Hydraulic butterfly valve automatic adjusting system and method

Abstract

The invention relates to the technical field of hydraulic automatic control, in particular to an automatic regulating system and method for a hydraulic butterfly valve, and the system comprises a hydraulic power regulation and control module, an opening degree detection and correction module, a flow dynamic matching module, a pressure balance optimization module and an execution mechanism self-matching regulation module. According to the method, the pressure and flow characteristics are extracted through the operation parameters of the hydraulic pump, the adaptability and accuracy of hydraulic transmission are effectively improved, in butterfly valve adjustment execution, the timeliness of adjustment action and target consistency are enhanced by analyzing opening deviation and response aging quantization error accumulation in real time, accurate allocation of flow and pressure resources is achieved, and the adjustment efficiency is improved. In the dynamic control stage, the output matching sequence is continuously adjusted according to the corresponding relation between the unsatisfied requirement and the remaining capacity, response delay and adjustment deviation are remarkably reduced, and therefore the continuity, coordination and adjustment precision of butterfly valve control are improved, and stable operation of a hydraulic system under variable working conditions is effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of hydraulic automatic control, in particular to a hydraulic butterfly valve automatic adjustment system and method. Background Art

[0002] The field of hydraulic automatic control technology mainly involves the use of hydraulic drive systems to achieve automatic control of mechanical equipment. The core issues in this technical field include pressure, flow and temperature control of hydraulic systems, precise control of hydraulic actuators, and stability and reliability assurance of hydraulic systems. Hydraulic automatic control technology is widely used in engineering machinery, aerospace, shipbuilding, metallurgy, mining and other fields, covering the design and optimization of core equipment such as hydraulic pumps, hydraulic valves, and hydraulic cylinders. Hydraulic automatic control technology also includes real-time monitoring, fault diagnosis, automatic adjustment and optimization of hydraulic transmission and control systems. It aims to improve the degree of automation and work efficiency of hydraulic equipment, reduce human intervention, and ensure the precise operation and safety of equipment.

[0003] Among them, traditional hydraulic butterfly valve automatic adjustment systems use hydraulic drive to control the opening of butterfly valves to achieve pipeline flow regulation. Traditional hydraulic butterfly valve automatic adjustment systems typically use manual or automatic control methods based on hydraulic actuators to adjust the butterfly valve opening, relying on the action of the hydraulic pump and valve to achieve flow and pressure control. In this process, the opening adjustment of the hydraulic butterfly valve relies on the pressure and flow control of the hydraulic system, involving a large number of mechanical adjustments and manual operations. Its adjustment accuracy and response speed are relatively limited, and it is easily affected by environmental changes and system stability issues, making it impossible to achieve fast and precise automatic adjustment.

[0004] Traditional technologies rely on a combination of fixed hydraulic actions and manual intervention to complete flow and pressure regulation during the adjustment process. The core basis of system regulation is the static linkage between hydraulic pressure and flow, and fails to quantify in real time the impact of environmental variables and system feedback status on control accuracy. Especially in situations of temperature fluctuations or sudden load changes, response delays and expansion of adjustment errors are prone to occur. The system lacks a mechanism to identify and correct the accumulation of adjustment errors, resulting in frequent target deviations and control lags during the valve control process. In complex environments that require high response speed and adjustment consistency, it is difficult to continuously ensure control stability and execution reliability. Summary of the Invention

[0005] In order to solve the technical problems existing in the prior art, the embodiments of the present invention provide a hydraulic butterfly valve automatic adjustment system and method. The technical solution is as follows:

[0006] In one aspect, a hydraulic butterfly valve automatic adjustment system is provided, the system comprising:

[0007] The hydraulic power control module extracts hydraulic power output parameters based on the hydraulic pump output pressure and flow characteristic curve, analyzes the impact of hydraulic oil temperature and viscosity on power transmission, organizes the relationship model between hydraulic power and butterfly valve opening, and obtains the hydraulic power output adaptation table;

[0008] The opening detection and correction module extracts the deviation between the real-time opening value of the butterfly valve and the target opening based on the hydraulic power output adaptation table, identifies the opening change rate and response time, quantifies the cumulative effect of the opening error, summarizes the opening correction weight, and obtains the butterfly valve opening correction data set;

[0009] The flow dynamic matching module extracts the flow demand distribution parameters based on the butterfly valve opening correction data set, performs a hierarchical weighted analysis based on the hydraulic system pressure fluctuation characteristics and the butterfly valve opening variation law, and obtains a flow demand matching table;

[0010] The pressure balance optimization module is based on the flow demand matching table, sorted according to flow priority and pressure demand ratio, identifies the pressure distribution relationship between the hydraulic system and the butterfly valve, adjusts the distribution order according to the pressure node fluctuation, and constructs an initial pressure balance plan.

[0011] As a further solution of the present invention, the hydraulic power output adaptation table includes pressure grading parameters, flow control range, temperature-viscosity compensation coefficient, and opening coupling coefficient; the butterfly valve opening correction data set includes opening error factor, response delay parameter, change rate index, and correction weighted value; the flow demand matching table includes graded flow interval, demand priority level, fluctuation threshold, and matching coefficient weight; the initial pressure balance scheme includes pressure distribution structure, node adjustment order, fluctuation correction factor, and flow distribution factor.

[0012] As a further solution of the present invention, the hydraulic power control module includes:

[0013] The hydraulic characteristics extraction submodule extracts hydraulic power output parameters based on the hydraulic pump output pressure and flow characteristic curve, classifies the hydraulic oil temperature and viscosity influencing factors, and generates a hydraulic power output characteristic table;

[0014] The power transmission analysis submodule analyzes the influence of hydraulic oil temperature and viscosity on power transmission efficiency based on the hydraulic power output characteristic table, calculates the hydraulic power output adaptation value under different working conditions, and generates a hydraulic power and butterfly valve opening relationship model;

[0015] The adaptation table generation submodule arranges the hydraulic power output parameters based on the hydraulic power and butterfly valve opening relationship model, analyzes the corresponding relationship with the target butterfly valve opening value, and generates a hydraulic power output adaptation table.

[0016] As a further solution of the present invention, the opening detection and correction module includes:

[0017] The opening deviation extraction submodule extracts the deviation between the real-time opening value and the target opening of the butterfly valve based on the hydraulic power output adaptation table, records the opening change rate and response time data, and generates an opening deviation data table;

[0018] The error accumulation quantification submodule quantifies the opening error accumulation effect based on the opening deviation data table, analyzes the difference between the hydraulic power distribution and the opening demand ratio, and generates an opening error accumulation effect table;

[0019] The correction weight summarization submodule extracts the opening deviation magnitude and correction frequency based on the opening error cumulative effect table, filters the high-frequency error section and marks the deviation direction, summarizes the opening correction weight, and generates a butterfly valve opening correction data set.

[0020] As a further solution of the present invention, the traffic dynamic matching module includes:

[0021] The flow demand extraction submodule extracts flow demand distribution parameters based on the butterfly valve opening correction data set, classifies flow demand priority data, and generates a flow demand distribution table;

[0022] The pressure fluctuation analysis submodule calculates the pressure node fluctuation state value based on the flow demand distribution table, combined with the pressure fluctuation characteristics of the hydraulic system and the change law of the butterfly valve opening, and generates a pressure fluctuation state table;

[0023] The hierarchical weighted analysis submodule performs a multi-dimensional comparison between flow demand and pressure fluctuation based on the pressure fluctuation state table, screens the flow demand distribution adaptation relationship, and generates a flow demand matching table.

[0024] As a further solution of the present invention, the pressure node fluctuation state value adopts the formula:

[0025] ;

[0026] in, Represents the fluctuation state value of the pressure node, represents the pressure change in the i-th time period, Represents the change in valve opening for each pressure fluctuation, represents the time interval, represents the flow rate change, represents the initial flow, and n represents the number of fluctuation periods.

[0027] As a further solution of the present invention, the pressure balance optimization module includes:

[0028] The priority sorting submodule extracts the flow peak position and the pressure difference threshold based on the flow demand matching table, analyzes the flow contribution under the unit pressure difference, and generates a flow priority sorting table;

[0029] The pressure distribution identification submodule extracts the pressure change trajectory of the main channel node based on the flow priority sorting table, identifies the pressure difference balance point and the offset direction, and generates a pressure distribution relationship table;

[0030] Based on the pressure distribution relationship table, the fluctuation adjustment submodule adjusts the distribution order according to the pressure node fluctuation situation, extracts the frequency and amplitude sequence of node pressure difference changes, counts the offset amplitude and duration of the pressure difference exceeding the limit node, divides the stable interval and the fluctuation transition section, screens the main channel access sequence and the bypass auxiliary channel connection nodes, and generates an initial pressure balance plan.

[0031] As a further solution of the present invention, the system further includes an actuator self-matching adjustment module:

[0032] Based on the initial pressure balancing scheme, the actuator self-matching adjustment module monitors the hydraulic system pressure status and the butterfly valve opening execution, compares the unmet flow demand with the remaining hydraulic capacity in real time, and fills the pressure fluctuation gap by adjusting the hydraulic power output and the butterfly valve opening matching sequence, thereby generating a dynamic adjustment scheme for the butterfly valve;

[0033] The butterfly valve dynamic adjustment scheme includes residual adjustment parameters, execution sequence configuration, residual pressure utilization rate, and adjustment completion criteria.

[0034] As a further solution of the present invention, the actuator self-matching adjustment module includes:

[0035] Based on the initial pressure balance scheme, the state monitoring submodule collects pressure node values ​​and butterfly valve opening feedback, records the jump time and deviation amplitude, marks the pressure mutation and opening offset position, and generates a state monitoring data table;

[0036] The demand comparison submodule extracts the time points corresponding to the unsatisfied flow rates based on the state monitoring data table, identifies the remaining hydraulic power and the instantaneous gap, matches the target gap with the power segment, and generates a demand comparison result table;

[0037] Based on the demand comparison result table, the dynamic adjustment submodule fills the pressure fluctuation gap by adjusting the matching order of hydraulic power output and butterfly valve opening, identifies power gap nodes and response lag segments, extracts unexecuted sections and backup paths, updates the hydraulic output timing and butterfly valve control curve, and generates a dynamic adjustment plan for the butterfly valve.

[0038] On the other hand, a hydraulic butterfly valve automatic adjustment method is provided, which is performed based on the above hydraulic butterfly valve automatic adjustment system and includes the following steps:

[0039] S1: Extract hydraulic power output parameters and butterfly valve target opening values ​​based on the hydraulic pump output pressure and flow characteristic curve, normalize the hydraulic oil temperature and viscosity influencing factors, match the hydraulic power and target opening relationship, and generate a hydraulic power output adaptation table;

[0040] S2: Based on the hydraulic power output adaptation table, extract the target and real-time opening deviation value, calculate the offset amplitude and response duration, filter the opening change rate and response time data, and generate a butterfly valve opening correction data set;

[0041] S3: Based on the butterfly valve opening correction data set, the flow change frequency and peak nodes per unit time are extracted, the pressure difference response value is correlated to identify the abnormal transition point and the stable recovery point, the echo time and jump boundary within the pressure fluctuation range are extracted, and the flow demand matching table is generated;

[0042] S4: Based on the flow demand matching table, analyze the high-frequency flow priority segments and fluctuation peak positions, identify step change nodes, reconstruct the main channel and compensation path, and build an initial flow path and pressure balance solution;

[0043] S5: Based on the initial flow path and pressure balance solution, filter out the parameters that do not meet the flow demand and the fluctuation state values ​​of key nodes, extract the offset frequency peak and correct the opening adjustment control logic to generate a dynamic adjustment solution for the butterfly valve.

[0044] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0045] By extracting the pressure and flow characteristics through the operating parameters of the hydraulic pump, and integrating the influencing factors of hydraulic oil temperature and viscosity to establish a correlation model, the adaptability and accuracy of hydraulic transmission are effectively improved. During the butterfly valve adjustment execution, the opening deviation and response time are analyzed in real time to quantify the error accumulation, thereby enhancing the timeliness and target consistency of the adjustment action. Combined with the flow demand changes and pressure fluctuation distribution in the system, a hierarchical comparison is performed to achieve precise allocation of flow and pressure resources. In the dynamic control stage, the output matching sequence is continuously adjusted according to the correspondence between unmet demand and remaining capacity, significantly reducing response hysteresis and adjustment deviation, thereby improving the continuity, coordination and adjustment accuracy of butterfly valve control, and effectively ensuring the stable operation of the hydraulic system under variable working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 Schematic diagram of a hydraulic butterfly valve automatic adjustment system provided by an embodiment of the present invention;

[0048] Figure 2 Schematic diagram of the system framework of the present invention;

[0049] Figure 3 This is a flow chart of the hydraulic power control module in the present invention;

[0050] Figure 4 This is a flow chart of the opening detection and correction module in the present invention;

[0051] Figure 5 This is a flow chart of the dynamic traffic matching module in the present invention;

[0052] Figure 6 This is a flow chart of the pressure balance optimization module in the present invention;

[0053] Figure 7 This is a flow chart of the self-matching adjustment module of the actuator in the present invention;

[0054] Figure 8 This is a flow chart of a method for automatic adjustment of a hydraulic butterfly valve provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0056] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0057] In the embodiments of the present invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same. The terms "of," "corresponding," and "corresponding" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same.

[0058] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0059] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0060] The embodiment of the present invention provides a hydraulic butterfly valve automatic adjustment system, such as Figure 1-2 The schematic diagram of the hydraulic butterfly valve automatic adjustment system shown in FIG. 1 includes:

[0061] The hydraulic power control module extracts hydraulic power output parameters based on the hydraulic pump output pressure and flow characteristic curve, analyzes the impact of hydraulic oil temperature and viscosity on power transmission, organizes the relationship model between hydraulic power and butterfly valve opening, and obtains the hydraulic power output adaptation table;

[0062] The opening detection and correction module extracts the deviation between the real-time butterfly valve opening value and the target opening based on the hydraulic power output adaptation table, identifies the opening change rate and response time, quantifies the cumulative effect of the opening error, summarizes the opening correction weight, and obtains the butterfly valve opening correction data set;

[0063] The flow dynamic matching module extracts the flow demand distribution parameters based on the butterfly valve opening correction data set, and performs a hierarchical weighted analysis based on the hydraulic system pressure fluctuation characteristics and the butterfly valve opening variation law to obtain the flow demand matching table;

[0064] The pressure balance optimization module, based on the flow demand matching table, sorts the flow priority and pressure demand ratio, identifies the pressure distribution relationship between the hydraulic system and the butterfly valve, adjusts the distribution order according to the pressure node fluctuation, and constructs an initial pressure balance plan;

[0065] The actuator self-matching adjustment module monitors the hydraulic system pressure status and the butterfly valve opening execution based on the initial pressure balance scheme, compares the unmet flow demand with the remaining hydraulic capacity in real time, fills the pressure fluctuation gap by adjusting the hydraulic power output and the butterfly valve opening matching sequence, and generates a dynamic adjustment plan for the butterfly valve.

[0066] The hydraulic power output adaptation table includes pressure classification parameters, flow control range, temperature-viscosity compensation coefficient, and opening coupling coefficient. The butterfly valve opening correction data set includes opening error factor, response delay parameter, change rate index, and correction weight value. The flow demand matching table includes the classified flow range, demand priority level, fluctuation threshold, and matching coefficient weight. The initial pressure balance plan includes the pressure distribution structure, node adjustment sequence, fluctuation correction factor, and flow distribution factor. The butterfly valve dynamic adjustment plan includes residual adjustment parameters, execution sequence configuration, residual pressure utilization rate, and adjustment completion criteria.

[0067] In the hydraulic butterfly valve automatic control system, parameters such as the hydraulic power output adaptation table, butterfly valve opening correction data set, flow demand matching table, initial pressure balance scheme, and butterfly valve dynamic adjustment scheme represent the different characteristics of the system's hydraulic and butterfly valve control. These factors and levels are determined through detailed analysis of hydraulic pump output parameters, real-time butterfly valve opening data, flow demand, and pressure fluctuations, and are derived through precise calculations and model derivation. Specifically, the pressure grading parameters, flow control range, temperature-viscosity compensation coefficient, and opening coupling coefficient in the hydraulic power output adaptation table reflect the hydraulic system's pressure and flow control capabilities under different operating conditions. By monitoring the hydraulic pump's output pressure and flow in real time and incorporating the effects of hydraulic oil temperature and viscosity on power transmission, the hydraulic system adaptation table is derived using experimental data and theoretical models to ensure precise control of the system. The opening error factor, response delay parameter, change rate index, and correction weight value in the butterfly valve opening correction data set represent the error caused by opening deviation during the butterfly valve control process and its impact on response time. These characteristics are systematically quantified and corrected by comparing real-time butterfly valve opening data with target opening values, combined with the cumulative effects of errors in historical data. Ultimately, correction weights are generated to optimize the regulation process. The flow demand matching table, which includes graded flow intervals, demand priority levels, fluctuation thresholds, and matching coefficient weights, reflects how resources are optimally allocated based on flow priority and pressure fluctuations under varying flow demand and pressure fluctuation conditions. By analyzing the flow demand and pressure fluctuation characteristics and combining them with the changing patterns of butterfly valve opening, a weighted analysis is performed to determine the optimal matching relationship, ensuring stable system operation during the dynamic regulation phase. The pressure distribution structure, node adjustment sequence, fluctuation correction factor, and flow allocation factor in the initial pressure balancing scheme represent how the system achieves stable control by adjusting the hydraulic system's pressure distribution and flow scheduling. These factors analyze different flow demand and pressure fluctuation states, utilizing priority sorting and fluctuation correction strategies to ensure system pressure balance and regulation effectiveness. The butterfly valve dynamic adjustment scheme includes residual adjustment parameters, execution sequence configuration, residual pressure utilization, and adjustment completion criteria. It aims to adjust the matching order of hydraulic power output and butterfly valve opening in real time based on system monitoring data to fill the pressure fluctuation gap and optimize response time and accuracy. By comparing real-time monitoring data, the gap between flow demand and residual capacity is identified, and dynamic adjustments are then made. The generation of these characteristics and factors relies on the parameters of the hydraulic system and butterfly valve opening obtained through real-time monitoring and data feedback, as well as precise mathematical models and calculation methods, to ensure that the adjustment of each step can maximize the response speed, accuracy, and adjustment consistency of the hydraulic system. Ultimately, through the gradual tuning of system parameters and model derivation, the required characteristic data is formed to ensure that the entire system can perform the adjustment task stably and accurately.

[0068] Specifically, if Figure 2 、 3 As shown, the hydraulic power control module includes:

[0069] The hydraulic characteristics extraction submodule extracts hydraulic power output parameters based on the hydraulic pump output pressure and flow characteristic curve, classifies the hydraulic oil temperature and viscosity influencing factors, and generates a hydraulic power output characteristic table;

[0070] According to the hydraulic pump output pressure and flow characteristic curve, in the hydraulic gate system of a large water conservancy project, the output pressure and flow data of the hydraulic pump under different working conditions are monitored in real time through pressure sensors and flow sensors. For example, when the hydraulic pump speed is 1000 rpm, the output pressure is 15MPa and the flow is 200L / min. When the speed rises to 1200 rpm, the output pressure is 18MPa and the flow is 240L / min. For the collected original pressure-flow data, the PQ curve of the hydraulic pump is drawn with the pressure data as the horizontal axis and the flow data as the vertical axis. The hydraulic power output parameters are extracted through curve fitting methods, such as the least squares method, and the nonlinear relationship expression between pressure and flow is determined. For example, the flow Q=f( P), where f(P) is a cubic polynomial. At the same time, the temperature sensor and viscosity sensor installed in the hydraulic oil tank are used to obtain the temperature (e.g., 45 degrees Celsius) and viscosity (e.g., 32 cSt) data of the hydraulic oil in real time. The data are compared with a preset temperature-viscosity comparison table to quantify the degree of influence under different temperature and viscosity conditions. For example, when the hydraulic oil temperature is between 40-50 degrees Celsius, the viscosity influence factor is set to 0.98, and when the viscosity is between 30-40 cSt, the temperature influence factor is set to 1.02. The influence factors are applied in the subsequent power transmission efficiency calculation, and ultimately a data set containing the hydraulic power output capacity under different speeds, pressures, flows, and hydraulic oil temperatures and viscosities is formed to generate a hydraulic power output characteristic table.

[0071] The power transmission analysis submodule analyzes the impact of hydraulic oil temperature and viscosity on power transmission efficiency based on the hydraulic power output characteristic table, calculates the hydraulic power output adaptation value under different working conditions, and generates a model for the relationship between hydraulic power and butterfly valve opening;

[0072] Based on the hydraulic power output characteristic table, in the hydraulic gate system of a large water conservancy project, the output parameters of the current hydraulic pump and the hydraulic oil temperature and viscosity influencing factors are obtained by consulting the hydraulic power output characteristic table. For example, the current hydraulic pump output pressure is 16MPa, the flow rate is 220L / min, the hydraulic oil temperature is 50 degrees Celsius, and the viscosity is 30cSt. According to historical experimental data and theoretical models, the influence of hydraulic oil temperature on power transmission efficiency can be quantified as follows: when the temperature is higher than 60 degrees Celsius, the efficiency decreases by 2%, and when the temperature is lower than 30 degrees Celsius, the efficiency decreases by 1.5%. The influence of viscosity on power transmission efficiency is quantified as follows: when the viscosity is higher than 40cSt, the efficiency decreases by 1.8%, and when the viscosity is lower than 25cSt, the efficiency decreases by 1.2%. The degree of influence is used as a correction coefficient and multiplied by the initial power transmission efficiency (for example, 90%) to calculate the hydraulic power transmission efficiency under different working conditions. For example, when the temperature is 50 degrees Celsius (no additional efficiency decrease) and the viscosity is 20%, the efficiency decreases by 1.5%. When the temperature is 30 cSt (no additional efficiency drop), the power transmission efficiency remains at 90%. When the temperature is 65 degrees Celsius and the viscosity is 45 cSt, the efficiency is 90% (1-2%) (1-1.8%) = 86.65%. Then, based on the calculated power transmission efficiency, the theoretical output power of the hydraulic pump is multiplied by the efficiency to calculate the actual hydraulic power output adaptation value. For example, the theoretical output power is 58.67, and the actual adaptation value is 52.80. At the same time, by testing the torque and flow required by the gate valve at different openings, the corresponding data of the butterfly valve opening and the required hydraulic power are collected. For example, when the butterfly valve opening is 30%, the required hydraulic power is 15 kW, and when the butterfly valve opening is 60%, the required hydraulic power is 40 kW. Combining the calculated hydraulic power output adaptation value with the butterfly valve opening requirement, a functional relationship between the two is established. For example, through polynomial regression analysis, the hydraulic power is obtained, where is the butterfly valve opening, and a relationship model between hydraulic power and butterfly valve opening is generated.

[0073] The adaptation table generation submodule organizes the hydraulic power output parameters based on the hydraulic power and butterfly valve opening relationship model, analyzes the corresponding relationship with the target butterfly valve opening value, and generates a hydraulic power output adaptation table;

[0074] Based on the relationship model between hydraulic power and butterfly valve opening, in the butterfly valve control application of the hydraulic gate hoist, the hydraulic power output parameters required under different butterfly valve openings are obtained by calling the established relationship model between hydraulic power and butterfly valve opening. For example, according to the model calculation, when the target butterfly valve opening is 25%, the required hydraulic power output is 12kW, and when the target butterfly valve opening is 75%, the required hydraulic power output is 55kW. The calculated hydraulic power output parameters are organized into a data sequence. At the same time, each hydraulic power output parameter is associated with its corresponding target butterfly valve opening value to form a series of parameter pairs, such as (12kW, 25%), (55kW, 75%). A target opening step is set, for example, every 5% opening is used as a step, and traversal is performed from 0% to 100%. For the target opening value corresponding to each step, the corresponding hydraulic power output value is queried or calculated to generate a detailed hydraulic power output adaptation table.

[0075] Specifically, if Figure 2 、 4 As shown, the opening detection and correction module includes:

[0076] The opening deviation extraction submodule extracts the deviation between the real-time opening value and the target opening of the butterfly valve based on the hydraulic power output adaptation table, records the opening change rate and response time data, and generates an opening deviation data table;

[0077] Based on the hydraulic power output adaptation table, during the operation of the butterfly valve of the hydraulic gate hoist, the actual opening value of the butterfly valve is collected in real time. For example, the target opening is 50%, and the real-time opening value fed back by the sensor is 48%. Then, the real-time opening value is compared with the value under the corresponding target opening in the hydraulic power output adaptation table to calculate the opening deviation of the butterfly valve. For example, the opening deviation of 48%-50%=-2% is calculated. At the same time, the system records the time it takes for the butterfly valve opening to change from 48% to the target 50% with a sampling period of 100 milliseconds. For example, in a calibration process, it took 150 milliseconds for the opening to change from 48% to 50%. The calculated opening change rate is (50%-48%) / 150=0.02%, and the data is recorded to generate an opening deviation data table.

[0078] The error accumulation quantification submodule quantifies the cumulative effect of the opening error based on the opening deviation data table, analyzes the difference between the hydraulic power distribution and the opening demand ratio, and generates an opening error cumulative effect table;

[0079] Based on the opening deviation data table, in the precise control of the butterfly valve of the hydraulic gate hoist, by statistically analyzing the historical data in the opening deviation data table, the sum of the opening deviation at each time point and the deviation at the previous time point is calculated. For example, if the deviation at the previous time point is -2% and the deviation at the current time point is -0.5%, the cumulative deviation is -2% + (-0.5%) = -2.5%. In this way, the cumulative effect of the opening error is quantified and an opening error accumulation threshold is set. For example, when the error accumulation reaches 5%, it is considered that there is a significant error accumulation effect. By analyzing the proportional relationship between the actual output value of hydraulic power under different working conditions and the butterfly valve opening requirement, for example, in the process of the butterfly valve opening from 20% to 30%, the hydraulic power demand increases from 10kW to 18kW, while the actual hydraulic power output is 11kW and 17kW, which indicates that there is insufficient power. The difference between the actual hydraulic power output and the opening requirement ratio is calculated. For example, when the opening requirement is 30%, if the actual hydraulic power is 17kW, and the adaptation table requires 18kW, the difference is 1kW, and the cumulative effect table of the opening error is generated.

[0080] The correction weight summary submodule extracts the opening deviation magnitude and correction frequency based on the opening error cumulative effect table, filters the high-frequency error segments and marks the deviation direction, summarizes the opening correction weights, and generates a butterfly valve opening correction data set;

[0081] Based on the cumulative effect table of opening errors, in the adaptive control of the butterfly valve of the hydraulic gate, by traversing the data in the cumulative effect table of opening errors, the magnitude of each opening deviation is extracted, for example, one deviation magnitude is 2%, another is 0.5%, and the correction frequency of the deviation. For example, in the past hour, a 2% deviation occurred 15 times, and a 0.5% deviation occurred 30 times. According to the preset frequency threshold, for example, the threshold is set to 10 times / hour, and the high-frequency error segment with a frequency higher than the threshold is screened out. For example, the frequent opening errors in the 0%-5% opening range Positive deviations occur, and negative deviations frequently occur in the 90%-100% opening range, and the direction of the deviation is marked. For example, a positive deviation indicates that the actual opening is greater than the target opening, and a negative deviation indicates that the actual opening is less than the target opening. For the high-frequency error section, the opening correction weight is summarized according to the deviation magnitude and correction frequency. For example, for a 2% positive deviation, if the correction frequency is very high, a larger correction weight of 0.8 is assigned. For a 0.5% negative deviation, if the correction frequency is low, a smaller correction weight of 0.2 is assigned. Finally, a butterfly valve opening correction data set is generated.

[0082] Specifically, if Figure 2 、 5 As shown, the traffic dynamic matching module includes:

[0083] The flow demand extraction submodule extracts flow demand distribution parameters based on the butterfly valve opening correction data set, classifies flow demand priority data, and generates a flow demand distribution table;

[0084] Based on the butterfly valve opening correction data set, in the precise flow control of the butterfly valve of the water conservancy hub, by reading the butterfly valve opening value at each time point recorded in the butterfly valve opening correction data set, for example, at a certain time point, the butterfly valve opening correction data set shows that the target opening of the butterfly valve is 60%, and the actual opening after correction is 59.5%. According to the corrected butterfly valve opening value, combined with the known butterfly valve flow characteristic curve, for example, the butterfly valve opening and the flow are in a nonlinear relationship. When the opening is 60%, the flow is 1200 cubic meters / hour, and when the opening is 59.5%, the flow is 1180 cubic meters / hour. The current working conditions are extracted. Flow demand distribution parameters, for example, the flow demand is 1180 cubic meters / hour. At the same time, according to the system operation strategy, different flow demands are given priority. For example, maintaining the priority of the main pipeline flow is higher than the priority of the auxiliary pipeline flow. The flow demands in the system are graded according to their importance. For example, the flood discharge flow priority is set to the highest (level 1), the ecological flow priority is set to the medium (level 2), and the irrigation flow priority is set to the lowest (level 3). The flow demand priority data is classified to generate a flow demand distribution table. This table clearly lists the flow demand at each time point and its corresponding priority.

[0085] The pressure fluctuation analysis submodule calculates the pressure node fluctuation state value based on the flow demand distribution table, combined with the pressure fluctuation characteristics of the hydraulic system and the change law of the butterfly valve opening, and generates a pressure fluctuation state table;

[0086] The pressure node fluctuation state value adopts the formula:

[0087] ;

[0088] in, Represents the fluctuation state value of the pressure node, represents the pressure change in the i-th time period, Represents the change in valve opening for each pressure fluctuation, represents the time interval, represents the flow rate change, represents the initial flow, and n represents the number of fluctuation periods;

[0089] The pressure node fluctuation state value is a comprehensive indicator used to measure the pressure fluctuation and regulation response capabilities of key pressure nodes in a hydraulic system in different time periods. By calculating parameters such as the pressure change, valve opening change, time interval, flow change, and initial flow in each time period, it comprehensively reflects the pressure stability and flow response characteristics of the system during the dynamic regulation process. When this value is high, it means that the system has severe pressure fluctuations and large regulation instability at this node; when this value is low, it means that the system is running smoothly and the regulation is precise. This indicator is widely used in flow demand analysis and pressure balance optimization. It is an important basis for achieving precise control of hydraulic butterfly valves and ensuring the efficient and stable operation of hydraulic systems.

[0090] Based on the flow demand distribution table, combined with the pressure fluctuation characteristics of the hydraulic system and the change law of the butterfly valve opening, the flow data in the flow demand distribution table is analyzed in the hydraulic system of the water conservancy hub. For example, according to the flow demand distribution table, the system needs to change the flow rate from 1200 cubic meters / hour to 1500 cubic meters / hour within a certain period of time. At the same time, the pressure changes of each key node of the hydraulic system are monitored in real time through high-precision pressure sensors. For example, during the rapid opening process of the butterfly valve, the upstream pressure drops from 5MPa to 4.5MPa, and the downstream pressure rises from 2MPa to 2.5MPa, as well as the change law of the butterfly valve opening, for example, the time for the butterfly valve to change from 50% opening to 70% opening is 2 seconds. The data is used to calculate the pressure node fluctuation state value, among which the pressure node fluctuation state value Represents the fluctuation state value of the pressure node, Representative The pressure change within a time period, Represents the change in valve opening for each pressure fluctuation, represents the time interval, represents the flow rate change, represents the initial flow rate, Represents the number of fluctuation periods. This formula is designed to quantify the severity of pressure fluctuations and the response to flow changes. Its core is to evaluate the impact of pressure fluctuation amplitude and valve opening changes on fluctuations through the numerator, while the denominator normalizes the fluctuations through the pressure change amplitude and relative flow change, thereby more accurately reflecting the pressure stability of the system when the flow changes. For example, during a flood discharge process, the system monitored 5 fluctuation periods, namely , the pressure change in each period (Unit: MPa) are: , , , , , the change in valve opening for each pressure fluctuation for (i.e. 2%), time interval for Seconds, initial flow for , the corresponding flow change for ,but:

[0091] ;

[0092] The results show that the pressure fluctuation state value under the current working conditions is 5.214, which means that the hydraulic system has relatively significant pressure fluctuations when given flow changes and valve opening changes, requiring further attention and optimization. If the preset pressure fluctuation state value threshold is 4.0, then 5.214 means that the pressure fluctuation exceeds the acceptable range. This pressure fluctuation state value will be used to evaluate the stability of the system and guide subsequent pressure balance optimization to generate a pressure fluctuation state table.

[0093] The hierarchical weighted analysis submodule performs a multi-dimensional comparison of flow demand and pressure fluctuation based on the pressure fluctuation state table, screens the flow demand distribution adaptation relationship, and generates a flow demand matching table;

[0094] Based on the pressure fluctuation state table, in the dynamic matching of the flow of the hydraulic system of the water conservancy hub, a multi-dimensional comparison is performed on the pressure fluctuation state value at each time point in the pressure fluctuation state table. For example, if the current pressure fluctuation state value is 5.214 and the flow demand is 1500 cubic meters / hour, at the same time, according to the preset weight distribution rules, different weights are assigned to different flow demands and pressure fluctuation states. For example, the weight corresponding to high-priority flow demand is 0.7, the medium priority is 0.2, and the low priority is 0.1. When the pressure fluctuation state value is higher than the threshold, for example, higher than 4.0, an additional weight of 0.1 is added to comprehensively evaluate the flow demand distribution parameters and the pressure fluctuation state value. For example, the flow demand and the pressure fluctuation state value are compared. Multiplication operation, and considering the respective weights, a comprehensive evaluation index is obtained. For example, the flow demand under high priority flow (weight 0.7) is 1500 cubic meters / hour, the pressure fluctuation state value is 5.214, and the comprehensive index is 5474.7. The flow demand under medium priority flow (weight 0.2) is 800 cubic meters / hour, the pressure fluctuation state value is 3.5, and the comprehensive index is 560. Then, according to the size of the comprehensive evaluation index, the adaptation relationship that can minimize the system pressure fluctuation and meet the flow demand distribution is screened out. For example, among all the flow distribution schemes, the scheme with the lowest comprehensive index is selected to generate a flow demand matching table. This table records in detail the best matching schemes for different flow demands under various pressure fluctuation conditions.

[0095] Specifically, if Figure 2 、6 As shown, the pressure balance optimization module includes:

[0096] The priority sorting submodule extracts the flow peak position and pressure difference threshold based on the flow demand matching table, analyzes the flow contribution under unit pressure difference, and generates a flow priority sorting table;

[0097] Based on the flow demand matching table, in the hydraulic gate hoist system, by analyzing the data in the flow demand matching table, the flow peak position under different working conditions is extracted. For example, when the gate hoist is started, the flow demand rises rapidly from 0 to 2000 cubic meters / hour within 3 seconds, and 2000 cubic meters / hour is the peak value. At the same time, a pressure difference threshold is set. For example, the threshold of the pressure difference at both ends of the main pipeline is set to 0.5MPa. When the pressure difference exceeds this value, it is considered that there is a pressure imbalance. By calculating the flow contribution of each flow channel under unit pressure difference, for example, while maintaining a pressure difference of 0.1MPa, the main channel can provide a flow of 100 cubic meters / second, and the bypass channel can provide a flow of 20 cubic meters / second, thereby determining the actual contribution of each flow channel to the overall flow and generating a flow priority sorting table.

[0098] The pressure distribution identification submodule extracts the pressure change trajectory of the main channel node based on the flow priority sorting table, identifies the pressure difference balance point and offset direction, and generates a pressure distribution relationship table;

[0099] Based on the flow priority sorting table, in the hydraulic system of the water conservancy hub, the pressure distribution under different flow priorities is obtained by referring to the flow priority sorting table. For example, when the high-priority flow channel is opened, the pressure change trajectory of the main channel node shows a decrease first and then an increase. The pressure data is collected in real time by installing pressure sensors at key nodes of the main channel (such as before and after the valve and at the pump outlet). For example, the pressure of the main channel node A is monitored to drop from 10MPa to 8MPa, and then rise back to 9.5MPa, and the pressure change trajectory is recorded. At the same time, the pressure difference balance point is identified by analyzing the trajectory. For example, when the pressure difference between the main channel node A and node B is stable at 0.2MPa, it is the balance point, and the pressure deviation direction is marked. For example, if the actual pressure difference is higher than 0.2MPa, it is marked as a positive deviation, and if it is lower than 0.2MPa, it is marked as a negative deviation, and a pressure distribution relationship table is generated.

[0100] The fluctuation adjustment submodule adjusts the distribution order based on the pressure node fluctuation situation based on the pressure distribution relationship table, extracts the frequency and amplitude sequence of node pressure difference changes, counts the offset amplitude and duration of the pressure difference exceeding the limit node, divides the stable interval and fluctuation transition section, selects the main channel access sequence and bypass auxiliary channel connection nodes, and generates an initial pressure balance plan;

[0101] Based on the pressure distribution relationship table, in the pressure balance optimization of the hydraulic system of the water conservancy hub, by identifying the pressure node fluctuations recorded in the pressure distribution relationship table, for example, the pressure fluctuation amplitude of node A is large and the duration is long, combined with the system preset adjustment strategy, the allocation order of each channel of the hydraulic system is adjusted, for example, the main channel with large fluctuations is adjusted first, and the bypass channel with small fluctuations is adjusted secondly. Through high-frequency sampling, for example, sampling once every 10 milliseconds, the frequency of pressure difference changes at each node is extracted, for example, the pressure difference of node A changes 15 times in 1 second, and the amplitude sequence, for example, the pressure difference change amplitude is 0.1MPa, 0.05MPa, 0.12MPa, etc., the offset amplitude of the pressure difference exceeding the limit node is counted, for example, The pressure difference at node B exceeds the 0.5MPa threshold by 0.1MPa, and the number of times it lasts, for example, for 3 seconds. Based on statistical data, the working state of the hydraulic system is divided into a stable interval, for example, an interval in which the pressure difference fluctuation is less than 0.1MPa, and a fluctuation transition section, for example, an interval in which the pressure difference fluctuation is greater than 0.1MPa and less than 0.5MPa. By analyzing historical data, the main channel access sequence that can maintain the system pressure balance under different working modes is screened out, for example, main channel 1 is opened first in flood discharge mode, and main channel 2 is opened first in power generation mode, as well as the bypass auxiliary channel connection node. For example, when the main channel pressure fluctuates violently, bypass channel 3 is connected to generate an initial pressure balance plan.

[0102] Specifically, if Figure 2 、 7 As shown, the actuator self-matching adjustment module includes:

[0103] The state monitoring submodule collects pressure node values ​​and butterfly valve opening feedback based on the initial pressure balance solution, records the jump time and deviation amplitude, marks the pressure mutation and opening offset position, and generates a state monitoring data table;

[0104] Based on the initial pressure balance scheme, in the hydraulic control system of the water conservancy gate hoist, the pressure node values ​​preset in the initial pressure balance scheme are collected in real time. For example, the scheme requires the main pipeline pressure to be maintained at 10MPa, as well as the butterfly valve opening feedback data, for example, the actual opening of the butterfly valve is 50%. At the same time, the precise moment when the pressure or opening jumps during the operation of the gate hoist is recorded, for example, at time T1, the pressure drops sharply from 10MPa to 8MPa, and the corresponding deviation amplitude, for example, the pressure deviation amplitude is 2MPa, and the location where the pressure mutation occurs is marked, for example, it occurs at the pump outlet, and the location of the opening offset, for example, it occurs at the butterfly valve core, to generate a status monitoring data table.

[0105] The demand comparison submodule extracts the time points corresponding to unmet flow rates based on the status monitoring data table, identifies the remaining hydraulic power and instantaneous gaps, matches the target gaps with the power segments, and generates a demand comparison result table.

[0106] Based on the status monitoring data table, in the hydraulic control system of the water conservancy gate hoist, by analyzing the pressure mutation and opening offset data recorded in the status monitoring data table, the corresponding time point where the flow demand is not met is identified. For example, at time T1, the pressure drops suddenly, resulting in an instantaneous flow shortage. At this time, time T1 is recorded. At the same time, by calculating the operating parameters and current load of the hydraulic pump, the current power surplus of the hydraulic system is identified. For example, the maximum output power of the hydraulic pump is 100kW, and the current actual output power is 60kW, then the power surplus is 40kW, and the power required for the instantaneous flow gap is calculated. For example, at time T1, the flow gap requires an additional 15kW of power. The target gap is matched with the power section of the hydraulic system. For example, it is identified that the power gap of 15kW belongs to the power section that can be controlled by the system, and a demand comparison result table is generated.

[0107] Based on the demand comparison result table, the dynamic adjustment submodule fills pressure fluctuation gaps by adjusting the matching sequence between hydraulic power output and butterfly valve opening, identifies power gap nodes and response lag segments, extracts unexecuted sections and backup paths, updates the hydraulic output timing and butterfly valve control curve, and generates a dynamic adjustment plan for the butterfly valve.

[0108] Based on the demand comparison result table, the dynamic adjustment of the hydraulic system of the hydraulic gate hoist is carried out by analyzing the data in the demand comparison result table to identify hydraulic power gap nodes, such as a 15kW power gap in the main pipeline flow at time T1, and response lag segments, such as a 0.2-second delay from detecting the gap to starting to replenish power. The hydraulic power output is adjusted by precisely controlling the speed or displacement of the hydraulic pump, and the butterfly valve opening is adjusted, for example, increasing the butterfly valve opening from 50% to 52%, to fill the pressure fluctuation gap. For example, to compensate for the previous pressure drop at time T1. At the same time, unexecuted sections are extracted, such as the duration of a certain flow demand not being fully met, and backup paths, such as opening the auxiliary hydraulic circuit. Based on the analysis results, the hydraulic output timing is updated, for example, increasing the output power of the hydraulic pump at time T1 to 75kW, and adjusting the control curve of the butterfly valve, for example, quickly increasing the butterfly valve opening at time T1 to 52%, to generate a dynamic adjustment plan for the butterfly valve.

[0109] See also Figure 8 The hydraulic butterfly valve automatic adjustment method is based on the above hydraulic butterfly valve automatic adjustment system and includes the following steps:

[0110] S1: Extract hydraulic power output parameters and butterfly valve target opening values ​​based on the hydraulic pump output pressure and flow characteristic curve, normalize the hydraulic oil temperature and viscosity influencing factors, match the hydraulic power and target opening relationship, and generate a hydraulic power output adaptation table;

[0111] S2: Based on the hydraulic power output adaptation table, the target and real-time opening deviation values ​​are extracted, the offset amplitude and response duration are calculated, the opening change rate and response time data are filtered, and a butterfly valve opening correction data set is generated;

[0112] S3: Based on the butterfly valve opening correction data set, the flow change frequency and peak nodes per unit time are extracted, the pressure difference response values ​​are correlated to identify abnormal transition points and stable recovery points, the echo time and jump boundary within the pressure fluctuation range are extracted, and the flow demand matching table is generated;

[0113] S4: Based on the flow demand matching table, analyze the high-frequency flow priority segments and fluctuation peak positions, identify step change nodes, reconstruct the main channel and compensation path, and build the initial flow path and pressure balance solution;

[0114] S5: Based on the initial flow path and pressure balance scheme, filter out the parameters that do not meet the flow demand and the fluctuation state values ​​of key nodes, extract the offset frequency peak and correct the opening adjustment control logic to generate a dynamic adjustment scheme for the butterfly valve.

[0115] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. Hydraulic butterfly valve automatic adjustment system, characterized by: The system comprises: The hydraulic power control module extracts hydraulic power output parameters based on the hydraulic pump output pressure and flow characteristic curve, analyzes the impact of hydraulic oil temperature and viscosity on power transmission, organizes the relationship model between hydraulic power and butterfly valve opening, and obtains the hydraulic power output adaptation table; The opening detection and correction module extracts the deviation between the real-time opening value of the butterfly valve and the target opening based on the hydraulic power output adaptation table, identifies the opening change rate and response time, quantifies the cumulative effect of the opening error, summarizes the opening correction weight, and obtains the butterfly valve opening correction data set; The flow dynamic matching module extracts the flow demand distribution parameters based on the butterfly valve opening correction data set, performs a hierarchical weighted analysis based on the hydraulic system pressure fluctuation characteristics and the butterfly valve opening variation law, and obtains a flow demand matching table; The pressure balance optimization module is based on the flow demand matching table, sorted according to flow priority and pressure demand ratio, identifies the pressure distribution relationship between the hydraulic system and the butterfly valve, adjusts the distribution order according to the pressure node fluctuation, and constructs an initial pressure balance plan.

2. The hydraulic butterfly valve automatic adjustment system according to claim 1 is characterized in that: The hydraulic power output adaptation table includes pressure classification parameters, flow control range, temperature-viscosity compensation coefficient, and opening coupling coefficient; the butterfly valve opening correction data set includes opening error factor, response delay parameter, change rate index, and correction weighted value; the flow demand matching table includes graded flow interval, demand priority level, fluctuation threshold, and matching coefficient weight; the initial pressure balance scheme includes pressure distribution structure, node adjustment order, fluctuation correction factor, and flow distribution factor.

3. The hydraulic butterfly valve automatic adjustment system according to claim 1, characterized in that: The hydraulic power control module includes: The hydraulic characteristics extraction submodule extracts hydraulic power output parameters based on the hydraulic pump output pressure and flow characteristic curve, classifies the hydraulic oil temperature and viscosity influencing factors, and generates a hydraulic power output characteristic table; The power transmission analysis submodule analyzes the influence of hydraulic oil temperature and viscosity on power transmission efficiency based on the hydraulic power output characteristic table, calculates the hydraulic power output adaptation value under different working conditions, and generates a hydraulic power and butterfly valve opening relationship model; The adaptation table generation submodule arranges the hydraulic power output parameters based on the hydraulic power and butterfly valve opening relationship model, analyzes the corresponding relationship with the target butterfly valve opening value, and generates a hydraulic power output adaptation table.

4. The hydraulic butterfly valve automatic adjustment system according to claim 3 is characterized in that: The opening detection and correction module includes: The opening deviation extraction submodule extracts the deviation between the real-time opening value and the target opening of the butterfly valve based on the hydraulic power output adaptation table, records the opening change rate and response time data, and generates an opening deviation data table; The error accumulation quantification submodule quantifies the opening error accumulation effect based on the opening deviation data table, analyzes the difference between the hydraulic power distribution and the opening demand ratio, and generates an opening error accumulation effect table; The correction weight summarization submodule extracts the opening deviation magnitude and correction frequency based on the opening error cumulative effect table, filters the high-frequency error section and marks the deviation direction, summarizes the opening correction weight, and generates a butterfly valve opening correction data set.

5. The hydraulic butterfly valve automatic adjustment system according to claim 4 is characterized in that: The traffic dynamic matching module includes: The flow demand extraction submodule extracts flow demand distribution parameters based on the butterfly valve opening correction data set, classifies flow demand priority data, and generates a flow demand distribution table; The pressure fluctuation analysis submodule calculates the pressure node fluctuation state value based on the flow demand distribution table, combined with the pressure fluctuation characteristics of the hydraulic system and the change law of the butterfly valve opening, and generates a pressure fluctuation state table; The hierarchical weighted analysis submodule performs a multi-dimensional comparison between flow demand and pressure fluctuation based on the pressure fluctuation state table, screens the flow demand distribution adaptation relationship, and generates a flow demand matching table.

6. The hydraulic butterfly valve automatic adjustment system according to claim 5, characterized in that: The pressure node fluctuation state value adopts the formula: ； in, Represents the pressure node fluctuation state value, represents the pressure change in the i-th time period, Represents the change in valve opening for each pressure fluctuation, represents the time interval, represents the flow rate change, represents the initial flow, and n represents the number of fluctuation periods.

7. The hydraulic butterfly valve automatic adjustment system according to claim 5, characterized in that: The pressure balance optimization module includes: The priority sorting submodule extracts the flow peak position and the pressure difference threshold based on the flow demand matching table, analyzes the flow contribution under the unit pressure difference, and generates a flow priority sorting table; The pressure distribution identification submodule extracts the pressure change trajectory of the main channel node based on the flow priority sorting table, identifies the pressure difference balance point and the offset direction, and generates a pressure distribution relationship table; Based on the pressure distribution relationship table, the fluctuation adjustment submodule adjusts the distribution order according to the pressure node fluctuation situation, extracts the frequency and amplitude sequence of node pressure difference changes, counts the offset amplitude and duration of the pressure difference exceeding the limit node, divides the stable interval and the fluctuation transition section, screens the main channel access sequence and the bypass auxiliary channel connection nodes, and generates an initial pressure balance plan.

8. The hydraulic butterfly valve automatic adjustment system according to claim 1, characterized in that: The system also includes an actuator self-matching adjustment module: Based on the initial pressure balancing scheme, the actuator self-matching adjustment module monitors the hydraulic system pressure status and the butterfly valve opening execution, compares the unmet flow demand with the remaining hydraulic capacity in real time, and fills the pressure fluctuation gap by adjusting the hydraulic power output and the butterfly valve opening matching sequence, thereby generating a dynamic adjustment scheme for the butterfly valve; The butterfly valve dynamic adjustment scheme includes residual adjustment parameters, execution sequence configuration, residual pressure utilization rate, and adjustment completion criteria.

9. The hydraulic butterfly valve automatic adjustment system according to claim 8, characterized in that: The actuator self-matching adjustment module includes: Based on the initial pressure balance scheme, the state monitoring submodule collects pressure node values ​​and butterfly valve opening feedback, records the jump time and deviation amplitude, marks the pressure mutation and opening offset position, and generates a state monitoring data table; The demand comparison submodule extracts the time points corresponding to the unsatisfied flow rates based on the state monitoring data table, identifies the remaining hydraulic power and the instantaneous gap, matches the target gap with the power segment, and generates a demand comparison result table; Based on the demand comparison result table, the dynamic adjustment submodule fills the pressure fluctuation gap by adjusting the matching order of hydraulic power output and butterfly valve opening, identifies power gap nodes and response lag segments, extracts unexecuted sections and backup paths, updates the hydraulic output timing and butterfly valve control curve, and generates a dynamic adjustment plan for the butterfly valve.

10. Automatic adjustment method of hydraulic butterfly valve, characterized in that: The method is used to implement the hydraulic butterfly valve automatic adjustment system according to any one of claims 1 to 9, comprising the following steps: S1: Extract hydraulic power output parameters and butterfly valve target opening values ​​based on the hydraulic pump output pressure and flow characteristic curve, normalize the hydraulic oil temperature and viscosity influencing factors, match the hydraulic power and target opening relationship, and generate a hydraulic power output adaptation table; S2: Based on the hydraulic power output adaptation table, extract the target and real-time opening deviation value, calculate the offset amplitude and response duration, filter the opening change rate and response time data, and generate a butterfly valve opening correction data set; S3: Based on the butterfly valve opening correction data set, the flow change frequency and peak nodes per unit time are extracted, the pressure difference response value is correlated to identify the abnormal transition point and the stable recovery point, the echo time and jump boundary within the pressure fluctuation range are extracted, and the flow demand matching table is generated; S4: Based on the flow demand matching table, analyze the high-frequency flow priority segments and fluctuation peak positions, identify step change nodes, reconstruct the main channel and compensation path, and build an initial flow path and pressure balance solution; S5: Based on the initial flow path and pressure balance solution, filter out the parameters that do not meet the flow demand and the fluctuation state values ​​of key nodes, extract the offset frequency peak and correct the opening adjustment control logic to generate a dynamic adjustment solution for the butterfly valve.

Images