Remote monitoring and management method for municipal water supply and drainage pipe network system

Abstract

The invention discloses a remote monitoring management method for a municipal water supply and drainage pipe network system, which relates to the technical field of water supply and drainage monitoring and comprises the following steps of preparation before monitoring, system erection, construction of a central data processing system, data acquisition, data analysis and obtaining of real-time flow Q according to data acquired by sensor equipment. The method comprises the following steps: calculating by using a pressure loss algorithm to obtain a pressure loss amount delta S, carrying out comprehensive evaluation, obtaining a comprehensive score A by using a pipe network comprehensive evaluation algorithm in combination with a real-time flow Q and the pressure loss amount delta S, and storing data, and has the characteristics that a pipeline material influence coefficient and a pipeline resistance coefficient are added, and fluid density and a friction coefficient are introduced when the pressure loss amount is calculated; and finally, a comprehensive score is obtained through a pipe network comprehensive evaluation algorithm, the operation quality of the drainage pipe network can be comprehensively evaluated, the pipe network pressure is automatically adjusted according to the pressure adjustment amount when an emergency occurs, and the problem deterioration is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply and drainage monitoring, and in particular to a method for remote monitoring and management of a municipal water supply and drainage network system. Background Art

[0002] Water is an indispensable material condition for the formation and development of cities. The water supply and drainage network system is a general term for the water supply network system and the drainage network system. For example, the urban water supply network system is a component of urban public utilities, usually composed of water sources, water transmission pipelines, water plants and distribution networks. After water is taken from the water source, it is sent to the water plant through the water transmission pipeline for water quality treatment. The treated water is pressurized and sent to users through the distribution network. In order to ensure the stable operation of the water supply and drainage network system, it needs to be monitored.

[0003] Current monitoring methods usually rely on stable flow conditions and uniform pipeline conditions. When abnormal conditions occur in the pipeline network, the accuracy of flow calculation will be affected. When monitoring pressure loss, the influence of fluid characteristics is not considered, resulting in poor adaptability to fluid monitoring. At the same time, there is a lack of overall analysis of the water supply and drainage network, making it difficult to comprehensively evaluate the operation quality of the water supply and drainage network and respond to abnormal conditions in a timely manner. Summary of the invention

[0004] The purpose of the present invention is to provide a method for remote monitoring and management of a municipal water supply and drainage network system, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for remote monitoring and management of a municipal water supply and drainage network system, comprising the following steps: Preparation before monitoring: determine the monitoring points of the water supply and drainage network system, install corresponding sensor equipment and communication equipment at each monitoring point to realize remote monitoring; System construction, building a central data processing system for receiving, storing and processing data transmitted from communication equipment. The central data processing system includes servers, software systems, alarm systems and storage devices; Data collection: collect data from the water supply and drainage network in real time through sensor equipment, and transmit the collected data to the central data processing system through communication equipment; Data analysis, based on the data collected by the sensor equipment, obtain the real-time flow rate Q, then use the pressure loss algorithm to calculate the pressure loss ΔS, and set the dangerous threshold value Y1 of the pressure loss ΔS; Comprehensive evaluation: use the network comprehensive evaluation algorithm and combine the real-time flow rate Q and pressure loss ΔS to obtain the comprehensive score A, and set the comprehensive threshold Y2 of the comprehensive score A. According to the danger threshold Y1 and the comprehensive threshold Y2, determine whether to issue an alarm through the alarm system; Management response: When the pressure loss ΔS is greater than the danger threshold Y1 and when the comprehensive score A is greater than the comprehensive threshold Y2, the alarm system is triggered. At this time, the system automatically adjusts the pipe network pressure through the pressure adjustment algorithm to avoid the expansion of losses. At the same time, the maintenance personnel are notified to first check whether the sensor equipment is abnormal. If there is no abnormality, it means that there is a problem with the pipe network. Then the pipe network system is checked. After the problem area is determined, the pipe network system in this area is shut down. After the water supply and drainage pipe network in the problem area stops running, the maintenance personnel will repair it. After the repair is completed, the pipe network system in this area will be restarted; Data preservation: transfer the data of the water supply and drainage network system to the storage device for storage, and mark the date and time for the data for subsequent query.

[0006] Optionally, the alarm system includes an audible and visual alarm unit and a software notification unit. The audible and visual alarm unit is used to remind the staff on site through a voice announcer and an alarm light, and the software notification unit achieves a remote alarm effect by sending alarm information to the staff's mobile phone.

[0007] Optionally, the real-time traffic algorithm process in the data analysis step is as follows: ; Where Q is the real-time traffic; P in is the input pressure; P out is the output pressure; K is the influence coefficient of the pipeline material, ranging from 0.5 to 1; R is the pipe resistance coefficient, ranging from 10 -1 Up to 10 -3 , used to reflect the effect of pipeline resistance on flow; W is the traffic weight, and its initial value is 1.

[0008] Optionally, the pressure loss algorithm process in the data analysis step is as follows: ; Where ΔS is the pressure loss; L is the length of the pipeline; D is the pipe diameter; M is the fluid density; V is the flow rate; f is the friction coefficient, which ranges from 0 to 0.5 and is used to reflect the effect of friction on pressure loss when the fluid flows in the pipeline; A dangerous threshold value Y1 of the pressure loss ΔS is set. When the pressure loss ΔS exceeds the dangerous threshold value Y1, it indicates that there is a problem with the current pipeline. The management personnel are notified through the alarm system to check the pipeline. The influence of the flow velocity V can be amplified by squaring the flow velocity V, making it more sensitive to changes in the flow velocity V, highlighting the influence of changes in the flow velocity V on the pressure loss ΔS.

[0009] Optionally, the pipeline network comprehensive evaluation algorithm process in the comprehensive evaluation step is as follows: ; Where A is the comprehensive score; Q(t) is the flow rate at time t; Q(t-1) is the flow rate at time t-1; is the flow rate change rate; Z1 is the flow rate change rate influence coefficient; ΔS is the pressure loss; S max is the maximum safe pressure; is the pressure loss rate; Z2 is the pressure loss rate influence coefficient, ranging from 0 to 1, which is used to reflect the impact of pressure loss on the comprehensive score; Set the comprehensive threshold Y2 of the comprehensive score A. When the comprehensive score A is less than the comprehensive threshold Y2, it means that there is a problem with the current water supply and drainage network. At this time, reduce the real-time flow Q to obtain a more accurate water flow state in the network, and adjust the flow weight W in the real-time flow algorithm. Specifically: ; Where W is the traffic weight; e is a constant less than 1, indicating the maximum ratio of reducing the flow rate; Y2 is the comprehensive threshold; A is the comprehensive score; The flow weight W is dynamically adjusted according to the comprehensive score A to obtain more accurate data of the water supply and drainage network.

[0010] Optionally, the pressure adjustment algorithm process is as follows: ; Where ΔP adj is the pressure adjustment amount; ΔS is the pressure loss; ΔS tar is the target pressure loss; When the pressure loss ΔS is greater than the danger threshold Y1 and when the comprehensive score A is greater than the comprehensive threshold Y2, the system adjusts the pressure ΔP adjAutomatically adjust the pipe network pressure to avoid worsening problems Optionally, in the data collection step, the collected water supply and drainage network data is preprocessed, and the preprocessing includes cleaning, verification and formatting to eliminate erroneous data, abnormal values ​​and redundant information to ensure the accuracy and reliability of the data.

[0011] Optionally, the communication device in the pre-monitoring preparation step is a wireless communication device.

[0012] Optionally, in the pre-monitoring preparation step, after the sensor equipment is installed, the sensor equipment is regularly maintained to ensure monitoring quality.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention adds the pipe material influence coefficient K and the pipe resistance coefficient R in the process of calculating the real-time flow rate Q, so that it can be adjusted according to the actual situation to ensure the accuracy of the flow calculation. Then, the fluid density M and the friction coefficient f are introduced when calculating the pressure loss ΔS, and the influence of the fluid characteristics is fully considered, so that the flow calculation can adapt to different water supply and drainage pipes and changes in fluid characteristics, and no longer rely on stable flow conditions and uniform pipe states, thereby improving the adaptability of water supply and drainage pipe network system monitoring. Finally, the comprehensive score A is obtained through the pipe network comprehensive evaluation algorithm and combined with the real-time flow rate Q and the pressure loss ΔS, and the water supply and drainage pipe network system is analyzed as a whole. The results are quantified, which can more comprehensively evaluate the operation quality of the drainage pipe network and improve the monitoring effect.

[0014] 2. In the present invention, when the pressure loss ΔS is greater than the danger threshold Y1 and when the comprehensive score A is greater than the comprehensive threshold Y2, the system obtains the pressure adjustment amount through the pressure adjustment algorithm, and automatically adjusts the pipe network pressure according to the pressure adjustment amount without manual adjustment, so that the system can respond to abnormal situations in time, avoid the deterioration of problems, and reduce losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] For examples, see Figure 1This embodiment provides a method for remote monitoring and management of a municipal water supply and drainage network system, comprising the following steps: Preparation before monitoring: determine the monitoring points of the water supply and drainage network system, install corresponding sensor equipment and communication equipment at each monitoring point to realize remote monitoring; After the sensor equipment is installed, the sensor equipment and communication equipment should be maintained regularly. The maintenance process includes checking whether the housing of the sensor equipment and communication equipment is intact, whether there are cracks, corrosion and other physical damage, and cleaning the sensor with a detergent and a soft cloth to ensure the monitoring quality; System construction, building a central data processing system for receiving, storing and processing data transmitted from communication equipment. The central data processing system includes servers, software systems, alarm systems and storage devices; Data collection: collect data from the water supply and drainage network in real time through sensor equipment, and transmit the collected data to the central data processing system through communication equipment; Specifically, the collected water supply and drainage network data is preprocessed, including cleaning, verification and formatting, to eliminate erroneous data, abnormal values ​​and redundant information to ensure the accuracy and reliability of the data; Data analysis, based on the data collected by the sensor equipment, obtain the real-time flow rate Q, then use the pressure loss algorithm to calculate the pressure loss ΔS, and set the dangerous threshold value Y1 of the pressure loss ΔS; Comprehensive evaluation: use the network comprehensive evaluation algorithm and combine the real-time flow rate Q and pressure loss ΔS to obtain the comprehensive score A, and set the comprehensive threshold Y2 of the comprehensive score A. According to the danger threshold Y1 and the comprehensive threshold Y2, determine whether to issue an alarm through the alarm system; Management response: When the pressure loss ΔS is greater than the danger threshold Y1 and when the comprehensive score A is greater than the comprehensive threshold Y2, the alarm system is triggered. At this time, the system automatically adjusts the pipe network pressure through the pressure adjustment algorithm to avoid the expansion of losses. At the same time, the maintenance personnel are notified to first check whether the sensor equipment is abnormal. If there is no abnormality, it means that there is a problem with the pipe network. Then the pipe network system is checked. After the problem area is determined, the pipe network system in this area is shut down. After the water supply and drainage pipe network in the problem area stops running, the maintenance personnel will repair it. After the repair is completed, the pipe network system in this area will be restarted; Data preservation: transfer the data of the water supply and drainage network system to the storage device for storage, and mark the date and time for the data for subsequent query.

[0018] In this embodiment, real-time data of the water supply and drainage network is collected by sensor equipment and transmitted to the central data processing system through communication equipment. The central data processing system first calculates the real-time flow Q of the water supply and drainage network, and in the process of calculating the real-time flow Q, the pipe material influence coefficient K and the pipe resistance coefficient R are added, and adjusted according to actual conditions to ensure the accuracy of the flow calculation. Then, the pressure loss ΔS of the water supply and drainage network is calculated. At the same time, the fluid density M and the friction coefficient f are introduced when calculating the pressure loss ΔS, and the influence of the fluid characteristics is fully considered, so that the flow calculation can adapt to the changes of different water supply and drainage pipes and fluids, and no longer rely on stable flow conditions and uniform pipe states, thereby improving the adaptability of water supply and drainage pipe network system monitoring. Finally, the comprehensive evaluation algorithm of the pipe network is used to obtain the comprehensive score A in combination with the real-time flow Q and the pressure loss ΔS, and the water supply and drainage pipe network system is analyzed as a whole, and the results are quantified and displayed using the comprehensive score A, which can more comprehensively evaluate the operation quality of the drainage pipe network and improve the monitoring effect.

[0019] Furthermore, the alarm system includes an audible and visual alarm unit and a software notification unit. The audible and visual alarm unit is used to remind the staff on site through a voice announcer and an alarm light. The software notification unit achieves a remote alarm effect by sending alarm information to the staff's mobile phone.

[0020] Specifically, when the pressure loss ΔS is greater than the danger threshold Y1 or the comprehensive score A is less than the comprehensive threshold Y2, the alarm system is automatically triggered through program settings. The alarm system sends the specific abnormal situation to the staff's mobile phone through the software notification unit, and the alarm light in the sound and light alarm unit can also use different colors of light to remind on-site staff when used, so that the staff can quickly distinguish abnormal situations, thereby increasing the time for handling abnormal situations and avoiding the expansion of damage.

[0021] Furthermore, the WQ real-time traffic algorithm process in the data analysis step is as follows: ; Where Q is the real-time traffic; P in is the input pressure; P out is the output pressure; K is the influence coefficient of the pipeline material, ranging from 0.5 to 1; Specifically, when the water supply and drainage pipe is a plastic pipe, K is 0.9, when it is a stainless steel pipe, K is 0.75, and when it is a concrete pipe, K is 0.6. Furthermore, the inner diameter and geometric shape of the water supply and drainage pipe can also affect the real-time flow rate Q. The larger the inner diameter of the pipe, the smaller the flow resistance is usually, so the K value is lower, and the geometric shapes of the pipe elbows, valves, etc. will cause additional flow losses, further reducing the K value; R is the pipe resistance coefficient, ranging from 10 -1 Up to 10 -3 , used to reflect the effect of pipeline resistance on flow; W is the traffic weight, and its initial value is 1.

[0022] Specifically, by adding the pipeline material influence coefficient K and the pipeline resistance coefficient R in the process of calculating the real-time flow rate Q, adjustments are made according to actual conditions to reduce measurement errors and ensure the accuracy of the real-time flow rate Q calculation.

[0023] Furthermore, the pressure loss algorithm process in the data analysis step is as follows: ; Where ΔS is the pressure loss; L is the length of the pipeline; D is the pipe diameter; M is the fluid density; Fluids with high viscosity, such as oil, will produce greater friction losses than fluids with low viscosity, such as water. By introducing fluid density data, the accuracy of the pressure loss ΔS can be improved. V is the flow rate; f is the friction coefficient, which ranges from 0 to 0.5 and is used to reflect the effect of friction on pressure loss when the fluid flows in the pipeline; A dangerous threshold value Y1 of the pressure loss ΔS is set. When the pressure loss ΔS exceeds the dangerous threshold value Y1, it indicates that there is a problem with the current pipeline, and the management personnel are notified through the alarm system to check the pipeline.

[0024] When the pressure loss ΔS exceeds the dangerous threshold value Y1, it means that there are sediments, debris or other obstacles in the pipeline, which may cause the flow of fluid in the pipeline to be blocked, resulting in an abnormal increase in pressure loss; If valves, elbows, flanges and other accessories fail, such as partial closure or wear, or if there is a leak in the pipeline, it will increase the resistance of the fluid and cause an abnormal increase in pressure loss; Reduced efficiency or failure of the pump, such as impeller wear, can result in the inability to deliver fluid properly, leading to abnormal pressure loss in the downstream pipeline; In the case of a sudden increase or decrease in flow, the pressure loss in the pipeline may also change abnormally, requiring flow monitoring; By squaring the flow velocity V, the influence of the flow velocity V can be amplified, making it more sensitive to changes in the flow velocity V, highlighting the impact of changes in the flow velocity V on the pressure loss ΔS, and introducing the fluid density M and friction coefficient f when calculating the pressure loss ΔS, so that the monitoring of the water supply and drainage network can fully consider the influence of fluid characteristics. At the same time, the pipe material influence coefficient K is introduced in the calculation process of the real-time flow Q, so that the results of data analysis can adapt to the changes in different water supply and drainage pipe materials and fluid characteristics, and no longer rely on stable flow conditions and uniform pipe conditions, ensuring that the monitoring data results are more in line with actual conditions.

[0025] Furthermore, the process of the comprehensive evaluation algorithm of the pipe network in the comprehensive evaluation step is as follows: ; Where A is the comprehensive score; Q(t) is the flow rate at time t; Q(t-1) is the flow rate at time t-1; is the flow rate change rate; Z1 is the flow rate change rate influence coefficient; ΔS is the pressure loss; S max is the maximum safe pressure; is the pressure loss rate; Z2 is the pressure loss rate influence coefficient, ranging from 0 to 1, which is used to reflect the impact of pressure loss on the comprehensive score A; The comprehensive threshold Y2 of the comprehensive score A is set. When the comprehensive score A is less than the comprehensive threshold Y2, it means that there is a problem in the current water supply and drainage network. At this time, the alarm system is automatically triggered to remind the staff to deal with it. At the same time, the real-time flow Q is reduced to obtain a more accurate water flow state in the network. The flow weight W in the real-time flow algorithm is adjusted as follows: ; Where W is the traffic weight; e is a constant less than 1, indicating the maximum ratio of reducing the flow rate; Y2 is the comprehensive threshold; A is the comprehensive score; The flow weight W can be dynamically adjusted according to the comprehensive score A to obtain more accurate water supply and drainage network data.

[0026] Specifically, by combining the real-time flow rate Q and the pressure loss ΔS and changing them, the comprehensive score A is finally calculated based on the flow rate change rate. and pressure loss rate The calculation results show that the operation status of the water supply and drainage network is analyzed as a whole, and the calculation process of the real-time flow rate Q and the pressure loss ΔS introduces different influence coefficients, so that the operation quality of the water supply and drainage network can be evaluated more comprehensively, and the monitoring effect is improved. At the same time, when the comprehensive score A is less than the comprehensive threshold Y2, the flow weight W in the real-time flow algorithm changes, so that the flow weight coefficient W will be dynamically adjusted according to the comprehensive score A, further improving the adaptability of the real-time flow Q data, so that it can automatically adjust when abnormal conditions occur in the network, thereby ensuring the accuracy of the real-time flow Q data.

[0027] Furthermore, the pressure adjustment algorithm process is as follows: ; Where ΔP adj is the pressure adjustment amount; ΔS is the pressure loss; ΔS tar is the target pressure loss; Specifically, when the pressure loss ΔS is greater than the danger threshold Y1 and when the comprehensive score A is greater than the comprehensive threshold Y2, the system adjusts the pressure ΔP adj Automatically adjust the pipeline network pressure to prevent leakage due to excessive pressure and reduce losses.

[0028] Furthermore, the communication device in the pre-monitoring preparation step is a wireless communication device.

[0029] Specifically, the wireless communication device is a LoRaWAN device, which can support a communication distance of up to several kilometers. In the water supply and drainage network system, various pipelines are distributed in different locations. The LoRaWAN device can transmit the pipeline information in different locations in a timely manner, which is suitable for the water supply and drainage network with wide coverage in the city. The LoRaWAN device supports the access of a large number of terminal devices and is suitable for the network system that needs to monitor multiple sensors, such as water flow, pressure, and liquid level sensors.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote monitoring and management method for a municipal water supply and drainage network system, characterized in that: The following steps are involved: Step S1: Preparation before monitoring, determine the monitoring points of the water supply and drainage network system, install corresponding sensor equipment and communication equipment at each monitoring point to realize remote monitoring; Step S2: System construction, building a central data processing system for receiving, storing and processing data transmitted from the communication device; Step S3: Data collection, collecting data of the water supply and drainage network in real time through sensor equipment, and transmitting the collected data to the central data processing system; Step S4: Data analysis, based on the data collected by the sensor equipment, obtain the real-time flow rate Q, calculate the pressure loss amount ΔS using the pressure loss algorithm, and set the dangerous threshold value Y1 of the pressure loss amount ΔS; Step S5: Comprehensive evaluation: using the pipe network comprehensive evaluation algorithm and combining the real-time flow rate Q and the pressure loss ΔS to obtain a comprehensive score A, and setting a comprehensive threshold Y2 of the comprehensive score A. According to the danger threshold Y1 and the comprehensive threshold Y2, it is determined whether to issue an alarm through the alarm system; Step S6: Management response. When the pressure loss ΔS is greater than the danger threshold Y1, and when the comprehensive score A is greater than the comprehensive threshold Y2, the alarm system is triggered, and the system automatically adjusts the pipe network pressure through the pressure adjustment algorithm, and notifies the maintenance personnel to first check whether the sensor equipment is abnormal. If there is no abnormality, it means that there is a problem with the pipe network. Then the pipe network system is checked. After the problem area is determined, the pipe network system in this area is shut down. After the water supply and drainage pipe network in the problem area stops running, the maintenance personnel repair it. After the repair is completed, the pipe network system in this area is restarted; Step S7: Data preservation, transferring the data of the water supply and drainage network system to a storage device for storage, and marking the date and time for the data.

2. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 2 is characterized in that: The pressure adjustment algorithm process is as follows: ； Where ΔP adj is the pressure adjustment amount; ΔS is the pressure loss; ΔS tar is the target pressure loss; When the pressure loss ΔS is greater than the danger threshold Y1, and when the comprehensive score A is greater than the comprehensive threshold Y2, the system adjusts the pressure ΔP adj Automatically adjust the pipe network pressure.

3. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 2 is characterized in that: The alarm system includes an audible and visual alarm unit and a software notification unit. The audible and visual alarm unit is used to remind the staff on site through a voice announcer and an alarm light, and the software notification unit realizes remote alarm by sending alarm information to the staff's mobile phone.

4. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 3 is characterized in that: The real-time traffic algorithm process in the data analysis step is as follows: ； Where Q is the real-time traffic; P in is the input pressure; P out is the output pressure; K is the influence coefficient of the pipeline material, ranging from 0.5 to 1; R is the pipe resistance coefficient, ranging from 10 -1 Up to 10 -3 , used to reflect the effect of pipeline resistance on flow; W is the traffic weight, and its initial value is 1.

5. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 1, characterized in that: The pressure loss algorithm process in the data analysis step is as follows: ； Where ΔS is the pressure loss; L is the length of the pipeline; D is the pipe diameter; M is the fluid density; V is the flow rate; f is the friction coefficient, which ranges from 0 to 0.5 and is used to reflect the effect of friction on pressure loss when the fluid flows in the pipeline; A dangerous threshold value Y1 of the pressure loss ΔS is set. When the pressure loss ΔS exceeds the dangerous threshold value Y1, it indicates that there is a problem with the current pipeline. The management personnel are notified through the alarm system to check the pipeline. The flow velocity V is squared to amplify the influence of the flow velocity V, making it more sensitive to changes in the flow velocity V, highlighting the influence of changes in the flow velocity V on the pressure loss ΔS.

6. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 5, characterized in that: The process of the comprehensive evaluation algorithm of the pipeline network in the comprehensive evaluation step is as follows: ； Where A is the comprehensive score; Q(t) is the flow rate at time t; Q(t-1) is the flow rate at time t-1; is the flow rate change rate; Z1 is the flow rate change rate influence coefficient; ΔS is the pressure loss; S max is the maximum safe pressure; is the pressure loss rate; Z2 is the pressure loss rate influence coefficient, ranging from 0 to 1, which is used to reflect the impact of pressure loss on the comprehensive score; Set the comprehensive threshold Y2 of the comprehensive score A. When the comprehensive score A is less than the comprehensive threshold Y2, it means that there is a problem with the current water supply and drainage network. At this time, reduce the real-time flow Q to obtain a more accurate water flow state in the network, and adjust the flow weight W in the real-time flow algorithm. Specifically: ； Where W is the traffic weight; e is a constant less than 1, indicating the maximum ratio of reducing the flow rate; Y2 is the comprehensive threshold; A is the comprehensive score; The flow weight W is dynamically adjusted according to the comprehensive score A to obtain more accurate data of the water supply and drainage network.

7. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 6, characterized in that: In the data collection step, the collected data of the water supply and drainage network are preprocessed, and the preprocessing includes cleaning, verification and formatting processing to eliminate erroneous data, abnormal values ​​and redundant information.

8. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 1, characterized in that: The communication device in the pre-monitoring preparation step is a wireless communication device.

9. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 1, characterized in that: In the pre-monitoring preparation step, after the sensor equipment is installed, the sensor equipment is regularly maintained.

10. The method for remote monitoring and management of a municipal water supply and drainage network system according to claim 1, characterized in that: The central data processing system includes a server, a software system, an alarm system and a storage device.

Images