Urban intelligent drainage method and system

Abstract

The invention discloses an urban intelligent drainage method and system, and relates to the technical field of business information, and the intelligent drainage management method comprises the following steps: dividing an underground pipe network into pipe sections and a plurality of node wells which are communicated with one another through the pipe sections according to a topological structure of the urban underground pipe network; obtaining the water level and the flow velocity of the pipe section, flowing to the node well, of the water flow through a sensor arranged in the node well, and calculating the flow of each pipe section according to the water level and the flow velocity; the working state of each pipe section is recognized according to the water level, the flow speed and the flow of each pipe section, when the working state of each pipe section is abnormal, the abnormity is automatically sensed and recognized, and accordingly, alarm is intelligently triggered, and a corresponding disposal instruction is sent out. According to the intelligent drainage management method provided by the invention, the leakage type can be accurately identified, the leakage property and position can be judged, an effective disposal instruction can be intelligently sent out, and the accuracy and the use effect of construction, management and maintenance of an urban drainage system can be greatly improved.

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

[0003] Some existing underground pipe network management systems attempt to install sensors in each inspection well or node well to collect pipe segment data in real time. However, these systems often have a common problem: they collect too many types of data at each monitoring point, trying to cover various parameters such as water level, flow rate, pressure, water quality, etc. The massive amount of data not only pushes up the cost of system construction and operation and maintenance, but also puts tremendous pressure on data transmission and storage. More importantly, many data parameters are of no substantial help in gaining insight into the overall operating status of the pipe network.

[0004] In order to use these high-cost sensors, due to cost and technical pressures, existing systems often cannot achieve comprehensive coverage of all drainage networks in a city, but can only selectively monitor some areas. But the problem is that urban drainage networks of the same type, such as sewage networks or rainwater networks, are designed to be interconnected. The operating conditions of local networks often affect the entire system. For example, if a blockage occurs somewhere upstream, the flow rate and water level of the downstream pipe section will change. If we only focus on the local area, we are likely to miss this correlation and misjudge the location of the fault point.

[0005] In summary, urban drainage network management urgently needs a new intelligent method. This method should be able to achieve full coverage of urban pipe networks, all-weather real-time monitoring, accurately detect anomalies, locate fault types and locations, and more accurately manage underground drainage intelligently at the lowest cost. Summary of the invention

[0006] 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.

[0007] In a first aspect, the present application provides an urban smart drainage method, the urban smart drainage method comprising the following steps: 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; The water level and flow rate of the pipe section where water flows to the node well are obtained by a sensor arranged in the node well, and the flow rate of each pipe section is calculated according to the water level and flow rate; The working status of each pipe section is identified 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 are automatically issued to the staff.

[0008] Optionally, identifying the working status of each pipe section according to the water level, flow velocity and flow rate of each pipe section includes the following steps: The inflow flow rate of the node well at the starting end of each pipe section and the inflow flow rate of the node well at the ending end are obtained to obtain the inflow flow rate and outflow flow rate of each pipe section. When the difference between the inflow flow rate and the outflow flow rate of the pipe section exceeds the preset leakage threshold, it is determined that the pipe section has leakage; When it is determined that a pipe leak occurs: The node well at the start 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 start end of the pipe section where the leakage occurs is obtained as the second node well, and the node well at the end end of the pipe section where the leakage occurs is obtained as the third node well; The maximum flow rate and the 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.

[0009] Optionally, 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.

[0010] Optionally, identifying the working status of each pipe section according to the water level, flow velocity and flow rate of each pipe section further 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 interval to trigger the full pipe and full well overflow alarms respectively.

[0011] Optionally, the urban smart drainage method further includes 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 sections corresponding to the actual underground pipe network structure, and the water flow state of each virtual pipe section is updated in real time according to the monitoring data of the corresponding actual pipe section; 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 three-dimensional model of the underground pipe network is mapped and configured in the three-dimensional simulation software to show the staff.

[0012] 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 are loaded and executed by the processor to implement the urban smart drainage method as described in any one of the first aspects.

[0013] Compared with the prior art, the technical solution provided by this application has the following advantages: In urban drainage pipe network systems, the identification and location of leakage problems has always been a technical challenge. Traditional monitoring methods mainly rely on flow balance analysis of a single pipe section, that is, comparing the flow difference between the inlet and outlet of the pipe section to determine whether there is a leakage.

[0014] However, the inventors have discovered that this method has a significant limitation: it cannot effectively distinguish between two leakage fault conditions of different natures.

[0015] 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.

[0016] The second situation is hidden leakage failure, which usually occurs in the area where sediments accumulate inside the pipe section. The presence of sediments causes the effective inner diameter of the pipe section to gradually decrease, but leakage occurs at the same time.

[0017] This creates a deceptive phenomenon: although the pipe section actually leaks, the presence of sediments will cause the water level to rise. When the water level and flow rate are used to calculate the flow, the calculated flow value may not show obvious abnormalities. This is because the change in the water level in the flow calculation formula compensates for the flow loss caused by the leak to some extent. This makes the measurement data at the end node well of the pipe section appear to be relatively "normal".

[0018] However, this "normal" is deceptive. The real problem will appear in the next pipe section. When the water flows into the next pipe section, the cross-sectional area of ​​the pipe section returns to normal due to the absence of sediment. At this time, the actual reduction in flow will appear, and it will appear as an abnormality at the measurement point at the end of the next pipe section.

[0019] This creates a tricky problem: looking only at the abnormal data at the end of the downstream pipe section, it is impossible to directly determine whether the abnormality is caused by hidden leakage in the upstream pipe section or explicit leakage in the current pipe section itself. Both situations will manifest as flow abnormalities at the end of the current pipe section.

[0020] This application proposes an innovative three-point diagnosis mechanism to solve this problem. It not only focuses on the flow change of a single pipe section, but also analyzes the flow data of three consecutive node wells at the same time. By obtaining the flow data of these three node wells under different working conditions (high flow and low flow conditions), a leakage status diagnosis mechanism is established.

[0021] Specifically, when a hidden leak occurs, the following phenomena occur: Under normal water volume, the amount of hidden leakage is in a fixed proportional relationship with the height of the deposition, that is, the amount of leaked water is a value that is in a fixed proportion to the height of the deposition.

[0022] However, in the case of large water volume, the height of the sediment is superimposed on the water level of the large water volume, 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, that is Will be too small, resulting in Too big.

[0023] 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 because when the water volume is reduced, the water level after the fixed water volume is discharged is lower than that at high water volume. The compensation effect cannot completely eliminate this effect, which will make the minimum flow data of the second node well will be smaller, so Will be too large, resulting in This will eventually result in D being too high.

[0024] In contrast, when an obvious leak occurs in a pipe section, the situation is different. The flow loss caused by the obvious leak has the same effect under high and low water volume conditions because it does not depend on the compensation effect of the water level. In other words, the proportion of the impact of the leakage on the total flow is relatively stable under different water volume conditions. Ultimately, D will not be too high.

[0025] 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.

[0026] 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

[0027] Figure 1 A schematic diagram of the flow of the intelligent drainage method provided in the embodiment of the present application; Figure 2 A schematic diagram showing data display of the intelligent drainage method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The technical solution in this application will be described below in conjunction with the accompanying drawings.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application can also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only part of the embodiments of the present application, not all of the embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0030] In the first aspect, the present application provides a method for urban smart drainage, such as Figure 1 As shown, the urban smart drainage method includes the following steps: 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.

[0031] S102: The water level and flow rate of the pipe section where water flows to the node well are obtained through a sensor installed in the node well, and the flow rate of each pipe section is calculated according to the water level and flow rate.

[0032] Specifically, the sensor is arranged at the outlet of the pipe section flowing to the node well. The flow rate of each pipe section can be calculated by the pipe section flow rate calculation formula in hydraulics, which is the prior art and will not be described in detail.

[0033] S103: The working status of each pipe section is identified according to 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 are automatically issued to the staff.

[0034] Specifically, the working status of each pipe section is identified according to the water level, flow velocity and flow rate of each pipe section, including the following steps: The inflow flow of the node well at the starting end and the inflow flow of the node well at the ending end of each pipe section are obtained to obtain the inflow flow and outflow flow of each pipe section. When the difference between the inflow flow and the outflow flow of the pipe section exceeds the preset leakage threshold, it is determined that the pipe section has a leakage phenomenon.

[0035] Specifically, the preset leakage threshold is a manually set value, the purpose of which 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.

[0036] When it is determined that a pipe leak occurs: The starting node well of the previous pipe segment of the pipe segment with leakage is obtained as the first node well, the starting node well of the pipe segment with leakage is obtained as the second node well, and the ending node well of the pipe segment with leakage is obtained as the third node well.

[0037] Specifically, the first node well is the starting end of the previous pipe segment of the pipe segment where the leakage occurs, the second node well is the connecting node well between the previous pipe segment and the current pipe segment where the leakage occurs, and the third node well is the ending node of the current pipe segment where the leakage occurs.

[0038] The maximum flow rate and the 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.

[0039] Specifically, the preset leakage fault diagnosis formula is: It is an artificially 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.

[0040] 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; Wherein, K is an empirical parameter set artificially. 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.

[0041] Specifically, the working state of each pipe section is identified according to the water level, flow velocity and flow rate of each pipe section, and the following steps are also included: 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: 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.

[0042] Specifically, the flow rate threshold is an artificially set value.

[0043] The water level in the node well is compared with the preset water level threshold interval to trigger the full pipe and full well overflow alarms respectively.

[0044] Specifically, the water level threshold intervals are two artificially 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.

[0045] 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.

[0046] Specifically, the urban smart drainage method further includes 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 sections corresponding to the actual underground pipe network structure, and the water flow state of each virtual pipe section is updated in real time according to the monitoring data of the corresponding actual pipe section; 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 three-dimensional model of the underground pipe network is mapped and configured in the three-dimensional simulation software to show the staff.

[0047] In an embodiment of the present application, the three-dimensional simulation software is 3DEXPERIENCE.

[0048] Reference Figure 2 , the 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 for display to the staff.

[0049] In summary, the specific working principle and beneficial effects of the urban smart drainage method and system provided in the embodiments of the present application are: In urban drainage pipe network systems, the identification and location of leakage problems has always been a technical challenge. Traditional monitoring methods mainly rely on flow balance analysis of a single pipe section, that is, comparing the flow difference between the inlet and outlet of the pipe section to determine whether there is a leakage.

[0050] However, the inventors have discovered that this method has a significant limitation: it cannot effectively distinguish between two leakage situations of different natures.

[0051] 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.

[0052] The second situation is hidden leakage, which usually occurs in the area where sediments accumulate inside the pipe section. The presence of sediments causes the effective inner diameter of the pipe section to gradually decrease, but leakage occurs at the same time.

[0053] This creates a deceptive phenomenon: although the pipe section actually leaks, the presence of sediments will cause the water level to rise. When the water level and flow rate are used to calculate the flow, the calculated flow value may not show obvious abnormalities. This is because the change in the water level in the flow calculation formula compensates for the flow loss caused by the leak to some extent. This makes the measurement data at the end node well of the pipe section appear to be relatively "normal".

[0054] However, this "normal" is deceptive. The real problem will appear in the next pipe section. When the water flows into the next pipe section, the cross-sectional area of ​​the pipe section returns to normal due to the absence of sediment. At this time, the actual reduction in flow will appear, and it will appear as an abnormality at the measurement point at the end of the next pipe section.

[0055] This creates a tricky problem: looking only at the abnormal data at the end of the downstream pipe section, it is impossible to directly determine whether the abnormality is caused by hidden leakage in the upstream pipe section or explicit leakage in the current pipe section itself. Both situations will manifest as flow abnormalities at the end of the current pipe section.

[0056] This application proposes an innovative three-point diagnosis mechanism to solve this problem. It not only focuses on the flow change of a single pipe section, but also analyzes the flow data of three consecutive node wells at the same time. By obtaining the flow data of these three node wells under different working conditions (high flow and low flow conditions), a leakage status diagnosis mechanism is established.

[0057] Specifically, when a hidden leak occurs, the following phenomena occur: Under normal water volume, the amount of hidden leakage is in a fixed proportional relationship with the height of the deposition, that is, the amount of leaked water is a value that is in a fixed proportion to the height of the deposition.

[0058] However, in the case of large water volume, the height of the sediment is superimposed on the water level of the large water volume, 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, that is Will be too small, resulting in Too big.

[0059] 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 because when the water volume is reduced, the water level after the fixed water volume is discharged is lower than that at high water volume. The compensation effect cannot completely eliminate this effect, which will make the minimum flow data of the second node well will be smaller, so Will be too large, resulting in This will eventually result in D being too high.

[0060] In contrast, when an obvious leak occurs in a pipe section, the situation is different. The flow loss caused by the obvious leak has the same effect under high and low water volume conditions because it does not depend on the compensation effect of the water level. In other words, the proportion of the impact of the leakage on the total flow is relatively stable under different water volume conditions. Ultimately, D will not be too high.

[0061] 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.

[0062] The urban smart drainage method provided in this application can accurately identify the type of leakage, determine the nature and location of the leakage, and maintenance personnel can take more targeted treatment measures to improve the accuracy of drainage system maintenance.

[0063] Furthermore, while the above embodiments have fully described the technical solutions claimed for protection in the claims, considering the remaining solutions and their beneficial technical effects recorded by the inventor in the technical disclosure document, 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: 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: Basic conditions of this patented technology: 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".

[0064] The existing drawings of the urban drainage system were sorted out and designed for rainwater and sewage diversion. Two "independent, clear and complete" rainwater and sewage systems and all the "wrongly mixed" pipe sections connecting the two systems were sorted out.

[0065] All elements within the system are classified according to standard codes.

[0066] Carry out comprehensive dredging, repair and maintenance on each node well in the drainage system.

[0067] Node wells and special sites are established throughout the system in accordance with specified conditions.

[0068] 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.

[0069] This patented technology is an indispensable basic core technology for realizing the urban smart drainage system, which is specifically reflected in the following unique and important application functions: Intelligent alarm and handling function for first-level (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.

[0070] 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.

[0071] Intelligent alarm and handling function for level 3 (severe) 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.

[0072] Intelligent alarm and handling function for faults when the influent (BOD5) concentration of the sewage treatment plant in the system is lower than the set value: trigger an alarm based on the online monitoring data of the sewage treatment plant, and issue a fault handling instruction based on the characteristic data comparison and analysis results.

[0073] Intelligent alarm and disposal function for high water level operation failure of sewage treatment plant’s inlet main pipe: Same as above, the alarm is also triggered by the set value.

[0074] Intelligent alarm and disposal function for sewage overflow into rivers and streams: When the water level in the well at the interception node beside the river and stream is higher than the interception weir and the water level of the river and stream at the outlet, 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.

[0075] 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, the fault alarm of river water backflow into the sewage pipe network at the well point is triggered, and relevant disposal instructions are issued according to the characteristic data comparison and analysis results.

[0076] Intelligent alarm and disposal function for blockage and damage of drainage network: blockage and damage occurring locally in the drainage system will cause abnormal changes in parameters such as water level in 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 of these parameters.

[0077] Intelligent supervision, alarm and disposal function of rainwater and sewage diversion renovation effect: When sewage is still discharged into the rainwater access node well at the end of the rainwater and sewage diversion renovation project on a sunny day, a fault alarm will be triggered, and disposal instructions will be issued based on the characteristic data comparison and analysis results. In particular, it can accurately and effectively supervise the standardized drainage behavior of various key drainage households.

[0078] Intelligent alarm and disposal function for waterlogging caused by poor drainage of rainwater system: During rainfall, the interception weir in the interception well at the end of the rainwater system seriously affects the smooth drainage of rainwater into the river, resulting in frequent waterlogging. When the water level in the node well in the low-lying area of ​​the system rises to the well seat, the waterlogging fault alarm will be triggered first, and corresponding disposal instructions will be issued based on the characteristic data comparison and analysis results. This patented technology can accurately predict the highest water level in each node well under different rainfall intensities, minimizing the occurrence of urban waterlogging disasters.

[0079] Intelligent alarm and disposal function for sewage and garbage discharged into rivers and streams through the rainwater system during heavy rain: Automatic alarm is triggered based on the increase of sewage and garbage accumulated at the starting point of the rainwater system (rainwater inlet, grille cover ditch, rainwater open ditch, etc.) and the rainwater discharge node wells of (six categories) key drainage households on sunny days, and disposal instructions are issued based on the characteristic value comparison and analysis results. Avoid concentrated flushing into rivers and streams during rainfall, which seriously pollutes the water quality of rivers and streams.

[0080] 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 of the pipe, it is particularly important to intelligently monitor the damage and leakage of the drainage system and properly handle it to avoid unsafe consequences.

[0081] Intelligent prevention and control function for odor leakage from sewage systems and the breeding of a large number of cockroaches, rats, mosquitoes, flies and other insects that deteriorate environmental sanitation: trigger data exceeding the standard alarm based on the online monitoring data of the urban environmental management department, and issue relevant disposal instructions based on the characteristic value comparison and analysis results to close the channels for odor leakage and the breeding of harmful small organisms.

[0082] Integrated modern intelligent management function for planning, construction, operation and maintenance of urban drainage systems: This patented technology provides precise demand basis and high-level advanced goals for the planning, construction, operation and maintenance of urban drainage systems, making this work scientific and orderly.

[0083] 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 instruction accuracy".

[0084] 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.

[0085] The above supplementary content is the inventor's further elaboration of this application, please refer to it for understanding.

[0086] 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 are loaded and executed by the processor to implement the urban smart drainage method as described in any of the aforementioned embodiments.

[0087] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. In addition, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. Moreover, in the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can represent A or B; "and / or" in this article is only a kind of association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. Furthermore, in the description of the embodiments of the present application, “plurality” refers to two or more than two.

[0088] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments described herein, but will conform to the widest scope 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 where water flows to the node well are obtained by a sensor arranged in the node well, and the flow rate of each pipe section is calculated according to the water level and flow rate; The working status of each pipe section is identified 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 are automatically issued to the staff.

2. The urban smart drainage method according to claim 1, characterized in that: The working status of each pipe section is identified according to the water level, flow velocity and flow rate of each pipe section, including the following steps: The inflow flow rate of the node well at the starting end of each pipe section and the inflow flow rate of the node well at the ending end are obtained to obtain the inflow flow rate and outflow flow rate of each pipe section. When the difference between the inflow flow rate and the outflow flow rate of the pipe section exceeds the preset leakage threshold, it is determined that the pipe section has leakage; When it is determined that a pipe leak occurs: The node well at the start 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 start end of the pipe section where the leakage occurs is obtained as the second node well, and the node well at the end end of the pipe section where the leakage occurs is obtained as the third node well; The maximum flow rate and the minimum flow rate of the first node well, the second node well and the third node well are obtained, and it is determined whether a hidden leakage occurs in the previous pipe section or a leakage occurs in the pipe section where the leakage occurs currently according to a preset leakage fault diagnosis formula.

3. The urban smart drainage method according to claim 2, characterized in that: 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.

4. The urban smart drainage method according to claim 1, characterized in that: The working status of each pipe section is identified according to the water level, flow velocity and flow rate of each pipe section, and the following steps are also included: 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 interval to trigger the full pipe and full well overflow alarms respectively.

5. 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 sections corresponding to the actual underground pipe network structure, and the water flow state of each virtual pipe section is updated in real time according to the monitoring data of the corresponding actual pipe section; 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 three-dimensional model of the underground pipe network is mapped and configured in the three-dimensional simulation software to show it to the staff.

6. 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, 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 claims 1-5.

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