Intelligent drainage pipe network management system and use method thereof

Abstract

The intelligent drainage pipe network management system comprises a sensing layer, a data layer, a core processing layer and an application layer, the sensing layer comprises a sensor group and a calibration unit which are arranged at key nodes of a drainage pipe network, the data layer comprises a cloud server and a storage device, and the core processing layer comprises a computing power unit and a hydraulic model. The computing power unit is composed of a plurality of processors, the application layer comprises a visualization module, an early warning module and a scheduling module, static management of an existing drainage pipe network is changed into dynamic management, prediction is carried out, the future state of the pipe network is predicted, meanwhile, a digital twinborn model of the drainage pipe network is calibrated through real-time data, and the dynamic management of the drainage pipe network is optimized. The scheduling and planning scheme is more scientific and reliable, a complete closed loop of perception-simulation-decision-execution-feedback is formed, the operation efficiency of the system is continuously improved, and overflow pollution, waterlogging loss and energy consumption are reduced through predictive maintenance and optimal scheduling.

Description

TECHNICAL FIELD

[0001] The present application relates to a drainage pipe network management system, in particular to a smart drainage pipe network management system and a use method thereof applied to the technical field of digital management of urban infrastructure. BACKGROUND

[0002] The smart pipe network management system is a comprehensive management platform for the complex underground pipe networks of water supply, drainage, gas and heat in cities, which is constructed by using advanced information technologies such as Internet of Things, big data, artificial intelligence and cloud computing. The core of the system is to realize the comprehensive perception of the operation state of the pipe network pressure, flow and water quality by deploying a large number of intelligent sensors; to complete the integrated management of various spatial and attribute data by using GIS and BIM technologies, and to form a "one map" type digital baseboard. On this basis, the system uses AI algorithms to intelligently analyze massive data, realizes leakage early warning, fault accurate positioning, risk prediction and load scheduling optimization, and thus changes from passive response to active management.

[0003] The specification of Chinese invention CN118862391B discloses a method and system for automatically constructing a drainage pipe network digital twin model based on UE5. A pipeline blueprint class and a pipe point blueprint class are created in UE5. An editor tool blueprint is created in UE5, and editor tool blueprint scripts are used to automatically construct pipeline and pipe point digital twin models. The present application realizes seamless connection between drainage pipe network modeling and business application, has the advantage of high-fidelity visualization, and provides a method for realizing hot updating of model data on an application platform through interface calling, which is beneficial to the application and development of digital twin technology in the field of municipal drainage pipe networks.

[0004] The specification of Chinese invention CN117610322B discloses a smart water management dynamic monitoring system and method based on digital twinning. Sensors are installed on water sources, water plants and pipe networks to monitor parameters such as water level, flow, temperature, humidity and wind speed in real time. Real-time monitoring and prediction of the water management system are realized through digital twinning technology, which improves the real-time performance, accuracy and intelligent degree of water management monitoring.

[0005] In the prior art, the digital twinning system is used to monitor and predict the drainage pipe network in real time, which improves the progress and intelligent degree of control of the drainage pipe network monitoring. However, as the monitoring time increases, the error data generated by the detection sensors will gradually accumulate, which will affect the accuracy of the digital twinning model and the accuracy of subsequent pipe network monitoring and control. SUMMARY

[0006] In view of the above prior art, the technical problem to be solved by the present application is that as the monitoring time increases, the error data generated by the detection sensors will gradually accumulate, which will affect the accuracy of the digital twinning model.

[0007] To solve the above problems, the present application provides a smart drainage pipe network management system, which comprises a perception layer, a data layer, a core processing layer and an application layer, the perception layer is signal connected with the data layer, the data layer is signal connected with the core processing layer, and the core processing layer is signal connected with the application layer; The perception layer comprises a sensor group arranged at key nodes of the drainage pipe network and a calibration unit, the data layer comprises a cloud server and a storage device for storing static data, real-time data, model data and weather data, the core processing layer comprises a computing power unit and a hydraulic model, the computing power unit is composed of multiple processors, and the application layer comprises a visualization module, an early warning module and a scheduling module.

[0008] In the above-mentioned smart drainage pipe network management system, the static management of the existing drainage pipe network is upgraded to dynamic management and prediction, and at the same time, the real-time data is used to calibrate the digital twin model of the drainage pipe network, so as to improve the system operation efficiency and realize predictive maintenance and optimal scheduling.

[0009] As a further improvement of the present application, the method mainly comprises the following steps: Step S1, model establishment, the core processing layer generates a topological structure diagram of the drainage pipe network based on static GIS data, and constructs a digital twin model of the drainage pipe network by using city drainage pipe network GIS and design data; Step S2, data collection, the perception layer collects real-time drainage pipe network state data, and transmits the data to the core processing layer through the data layer in real time; Step S3, data processing, the core processing layer periodically calibrates the prediction of the digital twin model by using real-time data and weather data of the perception layer, and continuously processes the state of the drainage pipe network; Step S4, report generation, the core processing layer displays the results of data processing in the visualization module to generate a waterlogging risk map and an operation state evaluation report, when there is a waterlogging risk, triggers an early warning through the early warning module and generates an optimal scheduling and engineering modification scheme; Step S5, continuous monitoring, the scheduling module publishes scheduling tasks to maintenance personnel according to the early warning and the generated optimal scheduling and engineering modification scheme, and continuously monitors the effect to form a closed loop.

[0010] As a further improvement of the present application, the calibration unit comprises a calibration main body arranged in the inspection well, a detection array composed of a plurality of sensors is arranged on the outer wall of the calibration main body, a well cover is arranged at the opening of the inspection well, a support is fixedly connected to the lower end of the well cover, a flexible reel is rotatably connected to the support, a flexible connecting rope is fixedly connected between the flexible reel and the calibration main body, a connecting unit one is threadedly connected to the lower end of the calibration main body, the connecting unit one comprises a threaded portion one threadedly connected to the calibration main body, a spring buckle one is fixedly connected to the lower end of the threaded portion one, a pair of prefabricated grooves one is formed in the inner wall of the spring buckle one, a connecting ring is sleeved in the spring buckle one, a connecting column is fixedly connected to the lower end of the connecting ring, and a counterweight is fixedly connected to the lower end of the connecting column.

[0011] As a further improvement of the present application, the lower end of the well cover is fixedly connected with an elastic buffer unit matched with the support, a rope passing hole is formed in the lower end of the elastic buffer unit, and the flexible connecting rope passes through the rope passing hole. The elastic buffer unit can play a buffering role, so that the calibration main body is not easily damaged by colliding with the well cover when the flexible reel winds up the calibration main body.

[0012] As a further improvement of the present application, the connecting column is made of a non-elastic material, and the sum of the heights of the connecting column and the calibration main body is less than one fifth of the depth of the inspection well, so that the calibration main body is mostly below the water level in the inspection well and is not easily affected in the measurement work.

[0013] As a further improvement of the present application, the calibration unit further comprises a shell, a rotating groove is formed in the upper end of the shell, a rotating unit is rotatably connected in the rotating groove, a locking ring matched with the shell is threadedly connected at the opening of the rotating groove, the rotating unit passes through the locking ring and is fixedly connected with the flexible connecting rope, and a power plate is fixedly connected to the outer wall of the shell. A connecting unit two is threadedly connected to the lower end of the shell, the connecting unit two is sleeved with the connecting ring, the connecting unit two comprises a threaded portion two threadedly connected with the calibration main body, a movable portion is arranged at the lower side of the threaded portion two, a limiting column is fixedly connected to the lower end of the threaded portion two, the lower end of the limiting column passes through the movable portion and is connected with a limiting head, a spring buckle two is fixedly connected to the lower end of the movable portion, and a pair of prefabricated grooves two is formed in the inner wall of the spring buckle two.

[0014] As a further improvement of the present application, a plurality of limiting grooves are formed in the lower end of the threaded portion two, a plurality of limiting blocks matched with the limiting grooves are fixedly connected to the upper end of the movable portion. When it is necessary to disassemble and replace the connecting unit two, the limiting grooves and the limiting blocks can be matched by pressing the movable portion, so that the movable portion and the threaded portion two are rotated by the residual part of the spring buckle two, the failed connecting unit two is taken out, and the replacement is facilitated.

[0015] As a further improvement of the present application, the outer side of the limiting column is sleeved with a compression spring, both ends of the compression spring are only in contact with the threaded part two and the movable part, and the rotation of the calibration main body in the normal working process is not easily affected by the clamping of the limiting groove and the limiting block.

[0016] In summary, the static management of the existing drainage pipe network is upgraded to dynamic management and prediction, the future state of the pipe network is predicted, and the digital twin model of the drainage pipe network is calibrated using real-time data, making the scheduling and planning scheme more scientific and reliable. The complete closed loop of "perception-simulation-decision-execution-feedback" is formed, the system operation efficiency is continuously improved, and through predictive maintenance and optimized scheduling, the overflow pollution, waterlogging loss and energy consumption are reduced.

[0017] At the same time, two types of calibration units are designed, which are applied to the environment with slow water flow and less silt loading and the environment with fast water flow and more silt mixed, which can reduce the risk of damage caused by the collision between the calibration main body and the inspection well, effectively avoid the phenomenon of local excessive erosion and wear of the calibration main body, and increase the service life of the calibration main body. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 The structure diagram of the intelligent drainage pipe network system of the first embodiment of the present application; Figure 2 The data type storage data diagram of the data layer of the first embodiment of the present application; Figure 3 The main process of the working of the intelligent drainage pipe network system of the first embodiment of the present application; Figure 4 The structure diagram of the inspection well in which the calibration unit of the second embodiment of the present application is installed; Figure 5 The structure diagram of the calibration main body of the second embodiment of the present application; Figure 4 The structure diagram of the calibration main body of the second embodiment of the present application; Figure 6 The structure diagram of the calibration main body of the second embodiment of the present application; Figure 4 The structure diagram of the calibration main body of the second embodiment of the present application; Figure 7 The structure diagram of the calibration main body of the second embodiment of the present application; Figure 8 The structure diagram of the inspection well in which the calibration unit of the third embodiment of the present application is installed; Figure 9 The cross-sectional structure diagram of the calibration main body of the third embodiment of the present application; Figure 10 The structure diagram of the connecting unit two of the third embodiment of the present application.

[0019] Explanation of reference numerals in the drawing: 1 manhole, 2 well cover, 3 support, 4 elastic reel, 5 elastic buffer unit, 6 rope passing hole, 7 flexible connecting rope, 8 calibration main body, 801 housing, 802 power plate, 803 rotating unit, 804 locking ring, 9 counterweight, 10 connecting column, 11 connecting ring, 12 connecting unit one, 1201 threaded part one, 1202 spring buckle one, 1203 prefabricated groove one, 13 connecting unit two, 1301 threaded part two, 1302 limiting groove, 1303 limiting column, 1304 movable part, 1305 limiting block, 1306 compression spring, 1307 spring buckle two, 1308 prefabricated groove two. DETAILED DESCRIPTION

[0020] The three embodiments of the application will be described in detail below with reference to the accompanying drawings.

[0021] First embodiment: Figures 1-3 A smart drainage pipe network management system is shown, which includes a perception layer, a data layer, a core processing layer and an application layer. The perception layer is signal connected with the data layer, the data layer is signal connected with the core processing layer, and the core processing layer is signal connected with the application layer. The signal connection mode is NB-IoT, LoRaWAN or 5G. The perception layer includes a sensor group and a calibration unit arranged at key nodes (manholes, pump stations and discharge outlets, etc.) of the drainage pipe network. The calibration unit realizes multi-parameter acquisition at the same space-time point, solving the problem of different synchronization of traditional distributed sensors and difficulty in direct use of model calibration of digital twin system. The data layer includes a cloud server and a storage device, used for storing static data (pipe network GIS topological structure, pipe diameter and pipe network material, etc.), real-time data (real-time data uploaded by the sensor group and the calibration unit), model data (calibrated digital twin model parameters and historical simulation results) and weather data (regional weather conditions crawled by the Internet of Things).

[0022] The core processing layer includes a computing power unit and a hydraulic model, and the computing power unit is composed of one or more processors. The application layer includes a visualization module, an early warning module and a dispatching module.

[0023] The computing power unit provides computing power support for large-scale hydraulic model calculation and establishes a digital twin system for the hydraulic model. The detection data of the perception layer is used to simulate and warn of waterlogging risk, pipe overflow and blockage risk in the drainage pipe network. The hydraulic model is constructed based on static GIS data (geographic information data), and a pipe network topology structure diagram (standard file such as inp) for simulation is automatically generated. The pipe network hydraulic model is a city drainage pipe network model constructed based on the Saint-Venant equation set. The visualization module is a management interface based on WebGIS, which displays the current state of the pipe network, real-time monitoring data and simulation results (such as flooding range and flow velocity distribution). The warning module is a hierarchical warning and intelligent diagnosis of waterlogging risk, pipe overflow and blockage risk based on the simulation results of the digital twin system. The scheduling module gives an intelligent linkage scheduling scheme of the pump station and the gate based on the prediction results, or proposes an optimization suggestion for engineering reconstruction (such as the best pipe diameter and the location of the storage tank).

[0024] The method for using the same mainly includes the following steps: Step S1, model establishment, the core processing layer generates a topology structure diagram of the drainage pipe network based on static GIS data, and constructs a digital twin model of the drainage pipe network by using city drainage pipe network GIS and design data; Step S2, data collection, the perception layer collects real-time drainage pipe network state data, and transmits the data to the core processing layer in real time through the data layer; Step S3, data processing, the core processing layer periodically (every 15 minutes) calibrates the prediction of the digital twin model by using real-time data of the perception layer and weather data, and continuously predicts the state of the drainage pipe network, and the digital twin model runs; Step S4, report generation, the core processing layer displays the results of data processing in the visualization module, generates a waterlogging risk map and an operation state evaluation report, and when there is a waterlogging risk, triggers a warning through the warning module and generates an optimal scheduling and engineering reconstruction scheme; Step S5, continuous monitoring, the scheduling module publishes scheduling tasks to maintenance personnel according to the warning and the optimal scheduling and engineering reconstruction scheme generated, and continuously monitors the effect to form a closed loop.

[0025] The present application realizes the leap from static management to dynamic management and prediction of the existing drainage pipe network, realizes the prediction of the future state of the pipe network, calibrates the digital twin model of the drainage pipe network by using real-time data, makes the scheduling and planning scheme more scientific and reliable, forms a complete closed loop of "perception-simulation-decision-execution-feedback", continuously improves the system operation efficiency, reduces overflow pollution, waterlogging loss and energy consumption through predictive maintenance and optimal scheduling.

[0026] The second embodiment: Figures 4-7The calibration unit shown includes a calibration main body 8 arranged in the inspection well 1, a detection array composed of multiple sensors is arranged on the outer wall of the calibration main body 8, the inspection well 1 is provided with a well lid 2 at the opening, the lower end of the well lid 2 is fixedly connected with a support 3, the support 3 is rotatably connected with an elastic reel 4, the elastic reel 4 is fixedly connected with a flexible connecting rope 7 between the calibration main body 8, the lower end of the calibration main body 8 is threadedly connected with a connecting unit one 12, the connecting unit one 12 includes a threaded portion one 1201 threadedly connected with the calibration main body 8, the lower end of the threaded portion one 1201 is fixedly connected with a spring buckle one 1202, a pair of prefabricated grooves one 1203 are arranged on the inner wall of the spring buckle one 1202, a connecting ring 11 is sleeved in the spring buckle one 1202, the lower end of the connecting ring 11 is fixedly connected with a connecting column 10, and the lower end of the connecting column 10 is fixedly connected with a counterweight 9.

[0027] The detection array includes water level, flow rate, water quality and temperature sensors, and the number of each sensor is multiple, and in the detection process, the detection data of multiple sensors is used to verify whether the sensor is in normal working state: if the detection data of a sensor is greater than 5% of the average value of multiple sensor detection data, it is determined that the current sensor has a fault, the detection data of the current sensor is excluded, and the average value of the sensor detection data is recalculated.

[0028] The calibration unit selects high-precision sensors, and the sensor group arranged in the drainage pipeline selects low-cost simple sensors.

[0029] The underground water of the drainage pipe network flows into the inspection well 1 through the drainage pipeline, and is collected and discharged in the inspection well 1, the calibration main body 8 arranged in the inspection well 1 can collect the water temperature data in the inspection well 1, realize the high consistency of sampling point, sampling time and sampling frequency, for the hydraulic model in the digital twin system, the data of multiple parameters at the same space-time point is the "golden data" for high-precision model calibration, and this structure solves the problem that the traditional distributed sensor data is not synchronized and is difficult to be directly used for model calibration.

[0030] At the same time, the water flow impact force will be generated when multiple water flows converge, which will impact the calibration body 8 arranged in the inspection well 1, and there is a risk that the calibration body 8 will be collided with the inner wall of the inspection well 1, causing damage to the calibration body 8. When the water flow impact is small, the counterweight 9 and the connecting column 10 can fix the calibration body 8, so that the calibration body 8 is not easy to shake when subjected to water flow impact, reducing the probability of collision between the calibration body 8 and the inner wall of the inspection well 1. When the water flow impact is large, there is a risk that the counterweight 9 will be moved, and the impact force caused by the water flow will cause the connecting unit one 12 to break at the prefabricated groove one 1203. At this time, the elastic reel 4 loses the constraint and will quickly wind up, taking the calibration body 8 out of the water in the inspection well 1, reducing the risk of damage caused by the collision between the calibration body 8 and the inspection well 1. At the same time, most of the detection data of the calibration body 8 will change greatly, and the calibration body 8 at the current position will be marked as invalid, and maintenance personnel will be arranged to maintain the calibration body 8 at the appropriate time.

[0031] In order to increase the service life of the elastic reel 4, the calibration body 8, the counterweight 9, the connecting column 10, the connecting ring 11 and the connecting unit one 12, corrosion-resistant materials are required, and corrosion-resistant treatment is required on the surface.

[0032] The lower end of the well cover 2 is fixedly connected with an elastic buffer unit 5 matched with the support 3. The lower end of the elastic buffer unit 5 is drilled with a rope passing hole 6, and the flexible connecting cable 7 penetrates the rope passing hole 6. The elastic buffer unit 5 can play a buffering role, so that the elastic reel 4 is not easy to be damaged by collision with the well cover 2 when winding up the calibration body 8 due to the excessive speed of the calibration body 8.

[0033] The connecting column 10 is made of non-elastic material. The sum of the height of the connecting column 10 and the calibration body 8 is less than one fifth of the depth of the inspection well 1, so that the calibration body 8 is located below the water level in the inspection well 1 most of the time, and is not easy to affect the measurement work of the calibration body 8.

[0034] The third embodiment: Figures 8-10 The calibration unit shown further includes a housing 801, the upper end of the housing 801 is drilled with a rotating groove, the rotating groove is rotatably connected with a rotating unit 803, the opening of the rotating groove is threadedly connected with a locking ring 804 matched with itself, and the rotating unit 803 penetrates the locking ring 804 and is fixedly connected with the flexible connecting cable 7. The outer wall of the housing 801 is fixedly connected with a power board 802. The lower end of the shell 801 is threadedly connected with a connecting unit two 13, the connecting unit two 13 is sleeved with the connecting ring 11, the connecting unit two 13 comprises a threaded part two 1301 threadedly connected with the calibration main body 8, the lower side of the threaded part two 1301 is provided with a movable part 1304, the lower end of the threaded part two 1301 is fixedly connected with a limiting column 1303, the lower end of the limiting column 1303 penetrates through the movable part 1304 and is connected with a limiting head, the lower end of the movable part 1304 is fixedly connected with a spring buckle two 1307, a pair of prefabricated grooves two 1308 are formed in the inner wall of the spring buckle two 1307.

[0035] When the water flow gathered in the inspection well 1 is too turbulent, the surface of the calibration main body 8 will be strongly washed, the connection between the calibration main body 8 and the flexible connecting rope 7 and the connecting column 10 will be changed from fixed connection to rotary connection, so that the calibration main body 8 will rotate under the impact of the water flow on the power plate 802, and the phenomenon that the calibration main body 8 is locally excessively eroded by the water flow will not easily occur, the service life of the calibration main body 8 is increased, and the protection measures for the calibration main body 8 are the same as those of the second embodiment.

[0036] A plurality of limiting grooves 1302 are dug in the lower end of the threaded part two 1301, a plurality of limiting blocks 1305 matched with the limiting grooves 1302 are fixedly connected to the upper end of the movable part 1304, when it is needed to disassemble and replace the connecting unit two 13, the limiting grooves 1302 and the limiting blocks 1305 can be matched by pressing the movable part 1304, the movable part 1304 and the threaded part two 1301 are rotated by the residual part of the spring buckle two 1307, the invalid connecting unit two 13 is taken out and conveniently replaced.

[0037] The outer side of the limiting column 1303 is sleeved with a compression spring 1306, the two ends of the compression spring 1306 only contact the threaded part two 1301 and the movable part 1304, the rotation of the calibration main body 8 in the normal working process is not easily affected by the clamping of the limiting grooves 1302 and the limiting blocks 1305.

[0038] Compared with the second embodiment, the calibration main body 8 of the present embodiment is more suitable for the environment where the water flow is fast or the water flow is mixed with a large amount of silt, the phenomenon that the calibration main body 8 is locally excessively eroded and worn can be effectively avoided, and the service life of the calibration main body 8 is increased.

[0039] In combination with the current actual demand, the above-mentioned embodiments adopted by the present application are not limited to this, various changes made within the knowledge range of the persons skilled in the art without departing from the concept of the present application still fall within the protection range of the present application.

Claims

1. A smart drainage network management system, characterized in that: It includes a perception layer, a data layer, a core processing layer, and an application layer. The perception layer is signal-connected to the data layer, the data layer is signal-connected to the core processing layer, and the core processing layer is signal-connected to the application layer. The perception layer includes sensor groups and calibration units deployed at key nodes of the drainage network; the data layer includes cloud servers and storage devices; the core processing layer includes computing units and hydraulic models, with the computing units consisting of multiple processors; and the application layer includes a visualization module, an early warning module, and a scheduling module.

2. The intelligent drainage network management system according to claim 1, characterized in that: Its usage mainly includes the following steps: Step S1: Model establishment. The core processing layer generates a topological structure map of the drainage network based on static GIS data, and constructs a digital twin model of the drainage network using urban drainage network GIS and design data. Step S2: Data collection. The perception layer collects drainage network status data in real time and transmits it to the core processing layer in real time through the data layer. Step S3: Data processing. The core processing layer periodically uses real-time data and weather data from the perception layer to calibrate the predictions of the digital twin model and continuously predicts the status of the drainage network. Step S4: Report generation. The core processing layer displays the data processing results in the visualization module, generating an urban flooding risk map and an operational status assessment report. When there is an urban flooding risk, the early warning module triggers an early warning and generates the optimal scheduling and engineering modification plan. Step S5: Continuous monitoring. The scheduling module issues scheduling tasks to maintenance personnel based on the early warning and the generated optimal scheduling and engineering modification plan, and continuously monitors the effect to form a closed loop.

3. The intelligent drainage network management system according to claim 1, characterized in that: The calibration unit includes a calibration body (8) installed inside the manhole (1). A detection array consisting of multiple sensors is installed on the outer wall of the calibration body (8). A manhole cover (2) is placed at the opening of the manhole (1). A bracket (3) is fixedly connected to the lower end of the manhole cover (2). An elastic roller (4) is rotatably connected to the bracket (3). A flexible connecting cable (7) is fixedly connected between the elastic roller (4) and the calibration body (8). A connecting unit (12) is threadedly connected to the lower end of the calibration body (8). The connecting unit (12) includes a threaded part (1201) that is threaded to the calibration body (8). A spring buckle (1202) is fixedly connected to the lower end of the threaded part (1201). A pair of pre-made grooves (1203) are provided on the inner wall of the spring buckle (1202). A connecting ring (11) is sleeved inside the spring buckle (1202). A connecting post (10) is fixedly connected to the lower end of the connecting ring (11). A counterweight (9) is fixedly connected to the lower end of the connecting post (10).

4. The intelligent drainage network management system according to claim 3, characterized in that: The lower end of the manhole cover (2) is fixedly connected to an elastic buffer unit (5) whose position matches that of the bracket (3). The lower end of the elastic buffer unit (5) has a rope hole (6) and a flexible connecting cable (7) passes through the rope hole (6).

5. The intelligent drainage network management system according to claim 3, characterized in that: The connecting column (10) is made of non-elastic material, and the sum of the heights of the connecting column (10) and the calibration body (8) is less than one-fifth of the depth of the manhole (1).

6. The intelligent drainage network management system according to claim 3, characterized in that: The calibration unit also includes a housing (801), the upper end of which is chiseled with a rotating groove, a rotating unit (803) is rotatably connected in the rotating groove, a locking ring (804) matching itself is threaded at the opening of the rotating groove, and the rotating unit (803) passes through the locking ring (804) and is fixedly connected to the flexible connecting cable (7), and a power plate (802) is fixedly connected to the outer wall of the housing (801). The lower end of the housing (801) is threadedly connected to a connecting unit two (13), which is sleeved with a connecting ring (11). The connecting unit two (13) includes a threaded part two (1301) that is threadedly connected to the calibration body (8). The lower side of the threaded part two (1301) is provided with a movable part (1304). The lower end of the threaded part two (1301) is fixedly connected to a limiting post (1303). The lower end of the limiting post (1303) passes through the movable part (1304) and is connected to a limiting head. The lower end of the movable part (1304) is fixedly connected to a spring buckle two (1307). A pair of prefabricated grooves two (1308) are opened on the inner wall of the spring buckle two (1307).

7. The intelligent drainage network management system according to claim 6, characterized in that: The lower end of the threaded part (1301) is provided with multiple limiting grooves (1302), and the upper end of the movable part (1304) is fixedly connected with multiple limiting blocks (1305) that match the limiting grooves (1302).

8. The intelligent drainage network management system according to claim 6, characterized in that: A compression spring (1306) is sleeved on the outside of the limiting post (1303), and the two ends of the compression spring (1306) only contact the threaded part (1301) and the movable part (1304).

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