A rural pipe network leakage active control system based on DMA partition dynamic optimization

Abstract

This invention relates to the field of process control and discloses an active control system for rural pipe network leakage based on DMA (Distributed Dynamic Detection and Control) zoning dynamic optimization. The system includes: establishing hydraulic transmission relationships between nodes based on pipe segment connections; dividing disturbance influence areas according to changes in response at different nodes; generating hydraulic disturbance parameters; reading the hydraulic disturbance parameters and calculating the degree of disturbance correlation between different metering areas; establishing a correspondence between changes in flow loss and changes in pressure response; determining the location of abnormal pipe segments and leakage status parameters based on parameter change relationships; calculating pressure regulating nodes and regulation amounts; controlling pressure reducing valves, regulating valves, and pump sets to change operating parameters; updating pressure control parameters based on feedback data; analyzing the correlation between zoning change parameters and pressure response parameters under different water supply conditions; and updating DMA boundary adjustment conditions, abnormal state judgment parameters, and pressure regulation parameters. This invention has the advantage of improving the timeliness of detecting minor leaks.

Description

Technical Field

[0001] This invention relates to the field of process control, specifically to an active control system for leakage in rural pipeline networks based on DMA-based dynamic optimization of partitioning. Background Technology

[0002] With the expansion of rural water supply networks, existing technologies are increasingly adopting the DMA (Diverterless Monitoring) method to monitor network flow and pressure, and to analyze and control leakage based on zoning metering results. However, rural water supply scenarios involve wide network coverage and complex water usage types, making fixed DMA zoning methods difficult to adapt to actual operational changes. For example, in mountainous villages, residential water use, farmland irrigation, and aquaculture water use exhibit significant time-of-day variations. When irrigation areas experience concentrated water intake or when residential water use decreases at night, network pressure and flow distribution change, and flow changes caused by minor local leaks can be easily masked by normal water usage fluctuations. Especially in rural networks with long-distance water transmission and significant terrain elevation differences, some older pipe sections may experience intermittent leaks. During the day, when water flow is high, leakage characteristics are not obvious, but at night, under low flow conditions, pressure changes in adjacent areas can affect the leakage, making it difficult for fixed DMA to accurately locate the affected areas. Existing control methods typically adjust based on flow differences or pressure thresholds within fixed zones, failing to adjust zoning ranges and pressure control strategies according to the real-time status of the network. This can easily lead to excessively high local pressure exacerbating leakage or insufficient pressure at the end of the pipeline.

[0003] Therefore, it is necessary to design a rural pipeline network leakage active control system based on DMA partition dynamic optimization to improve the timeliness of detecting minor leakage. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a proactive control system for rural pipeline network leakage based on DMA partitioning dynamic optimization, which has the advantage of improving the timeliness of detecting minor leakage and solves the problems mentioned in the background technology.

[0005] To achieve the aforementioned goal of improving the timeliness of detecting minute leaks, the present invention provides the following technical solution:

[0006] A rural pipeline leakage active control system based on DMA partitioning dynamic optimization, characterized in that it includes:

[0007] Hydraulic analysis module: Collects operational data from flow metering nodes, pressure detection nodes, and valve control nodes in the water supply network; establishes hydraulic transmission relationships between nodes based on pipe segment connections; extracts node pressure changes, pressure recovery times, and flow difference parameters before and after abnormal flow changes; divides disturbance impact areas according to changes in response at different nodes; and generates hydraulic disturbance parameters.

[0008] DMA Adjustment Module: Reads hydraulic disturbance parameters, associates existing DMA metering nodes, pipe segment connection relationships and regional flow exchange data, calculates the degree of disturbance correlation between different metering areas, and when the same disturbance affects multiple DMA metering areas, filters the flow metering nodes and control valve nodes located at the boundary of the areas, and recombines the metering range according to the hydraulic transmission relationship between the nodes to form dynamic DMA partition parameters.

[0009] Leakage Analysis Module: Acquires inlet flow, outlet flow, and pressure detection data within the dynamic DMA zone, establishes the correspondence between flow loss changes and pressure response changes, extracts nighttime flow difference, pressure change rate, and recovery time parameters within the region, and determines the location of abnormal pipe sections and leakage status parameters based on parameter change relationships;

[0010] Pressure regulation module: Reads pipe section pressure data, valve opening data and water supply path information corresponding to leakage status parameters, calculates pressure regulation nodes and regulation amount, controls pressure reducing valve, regulating valve and pump group to change operating parameters, collects pressure change, flow change and valve response during regulation process, and updates pressure control parameters based on feedback data;

[0011] Control parameter module: Saves DMA zoning adjustment records, leakage status parameters and pressure regulation data, analyzes the correlation between zoning change parameters and pressure response parameters under different water supply conditions, and updates DMA boundary adjustment conditions, abnormal state judgment parameters and pressure regulation parameters.

[0012] Compared with existing technologies, this invention provides an active control system for rural pipeline network leakage based on DMA partitioning dynamic optimization, which has the following beneficial effects:

[0013] This invention collects the operating status of flow metering nodes, pressure detection nodes, and valve control nodes in rural water supply networks, establishes hydraulic transmission relationships between nodes based on pipe segment connections, and delineates disturbance-affected areas using pressure response differences, flow change characteristics, and recovery processes during abnormal flow changes. This transforms leakage anomaly identification from fixed-area detection to a dynamic analysis method that changes with actual hydraulic conditions. By matching the hydraulic disturbance area with the existing DMA (Digital Disturbance Management) zone boundaries, when the disturbance-affected area spans multiple metering zones, the metering range is recombined based on the flow metering nodes, control valve nodes, and node hydraulic transmission relationships at the zone boundaries. This allows the DMA zone boundaries to adapt to the actual hydraulic changes in rural water supply networks caused by changes in water supply load, differences in network structure, and the propagation of abnormal disturbances, improving the accuracy of area identification under low-flow leakage conditions.

[0014] By analyzing the correlation between inlet flow, outlet flow, and pressure changes within a dynamic DMA zone, and combining the flow differences, pressure change rates, and recovery times during low-water-use periods at night, the location of abnormal pipe sections is determined. This reduces the problem of leakage signals being averaged due to the excessively large fixed zone range in traditional methods. By dynamically calculating pressure regulation nodes and adjustment amounts based on leakage status, pressure reducing valves, regulating valves, and pump sets are controlled to make targeted pressure adjustments. Furthermore, the control parameters are corrected using pressure feedback, flow changes, and equipment response results during the adjustment process, achieving coordinated control between water supply pressure and leakage status.

[0015] By utilizing historical DMA adjustment records, leakage status parameters, and pressure control data to update boundary adjustment conditions, anomaly judgment parameters, and pressure regulation parameters, the system can adapt to seasonal water usage changes, water supply load fluctuations, and operational differences caused by network aging in rural water supply networks. This improves the timeliness of detecting minor leaks, reduces ineffective water supply losses, and enhances the operational stability and proactive leakage control capabilities of rural water supply networks. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of the present invention;

[0017] Figure 2 This is a schematic diagram of the method of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1: Please refer to Figure 1 An active control system for rural pipeline leakage based on DMA partitioning dynamic optimization, as described in this embodiment of the invention, includes:

[0020] Hydraulic analysis module: Collects operational data from flow metering nodes, pressure detection nodes, and valve control nodes in the water supply network; establishes hydraulic transmission relationships between nodes based on pipe segment connections; extracts node pressure changes, pressure recovery times, and flow difference parameters before and after abnormal flow changes; divides disturbance impact areas according to changes in response at different nodes; and generates hydraulic disturbance parameters.

[0021] The process of establishing the hydraulic transfer relationship between nodes based on the pipe segment connection relationship in the hydraulic analysis module is as follows:

[0022] Flow acquisition units and pressure detection units are installed at the main pipe nodes, branch pipe connection nodes, and terminal water supply nodes of the water supply network. These units simultaneously read the operating status data of regulating valves, pressure reducing valves, and booster pump sets, acquiring the inlet flow, outlet flow, node pressure, and valve opening changes at each node during different water supply cycles. Flow acquisition units and pressure detection units are also deployed at the water source access points, main pipe distribution nodes, branch pipe connection nodes, and user terminal nodes of the water supply network. The flow acquisition units are installed at the pipe inlet and outlet positions to collect the water flow rate passing through the pipe section per unit time. The pressure detection units are installed at node connection positions to acquire the static pressure value of the node and the pressure change process during water supply. Simultaneously, equipment operating parameters, including the current valve opening, valve adjustment time, pump operating frequency, and start / stop status, are collected at locations where regulating valves, pressure reducing valves, and booster pump sets are installed. Each data acquisition device uses a unified time reference for synchronous sampling, and associates the node flow, node pressure and equipment status at the same sampling time to form a node operation data record; based on the changes in residential water use, agricultural irrigation water use and centralized water supply periods during rural water supply, the collected data is divided according to the water supply cycle to obtain the inlet flow, outlet flow, pressure changes and control equipment action information of each node under different water supply conditions.

[0023] The process involves reading pipe segment connection relationships, pipe diameter parameters, pipe segment lengths, and node spatial locations from the pipeline network design data. Flow metering nodes, pressure detection nodes, and valve control nodes are then associated according to the actual water supply path to establish water transfer relationships and pressure influence relationships between nodes. Additionally, the process involves reading water supply network design drawings, pipeline survey data, and equipment installation records to obtain the starting node, ending node, pipe diameter, pipe segment length, laying elevation, and node spatial coordinates for each pipe segment. Based on the actual water supply direction, the pipeline network nodes are numbered, and the flow metering nodes, pressure detection nodes, and valve control nodes are matched with their corresponding pipe segments to determine the connection relationships between each node. For adjacent nodes in the same water supply path, upstream and downstream nodes are determined according to the pipe connection direction, and the sequence of pipe segments through which water flows and the water supply relationship between nodes are recorded. For multi-level branches, ring water supply or backup connecting pipelines in rural pipe networks, node association relationships under different water supply paths are established respectively. Combined with node flow change and pressure change data, the water volume impact of upstream node flow change on downstream node and the pressure change propagation relationship are determined, forming the water volume transmission relationship and pressure impact relationship between nodes.

[0024] Based on the direction of flow rate change, the magnitude of pressure change, and the valve operation status between adjacent nodes, the influence range of different pipe sections on upstream and downstream nodes is determined. The pressure transmission direction, flow rate change relationship, and the range of control node action between each node are recorded to generate node hydraulic transmission relationship parameters. Based on the established node water transmission relationship and pressure influence relationship, the direction of flow rate change, the magnitude of pressure change, and the corresponding time difference of adjacent nodes in the continuous water supply cycle are read to analyze the range of response of upstream and downstream nodes when a certain node experiences a flow rate change or pressure change. For pipe sections with valve regulation or pump control, the equipment operation time is matched with the pressure and flow rate change time of adjacent nodes to determine the influence area of ​​the control equipment on different nodes, avoiding the misinterpretation of changes caused by equipment regulation as changes in the hydraulic transmission of the pipe network itself. Further, based on the order of node response, direction of flow change, and pressure propagation path, upstream and downstream nodes affected by the same pipe section are associated, and the pressure transmission direction, flow change relationship, and control node range between each node are recorded. The node number, connecting pipe section, flow transmission direction, pressure influence range, and control equipment relationship are combined to generate node hydraulic transmission relationship parameters, which are used for subsequent hydraulic disturbance area division and DMA zoning adjustment.

[0025] The process of generating hydraulic disturbance parameters in the hydraulic analysis module is as follows:

[0026] The system acquires flow change data for each node within a continuous water supply cycle, filters out abnormal flow change moments that deviate from the normal water supply range, and reads the pressure detection data of the corresponding nodes before and after the abnormal change. It also reads the continuous operation data of each flow metering node stored in the hydraulic analysis module, and obtains the inlet flow, outlet flow, and flow change trend of each node in different water supply cycles according to the water supply time sequence. Based on the flow change range under historical normal water supply conditions, it compares and analyzes the flow data in the current cycle, filtering out flow abrupt change points that exceed the normal range. For the filtered abnormal flow change moments, it retrieves the pressure sampling data of each pressure detection node within the corresponding time period, obtaining the node pressure values ​​before, during, and after the abnormality, and establishing a correspondence between flow abnormality events and pressure change data according to the node number, forming a node pressure response record corresponding to the abnormal flow change.

[0027] The process involves calculating the pressure drop magnitude, pressure recovery duration, and flow difference changes between adjacent nodes during abnormal flow rate changes. The propagation path of the abnormal disturbance is determined based on the chronological order of node response times. Based on the pressure response records corresponding to the abnormal flow rate changes, the pressure drop at each pressure detection node during the abnormal occurrence phase is calculated, and the duration required for pressure to recover from the abnormal state to a stable state is recorded. Simultaneously, inlet and outlet flow rate changes between adjacent nodes are read, and the flow difference changes between different nodes during the abnormal period are calculated. The node response order is sorted according to the chronological order of the abnormal flow rate change occurrence time and the pressure response time of each node, determining the direction of abnormal disturbance propagation from the starting node to downstream nodes. When multiple nodes experience pressure changes simultaneously, the main propagation path of the abnormal disturbance is determined by combining the pipe segment connection relationships between nodes and the direction of flow change, resulting in a disturbance propagation relationship that includes the starting node, response nodes, and propagation order.

[0028] Based on the differences in pressure response, flow change direction, and recovery time among different nodes, nodes affected by the same abnormal change are divided into regions. The node numbers, response parameters, and propagation relationships within each region are recorded to generate hydraulic disturbance parameters. The pressure drop amplitude, pressure recovery time, and flow change direction of nodes along the abnormal disturbance propagation path are read, and adjacent nodes with similar response trends are correlated. When multiple nodes exhibit similar pressure change amplitudes, response times, and recovery processes during the same abnormal flow change, these nodes are assigned to the same disturbance influence region. For different disturbance regions, the node numbers, propagation directions between nodes, pressure response amplitudes, flow changes, and recovery time differences within each region are recorded, and the disturbance influence boundary is determined by combining the node hydraulic transmission relationship parameters. The disturbance influence region range, node response characteristics, propagation path relationships, and abnormal change parameters are combined to generate hydraulic disturbance parameters. These parameters characterize the range of hydraulic state changes and node response relationships caused by abnormal flow changes in the water supply network.

[0029] DMA Adjustment Module: Reads hydraulic disturbance parameters, associates existing DMA metering nodes, pipe segment connection relationships and regional flow exchange data, calculates the degree of disturbance correlation between different metering areas, and when the same disturbance affects multiple DMA metering areas, it filters the flow metering nodes and control valve nodes located at the boundary of the areas, and recombines the metering range according to the hydraulic transmission relationship between the nodes to form dynamic DMA partition parameters.

[0030] The process of calculating the degree of disturbance correlation between different metrology regions in the DMA adjustment module is as follows:

[0031] The system acquires the inlet metering nodes, outlet metering nodes, and internal pipe segment connections corresponding to the current DMA partition. It then matches the node response ranges in the hydraulic disturbance parameters with the existing DMA boundaries. The system reads the DMA partition information already defined in the current rural water supply network, acquiring the inlet metering nodes, outlet metering nodes, internal pipe segment connections, and boundary control valve positions for each DMA region. Simultaneously, it calls the hydraulic disturbance parameters generated by the hydraulic analysis module to extract the node numbers, node response ranges, and disturbance propagation paths that generate pressure responses during abnormal disturbances. Based on the node spatial locations and pipe segment connections, it matches the disturbance response nodes with the existing DMA region boundaries to determine whether the nodes affected by abnormal disturbances are located within a single DMA region or span multiple DMA regions. It records the number of disturbance nodes contained in each DMA region, the boundary intersection locations, and the affected pipe segment ranges, forming a positional correspondence between DMA regions and hydraulic disturbance ranges.

[0032] The system reads flow exchange data between adjacent DMA regions, analyzes the synchronicity of inlet flow, outlet flow, and pressure changes in different regions during abnormal disturbances, and determines the disturbance transmission relationship between each metering region. Based on the existing DMA partitioning structure, it reads inlet flow, outlet flow, and pressure detection data of connecting pipe sections between adjacent metering regions to obtain the water exchange process between different regions. During the hydraulic disturbance period, it records the changes in inlet flow, outlet flow, and regional pressure in adjacent DMA regions, and analyzes the corresponding change times for each region. When an abnormal flow change occurs in a DMA region, it detects whether adjacent regions experience pressure drop, flow change, or recovery within the corresponding time range. By comparing the response time difference, change amplitude, and recovery trend between different regions, it determines the direction and impact of the abnormal disturbance transmission from one DMA region to another, generating the disturbance transmission relationship between regions.

[0033] Regional disturbance correlation parameters are calculated based on the number of node responses, pressure change consistency, and flow change correlation within different metering areas. The correlation relationships between different DMA areas are determined according to the magnitude of these parameters. The number of disturbed nodes, node pressure response data, regional flow change data, and disturbance propagation relationships between adjacent areas are obtained for each DMA area. The response characteristics of different DMA areas during the same abnormal disturbance are comprehensively analyzed. The number of nodes experiencing pressure changes in each area is counted, and the consistency of pressure change directions within the area is calculated. Simultaneously, considering the trends in inlet and outlet flow rates and water exchange between areas, the correlation degree of responses of different DMA areas to the same disturbance event is determined. Regional disturbance correlation parameters are generated based on the number of node responses, pressure change consistency, and flow change correlation results. The correlation relationships between DMA areas are sorted according to the parameter magnitude, and combinations of DMA areas with high correlation, their corresponding pipe segment connection locations, and disturbance propagation directions are recorded.

[0034] The process of generating dynamic DMA partition parameters in the DMA adjustment module is as follows:

[0035] The system reads the node range corresponding to the disturbance-affected area and the existing DMA boundary location, comparing the two to include the number of nodes, pipe segment connection range, and flow exchange relationship. It then calls the hydraulic disturbance parameters generated by the hydraulic analysis module to obtain the affected node number, node response range, disturbance propagation path, and affected pipe segment information corresponding to the current abnormal disturbance. Simultaneously, it reads the existing DMA partition data to obtain the inlet metering node, outlet metering node, boundary control valve location, and internal pipe segment connection relationship for each DMA region. The system matches the node locations within the disturbance-affected area with the existing DMA boundary, counts the number of nodes affected by the disturbance in different DMA regions, and compares the pipe segment coverage, node overlap, and flow exchange between the disturbance area and the DMA region. Based on the comparison results, it determines whether the current DMA boundary can cover the actual propagation range of the abnormal disturbance and records the location of areas with boundary deviation and their corresponding node relationships.

[0036] When the same disturbance affects multiple DMA metering areas, flow metering nodes and control valve nodes located at the boundaries of these areas are selected, and the metering range is recombined based on the hydraulic transmission relationship between the nodes. When multiple DMA area nodes are detected within the same hydraulic disturbance area, the flow metering nodes, pressure detection nodes, and valve control nodes at the boundaries of each DMA area are read, and boundary nodes that reflect the water exchange relationship between areas are selected. Based on the hydraulic transmission relationship parameters of the nodes, the flow transmission direction, pressure influence range, and control valve range on both sides of the boundary node are analyzed to determine the main connecting nodes in the disturbance propagation path. According to the coverage relationship of the disturbance influence range, nodes with the same hydraulic response characteristics and direct water supply connections are recombined, and the original DMA metering range is adjusted so that the new metering area boundary matches the abnormal disturbance propagation path. During the adjustment process, the original metering node acquisition relationship is retained, and the flow metering nodes and control valve nodes involved in the newly added area boundary are re-associated.

[0037] Adjust the DMA inlet nodes, outlet nodes, and boundary control nodes according to the recombined metering node relationships, and record the adjusted area number, node composition, boundary location, and corresponding flow detection relationship to form dynamic DMA partitioning parameters. Based on the recombined node relationships, redetermine the inlet metering nodes and outlet metering nodes corresponding to the dynamic DMA area. For nodes in the original DMA area that are no longer within the current disturbance influence range, disconnect them from the original metering area. For newly added nodes to the dynamic area, establish flow detection associations with the inlet and outlet nodes. Simultaneously, read the control valve status at the boundary location to determine the boundary control nodes used for area isolation and pressure regulation, and record the valve number, pipe segment location, and regulation range corresponding to the control nodes. Combine the adjusted DMA area number, included node information, boundary control location, inlet and outlet flow detection relationship, and inter-area connection relationship to generate dynamic DMA partitioning parameters.

[0038] Leakage Analysis Module: Acquires inlet flow, outlet flow, and pressure detection data within the dynamic DMA zone, establishes the correspondence between flow loss changes and pressure response changes, extracts nighttime flow difference, pressure change rate, and recovery time parameters within the region, and determines the location of abnormal pipe sections and leakage status parameters based on parameter change relationships.

[0039] The process of establishing the correspondence between changes in flow loss and changes in pressure response in the leakage analysis module is as follows:

[0040] The system reads the inlet metering data, outlet metering data, and regional pressure detection data corresponding to the dynamic DMA partition parameters, and establishes a regional flow change record according to the water supply time sequence. It then calls the dynamic DMA partition parameters generated by the DMA adjustment module to obtain the inlet metering node, outlet metering node, and regional internal pressure detection node corresponding to the current dynamic partition. The system reads the inlet flow, outlet flow, and node pressure data collected by each metering node during the continuous water supply cycle and sorts them according to a unified time base. For data changes under different water supply conditions, it distinguishes between data from peak residential water consumption periods, low-flow nighttime periods, and centralized water supply periods, establishing inlet flow change records, outlet flow change records, and pressure change records within the dynamic DMA area. Simultaneously, it correlates the valve status of the regional boundary control nodes, eliminating non-leakage status changes caused by valve adjustments and pump start-up / shutdown, forming regional flow change data reflecting the actual pipeline network operation status.

[0041] The process involves calculating the difference between inlet and outlet flow rates within a dynamic DMA zone to obtain changes in flow loss under different pressure conditions. Based on the flow data from inlet and outlet metering nodes within the dynamic DMA zone, the difference between the regional water supply input and output is calculated at the same time point to obtain the regional flow loss over different time periods. Pressure data from regional pressure monitoring nodes within the corresponding time period is read, and the flow loss is correlated with the node pressure status. For the flow difference changes under different pressure levels, the flow loss changes during pressure increases, decreases, and recovery phases are recorded to analyze the impact of different pressure states on regional flow loss. Simultaneously, considering the pipe connection relationships within the dynamic DMA zone, the range of pressure monitoring nodes corresponding to flow loss changes is determined, forming a data record that includes time, flow difference, and pressure status.

[0042] By analyzing the pressure change process of nodes in the associated region, the correlation between changes in flow loss and pressure drop / recovery processes is established, thus creating a data relationship between flow loss changes and pressure response changes. Pressure change data from each pressure detection node within the dynamic DMA region during abnormal flow changes are read, extracting the pressure drop start time, minimum pressure value, pressure recovery time, and pressure change amplitude during recovery. These pressure response parameters are matched with the flow loss calculated within the corresponding time period to analyze the correlation between regional pressure changes during flow loss increase, maintenance, and recovery. When a flow loss change is accompanied by a pressure drop or recovery process at a specific node, the corresponding node location, pressure response amplitude, and flow loss change are recorded, forming a correlation between flow loss state and pressure response state. The flow difference parameters, pressure response parameters, and node location relationships formed in different water supply cycles are combined to establish a data relationship between flow loss changes and pressure response changes.

[0043] The process of determining the location of abnormal pipe sections and leakage status parameters based on parameter change relationships in the leakage analysis module is as follows:

[0044] The system acquires inlet flow, outlet flow, and node pressure data during the nighttime low-water-use phase within a dynamic DMA partition, and filters regional flow change records under continuous low-flow operation. It then calls the dynamic DMA partition parameters to read the operating data of the inlet metering nodes, outlet metering nodes, and pressure detection nodes within the corresponding area, obtaining inlet flow, outlet flow, and node pressure change information over a continuous period during the nighttime low-water-use phase. Based on historical nighttime basic water supply data under normal operating conditions, it compares and analyzes the regional flow changes within the current cycle, filtering out time periods with continuous flow changes even under low user water-use interference. For the filtered continuous low-flow operation records, it further correlates the status of regional boundary control valves and the operating status of water supply equipment, eliminating flow changes caused by valve adjustments, pump switching, and planned water supply adjustments, retaining regional flow anomaly records caused by changes in the internal state of the pipe network, and forming regional flow change data corresponding to the nighttime low-water-use phase.

[0045] The difference between the nighttime baseline flow rate and the actual detected flow rate is calculated, and the node pressure change rate, pressure recovery time, and flow difference between adjacent pipe sections are extracted within the corresponding time period. Based on the filtered nighttime low-flow operation records, the baseline flow rate value of the dynamic DMA area under normal conditions for the corresponding time period is read and compared with the currently detected actual flow rate value to calculate the flow difference within different time periods. Simultaneously, the pressure change process of each pressure detection node during the abnormal time period is acquired, and the node pressure drop magnitude, pressure change rate per unit time, and time required for pressure to recover to a stable state are calculated. Further, the flow acquisition data corresponding to adjacent pipe sections are read, and the flow change differences between different pipe sections within the abnormal area are compared to determine the main direction of flow loss. The nighttime flow difference, pressure change rate, pressure recovery time, and flow difference between adjacent pipe sections are correlated to form a parameter record reflecting abnormal water volume changes within the area.

[0046] By combining the abnormal flow rate change nodes, pressure response nodes, and pipe connection paths, the location of the abnormal pipe segment is determined, and the abnormal pipe segment number, flow loss, pressure response characteristics, and duration are recorded to generate leakage status parameters. The metering nodes, pressure response nodes, and pipe connection relationships within the dynamic DMA area corresponding to the abnormal flow rate change are read, and the propagation path of the abnormal flow rate change is determined based on the node hydraulic transmission relationship parameters. The locations of nodes exhibiting flow loss changes are matched with the locations of nodes generating pressure responses, and the transmission process of the abnormal change along the pipe segment direction is analyzed. Pipe segment locations that simultaneously meet the criteria of concentrated flow loss, significant pressure change, and consistent response path are selected as abnormal pipe segments. For the identified abnormal pipe segments, the corresponding pipe segment number, upstream and downstream node information, flow loss, pressure drop magnitude, pressure recovery time, and abnormal duration are recorded. Combined with the water supply status at the time of the abnormality, leakage status parameters are generated, including the location of the abnormal pipe segment, flow loss characteristics, pressure response characteristics, and duration of change, for use by the subsequent pressure regulation module to determine control nodes and regulation parameters.

[0047] Pressure regulation module: Reads pipe section pressure data, valve opening data and water supply path information corresponding to leakage status parameters, calculates pressure regulation nodes and regulation amounts, controls pressure reducing valves, regulating valves and pump sets to change operating parameters, collects pressure changes, flow changes and valve response amounts during the regulation process, and updates pressure control parameters based on feedback data.

[0048] The process of calculating the pressure regulation node and regulation amount in the pressure regulation module is as follows:

[0049] The system acquires the pressure values ​​of upstream and downstream nodes of the corresponding pipe segment, the current valve opening, and the control node information in the water supply path for the leakage status parameters. It then calls the leakage status parameters generated by the leakage analysis module to read the pipe segment number, upstream and downstream node positions, flow loss, and pressure response characteristics corresponding to the abnormal pipe segment. Based on the hydraulic transmission relationship parameters associated with the abnormal pipe segment location, it acquires real-time pressure detection data for the upstream, downstream, and adjacent nodes of that pipe segment. Simultaneously, it reads the operating status data of regulating valves, pressure reducing valves, and booster pumps involved in the water supply path, acquiring the current valve opening, allowable adjustment range, equipment response time, and control direction for each control node. Based on the water supply path where the abnormal pipe segment is located, it associates the pressure detection nodes with the control nodes to form basic regulation data that includes the pressure status of the abnormal pipe segment, the status of the control equipment, and the relationship of the water supply path.

[0050] The study analyzes the distance relationship, pressure transmission direction, and valve adjustment range between the leaking pipe section and the pressure control node to screen for adjustment nodes capable of changing the pressure state of the target pipe section. Based on the upstream and downstream node relationships corresponding to the leaking pipe section, the study reads the positional relationship, pipe connection direction, and pressure influence range of each pressure control node in the water supply path. According to the node hydraulic transmission relationship parameters, the study analyzes the direction and range of pressure changes transmitted to the target pipe section after the action of different control nodes. For control nodes that are close to the target pipe section and located in the same pressure transmission path, the study further reads the adjustment range and historical pressure response data of the corresponding valves to determine whether the valve opening change can cover the pressure adjustment needs of the target pipe section. In cases where multiple adjustable nodes exist, the study compares the pressure influence range, response time, and adjustment capacity of each control node on the target pipe section to screen for adjustment nodes capable of changing the pressure state of the target pipe section and determines the adjustment relationship between the corresponding control node and the target pipe section.

[0051] Based on the difference between the target pressure state and the current pressure value, the pressure adjustment amount for the corresponding control node is calculated, and the pressure regulation parameters are determined in conjunction with the valve opening change range. The current pressure value of the leaking pipe section and the target pressure range determined based on the water supply status are read, and the actual pressure state is compared with the target pressure state to calculate the difference between the current and target pressures. Based on the pressure regulation node and the influence of the corresponding valve opening change on the pipe section pressure, the valve action direction and adjustment range that need to be adjusted are determined. For areas controlled by pressure reducing valves, the valve opening increase or decrease is determined based on the pressure difference. For areas regulated by booster pump sets, the pump set operating parameter adjustment range is determined based on the target pressure change requirements. Simultaneously, the calculated adjustment amount is constrained by the allowable opening range of the control equipment, pressure change restrictions, and water supply path stability requirements, generating pressure regulation parameters that include the regulation node number, pressure adjustment direction, valve opening change amount, and equipment operating parameters.

[0052] The process of updating the pressure control parameters based on feedback data in the pressure regulation module is as follows:

[0053] The system reads pressure regulation parameters and controls the corresponding pressure reducing valves, regulating valves, and pump sets to adjust opening, adjust pressure setpoints, or switch operating states. It also reads pressure regulation parameters generated by the pressure regulation module to obtain the corresponding control node number, adjustment direction, valve opening adjustment amount, and pump set operating parameters. Based on the water supply path relationship between the control node and the target leaking pipe section, the regulation parameters are sent to the corresponding execution equipment. For pressure reducing valves and regulating valves installed on the pipe section, the valve opening is controlled according to the pressure regulation parameters to adjust the downstream pressure or the pipe section's water supply pressure in the set direction. For areas using booster pump sets for water supply, the pump set operating frequency is adjusted or the operating state is switched according to the target pressure requirement. During control execution, the system records equipment action time, actual opening change, and pressure setpoint change, and correlates the control commands with the execution results to form a pressure regulation execution record.

[0054] During control execution, the system collects data on pressure changes at target area nodes, flow rate changes, and actual valve responses, comparing the pressure status and flow loss changes in pipe sections before and after control. During pressure regulation, it continuously reads feedback data from pressure detection nodes within the target DMA area to obtain node pressure changes before and after regulation, the pressure recovery process, and the stable pressure status. Simultaneously, it reads inlet and outlet flow rates in the dynamic DMA area, as well as flow rate changes in abnormal pipe sections, calculating the flow loss changes before and after pressure adjustment. The system collects actual response data from pressure reducing valves, regulating valves, and pump sets, including actual valve opening, opening rate changes, and pump set operating parameter changes, comparing these with preset pressure regulation parameters to determine if the control equipment performs its actions according to the set parameters. By correlating pressure changes, flow rate changes, and equipment responses, it generates pressure control feedback data to evaluate the impact of the current regulation process on leakage conditions.

[0055] When the actual pressure change differs from the preset adjustment result, the control parameters are corrected based on the pressure response deviation, valve response speed, and flow recovery, and the pressure adjustment amount of the corresponding control node is updated. Pressure control feedback data is read, and the actual pressure change result is compared with the target pressure change range corresponding to the pressure adjustment parameters. When the actual pressure change does not reach the preset adjustment range, or the pressure recovery time exceeds the set requirement, the cause of the pressure response deviation is analyzed. Based on the current pressure deviation direction, the actual valve response speed, and the regional flow loss recovery, it is determined whether the current adjustment amount is insufficient or excessive. When the valve opening change does not cause the expected pressure change, the valve adjustment amplitude of the corresponding control node is adjusted. When the pump output change causes insufficient pressure recovery speed, the pump operating parameters are reset. The corrected control nodes, adjustment direction, valve opening change amount, and equipment operating parameters are updated to form new pressure control parameters, and the pressure feedback results of this adjustment process are saved.

[0056] Control parameter module: Saves DMA zoning adjustment records, leakage status parameters and pressure regulation data, analyzes the correlation between zoning change parameters and pressure response parameters under different water supply conditions, and updates DMA boundary adjustment conditions, abnormal state judgment parameters and pressure regulation parameters.

[0057] The process of updating the DMA boundary adjustment conditions, abnormal state judgment parameters, and pressure regulation parameters in the control parameter module is as follows:

[0058] This system saves DMA boundary adjustment records, dynamic zoning node composition, leakage status parameters, and pressure control process data for different water supply cycles, establishing a data recording relationship between water supply status and control results. It reads the dynamic zoning adjustment records generated by the DMA adjustment module to obtain the area number, inlet metering node, outlet metering node, boundary control node, and node composition relationship before and after DMA boundary changes in different water supply cycles. Simultaneously, it saves leakage status parameters generated by the leakage analysis module, including abnormal pipe section location, flow loss, pressure response characteristics, and abnormal duration, and associates them with control nodes, valve adjustments, pump operating parameters, and pressure feedback results generated during the pressure regulation module's execution. A data correspondence is established according to water supply time, water supply load, seasonal status, and control execution process. Each DMA boundary adjustment, leakage identification, and pressure regulation result is stored as an independent control record, forming a historical operating database containing water supply status, zoning changes, abnormal states, and control results.

[0059] Historical control data is categorized according to seasonal water usage variations, water supply load changes, and pipeline pressure status. The analysis examines node pressure changes, flow loss variations, and control response results under different zone adjustment conditions. DMA adjustment records and pressure control records from the historical operation database are read and categorized based on environmental changes and pipeline operation status within the water supply cycle. Specifically, water usage characteristics are divided into different time periods according to seasonal water usage variations; water supply load status is divided according to changes in regional inlet flow, outlet flow, and user water consumption; and node pressure levels are categorized into high-pressure, normal-pressure, and low-pressure operating states. For dynamic DMA adjustment records under different categories, the analysis examines node pressure changes, inlet / outlet flow differences, and leakage recovery status before and after DMA boundary changes. The pressure control response speed, flow loss reduction degree, and number of control equipment actions corresponding to different boundary adjustment methods are compared to identify parameter change patterns that maintain stable water supply and reduce abnormal flow losses, establishing a correspondence between water supply status and control effect.

[0060] Based on historical control results, boundary change conditions, abnormal state judgment parameters, and pressure regulation parameters that produce stable control effects during the zoning adjustment process are selected, and the corresponding control parameters are updated. Based on the analysis results of historical control data, the control effect evaluation results corresponding to different DMA boundary adjustment conditions are read, and parameter combinations that meet the requirements for stable water supply are selected. The judgment conditions for stable control effect include: the node pressure within the adjusted DMA area remains within the target pressure range for a continuous preset water supply cycle; the difference between the area inlet flow and outlet flow continuously decreases compared to before adjustment; the pressure response recovery time corresponding to the abnormal pipe section is shortened; and the pressure regulation equipment does not exhibit continuous repeated adjustment states. When a set of DMA boundary change conditions, abnormal state judgment parameters, or pressure regulation parameters meets the above conditions, the corresponding parameter is used as the effective control parameter, replacing the corresponding content in the original parameter; simultaneously, the area node composition, abnormal judgment range, and pressure regulation changes before and after parameter updates are recorded to form updated DMA boundary adjustment conditions, abnormal state judgment parameters, and pressure regulation parameters.

[0061] When newly added operational data does not meet the parameter update conditions, the current control parameters remain unchanged, and dynamic DMA adjustment records and pressure control data continue to accumulate. DMA adjustment records, leakage detection results, and pressure control feedback data generated within the new water supply cycle are acquired, and the newly added data is compared with the update conditions corresponding to the current control parameters. When newly added operational data does not meet the parameter update conditions, parameter replacement is not performed, and the current DMA boundary adjustment conditions, abnormal state judgment parameters, and pressure regulation parameters remain unchanged. Parameter update conditions include: the number of newly added operational data reaches the preset sample size, and there are repeated control records under the same water supply state within multiple consecutive water supply cycles; the newly added control results must meet the following requirements: the adjusted node pressure stability rate reaches the preset requirement, the flow loss change trend continues to decrease, the pressure regulation number does not exceed the set number range, and the control results have a consistent change trend under different operational cycles. When newly added data does not simultaneously meet the above conditions, the corresponding operational records continue to be stored in the historical operational database, accumulating dynamic DMA adjustment processes, leakage state changes, and pressure control feedback data. The parameter screening and update process will be re-executed after the parameter update conditions are met subsequently.

[0062] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0063] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A rural pipeline network leakage active control system based on DMA partitioning dynamic optimization, characterized in that, include: Hydraulic analysis module: Collects operational data from flow metering nodes, pressure detection nodes, and valve control nodes in the water supply network; establishes hydraulic transmission relationships between nodes based on pipe segment connections; extracts node pressure changes, pressure recovery times, and flow difference parameters before and after abnormal flow changes; divides disturbance impact areas according to changes in response at different nodes; and generates hydraulic disturbance parameters. DMA Adjustment Module: Reads hydraulic disturbance parameters, associates existing DMA metering nodes, pipe segment connection relationships and regional flow exchange data, calculates the degree of disturbance correlation between different metering areas, and when the same disturbance affects multiple DMA metering areas, filters the flow metering nodes and control valve nodes located at the boundary of the areas, and recombines the metering range according to the hydraulic transmission relationship between the nodes to form dynamic DMA partition parameters. Leakage Analysis Module: Acquires inlet flow, outlet flow, and pressure detection data within the dynamic DMA zone, establishes the correspondence between flow loss changes and pressure response changes, extracts nighttime flow difference, pressure change rate, and recovery time parameters within the region, and determines the location of abnormal pipe sections and leakage status parameters based on parameter change relationships; Pressure regulation module: Reads pipe section pressure data, valve opening data and water supply path information corresponding to leakage status parameters, calculates pressure regulation nodes and regulation amount, controls pressure reducing valve, regulating valve and pump group to change operating parameters, collects pressure change, flow change and valve response during regulation process, and updates pressure control parameters based on feedback data; Control parameter module: Saves DMA zoning adjustment records, leakage status parameters and pressure regulation data, analyzes the correlation between zoning change parameters and pressure response parameters under different water supply conditions, and updates DMA boundary adjustment conditions, abnormal state judgment parameters and pressure regulation parameters.

2. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of establishing the hydraulic transfer relationship between nodes based on the pipe segment connection relationship is as follows: Flow acquisition units and pressure detection units are set at the main pipe nodes, branch pipe connection nodes and terminal water supply nodes of the water supply network. At the same time, the operating status data of the regulating valve, pressure reducing valve and booster pump group are read to obtain the inlet flow, outlet flow, node pressure and valve opening changes of each node in different water supply cycles. Read the pipe segment connection relationship, pipe diameter parameters, pipe segment length and node spatial location in the pipeline network design data, associate the flow metering node, pressure detection node and valve control node according to the actual water supply path, and establish the water transfer relationship and pressure influence relationship between the nodes; Based on the direction of flow change, the magnitude of pressure change, and the valve operation status between adjacent nodes, the influence range of different pipe sections on upstream and downstream nodes is determined. The pressure transmission direction, flow change relationship, and control node range between each node are recorded, and node hydraulic transmission relationship parameters are generated.

3. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of generating hydraulic disturbance parameters is as follows: Acquire flow change data of each node within a continuous water supply cycle, filter out abnormal flow change moments that deviate from the normal water supply change range, and read the pressure detection data of the corresponding nodes before and after the abnormal change occurs. Calculate the pressure drop magnitude, pressure recovery duration, and flow difference changes between adjacent nodes during abnormal flow changes, and determine the propagation path of the abnormal disturbance according to the order of node response times. Based on the differences in pressure response, flow change direction, and recovery time at different nodes, nodes affected by the same abnormal change are divided into regions. The node number, response parameters, and propagation relationship within the corresponding region are recorded to generate hydraulic disturbance parameters.

4. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of calculating the degree of disturbance correlation between different measurement regions is as follows: Obtain the inlet metering node, outlet metering node, and internal pipe segment connection relationship corresponding to the current DMA partition, and match the node response range in the hydraulic disturbance parameters with the existing DMA boundary. Read the flow exchange data between adjacent DMA areas, analyze the degree of synchronization between the changes in inlet flow, outlet flow and pressure in different areas during the occurrence of abnormal disturbances, and determine the disturbance transmission relationship between each metering area; The regional disturbance correlation parameters are calculated based on the number of node responses, the consistency of pressure changes, and the correlation of flow changes in different metering areas, and the correlation between each DMA area is determined according to the magnitude of the correlation parameters.

5. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of generating dynamic DMA partition parameters is as follows: Read the node range corresponding to the area affected by the disturbance and the existing DMA boundary location, and compare the two to include the number of nodes, the range of pipe segment connections, and the traffic exchange relationship; When the same disturbance affects multiple DMA metering areas, the flow metering nodes and control valve nodes located at the boundaries of the areas are selected, and the metering range is recombined according to the hydraulic transmission relationship between the nodes. Adjust the DMA inlet node, outlet node, and boundary control node according to the reorganized metering node relationship, and record the adjusted area number, node composition, boundary position, and corresponding flow detection relationship to form dynamic DMA partition parameters.

6. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of establishing the correspondence between changes in flow loss and changes in pressure response is as follows: Read the inlet metering data, outlet metering data and regional pressure detection data corresponding to the dynamic DMA partition parameters, and establish a regional flow change record according to the water supply time sequence; Calculate the difference between inlet and outlet flow rates within the dynamic DMA partition to obtain the flow loss changes under different pressure conditions; By analyzing the pressure change process of related regional nodes, the correspondence between changes in flow loss and pressure drop and recovery processes is analyzed, and a data relationship between changes in flow loss and pressure response is established.

7. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of determining the location of abnormal pipe sections and leakage status parameters based on parameter variation relationships is as follows: Acquire inlet flow, outlet flow, and node pressure data during the nighttime low water usage phase within the dynamic DMA partition, and filter regional flow change records under continuous low flow operation conditions; Calculate the difference between the nighttime baseline flow rate and the actual detected flow rate, and extract the node pressure change rate, pressure recovery time, and flow rate difference between adjacent pipe sections within the corresponding time period; By combining the abnormal flow rate change nodes, pressure response nodes, and pipe segment connection paths, the corresponding location of the abnormal pipe segment is determined, and the abnormal pipe segment number, flow loss, pressure response characteristics, and duration are recorded to generate leakage status parameters.

8. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of calculating the pressure regulating node and regulating amount is as follows: Obtain the pressure values ​​of upstream and downstream nodes of the corresponding pipe section, the current valve opening, and the control node information in the water supply path for the leakage status parameters; Analyze the distance relationship, pressure transmission direction and valve adjustment range between the leaking pipe section and the pressure control node, and screen the adjustment node that can change the pressure state of the target pipe section; Based on the difference between the target pressure state and the current pressure value, calculate the pressure adjustment amount for the corresponding control node, and determine the pressure regulation parameters by combining the range of valve opening changes.

9. The active control system for rural pipeline leakage based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of updating pressure control parameters based on feedback data is as follows: Read the pressure regulation parameters and control the corresponding pressure reducing valve, regulating valve and pump group to perform opening adjustment, pressure setpoint adjustment or operating status switching; During the control execution process, the pressure change of the target area nodes, the flow change of the area, and the actual response of the valves are collected, and the pressure status and flow loss changes of the pipe section before and after control are compared. When the actual pressure change differs from the preset adjustment result, the control parameters are corrected based on the pressure response deviation, valve response speed, and flow recovery, and the pressure adjustment amount of the corresponding control node is updated.

10. A rural pipeline network leakage active control system based on DMA partitioning dynamic optimization according to claim 1, characterized in that, The process of updating DMA boundary adjustment conditions, abnormal state judgment parameters, and pressure regulation parameters is as follows: Save DMA boundary adjustment records, dynamic partition node composition, leakage status parameters and pressure control process data in different water supply cycles, and establish the data recording relationship between water supply status and control results; Historical control data are classified according to seasonal water usage changes, water supply load changes, and pipeline pressure status. The changes in node pressure, flow loss, and control response results under different zone adjustment conditions are analyzed. Based on historical control results, filter the boundary change conditions, abnormal state judgment parameters, and pressure regulation parameters that produce stable control effects during the zoning adjustment process, and update the corresponding control parameters. When newly added operating data does not meet the parameter update conditions, the current control parameters remain unchanged, and dynamic DMA adjustment records and pressure control data continue to accumulate.

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