N is a positive integer; the starting point is the first-level node 1. The two ends of the n-level main pipe are the n-level node and the (n + 1)-level node respectively. The n-level drainage area is connected to the n-level main pipe through the n-level branch pipe. On each n-level branch pipe, there is an n-level branch pipe node. Both the n-level node and the n-level branch pipe node are set as monitoring points;

[0052] As Figure 1 shown, taking the sewage treatment plant 100 as the starting point, according to the sewage flow direction, there are two different branches, namely the first branch 2 and the second branch 3. On each branch, the inspection well 101 of the sewage treatment plant 100 is the first-level node 1. Starting from the first-level node 1, they are sequentially denoted as the first-level main pipe 4, the second-level node 5, and the second-level main pipe 6. The first branch 2 is also sequentially divided into the third-level node 7, the third-level main pipe 8, and the fourth-level node 9. On the first branch 2, the first-level main pipe 4 is connected to the first-level drainage area 12 through the first-level branch pipe 10. There is a first-level branch pipe node 11 on the first-level branch pipe 10. The second-level main pipe 6 is connected to the second-level drainage area 15 through the second-level branch pipe 13. There is a second-level branch pipe node 14 on the second-level branch pipe 13. The third-level main pipe 8 is connected to the third-level drainage area 18 through the third-level branch pipe 16. There is a third-level branch pipe node 17 on the third-level branch pipe 16. The fourth-level node 9 is connected to the fourth-level drainage area 21 through the fourth-level branch pipe 19. There is a fourth-level branch pipe node 20 on the fourth-level branch pipe 19, ……. According to the scale of the sewage pipe network, such as the number of branches, the length of the branches, and the number of drainage areas, it can be set level by level. It can be understood that according to the distance from the sewage treatment plant 100, the first-level node 1 and the second-level node 5 are set in sequence ……, and the sewage pipe network is finely partitioned. The sewage pipe network is divided into multiple branches, n-level drainage areas, and n-level main pipes, which is conducive to hierarchical diagnosis of the sewage pipe network, can efficiently reduce the scope of defect investigation of the sewage pipe network, and realize the rapid diagnosis of sewage pipe network defects.

[0053] In the daily maintenance of the sewage pipe network, there are generally multiple inspection wells 101 on the branches and branch pipes. The embodiments of the present invention make full use of the existing inspection well 101 resources, set multiple monitoring points at multiple inspection wells 101, and then can use the existing detectable and monitorable data of the inspection wells 101 for defect diagnosis of the sewage pipe network.

[0054] S3. Collect the monitoring data of multiple monitoring points. The monitoring data includes water flow rate and / or characteristic factors;

[0055] For the purpose of collecting monitoring data for preparation, multiple monitoring points are set in the sewage pipe network to be detected. Each monitoring point is located at the inspection well 101, and each monitoring point is equipped with monitoring equipment to obtain monitoring data.

[0056] As Figure 2 shown, taking the inspection well 101 in the sewage treatment plant 100 as an example, the monitoring equipment includes a mounting frame 102 and a COD detector, a conductivity detector, and a water flow detector installed on the mounting frame 102. The mounting frame 102 is located above the inlet of the inspection well 101 and extends downward into the interior of the inspection well 101, and is used to fixedly install the monitoring probes 103 of the COD detector, the conductivity detector, and the water flow detector, so that each monitoring probe 103 is respectively located at the well wall of the corresponding inspection well 101. A probe protection cover 104 is provided around each monitoring probe 103. Among them, each monitoring probe 103 is powered by a battery pack 105, and the battery pack 105 and each monitoring probe 103 are both communicatively connected to an online monitoring platform 107 through a signal transmitter 106. The online monitoring platform 107 is communicatively connected to the monitoring equipment to receive monitoring data, and perform defect diagnosis on the sewage pipe network according to the monitoring data and preset data. The monitoring data includes monitoring data such as characteristic factors and water flow, which is conducive to realizing defect diagnosis of the sewage pipe network.

[0057] S4. According to the monitoring data, perform defect diagnosis on the sewage pipe network. Specifically, defect diagnosis can be performed through the online monitoring platform 107, and the defective sections and defect types of the sewage pipe network can be obtained. The defect types include external water infiltration and internal water leakage, which are convenient for maintenance and repair.

[0058] In step S4, when the characteristic factor is the concentration of chemical oxygen demand COD, taking the standard oxygen demand concentration X of the monitoring area as the standard and α as the concentration coefficient, if COD≥X, it indicates that the sewage pipe network is operating well and only regular maintenance is required; if αX≤COD<X, it indicates that the sewage pipe network is operating poorly and maintenance is required; if COD<αX, it indicates that the sewage pipe network is operating poorly and a check is required.

[0059] Among them, the standard oxygen demand concentration X varies in different regions, and it is necessary to consult relevant materials in advance to determine the standard oxygen demand concentration X of the monitoring area. The concentration coefficient α satisfies: 0.5<α≤0.7. The concentration coefficient α is an empirical value. According to the existing maintenance and repair data in the sewage pipe network, the concentration coefficient α can be reasonably set to achieve comprehensive monitoring. Generally, α = 0.7.

[0060] In step S4, when the characteristic factor is conductivity, if the conductivity is lower than the conductivity set value, it is considered that there is a defect in the sewage pipe network.

[0061] It can be understood that the monitoring data obtained from multiple monitoring points includes the location information of the monitoring points. Furthermore, the approximate location of the defective sewage pipeline network can be determined based on the monitoring data, thereby quickly narrowing down the drainage range or performing defect location. Among the characteristic factors, if any one of the monitoring data of the chemical oxygen demand concentration COD and the conductivity is abnormal, it can be used as the basis for judging the existence of defects in the sewage pipeline network to ensure comprehensive monitoring and diagnosis without omission.

[0062] In step S4, perform a sewage volume balance analysis and calculation of the sewage pipeline network according to the water flow rate, including the following steps:

[0063] For the monitoring area, according to the tap water supply flow rate Q of the monitoring area g总 and the influent flow rate Q of the sewage treatment plant 100 p总 , perform defect diagnosis on the sewage pipeline network;

[0064] For the branch line, according to the tap water supply flow rate Q of the n-level drainage area gn支 and the water flow rate Q of the n-level branch pipe node n支 , perform defect diagnosis on the n-level drainage area;

[0065] For the n-level main pipe, according to the water flow rate Q of the (n + 1)-level node (n+1)干 , the water flow rate Q of the n-level node n干 and the water flow rate Q of the n-level branch pipe node n支 , perform defect diagnosis on the n-level main pipe.

[0066] The above can achieve hierarchical inspection of the sewage pipeline network in the monitoring area, gradually narrow down the area where defects exist, quickly locate the defect type and defect section, and improve the diagnosis efficiency.

[0067] In some embodiments, for the monitoring area, calculate the first balanced water flow rate Q1:

[0068] Q1 = Q g总 *k - Q p总 ;

[0069] where k is the drainage coefficient. When Q1 < 0, it indicates that there is an external water infiltration defect in the sewage pipeline network; when Q1 > 0, it indicates that there is an internal water leakage defect in the sewage pipeline network;

[0070] For the n-level drainage area, calculate the second balanced water flow rate Q2:

[0071] Q2 = Q gn支 *k - Q n支 ;

[0072] When Q2 < 0, it indicates that there is an external water infiltration defect in the n-level drainage area; when Q2 > 0, it indicates that there is an internal water leakage defect in the n-level drainage area;

[0073] For the n - level main pipe, calculate the third balanced water flow rate Q3:

[0074] Q3 = Q n支 +Q (n+1)干 -Q n干 ;

[0075] When Q3 < 0, it indicates that there is a defect of external water infiltration in the n - level main pipe; when Q3 > 0, it indicates that there is a defect of internal water leakage in the n - level main pipe.

[0076] Among them, the drainage coefficient k: 0 < k < 1. The drainage coefficient k is reasonably set according to the specific monitoring area scenario, generally an empirical value. According to the relationship between the actual tap water supply flow rate and the sewage inflow rate, the tap water supply flow rate in the monitoring area is greater than the inflow rate of the sewage treatment plant by 100. Under the condition of the reasonably set drainage coefficient k, if the first balanced water flow rate Q1 varies within a certain range, it is considered that the sewage pipe network is in a normal state. Once it deviates from the specified range, it is considered that maintenance, repair or defect investigation is required to avoid larger pipeline defects and achieve monitoring and early warning. The second balanced water flow rate Q2 and the third balanced water flow rate Q3 are also diagnosed according to this principle. Correspondingly, the tap water supply flow rate is the available data of the given monitoring area, and the water flow rate data of each monitoring point can be provided by the monitoring equipment. When the first balanced water flow rate Q1 is unbalanced (not zero), it indicates that there is a problematic area in the sewage pipe network; by calculating the second balanced water flow rate Q2, it can be further determined which drainage area has problems; for the drainage area with problems, by calculating the third balanced water flow rate Q3, it can be further judged which level of main pipe has defects, thereby realizing step - by - step defect investigation and rapid diagnosis.

[0077] To implement the above - mentioned defect diagnosis method of the sewage pipe network, the present invention also provides a defect diagnosis system for the sewage pipe network, including monitoring equipment and an online monitoring platform 107. A plurality of monitoring points are set in the sewage pipe network to be detected, each monitoring point is arranged at the inspection well 101, and each monitoring point is equipped with monitoring equipment to obtain monitoring data; the online monitoring platform 107 is communicatively connected with the monitoring equipment to receive the monitoring data, and perform defect diagnosis on the sewage pipe network according to the monitoring data and preset data. Among them, the monitoring data includes the COD concentration, conductivity and water flow rate at each inspection well 101, and the preset data includes the standard oxygen demand concentration X, concentration coefficient α, drainage coefficient k and conductivity set value of the monitoring area, etc.

[0078] In some embodiments, in combination with Figure 2, The monitoring device includes a mounting rack 102, a COD detector, a conductivity detector, and a water flow detector disposed on the mounting rack 102. The mounting rack 102 is disposed above the inlet of the inspection well 101. The monitoring probes 103 of the COD detector, the conductivity detector, and the water flow detector are respectively disposed at the well wall of the corresponding inspection well 101. Each monitoring probe 103 is powered by a battery pack 105. The signal transmitter 106 can transmit the power information of the battery pack 105 and the monitoring data of each monitoring probe 103 to the online monitoring platform 107, and the online platform implements the defect diagnosis method of the sewage pipe network provided by the implementation of the present invention.

[0079] Embodiment 2:

[0080] Combined with Figure 3 , this Embodiment 2 gives a schematic diagram of the zoning of the sewage pipe network in a monitoring area. Among them, there are four branch lines with the inspection well 101 of the sewage treatment plant 100 as the first-level node 1, which are respectively denoted as branch line A, branch line B, branch line C, and branch line D. And n-level nodes, n-level main pipes, and n-level drainage areas are sequentially divided on each branch line. There are a total of three first-level drainage areas 12 (a1, b1, and c1), three second-level drainage areas 15 (a2, b2, and c2), and two third-level drainage areas 18 (a3 and b3). The inspection well 101 of each branch line is set as a monitoring point, and monitoring equipment is arranged at the monitoring point. The monitoring equipment is communicatively connected to the online monitoring platform 107.

[0081] The standard oxygen demand concentration X in the monitoring area is 260 mg / L. Combined with the concentration coefficient α, αX = 180 mg / L is obtained. Then COD ≥ 260 mg / L indicates that the sewage pipe network is operating well and only requires regular maintenance; 180 mg / L ≤ COD < 260 mg / L indicates that the sewage pipe network is operating poorly and further maintenance is required; COD < 180 mg / L indicates that the sewage pipe network is operating poorly and urgent investigation is needed.

[0082] The analysis of the COD concentration monitoring conditions of each level of nodes and each level of drainage areas measured is shown in Table 1 and Table 2 below.

[0083] Table 1 COD concentrations at multiple monitoring points on each branch line (unit: mg / L)

[0084] Monitoring point T A1 A2 B1 C1 C2 D1 COD concentration 178.5 318.0 170.0 105.3 282.5 226.0 180.9

[0085] Table 2 COD concentrations in each drainage area (unit: mg / L)

[0086] Drainage area Area a1 Area a2 Area a3 Area b1 Area b2 Area c1 Area c2 Area c3 COD concentration 119.6 361.6 241.1 123.7 54.9 154.6 271.9 235.6

[0087] As can be seen from the data in Table 1, point T is the first-level node 1, and the COD concentration of the first-level node 1 (T) is lower than 180 mg / L, indicating that the operation of the sewage pipe network in the entire monitoring area is poor and urgent investigation is needed; further, among the second-level nodes 5 of each branch line, the COD concentration at monitoring point B1 < 180 mg / L, so branch line B urgently needs to be investigated, and branch line D needs further maintenance. Combining Table 2, drainage areas b1 and b2 on branch line B both urgently need to be investigated, thus realizing defect diagnosis. Further, the COD concentrations in drainage areas a1 and c1 are lower than 180 mg / L, and they also urgently need to be investigated, and defect diagnosis is carried out on the first-level main pipes 4 on branch lines A and C in combination with the third balanced water flow Q3.

[0088] Combining the water flows of the inspection wells at each monitoring point, calculating the first balanced water flow Q1, the second balanced water flow Q2, and the third balanced water flow Q3 can further judge the types of defects in the drainage areas and main pipes, so as to carry out maintenance and repair for seepage and leakage conditions.

[0089] In some embodiments, when the characteristic factor is conductivity, the defect condition of the sewage pipe network is characterized by the change of conductivity. It is known that the conductivity of domestic sewage is between 1500 and 2000 μS / cm, while the conductivity of general tap water is between 125 and 1250 μS / cm, and the conductivity of clean river water is between 100 and 300 μS / cm. It can be seen that the conductivity of domestic sewage is much higher than that of surface waters such as tap water and clean river water. Therefore, taking 500 μS / cm as the conductivity setting value, in the monitoring data of the sewage pipe network, a conductivity less than 500 μS / cm can be considered as an obvious defect problem.

[0090] The analysis of the conductivity values monitored at each point in the embodiment is shown in the following table.

[0091] Table 3 Conductivity values of each level of nodes on the branch line (unit: μS / cm)

[0092] Monitoring point T A1 A2 B1 C1 C2 D1 Conductivity 760.3 980.8 969.2 461.0 436.6 891.8 854.4

[0093] Table 4 Conductivity values of each level of drainage areas (unit: μS / cm)

[0094] Drainage area Area a1 Area a2 Area a3 Area b1 Area b2 Area c1 Area c2 Area c3 Conductivity 595.2 827.0 1065.6 726.1 593.5 861.2 849.8 723.1

[0095] As can be seen from Table 3, the conductivity of the first-level node 1 (T point) is greater than the set conductivity value; among the second-level nodes 5, the conductivities of the monitoring points B1 and C1 are 461.0 μS / cm and 436.6 μS / cm respectively, both of which are less than 500 μS / cm. Therefore, it is determined that there are obvious defect problems in branch lines B and C, and urgent troubleshooting is needed; further, the conductivities of drainage areas b1, b2, c1, c2, and c3 are all greater than 500 μS / cm. Therefore, it can be diagnosed that there are defects in the first-level main pipe 4 and urgent troubleshooting and maintenance are needed; calculate the third balanced water flow Q3 to further determine the defect type and carry out maintenance.

[0096] The defect diagnosis method for the sewage pipe network provided by the present invention accurately locates the partition of the sewage pipe network, points out the direction for subsequent in-depth troubleshooting and repair, greatly improves the troubleshooting efficiency of the sewage pipe network, saves the troubleshooting cost of the sewage pipe network, and has good applicability, and can provide guidance for the accurate troubleshooting of urban sewage pipe networks.

[0097] Obviously, the above-mentioned embodiments of the present invention are only examples for clearly explaining the present invention, and are not intended to limit the implementation manners of the present invention. For those of ordinary skill in the art, various obvious changes, re-adjustments and substitutions can be made without departing from the protection scope of the present invention. It is not necessary and impossible to enumerate all the implementation manners here. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A method for diagnosing defects in a sewage pipe network, characterized in that: The steps include: S1, determining a monitoring area and a topological structure of a sewage pipe network within the monitoring area; S2, partitioning the sewage pipe network according to the topological structure of the sewage pipe network, specifically: Taking a sewage treatment plant (100) as a starting point, the sewage pipe network is divided into a plurality of parallel branches according to the direction of sewage flow, each branch being provided with n-level nodes, n-level trunk pipes and n-level drainage areas in sequence, n=1, 2, 3, ..., N, N being a positive integer; the starting point is a first-level node (1), the two ends of the n-level trunk pipe are respectively an n-level node and an (n+1)-level node, the n-level drainage area is connected to the n-level trunk pipe via an n-level branch pipe, each of the n-level branch pipes is provided with an n-level branch pipe node, and the n-level nodes and the n-level branch pipe nodes are both set as monitoring points; S3, collecting monitoring data of the plurality of monitoring points, wherein the monitoring data includes water flow and / or characteristic factors; S4: diagnose defects of the sewage pipe network according to the monitoring data.

2. The method for diagnosing defects in a sewage pipe network according to claim 1, characterized in that: In step S2, a plurality of inspection wells (101) are provided on the branch line and the branch pipe, and a plurality of monitoring points are arranged at the plurality of inspection wells (101).

3. The method for diagnosing defects in a sewage pipe network according to claim 2, characterized in that: In step S4, when the characteristic factor is the concentration of chemical oxygen demand COD, the standard oxygen demand concentration X of the monitoring area is used as the standard, and α is the concentration coefficient. If COD≥X, it indicates that the sewage pipe network is operating well and only needs regular maintenance; if αX≤COD<X, it indicates that the sewage pipe network is operating poorly and needs maintenance; If COD<αX, it indicates that the sewage pipe network is operating poorly and needs to be checked.

4. The method for diagnosing defects in a sewage pipe network according to claim 3, characterized in that: The concentration coefficient α satisfies: 0.5<α≤0.

7.

5. The method for diagnosing defects in a sewage pipe network according to claim 1, characterized in that: In step S4, when the characteristic factor is conductivity, if the conductivity is lower than a set conductivity value, it is considered that the sewage pipe network has defects.

6. The method for diagnosing defects in a sewage pipe network according to claim 1, characterized in that: In step S4, a sewage volume balance analysis and calculation of the sewage pipe network is performed according to the water flow, including the following steps: For the monitoring area, according to the tap water supply flow Q g总 and the influent flow rate Q of the sewage treatment plant (100) p总 , diagnose defects in the sewage pipe network; For the branch line, according to the tap water supply flow Q of the n-level drainage area gn支 and the water flow Q of the n-level branch node n支 , performing defect diagnosis on the n-level drainage area; For the n-level main pipe, according to the water flow Q of the (n+1)-level node (n+1)干 , the water flow Q of the n-level node n干 and the water flow Q of the n-level branch node n支 , perform defect diagnosis on the n-level main pipe.

7. The method for diagnosing defects in a sewage pipe network according to claim 6, characterized in that: For the monitoring area, the first balanced water flow Q1 is calculated: Q1=Q g总 *k-Q p总 ; Wherein, k is the drainage coefficient. When Q1<0, it indicates that the sewage pipe network has the defect of external water infiltration; when Q1>0, it indicates that the sewage pipe network has the defect of internal water leakage. For the branch line, calculate the second balanced water flow Q2: Q2=Q gn支 *k-Q n支 ; When Q2<0, it indicates that the n-level drainage area has an external water infiltration defect; when Q2>0, it indicates that the n-level drainage area has an internal water leakage defect; For the n-level main pipe, calculate the third balanced water flow Q3: Q3=Q n支 +Q (n+1)干 -Q n干 ; When Q3<0, it indicates that the n-level main pipe has an external water infiltration defect; when Q3>0, it indicates that the n-level main pipe has an internal water leakage defect.

8. The method for diagnosing defects in a sewage pipe network according to claim 7, characterized in that: The drainage coefficient k: 0<k<1.

9. A defect diagnosis system for a sewage pipe network, characterized in that: include: Monitoring equipment, multiple monitoring points are set in the sewage pipe network to be tested, each of the monitoring points is set at the inspection well (101), and each of the monitoring points is equipped with the monitoring equipment to obtain monitoring data; An online monitoring platform (107) is communicatively connected with the monitoring device to receive the monitoring data, and performs defect diagnosis on the sewage pipe network based on the monitoring data and preset data.

10. The defect diagnosis system for sewage pipe network according to claim 9, characterized in that: The monitoring equipment comprises a mounting frame (102) and a COD detector, an electrical conductivity detector and a water flow detector arranged on the mounting frame (102); the mounting frame (102) is arranged above the inlet of the inspection well (101); and the monitoring probes (103) of the COD detector, the electrical conductivity detector and the water flow detector are respectively arranged on the well wall of the corresponding inspection well (101).

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