High-precision execution method and system for multi-cylinder synchronous control

Abstract

This invention relates to the field of multi-cylinder synchronous control technology, and particularly to a high-precision execution method and system for multi-cylinder synchronous control. The method includes the following steps: acquiring design data of a multi-cylinder hydraulic lifting equipment, and constructing a multi-cylinder operation simulation model based on the geometric structure and design data; estimating the gate's dynamic load exceeding limits, and accordingly detecting the increase in gate structural distortion, monitoring the growth trend of the gate's resistance; analyzing the multi-cylinder operation simulation model based on the growth of the gate's resistance, determining the growth trend of local cylinder mechanical degradation, and accordingly detecting hydraulic oil flow control distortion data; detecting multi-cylinder stroke deviation based on local cylinder mechanical degradation and hydraulic oil flow distortion, identifying abnormal trends in multi-cylinder synchronization, and performing optimization processing to obtain optimized multi-cylinder synchronization data; this invention achieves more efficient multi-cylinder synchronous control through multi-cylinder synchronous control.

Description

Technical Field

[0001] This invention relates to the field of multi-cylinder synchronous control technology, and in particular to a high-precision execution method and system for multi-cylinder synchronous control. Background Technology

[0002] Multi-cylinder hydraulic jacking equipment is widely used in gate opening and closing, heavy load handling, and high-precision synchronous drive scenarios. However, existing multi-cylinder hydraulic control methods generally rely on a single hydraulic or mechanical transmission scheme, which suffers from insufficient synchronization accuracy, significant load coupling effects, easy mechanical degradation of local cylinders, and distortion of hydraulic oil flow. Under high loads and complex operating conditions, a single control method is difficult to effectively cope with synchronization anomalies caused by cylinder stroke deviations and load fluctuations, easily leading to uneven gate opening and closing, increased mechanical damage, and increased energy consumption of the hydraulic system. In addition, existing systems lack comprehensive monitoring and prediction methods for multi-cylinder mechanical degradation, hydraulic flow distortion, and load coupling changes, making it impossible to achieve dynamic compensation and refined optimization control, resulting in multi-cylinder execution accuracy failing to meet long-term operating requirements. With the improvement of automation levels in hydropower stations and the increasing demand for high-precision hydraulic control, there is an urgent need for a method that can achieve multi-cylinder synchronization under complex operating conditions. Summary of the Invention

[0003] Therefore, it is necessary to provide a high-precision execution method and system for multi-cylinder synchronous control to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, a high-precision execution method for multi-cylinder synchronous control includes the following steps: Step S1: Obtain the design data of the multi-cylinder hydraulic jacking equipment; identify the geometric structure data of the multi-cylinder equipment based on the design data; construct a multi-cylinder operation simulation model based on the geometric structure data and the design data of the multi-cylinder hydraulic jacking equipment. Step S2: Obtain the operation log of the dam-type hydropower station; estimate the dynamic load over-limit status of the gate based on the operation log of the dam-type hydropower station; detect the increase in gate structural torsion based on the dynamic load over-limit status of the gate; monitor the increase in gate resistance based on the increase in gate structural torsion. Step S3: Determine the local mechanical degradation growth trend of the cylinder body based on the gate's resistance overcoming growth condition in the multi-cylinder operation simulation model; detect hydraulic oil flow control distortion data based on the local mechanical degradation growth trend of the cylinder body; Step S4: Detect the degree of multi-cylinder stroke deviation based on the local cylinder mechanical degradation growth trend; identify the multi-cylinder synchronization anomaly trend based on the multi-cylinder stroke deviation degree and hydraulic oil flow control distortion data; optimize the multi-cylinder synchronization anomaly trend to obtain multi-cylinder synchronization optimization data.

[0005] The present invention also provides a high-precision execution system for multi-cylinder synchronous control, used to execute the high-precision execution method for multi-cylinder synchronous control as described above, the high-precision execution system for multi-cylinder synchronous control comprising: The model building module is used to acquire the design data of the multi-cylinder hydraulic jacking equipment; identify the geometric structure data of the multi-cylinder equipment based on the design data; and build a multi-cylinder operation simulation model based on the geometric structure data and the design data. The resistance growth monitoring module is used to acquire the operation logs of dam-type hydropower stations; estimate the dynamic load over-limit status of the gates based on the operation logs; detect the increase in gate structural torsion based on the gate dynamic load over-limit status; and monitor the increase in gate resistance based on the increase in gate structural torsion. The flow control distortion detection module is used to determine the local mechanical degradation growth trend of the cylinder based on the gate's resistance overcoming growth condition in the multi-cylinder operation simulation model; and to detect hydraulic oil flow control distortion data based on the local mechanical degradation growth trend. The optimization processing module is used to detect the degree of deviation in the multi-cylinder operating stroke based on the growth trend of local cylinder mechanical degradation; to identify the abnormal trend of multi-cylinder synchronization based on the degree of deviation in the multi-cylinder operating stroke and the hydraulic oil flow control distortion data; and to optimize the abnormal trend of multi-cylinder synchronization to obtain multi-cylinder synchronization optimization data.

[0006] This invention, through the aforementioned steps, enables precise synchronous control of multi-cylinder hydraulic lifting equipment under complex working conditions. Step S1 acquires equipment design data and constructs a simulation model, providing a precise structural and dynamic basis for subsequent analysis. Step S2, through gate dynamic load and structural torsion detection, can identify external disturbances and load changes affecting the multi-cylinder system during hydropower station operation in real time. Step S3 combines gate resistance changes with the multi-cylinder simulation model to accurately determine the local mechanical degradation trend of the cylinders and quantify hydraulic oil flow distortion, ensuring early identification of cylinder performance degradation. Step S4 further combines hydraulic control deviation and cylinder stroke deviation to identify abnormal trends in multi-cylinder synchronization and improves multi-cylinder synchronization accuracy through optimization. Overall, this method can achieve high-precision, low-deviation synchronous operation of multi-cylinder systems under electro-hydraulic-mechanical dual redundancy conditions, effectively reducing the risk of mechanical damage, improving hydraulic execution efficiency and equipment reliability, and providing data support and decision-making basis for long-term stable operation. Attached Figure Description

[0007] Figure 1 A flowchart illustrating the steps of a high-precision execution method for multi-cylinder synchronous control; Figure 2 for Figure 1 A detailed flowchart illustrating the implementation steps of step S2. Figure 3for Figure 1 A detailed flowchart illustrating the implementation steps of step S3. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0008] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0009] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0010] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0011] To achieve the above objectives, please refer to Figures 1 to 3 A high-precision execution method for multi-cylinder synchronous control includes the following steps: Step S1: Obtain the design data of the multi-cylinder hydraulic jacking equipment; identify the geometric structure data of the multi-cylinder equipment based on the design data; construct a multi-cylinder operation simulation model based on the geometric structure data and the design data of the multi-cylinder hydraulic jacking equipment. In this embodiment of the invention, gate operation monitoring data is acquired, including cylinder pressure data, gate displacement data, and changes in rotational friction. Based on the acquired data, an initial state model of the gate is constructed to reflect the force and motion characteristics of the gate under normal operating conditions. In this model, the changing trend of friction during the gate's opening and closing process needs to be extracted, and the deformation data of the gate structure needs to be recorded, thereby obtaining a multidimensional dataset describing the basic operating state of the gate. The output of this step is the initial operating state data of the gate, providing input for subsequent structural damage and reliability analysis.

[0012] Step S2: Obtain the operation log of the dam-type hydropower station; estimate the dynamic load over-limit status of the gate based on the operation log of the dam-type hydropower station; detect the increase in gate structural torsion based on the dynamic load over-limit status of the gate; monitor the increase in gate resistance based on the increase in gate structural torsion. In this embodiment of the invention, mechanical damage detection is performed on the gate cylinder structure based on the initial operating state data from step S1. A stress concentration analysis method is used, combined with cylinder surface strain monitoring data, to identify localized material strength degradation or structural crack propagation. By comparing historical operating data, the damage evolution trend of the cylinder is extracted, and a damage development prediction model is established. During the modeling process, a damage factor is used to quantify the structural performance degradation. ; in This indicates the amount of local stress change. This indicates the maximum allowable stress of the material. This step outputs mechanical damage data for the cylinder structure, used to assess the overall operational stability of the gate.

[0013] Step S3: Determine the local mechanical degradation growth trend of the cylinder body based on the gate's resistance overcoming growth condition in the multi-cylinder operation simulation model; detect hydraulic oil flow control distortion data based on the local mechanical degradation growth trend of the cylinder body; In this embodiment of the invention, the reliability of gate operation is comprehensively evaluated based on cylinder structure damage data and the increase in gate friction. This step first correlates friction data with the gate's opening and closing stroke to analyze whether excessive friction leads to increased energy consumption or operational obstruction during opening and closing. Secondly, structural damage data is compared with gate torsional deformation to identify potential structural instability risks. By establishing a correlation matrix, the coupling relationship between abnormal friction and structural damage is determined, and then the risk coefficient during gate operation is calculated. The output is the gate operation risk assessment data.

[0014] Step S4: Detect the degree of multi-cylinder stroke deviation based on the local cylinder mechanical degradation growth trend; identify the multi-cylinder synchronization anomaly trend based on the multi-cylinder stroke deviation degree and hydraulic oil flow control distortion data; optimize the multi-cylinder synchronization anomaly trend to obtain multi-cylinder synchronization optimization data.

[0015] In this embodiment of the invention, gate operation safety is predicted and warned based on risk assessment data. This step compares real-time operation data with risk thresholds to determine whether the gate will experience opening / closing failure, structural damage, or excessive energy consumption in future operation cycles. The prediction method combines statistical probability analysis and trend extrapolation models to ensure that the warning results reflect the true risk level. The final output is a gate operation safety prediction report, providing a basis for subsequent operation and maintenance decisions.

[0016] Preferably, step S1 includes the following steps: Step S1 includes the following steps: Step S11: Obtain design data for the multi-cylinder hydraulic jacking equipment; In this embodiment of the invention, the high-precision execution method for multi-cylinder synchronous control first acquires the design data of the multi-cylinder hydraulic jacking equipment. This design data should include the number of cylinders, cylinder geometric parameters (including cylinder diameter, cylinder length, stroke, and piston rod diameter), installation position coordinates, installation angle, and support point spacing. Simultaneously, design indicators related to hydraulic transmission need to be collected, such as rated pressure, rated flow rate, valve port size, flow coefficient, and the diameter and length of the oil supply pipeline. To ensure data accuracy, the data is derived from equipment design drawings, process documents, and factory inspection reports. The acquired data needs to undergo data filtering and standardization processing, for example, unifying the length unit in different drawings to millimeters, the pressure unit to megapascals, and the flow rate unit to liters per minute. After data aggregation, a complete multi-cylinder hydraulic jacking equipment design dataset is formed, serving as input for subsequent geometric structure data identification and material data confirmation. The output of this step is a multi-cylinder hydraulic jacking equipment design data table, which contains complete geometric parameters and hydraulic system design parameters.

[0017] Step S12: Identify the geometric structure data of the multi-cylinder hydraulic lifting equipment based on the design data of the multi-cylinder hydraulic lifting equipment; In this embodiment of the invention, after acquiring the design data, it is necessary to identify the geometric structure data of the multi-cylinder equipment based on this data. The identification process includes analyzing the spatial arrangement of the cylinders and extracting the center coordinate position, installation angle, and spatial coordinates of the piston rod and load connection point of each hydraulic cylinder. To ensure accuracy, it is necessary to compare the design drawings with the installation conditions and check the symmetry and installation errors between the cylinders. During the identification process, a geometric analysis method is used to calculate the axial direction vector of each hydraulic cylinder to determine the working direction of each hydraulic cylinder in three-dimensional space. By comparing the length parameters of each cylinder with the effective area of ​​the piston, the overall load-bearing capacity distribution of the multi-cylinder equipment is obtained. Finally, a geometric structure data table is established, which includes the coordinate points, axial vectors, and effective force-bearing areas of each cylinder. This geometric structure data is the basic data for subsequent calculations of the multi-cylinder force distribution, detection of off-center loading, and construction of operational simulations. The final output result is a multi-cylinder equipment geometric structure dataset.

[0018] Step S13: Determine the material data of the multi-cylinder hydraulic jacking equipment based on the design data of the multi-cylinder hydraulic jacking equipment; In this embodiment of the invention, after identifying the geometric structure data, it is necessary to determine the material data by combining it with the design data of the multi-cylinder hydraulic jacking equipment. The material data includes the material properties of the cylinder body, piston rod, seals, and key connecting components (such as pins and bolts). The commonly used materials for the cylinder body and piston rod are alloy steel, and their elastic modulus E, Poisson's ratio ν, yield strength σy, ultimate strength σu, and fatigue limit σf need to be determined. Seals are mostly made of polyurethane or fluororubber, and their compression set and coefficient of friction need to be recorded. The steel properties of the connecting components need to be evaluated in conjunction with the welding process to assess the strength of their heat-affected zone. By comparing the design documents with material standards, the material data for each component is confirmed one by one, and a material database is established. The combination of material data and geometric structure data will provide the necessary mechanical input conditions for the next step of building and operating the simulation. The final output is a material structure dataset for the multi-cylinder hydraulic jacking equipment.

[0019] Step S14: Construct a multi-cylinder operation simulation model based on the geometric structure of the multi-cylinder equipment and the material structure data of the multi-cylinder hydraulic lifting equipment.

[0020] In this embodiment of the invention, after obtaining the geometric structure data and material structure data, it is necessary to construct a data structure for multi-cylinder operation simulation. First, the piston force-bearing area in the geometric data is combined with the rated pressure of the hydraulic system to calculate the theoretical output force of a single cylinder. The calculation formula is as follows: ; in, For the first The theoretical output force of a hydraulic cylinder For the system's rated operating pressure, The diameter of the piston in this cylinder is... This represents the piston's force-bearing area. By comparing the theoretical output forces of different cylinder blocks, the load-bearing capacity distribution of multiple cylinders is obtained. When combining material data, the cylinder block yield strength needs to be considered. By comparing the theoretical output force with the actual output force, the safe operating range of each cylinder is confirmed. Based on this, a mechanical calculation framework is established to unify the spatial arrangement, force distribution, and material limit conditions of the multiple cylinders, resulting in a multi-cylinder operation simulation dataset. The final output of this step is a table of mechanical parameters for multi-cylinder operation simulation, which includes the theoretical output force, material safety margin, and spatial application point information for each cylinder.

[0021] Preferably, step S14 includes the following steps: Step S141: Obtain the weight data of the flood discharge gate; In this embodiment of the invention, before performing multi-cylinder operation simulation, it is necessary to obtain the weight data of the flood discharge gate. The flood discharge gate weight data includes the weight of the gate leaf plate, the weight of the gate slot guide rail, and the weight of connecting components (such as beams, columns, and hinge supports). The weight data comes from the gate design drawings and structural mechanics calculation data. The dimensions of each component are marked in the drawings, and the actual weight needs to be calculated using material density and volume. For example, if the gate leaf plate is made of steel, the weight is calculated using the following formula: , in For the density of steel, Let the volume of the door leaf be... The acceleration due to gravity is used. The calculation results for the gate leaf plate, support beam, and guide rail are summed to obtain the overall weight of the floodgate. This weight data needs to be compared with the total weight data in the design documents to ensure the deviation is within the allowable range (e.g., no more than 1%). After calculation and verification, the final floodgate weight dataset is obtained, which will serve as input for the multi-cylinder hydraulic system layout and transmission dynamics analysis.

[0022] Step S142: Inspect the strength of the multi-cylinder structure material based on the material data of the multi-cylinder hydraulic lifting equipment; In this embodiment of the invention, after obtaining the weight data of the floodgate, it is necessary to test the material strength of the multi-cylinder hydraulic lifting equipment. The test objects include the hydraulic cylinder body, piston rod, end cap, seals, and main pressure-bearing connecting components. First, based on the material parameters obtained in step S13 (such as yield strength)... Ultimate tensile strength The elastic modulus (E) is compared with the load generated during actual operation. During the calculation, the maximum load-bearing capacity of a single cylinder is calculated based on the rated pressure P of the hydraulic system and the piston's force-bearing area A. Then, this force is compared with the critical load corresponding to the yield strength of the cylinder material to determine whether the structure meets the load-bearing requirements. For connecting parts such as bolts and pins, the shear strength formula needs to be used for verification, for example... ,in For the application of shear force, The effective shear area is determined. Through individual testing, the safety margin factor for each component under the conditions of bearing the weight of the floodgate and external water pressure is obtained. The final output data is a multi-cylinder structure material strength test result table, which clearly indicates the load-bearing limit value and safety factor of each key component.

[0023] Step S143: Evaluate the operational yield capacity of the multi-cylinder structure based on the material strength of the multi-cylinder structure; In this embodiment of the invention, after completing the material strength test, it is necessary to evaluate the operational yield capacity of the multi-cylinder structure based on the test data. Operational yield capacity refers to the capability boundary of a hydraulic cylinder to reach a yield state when subjected to external load. During calculation, the weight force of the floodgate is distributed uniformly or unevenly to each hydraulic cylinder, and the result is obtained using the formula... (in For the weight of the gate, Calculate the average force distribution per cylinder (for the number of hydraulic cylinders). Then compare this force distribution with the load-bearing capacity of a single cylinder to determine if any cylinder exceeds its limit. If the structural layout causes some hydraulic cylinders to bear additional eccentric loads, it is necessary to use the geometric data obtained in the previous step to perform eccentric force correction calculations. Compare the corrected force on each cylinder with the yield force to obtain the yield capacity distribution. After calculation, a multi-cylinder structure operating yield capacity assessment result table is generated. This table clearly records the safety margin of each hydraulic cylinder when bearing the weight of the gate and the operating yield limit of the overall system.

[0024] Step S144: Identify the multi-cylinder arrangement based on the geometric structure of the multi-cylinder equipment to obtain the multi-cylinder arrangement. In this embodiment of the invention, after obtaining the yield capacity of the multi-cylinder operation, it is necessary to identify the multi-cylinder arrangement based on the geometric structure. During the identification process, firstly, based on the geometric structure data table established in step S12, the installation position, installation angle, and spatial coordinates of the contact point with the load for each hydraulic cylinder are extracted. Through three-dimensional geometric analysis, the spatial lever arm between each hydraulic cylinder and the center force point of the gate is calculated to determine whether there is eccentric force or uneven distribution. If the distance between a certain hydraulic cylinder and the center of gravity of the gate is significantly larger, the force borne by that hydraulic cylinder during operation will be greater than that of other cylinders, and it needs to be marked separately. The identification results include the symmetry of the arrangement, the uniformity of the distribution, and the stability of the mechanical support. Finally, a multi-cylinder arrangement dataset is obtained, which will serve as the input condition for hydraulic transmission analysis to confirm whether the multiple cylinders can maintain synchronous force during transmission.

[0025] Step S145: Analyze the hydraulic transmission of the multi-cylinder arrangement based on the weight data of the flood discharge gate to obtain the hydraulic transmission situation of the multi-cylinder; In this embodiment of the invention, after identifying the layout, a hydraulic transmission analysis of the multi-cylinder layout needs to be performed based on the weight data of the floodgate. The hydraulic transmission analysis mainly includes flow distribution, pressure distribution, and force transmission. By calculating the pump station's oil supply flow rate Q and the hydraulic cylinder's required flow rate Q_i, it is determined whether each hydraulic cylinder can receive balanced oil supply. If the flow rate of a certain hydraulic cylinder is insufficient, it will lead to stroke deviation, thus affecting synchronization. Simultaneously, the lever arm data from the layout is substituted into the mechanical equilibrium equation to calculate the actual force value of each cylinder when bearing the gate weight, and compared with the theoretical bearing capacity of the hydraulic cylinder. The transmission analysis results are output in the form of a data table, which includes the force value, flow distribution ratio, and stroke response time of each hydraulic cylinder. This data table serves as a key input for the next step of simulation construction.

[0026] Step S146: Based on the multi-cylinder hydraulic transmission and the yield capacity of the multi-cylinder structure, construct a multi-cylinder operation simulation model to obtain the multi-cylinder operation simulation model.

[0027] In this embodiment of the invention, after completing the hydraulic transmission analysis, a multi-cylinder operation simulation model needs to be constructed based on the transmission conditions and yield capacity data. First, the yield capacity data obtained in step S143 and the hydraulic transmission data obtained in step S145 are processed together to establish a mechanical relationship. The stroke of each hydraulic cylinder within a given time is calculated to obtain the synchronization differences between the cylinders. By comparing the displacement differences with the yield capacity boundary, the operating limits under different load conditions can be identified. The final multi-cylinder operation simulation model includes the force state, displacement data, and synchronization parameters of each cylinder, providing an accurate operating dataset for subsequent testing and optimization.

[0028] Preferably, step S2 includes the following steps: Step S21: Obtain the operation log of the dam-type hydropower station; In this embodiment of the invention, during the implementation of the high-precision execution method for multi-cylinder synchronous control, it is necessary to first acquire the operation log of the dam-type hydropower station. The operation log is a long-term record of operational data from the hydropower station's dispatch and control system, including floodgate opening commands, actual opening feedback, hoist operating current, hydraulic system oil pressure, flow rate, gate operating resistance, upstream and downstream water levels, flow velocity, and water pressure distribution data. The operation log is collected in real-time by the hydropower station monitoring system, with a data sampling period of 1 second, which meets the time resolution required for dynamic load detection. During the acquisition process, the original operation log needs to be cleaned, deleting data points with missing values ​​or serious anomalies. For entries with missing timestamps, interpolation is used to complete them, ensuring the continuity of operational data in the time dimension. The final operation log dataset not only contains the original operating condition information but also the cleaned and corrected valid data entries, providing a complete input basis for the subsequent step S22 to detect the gate's dynamic load exceeding the limit.

[0029] Step S22: Detect the dynamic load over-limit status of the gates based on the operation log of the dam-type hydropower station to obtain the dynamic load over-limit status of the gates; In this embodiment of the invention, after acquiring the operation log, it is necessary to detect the gate's dynamic load over-limit status based on the log. First, load-related parameters are extracted from the log, including the hoist operating current, hydraulic oil pressure, flow rate, and gate opening. Based on the log time series, the total force change curve of the gate at different operating times is calculated. If the load value exceeds the maximum operating load threshold specified in the design document, it is determined that an over-limit phenomenon exists at that time. During the detection process, to avoid interference from instantaneous fluctuations, the load curve is processed by moving average to ensure that the obtained over-limit status has engineering usability. The detection results not only mark the time point of the over-limit occurrence but also include the over-limit magnitude and duration. The final output is a gate dynamic load over-limit status dataset, which provides a basis for structural distortion detection in the subsequent step S23.

[0030] Step S23: Detect the increase in gate structure torsion based on the gate's dynamic load exceeding the limit, and obtain the gate structure torsion increase status; In this embodiment of the invention, after obtaining the dynamic load exceeding the limit of the gate, it is necessary to further detect the increase in gate structural distortion. During the detection process, the gate opening sensor data and dynamic load data in the operation log are jointly analyzed. If, under the same driving force conditions, the gate opening feedback value is lower than the corresponding value under normal operating conditions, it is determined that there is an abnormal resistance. When this abnormality is combined with the overload, it indicates that there is structural distortion in the gate during operation. To further quantify the degree of distortion, the force difference between the guide rails on both sides of the gate is used as the calculation basis, and the force data of the support points on both sides are extracted from the operation log and compared. When the force difference between the two sides gradually increases, it indicates that the degree of structural distortion increases over time. The detection results are output in the form of a time series, marking the time period of distortion and the corresponding amplitude. The final result is a dataset of the gate structural distortion increase, which serves as the input condition for analyzing the resistance growth in step S24.

[0031] Step S24: Monitor the increase in resistance to overcome by the gate based on the increase in gate structure distortion and the over-limit status of gate dynamic load.

[0032] In this embodiment of the invention, after obtaining the information on the increase in gate structural distortion and the dynamic load exceeding limits, it is necessary to monitor the growth of the gate's resistance. During the monitoring process, the structural distortion amplitude obtained in step S23 is comprehensively analyzed with the overload amplitude recorded in step S22. By comparing the growth of the gate's hoisting current and hydraulic oil pressure under the same opening degree, it is determined whether there is a significant upward trend in the system's resistance. If the current and oil pressure show a continuous increase under the same opening degree condition, and the growth rate is consistent with the distortion condition, it is confirmed that the gate's operating resistance increases over time. The analysis results are output by establishing a time series comparison table, which includes the resistance growth rate, the time point of the growth, and the correspondence with the distortion amplitude. Finally, a dataset of the gate's resistance growth is obtained, which provides direct input conditions for monitoring the piston rod's force in the subsequent step S3.

[0033] Preferably, step S22 includes the following steps: Step S221: Obtain time-series data on dam flow rate changes based on the operation log of the dam-type hydropower station; In this embodiment of the invention, before detecting the dynamic load of the gate, it is necessary to first obtain the time-series data of dam water flow changes from the operation log of the dam-type hydropower station. The operation log records the raw data collected over a long period by upstream and downstream velocity sensors and flow meters, including the cross-sectional flow rate when the gate is open, the flow rate of the flood discharge channel, the water diversion flow rate corresponding to the unit output, and the inflow flow caused by rainfall or water storage scheduling. The collected data is continuous with a time step of 1 second. During the acquisition process, the raw data is first time-aligned, mapping the upstream and downstream velocity and flow data to the same timestamp. Subsequently, missing measurement points are filled by interpolation based on historical flow change trends to ensure the continuity and completeness of the water flow data. The final dam water flow change time-series data contains a complete time series structure, and the content corresponding to the data entries is the time point and the water flow value at that time point, providing basic input data for subsequent analysis of water flow fluctuations.

[0034] Step S222: Analyze the dam water flow fluctuation based on the time series data of dam water flow change to obtain dam water flow fluctuation data; In this embodiment of the invention, after obtaining the time-series data of dam water flow changes, it is necessary to analyze its fluctuation. During the analysis, the average value, variance, and instantaneous rate of change of water flow in different time periods are first calculated. A sliding window method is used, with 10-second time windows, to calculate the fluctuation amplitude of continuous time-series data. The degree of flow fluctuation during that period is determined by the difference between the maximum and minimum flow within the statistical window. Simultaneously, the flow rate of change curve is extracted; if the rate of change shows a continuous upward or downward trend, it is marked as a significant fluctuation point in the time series. The entire analysis process converts the original time-series data of water flow changes into a fluctuation dataset, which includes the flow fluctuation amplitude, the time period of fluctuation, and the fluctuation rate of change curve, ensuring that subsequent steps can extract situations of excessive water flow based on this result. The final output of the dam water flow fluctuation data serves as the input condition for subsequent step S223.

[0035] Step S223: Extract the situation of excessive dam water flow based on the dam water flow fluctuation data; In this embodiment of the invention, after obtaining the dam water flow fluctuation data, it is necessary to further extract the excessive dam water flow situation. First, the fluctuation data is compared with the design baseline flow threshold. The design baseline flow threshold is derived from the hydropower station design documents and reflects the safe limit flow that the gate structure can withstand during operation. When the average flow or instantaneous flow in any period of the fluctuation data exceeds the threshold, it is recorded as an excessive water flow situation. The extraction process not only identifies the time of exceeding the limit but also includes the duration and magnitude of the exceedance. In this way, the originally complex fluctuation situation is transformed into a time-series dataset of excessive water flow. This dataset contains the specific time of the exceedance, the duration, and the magnitude of the exceedance, providing direct input for determining the degree of water level height exceedance in the subsequent step S224.

[0036] Step S224: Determine the degree of dam water level exceeding the limit based on the excessive dam water flow, and calculate the excessive water pressure at the bottom of the dam gate based on the degree of dam water level exceeding the limit; In this embodiment of the invention, after determining the excessive water flow, it is necessary to further determine the degree of exceeding the dam water level limit and calculate the excessive water pressure at the bottom of the dam gate. During the process, the excessive water flow is first compared with the real-time inflow and outflow of the reservoir. When the inflow exceeds the outflow, the reservoir water level will inevitably rise. The degree of exceeding the water level limit is obtained by calculating the difference between the measured reservoir water level and the designed normal storage level. Subsequently, the water pressure at the bottom of the gate is calculated based on the exceeding water level value. The water pressure at the bottom of the gate is determined by both water depth and water density. By comparing the water pressure at the exceeding water level with the design reference water pressure, it is determined whether the bottom water pressure exceeds the safety threshold. The final data results include the water level exceeding the limit, the bottom water pressure value, and the degree of exceeding the limit. This result serves as the input condition for detecting the gate's dynamic load exceeding the limit in step S225.

[0037] Step S225: Based on the excessive water pressure at the bottom of the dam gate and the excessive water flow of the dam, the dynamic load of the gate is detected to obtain the dynamic load status of the gate.

[0038] In this embodiment of the invention, after obtaining information on excessive water pressure and excessive water flow at the bottom of the gate, it is necessary to detect the gate's dynamic load exceeding limits. During the detection process, the lateral hydrodynamic force caused by excessive water flow and the vertical water pressure caused by excessive bottom water pressure are comprehensively analyzed to obtain the combined load borne by the gate. Subsequently, this combined load is compared with the gate's structural design bearing limit. If the combined load exceeds the design limit, it is determined that there is a dynamic load exceeding limit. The final output data includes the time point of the exceeding limit, the magnitude of the exceeding limit, and the corresponding operating condition characteristics. This detection result provides complete input data for the gate structure distortion increase detection in step S23.

[0039] Preferably, step S23 includes the following steps: Step S231: Detect the growth of microcracks inside the gate based on the dynamic over-limit status of the gate, and obtain the growth status of microcracks inside the gate; In this embodiment of the invention, after the dynamic load over-limit condition detection of the gate is completed, it is necessary to further detect the growth of microcracks inside the gate. During the operation, strain gauges, acoustic emission sensors, and ultrasonic testing devices are first installed on the key stress-bearing parts of the gate (including the blade root, gate sidewalls, and bottom plate) to collect micro-strain and acoustic emission signals in real time under over-limit conditions. By analyzing the characteristic parameters of the acoustic emission signals, such as event count, energy amplitude, and frequency distribution, the crack initiation and propagation trends are identified. Ultrasonic testing penetrates the gate material to accurately locate the length and position of internal cracks. The microcrack growth data includes the number of cracks, crack length, crack propagation rate, and location, providing basic data for evaluating the local fatigue growth of the gate in the subsequent step S232. By comparing the microcrack growth data with the dynamic load over-limit time series, the correspondence between crack propagation and over-limit load can be clarified, achieving data traceability. The final obtained microcrack growth data inside the gate includes time series information and crack spatial distribution information, providing direct input conditions for subsequent fatigue analysis.

[0040] Step S232: Determine the local fatigue growth status of the gate structure based on the growth of microcracks inside the gate; In this embodiment of the invention, after acquiring data on microcrack growth, it is necessary to evaluate the local fatigue growth status of the gate structure. During the evaluation, the microcrack length, number of cracks, and propagation rate are compared with material fatigue limit data. The material fatigue limit data originates from the tensile-compression fatigue test results of the gate material, including the fatigue limit stress of the steel, fatigue life curve, and cyclic stress amplitude limit. The cumulative fatigue damage value of each critical stress location is calculated using the cumulative damage theory (Miner's rule) to obtain the local fatigue growth status. The cumulative damage value is compared with the design fatigue life threshold; when the cumulative damage value approaches the threshold, the location is determined to be in a high fatigue growth state. The final output data includes the fatigue growth percentage, cumulative number of cycles, and fatigue risk level for each stress location, providing input for subsequent blade bending estimation and achieving a complete connection from microcrack signals to local fatigue quantification.

[0041] Step S233: Based on the dynamic over-limit condition of the gate, estimate the compressive bending of the gate blade to obtain the compressive bending condition of the gate blade. In this embodiment of the invention, after obtaining the local fatigue growth data, it is necessary to estimate the compressive bending condition of the gate blade under dynamic load. During the operation, the local fatigue cumulative damage value is coupled with the blade geometry, material elastic modulus, and boundary constraints for analysis. The deflection and bending stress distribution of the blade under excessive load conditions are determined using the finite element method or direct stress-strain calculation. The deflection and bending stress distribution data, combined with the aforementioned fatigue growth condition, are used to calculate the location of the maximum compressive stress and the degree of compressive bending of the blade. The output data includes the maximum deflection value of the blade under compressive bending, the peak bending stress, and its corresponding time point, providing basic numerical values ​​for determining the structural center of gravity shift in step S234. This step ensures a continuous analysis chain from microcrack accumulation to local structural deformation, realizing full-process data transfer.

[0042] Step S234: Determine the offset of the gate structure's center of gravity based on the pressure and bending of the gate blades; In this embodiment of the invention, after obtaining the compressive bending condition of the blade, it is necessary to further determine the overall structural center of gravity offset of the gate. During the operation, the blade deflection and bending stress data are coupled with the overall geometric coordinates of the gate for calculation. Using the moment balance method and the center of gravity calculation formula, the center of gravity offset of the gate structure under the action of overload is calculated. The center of gravity offset calculation result includes the offset direction and offset distance. The offset data is compared with the maximum compressive bending value of the blade to determine the correspondence between the structural deformation concentration area and the center of gravity offset. The output center of gravity offset data includes the offset distance, offset direction, and corresponding time point, providing complete input for the torsion detection in step S235, ensuring that the subsequent structural torsion identification data and force distribution data are accurately matched.

[0043] Step S235: Detect the increase in gate structure torsion based on the gate structure's center of gravity shift and the gate blade's bending under pressure, and obtain the gate structure's torsion increase status.

[0044] In this embodiment of the invention, after obtaining the pressure bending condition of the blade and the structural center of gravity shift, the gate structure torsion increase detection is performed. During the operation, the center of gravity shift data is combined with the blade deflection and bending stress data to calculate the overall structural torsion angle and the torsion increment of each key node. By comparing the torsion angle with the original design position, the specific location and magnitude of the structural torsion increase are identified. The output data includes the torsion angle, torsion increment, and corresponding time series of each key node, providing direct input for monitoring the gate's resistance growth in step S24, realizing a complete logical link from local microcracks—local fatigue—blade deformation—center of gravity shift to overall torsion.

[0045] Preferably, step S24 includes the following steps: Step S241: Based on the increased twisting of the gate structure, measure the reduction in gate rotation clearance to obtain gate rotation clearance reduction data; In this embodiment of the invention, after obtaining data on the increased distortion of the gate structure, the gate rotation clearance is precisely measured. During operation, high-precision displacement sensors are installed at key locations in the gate bearings and where the gate contacts the gate pier to continuously collect data on the clearance changes at various points during the gate's rotation. Simultaneously, contact dial indicators are installed on key contact surfaces to record clearance changes under dynamic loads. By comparing the designed gate rotation clearance with the actual measured clearance, the amount of clearance reduction is determined, and time-series data reflecting the trend of clearance reduction is generated. During measurement, the clearance reduction amount and corresponding time points for each bearing and contact node are recorded, providing accurate basic data for subsequent friction force calculations. The final data includes the clearance reduction amount, reduction magnitude, and a continuous sequence of changes over time for each key bearing location.

[0046] Step S242: Calculate the increase in gate rotation friction based on the data of gate rotation clearance reduction; In this embodiment of the invention, after acquiring the data on the reduction in rotational clearance, the frictional force increment is calculated by combining the gate weight, blade size, and contact surface friction characteristics. During operation, the reduction in rotational clearance is combined with data on the gate weight and key bearing positions, and the frictional force change is calculated through force balance and torque transmission relationships. The local frictional force increment of each bearing or contact node is calculated separately and integrated into the overall gate frictional force increment data, while simultaneously generating a frictional force change curve over time. The output data includes the frictional force increase amplitude at each key location and the overall frictional force change trend over time, providing input data for subsequent plunger rod eccentricity force testing.

[0047] Step S243: Test the growth of the eccentric force of the gate plunger rod based on the increase in gate rotation friction and the increase in gate structure torsion, and obtain the growth status of the eccentric force of the gate plunger rod. In this embodiment of the invention, after obtaining the frictional force increment and gate structure torsion data, the eccentric force of the plunger rod is tested. During operation, the frictional force increment and torsion angle data are combined with the plunger rod geometry and stress location to calculate the force change of each plunger rod. Based on the stress conditions at different plunger rod positions, a curve showing the eccentric force increase over time is generated, and the maximum eccentric force and corresponding time for each plunger rod are recorded. The final output data includes the plunger rod eccentric force increase amplitude, duration, and location, providing complete data input for cylinder block local stress monitoring.

[0048] Step S244: Monitor the local stress concentration in the cylinder based on the growth of the eccentric force on the gate plunger rod; In this embodiment of the invention, after acquiring the eccentric force data of the plunger rod, it is necessary to monitor the local stress concentration in the cylinder block. During operation, the eccentric force and its duration are combined with the cylinder block geometry, material properties, and boundary conditions to determine the local stress distribution in the cylinder block using mechanical analysis methods. Stress peak values ​​are measured at key sections and local nodes to generate time-series data of local stress in the cylinder block. The output data includes the stress amplitude, stress distribution, and stress curves over time at key sections, providing input for identifying mechanical damage to the cylinder block.

[0049] Step S245: Identify mechanical damage to the cylinder block structure based on the local stress concentration condition of the cylinder block, and obtain mechanical damage data of the cylinder block structure; In this embodiment of the invention, after obtaining local stress concentration data of the cylinder block, the mechanical damage of the cylinder block structure is analyzed. During the operation, the local stress peak value is compared with the material yield strength and fatigue life data to determine the degree of damage at each key location. Combined with the cumulative stress cycle count, the local damage coefficient of the cylinder block is calculated, and a damage-time curve is generated. The output data includes the cylinder block damage location, damage amplitude, cumulative cycle count, and risk level, providing input for estimating the cylinder block instability trend.

[0050] Step S246: Estimate the increasing trend of cylinder block structural instability based on cylinder block mechanical damage data; In this embodiment of the invention, after obtaining mechanical damage data, the increasing trend of cylinder instability is estimated. During operation, the local damage amplitude is coupled with the key section stiffness, boundary conditions, and load changes for analysis to generate a cylinder instability variation curve over time. The output data includes the instability threshold of key nodes, the instability trend curve, and the time series, providing complete data input for step S247 to monitor the gate's resistance growth.

[0051] Step S247: Monitor the growth of resistance overcome by the gate based on the increasing trend of cylinder structure instability and the growth of gate plunger rod eccentric force.

[0052] In this embodiment of the invention, after obtaining the cylinder instability trend and plunger rod eccentric force data, the growth of the gate's resistance is monitored. During operation, the cylinder instability prediction curve is combined with the plunger rod eccentric force time series for analysis to calculate the instantaneous force and total resistance change of the gate overcoming resistance. The output data includes the gate's resistance over time curve, the maximum resistance value, and the corresponding key moments, providing complete input for subsequent multi-cylinder mechanical degradation analysis and realizing a continuous data chain from structural distortion to operational resistance.

[0053] Preferably, step S3 includes the following steps: Step S31: Perform multi-cylinder synchronous operation simulation based on the multi-cylinder operation simulation model to generate multi-cylinder synchronous operation simulation data; In this embodiment of the invention, after obtaining a complete multi-cylinder operation simulation model, the geometric structure, material data, hydraulic transmission conditions, and multi-cylinder arrangement of each cylinder in the simulation model are uniformly input and processed. During operation, parameters such as piston position, hydraulic oil chamber pressure, sealing friction, and plunger rod eccentric force of each cylinder are progressively assigned values. By calculating the load distribution and hydraulic coupling characteristics between cylinders step by step, the synchronous operation simulation of multiple cylinders is achieved. The piston displacement, oil pressure change, output force, and interaction force between each cylinder and other cylinders during the simulation period are recorded to generate continuous time-series data. The simulation process is combined with the gate's resistance growth condition. By adjusting the hydraulic supply pressure and piston movement speed of each cylinder in real time, the simulation data ensures that the simulation data reflects the synchronous characteristics of multi-cylinder coupling during actual operation. The final output data includes the piston stroke sequence, hydraulic oil pressure change, coupling torque between cylinders, and synchronization deviation sequence of each cylinder, providing complete input for local cylinder load-bearing pressure coupling analysis.

[0054] Step S32: Estimate the coupling increase of local cylinder bearing pressure based on the simulation data of multi-cylinder synchronous operation according to the gate's resistance growth. In this embodiment of the invention, after obtaining simulation data of multi-cylinder synchronous operation and data on the growth of gate resistance, the load-bearing pressure change of each cylinder is calculated. During operation, the gate resistance change data over time is input into the cylinder load calculation module, and the force situation of each cylinder at different operating stages is calculated through mechanical balance relationships. Combining the hydraulic coupling characteristics between cylinders, the load distribution deviation and instantaneous pressure peaks among multiple cylinders are analyzed. Through time series analysis, the load-bearing pressure coupling growth rate and trend of each cylinder are quantitatively recorded, forming local cylinder load-bearing pressure coupling growth data. The output data includes the maximum, minimum, and average load-bearing pressure of each cylinder during operation, as well as the time node of the pressure peak occurrence, and simultaneously forms a cylinder pressure coupling growth curve, providing a basic input for subsequent mechanical degradation trend analysis.

[0055] Step S33: Determine the growth trend of mechanical degradation of the local cylinder block based on the coupled growth of local cylinder block bearing pressure; In this embodiment of the invention, after acquiring the local cylinder bearing pressure coupling growth data, the stress accumulation of the cylinder material and the mechanical degradation trend under long-term load are analyzed. During operation, the peak pressure and number of cycle pressures of each cylinder are compared with the yield strength and fatigue performance of the cylinder material. The cumulative effect of local stress cycles in each cylinder is calculated segment by segment to quantify the degree of mechanical degradation. Based on the coupling pressure characteristics between cylinders, a curve showing the degradation growth trend over time is determined, and independent degradation trend data is generated for each cylinder. The output data includes the local degradation growth amplitude, degradation rate, and key time nodes of the cylinder. Simultaneously, the degradation trend and the coupling relationship with the bearing pressure are correlated and recorded, providing input for hydraulic oil flow control distortion detection.

[0056] Step S34: Detect hydraulic oil flow control distortion data based on the local cylinder block mechanical degradation growth trend.

[0057] In this embodiment of the invention, after obtaining data on the growth trend of local cylinder mechanical degradation, the accuracy of hydraulic system flow control is evaluated and distortion is detected. During operation, the cylinder degradation amplitude and degradation rate are input into the hydraulic flow monitoring module. By analyzing the deviation between the cylinder stroke response and the hydraulic oil supply, flow control distortion is identified. The focus is on monitoring piston displacement response delay, insufficient oil supply, and pressure fluctuations caused by cylinder degradation. Hydraulic oil flow distortion data is generated, including the flow deviation amplitude, cumulative deviation, and distortion curves of each cylinder at different time points, providing accurate data input for subsequent multi-cylinder synchronous anomaly analysis.

[0058] Preferably, step S4 includes the following steps: Step S41: Detect abnormal pressure compensation data for electro-hydraulic control based on hydraulic oil flow control distortion data; In this embodiment of the invention, after acquiring the hydraulic oil flow control distortion data output in step S34, an abnormal pressure compensation analysis is performed on the electro-hydraulic control unit of the hydraulic system. During operation, the flow distortion amplitude measured during the operation of each cylinder is compared with the corresponding piston response delay to identify instantaneous pressure deviations caused by insufficient or delayed hydraulic oil flow. Using pressure sensor data, flow meter records, and cylinder stroke feedback signals, the output pressure of the hydraulic system booster pump and proportional control valve is calculated in real time to generate the pressure compensation amplitude and change curves for each cylinder under different loads and time points. The pressure compensation amplitude is correlated with the flow distortion data to form an electro-hydraulic control abnormal pressure compensation data sequence, including cylinder pressure adjustment amplitude, compensation time delay, and cumulative pressure compensation amount, providing direct input for subsequent cylinder stroke deviation analysis. This operation ensures that abnormal pressure changes in the hydraulic system are quantified and recorded, and can directly correspond to the cylinder structure wear trend.

[0059] Step S42: Detect the degree of deviation in the multi-cylinder operating stroke based on the local cylinder block structural wear growth trend; In this embodiment of the invention, after obtaining the local cylinder mechanical degradation growth trend and cylinder structural wear data, the stroke deviation is analyzed cylinder by cylinder. During operation, the mechanical degradation degree of each cylinder is superimposed and analyzed with the hydraulic oil flow response deviation to calculate the difference between the theoretical stroke and the actual stroke of the piston under standard hydraulic pressure conditions. Time series analysis is used to record the changes in cylinder stroke deviation with load and operating time, forming a stroke deviation curve for each cylinder. Furthermore, the multi-cylinder stroke deviation data are coupled and analyzed to calculate the stroke differences between different cylinders, as well as the mean, peak, and cumulative deviation. Multi-cylinder operating stroke deviation data is output, including the deviation amplitude, cumulative deviation change, and deviation rate of each cylinder under different operating conditions, providing direct input data for subsequent multi-cylinder synchronous abnormal trend identification, ensuring that the deviation quantification accurately corresponds to cylinder mechanical wear and hydraulic distortion.

[0060] Step S43: Identify the abnormal trend of multi-cylinder synchronization based on the degree of deviation in the multi-cylinder operating stroke and the abnormal boosting compensation data of electro-hydraulic control; In this embodiment of the invention, after obtaining the electro-hydraulic control abnormal pressure compensation data in step S41 and the multi-cylinder stroke deviation data in step S42, multi-cylinder synchronization abnormality trend identification is performed. During the operation, the stroke deviation of each cylinder is compared with the corresponding pressure compensation data to identify the synchronization deviation and abnormal response relationship between cylinders. By analyzing the coupling relationship between the multi-cylinder stroke deviation curve and the pressure compensation curve, the synchronization deviation increment and its trend over time are calculated, and a coupling abnormality matrix between cylinders is formed. Furthermore, based on the deviation peak value, duration, and cumulative deviation, the law of synchronization abnormality and the key cylinders are determined. Multi-cylinder synchronization abnormality trend data is output, including the synchronization error amplitude between cylinders, the average deviation, and the abnormal time node, providing a quantitative basis for synchronization optimization processing. This operation realizes a direct correspondence between stroke deviation and pressure compensation, enabling precise quantification of multi-cylinder synchronization abnormality trends.

[0061] Step S44: Optimize the abnormal trend of multi-cylinder synchronization to obtain multi-cylinder synchronization optimization data.

[0062] In this embodiment of the invention, after obtaining multi-cylinder synchronization anomaly trend data, the anomaly trend is optimized to generate multi-cylinder synchronization optimization data. During operation, the stroke deviation and electro-hydraulic pressure compensation data of each cylinder are comprehensively analyzed, and the hydraulic pressure and stroke correction amount to be adjusted for each cylinder are calculated according to the load balance principle. Through iterative calculation, the deviations between cylinders are gradually balanced, forming an optimized stroke adjustment sequence and hydraulic pressure adjustment sequence for each cylinder. The output data includes the optimized cylinder stroke curve, pressure adjustment amplitude, and synchronization curve after minimizing the multi-cylinder synchronization error, ensuring that the synchronous operation deviation of all cylinders is reduced to a minimum under the same working conditions. The multi-cylinder synchronization optimization data generated after this processing provides direct input for the actual control of the hydraulic system, realizing a closed-loop quantitative basis for mechanical-hydraulic dual-redundancy high-precision synchronous control.

[0063] The present invention also provides a high-precision execution system for multi-cylinder synchronous control, used to execute the high-precision execution method for multi-cylinder synchronous control as described above, the high-precision execution system for multi-cylinder synchronous control comprising: The model building module is used to acquire the design data of the multi-cylinder hydraulic jacking equipment; identify the geometric structure data of the multi-cylinder equipment based on the design data; and build a multi-cylinder operation simulation model based on the geometric structure data and the design data. The resistance growth monitoring module is used to acquire the operation logs of dam-type hydropower stations; estimate the dynamic load over-limit status of the gates based on the operation logs; detect the increase in gate structural torsion based on the gate dynamic load over-limit status; and monitor the increase in gate resistance based on the increase in gate structural torsion. The flow control distortion detection module is used to determine the local mechanical degradation growth trend of the cylinder based on the gate's resistance overcoming growth condition in the multi-cylinder operation simulation model; and to detect hydraulic oil flow control distortion data based on the local mechanical degradation growth trend. The optimization processing module is used to detect the degree of deviation in the multi-cylinder operating stroke based on the growth trend of local cylinder mechanical degradation; to identify the abnormal trend of multi-cylinder synchronization based on the degree of deviation in the multi-cylinder operating stroke and the hydraulic oil flow control distortion data; and to optimize the abnormal trend of multi-cylinder synchronization to obtain multi-cylinder synchronization optimization data.

[0064] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A high-precision execution method for multi-cylinder synchronous control, characterized in that, Includes the following steps: Step S1: Obtain design data for the multi-cylinder hydraulic jacking equipment; Identify the geometric structure data of multi-cylinder hydraulic lifting equipment based on the design data of the multi-cylinder hydraulic lifting equipment; A multi-cylinder operation simulation model was constructed based on the geometric structure data of multi-cylinder equipment and the design data of multi-cylinder hydraulic lifting equipment. Step S2: Obtain the operation log of the dam-type hydropower station; estimate the dynamic load over-limit status of the gates based on the operation log of the dam-type hydropower station; Detect the increase in gate structural torsion based on the dynamic load exceeding the gate limit; monitor the increase in gate resistance based on the increase in gate structural torsion. Step S3: Determine the local mechanical degradation growth trend of the cylinder based on the gate's resistance overcoming growth condition in the multi-cylinder operation simulation model; Detect hydraulic oil flow control distortion data based on the localized cylinder block mechanical degradation growth trend; Step S4: Detect the degree of multi-cylinder stroke deviation based on the local mechanical degradation growth trend of the cylinder block; identify the abnormal trend of multi-cylinder synchronization based on the degree of multi-cylinder stroke deviation and hydraulic oil flow control distortion data; The abnormal trend of multi-cylinder synchronization is optimized to obtain multi-cylinder synchronization optimization data.

2. The high-precision execution method for multi-cylinder synchronous control according to claim 1, characterized in that, Step S1 includes the following steps: Step S11: Obtain design data for the multi-cylinder hydraulic jacking equipment; Step S12: Identify the geometric structure data of the multi-cylinder hydraulic lifting equipment based on the design data of the multi-cylinder hydraulic lifting equipment; Step S13: Determine the material data of the multi-cylinder hydraulic jacking equipment based on the design data of the multi-cylinder hydraulic jacking equipment; Step S14: Construct a multi-cylinder operation simulation model based on the geometric structure of the multi-cylinder equipment and the material structure data of the multi-cylinder hydraulic lifting equipment.

3. The high-precision execution method for multi-cylinder synchronous control according to claim 2, characterized in that, Step S14 includes the following steps: Step S141: Obtain the weight data of the flood discharge gate; Step S142: Inspect the strength of the multi-cylinder structure material based on the material data of the multi-cylinder hydraulic lifting equipment; Step S143: Evaluate the operational yield capacity of the multi-cylinder structure based on the material strength of the multi-cylinder structure; Step S144: Identify the multi-cylinder arrangement based on the geometric structure of the multi-cylinder equipment to obtain the multi-cylinder arrangement. Step S145: Analyze the hydraulic transmission of the multi-cylinder arrangement based on the weight data of the flood discharge gate to obtain the hydraulic transmission situation of the multi-cylinder; Step S146: Based on the multi-cylinder hydraulic transmission and the yield capacity of the multi-cylinder structure, construct a multi-cylinder operation simulation model to obtain the multi-cylinder operation simulation model.

4. The high-precision execution method for multi-cylinder synchronous control according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Obtain the operation log of the dam-type hydropower station; Step S22: Detect the dynamic load over-limit status of the gates based on the operation log of the dam-type hydropower station to obtain the dynamic load over-limit status of the gates; Step S23: Detect the increase in gate structure torsion based on the gate's dynamic load exceeding the limit, and obtain the gate structure torsion increase status; Step S24: Monitor the increase in resistance to overcome by the gate based on the increase in gate structure distortion and the over-limit status of gate dynamic load.

5. The high-precision execution method for multi-cylinder synchronous control according to claim 4, characterized in that, Step S22 includes the following steps: Step S221: Obtain time-series data on dam flow rate changes based on the operation log of the dam-type hydropower station; Step S222: Analyze the dam water flow fluctuation based on the time series data of dam water flow change to obtain dam water flow fluctuation data; Step S223: Extract the situation of excessive dam water flow based on the dam water flow fluctuation data; Step S224: Determine the degree of dam water level exceeding the limit based on the excessive dam water flow, and calculate the excessive water pressure at the bottom of the dam gate based on the degree of dam water level exceeding the limit; Step S225: Based on the excessive water pressure at the bottom of the dam gate and the excessive water flow of the dam, the dynamic load of the gate is detected to obtain the dynamic load status of the gate.

6. The high-precision execution method for multi-cylinder synchronous control according to claim 4, characterized in that, Step S23 includes the following steps: Step S231: Detect the growth of microcracks inside the gate based on the dynamic over-limit status of the gate, and obtain the growth status of microcracks inside the gate; Step S232: Determine the local fatigue growth status of the gate structure based on the growth of microcracks inside the gate; Step S233: Based on the dynamic over-limit condition of the gate, estimate the compressive bending of the gate blade to obtain the compressive bending condition of the gate blade. Step S234: Determine the offset of the gate structure's center of gravity based on the pressure and bending of the gate blades; Step S235: Detect the increase in gate structure torsion based on the gate structure's center of gravity shift and the gate blade's bending under pressure, and obtain the gate structure's torsion increase status.

7. The high-precision execution method for multi-cylinder synchronous control according to claim 4, characterized in that, Step S24 includes the following steps: Step S241: Based on the increased twisting of the gate structure, measure the reduction in gate rotation clearance to obtain gate rotation clearance reduction data; Step S242: Calculate the increase in gate rotation friction based on the data of gate rotation clearance reduction; Step S243: Test the growth of the eccentric force of the gate plunger rod based on the increase in gate rotation friction and the increase in gate structure torsion, and obtain the growth status of the eccentric force of the gate plunger rod. Step S244: Monitor the local stress concentration in the cylinder based on the growth of the eccentric force on the gate plunger rod; Step S245: Identify mechanical damage to the cylinder block structure based on the local stress concentration condition of the cylinder block, and obtain mechanical damage data of the cylinder block structure; Step S246: Estimate the increasing trend of cylinder block structural instability based on cylinder block mechanical damage data; Step S247: Monitor the growth of resistance overcome by the gate based on the increasing trend of cylinder structure instability and the growth of gate plunger rod eccentric force.

8. The high-precision execution method for multi-cylinder synchronous control according to claim 1, characterized in that, Step S3 includes the following steps: Step S31: Perform multi-cylinder synchronous operation simulation based on the multi-cylinder operation simulation model to generate multi-cylinder synchronous operation simulation data; Step S32: Estimate the coupling increase of local cylinder bearing pressure based on the simulation data of multi-cylinder synchronous operation according to the gate's resistance growth. Step S33: Determine the growth trend of mechanical degradation of the local cylinder block based on the coupled growth of local cylinder block bearing pressure; Step S34: Detect hydraulic oil flow control distortion data based on the local cylinder block mechanical degradation growth trend.

9. The high-precision execution method for multi-cylinder synchronous control according to claim 1, characterized in that, Step S4 includes the following steps: Step S41: Detect abnormal pressure compensation data for electro-hydraulic control based on hydraulic oil flow control distortion data; Step S42: Detect the degree of deviation in the multi-cylinder operating stroke based on the local cylinder block structural wear growth trend; Step S43: Identify the abnormal trend of multi-cylinder synchronization based on the degree of deviation in the multi-cylinder operating stroke and the abnormal boosting compensation data of electro-hydraulic control; Step S44: Optimize the abnormal trend of multi-cylinder synchronization to obtain multi-cylinder synchronization optimization data.

10. A high-precision execution system for multi-cylinder synchronous control, characterized in that, For performing the high-precision execution method of multi-cylinder synchronous control as described in claim 1, the high-precision execution system of multi-cylinder synchronous control includes: The model building module is used to acquire the design data of the multi-cylinder hydraulic jacking equipment; identify the geometric structure data of the multi-cylinder equipment based on the design data; and build a multi-cylinder operation simulation model based on the geometric structure data and the design data. The resistance growth monitoring module is used to acquire the operation logs of dam-type hydropower stations; estimate the dynamic load over-limit status of the gates based on the operation logs; detect the increase in gate structural torsion based on the gate dynamic load over-limit status; and monitor the increase in gate resistance based on the increase in gate structural torsion. The flow control distortion detection module is used to determine the local mechanical degradation growth trend of the cylinder based on the gate's resistance overcoming growth condition in the multi-cylinder operation simulation model; and to detect hydraulic oil flow control distortion data based on the local mechanical degradation growth trend. The optimization processing module is used to detect the degree of deviation in the multi-cylinder operating stroke based on the growth trend of local cylinder mechanical degradation; to identify the abnormal trend of multi-cylinder synchronization based on the degree of deviation in the multi-cylinder operating stroke and the hydraulic oil flow control distortion data; and to optimize the abnormal trend of multi-cylinder synchronization to obtain multi-cylinder synchronization optimization data.

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