Drainage pipeline clogging identification method and system

Abstract

The invention belongs to the technical field of drainage pipeline management, and particularly relates to a drainage pipeline clogging identification method and system. The clogging identification method comprises the steps that the flow velocity in each drainage pipeline, the liquid level of each drainage well and the biogas concentration are obtained regularly, and flow velocity data, liquid level data and biogas concentration data are obtained; based on the water flow velocity data, the liquid level data and the biogas concentration data, calculating a liquid level change speed score, an upstream and downstream elevation liquid level difference value score, a flow velocity score and a biogas concentration score of the current drainage well in the current time period; performing comprehensive calculation on all scores of the current drainage well in the current time period to obtain a comprehensive clogging evaluation value of the current drainage well in the current time period; the comprehensive clogging evaluation value is used for evaluating the clogging possibility of the drainage pipeline corresponding to the current drainage well in the current time period. According to the invention, the clogging condition in the drainage pipeline can be identified timely, accurately and efficiently.

Description

Technical Field

[0001] The present invention belongs to the technical field of drainage pipe management, and in particular relates to a drainage pipe blockage identification method and system. Background Art

[0002] With the acceleration of urbanization and the increase of urban population, the management of drainage pipes has become an important part of urban management. Among the problems that may occur in drainage pipes, the most harmful is the blockage of drainage pipes. Once the drainage pipes are blocked, they will cause the following hazards at the same time: first, flammable gases such as CH4 are generated in the drainage pipes, which poses a risk of explosion; second, toxic and harmful gases such as H2S are generated, which corrode the drainage pipes; third, the operation capacity of the pipes will be reduced, causing poor drainage.

[0003] Since drainage pipes are complicated and buried underground, it is unrealistic to rely on manual experience to judge or check the blockage points in drainage pipes. In the existing technology, CCTV detection technology (pipeline video detection technology) is used to provide real-time images in the pipeline, so as to find the blockage points in time; however, the equipment procurement and maintenance costs of CCTV detection technology are high. If the urban pipe network system is to be fully covered, it will put great economic pressure on the city's finances. In addition, CCTV detection is easily affected by factors such as debris and silt in the pipeline in actual operation, resulting in detection blind spots and misjudgments.

[0004] Therefore, how to timely, accurately and efficiently identify blockage points in drainage pipes has become an urgent problem to be solved in the field of drainage pipe management. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for identifying blockage in a drainage pipe, which can timely, accurately and efficiently identify the blockage in the drainage pipe.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A method for identifying blockage in a drainage pipe comprises the following steps:

[0008] The flow rate in each drainage pipe, the liquid level and biogas concentration of each drainage well are obtained regularly to obtain the flow rate data, liquid level data and biogas concentration data;

[0009] Based on the water flow velocity data, liquid level data and biogas concentration data, calculate the liquid level change speed score, upstream and downstream elevation liquid level difference score, flow velocity score and biogas concentration score of the current drainage well in the current time period;

[0010] After comprehensively calculating all the scores of the current drainage well in the current time period, a comprehensive evaluation value of the blockage of the current drainage well in the current time period is obtained; the comprehensive evaluation value of the blockage is used to evaluate the possibility of blockage of the drainage pipe corresponding to the current drainage well in the current time period.

[0011] Preferably, the flow rate data, liquid level data and biogas concentration data are obtained in the following manner:

[0012] A liquid level sensor and a biogas concentration sensor are installed in the drainage well, and a flow rate sensor is installed in the drainage pipe;

[0013] The sensor collects relevant data for calculating the comprehensive evaluation value of the blockage of the same drainage well at the same collection interval T. The relevant data for calculating the comprehensive evaluation value of the blockage of the same drainage well include: flow rate data of the upstream drainage pipe of the current drainage well, liquid level data of the current drainage well, and biogas concentration data of the current drainage well.

[0014] Preferably, missing data in the current time period is also filled, as follows:

[0015] The time when the sensor collects relevant data is recorded as t, and the missing data corresponding to time t is recorded as x(t).

[0016] Among them, t2 represents the previous collection time adjacent to time t, t1 represents the previous collection time adjacent to time t2, t1<t2<t, x(t1) represents the relevant data corresponding to time t1, x(t2) represents the data corresponding to time t2, and x(h) represents the historical relevant data corresponding to time t.

[0017] Preferably, the liquid level change speed score of the current drainage well in the current time period is calculated as follows:

[0018] According to the historical liquid level change speed of the current drainage well in the previous x years, determine the maximum range of the historical liquid level change speed of the current drainage well, and divide the maximum range of the historical liquid level change speed of the current drainage well into several groups;

[0019] The historical liquid level change rate of the current drainage well in the previous x years falls into the corresponding liquid level change rate range group, and the frequency distribution of the historical liquid level change rate of the current drainage well in the previous x years is obtained;

[0020] According to the frequency of each liquid level change speed range group in the same period of the previous x years, each liquid level change speed range group is assigned a score. The lower the frequency, the higher the score is assigned. The score range is [0,100];

[0021] The liquid level change speed score of the current drainage well in the current time period is recorded as Z1, then Z1 = the score of the liquid level change speed range group to which the liquid level change speed of the current drainage well in the current time period belongs;

[0022] The liquid level change rate of the current drainage well in the current time period is recorded as V: V = [H(t)-H(t2)] / (t-t2), where H(t) represents the liquid level data of the current drainage well at time t in the current time period, H(t2) represents the liquid level data of the current drainage well at time t2, and t2 represents the previous acquisition time adjacent to time t.

[0023] Preferably, the upstream and downstream elevation level difference score of the current drainage well in the current time period is calculated as follows:

[0024] After obtaining the historical liquid levels of the current drainage well and the corresponding downstream drainage well in the previous x years, calculate the average value D of the upstream and downstream elevation liquid level difference of the current drainage well. AVE and standard deviation σ;

[0025] Set the upstream and downstream elevation level difference of the current drainage well and assign points to the group: The current drainage wells include [D AVE -3σ, D AVE -2σ), [D AVE -2σ, D AVE -σ)、[D AVE -σ,D AVE ), [D AVE , D AVE +σ),[D AVE +σ,D AVE +2σ), [D AVE +2σ,D AVE +3σ] These 6 upstream and downstream elevation level difference assignment groups, [D AVE -3σ, D AVE -2σ) and [D AVE +2σ,D AVE +3σ] is assigned to P1, [D AVE -2σ, D AVE -σ) and [D AVE +σ,D AVE +2σ) is divided into P2, [D AVE -σ,D AVE ) and [D AVE , D AVE +σ) is assigned a score of P3, where 0≤P3<P2<P1≤100;

[0026] The upstream and downstream elevation level difference score of the current drainage well in the current time period is recorded as Z2, then Z2 = the score of the upstream and downstream elevation level difference scoring group to which the upstream and downstream elevation level difference of the current drainage well in the current time period belongs.

[0027] Optimum: Calculate the flow rate score of the current drainage well in the current time period, as follows:

[0028] After obtaining the average flow velocity in the upstream drainage pipe of the current drainage well in the previous y days, assign points to each flow velocity scoring group according to the median of each flow velocity scoring group in the previous y days. The flow velocity scoring group with a lower median has a higher score, and the scoring range is [0,100]. If the flow velocity scoring group with the highest median in the previous y days is not the flow velocity scoring group with the highest frequency, then the flow velocity scoring group with the highest frequency is assigned γ points.

[0029] The flow rate score of the current drainage well in the current time period is recorded as Z3, then Z3 = the score of the flow rate scoring group to which the flow rate of the current drainage well in the current time period belongs;

[0030] Calculate the biogas concentration score for the current drainage well in the current time period as follows:

[0031] Set up biogas concentration scoring groups and assign points to each gas concentration scoring group according to the median of each biogas concentration scoring group. The lower the median, the lower the score of the biogas concentration scoring group. The scoring range is [0,100];

[0032] The biogas concentration score of the current drainage well in the current time period is recorded as Z4, then Z4 = the score of the biogas concentration scoring group to which the biogas concentration of the current drainage well in the current time period belongs.

[0033] Preferably, relevant data for calculating the comprehensive evaluation value of siltation in the current time period of the same drainage well are collected within a first time interval ΔT1, ΔT1<T.

[0034] Preferably, the comprehensive evaluation value of the clogging of the current drainage well in the current time period is calculated as follows:

[0035] Z=Z1×W1+Z2×W2+Z3×W3+Z4×W4,

[0036] Among them, Z represents the comprehensive evaluation value of the blockage of the current drainage well in the current time period, W1 represents the first weight parameter, W2 represents the second weight parameter, W3 represents the third weight parameter, and W4 represents the fourth weight parameter, wherein 0<W1<1 and 0<W2<1 and 0<W3<1 and 0<W4<1 and W1+W2+W3+W4=1, Z1 represents the liquid level change speed score of the current drainage well in the current time period, Z2 represents the upstream and downstream elevation liquid level difference score of the current drainage well in the current time period, Z3 represents the flow rate score of the current drainage well in the current time period, and Z4 represents the biogas concentration score of the current drainage well in the current time period; the higher the comprehensive evaluation value of blockage, the more serious the blockage of the corresponding drainage well, and the more serious the blockage of the drainage wells at both ends of the drainage pipe, the more serious the blockage of the corresponding drainage pipe.

[0037] Preferably, the clogging possibilities corresponding to the comprehensive evaluation values ​​of clogging in different intervals are delineated, and the clogging possibilities are divided into two categories: clogging and no clogging. The comprehensive evaluation value of clogging of the upstream drainage well of a drainage pipeline is recorded as Z′, and the comprehensive evaluation value of clogging of the downstream drainage well is recorded as Z″. When the time periods to which Z′ and Z″ belong have an intersection:

[0038] If both Z′ and Z″ correspond to no blockage, then it is determined that the drainage pipe between the two adjacent drainage wells is not blocked; if Z′ corresponds to no blockage and Z″ corresponds to blockage, or Z″ corresponds to no blockage and Z′ corresponds to blockage, then it is determined that there may be blockage in the drainage pipe between the two adjacent drainage wells; if both Z′ and Z″ correspond to blockage, then it is determined that the drainage pipe between the two adjacent drainage wells is blocked; when the comprehensive evaluation value Z′ of blockage in the upstream drainage well of the tail-end drainage pipe corresponds to blockage, then it is determined that there may be blockage in the tail-end drainage pipe; when the comprehensive evaluation value Z′ of blockage in the upstream drainage well of the tail-end drainage pipe corresponds to no blockage, then it is determined that there is no blockage in the tail-end drainage pipe.

[0039] The present invention also provides a drainage pipe blockage identification system, comprising: a data acquisition module, a filling module, a calculation module, and a judgment module. The data acquisition module periodically obtains the flow rate in each drainage pipe, the liquid level and the biogas concentration of each drainage well, and then sends them to the filling module; the filling module fills the missing data in the current time period, and sends the filled data in the current time period to the calculation module; the calculation module calculates the comprehensive evaluation value of the blockage of the current drainage well in the current time period and sends it to the judgment module; the judgment module judges the possibility of blockage of the corresponding drainage pipe in the current time period according to the comprehensive evaluation value of the blockage, and notifies the technical staff to take corresponding measures; each module is programmed or configured to execute the steps of a drainage pipe blockage identification method as described above.

[0040] The beneficial effects of the present invention are:

[0041] (1) A drainage pipe blockage identification method of the present invention can calculate the comprehensive evaluation value of the blockage of the drainage well in the current time period based on the water flow rate data, liquid level data and biogas concentration data in the current time period, and timely, accurately and efficiently judge the possibility of blockage of the corresponding drainage pipe in the current time period, or even the type of blockage, according to the comprehensive evaluation value of the blockage of the drainage well, so that technical personnel can take corresponding measures in time. Without the need for technical personnel to go to the site for research and judgment in advance, the degree of blockage in the drainage pipe can be avoided from further aggravation, and the urban underground drainage pipe can be kept unobstructed as much as possible to avoid urban waterlogging, which greatly reduces the workload of technical personnel.

[0042] (2) The present invention determines the possibility and degree of clogging of the corresponding drainage pipeline based on the comprehensive evaluation value of clogging of drainage wells that have an intersection in the time periods belonging to both ends of the drainage pipeline, rather than just using the data of a certain drainage well. In addition, the comprehensive evaluation value of clogging of each drainage well is calculated based on the water flow rate data, liquid level data and biogas concentration data in the current time period that are directly related to the clogging situation. Therefore, the accuracy of the present invention in determining whether the drainage pipeline is blocked or not is extremely high.

[0043] (3) The present invention is fundamentally different from CCTV detection technology, so it is not easily affected by factors such as debris and sludge in the pipeline in actual operation, which leads to detection blind spots and misjudgment, unlike CCTV detection technology. In addition, the present invention is effective for a long time after one investment. That is, compared with the prior art, the present invention comprehensively determines the blockage of the drainage pipeline from multiple dimensions, and the blockage determination in the drainage pipeline is timely and accurate, and each determination takes a short time, which greatly improves the convenience of drainage pipeline maintenance and reduces the maintenance cost of the drainage pipeline.

[0044] (4) The main interference factor of the present invention is sensor abnormality. Compared with other existing technologies, the main interference factor of the present invention is already very small, and the present invention can well redundancy the interference caused by sensor abnormality, and maintain a stable and high accuracy rate for the blockage identification result of the drainage pipe.

[0045] (5) Because the blockage identification method of the present invention can timely and accurately determine the possibility of blockage in the drainage pipe and notify the technical staff to take corresponding desilting measures, after adopting the present invention, there should be relatively serious blockage in the drainage pipe, so naturally there will be no relevant data under serious blockage conditions, and there will be no problem that the relevant data under serious blockage conditions will interfere with the filling results, which further ensures the accuracy and stability of the blockage identification results. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flow chart of a method for identifying blockage in a drainage pipe according to the present invention;

[0047] Figure 2 Schematic diagram of the main drainage pipeline. DETAILED DESCRIPTION

[0048] In order to make the technical solution of the present invention clearer and more specific, the present invention is clearly and completely described below in conjunction with the accompanying drawings. Any equivalent replacement of the technical features of the technical solution of the present invention and any solution derived by conventional reasoning by ordinary technicians in the field without making any creative work shall fall within the protection scope of the present invention.

[0049] Example 1

[0050] The present invention provides a drainage pipe blockage identification method, which is used on the drainage pipes of the main pipe and the trunk pipe. The schematic diagram of the trunk drainage pipe is as follows: Figure 2 shown.

[0051] A method for identifying blockage in a drainage pipe, such as Figure 1 As shown, the following steps are included:

[0052] S1, regularly obtain the flow rate in each drainage pipe, the liquid level and biogas concentration of each drainage well.

[0053] The drainage well is a structure connecting adjacent drainage pipes. The downstream end of the head drainage pipe is connected to the drainage well, the upstream end of the tail drainage pipe is connected to the drainage well, and both ends of the other drainage pipes are connected to drainage wells.

[0054] S2, fill in the missing data in the current time period, and divide the data into flow rate data, liquid level data and biogas concentration data.

[0055] S3, based on the water flow velocity data, liquid level data and biogas concentration data, calculate the liquid level change speed score, upstream and downstream elevation liquid level difference score, flow velocity score and biogas concentration score of the current drainage well in the current time period.

[0056] S4, after comprehensively calculating all the scores of the current drainage well in the current time period, a comprehensive evaluation value of the clogging of the current drainage well in the current time period is obtained.

[0057] S5, judging the possibility of clogging of the corresponding drainage pipe in the current time period according to the comprehensive evaluation value of clogging.

[0058] Repeat S1 to S5 to continuously obtain the possibility of clogging of the corresponding drainage pipe in the latest time period.

[0059] Optionally, S5 also includes: notifying technical personnel to go to the corresponding drainage pipe to take corresponding measures according to the possibility of blockage in the current time period.

[0060] Repeat S1 to S5 to continuously obtain the possibility of clogging of the corresponding drainage pipe in the latest time period.

[0061] S1 also includes the following sub-steps:

[0062] S11, a liquid level sensor and a biogas concentration sensor are installed in the drainage well, and a flow rate sensor is installed in each drainage pipe.

[0063] In this embodiment, liquid level sensors such as ultrasonic liquid level sensors and pressure liquid level sensors are used to ensure that the liquid level sensors can cover the key areas of the drainage well and will not be unable to measure the liquid level when the liquid level changes sharply due to a short measuring range.

[0064] In this embodiment, a flow velocity sensor such as a Doppler effect flow velocity sensor, a turbine flow meter, etc. is used.

[0065] Optionally, the flow velocity sensor is set at the top of the inner wall of the drainage pipe. In the same pipe with the same cross-sectional area, the water at the bottom of the pipe is under strong pressure and has greater viscous resistance, while the water at the top is under less pressure and has less viscous resistance. Therefore, the water at the top of the same pipe will flow slightly faster than the water at the bottom. We set the flow velocity sensor at the top of the inner wall of the drainage pipe because once siltation occurs, the flow velocity of the water at the top of the same pipe will change more significantly. We must ensure that the flow velocity sensor can accurately capture the flow velocity data and its flow velocity changes in the drainage pipe.

[0066] In this embodiment, biogas concentration sensors such as electrochemical sensors and infrared sensors are used to ensure that the biogas concentration in the drainage well can be accurately monitored. In this embodiment, the biogas concentration is detected by detecting the methane concentration.

[0067] S12, the sensor collects relevant data for calculating the comprehensive evaluation value of the blockage of the same drainage well at the same collection interval T. The relevant data for calculating the comprehensive evaluation value of the blockage of the same drainage well include: the flow rate data of the upstream drainage pipe of the current drainage well, the liquid level data of the current drainage well, and the biogas concentration data of the current drainage well.

[0068] In this embodiment, the collection interval T for collecting relevant data for calculating the comprehensive evaluation value of clogging of the same drainage well is 10 minutes.

[0069] Optionally, relevant data for calculating the comprehensive evaluation value of siltation in the current time period of the same drainage well are collected within a first time interval △T1, △T1<T.

[0070] In this example, ΔT1 = 5 minutes.

[0071] For drainage well A with a collection interval of T = 10 minutes, the collection time of different relevant data can be different. For example, flow rate data is collected at 18:00, liquid level data is collected at 18:01, and biogas concentration data is collected at 18:02. It can be seen that these three sensor data are all collected within the first time interval △T1 = 5 minutes, and are all relevant data used to calculate the comprehensive evaluation value of clogging in the current time period. The current time period is [18:00, 18:10); the next time the relevant data of drainage well A are collected, the flow rate data is collected at 18:10, the liquid level data is collected at 18:11, and the biogas concentration data is collected at 18:12, which is used to calculate the comprehensive evaluation value of clogging in the next time period [18:10, 18:20).

[0072] like Figure 2 As shown, this is a section of main drainage pipeline, drainage pipeline I is the head end drainage pipeline, drainage pipeline V is the tail end drainage pipeline, drainage well A is the downstream drainage well of drainage pipeline I, drainage well A is the upstream drainage well of drainage pipeline II, drainage well B is the downstream drainage well of drainage pipeline II, drainage well B is the upstream drainage well of drainage pipeline III, drainage well C is the downstream drainage well of drainage pipeline III, drainage well C is the upstream drainage well of drainage pipeline IV, drainage well D is the downstream drainage well of drainage pipeline IV, and drainage well D is the upstream drainage well of drainage pipeline V.

[0073] In S2, missing data in the current time period are filled, and the following contents are also included:

[0074] The time when the sensor collects relevant data is recorded as t, and the missing data corresponding to time t is recorded as x(t).

[0075] but

[0076] Among them, t2 represents the previous collection time adjacent to time t, t1 represents the previous collection time adjacent to time t2, t1<t2<t, x(t1) represents the relevant data corresponding to time t1, x(t2) represents the data corresponding to time t2, and x(h) represents the historical relevant data corresponding to time t.

[0077] Optionally, x(h) may be the average value of relevant data for the same period in the previous m years corresponding to time t.

[0078] For example, t represents 18:01 on November 18, 2024, and the missing data is the liquid level data of drainage well A. Then the historical corresponding data for the same period corresponding to time t is the liquid level data of drainage well A at 18:01 on November 18, 2023; if there is no liquid level data at 18:01 for drainage well A on November 18, 2023, and only the liquid level data at 17:40 and 18:11 exist, then the liquid level data at 18:11, which is closest to 18:01, is taken as the historical corresponding data for the same period.

[0079] If x(h) is the average value of the relevant data of the previous m years corresponding to time t, when m=3, we take the historical data of the same period in 2021, 2022 and 2023 and take the average value.

[0080] From the above analysis, it can be seen that the sensor needs to collect certain relevant data at the upcoming time t within the current time period. When time t arrives, if the sensor has not collected the corresponding relevant data, the corresponding relevant data at time t will be judged as missing data, which means that the corresponding relevant data in the current time period is missing. The above filling method is used to fill the missing data in time. Therefore, each time the missing data is filled, the corresponding relevant data of the two collection moments before the missing data and the historical corresponding data corresponding to time t also exist (even the corresponding relevant data of the two collection moments before the missing data and the historical corresponding data corresponding to time t are also obtained through filling).

[0081] If the same relevant data of the same drainage well is missing for n consecutive times, the filling of the current missing data will be stopped, and an alarm will be issued to the technicians, notifying them to go to the sensor that collects the relevant data for inspection.

[0082] In this embodiment, n=5.

[0083] Although we can fill in the missing data, and fill in the missing data by combining the corresponding relevant data of the two collection moments before the missing data, the change trend, and the historical relevant data of the same period, this is not the real data after all, which will affect the calculation of the subsequent comprehensive evaluation value of siltation; and considering that the same relevant data of the same drainage well is missing for n consecutive times, it is very likely that the corresponding sensor is damaged, so when notifying the technicians to go to the corresponding sensor for maintenance, stop filling in the current missing data, and consider that filling in at this time is the nth consecutive time to fill in the same relevant data, and the filling result at this time may be far from the real data, so the filling result at this time has no value to be adopted.

[0084] When the same relevant data of the same drainage well is missing for n consecutive times, the filling of the current missing data will be stopped, and naturally the subsequent S3 to S5 will not be carried out.

[0085] In S3, the liquid level change speed score of the current drainage well in the current time period is calculated, which also includes S31a to S34a:

[0086] S31a, according to the historical liquid level change speed of the current drainage well in the previous x years, determine the maximum range of the historical liquid level change speed of the current drainage well in the same period, and divide the maximum range of the historical liquid level change speed of the current drainage well in the same period into several groups;

[0087] S32a, placing the historical liquid level change speed of the current drainage well in the previous x years into the corresponding liquid level change speed range group, and obtaining the frequency distribution of the historical liquid level change speed of the current drainage well in the previous x years;

[0088] S33a, assign points to each liquid level change speed range group according to the frequency of each liquid level change speed range group in the same period of the previous x years. The lower the frequency, the higher the score of the liquid level change speed range group. The score range is [0,100];

[0089] S34a, record the liquid level change speed score of the current drainage well in the current time period as Z1, then Z1 = the score of the liquid level change speed range group to which the liquid level change speed of the current drainage well in the current time period belongs;

[0090] The liquid level change rate of the current drainage well in the current time period is recorded as V: V = [H(t)-H(t2)] / (t-t2), unit: cm / min, where H(t) represents the liquid level data of the current drainage well corresponding to time t in the current time period, and H(t2) represents the liquid level data of the current drainage well corresponding to time t2 in the previous time period.

[0091] t is the time when the current drainage well collects liquid level data in the current time period, and t2 is the time when the current drainage well collects liquid level data in the previous time period, that is, the previous collection moment adjacent to time t.

[0092] The calculation method of the liquid level change rate during the historical period is the same as above and will not be repeated here.

[0093] In S31a, the following are also included:

[0094] According to the historical liquid level change speed of the current drainage well in the previous x years, a total of x historical liquid level change speed data are used to determine the maximum range of the historical liquid level change speed of the current drainage well Rmax = [0, R2]; wherein R2 represents the maximum boundary value of the maximum range Rmax; the maximum range Rmax of the historical liquid level change speed of the current drainage well is divided into 6 groups: [0, 50% R2], (50% R2, 60% R2], (60% R2, 70% R2], (70% R2, 80% R2], (80% R2, 90% R2], (90% R2, R2].

[0095] In S33a: For drainage well A, if in the historical liquid level change rate data in the previous x years, the groups arranged in descending order of frequency are: (70% R2, 80% R2], (60% R2, 70% R2], (80% R2, 90% R2], (90% R2, R2], (50% R2, 60% R2], [0, 50% R2], then the scores of these 6 groups will increase in this order.

[0096] R2 is determined by technicians based on the historical liquid level change rate of the current drainage well in the previous x years. It will be twice as large as the maximum value of the historical liquid level change rate in the previous x years. This ensures that the liquid level change rate V of the current drainage well calculated in S34a in the current time period will not belong to any liquid level change rate range group.

[0097] In S3, the upstream and downstream elevation level difference score of the current drainage well in the current time period is calculated, which also includes S31b~S33b:

[0098] S31b, after obtaining the historical liquid levels of the current drainage well and the corresponding downstream drainage well in the previous x years, calculate the average value D of the upstream and downstream elevation liquid level difference of the current drainage well AVE and standard deviation σ; the unit of elevation level is cm;

[0099] S32b, set the upstream and downstream elevation level difference of the current drainage well and assign points: the current drainage wells include [D AVE -3σ, D AVE -2σ), [D AVE -2σ, D AVE -σ)、[D AVE -σ,D AVE ), [D AVE , D AVE +σ),[D AVE +σ,D AVE +2σ), [D AVE +2σ,D AVE+3σ] These 6 upstream and downstream elevation level difference assignment groups, [D AVE -3σ, D AVE -2σ) and [D AVE +2σ,D AVE +3σ] is assigned to P1, [D AVE -2σ, D AVE -σ) and [D AVE +σ,D AVE +2σ) is divided into P2, [D AVE -σ,D AVE ) and [D AVE , D AVE +σ) is assigned a score of P3, where 0≤P3<P2<P1≤100;

[0100] S33b, record the upstream and downstream elevation level difference score of the current drainage well in the current time period as Z2, then Z2 = the score of the upstream and downstream elevation level difference scoring group to which the upstream and downstream elevation level difference of the current drainage well in the current time period belongs.

[0101] In S3, the flow rate score of the current drainage well in the current time period is calculated, which also includes S31c to S32c:

[0102] S31c, after obtaining the average flow velocity in the upstream drainage pipe of the current drainage well in the previous y days, set the flow velocity scoring group of the current drainage well and assign points, and assign points to each flow velocity scoring group according to the median of each flow velocity scoring group in the previous y days. The flow velocity scoring group with a lower median has a higher score, and the scoring range is [0,100]. If the flow velocity scoring group with the highest median in the previous y days is not the flow velocity scoring group with the highest frequency, then the flow velocity scoring group with the highest frequency is assigned γ points.

[0103] In this embodiment, γ=60.

[0104] In this embodiment, the average flow velocity FV in the upstream drainage pipe of the current drainage well in the previous y days is obtained. AVE After that, set [0, 60% FV AVE ), [60% FV AVE , 40% FV AVE ), [40% FV AVE , 20% FV AVE ), [FV AVE , +∞) are divided into four flow rate classification groups and assigned corresponding scores of G1, G2, G3, and G4, where 0≤G4<G3<G2<G1≤100.

[0105] In this embodiment, y=7.

[0106] For example [40% FV AVE , 20% FVAVE ) is the group with the highest frequency in the previous y days, then [0, 60% FV AVE ), [60% FV AVE , 40% FV AVE ), [40% FV AVE , 20% FV AVE ), [FV AVE , +∞) The scoring situations of these four flow rate scoring groups can be 100 points, 80 points, 60 points and 30 points.

[0107] The specific scoring values ​​of each flow rate scoring group are not intended to limit the present invention.

[0108] Generally speaking, in the first y days, the velocity scoring group with the highest frequency is the velocity scoring group with the highest median; because for the same drainage well A, the smoother the drainage pipe connected to the drainage well A, the greater the flow rate of the drainage well A, and the higher the median of the corresponding velocity scoring group. If the drainage well A and the adjacent drainage pipes are very smooth in the first y days, then the velocity scoring group with the highest median should also be the one with the highest frequency, which is the ideal situation we hope for. However, if in the first y days, the drainage pipe connected to the drainage well A has some silt for most of the time, but no serious siltation occurs (the velocity of the drainage well A in this case is V'), and the silt is washed away by the water flow for a small part of the time and is very smooth (the velocity of the drainage well A in this case is V*), then V*>V', the median of the velocity scoring group where V* is located is>the median of the velocity scoring group where V' is located, but the frequency of the velocity scoring group where V' is located is>the frequency of the liquid level change speed range group where V* is located. Therefore, we have taken this situation into consideration in S31c. Under the premise that "the lower the median of the flow rate scoring group, the higher the score of the flow rate scoring group", we have further limited it to "if the flow rate scoring group with the highest median in the previous y days is not the group with the highest frequency, then the flow rate scoring group with the highest frequency will be assigned γ points (γ=60)" to make the scoring of each flow rate scoring group more reasonable.

[0109] S32c, record the flow rate score of the current drainage well in the current time period as Z3, then Z3 = the score of the flow rate scoring group to which the flow rate of the current drainage well in the current time period belongs.

[0110] In S3, the biogas concentration score of the current drainage well in the current time period is calculated, including S31d to S32d:

[0111] S31d, technicians set up biogas concentration scoring groups based on experience and assign scores to each biogas concentration scoring group according to the median of each biogas concentration scoring group. The lower the median, the lower the score of the biogas concentration scoring group. The scoring range is [0,100].

[0112] S32d, record the biogas concentration score of the current drainage well in the current time period as Z4, then Z4 = the score of the biogas concentration scoring group to which the biogas concentration of the current drainage well in the current time period belongs.

[0113] In this embodiment, the technicians set up three biogas concentration scoring groups [0, 5VOL%), [5VOL%, 20VOL%), [20VOL%, +∞) based on experience, and assigned K1, K2, and K3 accordingly, where 0≤K1<K2<K3≤100. VOL% represents the percentage of methane gas volume in the air. The more serious the clogging of the drainage well is, the higher the biogas concentration in the drainage well is.

[0114] The following are also included in S4:

[0115] Z=Z1×W1+Z2×W2+Z3×W3+Z4×W4,

[0116] Among them, Z represents the comprehensive evaluation value of siltation of the current drainage well in the current time period, W1 represents the first weight parameter, W2 represents the second weight parameter, W3 represents the third weight parameter, and W4 represents the fourth weight parameter, where 0<W1<1 and 0<W2<1 and 0<W3<1 and 0<W4<1 and W1+W2+W3+W4=1.

[0117] In this embodiment, for the coastal plain area with sufficient rainfall, W1=0.25, W2=0.38, W3=0.21, and W4=0.16.

[0118] The following are also included in S5:

[0119] The technicians define the possibility of clogging corresponding to the comprehensive evaluation value of clogging in different intervals. The possibility of clogging is divided into two categories: clogging and no clogging. The value range of the comprehensive evaluation value of clogging is [0,100]. The higher the comprehensive evaluation value of clogging, the more serious the clogging of the corresponding drainage well; the more serious the clogging of the drainage wells at both ends of the drainage pipeline, the more serious the clogging of the corresponding drainage pipeline. In this embodiment, if the comprehensive evaluation value of clogging is (70,100], it is determined that the current drainage well is blocked; if the comprehensive evaluation value of clogging is [0,70], it is determined that the current drainage well is not blocked.

[0120] The comprehensive evaluation value of the clogging of the upstream drainage well of a drainage pipeline is recorded as Z′, and the comprehensive evaluation value of the clogging of the downstream drainage well is recorded as Z″. When the time periods to which Z′ and Z″ belong have an intersection:

[0121] If both Z′ and Z″ correspond to no clogging, it is determined that the drainage pipe between the two adjacent drainage wells is not clogging;

[0122] If Z′ corresponds to no siltation and Z″ corresponds to siltation, or Z″ corresponds to no siltation and Z′ corresponds to siltation, it is determined that the drainage pipe between the two adjacent drainage wells may be silted;

[0123] If both Z′ and Z″ correspond to blockage, it is determined that the drainage pipe between the two adjacent drainage wells is blocked.

[0124] When the comprehensive evaluation value Z″ of the clogging of the downstream drainage well of the head-end drainage pipe corresponds to clogging, it is determined that the head-end drainage pipe may be clogging; when the comprehensive evaluation value Z″ of the clogging of the downstream drainage well of the head-end drainage pipe corresponds to no clogging, it is determined that the head-end drainage pipe is not clogging.

[0125] When the comprehensive evaluation value Z′ of the clogging of the upstream drainage well of the tail-end drainage pipe corresponds to clogging, it is determined that the tail-end drainage pipe may be clogging; when the comprehensive evaluation value Z′ of the clogging of the upstream drainage well of the tail-end drainage pipe corresponds to no clogging, it is determined that the tail-end drainage pipe is not clogging.

[0126] If the drainage pipe is determined to be possibly clogged, the technical staff will be notified to go to the corresponding drainage pipe to troubleshoot the problem; if the drainage pipe is determined to be clogged, the technical staff will be notified to go to the corresponding drainage pipe to take corresponding dredging measures.

[0127] In this embodiment, the technicians, based on their experience and after many tests, divide the possibility of blockage into three types of blockage: mild blockage, moderate blockage and severe blockage. The corresponding relationship between the interval of the comprehensive evaluation value Z of blockage and the possibility of blockage is specifically shown in Table 1.

[0128] Table 1 Correspondence between comprehensive evaluation value interval of clogging and clogging possibility and clogging type

[0129]

[0130] Optionally, when the time periods to which Z′ and Z″ belong have an intersection, if Z′ and Z″ correspond to the same blockage type, then the drainage pipe between the two adjacent drainage wells is determined to be of the corresponding blockage type: if the blockage types corresponding to Z′ and Z″ are different, then the blockage type of the drainage well with a higher comprehensive evaluation value of blockage is used as the blockage type of the corresponding drainage pipe.

[0131] When the clogging type of the drainage pipe is determined to be severe clogging, β1 technicians are notified to immediately go to the corresponding drainage pipe for dredging; in this embodiment, β1=6.

[0132] When the blockage type of the drainage pipe is determined to be moderate blockage, β2 technicians are notified to immediately go to the corresponding drainage pipe for desilting; in this embodiment, β2=3.

[0133] When the blockage type of the drainage pipe is determined to be mild blockage, β3 technicians are notified to go to the corresponding drainage pipe for desilting within α time; in this embodiment, β3=1, α=2 days.

[0134] The corresponding dredging measures in this embodiment are not intended to limit the present invention. The present invention can be configured to monitor only the corresponding drainage pipe when there is slight siltation, and then notify the technicians to go to the corresponding drainage pipe when the siltation of the corresponding drainage pipe worsens.

[0135] The possible reasons for the drainage pipe being judged as "possibly clogged" are: ① There is indeed very slight clog in the drainage pipe; ② There is no clog in the drainage pipe, but the sensor failure leads to data collection errors. Therefore, if the drainage pipe is judged to be possibly clogged, the present invention will notify the technician to go to the corresponding drainage pipe to troubleshoot the problem. If the cause is found to be ②, the faulty sensor will be repaired. If the cause is found to be ①, the very slight clog in the drainage pipe will be cleared when convenient (if the personnel are currently tight or the current drainage pipe is temporarily unsuitable for work, it is an "inconvenient situation" and the very slight clog in the drainage pipe may not be cleared temporarily).

[0136] The drainage pipe blockage identification method of the present invention is used to identify blocked pipes. For drainage pipes that are blocked by the present invention, after verification by technicians, the accuracy of the corresponding drainage pipes actually being blocked is as high as 92.6%; for drainage pipes that are not blocked by the present invention, after random inspection by technicians, 100% of them are not blocked; for drainage pipes that may be blocked by the present invention, some drainage pipes do have a certain degree of blockage, and some are sensor failures. For drainage pipes that are blocked, after verification by technicians, the accuracy of determining the type of blockage is as high as 78.3%.

[0137] In a drainage pipe blockage identification method of the present invention, the comprehensive evaluation value of the blockage of the drainage well in the current time period can be calculated based on the water flow velocity data, liquid level data and biogas concentration data in the current time period, and the possibility of blockage of the corresponding drainage pipe in the current time period, and even the type of blockage, can be timely, accurately and efficiently judged according to the comprehensive evaluation value of the blockage of the drainage well, so as to facilitate technical personnel to take corresponding measures in time. Without the need for technical personnel to go to the site for research and judgment in advance, the degree of blockage in the drainage pipe can be avoided from further aggravation, and the smooth flow of urban underground drainage pipes can be guaranteed as much as possible to avoid urban waterlogging, which greatly reduces the workload of technical personnel.

[0138] The present invention determines the possibility and degree of clogging of the corresponding drainage pipeline based on the comprehensive evaluation value of the clogging of the drainage wells that have an intersection in the time periods at both ends of the drainage pipeline, rather than just using the data of a certain drainage well. In addition, the comprehensive evaluation value of the clogging of each drainage well is calculated based on the water flow velocity data, liquid level data and biogas concentration in the current time period, which are directly related to the clogging situation. Therefore, the accuracy of the drainage pipelines with and without clogging determined by the present invention is extremely high; and the drainage pipelines that may be blocked by the present invention are basically found to have very slight clogging or sensor failures for collecting data after investigation by technical personnel. That is, compared with the prior art, the present invention comprehensively determines the clogging situation of the drainage pipeline from multiple dimensions, and the clogging judgment in the drainage pipeline is timely and accurate, and each judgment takes a short time, which greatly improves the convenience of drainage pipeline maintenance and reduces the maintenance cost of the drainage pipeline. The present invention is fundamentally different from CCTV detection technology, so it is not easily affected by factors such as debris and sludge in the pipeline in actual operation, which leads to detection blind spots and misjudgment, and the present invention is effective for a long time after one investment. The comparison of the present invention and the prior art in various aspects is shown in Table 2.

[0139] Table 2 Comparison of the effects of the present invention and the prior art in various aspects

[0140]

[0141] The main interference factor of the present invention is sensor abnormality. Compared with other prior arts, the main interference factor of the present invention is very few. Sensor abnormality is mainly divided into two categories: the first type of abnormality is that the corresponding relevant data cannot be collected, and the second type of abnormality is that the collected relevant data is wrong. The first type of abnormality will cause missing data in the process of collecting data in the present invention. However, the present invention explains in S2 how to combine the corresponding relevant data of the first two moments and the historical relevant data of the same period to fill the missing data, so as to strive to make the result after filling closer to the true value of the missing data; at the same time, the present invention also takes into account that the filled data is not real data after all, so once the number of consecutive fillings increases, the filling result may be far from the real data, and the filling result has no value to be adopted, so the present invention sets the maximum number of consecutive fillings of missing data n. Once the continuous filling exceeds n times, the technician is notified to go to the sensor where the relevant data is collected for maintenance. This continuous data loss is most likely not a signal problem in the transmission, but a problem with the sensor itself; and in the present invention, both the real data and the filling result may be used to fill the subsequent missing data, so the maximum number of consecutive fillings of missing data in the present invention is also to ensure the accuracy of the subsequent missing data filling. The second type of abnormality will result in different blockage possibilities or types corresponding to the comprehensive evaluation values ​​of blockage of the drainage wells at both ends of the same drainage pipe, which have overlapping time periods in the present invention. After the present invention defines this situation as "possible blockage", it will notify the technicians to go to the corresponding drainage pipe to troubleshoot the problem. That is, the interference factor in the drainage pipe blockage identification method of the present invention is only the sensor abnormality, and the present invention can well redundancy the interference caused by the sensor abnormality, and maintain a stable and high accuracy of the drainage pipe blockage identification result.

[0142] Furthermore, because the blockage identification method of the present invention is used, the possibility of blockage in the drainage pipe can be judged in a timely and accurate manner and the technical personnel can be notified to take corresponding desilting measures. Therefore, after adopting the present invention, there should be relatively serious blockage in the drainage pipe, so naturally there will be no relevant data under serious blockage conditions, and there will be no problem that the relevant data under serious blockage conditions will interfere with the filling results, which further ensures the accuracy and stability of the blockage identification results.

[0143] Example 2

[0144] The present invention also provides a drainage pipe blockage identification system, comprising:

[0145] Data collection module, filling module, calculation module, judgment module,

[0146] The data acquisition module regularly obtains the flow rate in each drainage pipe, the liquid level and biogas concentration of each drainage well, and then sends them to the filling module;

[0147] The filling module fills in the missing data in the current time period and sends the filled data in the current time period to the calculation module;

[0148] The calculation module calculates the comprehensive evaluation value of the clogging of the current drainage well in the current time period and sends it to the judgment module.

[0149] The judgment module determines the possibility of blockage of the corresponding drainage pipe in the current time period according to the comprehensive evaluation value of blockage, and notifies the technical staff to take corresponding measures.

[0150] Each module is programmed or configured to execute the steps of a drainage pipe blockage identification method as described in Example 1.

[0151] The techniques, shapes, and structural parts not described in detail in the present invention are all well-known techniques.

[0152] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for identifying blockage in a drainage pipe, characterized in that: The following steps are involved: The flow rate in each drainage pipe, the liquid level and biogas concentration of each drainage well are obtained regularly to obtain the flow rate data, liquid level data and biogas concentration data; Based on the water flow velocity data, liquid level data and biogas concentration data, calculate the liquid level change speed score, upstream and downstream elevation liquid level difference score, flow velocity score and biogas concentration score of the current drainage well in the current time period; After comprehensively calculating all the scores of the current drainage well in the current time period, a comprehensive evaluation value of the blockage of the current drainage well in the current time period is obtained; the comprehensive evaluation value of the blockage is used to evaluate the possibility of blockage of the drainage pipe corresponding to the current drainage well in the current time period.

2. A method for identifying drainage pipe blockage according to claim 1, characterized in that: The flow rate data, liquid level data and biogas concentration data are obtained as follows: A liquid level sensor and a biogas concentration sensor are installed in the drainage well, and a flow rate sensor is installed in the drainage pipe; The sensor collects relevant data for calculating the comprehensive evaluation value of the blockage of the same drainage well at the same collection interval T. The relevant data for calculating the comprehensive evaluation value of the blockage of the same drainage well include: flow rate data of the upstream drainage pipe of the current drainage well, liquid level data of the current drainage well, and biogas concentration data of the current drainage well.

3. A method for identifying drainage pipe blockage according to claim 2, characterized in that: The missing data in the current time period are also filled as follows: The time when the sensor collects relevant data is recorded as t, and the missing data corresponding to time t is recorded as x(t). Among them, t2 represents the previous collection time adjacent to time t, t1 represents the previous collection time adjacent to time t2, t1<t2<t, x(t1) represents the relevant data corresponding to time t1, x(t2) represents the data corresponding to time t2, and x(h) represents the historical relevant data corresponding to time t.

4. A method for identifying drainage pipe blockage according to claim 1, characterized in that: Calculate the liquid level change rate score of the current drainage well in the current time period as follows: According to the historical liquid level change speed of the current drainage well in the previous x years, determine the maximum range of the historical liquid level change speed of the current drainage well, and divide the maximum range of the historical liquid level change speed of the current drainage well into several groups; The historical liquid level change rate of the current drainage well in the previous x years falls into the corresponding liquid level change rate range group, and the frequency distribution of the historical liquid level change rate of the current drainage well in the previous x years is obtained; According to the frequency of each liquid level change speed range group in the same period of the previous x years, each liquid level change speed range group is assigned a score. The lower the frequency, the higher the score is assigned. The score range is [0,100]; The liquid level change speed score of the current drainage well in the current time period is recorded as Z1, then Z1 = the score of the liquid level change speed range group to which the liquid level change speed of the current drainage well in the current time period belongs; The liquid level change rate of the current drainage well in the current time period is recorded as V: V = [H(t)-H(t2)] / (t-t2), where H(t) represents the liquid level data of the current drainage well at time t in the current time period, H(t2) represents the liquid level data of the current drainage well at time t2, and t2 represents the previous acquisition time adjacent to time t.

5. A method for identifying drainage pipe blockage according to claim 1, characterized in that: Calculate the upstream and downstream elevation level difference score of the current drainage well in the current time period, as follows: After obtaining the historical liquid levels of the current drainage well and the corresponding downstream drainage well in the previous x years, calculate the average value D of the upstream and downstream elevation liquid level difference of the current drainage well. AVE and standard deviation σ; Set the upstream and downstream elevation level difference of the current drainage well and assign points to the group: The current drainage wells include [D AVE -3σ, D AVE -2σ), [D AVE -2σ, D AVE -σ)、[D AVE -σ,D AVE ), [D AVE , D AVE +σ),[D AVE +σ,D AVE +2σ), [D AVE +2σ,D AVE +3σ] These 6 upstream and downstream elevation level difference assignment groups, [D AVE -3σ, D AVE -2σ) and [D AVE +2σ,D AVE +3σ] is assigned to P1, [D AVE -2σ, D AVE -σ) and [D AVE +σ,D AVE +2σ) is divided into P2, [D AVE -σ,D AVE ) and [D AVE , D AVE +σ) is assigned a score of P3, where 0≤P3<P2<P1≤100; The upstream and downstream elevation level difference score of the current drainage well in the current time period is recorded as Z2, then Z2 = the score of the upstream and downstream elevation level difference scoring group to which the upstream and downstream elevation level difference of the current drainage well in the current time period belongs.

6. A method for identifying blockage in a drainage pipe according to claim 1, characterized in that: Calculate the flow rate score for the current drainage well during the current time period as follows: After obtaining the average flow velocity in the upstream drainage pipe of the current drainage well in the previous y days, assign points to each flow velocity scoring group according to the median of each flow velocity scoring group in the previous y days. The flow velocity scoring group with a lower median has a higher score, and the scoring range is [0,100]. If the flow velocity scoring group with the highest median in the previous y days is not the flow velocity scoring group with the highest frequency, then the flow velocity scoring group with the highest frequency is assigned γ points. The flow rate score of the current drainage well in the current time period is recorded as Z3, then Z3 = the score of the flow rate scoring group to which the flow rate of the current drainage well in the current time period belongs; Calculate the biogas concentration score for the current drainage well in the current time period as follows: Set up biogas concentration scoring groups and assign points to each gas concentration scoring group according to the median of each biogas concentration scoring group. The lower the median, the lower the score of the biogas concentration scoring group. The scoring range is [0,100]; The biogas concentration score of the current drainage well in the current time period is recorded as Z4, then Z4 = the score of the biogas concentration scoring group to which the biogas concentration of the current drainage well in the current time period belongs.

7. A method for identifying blockage in a drainage pipe according to claim 2, characterized in that: The relevant data used to calculate the comprehensive evaluation value of siltation of the same drainage well in the current time period are collected within the first time interval △T1, △T1<T.

8. A method for identifying blockage in a drainage pipe according to any one of claims 1 to 7, characterized in that: Calculate the comprehensive evaluation value of the clogging of the current drainage well in the current time period, as follows: Z=Z1×W1+Z2×W2+Z3×W3+Z4×W4, Wherein, Z represents the comprehensive evaluation value of the clogging of the current drainage well in the current time period, W1 represents the first weight parameter, W2 represents the second weight parameter, W3 represents the third weight parameter, and W4 represents the fourth weight parameter, wherein 0<W1<1 and 0<W2<1 and 0<W3<1 and 0<W4<1 and W1+W2+W3+W4=1, Z1 represents the liquid level change speed score of the current drainage well in the current time period, Z2 represents the upstream and downstream elevation liquid level difference score of the current drainage well in the current time period, Z3 represents the flow rate score of the current drainage well in the current time period, and Z4 represents the biogas concentration score of the current drainage well in the current time period; The higher the comprehensive evaluation value of clogging is, the more serious the clogging of the corresponding drainage well is; the more serious the clogging of the drainage wells at both ends of the drainage pipe is, the more serious the clogging of the corresponding drainage pipe is.

9. A method for identifying drainage pipe blockage according to claim 8, characterized in that: The siltation possibility corresponding to the comprehensive evaluation value of siltation in different intervals is delineated. The siltation possibility is divided into two categories: siltation and no siltation. The comprehensive evaluation value of siltation of the upstream drainage well of a drainage pipeline is recorded as Z′, and the comprehensive evaluation value of siltation of the downstream drainage well is recorded as Z″. When the time periods to which Z′ and Z″ belong have an intersection: If both Z′ and Z″ correspond to no siltation, it is determined that the drainage pipe between the two adjacent drainage wells is not silted; if Z′ corresponds to no siltation and Z″ corresponds to siltation, or Z″ corresponds to no siltation and Z′ corresponds to siltation, it is determined that the drainage pipe between the two adjacent drainage wells may be silted; if both Z′ and Z″ correspond to siltation, it is determined that the drainage pipe between the two adjacent drainage wells is silted; When the comprehensive evaluation value Z′ of the clogging of the upstream drainage well of the tail-end drainage pipe corresponds to clogging, it is determined that the tail-end drainage pipe may be clogging; when the comprehensive evaluation value Z′ of the clogging of the upstream drainage well of the tail-end drainage pipe corresponds to no clogging, it is determined that the tail-end drainage pipe is not clogging.

10. A drainage pipe blockage identification system, characterized in that: include: Data acquisition module, filling module, calculation module, and judgment module. The data acquisition module regularly obtains the flow rate in each drainage pipe, the liquid level and biogas concentration of each drainage well, and then sends them to the filling module; the filling module fills the missing data in the current time period, and sends the filled data in the current time period to the calculation module; the calculation module calculates the comprehensive evaluation value of the clogging of the current drainage well in the current time period and sends it to the judgment module; the judgment module judges the possibility of clogging of the corresponding drainage pipe in the current time period according to the comprehensive evaluation value of clogging, and notifies the technical personnel to take corresponding measures; Each module is programmed or configured to execute the steps of a drainage pipe blockage identification method as described in any one of claims 1-9.

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