Drainage pipe network clogging rapid diagnosis method and system based on liquid level instrument

Abstract

The application provides a sewer network clogging rapid diagnosis method and system based on a liquid level instrument, comprising the following steps: step 1: obtaining a drainage area, a flow direction and a liquid level instrument distribution point of a sewer network, and performing drainage area and liquid level instrument numbering; step 2: calculating and analyzing water quantity change of a drainage well in a same drainage area range within a same falling period; step 3: performing clogging identification, silt accumulation identification, drainage anomaly identification and overflow identification according to the water quantity change; and step 4: performing pre-grade difference and post-grade difference analysis on a connection point with a pipe network elevation difference in the area. The application performs rapid diagnosis on sewer network clogging based on the liquid level instrument, on the one hand, the clogging condition of the pipe network is confirmed through the water level change amount, so that the clogging problem can be found in time and solved in time; on the other hand, the method is economic and efficient, and the method can be popularized through the liquid level instrument, and the application range is extremely wide.

Description

Technical Field

[0001] This invention relates to the field of drainage pipe network blockage diagnosis technology, specifically to a rapid diagnosis method and system for drainage pipe network blockage based on a level gauge. Background Technology

[0002] Urban drainage pipe systems are the underground lifelines of a city. Blockages, siltation, abnormal drainage, and overflows in the pipe network are important factors leading to poor drainage and urban flooding. Because sewage contains certain solid and semi-solid impurities, it is easy to accumulate during the flow process, thereby reducing the water carrying capacity of the pipes. Sometimes, it can even lead to partial or complete blockage of the pipes, resulting in a loss of water carrying capacity. At the same time, routine inspections cannot be carried out due to the pipes being full of water.

[0003] Currently, the main methods for detecting poor drainage include traditional methods and the introduction of pipeline inspection technologies. Traditional underground drainage network management relies entirely on manual labor and experience; repairs are only carried out where water accumulates on the road surface, intervening only after problems occur. The disadvantages are delayed problem detection, potential hazards, and reliance on experience and reactive repairs. Introduced pipeline inspection technologies include QV inspection, pipe section sonar inspection, and pipeline endoscope (CCTV) inspection. The disadvantages are that inspection requires significant manpower and resources, the inspection content is comprehensive, and the inspection work is affected by the external environment, leading to reduced accuracy. Because the target of pipeline measurement is in a complex and changing internal environment (pressure, temperature, corrosion, etc.) and external environment (surrounding soil, corrosion, third-party interference, etc.), the inspection process is affected by these factors, reducing accuracy. Due to the influence of internal inspection environmental conditions and other factors, the reliability and accuracy of current internal inspection methods for detecting, describing, locating, and determining the size of defects remain unstable and inaccurate.

[0004] Patent document CN107355686A (application number: CN201710431959.4) discloses a method for detecting blockage faults in drainage pipes. The method includes: installing a detection device for drainage pipe blockage faults; selecting known fault-free / faulty sections of the pipe for detection; a computer acquiring signals under two operating conditions from a receiving end; acquiring acoustic response signals of the drainage pipe under the two operating conditions; performing SVD decomposition on the acoustic response signals; extracting energy entropy and approximate entropy indices; merging the extraction results of the two indices as an initial feature vector set; using the distance separability criterion method to obtain intra-class and inter-class discrete matrices from the obtained energy entropy feature vector set, approximate entropy feature vector set, and initial feature vector set; calculating the weights of the energy entropy index and the approximate entropy index; weighting each feature vector set to obtain a new feature vector set; and training a random forest classifier with the feature vector set to obtain a fault identification model. This patent does not use a level gauge, making it impossible to confirm the blockage status of the pipe network through water level changes. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a rapid diagnostic method and system for drainage pipe network blockage based on a level gauge.

[0006] The rapid diagnostic method for drainage pipe network blockage based on a level gauge provided by the present invention includes:

[0007] Step 1: Obtain the drainage areas, flow direction, and level gauge locations of the drainage network, and number the drainage areas and level gauges;

[0008] Step 2: Calculate and analyze the water volume changes of drainage wells within the same drainage area during the same drainage cycle;

[0009] Step 3: Identify blockages, silt accumulation, drainage anomalies, and overflows based on changes in water volume;

[0010] Step 4: For connection points with different pipeline standards within the area, perform analysis before and after the difference.

[0011] Preferably, step 2 includes:

[0012] Step 2.1: Determine the water level change pattern by analyzing the water level drop characteristics of the wells in the drainage area;

[0013] Step 2.2: Based on the monitoring values ​​and time information of the point level gauges, calculate the changes in well level and time in the area to obtain the rate of change of level over time;

[0014] Step 2.3: Based on the water level change pattern and liquid level change rate over time, combined with the fingerprint characteristics of monitoring values ​​and big data analysis, calculate the average value of water volume change in the drainage area. If the average value exceeds the preset range, an alarm will be triggered.

[0015] Preferably, the blockage identification includes:

[0016] When the water level drops, calculate the water volume during the entire cycle of the nth manhole water level drop:

[0017]

[0018] Among them, L n This represents the change in water volume in the nth well during the entire cycle of the liquid level decline phase; a t This represents the liquid level of manhole n at monitoring time t during the liquid level decline phase; a t -a t+1 This represents the difference in liquid level between well n at monitoring time points t and t+1 during the liquid level decline phase; s n The area of ​​manhole n is represented; ΔT represents the period of water level drop.

[0019] Let L n Let L1 be the water volume of the manhole closest to the pumping station, and L2 be the water volume of the manhole farthest from the pumping station. Then:

[0020]

[0021] Among them, D d D indicates the number of days for monitoring liquid level at designated points within the area. d Starting from 1 to K, K≥30; m d This represents the K liquid level differences; i is the manhole sequence index;

[0022] For K liquid level differences, the confidence interval μ is m d Mean, σ is m d variance;

[0023] Where Z is the quantile of the normal distribution;

[0024] If L i (D d ) <L i (D d-1 If ), then it indicates that a i The fluid level in the No. 1 manhole is abnormal, indicating blockage.

[0025] Preferably, the sludge accumulation identification includes: determining whether an overall rise in the waveform of the liquid level has occurred by comparing years; if so, sludge accumulation exists.

[0026] The drainage anomaly identification includes: for liquid level curves that show abrupt changes, determining on-site whether a drainage anomaly has occurred.

[0027] Preferably, the overflow detection includes:

[0028] The internal alarm of the level gauge is triggered when the liquid level exceeds the wellhead level.

[0029] The liquid level is divided into a normal zone, a secondary alarm zone, and a primary alarm zone, each with two threshold lines.

[0030] When the level gauge detects a level 2 or level 1 alarm value, it immediately sends an alarm to the platform; if no alarm cancellation value of the same level is received, the device will no longer send an alarm of the same level.

[0031] When the level gauge detects the level 2 alarm cancellation value or the level 1 alarm cancellation value twice consecutively, it immediately sends an alarm to the platform to cancel the alarm.

[0032] When the platform receives an alarm from the equipment, it issues instructions to the equipment as needed, including changing the frequency at which the equipment uses the liquid level.

[0033] The rapid diagnostic system for drainage pipe network blockage based on a level gauge provided by the present invention includes:

[0034] Module M1: Obtain the drainage areas, flow direction, and level gauge locations of the drainage network, and assign numbers to the drainage areas and level gauges;

[0035] Module M2: Calculates and analyzes the water volume changes of drainage wells within the same drainage area during the same drainage cycle;

[0036] Module M3: Identifies blockages, silt accumulation, drainage anomalies, and overflows based on changes in water volume;

[0037] Module M4: Performs pre- and post-level analysis on connection points within the area where there are differences in pipeline standards.

[0038] Preferably, the module M2 includes:

[0039] Module M2.1: Determine the water level change pattern by analyzing the water level drop characteristics of wells in the drainage area;

[0040] Module M2.2: Based on the monitoring values ​​and time information of the distributed level gauges, calculate the changes in well level and time in the area, and obtain the rate of change of level over time;

[0041] Module M2.3: Based on the water level change pattern and liquid level change rate over time, combined with the fingerprint characteristics of monitoring values ​​and big data analysis, calculate the average value of water volume change in the drainage area. If the average value exceeds the preset range, an alarm will be triggered.

[0042] Preferably, the blockage identification includes:

[0043] When the water level drops, calculate the water volume during the entire cycle of the nth manhole water level drop:

[0044]

[0045] Among them, L n This represents the change in water volume in the nth well during the entire cycle of the liquid level decline phase; a t This represents the liquid level of manhole n at monitoring time t during the liquid level decline phase; a t -a t+1 This represents the difference in liquid level between well n at monitoring time points t and t+1 during the liquid level decline phase; s n The area of ​​manhole n is represented; ΔT represents the period of water level drop.

[0046] Let L n Let L1 be the water volume of the manhole closest to the pumping station, and L2 be the water volume of the manhole farthest from the pumping station. Then:

[0047]

[0048] Among them, D d D indicates the number of days for monitoring liquid level at designated points within the area. d Starting from 1 to K, K≥30; m d This represents the K liquid level differences; i is the manhole sequence index;

[0049] For K liquid level differences, the confidence interval μ is m d Mean, σ is m d variance;

[0050] Where Z is the quantile of the normal distribution;

[0051] If L i (D d ) <L i (D d-1 If ), then it indicates that a i The fluid level in the No. 1 manhole is abnormal, indicating blockage.

[0052] Preferably, the sludge accumulation identification includes: determining whether an overall rise in the waveform of the liquid level has occurred by comparing years; if so, sludge accumulation exists.

[0053] The drainage anomaly identification includes: for liquid level curves that show abrupt changes, determining on-site whether a drainage anomaly has occurred.

[0054] Preferably, the overflow detection includes:

[0055] The internal alarm of the level gauge is triggered when the liquid level exceeds the wellhead level.

[0056] The liquid level is divided into a normal zone, a secondary alarm zone, and a primary alarm zone, each with two threshold lines.

[0057] When the level gauge detects a level 2 or level 1 alarm value, it immediately sends an alarm to the platform; if no alarm cancellation value of the same level is received, the device will no longer send an alarm of the same level.

[0058] When the level gauge detects the level 2 alarm cancellation value or the level 1 alarm cancellation value twice consecutively, it immediately sends an alarm to the platform to cancel the alarm.

[0059] When the platform receives an alarm from the equipment, it issues instructions to the equipment as needed, including changing the frequency at which the equipment uses the liquid level.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] (1) By deploying level gauges in drainage wells within the drainage area and monitoring and comparing the levels of adjacent points upstream and downstream of the main pipeline drainage wells, it is possible to quickly identify problems such as pipe blockage, siltation, abnormal drainage, and manhole overflow in the drainage network.

[0062] (2) This invention uses a level gauge to quickly diagnose blockages in drainage pipe networks. On the one hand, it confirms the blockage status of the pipe network by the change in water level, which can detect and resolve blockage problems in a timely manner. On the other hand, it is economical and efficient, and this method can be promoted through a level gauge, with a wide range of applications. Attached Figure Description

[0063] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0064] Figure 1 For the well liquid level and its changes in the area;

[0065] Figure 2 The change in well fluid level in the area over time;

[0066] Figure 3 Identifying blockages in drainage areas;

[0067] Figure 4 This indicates an abnormal drainage condition.

[0068] Figure 5 This is a diagram of the sewage pipe network structure. Detailed Implementation

[0069] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0070] Example 1

[0071] This invention provides a rapid diagnostic method for drainage pipe network blockage based on a level gauge, comprising:

[0072] Step 1: Determine the drainage areas, flow direction, and level gauge locations of the drainage network, and number the drainage areas and level gauges.

[0073] The zones are numbered sequentially, consisting of letters and numbers. The level gauges are numbered based on the distinction between rainwater and sewage and their drainage direction, prioritizing the main pipe wells, followed by the branch pipe wells. The numbering consists of the following three parts:

[0074] W1 (W1 is the No. 1 drainage area for sewage. The first letters W and Y represent the sewage and rainwater pipe network types, respectively, and the numbers represent the drainage area number. W1 is the No. 1 drainage area for sewage).

[0075] Z1 (Z1 is the main pipe numbered 1, which is the number of different types of pipe sections. The letter Z represents the main pipe, the letter G represents the trunk pipe, and the number represents the pipe section number)

[0076] A1 (A1 is the level gauge number 1, which is the level gauge number of the distribution points. The letter A represents the level gauge, and the number represents the level gauge number along the direction of water flow in the pipeline network).

[0077] For example, in order of flow direction, the main pipes are numbered W1Z1A1, W1Z1A2, W1Z1A3, etc., and the branch pipe locations are numbered W1G1A1, W1G1A2, W1G1A3.

[0078] Step 2: Calculate and analyze the water volume changes of drainage wells within the same drainage area during the same drainage cycle.

[0079] Through water level monitoring and big data analysis of wells in the drainage area, it was found that when the pump station pumps water and the water level drops, the upstream water flow is higher than the downstream flow. Clogs will cause the amount of clogged water to decrease within the same drop cycle.

[0080] 1) Characteristics of well water level decline in drainage areas

[0081] like Figure 1 From the starting point, the change in liquid level gradually decreases. By observing the water level drop characteristics of the wells in the drainage area, the pattern of water level change is determined. Within the same drop cycle, when the pump station is pumping water and the water level drops, the upstream water level is higher than the downstream water level, and the change in water level downstream is greater than that upstream.

[0082] 2) Changes in well fluid levels and time in the area

[0083] Based on the monitoring values ​​and time information from the distributed level gauges, the changes in well levels and time within the area are calculated to obtain a consistent rate of change in level over time. For example... Figure 2 Ta, Tb, Tc, and Td are the time-varying rates of well liquid levels at monitoring points within the area. The calculated values ​​of Ta, Tb, Tc, and Td are equal, meaning that the relationships Ha / Ta, Hb / Tb, Hc / Tc, and Hd / Td are the same.

[0084] 3) Identification of average values ​​for drainage areas

[0085] Based on the fingerprint characteristics of monitoring values ​​and big data analysis, the average value of the drainage area is calculated. The average value is a range between h0 and h1. Within this range, it indicates that the liquid level in the pipeline network is normal.

[0086] The average value recognition of the drainage area will trigger an alarm in real time once the liquid level reaches the alarm point.

[0087] Step 3: Identify blockages, silt, overflows, and drainage anomalies in this section.

[0088] Area error value M = Equipment error + Time difference

[0089] If the liquid level at monitoring points W1Z1A1, W1Z1A2, and W1Z1A3 is within the area error range at the same time point, it is considered to be without problem. Specifically, the liquid level is measured continuously for 6 or 10 times using the sensor itself, and the average value is calculated as the liquid level value at that time point.

[0090] 1) Blockage identification

[0091] like Figure 3 In this case, the flow rate (L) of pipes A4 and A3 increases, while the flow rate (L) of pipes A2 and A1 decreases, indicating blockage in pipes A2 and A3. When water is pumped from the pumping station and the liquid level drops, the upstream water level is higher than the downstream level. Blockage will reduce the amount of water blocked within the same drop cycle. If blockage occurs in a pipe section or well, the water level and flow rate changes in adjacent wells will show significant differences. If the changes in water level and flow rate of pipes A4 and A3 increase, while the changes in water level and flow rate of adjacent wells A2 and A1 decrease, then blockage is considered to exist in pipes A2 and A3, leading to poor drainage.

[0092] As the water level drops, begin calculating the water volume during the nth cycle of the manhole water level drop:

[0093]

[0094] L n This represents the change in water volume in the nth well during the entire cycle of the liquid level decline phase; a t This represents the liquid level of manhole n at monitoring time t during the liquid level decline phase; a t -a t+1 This represents the difference in liquid level between well n at monitoring time points t and t+1 during the liquid level decline phase; s n This represents the area of ​​manhole n;

[0095] When the water level drops, calculate the water volume during the nth cycle of the manhole water level drop, and execute the following procedure to identify blockages:

[0096] for i in range(1, n)

[0097]

[0098] Let L n Let L1 be the water volume of the manhole closest to the pumping station, and L2 be the water volume of the manhole farthest from the pumping station. Then:

[0099]

[0100] D d D indicates the number of days for monitoring liquid level at designated points within the area. d Starting from 1 to K, where K>=30; m d Represents the K liquid level differences; m d The mean is μ, m d The variance is σ;

[0101] For K liquid level differences, the confidence interval

[0102] Where Z is the quantile of the normal distribution, which is related to the confidence level. For example, for a two-sided confidence interval with a confidence level of 90%, the Z value is 1.645.

[0103] if L i (D d ) <L i (D d-1 )

[0104] print(D d Timing, "a" i The fluid level in manhole No. 1 is abnormal. i The water volume in the No. 1 manhole showed only slight changes, indicating a possible blockage.

[0105] Among them, a i This represents the i-th monitoring point in the order of flow direction;

[0106] By following the steps above, the blocked pipe can be identified, and maintenance personnel can be notified so that they can go to the site to check which section of the pipe is blocked.

[0107] 2) Identification of silt accumulation

[0108] The condition of silt can be judged by the overall rise in the waveform of the liquid level. If an overall rise in the waveform is found by comparing the years, then there is silt deposition.

[0109] Considering that municipal authorities dredge the pipes annually (based on industry experience and maintenance costs), the industry considers 10% sedimentation to be normal, 20% sludge accumulation to be visible to the naked eye and a common occurrence, and 60% sludge accumulation to necessitate dredging. Floating sludge in sewage pipes will be pumped away (construction debris, tree roots, and small stones / pieces may accumulate and form blockages), while floating sludge in storm drain pipes will be flushed away, although tangled large pieces of debris may form blockages.

[0110] The impact of siltation on liquid level: Historical comparisons show that even with siltation, the water flow rate remains high, and the volume of water significantly affects the liquid level. Larger volumes will cause a noticeable rise in the liquid level, though this effect will gradually become apparent over time.

[0111] 3) Drainage abnormality

[0112] like Figure 4 A sudden change in the liquid level curve over a day (or week or month) may indicate illegal discharge, backflow of large amounts of water, or blockage of the pipeline. After identification, maintenance personnel will make an on-site judgment.

[0113] 4) Overflow detection (internal alarm of the level gauge)

[0114] Overflow detection is triggered by an internal alarm on the level gauge. A level exceeding the wellhead always indicates an overflow.

[0115] The liquid level is divided into a normal zone, a secondary alarm zone, and a primary alarm zone, each with two threshold lines.

[0116] When the level gauge detects a level 2 or level 1 alarm value internally, it immediately sends an alarm to the platform. The device will not report a level 1 alarm again until a corresponding alarm clearance value is received; an alarm will only be triggered after the alarm has been cleared.

[0117] When the level gauge detects the level 2 alarm cancellation value or the level 1 alarm cancellation value twice consecutively, it immediately sends an alarm to the platform to cancel the alarm.

[0118] When the platform receives an alarm from the equipment, it can issue instructions to the equipment as needed, such as changing the frequency of the equipment's liquid level monitoring.

[0119] Step 4: Analyze the connection points within the area where there are differences in pipeline standards, both before and after the standard difference. For example, analyze the connection between the standard unit and the municipal branch pipe. Figure 5 The monitoring points are the main pipes and branch pipes within the unit or community, as well as the wells of the main pipes and the municipal wells into which the water flows from the main pipes. Monitoring points are set up for the main pipes and monitoring wells within the unit or community, and for the monitoring wells and municipal connection wells. The analysis of the main pipes and monitoring wells within the unit or community, and the analysis of the monitoring wells and municipal connection wells are carried out separately, using the same analysis method as in step 3.

[0120] Example 2:

[0121] The present invention also provides a rapid diagnostic system for drainage pipe network blockage based on a level gauge. The rapid diagnostic system for drainage pipe network blockage based on a level gauge can be implemented by executing the process steps of the rapid diagnostic method for drainage pipe network blockage based on a level gauge. That is, those skilled in the art can understand the rapid diagnostic method for drainage pipe network blockage based on a level gauge as a preferred embodiment of the rapid diagnostic system for drainage pipe network blockage based on a level gauge.

[0122] The rapid diagnostic system for drainage pipe network blockage based on level gauges provided by the present invention includes: Module M1: acquiring the drainage area, flow direction, and level gauge locations of the drainage pipe network, and numbering the drainage area and level gauges; Module M2: calculating and analyzing the water volume changes of drainage wells within the same drainage area during the same decline cycle; Module M3: identifying blockage, silt accumulation, drainage anomalies, and overflow based on water volume changes; Module M4: performing pre- and post-level analysis on connection points with differences in pipe network elevation within the area.

[0123] The module M2 includes: Module M2.1: Determine the water level change pattern by analyzing the water level drop characteristics of the wells in the drainage area; Module M2.2: Calculate the change in well level and time in the area based on the monitoring values ​​and time information of the distributed level gauges, and obtain the liquid level time change rate; Module M2.3: Calculate the average value of water volume change in the drainage area based on the water level change pattern and liquid level time change rate, combined with the fingerprint characteristics of the monitoring values ​​and big data analysis. If the average value exceeds the preset range, an alarm will be triggered.

[0124] The blockage identification includes:

[0125] When the water level drops, calculate the water volume during the entire cycle of the nth manhole water level drop:

[0126]

[0127] Among them, L n This represents the change in water volume in the nth well during the entire cycle of the liquid level decline phase; a t This represents the liquid level of manhole n at monitoring time t during the liquid level decline phase; a t -a t+1 This represents the difference in liquid level between well n at monitoring time points t and t+1 during the liquid level decline phase; s n The area of ​​manhole n is represented; ΔT represents the period of water level drop.

[0128] Let L n Let L1 be the water volume of the manhole closest to the pumping station, and L2 be the water volume of the manhole farthest from the pumping station. Then:

[0129]

[0130] Among them, D d D indicates the number of days for monitoring liquid level at designated points within the area. d Starting from 1 to K, K≥30; m d This represents the K liquid level differences; i is the manhole sequence index;

[0131] For K liquid level differences, the confidence interval μ is md Mean, σ is m d variance;

[0132] Where Z is the quantile of the normal distribution;

[0133] If L i (D d ) <L i (D d-1 If ), then it indicates that a i The fluid level in the No. 1 manhole is abnormal, indicating blockage.

[0134] The sludge accumulation identification includes: determining whether there is an overall rise in the waveform of the liquid level by comparing the years; if so, there is sludge accumulation.

[0135] The drainage anomaly identification includes: for liquid level curves that show abrupt changes, determining on-site whether a drainage anomaly has occurred.

[0136] The overflow detection includes:

[0137] The internal alarm of the level gauge is triggered when the liquid level exceeds the wellhead level.

[0138] The liquid level is divided into a normal zone, a secondary alarm zone, and a primary alarm zone, each with two threshold lines.

[0139] When the level gauge detects a level 2 or level 1 alarm value, it immediately sends an alarm to the platform; if no alarm cancellation value of the same level is received, the device will no longer send an alarm of the same level.

[0140] When the level gauge detects the level 2 alarm cancellation value or the level 1 alarm cancellation value twice consecutively, it immediately sends an alarm to the platform to cancel the alarm.

[0141] When the platform receives an alarm from the equipment, it issues instructions to the equipment as needed, including changing the frequency at which the equipment uses the liquid level.

[0142] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0143] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A rapid diagnostic method for drainage pipe network blockage based on a level gauge, characterized in that, include: Step 1: Obtain the drainage areas, flow direction, and level gauge locations of the drainage network, and number the drainage areas and level gauges; Step 2: Calculate and analyze the water volume changes of drainage wells within the same drainage area during the same drainage cycle; Step 3: Identify blockages, silt accumulation, drainage anomalies, and overflows based on changes in water volume; Step 4: For connection points with different pipeline standards within the area, perform pre- and post-level analysis respectively; The blockage identification includes: When the water level drops, calculate the water volume during the entire cycle of the nth manhole water level drop: in, This represents the change in water volume in the nth manhole during the entire cycle of the liquid level decline phase. The liquid level of manhole n at the t-th monitoring time point represents the liquid level during the liquid level decline phase. This represents the difference in liquid level between well n at monitoring time t and t+1 during the liquid level decline phase. This represents the area of ​​manhole n; Indicates the period of water level decline; set up The water volume of the manhole closest to the pumping station. If the water volume is from the manhole furthest from the pumping station, then: in, This indicates the number of days for monitoring the liquid level within the designated area. Starting from 1 to K, where K ≥ 30; This represents the K liquid level differences; For manhole sequence index; For K liquid level differences, the confidence interval F = μ ± Z* ( / ), μ is mean for variance; Where Z is the quantile of the normal distribution; like ( )< ( ), then it indicates The fluid level in the No. 1 manhole is abnormal, indicating blockage.

2. The rapid diagnostic method for drainage pipe network blockage based on a level gauge according to claim 1, characterized in that, Step 2 includes: Step 2.1: Determine the water level change pattern by analyzing the water level drop characteristics of the wells in the drainage area; Step 2.2: Based on the monitoring values ​​and time information of the point level gauges, calculate the changes in well level and time in the area to obtain the rate of change of level over time; Step 2.3: Based on the water level change pattern and liquid level change rate over time, combined with the fingerprint characteristics of monitoring values ​​and big data analysis, calculate the average value of water volume change in the drainage area. If the average value exceeds the preset range, an alarm will be triggered.

3. The rapid diagnostic method for drainage pipe network blockage based on a level gauge according to claim 1, characterized in that, The sludge accumulation identification includes: determining whether there is an overall rise in the waveform of the liquid level by comparing the years; if so, there is sludge accumulation. The drainage anomaly identification includes: for liquid level curves that show abrupt changes, determining on-site whether a drainage anomaly has occurred.

4. The rapid diagnostic method for drainage pipe network blockage based on a level gauge according to claim 1, characterized in that, The overflow detection includes: The internal alarm of the level gauge is triggered when the liquid level exceeds the wellhead level. The liquid level is divided into a normal zone, a secondary alarm zone, and a primary alarm zone, each with two threshold lines. When the level gauge detects a level 2 or level 1 alarm value, it immediately sends an alarm to the platform; if no alarm cancellation value of the same level is received, the device will no longer send an alarm of the same level. When the level gauge detects the level 2 alarm cancellation value or the level 1 alarm cancellation value twice consecutively, it immediately sends an alarm to the platform to cancel the alarm. When the platform receives an alarm from the equipment, it issues instructions to the equipment as needed, including changing the frequency at which the equipment uses the liquid level.

5. A rapid diagnostic system for drainage pipe network blockage based on a level gauge, characterized in that, include: Module M1: Obtain the drainage areas, flow direction, and level gauge locations of the drainage network, and assign numbers to the drainage areas and level gauges; Module M2: Calculates and analyzes the water volume changes of drainage wells within the same drainage area during the same drainage cycle; Module M3: Identifies blockages, silt accumulation, drainage anomalies, and overflows based on changes in water volume; Module M4: Performs pre- and post-gradient analysis on connection points with different pipeline standards within the area; The blockage identification includes: When the water level drops, calculate the water volume during the entire cycle of the nth manhole water level drop: in, This represents the change in water volume in the nth manhole during the entire cycle of the liquid level decline phase. The liquid level of manhole n at the t-th monitoring time point represents the liquid level during the liquid level decline phase. This represents the difference in liquid level between well n at monitoring time t and t+1 during the liquid level decline phase. This represents the area of ​​manhole n; Indicates the period of water level decline; set up The water volume of the manhole closest to the pumping station. If the water volume is from the manhole furthest from the pumping station, then: in, This indicates the number of days for monitoring the liquid level within the designated area. Starting from 1 to K, where K ≥ 30; This represents the K liquid level differences; For manhole sequence index; For K liquid level differences, the confidence interval F = μ ± Z* ( / ), μ is mean for variance; Where Z is the quantile of the normal distribution; like ( )< ( ), then it indicates The fluid level in the No. 1 manhole is abnormal, indicating blockage.

6. The rapid diagnostic system for drainage pipe network blockage based on a level gauge according to claim 5, characterized in that, The module M2 includes: Module M2.1: Determine the water level change pattern by analyzing the water level drop characteristics of wells in the drainage area; Module M2.2: Based on the monitoring values ​​and time information of the distributed level gauges, calculate the changes in well level and time in the area, and obtain the rate of change of level over time; Module M2.3: Based on the water level change pattern and liquid level change rate over time, combined with the fingerprint characteristics of monitoring values ​​and big data analysis, calculate the average value of water volume change in the drainage area. If the average value exceeds the preset range, an alarm will be triggered.

7. The rapid diagnostic system for drainage pipe network blockage based on a level gauge according to claim 5, characterized in that, The sludge accumulation identification includes: determining whether there is an overall rise in the waveform of the liquid level by comparing the years; if so, there is sludge accumulation. The drainage anomaly identification includes: for liquid level curves that show abrupt changes, determining on-site whether a drainage anomaly has occurred.

8. The rapid diagnostic system for drainage pipe network blockage based on a level gauge according to claim 5, characterized in that, The overflow detection includes: The internal alarm of the level gauge is triggered when the liquid level exceeds the wellhead level. The liquid level is divided into a normal zone, a secondary alarm zone, and a primary alarm zone, each with two threshold lines. When the level gauge detects a level 2 or level 1 alarm value, it immediately sends an alarm to the platform; if no alarm cancellation value of the same level is received, the device will no longer send an alarm of the same level. When the level gauge detects the level 2 alarm cancellation value or the level 1 alarm cancellation value twice consecutively, it immediately sends an alarm to the platform to cancel the alarm. When the platform receives an alarm from the equipment, it issues instructions to the equipment as needed, including changing the frequency at which the equipment uses the liquid level.

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