Multi-valve integrated control method and system for marine water supply system

Abstract

The invention discloses a multi-valve integrated control method and system for a marine water supply system, and relates to the related field of valve control, and the method comprises the steps: carrying out the data deconstruction of a water supply pipeline, and building a topological structure diagram; performing water supply path adaptation matching according to the partitioned water supply function, and establishing a function driving control chain; a water supply demand instruction is received, partition water supply function matching is carried out, and a function driving control chain is called to carry out valve linkage control; partitioning a main branch of the called function drive control chain; and a state sensing sensor is called to execute valve position water supply data acquisition, a valve point data set is established, main and branch combined anomaly backtracking is carried out, and valve linkage control updating is carried out. The technical problems that according to existing valve control, the valve state is difficult to adjust rapidly and accurately, water supply of a water supply system is abnormal, and fault roots are difficult to position and solve rapidly are solved, and the technical effects of rapidly and accurately adapting to the valve state, reducing water supply abnormity and accurately positioning and solving the fault roots are achieved.

Description

Technical Field

[0001] This application relates to the field of valve control, and in particular to a multi-valve integrated control method and system for marine water supply systems. Background Technology

[0002] In the shipping industry, marine water supply systems are a crucial foundation for ensuring the living conditions of crew members, the operation of equipment, and the safe operation of the vessel. Their stable, reliable, and efficient operation is of paramount importance. Any abnormalities in the water supply system, such as water supply interruptions due to improper valve control, abnormal pressure, or uneven water distribution, will directly affect the normal living conditions of the crew, the performance of equipment, and may even endanger the safety of the vessel's navigation.

[0003] Currently, the industry generally adopts a traditional independent valve control mode for marine water supply system control. In this mode, each valve operates independently based on preset simple logic or manual commands, lacking a holistic consideration of the overall topology of the water supply system and a mechanism for coordinated operation between valves. When faced with complex and changing ship operating conditions and zoned water supply demands, traditional methods struggle to quickly and accurately adjust valve states to adapt to actual needs. This leads to localized water supply anomalies and makes it difficult to quickly locate and resolve the root cause of the fault. For example, when the water supply pressure in a certain area suddenly drops, traditional control methods cannot promptly determine whether it is due to valve blockage, pipeline leakage, or improper opening of other related valves. They can only conduct a step-by-step inspection, which is inefficient and can easily escalate the problem.

[0004] At present, the valve control technology used in marine water supply systems has the technical problem that it is difficult to quickly and accurately adjust the valve status to meet actual needs, which makes the water supply system prone to local water supply anomalies and makes it difficult to quickly locate and solve the root cause of the fault. Summary of the Invention

[0005] This application provides a multi-valve integrated control method and system for marine water supply systems. It employs a method that deconstructs marine water supply pipeline data to establish a topology diagram containing valve and main / branch identifiers, obtains zoned water supply functions, adapts the water supply path to the topology diagram, and establishes a functional drive control chain composed of valve combination controls. Upon receiving a water supply demand command, it matches the zoned water supply function, calls the corresponding functional drive control chain, and drives valve linkage control. The called control chain is partitioned based on the main / branch identifiers. Simultaneously, it uses state-sensing sensors to collect water supply data from the linked valve positions, forming a valve point dataset. The partitioning results and valve point dataset are used for main / branch joint anomaly backtracking, and the valve linkage control is updated based on the backtracking results. This method solves the technical problems of existing valve control systems for marine water supply systems, such as the difficulty in quickly and accurately adjusting valve states to adapt to actual needs, leading to localized water supply anomalies and difficulty in quickly locating and resolving the root cause of the fault. The method achieves the technical effect of quickly and accurately adapting valve states, reducing localized water supply anomalies, and accurately locating and resolving the root cause of faults when anomalies occur.

[0006] This application provides a multi-valve integrated control method for marine water supply systems, comprising: data deconstructing of marine water supply pipelines to establish a pipeline topology diagram, wherein the topology diagram is configured with valve identifiers and main branch identifiers; acquiring zoned water supply functions, performing water supply path adaptation and matching on the pipeline topology diagram according to the zoned water supply functions, and establishing a function-driven control chain based on the adaptation and matching results, wherein the function-driven control chain is established through combined valve control; upon receiving a water supply demand command, performing zoned water supply function matching using the water supply demand command, and calling the mapped function-driven control chain to drive the corresponding valves for valve linkage control; partitioning the main branch of the called function-driven control chain based on the main branch identifiers to establish partitioning results; calling the state sensing sensor of the linkage control valve position to perform valve position water supply data acquisition, establishing a valve point dataset, performing joint anomaly backtracking of the main branch using the partitioning results and the valve point dataset, and updating the valve linkage control using the joint anomaly backtracking results.

[0007] In a possible implementation, the joint anomaly backtracking of the main branch using the partitioning results and the valve point dataset involves the following processing: the function-driven control chain backtracks the water supply path from the end of the branch based on the main branch identifier; the water supply path backtracking result and the partitioning result are used to call the set of water supply coverage branches of the upstream main road; the control terminal executes the instruction to start identification of the water supply coverage branch set, and updates the partitioning result using the instruction to start identification result; the updated partitioning result and the valve point dataset are used to perform joint anomaly backtracking of the main branch.

[0008] In a possible implementation, the joint anomaly backtracking of the main branch using the updated partitioning results and the valve point dataset involves the following steps: reconstructing the main branch roles using the updated partitioning results, whereby the main branch roles include logical main roads, logical branches, and degraded main roads; performing linkage anomaly analysis of the valve point dataset under the function-driven control chain based on the reconstructed main branch roles; and locating the joint anomaly backtracking based on the linkage anomaly analysis.

[0009] In a possible implementation, after matching the water supply function in different zones using the water supply demand command, the mapped function-driven control chain is invoked to perform the following processing: historical water supply data is retrieved based on the water supply demand command to establish a time-series water supply chain; a stability score for the time-series water supply chain is established based on the water supply effect and water supply switching status of the time-series water supply chain; the previously used water supply chain is identified from the time-series water supply chain, and a retention score for the corresponding water supply chain is created; and the water supply chain function of the zoned water supply is adapted and matched based on the stability score and the retention score.

[0010] In a possible implementation, the water supply chain function adaptation and matching based on the stability score and the maintenance score involves the following steps: after performing sliding window processing on the water supply effect of the time-series water supply chain, a water supply performance trend assessment is performed; when the water supply performance degradation meets a preset threshold, a water supply chain switching warning is triggered, and the water supply chain function adaptation and matching is reconstructed.

[0011] In a possible implementation, after matching the water supply function in different zones using the water supply demand command, the mapped function-driven control chain is invoked, and the following processing is also performed: establishing a multi-objective optimization function, the evaluation characteristics of which include the number of valves opened, response time, flow fluctuation, and switching frequency; performing an adaptation analysis of the water supply chain based on the multi-objective optimization function to complete the matching of the water supply function in different zones.

[0012] In a possible implementation, the valve linkage control update using the joint anomaly backtracking results involves the following steps: evaluating the repair of the original path using the joint anomaly backtracking results to establish a first evaluation result; identifying the adaptation of the backup path based on the pipeline topology diagram to establish a second evaluation result; and updating the valve linkage control based on the first evaluation result and the second evaluation result.

[0013] In a possible implementation, the process of adapting and identifying backup paths based on the pipeline topology diagram, establishing a second evaluation result, and performing the following steps: calculating the path response delay of the backup path and establishing a first influencing factor; calculating the water supply stability prediction of the backup path and establishing a second influencing factor; and establishing a second evaluation result using the first influencing factor and the second influencing factor.

[0014] In a possible implementation, the following processing is performed: the state sensing sensor includes a pressure sensor, a flow sensor, a temperature sensor, and a vibration sensor.

[0015] This application also provides a multi-valve integrated control system for marine water supply systems, including: a pipeline topology diagram establishment module, used to deconstruct the marine water supply pipeline data and establish a pipeline topology diagram, wherein the topology diagram is configured with valve identifiers and main branch identifiers; a function-driven control chain establishment module, used to acquire zoned water supply functions, perform water supply path adaptation and matching based on the zoned water supply functions, and establish a function-driven control chain based on the adaptation and matching results, wherein the function-driven control chain is established through valve combination control; and a valve linkage control module, used to, upon receiving a water supply demand command, utilize... After matching the water supply function to the zone using the water supply demand command, the mapped function drive control chain is invoked to drive the corresponding valves for valve linkage control; the main branch zone module is used to zone the main branch of the invoked function drive control chain based on the main branch identifier and establish the zone result; the valve linkage control update module is used to invoke the status sensing sensor of the linkage control valve position, perform valve position water supply data collection, establish a valve point dataset, perform joint anomaly backtracking of the main branch using the zone result and the valve point dataset, and use the joint anomaly backtracking result to update the valve linkage control.

[0016] The proposed method and system for multi-valve integrated control of marine water supply systems first deconstructs the marine water supply pipeline data to establish a pipeline topology diagram. This topology diagram includes valve identifiers and main / branch identifiers. Then, it acquires the zoned water supply function and performs water supply path adaptation and matching based on the zoned water supply function. Based on the adaptation and matching results, it establishes a function-driven control chain, which is established through combined valve control. Upon receiving a water supply demand command, it uses the command to perform zoned water supply function matching and calls the mapped function-driven control chain to drive the corresponding valves for valve linkage control. Then, based on the main / branch identifiers, it partitions the main / branch sections of the called function-driven control chain, establishing partitioning results. Finally, it calls the status sensing sensors of the linked control valve positions to collect valve position water supply data, establishing a valve point dataset. It then uses the partitioning results and the valve point dataset to perform joint anomaly backtracking of the main / branch sections and uses the joint anomaly backtracking results to update the valve linkage control. It achieves the technical effect of quickly and accurately adapting to valve status, reducing local water supply anomalies, and accurately locating and resolving the root cause of the fault when water supply anomalies occur. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0018] Figure 1 This is a flowchart illustrating a multi-valve integrated control method for a marine water supply system provided in an embodiment of this application.

[0019] Figure 2 A schematic diagram of the structure of a multi-valve integrated control system for a marine water supply system provided in an embodiment of this application.

[0020] Explanation of reference numerals in the attached diagram: Pipeline topology diagram creation module 10, function-driven control chain creation module 20, valve linkage control module 30, main and branch road zoning module 40, valve linkage control update module 50. Detailed Implementation

[0021] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0024] This application provides a multi-valve integrated control method for marine water supply systems, such as... Figure 1 As shown, the method includes: Step S100: Deconstruct the marine water supply pipeline data and establish a pipeline topology diagram, which includes valve labels and main branch labels.

[0025] Specifically, sensors are installed at key locations (such as valves, branch points, and junctions) in the marine water supply pipeline. These sensors may include: pressure sensors (for measuring pressure within the pipeline), flow sensors (for measuring water velocity and flow rate), position sensors (for determining the open / closed state of valves), and temperature sensors (for monitoring water temperature). Data acquisition modules (such as industrial-grade PLCs or data acquisition cards) are used to acquire sensor data and convert it into digital signals. The sensor data is transmitted to the central control system via wired (e.g., RS485, Ethernet) or wireless (e.g., Zigbee, LoRa) communication networks. The acquired raw data undergoes preprocessing operations such as filtering and noise reduction to improve data quality. Graph theory algorithms (such as Depth-First Search (DFS) or Breadth-First Search (BFS)) are used to model the pipeline's connectivity. Based on the sensor locations and connectivity, a pipeline topology graph is generated. This topology graph can be represented as a directed or undirected graph, where nodes represent key locations (such as valves and branch points) and edges represent pipeline connections. Each valve and branch point is assigned a unique identifier (valve identifier and main branch identifier) ​​in the topology diagram. The topology diagram is then displayed graphically using drawing software (such as AutoCAD, Visio, or an industrial-grade SCADA system) and stored in the database of the central control system for querying and updating.

[0026] Step S200: Obtain the zoned water supply function, perform water supply path adaptation and matching on the pipeline topology diagram according to the zoned water supply function, and establish a function-driven control chain based on the adaptation and matching results. The function-driven control chain is established through the combined control of valves.

[0027] Specifically, the central control system pre-defines zoned water supply functionality. For example, the ship's hull is divided into multiple water supply zones (such as living quarters, deck areas, and engine room areas), and the water supply requirements and priorities for each zone are configured within the system. A path planning algorithm (such as Dijkstra's algorithm or A* algorithm) is used to find the optimal water supply path in the topology graph that satisfies the zoned water supply function. Based on the water supply path, the valve combinations that need to be controlled are determined. Based on the adaptation and matching results, a function-driven control chain is generated. This chain defines the valve opening and closing sequence and linkage logic. The function-driven control chain is stored in the central control system for subsequent calls.

[0028] For example, in a central control system, a zoned water supply function is defined, prioritizing water supply to the living area, with the deck area receiving water only after the living area's water supply is normalized. Dijkstra's algorithm is used to calculate the shortest path from the water source to each zone in the topology graph. Based on the path planning results, a function-driven control chain is generated, for example, opening the main valve first, followed by opening the branch valves.

[0029] Step S300: After receiving the water supply demand command, the water supply demand command is used to perform zoned water supply function matching, and the mapped function drive control chain is called to drive the corresponding valves to perform valve linkage control.

[0030] Specifically, water supply demand commands are received through a user interface (such as a touchscreen or remote terminal). These commands can be manually entered or automatically triggered (such as timed water supply or low water pressure detected by sensors). The central control system matches the corresponding zoned water supply function based on the water supply demand command, and invokes a preset function-driven control chain, which defines the valve linkage logic. A motor driver (such as a stepper motor driver) is used to control the opening and closing of the valves. Control signals are sent to the valve driver via a communication protocol (such as Modbus or CAN bus), and the valve status (such as opening degree and pressure) is monitored in real time to ensure the accuracy of valve linkage control.

[0031] For example, a water supply command is entered on a touchscreen in the crew rest area, and the command is transmitted to the central control system via the network. The central control system matches the command to the water supply function in the living area and calls the corresponding function to drive the control chain. The control chain command is sent to the valve actuator via the CAN bus, and the actuator controls the valves to open and close in a preset sequence.

[0032] In one possible implementation, after matching the water supply function to the zoned water supply using the water supply demand command, the mapped function-driven control chain is invoked. Step S300 further includes step S310, which involves retrieving historical water supply data based on the water supply demand command to establish a time-series water supply chain. Specifically, when a new water supply demand command is received, the system queries the historical database and retrieves historical water supply data similar to the current demand. This historical water supply data includes past water supply paths, valve operation sequences, water supply times, flow rates, and other information. Based on the retrieved historical data, a time-series water supply chain is generated, which records the valve opening and closing sequence and time series under similar past demands. The time-series water supply chain is a dynamic time-series model that describes the entire process from the start to the end of water supply.

[0033] For example, assuming the current demand is to supply water to the crew's living quarters, the system will search the historical database for detailed records of past water supply to the living quarters. An example of the generated time-series water supply chain is shown in Table 1.

[0034] Table 1: Examples of Time-Sequenced Water Supply Chains Time point Valve operation Flow rate (L / min) Pressure (bar) T0 Open V1 0 0 T1 Open V2 50 1.2 T2 Open V3 100 1.5 T3 Close V2 80 1.4 T4 Close V1 0 0 Step S320: Establish a stability score for the time-series water supply chain based on its water supply effect and switching status. Specifically, analyze parameters such as flow rate and pressure in the time-series water supply chain to assess whether the water supply effect meets the requirements. For example, check whether the flow rate is stable and reaches the expected value, and whether the pressure is within the safe range. Check for any abnormalities during valve switching (such as sudden pressure changes or flow interruptions). Assess the smoothness of the switching to avoid impacting the pipeline system. Calculate a stability score for the time-series water supply chain based on the water supply effect and switching status. The score can be based on preset rules, such as a high score for a chain with stable flow and smooth switching, and a low score for a chain with abnormalities. For example, the evaluation rules are as follows: if the flow rate fluctuates by less than 10% during the water supply process, 2 points are awarded; if the pressure is always within the safe range, 2 points are awarded; if there are no sudden pressure changes during valve switching, 1 point is awarded. Assuming that a certain time-series water supply chain has a flow rate fluctuation of 5%, consistently normal pressure, and no sudden pressure changes during switching, its stability score is 5 points (out of 5).

[0035] Step S330: Identify the previously used water supply chain from the time-series water supply chain and create a maintenance score for the corresponding water supply chain. Specifically, search the historical data for the time-series water supply chain used when supplying water to the same area last time. Evaluate whether the previously used time-series water supply chain is suitable for current needs. For example, if the previously used chain is still applicable under current conditions (e.g., flow and pressure requirements remain unchanged), a higher maintenance score is given. The maintenance score can be calculated based on the chain's applicability and reliability. For example, the scoring rules are as follows: 3 points if the previously used water supply chain fully meets current needs; 2 points if it partially meets needs (e.g., flow rate changes slightly but remains within acceptable limits); 0 points if it is not applicable (e.g., demand changes significantly). Assuming the previously used water supply chain fully meets current needs, the maintenance score is 3 points.

[0036] Step S340: The water supply chain function is adapted and matched according to the stability score and the maintenance score for zoned water supply. Specifically, the stability score and the maintenance score are combined to calculate a comprehensive score. The comprehensive score can be a weighted sum of the two, and the weights can be adjusted according to actual needs. Based on the comprehensive score, the optimal water supply chain is selected for the current water supply operation. If the comprehensive score is low, the system can adjust the water supply chain and optimize the valve operation sequence or parameters. For example, the comprehensive score is calculated as follows: Assuming the stability score weight is 0.6 and the maintenance score weight is 0.4, the comprehensive score = 0.6 × stability score + 0.4 × maintenance score. Assuming the stability score is 5 points and the maintenance score is 3 points, the comprehensive score is 4.2 points. If this score is higher than a preset threshold (e.g., 4 points), the water supply chain is used directly; otherwise, the system adjusts the water supply chain and optimizes valve operations. This implementation, by introducing historical data and a scoring mechanism, allows the system to select the optimal water supply chain, reduce unnecessary valve operations, and improve water supply efficiency. The stability scoring and maintenance scoring mechanism ensures that the selected water supply chain has high stability and reliability under current conditions, thereby reducing system failures caused by improper valve operation or inappropriate water supply chain selection. Simultaneously, this approach allows for dynamic adjustment of the water supply chain based on current water demand and historical data, adapting to different operating conditions.

[0037] In one possible implementation, the water supply chain function adaptation and matching based on the stability score and the maintenance score for zoned water supply further includes step S341, which involves performing a water supply performance trend assessment after processing the water supply effect of the time-series water supply chain using a sliding window algorithm. Specifically, a sliding window algorithm is used to process the water supply effect data (such as flow rate and pressure) in the time-series water supply chain. The sliding window algorithm calculates statistical indicators such as the mean and standard deviation within the window by sliding a fixed-size window across the data sequence. For example, the window size can be set to the water supply data of the past 10 minutes. The trend of water supply performance is assessed based on the statistical indicators calculated by the sliding window. If the average flow rate within the window gradually decreases or the pressure fluctuation increases, it indicates that the water supply performance may be declining. The water supply performance in the future is predicted using a trend analysis algorithm (such as linear regression or moving average).

[0038] Step S342: When the water supply performance degradation meets a preset threshold, a water supply chain switching warning is triggered, and the water supply chain function adaptation and matching are reconstructed. Specifically, the preset threshold for water supply performance degradation is, for example, a flow rate decrease exceeding 10% or a pressure decrease exceeding 0.1 bar. When the water supply performance indicators after sliding window processing reach or exceed the preset threshold, the system triggers a water supply chain switching warning. The warning can be sent to operators via audible and visual alarms, SMS notifications, etc. After the warning is triggered, the system automatically reconstructs the water supply chain function adaptation and matching, reassesses the current water supply demand and historical data, and generates a new time-series water supply chain. The valve operation sequence or parameters are adjusted to optimize the water supply path. This implementation method, by adjusting the water supply chain in a timely manner, allows the system to quickly recover when performance degrades, improving the overall reliability of the water supply system and reducing equipment failures or water supply interruptions caused by water supply chain performance problems.

[0039] In one possible implementation, after matching the water supply function to the zoned water supply using the water supply demand command, the mapped function-driven control chain is invoked. Step S300 may further include step S350, establishing a multi-objective optimization function. The evaluation features of the multi-objective optimization function include the number of valves opened, response time, flow fluctuation, and switching frequency. Specifically, a comprehensive optimization function is established to evaluate the performance of the water supply chain. This optimization function contains multiple evaluation features, each with a corresponding weight to reflect its importance. The evaluation features include: the number of valves opened, response time, flow fluctuation, and switching frequency. The fewer valves opened, the more energy-efficient the system. Response time refers to the time from receiving the water supply demand command to actually starting water supply. Flow fluctuation refers to the stability of the flow during water supply; smaller fluctuations are better. Switching frequency refers to the frequency of valve switching; lower frequencies are better to reduce mechanical wear and energy consumption. Weights are assigned to each evaluation feature according to actual needs and priorities. For example, if the system prioritizes rapid response, the weight of response time can be higher.

[0040] For example, a multi-objective optimization function can be expressed as: Where α, β, γ, and δ are the weight coefficients of each objective, satisfying α + β + γ + δ = 1. Indicates the number of valves opened. This represents the state of the i-th valve (1 indicates open, 0 indicates closed), and N is the total number of valves. Indicates response time. This is the water supply start time. This refers to the time when the water supply demand instruction is received. This represents the flow fluctuation, where T is the number of sampling time points. It is the flow rate at time t. It is the average flow rate. Indicates the switching frequency. It is the valve state at time t. It represents the valve state at time t-1.

[0041] Step S360: Based on the multi-objective optimization function, an adaptation analysis of the water supply chain is performed to complete the matching of the zoned water supply functions. Specifically, an optimization algorithm (such as a genetic algorithm, particle swarm optimization algorithm, or linear programming) is used to perform adaptation analysis on the water supply chain. The performance of different water supply chains is evaluated through the multi-objective optimization function, and the optimization algorithm dynamically adjusts the parameters of the water supply chain (such as valve opening and closing sequence, opening degree, etc.) according to the value of the multi-objective optimization function. Based on the optimization results, the matching of the zoned water supply functions is completed, ensuring that the selected water supply chain meets the water supply demand while optimizing key indicators such as the number of valves opened, response time, flow fluctuation, and switching frequency. This implementation method, by introducing a multi-objective optimization function and optimization algorithm, can comprehensively consider multiple key factors such as the number of valves opened, response time, flow fluctuation, and switching frequency, optimize the performance of the water supply chain, and improve the efficiency and reliability of the system.

[0042] Step S400: Based on the main branch identifier, partition the main branch of the called function drive control chain and establish the partition result.

[0043] Specifically, based on the main and branch road identifiers in the topology diagram, the function-driven control chain is decomposed into a main road control chain and a branch road control chain. The main road control chain is responsible for valve control of the main water supply path, and the branch road control chain is responsible for valve control of the branch paths. A partitioning result is generated in the central control system, defining the valve control logic for each partition for anomaly detection and control optimization.

[0044] For example, the function-driven control chain can be decomposed into a main control chain and a branch control chain. The main control chain is responsible for valve control from the water source to the living area, while the branch control chain is responsible for valve control from the living area to each room.

[0045] Step S500: Invoke the status sensing sensor of the linkage control valve position, perform water supply data acquisition for the valve position, establish a valve point dataset, and perform joint anomaly backtracking of the main branch through the partitioning results and the valve point dataset. Use the joint anomaly backtracking results to update the valve linkage control. The status sensing sensor includes a pressure sensor, a flow sensor, a temperature sensor, and a vibration sensor.

[0046] Specifically, status sensing sensors, including pressure, flow, temperature, and vibration sensors, are installed at valve locations to monitor the valve's status in real time. The sensors transmit the monitored data to the central control system via communication protocols (such as Modbus or CAN bus), which stores the collected data as a valve point dataset. Data analysis algorithms (such as time series analysis or machine learning algorithms) are used to analyze the valve point dataset, detecting anomalies in the main and branch circuits (such as pressure or flow anomalies). Based on the combined anomaly backtracking results, the functional drive control chain is adjusted, and the updated control signals are sent to the valve actuator via the communication protocol.

[0047] In one possible implementation, the joint anomaly backtracking of the main branch using the partitioning results and the valve point dataset further includes step S510, whereby the function-driven control chain backtracks the water supply path from the end of the branch based on the main branch identifier. Specifically, starting from the end of the branch (i.e., the branch point furthest from the main road), the backtracking proceeds upstream along the water supply path to the main road. The valve operation records and main branch identifiers in the function-driven control chain are used to determine the water supply path of each branch. During the backtracking process, key parameters such as flow rate and pressure of each branch are recorded.

[0048] Step S520: Based on the water supply path backtracking results and the zoning results, the set of water supply coverage branches of the upstream main road is retrieved. Specifically, based on the water supply path backtracking results, the set of all branches covered by the upstream main road is determined. Branch information related to the upstream main road, including the branch's start point, end point, valve status, etc., is retrieved from the zoning results to generate a set of water supply coverage branches for anomaly detection and handling.

[0049] Step S530: The command start identification of the water supply coverage branch set is executed at the control terminal, and the zoning results are updated using the command start identification results. Specifically, the command start identification of the water supply coverage branch set is executed at the control terminal (e.g., a central control system). Through command start identification, the actual operating status of each branch (e.g., whether water supply is normal, whether there are any abnormalities) is determined. Based on the identification results, the zoning results are updated, and the branch status and parameters within the zoning are corrected.

[0050] Step S540 involves performing a joint anomaly backtracking of the main and branch circuits using the updated partitioning results and the valve point dataset. Specifically, the updated partitioning results and valve point dataset are used to re-perform the joint anomaly backtracking of the main and branch circuits. By comparing the data before and after the update, anomaly points are located more accurately. Based on the anomaly backtracking results, the valve operation logic is adjusted, and the water supply path is optimized. This implementation method, which updates the partitioning results based on the instruction-initiated identification results, can more accurately locate anomaly points, avoid misjudgments, and thus improve the overall reliability of the water supply system.

[0051] In one possible implementation, the step S540, which involves performing joint anomaly backtracking of the main branch using the updated partitioning results and the valve point dataset, further includes step S541: reconstructing the main branch roles using the updated partitioning results. The main branch roles include logical main routes, logical branches, and degraded main routes. Specifically, a logical main route refers to the path that undertakes the primary water supply task under normal operating conditions. A logical branch refers to the path that undertakes auxiliary water supply tasks under normal operating conditions. A degraded main route refers to a main route used as a backup path in abnormal situations. Based on the updated partitioning results, the roles of the main branch routes are reassessed. For example, if a main route is found to have a problem during anomaly backtracking, its role needs to be downgraded to a degraded main route. Simultaneously, the roles of other branches are adjusted according to the abnormal situation, for example, promoting a logical branch to a main route.

[0052] Step S542 involves performing a linkage anomaly analysis on the valve point dataset under the function-driven control chain based on the reconstructed main branch roles, and locating the joint anomaly backtracking based on the linkage anomaly analysis. Specifically, under the function-driven control chain, linkage anomalies in the valve point dataset are analyzed. A linkage anomaly refers to an abnormal change in the state or parameters of other related valves after the operation of a certain valve. Linkage anomalies are identified by analyzing parameters such as flow rate, pressure, and valve state in the valve point dataset. Based on the results of the linkage anomaly analysis, the anomaly point is accurately located. For example, if the operation of a certain valve causes a pressure drop in the downstream branch, it can be determined that there is an anomaly in that valve or its downstream path. The results of the joint anomaly backtracking are updated, recording the specific location and cause of the anomaly point. This implementation method, through reconstructing the main branch roles and performing linkage anomaly analysis, can dynamically adjust the roles of the main branch according to the anomaly situation, more accurately locate the anomaly point, and avoid misjudgment.

[0053] In one possible implementation, the valve linkage control update using the joint anomaly backtracking results, step S500 further includes step S550, which uses the joint anomaly backtracking results to evaluate the repair of the original path and establish a first evaluation result. Specifically, based on the joint anomaly backtracking results, the repair probability and priority of the original path are assessed. The repair evaluation includes the following aspects: fault type: determining whether the fault is temporary (e.g., valve jamming) or permanent (e.g., pipe rupture); repair difficulty: assessing the time and resources required for repair; impact scope: assessing the impact scope of the fault on the water supply system. The first evaluation result is established, and the repair priority and recommendations for the original path are recorded. For example, suppose the joint anomaly backtracking results show a pressure drop in the path from node 2 to node 5, which is determined to be a fault in valve V2. The repair evaluation is: fault type: temporary fault (valve jamming); repair difficulty: low (only valve restart required); impact scope: only affects the water supply of branch 2. The first evaluation result is: repair priority: high; repair recommendation: restart valve V2 and observe whether it returns to normal.

[0054] Step S560: Identify and adapt alternative paths based on the pipeline topology diagram, and establish a second evaluation result. Specifically, identify available alternative paths according to the pipeline topology diagram. Evaluate the adaptability of the alternative paths, including: flow and pressure adaptability: whether the alternative path can meet the current water supply demand; valve status: whether the valves on the alternative path are in an operable state; switching cost: the time and resources required to switch to the alternative path. Establish a second evaluation result, recording the adaptability of the alternative paths and switching recommendations. For example, assume there is an alternative path in the pipeline topology diagram: Node 1 → Node 4 → Node 5. The adaptability evaluation is as follows: flow and pressure adaptability: the alternative path can meet the current water supply demand; valve status: valve V4 on the alternative path is in an open state; switching cost: switching to the alternative path requires closing valve V2 and opening valve V4. The second evaluation result is: adaptability: high; switching recommendation: close valve V2, open valve V4, and switch to the alternative path.

[0055] Step S570: Update the valve linkage control based on the first evaluation result and the second evaluation result. Specifically, a comprehensive evaluation is performed by combining the first evaluation result (original path repair) and the second evaluation result (backup path adaptation). Based on the evaluation result, decide whether to repair the original path or switch to the backup path. Repairing the original path is preferred; if repair is not feasible or takes too long, switch to the backup path. Based on the comprehensive evaluation result, update the valve linkage control logic. If repairing the original path is selected, a repair command is sent and the repair process is monitored; if switching to the backup path is selected, adjust the valve operation logic to ensure a smooth transition.

[0056] For example, the comprehensive assessment is as follows: First evaluation result: high repair priority, restart valve V2 is recommended; Second evaluation result: high adaptability of the backup path, low switching cost. The decision adopted is: first attempt to repair the original path, restart valve V2; if the problem persists after restarting, switch to the backup path. A restart command is sent to valve V2, its status is monitored, and if the restart fails, valve V2 is closed, valve V4 is opened, and the system switches to the backup path. This implementation method, through original path repair evaluation and backup path adaptability identification, allows the system to comprehensively evaluate fault handling solutions, avoid the risks of single-minded decision-making, and improve system robustness.

[0057] In one possible implementation, the process of adapting and identifying the backup path based on the pipeline topology diagram and establishing a second evaluation result, step S560 further includes step S561, calculating the path response delay of the backup path and establishing a first influencing factor. Specifically, based on the pipeline topology diagram, the time delay from startup to actual water supply of the backup path is calculated. Factors considered include: valve operation time (time from sending the command to the valve fully opening), flow establishment time (time from valve opening to the flow reaching stability), and pipeline filling time (time for water to fill the backup path). The path response delay is quantified into an influencing factor to evaluate the response speed of the backup path. The smaller the response delay, the lower the influencing factor (indicating a faster response).

[0058] For example, assume the backup path is Node 1 → Node 4 → Node 5. Valve operation time: The response time of valve V4 is 2 seconds. Flow establishment time: It takes 3 seconds for the flow to stabilize after valve V4 opens. Pipeline filling time: The filling time of the backup path is 5 seconds. Total path response delay = 2 seconds + 3 seconds + 5 seconds = 10 seconds. Assuming the response delay is proportional to the impact factor, the first impact factor corresponding to a response delay of 10 seconds is 10.

[0059] Step S562: Calculate the water supply stability prediction for the backup path and establish a second influencing factor. Specifically, based on historical data and the current status of the backup path, predict its water supply stability. Factors considered include: historical flow fluctuations (flow fluctuations of the backup path over a past period), pressure stability (whether the pressure of the backup path is stable), and valve status (the reliability of valves on the backup path). The water supply stability prediction is quantified into an influencing factor to assess the stability of the backup path. The higher the stability, the lower the influencing factor (indicating greater stability).

[0060] Step S563: Establish a second evaluation result using the first and second influencing factors. Specifically, a comprehensive evaluation model is established by combining the first influencing factor (path response delay) and the second influencing factor (water supply stability prediction). The comprehensive evaluation result can be calculated by weighted summation. Based on the comprehensive evaluation result, the suitability of the backup path is assessed; the higher the suitability, the lower the comprehensive evaluation result. This implementation method, by calculating path response delay and water supply stability prediction, can more accurately assess the suitability of the backup path.

[0061] This application's embodiments employ data deconstruction of marine water supply pipelines to establish a topology diagram containing valve and main / branch road identifiers. This allows for the acquisition of zoned water supply functions, adaptation of water supply paths to the topology diagram, and the establishment of a functional drive control chain composed of valve combination controls. Upon receiving a water supply demand command, the system matches the zoned water supply function, invokes the corresponding functional drive control chain, and drives valve linkage control. The invoked control chain is partitioned based on the main / branch road identifiers. Simultaneously, state-sensing sensors are used to collect water supply data from the linked valve positions, forming a valve point dataset. The partitioning results and the valve point dataset are used for main / branch road joint anomaly backtracking. Based on the backtracking results, the valve linkage control is updated. These technical means solve the existing problems in marine water supply systems where valve control is difficult to quickly and accurately adjust valve states to adapt to actual needs, leading to localized water supply anomalies and difficulty in quickly locating and resolving the root cause of the fault. This achieves the technical effect of quickly and accurately adapting valve states, reducing localized water supply anomalies, and accurately locating and resolving the root cause of faults when anomalies occur.

[0062] In the above text, refer to Figure 1 A multi-valve integrated control method for a marine water supply system according to embodiments of the present invention is described in detail. Next, reference will be made to... Figure 2 A multi-valve integrated control system for a marine water supply system is described according to an embodiment of the present invention.

[0063] The multi-valve integrated control system for marine water supply systems according to embodiments of the present invention addresses the technical problems of existing valve control systems for marine water supply systems, which suffer from difficulties in quickly and accurately adjusting valve states to adapt to actual needs, leading to localized water supply anomalies and difficulty in quickly locating and resolving the root cause of the fault. The system achieves the technical effect of quickly and accurately adapting valve states, reducing localized water supply anomalies, and accurately locating and resolving the root cause of faults when anomalies occur. The multi-valve integrated control system for marine water supply systems includes: a pipeline topology diagram establishment module 10, a function-driven control chain establishment module 20, a valve linkage control module 30, a main and branch line zoning module 40, and a valve linkage control update module 50.

[0064] The pipeline topology diagram establishment module 10 is used to deconstruct the marine water supply pipeline data and establish a pipeline topology diagram, which is configured with valve identifiers and main branch identifiers. The function-driven control chain establishment module 20 is used to acquire the zoned water supply function, perform water supply path adaptation and matching based on the zoned water supply function, and establish a function-driven control chain based on the adaptation and matching results. The function-driven control chain is established through valve combination control. The valve linkage control module 30 is used to, upon receiving a water supply demand command, perform zoned water supply function matching based on the water supply demand command, call the mapped function-driven control chain, and drive the corresponding valves to perform valve linkage control. The main branch partitioning module 40 is used to partition the main branch of the called function-driven control chain based on the main branch identifier and establish partitioning results. The valve linkage control update module 50 is used to call the status sensing sensor of the linkage control valve position, perform valve position water supply data acquisition, establish a valve point dataset, perform joint anomaly backtracking of the main branch through the partitioning results and the valve point dataset, and use the joint anomaly backtracking results to update the valve linkage control.

[0065] The specific configuration of the valve linkage control update module 50 will be described in detail below. As mentioned above, the valve linkage control update module 50 can further include the following components to perform joint anomaly backtracking of the main branch based on the partitioning results and the valve point dataset: a water supply path backtracking unit for performing water supply path backtracking from the end of the branch based on the main branch identifier by the function-driven control chain; a water supply coverage branch set invocation unit for invoking the water supply coverage branch set of the upstream main branch based on the water supply path backtracking results and the partitioning results; a partitioning result update unit for executing the instruction to start identification of the water supply coverage branch set at the control end, and updating the partitioning results using the instruction to start identification results; and a joint anomaly backtracking unit for performing joint anomaly backtracking of the main branch using the updated partitioning results and the valve point dataset.

[0066] The method of using the updated partitioning results and the valve point dataset to perform joint anomaly backtracking of the main branch can further include: a main branch role reconstruction subunit for reconstructing the main branch role using the updated partitioning results, wherein the main branch role includes logical main road, logical branch, and degraded main road; and a linkage anomaly analysis subunit for performing linkage anomaly analysis of the valve point dataset under the function-driven control chain based on the reconstructed main branch role, and completing the joint anomaly backtracking by locating the anomaly based on the linkage anomaly analysis.

[0067] The specific configuration of the valve linkage control module 30 will be described in detail below. As mentioned above, after matching the zoned water supply function using the water supply demand command, the mapped function drive control chain is invoked. The valve linkage control module 30 may further include: a historical water supply data retrieval unit for retrieving historical water supply data based on the water supply demand command to establish a time-series water supply chain; a stability score establishment unit for establishing a stability score for the time-series water supply chain based on the water supply effect and water supply switching status of the time-series water supply chain; a retention score creation unit for identifying the previously used water supply chain from the time-series water supply chain and creating a retention score for the corresponding water supply chain; and a water supply chain function adaptation and matching unit for performing water supply chain function adaptation and matching for zoned water supply based on the stability score and the retention score.

[0068] The water supply chain function adaptation and matching unit for zoned water supply based on the stability score and the maintenance score may further include: a water supply performance trend evaluation subunit for performing water supply performance trend evaluation after performing sliding window processing on the water supply effect of the time-series water supply chain; and a water supply chain switching early warning triggering subunit for triggering a water supply chain switching early warning and reconstructing the water supply chain function adaptation and matching when the water supply performance degradation meets a preset threshold.

[0069] Wherein, after matching the zoned water supply function using the water supply demand command, the valve linkage control module 30 may further include: a multi-objective optimization function establishment unit for establishing a multi-objective optimization function, wherein the evaluation characteristics of the multi-objective optimization function include the number of valves opened, response time, flow fluctuation, and switching frequency; and a water supply chain adaptation analysis unit for performing water supply chain adaptation analysis based on the multi-objective optimization function to complete the zoned water supply function matching.

[0070] The valve linkage control update module 50, which utilizes the joint anomaly backtracking results for valve linkage control update, may further include: a first evaluation result establishment unit for evaluating the repair of the original path using the joint anomaly backtracking results and establishing a first evaluation result; a second evaluation result establishment unit for identifying the adaptation of backup paths based on the pipeline topology diagram and establishing a second evaluation result; and a valve linkage control update unit for updating the valve linkage control based on the first evaluation result and the second evaluation result.

[0071] The step of adapting and identifying backup paths based on the pipeline topology diagram and establishing a second evaluation result may further include: a first influence factor establishment subunit for calculating the path response delay of the backup path and establishing a first influence factor; a second influence factor establishment subunit for calculating the water supply stability prediction of the backup path and establishing a second influence factor; and a second evaluation result establishment subunit for establishing a second evaluation result using the first influence factor and the second influence factor.

[0072] The valve linkage control update module 50 may further include: the status sensing sensors include pressure sensors, flow sensors, temperature sensors, and vibration sensors.

[0073] The multi-valve integrated control system for marine water supply systems provided in this embodiment of the invention can execute the multi-valve integrated control method for marine water supply systems provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0074] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0075] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A multi-valve integrated control method for a marine water supply system, characterized by, The method comprises: The data of the ship water supply pipeline is deconstructed, and a pipeline topology diagram is established, wherein the topology diagram is configured with valve identification, main road branch identification; Obtain the partition water supply function, and perform water supply path adaptive matching of the pipeline topology diagram according to the partition water supply function, and establish a function-driven control chain based on the adaptive matching result, wherein the function-driven control chain is established through the combination control of the valves; After receiving the water supply demand instruction, the partition water supply function is matched by using the water supply demand instruction, and the mapped function-driven control chain is called to drive the corresponding valve to perform valve linkage control; Based on the main road branch identification, the main road branch partition of the called function-driven control chain is established, and a partition result is established; The state perception sensor of the linkage control valve position is called, the valve position water supply data collection is performed, the valve point data set is established, the joint abnormal backtracking of the main branch is performed through the partition result and the valve point data set, and the valve linkage control is updated by using the joint abnormal backtracking result.

2. The multi-valve integrated control method for a water supply system of a ship according to claim 1, characterized by, The joint abnormal backtracking of the main branch through the partition result and the valve point data set comprises: The function-driven control chain performs water supply path backtracking from the branch end according to the main road branch identification; According to the water supply path backtracking result and the partition result, the water supply coverage branch set calling of the upstream main road is performed; The instruction start identification of the water supply coverage branch set is performed at the control end, and the partition result is updated by using the instruction start identification result; The joint abnormal backtracking of the main branch is performed by using the updated partition result and the valve point data set.

3. The multi-valve integrated control method for a water supply system of a ship according to claim 2, characterized by, The joint abnormal backtracking of the main branch by using the updated partition result and the valve point data set comprises: The main branch role is reconstructed by using the updated partition result, and the main branch role comprises a logical main road, a logical branch and a degraded main road; Based on the reconstructed main branch role, the valve point data set linkage abnormal analysis under the function-driven control chain is performed, and the joint abnormal backtracking is completed according to the linkage abnormal analysis positioning.

4. The multi-valve integrated control method for a water supply system of a ship according to claim 1, characterized by, After the partition water supply function is matched by using the water supply demand instruction, the mapped function-driven control chain is called, which comprises: Based on the water supply demand instruction, historical water supply data is called to establish a time sequence water supply chain; The stability score of the time sequence water supply chain is established by the water supply effect and the water supply switching state of the time sequence water supply chain; The last used water supply chain is identified from the time sequence water supply chain, and a maintenance score of the corresponding water supply chain is created; The water supply chain function adaptive matching of the partition water supply is performed according to the stability score and the maintenance score.

5. The multi-valve integrated control method for a water supply system of a ship according to claim 4, characterized by, The water supply chain function adaptive matching of the partition water supply according to the stability score and the maintenance score comprises: After the water supply effect of the time sequence water supply chain is processed by a sliding window, the water supply performance trend evaluation is performed; When the water supply performance attenuation meets the preset threshold, the water supply chain switching warning is triggered, and the water supply chain function adaptive matching is reconstructed.

6. The multi-valve integrated control method for a water supply system of a ship according to claim 1, wherein After the partition water supply function is matched by using the water supply demand instruction, the mapped function-driven control chain is called, which further comprises: A multi-objective optimization function is established, evaluation characteristics of the multi-objective optimization function include valve opening number, response time, flow fluctuation, switching frequency; Based on the multi-objective optimization function, the adaptation analysis of the water supply chain is carried out, and the partition water supply function matching is completed.

7. The multi-valve integrated control method for a water supply system of a ship according to claim 1, characterized by, The valve linkage control update using the joint abnormal backtracking result includes: Using the joint abnormal backtracking result to repair the evaluation of the original path, a first evaluation result is established; Based on the pipeline topology structure diagram, the adaptation identification of the standby path is carried out, and a second evaluation result is established; According to the first evaluation result and the second evaluation result, the valve linkage control update is carried out.

8. The multi-valve integrated control method for a water supply system of a ship according to claim 7, characterized by, The adaptation identification of the standby path based on the pipeline topology structure diagram to establish the second evaluation result includes: Calculate the path response delay of the standby path to establish the first influence factor; Calculate the water supply stability prediction of the standby path to establish the second influence factor; Using the first influence factor and the second influence factor to establish the second evaluation result.

9. The multi-valve integrated control method for a water supply system of a ship according to claim 1, characterized by, The state perception sensor includes a pressure sensor, a flow sensor, a temperature sensor, and a vibration sensor.

10. A multi-valve integrated control system for a marine water supply system, characterized in that, The system is used to implement the multi-valve integrated control method for marine water supply system according to any one of claims 1-9, and the system includes: A pipeline topology structure diagram establishment module is used to deconstruct the data of the marine water supply pipeline, establish a pipeline topology structure diagram, and the topology structure diagram is configured with valve identification, main road branch identification; A function driven control chain establishment module is used to obtain partition water supply function, adapt and match the water supply path of the pipeline topology structure diagram according to the partition water supply function, and establish a function driven control chain based on the adaptation and matching result, the function driven control chain is established by the combination control of the valve; A valve linkage control module is used to call the mapped function driven control chain to drive the valve linkage control of the corresponding valve after receiving the water supply demand instruction and matching the partition water supply function with the water supply demand instruction; A main road branch partition module is used to partition the main road branch of the called function driven control chain based on the main road branch identification, and establish a partition result; A valve linkage control update module is used to call the state perception sensor of the linkage control valve position, execute the valve position water supply data collection, establish a valve point data set, perform joint abnormal backtracking of the main branch through the partition result and the valve point data set, and update the valve linkage control using the joint abnormal backtracking result.

Images