Urban smart drainage method and system

Abstract

The invention relates to a smart urban drainage method and system, and relates to the field of commercial information technology. The smart drainage management method includes the following steps: according to the topological structure of the urban underground pipe network, the underground pipe network is divided into pipe segments and multiple node wells interconnected by the pipe segments; the water level and flow rate of the pipe segment flowing to the node well are obtained by sensors installed in the node wells, and the flow rate of each pipe segment is calculated based on the water level and flow rate; the working status of each pipe segment is identified according to the water level, flow rate and flow rate of each pipe segment, and when the working status of the pipe segment is abnormal, the abnormality is automatically sensed and identified, and an alarm is intelligently triggered and corresponding disposal instructions are issued accordingly. The smart drainage management method provided by this application can accurately identify the type of leak, determine the nature and location of the leak, and intelligently issue effective disposal instructions, greatly improving the accuracy and use effect of the construction, management and maintenance of the urban drainage system.

Description

Technical Field

[0001] The present application relates to the field of commercial information technology, and in particular to an urban smart drainage method and system. Background Art

[0002] Some existing underground pipeline management systems attempt to install sensors at every inspection well or node well to collect real-time pipeline data. However, these systems often suffer from a common problem: they collect too many different types of data at each monitoring point, attempting to cover parameters such as water level, flow rate, pressure, and water quality. This massive amount of data not only drives up system construction and maintenance costs but also places enormous pressure on data transmission and storage. More importantly, many of these data parameters provide no substantial insight into the overall operational status of the pipeline network.

[0003] To utilize these expensive sensors, existing systems often cannot achieve comprehensive coverage of a city's entire drainage network due to cost and technical constraints. Instead, they can only selectively monitor certain areas. However, the problem is that similar urban drainage networks, such as sewage or stormwater networks, are designed to be interconnected. The operating conditions of a local network often affect the entire system. For example, a blockage upstream will alter the flow rate and water level in the downstream section. If we focus only on a specific area, we are likely to miss this correlation and misjudge the location of the fault.

[0004] In summary, urban drainage network management urgently requires a new intelligent approach. This approach should be able to achieve full coverage, 24 / 7 real-time monitoring of urban pipe networks at the lowest cost, accurately detect anomalies, and pinpoint the type and location of faults, thereby enabling more accurate intelligent management of underground drainage. Summary of the Invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides an urban smart drainage method and system, which can more accurately and effectively manage the drainage of underground official websites.

[0006] In a first aspect, the present application provides an urban smart drainage method, which comprises the following steps:

[0007] According to the topological structure of the urban underground pipe network, the underground pipe network is divided into pipe segments and multiple node wells interconnected by the pipe segments;

[0008] The water level and flow rate of the pipe section flowing to the node well are obtained by sensors installed in the node well, and the flow rate of each pipe section is calculated based on the water level and flow rate;

[0009] The working status of each pipe section is identified based on the water level, flow velocity and flow of each pipe section. When the working status of the pipe section is abnormal, an alarm and corresponding disposal instructions are automatically issued to the staff.

[0010] Optionally, identifying the working status of each pipe section based on the water level, flow velocity, and flow rate of each pipe section includes the following steps:

[0011] The inflow rate of the node well at the starting end of each pipe section and the inflow rate of the node well at the ending end are obtained to obtain the inflow rate and outflow rate of each pipe section. When the difference between the inflow rate and the outflow rate of the pipe section exceeds the preset leakage threshold, it is determined that the pipe section has a leakage phenomenon;

[0012] When a pipe leak is detected:

[0013] The node well at the starting end of the pipe section preceding the pipe section where the leakage occurs is obtained as the first node well, the node well at the starting end of the pipe section where the leakage occurs is obtained as the second node well, and the node well at the ending end of the pipe section where the leakage occurs is obtained as the third node well;

[0014] The maximum flow rate and minimum flow rate of the first node well, the second node well and the third node well are obtained, and according to the preset leakage fault diagnosis formula, it is determined whether the previous pipe section has a hidden leakage or the pipe section with the current leakage phenomenon has a leakage.

[0015] Optionally, the preset leakage fault diagnosis formula is:

[0016]

[0017] is the preset diagnostic threshold. It is determined that there is a hidden leak in the previous pipe section. It is determined that the pipe section currently experiencing leakage is leaking;

[0018] in,

[0019]

[0020]

[0021]

[0022]

[0023]

[0024]

[0025] in, is the minimum flow rate of the first node well, is the minimum flow rate of the second node well, is the minimum flow rate of the third node well, is the maximum flow rate of the first node well, is the maximum flow rate of the second node well, is the maximum flow rate of the third node well;

[0026] Among them, K is an empirical parameter.

[0027] Optionally, identifying the working status of each pipe section based on the water level, flow velocity, and flow rate of each pipe section further includes the following steps:

[0028] Obtain the water level of each node well and its adjacent node wells. When the water level difference between the node well and its adjacent node wells is less than the preset water level difference:

[0029] Comparing the flow rate of the pipe section of the water flowing to the node well, when the flow rate reaches a preset flow rate threshold, triggering an alarm to stop the flow;

[0030] The water level in the node well is compared with the preset water level threshold range to trigger the full pipe and full well overflow alarms respectively.

[0031] Optionally, the urban smart drainage method further includes the following steps:

[0032] According to the structure of the underground pipe network, a 3D model of the underground pipe network is established in the 3D simulation software;

[0033] The three-dimensional model includes virtual node wells and virtual pipe segments corresponding to the actual underground pipe network structure, and the water flow status of each virtual pipe segment is updated in real time based on the monitoring data of the corresponding actual pipe segment;

[0034] Based on the actual water level, flow velocity and flow rate of each pipe section, the water flow status of the corresponding part in the 3D model of the underground pipe network is mapped and configured in the 3D simulation software to show it to the staff.

[0035] In a second aspect, the present application provides an urban smart drainage system, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the urban smart drainage method as described in any one of the first aspects.

[0036] The technical solution provided by this application has the following advantages compared with the existing technology:

[0037] Identifying and locating leaks in urban drainage networks has always been a technical challenge. Traditional monitoring methods rely primarily on flow balance analysis of a single pipe segment, comparing the flow rate difference between the inlet and outlet of the pipe segment to determine if a leak exists.

[0038] However, the inventors discovered that this method has a significant limitation: it cannot effectively distinguish between two leakage fault conditions of different natures.

[0039] The first situation is the obvious leakage failure of the pipe section, that is, there are obvious cracks or damages in the pipe section, causing water to leak directly from the pipe section.

[0040] The second type of failure is a hidden leakage failure, which usually occurs in areas where sediment accumulates inside the pipe. The presence of sediment causes the effective inner diameter of the pipe to gradually decrease, but at the same time, leakage occurs.

[0041] This creates a deceptive phenomenon: although a leak has occurred in the pipeline section, the presence of sediment causes the water level to rise, so when calculating flow using water level and flow velocity, the calculated flow value may not show obvious abnormalities. This is because the change in water level in the flow calculation formula compensates for the flow loss caused by the leak to some extent. As a result, the measurement data at the terminal node well of the pipeline section may appear relatively "normal."

[0042] However, this "normal" state is deceptive. The real problem becomes apparent in the next pipe section. When the water enters the next pipe section, the cross-sectional area returns to normal due to the absence of sediment. This is when the actual reduction in flow becomes apparent, appearing as an abnormality at the measurement point at the end of the next pipe section.

[0043] This creates a thorny problem: looking solely at the abnormal data at the end of the downstream pipe section, it is impossible to directly determine whether the anomaly is due to a hidden leak in the upstream pipe section or an obvious leak in the current pipe section itself. Both situations will manifest as flow abnormalities at the end of the current pipe section.

[0044] This application proposes an innovative three-point diagnostic mechanism to address this problem. Rather than focusing solely on flow changes within a single pipe section, it simultaneously analyzes flow data from three consecutive node wells. By acquiring flow data from these three node wells under different operating conditions (high and low flow), a leak status diagnostic mechanism was established.

[0045] Specifically, when a hidden leak occurs, the following phenomena occur:

[0046] Under normal water volume, the amount of hidden leakage is in a fixed proportional relationship with the height of the sediment, that is, the amount of leaked water is a value that is in a fixed proportion to the height of the sediment.

[0047] However, in the case of large water volume, the height of the sediment is superimposed on the water level of the large water volume itself, and the compensation effect of the sediment is fully exerted, which will make the maximum flow data of the second node well will be too large, i.e. Will be too small, resulting in Too big.

[0048] In the case of small water volume, due to the existence of compensation effect, although the second node well The flow reduction may not be very obvious, but it will be lower. This is because when the water volume is reduced, the water level will be lower after the fixed amount of water is discharged compared with the high water volume. The compensation effect cannot completely eliminate this effect, which will make the minimum flow data of the second node well It will be smaller, so Will be too large, resulting in This will eventually result in D being too high.

[0049] In contrast, the situation is different when a visible leak occurs in a pipe section. The flow loss caused by visible leakage has the same impact under high and low water flow conditions because it does not rely on the compensatory effect of the water level. In other words, the proportion of leakage impact on total flow is relatively stable under different water flow conditions. Ultimately, D will not be too high.

[0050] Therefore, when the calculated D value is large, it indicates that there is obvious dependence on water volume conditions, which is the characteristic of hidden leakage; when the D value is small, it indicates that the impact of leakage is relatively consistent under different water volume conditions, which is consistent with the characteristics of explicit leakage.

[0051] The urban smart drainage method provided in this application can accurately identify the type of leakage fault, determine the nature and location of the leakage, and maintenance personnel can take more targeted treatment measures to improve the accuracy of drainage system management and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A flow chart of the smart drainage method provided in an embodiment of the present application;

[0053] Figure 2 A schematic diagram showing data display of the intelligent drainage method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] The technical solution in this application will be described below with reference to the accompanying drawings.

[0055] The following description sets forth many specific details to facilitate a thorough understanding of the present application. However, the present application may also be implemented in other ways than those described herein. It is apparent that the embodiments described in the specification are only some of the embodiments of the present application, not all of them. It should be noted that the embodiments of the present application and the features therein may be combined with each other unless there is a conflict.

[0056] In the first aspect, this application provides a smart urban drainage method, such as Figure 1 As shown, the urban smart drainage method includes the following steps:

[0057] S101: According to the topological structure of the urban underground pipe network, the underground pipe network is divided into pipe segments and a plurality of node wells interconnected by the pipe segments.

[0058] S102: The water level and flow rate of the pipe section flowing to the node well are obtained through a sensor installed in the node well, and the flow rate of each pipe section is calculated based on the water level and flow rate.

[0059] Specifically, the sensor is set at the outlet of the pipe section flowing to the node well. The flow rate of each pipe section can be calculated using the pipe section flow calculation formula in hydraulics. This is existing technology and will not be repeated here.

[0060] S103: The working status of each pipe section is identified according to the water level, flow velocity and flow of each pipe section. When the working status of the pipe section is abnormal, an alarm and corresponding disposal instructions are automatically issued to the staff.

[0061] Specifically, the working status of each pipe section is identified based on the water level, flow velocity, and flow rate of each pipe section, including the following steps:

[0062] The inflow rate of the node well at the starting end of each pipe section and the inflow rate of the node well at the ending end are obtained to obtain the inflow rate and outflow rate of each pipe section. When the difference between the inflow rate and the outflow rate of the pipe section exceeds the preset leakage threshold, it is determined that the pipe section has a leakage phenomenon.

[0063] Specifically, the preset leakage threshold is a manually set value. Its purpose is to first screen out the pipe section with leakage through the flow balance strategy, and then further determine through subsequent steps whether the leakage type is an "explicit leakage" of the current pipe section or a "hidden leakage" of the previous pipe section.

[0064] When a pipe leak is detected:

[0065] The starting node well of the previous pipe section where the leakage occurs is obtained as the first node well, the starting node well of the pipe section where the leakage occurs is obtained as the second node well, and the ending node well of the pipe section where the leakage occurs is obtained as the third node well.

[0066] Specifically, the first node well is the starting end of the previous pipe section of the pipe section where the leakage occurs, the second node well is the connecting node well between the previous pipe section and the pipe section where the leakage occurs currently, and the third node well is the ending node of the pipe section where the leakage occurs currently.

[0067] The maximum flow rate and minimum flow rate of the first node well, the second node well and the third node well are obtained, and according to the preset leakage fault diagnosis formula, it is determined whether the previous pipe section has a hidden leakage or the pipe section with the current leakage phenomenon has a leakage.

[0068] Specifically, the preset leakage fault diagnosis formula is:

[0069]

[0070] It is an artificially preset diagnostic threshold. It is determined that there is a hidden leak in the previous pipe section. The pipe section currently leaking is determined to be leaking.

[0071] in,

[0072]

[0073]

[0074]

[0075]

[0076]

[0077]

[0078] in, is the minimum flow rate of the first node well, is the minimum flow rate of the second node well, is the minimum flow rate of the third node well, is the maximum flow rate of the first node well, is the maximum flow rate of the second node well, is the maximum flow rate of the third node well;

[0079] Wherein, K is an empirical parameter set manually. The so-called minimum and maximum flow rates are actually selected from the data accumulated in a preset sliding time window of each well. In the embodiment of the present application, the length of the preset sliding time window is 1 day.

[0080] Specifically, identifying the working status of each pipe section according to the water level, flow velocity and flow rate of each pipe section also includes the following steps:

[0081] Obtain the water level of each node well and its adjacent node wells. When the water level difference between the node well and its adjacent node wells is less than the preset water level difference:

[0082] The flow rates of the pipe sections of the water flowing to the node wells are compared, and when the flow rates reach a preset flow rate threshold, an alarm to stop the flow is triggered.

[0083] Specifically, the flow rate threshold is a manually set value.

[0084] The water level in the node well is compared with the preset water level threshold range to trigger the full pipe and full well overflow alarms respectively.

[0085] Specifically, the water level threshold intervals are two manually preset water level intervals, each water level interval corresponds to an alarm type, and when the water level in the node well is within the water level interval, an alarm corresponding to the alarm type of the water level interval is automatically triggered.

[0086] Specifically, in an embodiment of the present application, while an alarm is issued, corresponding disposal instructions can also be issued to the maintenance personnel in the corresponding area. For example, when a well overflow occurs, an instruction to open the manhole cover and set a warning sign is issued to the maintenance personnel in the corresponding area, thereby realizing automated and intelligent drainage management.

[0087] Specifically, the urban smart drainage method further includes the following steps:

[0088] According to the structure of the underground pipe network, a 3D model of the underground pipe network is established in the 3D simulation software;

[0089] The three-dimensional model includes virtual node wells and virtual pipe segments corresponding to the actual underground pipe network structure, and the water flow status of each virtual pipe segment is updated in real time based on the monitoring data of the corresponding actual pipe segment;

[0090] Based on the actual water level, flow velocity and flow rate of each pipe section, the water flow status of the corresponding part in the 3D model of the underground pipe network is mapped and configured in the 3D simulation software to show it to the staff.

[0091] In an embodiment of the present application, the three-dimensional simulation software is 3DEXPERIENCE.

[0092] Reference Figure 2 , this application can also directly retrieve data to generate a data curve chart of the water level, flow rate and flow rate of each well over time to show to the staff.

[0093] In summary, the specific working principles and beneficial effects of the urban smart drainage method and system provided in the embodiments of the present application are:

[0094] Identifying and locating leaks in urban drainage networks has always been a technical challenge. Traditional monitoring methods rely primarily on flow balance analysis of a single pipe segment, comparing the flow rate difference between the inlet and outlet of the pipe segment to determine if a leak exists.

[0095] However, the inventors found that this method has a significant limitation: it cannot effectively distinguish between two leakage situations of different natures.

[0096] The first situation is obvious leakage of the pipe section, that is, there are obvious cracks or damages in the pipe section, causing water to leak directly from the pipe section.

[0097] The second type of leakage is hidden leakage, which usually occurs in areas where sediment accumulates inside the pipe. The presence of sediment causes the effective inner diameter of the pipe to gradually decrease, but leakage occurs at the same time.

[0098] This creates a deceptive phenomenon: although a leak has occurred in the pipeline section, the presence of sediment causes the water level to rise, so when calculating flow using water level and flow velocity, the calculated flow value may not show obvious abnormalities. This is because the change in water level in the flow calculation formula compensates for the flow loss caused by the leak to some extent. As a result, the measurement data at the terminal node well of the pipeline section may appear relatively "normal."

[0099] However, this "normal" state is deceptive. The real problem becomes apparent in the next pipe section. When the water enters the next pipe section, the cross-sectional area returns to normal due to the absence of sediment. This is when the actual reduction in flow becomes apparent, appearing as an abnormality at the measurement point at the end of the next pipe section.

[0100] This creates a thorny problem: looking solely at the abnormal data at the end of the downstream pipe section, it is impossible to directly determine whether the anomaly is due to a hidden leak in the upstream pipe section or an obvious leak in the current pipe section itself. Both situations will manifest as flow abnormalities at the end of the current pipe section.

[0101] This application proposes an innovative three-point diagnostic mechanism to address this problem. Rather than focusing solely on flow changes within a single pipe section, it simultaneously analyzes flow data from three consecutive node wells. By acquiring flow data from these three node wells under different operating conditions (high and low flow), a leak status diagnostic mechanism was established.

[0102] Specifically, when a hidden leak occurs, the following phenomena occur:

[0103] Under normal water volume, the amount of hidden leakage is in a fixed proportional relationship with the height of the sediment, that is, the amount of leaked water is a value that is in a fixed proportion to the height of the sediment.

[0104] However, in the case of large water volume, the height of the sediment is superimposed on the water level of the large water volume itself, and the compensation effect of the sediment is fully exerted, which will make the maximum flow data of the second node well will be too large, i.e. Will be too small, resulting in Too big.

[0105] In the case of small water volume, due to the existence of compensation effect, although the second node well The flow reduction may not be very obvious, but it will be lower. This is because when the water volume is reduced, the water level will be lower after the fixed amount of water is discharged compared with the high water volume. The compensation effect cannot completely eliminate this effect, which will make the minimum flow data of the second node well It will be smaller, so Will be too large, resulting in This will eventually result in D being too high.

[0106] In contrast, the situation is different when a visible leak occurs in a pipe section. The flow loss caused by visible leakage has the same impact under high and low water flow conditions because it does not rely on the compensatory effect of the water level. In other words, the proportion of leakage impact on total flow is relatively stable under different water flow conditions. Ultimately, D will not be too high.

[0107] Therefore, when the calculated D value is large, it indicates that there is obvious dependence on water volume conditions, which is the characteristic of hidden leakage; when the D value is small, it indicates that the impact of leakage is relatively consistent under different water volume conditions, which is consistent with the characteristics of explicit leakage.

[0108] The urban smart drainage method provided in this application can accurately identify the type of leak, determine the nature and location of the leak, and maintenance personnel can take more targeted treatment measures to improve the accuracy of drainage system maintenance.

[0109] Furthermore, while the above embodiments have fully described the technical solutions claimed for protection in the claims, taking into account the remaining solutions and their beneficial technical effects recorded in the technical disclosure document by the inventor, while the above embodiments have fully described the technical solutions claimed for protection in the claims, the embodiments of this application still need to be supplemented with the following content for reference and understanding of the embodiments:

[0110] Specifically, during the implementation of the present invention, the inventors have also summarized some solutions related to the present invention, which are supplemented as follows:

[0111] Basic conditions of this patented technology:

[0112] The basic data of the urban drainage system is verified, improved and updated in real time to meet the requirements of "truthfulness, accuracy and completeness".

[0113] Conduct rainwater and sewage separation design based on the existing drawings of the urban drainage system. This will create two independent, clear, and complete rainwater and sewage systems, and any misconnected pipe sections between the two systems.

[0114] All elements within the system are classified according to standard codes.

[0115] Carry out comprehensive dredging, repair and maintenance on each node well in the drainage system.

[0116] Node wells and special sites will be established throughout the system in accordance with the prescribed conditions.

[0117] Build an urban smart drainage (smart water) system management and control platform with "information data integration, business management integration, and comprehensive service integration", connect with government departments in charge, share data with departments and units such as digital management, urban planning, hydrology, meteorology, water affairs, environmental protection, urban management, and traffic management, and build a high-level, multi-functional, innovative smart system management and control platform.

[0118] This patented technology is an indispensable basic core technology for realizing urban smart drainage systems, which is specifically reflected in the following unique and important application functions:

[0119] Intelligent alarm and handling function for level 1 (mild) faults: According to the topological relationship of the drainage network, an alarm is triggered when the water level between any two adjacent node wells or multiple node wells in the system tends to be flat or even reverse flow occurs. At the same time, a fault handling instruction is issued based on the characteristic data comparison and analysis results.

[0120] Secondary (moderate) fault intelligent alarm and handling function: When the water level in any node well (main outlet pipe) in the system exceeds the full pipe level, an alarm is triggered, and a fault handling instruction is issued based on the characteristic data comparison and analysis results.

[0121] Intelligent alarm and handling function for level 3 (serious) faults: When the water level in any node well in the system is about to overflow the wellhead, an alarm is triggered, and a fault handling instruction is issued based on the characteristic data comparison and analysis results.

[0122] Intelligent alarm and handling function for faults where the influent (BOD5) concentration of the sewage treatment plant in the system is lower than the set value: an alarm is triggered based on the online monitoring data of the sewage treatment plant, and a fault handling instruction is issued based on the comparison and analysis results of the characteristic data.

[0123] Intelligent alarm and handling function for high water level operation failure of the sewage treatment plant's inlet main pipe: As above, the alarm is also triggered by the set value.

[0124] Intelligent alarm and disposal function for sewage overflow river fault: When the water level in the well of the interception node beside the river is higher than the interception weir and the outlet river water level, the overflow fault alarm of the well point is triggered, and relevant disposal instructions are issued based on the characteristic data comparison and analysis results.

[0125] Intelligent alarm and disposal function for river water backflow into sewage pipe network fault: When the river water level at the outlet of the interception node well is higher than the interception weir and the water level in the well, it triggers the fault alarm of river water backflow into the sewage pipe network at the well point, and at the same time issues relevant disposal instructions based on the characteristic data comparison and analysis results.

[0126] Intelligent alarm and disposal function for drainage network blockage and damage faults: Local blockage and damage faults in the drainage system will cause abnormal changes in parameters such as the water level of adjacent node wells, triggering fault alarms. At the same time, relevant disposal instructions will be issued based on the comparison and analysis results of the characteristic abnormal changes in these parameters.

[0127] Intelligent monitoring, alarming, and handling of rainwater and sewage diversion renovation results: If sewage continues to flow into the rainwater access well at the end of a rainwater and sewage diversion renovation project on a sunny day, a fault alarm will be triggered. Disposal instructions will also be issued based on characteristic data comparison and analysis results. This allows for precise and effective monitoring of the standardized drainage behavior of key drainage households.

[0128] Intelligent alarm and response capabilities for flooding caused by poor drainage in the rainwater system: During periods of rainfall, the weirs in the interceptor wells at the end of the rainwater system severely hinder the smooth drainage of rainwater into rivers and streams, leading to frequent flooding. When the water level in a low-lying node well in the system rises to the well seat, a flooding alarm is triggered there first. Simultaneously, appropriate response instructions are issued based on the results of feature data comparison and analysis. This patented technology accurately predicts the maximum water level in each node well under different rainfall intensities, minimizing the risk of urban flooding.

[0129] Intelligent alarm and disposal functions address sewage and garbage overflowing into rivers and streams through the stormwater system during heavy rains. Automatic alarms are triggered based on the accumulation of sewage and garbage at the stormwater system's origins (rainwater inlets, grille cover trenches, open stormwater ditches, etc.) and at the six key drainage households' stormwater discharge node wells on sunny days. Disposal instructions are also issued based on characteristic value comparison and analysis results. This prevents concentrated sewage and garbage from entering rivers and streams during rainfall, which could seriously pollute the water quality.

[0130] Intelligent alarm and disposal function for preventing hidden dangers of urban ground collapse caused by damage, leakage and erosion of underground drainage system: In areas where the groundwater level is lower than the bottom elevation of the pipe, intelligent monitoring of drainage system damage and leakage alarm and proper disposal are particularly important to avoid unsafe consequences.

[0131] Intelligent prevention and control functions for odor leakage from sewage systems and the breeding of large numbers of cockroaches, rats, mosquitoes, flies and other insects that deteriorate environmental sanitation: trigger data exceeding standard alarms based on online monitoring data from the urban environmental management department, and issue relevant disposal instructions based on the results of characteristic value comparison and analysis to close channels for odor leakage and breeding of harmful small organisms.

[0132] Integrated modern intelligent management function for urban drainage system planning, construction, operation and maintenance: This patented technology provides precise demand basis and high-level advanced goals for urban drainage system planning, construction, operation and maintenance, making this work scientific and orderly.

[0133] Intelligent handling effect evaluation and file management function: The system evaluates the handling result report of each fault handling instruction and records it in the file, forming a closed loop of "issuing instructions - execution effect evaluation - intelligent error correction - improving the accuracy of instructions".

[0134] System deep learning function: The whole system forms a closed loop of sustainable error correction and continuous improvement to ensure the good performance and advanced level of the system.

[0135] The above supplementary content is the inventor’s further elaboration of this application, please refer to it for your understanding.

[0136] In a second aspect, an embodiment of the present application provides an urban smart drainage system, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the urban smart drainage method as described in any of the foregoing embodiments.

[0137] It should be noted that, in this document, relational terms such as "first" and "second" are used solely to distinguish one entity or operation from another, and do not necessarily require or imply any actual relationship or order between these entities or operations. Furthermore, the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, article, or device. Without further limitation, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article, or device comprising the element. Furthermore, in the description of the embodiments of this application, unless otherwise specified, " / " represents or. For example, A / B can represent either A or B. "And / or" herein is merely a description of an associative relationship between associated objects, indicating that three relationships can exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, in the description of the embodiments of the present application, “plurality” refers to two or more than two.

[0138] The foregoing description is intended only to provide specific embodiments of the present application, which will enable those skilled in the art to understand and implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments described herein, but is intended to be construed in the broadest manner consistent with the principles and novel features disclosed herein.

Claims

1. A smart urban drainage method, characterized in that: The urban smart drainage method comprises the following steps: According to the topological structure of the urban underground pipe network, the underground pipe network is divided into pipe segments and multiple node wells interconnected by the pipe segments; The water level and flow rate of the pipe section flowing to the node well are obtained by sensors installed in the node well, and the flow rate of each pipe section is calculated based on the water level and flow rate; Identify the working status of each pipe section based on the water level, flow velocity and flow rate of each pipe section. When the working status of the pipe section is abnormal, an alarm and corresponding disposal instructions will be automatically issued to the staff; The working status of each pipe section is identified based on the water level, flow velocity and flow of each pipe section, including the following steps: The inflow rate of the node well at the starting end of each pipe section and the inflow rate of the node well at the ending end are obtained to obtain the inflow rate and outflow rate of each pipe section. When the difference between the inflow rate and the outflow rate of the pipe section exceeds the preset leakage threshold, it is determined that the pipe section has a leakage phenomenon; When a pipe leak is detected: The node well at the starting end of the pipe section preceding the pipe section where the leakage occurs is obtained as the first node well, the node well at the starting end of the pipe section where the leakage occurs is obtained as the second node well, and the node well at the ending end of the pipe section where the leakage occurs is obtained as the third node well; Obtain the maximum and minimum flow rates of the first, second, and third node wells, and determine whether a hidden leak has occurred in the previous pipe section or the current pipe section that has a leak, based on a preset leakage fault diagnosis formula; The preset leakage fault diagnosis formula is: is the preset diagnostic threshold. It is determined that there is a hidden leak in the previous pipe section. It is determined that the pipe section currently experiencing leakage is leaking; in: in, is the minimum flow rate of the first node well, is the minimum flow rate of the second node well, is the minimum flow rate of the third node well, is the maximum flow rate of the first node well, is the maximum flow rate of the second node well, is the maximum flow rate of the third node well; Among them, K is an empirical parameter.

2. The urban smart drainage method according to claim 1, characterized in that: Identifying the working status of each pipe section based on the water level, flow velocity and flow rate of each pipe section also includes the following steps: Obtain the water level of each node well and its adjacent node wells. When the water level difference between the node well and its adjacent node wells is less than the preset water level difference: Comparing the flow rate of the pipe section of the water flowing to the node well, when the flow rate reaches a preset flow rate threshold, triggering an alarm to stop the flow; The water level in the node well is compared with the preset water level threshold range to trigger the full pipe and full well overflow alarms respectively.

3. The urban smart drainage method according to claim 1, characterized in that: The urban smart drainage method further comprises the following steps: According to the structure of the underground pipe network, a 3D model of the underground pipe network is established in the 3D simulation software; The three-dimensional model includes virtual node wells and virtual pipe segments corresponding to the actual underground pipe network structure, and the water flow status of each virtual pipe segment is updated in real time based on the monitoring data of the corresponding actual pipe segment; Based on the actual water level, flow velocity and flow rate of each pipe section, the water flow status of the corresponding part in the 3D model of the underground pipe network is mapped and configured in the 3D simulation software to show it to the staff.

4. An urban smart drainage system, characterized in that: It includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the urban smart drainage method as described in any one of claims 1-3.

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