Hydraulic System of a Mobile Hydraulic Shear

Abstract

The present invention provides a hydraulic system for a mobile hydraulic shear, which relates to the technical field of data processing. The method includes: collecting the pressure data, flow rate data, and temperature data of the hydraulic oil during the shearing process, removing redundant data and unifying the unit dimensions, analyzing whether there is abnormal pressure fluctuation in the current shearing according to the pressure data, calculating the target pressure value of the hydraulic oil during the shearing process, adjusting the output pressure value of the hydraulic pump to the target pressure value, analyzing whether the oil return flow rate fluctuation is caused by the change of the opening value of the oil return channel according to the flow rate data, calculating the target opening value of the oil return channel, adjusting the opening value of the oil return channel to the target opening value, judging whether there is abnormal temperature rise of the hydraulic oil according to the temperature data, calculating the target opening duration of the cooling circuit, and maintaining the opening duration of the cooling circuit to the target opening duration. The present invention improves the stability of the hydraulic shear by adjusting the pressure, flow rate, and temperature of the hydraulic system.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a hydraulic system for a mobile hydraulic shear. Background Art

[0002] Mobile hydraulic shears are widely used for shearing materials such as metal components and scrap steel. Existing mobile hydraulic shears usually use a hydraulic system to drive the shearing mechanism to provide sufficient shearing force. The hydraulic system generally consists of components such as a hydraulic pump, a hydraulic valve, and a hydraulic cylinder. During operation, the hydraulic pump provides high-pressure hydraulic oil to push the hydraulic cylinder to drive the shearing blade for shearing operations. Some equipment uses a manual or electrically controlled directional valve to control the shearing action, which can meet the general metal shearing requirements. However, in actual applications, the shearing process is often affected by factors such as load changes and oil temperature fluctuations, which may cause the hydraulic system to respond lag or the pressure to be unstable, reducing the shearing quality and the service life of the equipment.

[0003] For example, when processing thick-walled steel pipes or high-strength steel, the hydraulic system may experience a sudden increase in pressure or poor oil return, causing local high temperatures of the hydraulic oil during high-load shearing. The high temperature may cause the viscosity of the hydraulic oil to decrease, resulting in slight unevenness in the movement of the hydraulic cylinder, which in turn affects the synchronism of the shearing blade, may cause the shearing cross-section to be uneven or the blade to be eccentrically loaded, exacerbating the wear of the blade and the hydraulic cylinder, and reducing the stability and service life of the equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide a hydraulic system for a mobile hydraulic shear, aiming to solve the problems mentioned in the background art.

[0005] To solve the above technical problems, the technical solution of the present invention is as follows:

[0006] A hydraulic system for a mobile hydraulic shear, the system comprising:

[0007] A data acquisition module for collecting pressure data, flow rate data, and temperature data of the hydraulic oil during the shearing process to obtain an initial data set;

[0008] A data preprocessing module for preprocessing the initial data set, removing redundant data and unifying the unit dimensions to obtain a hydraulic oil data set;

[0009] A pressure analysis module for drawing a pressure change curve of the hydraulic oil with respect to time during the shearing process based on the pressure data in the hydraulic oil data set, calculating the pressure change gradient according to it, analyzing whether there is abnormal pressure fluctuation in the current shearing, and obtaining a load adjustment instruction;

[0010] A load adjustment module, configured to calculate a target pressure value of the hydraulic oil during shearing according to a load adjustment instruction, and adjust the output pressure value of the hydraulic pump to the target pressure value according to the target pressure value;

[0011] A flow rate analysis module, configured to calculate a change rate of the oil return flow in adjacent time periods based on the flow rate data in the hydraulic oil dataset to obtain an instantaneous oil return change rate, and extract an oil return opening value of the oil return passage according to the instantaneous oil return change rate, and analyze whether the oil return flow fluctuation is caused by a change in the opening value of the oil return passage to obtain an oil return adjustment instruction;

[0012] An opening adjustment module, configured to calculate a target opening value of the oil return passage according to the oil return adjustment instruction, and adjust the opening value of the oil return passage to the target opening value according to the target opening value;

[0013] A temperature analysis module, configured to calculate a temperature change rate of the hydraulic oil per unit time based on the temperature data in the hydraulic oil dataset, and judge whether there is an abnormal temperature rise phenomenon of the hydraulic oil according to the temperature change rate to obtain a cooling adjustment instruction;

[0014] A cooling adjustment module, configured to calculate a target opening duration of the cooling circuit according to the cooling adjustment instruction, and maintain the opening duration of the cooling circuit at the target opening duration according to the target opening duration.

[0015] Further, the pressure analysis module includes:

[0016] A pressure curve generation unit, configured to determine an instantaneous pressure value of the hydraulic oil according to the pressure data at a preset time point, and construct a pressure change curve of the pressure changing with time according to the instantaneous pressure value;

[0017] A pressure gradient calculation unit, configured to perform a differential process on the pressure change curve to calculate a pressure change gradient at each time point;

[0018] An abnormal pressure identification unit, configured to detect whether the pressure change at each time point exceeds a preset pressure threshold according to the pressure change gradient, and generate an abnormal pressure fluctuation signal;

[0019] A load adjustment instruction generation unit, configured to calculate a pressure correction amount during shearing according to the abnormal pressure fluctuation signal, and generate a load adjustment instruction.

[0020] Further, the load adjustment module includes:

[0021] A target pressure calculation unit, configured to calculate a target pressure value of the hydraulic pump during shearing according to the pressure correction amount;

[0022] A pressure adjustment step determination unit, configured to calculate a pressure deviation amount according to the target pressure value and the actual output pressure value, and calculate a pressure adjustment step according to the pressure deviation amount, and generate a pressure adjustment instruction;

[0023] A pressure feedback control unit is used to gradually adjust the output pressure value of a hydraulic pump according to a pressure adjustment instruction, making it approach the target pressure value, and ensuring the pressure stability during shearing by real-time monitoring of the adjusted pressure change.

[0024] Further, the calculation formula for the pressure adjustment step size is:

[0025] ;

[0026] Wherein, is the pressure adjustment step size, is the target pressure value, is the actual output pressure value, is the pressure deviation amount, is the length of the sheared item, is the thickness of the sheared item, is the maximum adjustment step size allowed by the hydraulic pump, , is the theoretical adjustment step size, is the minimum value function. When , then , when , then , are coefficients respectively.

[0027] Further, the flow rate analysis module includes:

[0028] An oil return flow rate change calculation unit is used to calculate the change rate of the oil return flow rate in adjacent time periods according to the flow rate data, obtain the instantaneous oil return change rate, and record the distribution of the instantaneous oil return change rate in each time period to form a flow rate fluctuation sequence;

[0029] An oil return opening degree extraction unit is used to extract the oil return opening degree value of the oil return channel in the corresponding time period according to the flow rate fluctuation sequence, and establish the correlation relationship between the oil return opening degree value and the instantaneous oil return change rate to obtain an oil return opening degree - flow rate relationship data set;

[0030] An opening degree matching analysis unit is used to calculate the actual oil return opening degree deviation value of the oil return channel in the current time period according to the oil return opening degree - flow rate relationship data set, and determine whether the oil return flow rate fluctuation is caused by the change of the opening degree value. When the result is yes, an oil return adjustment instruction is generated.

[0031] Further, the oil return opening degree extraction unit includes:

[0032] An opening degree data acquisition unit is used to synchronously acquire the oil return channel opening degree values in the corresponding time period according to the flow rate fluctuation sequence to obtain an opening degree value sequence;

[0033] A data pairing unit, which is used to pair the change amount of the oil return channel opening value and the change amount of the instantaneous oil return change rate within adjacent time periods according to the opening value sequence and the flow rate fluctuation sequence, so as to obtain an oil return opening flow change data set;

[0034] A relationship fitting unit, which is used to calculate the correlation between the oil return opening value and the instantaneous oil return change rate according to the oil return opening flow change data set, and select a linear regression model according to it, calculate the parameters of the linear regression model, and obtain a fitting model;

[0035] An association relationship storage unit, which is used to store the fitting model into the oil return opening flow relationship data set and dynamically update it during the shearing process to ensure the mutual matching of the oil return opening and the instantaneous oil return change rate.

[0036] Further, the opening adjustment module includes:

[0037] A target opening calculation unit, which is used to calculate the target opening value of the oil return channel according to the oil return adjustment instruction, and calculate the influence of the adjusted target opening value on the flow rate change rate to obtain a predicted instantaneous oil return change rate;

[0038] An opening dynamic adjustment unit, which is used to stepwise adjust the opening value of the oil return channel according to the actual opening value of the oil return channel to make it gradually approach the target opening value;

[0039] An opening feedback correction unit, which is used to calculate the adjusted actual instantaneous oil return change rate and compare it with the predicted instantaneous oil return change rate. When there is a deviation, the target opening value is corrected and a secondary adjustment is performed to ensure that the oil return channel opening value matches the hydraulic oil flow rate.

[0040] Further, the temperature analysis module includes:

[0041] A temperature change calculation unit, which is used to calculate the temperature change rate of the hydraulic oil within adjacent time periods according to the temperature data and construct a temperature change curve based on it;

[0042] A rising temperature anomaly detection unit, which is used to judge whether the temperature change rate exceeds a preset rising temperature threshold according to the temperature change curve. When the result is yes, a temperature anomaly signal is generated;

[0043] A cooling correlation analysis unit, which is used to calculate the temperature influence coefficient of the opening duration of the cooling circuit on the hydraulic oil temperature according to the temperature anomaly signal to obtain a cooling adjustment instruction.

[0044] Further, the calculation formula of the temperature influence coefficient is:

[0045] ;

[0046] Wherein, is the temperature influence coefficient, is the initial temperature of the hydraulic oil, is the real-time temperature of the hydraulic oil, is the ambient temperature, is the opening duration of the cooling circuit, is the total operating duration of the hydraulic pump, is the real-time flow rate of the hydraulic oil, is the maximum flow rate allowed by the hydraulic system, is the comprehensive efficiency coefficient of the cooling circuit, is the preset temperature threshold of the hydraulic oil, are coefficients respectively.

[0047] Furthermore, the cooling adjustment module includes:

[0048] A cooling target calculation unit, configured to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and determine the opening frequency of the cooling circuit based on the combination of the temperature change rate of the hydraulic oil;

[0049] A cooling dynamic adjustment unit, configured to dynamically adjust the start and stop of the cooling circuit according to the target opening duration, opening frequency and temperature influence coefficient, so as to ensure that the temperature of the hydraulic oil is maintained within the set range;

[0050] A cooling feedback control unit, configured to adjust the opening duration and opening frequency of the cooling circuit according to the real-time temperature data of the hydraulic oil. When the actual temperature change rate of the hydraulic oil is still higher than the preset heating-up threshold, a secondary cooling adjustment instruction is generated to optimize the cooling process.

[0051] The above solution of the present invention has at least the following beneficial effects:

[0052] The present invention can improve the accuracy and real-time performance of pressure monitoring. Compared with traditional single-point pressure monitoring, by constructing a pressure change curve, the dynamic changes of the hydraulic oil during the shearing process can be captured, enabling the system to more accurately judge the load conditions during the shearing process. By calculating the pressure change gradient, the system can identify sharp pressure changes within a short time and judge the sudden changes of the shearing load accordingly. This dynamic adjustment method based on real-time data can better adapt to the changes of the shearing object compared with the traditional fixed pressure setting mode, improve the shearing quality, and at the same time avoid the problem of too fast temperature rise of the hydraulic oil caused by too high pressure, further extending the service life of the hydraulic system and the shearing blades.

[0053] The present invention can achieve dynamic pressure regulation, enabling the hydraulic shear to adapt to the shearing requirements of materials with different thicknesses and hardnesses. During the actual shearing process, due to the differences in material hardness and thickness, the optimal shearing pressure should also be different. This function can calculate the optimal pressure required during the shearing process in real time and adjust the output of the hydraulic pump to ensure that the blades operate within a reasonable pressure range, avoiding situations of shearing overload or insufficient shearing. It can also reduce hydraulic shock caused by sudden pressure changes and improve the stability of the hydraulic system. When the hydraulic shear shears high-strength materials, the pressure of the hydraulic system may suddenly rise, which may cause the internal pressure of the hydraulic cylinder to exceed its bearing range, thereby affecting the service life of the hydraulic cylinder. By gradually adjusting the pressure of the hydraulic pump, it smoothly approaches the target pressure value, reduces pressure shock, and improves the smoothness and safety of the shearing process.

[0054] The present invention can accurately monitor the change of the oil return flow rate, identify abnormal oil return situations in the hydraulic system. By calculating the instantaneous change rate of the oil return flow rate, it detects whether there is abnormal oil return and generates adjustment instructions in a timely manner to optimize the oil return process, avoiding failures caused by pressure accumulation in the hydraulic system. It can also effectively reduce the local high-temperature problem of the hydraulic oil. By optimizing the oil return flow rate, it reduces the overall temperature of the hydraulic system, improves the stability of the hydraulic oil, and reduces the influence of temperature on the movement accuracy of the shearing blades. It also optimizes the oil return flow rate to make the movement of the hydraulic cylinder smoother, reduces the return stroke time, improves the continuity and efficiency of the shearing process. This method can not only improve the productivity of the equipment but also reduce the loss of the hydraulic system and extend the service life of the equipment.

[0055] The present invention can achieve intelligent regulation of the oil return channel. During the actual shearing process, due to the differences in the thickness and hardness of the shearing materials, the optimal value of the oil return flow rate should also change accordingly. It can also dynamically adjust the opening degree of the oil return channel according to the real-time data of the oil return flow rate to ensure a smooth oil return process, improve the overall stability of the hydraulic system, effectively reduce the problem of blocked oil return of the hydraulic oil, and improve the stability of the shearing process. By automatically adjusting the opening degree of the oil return channel, it optimizes the movement of the hydraulic cylinder, ensures the synchronization of the shearing blades, improves the shearing accuracy, reduces the temperature rise of the hydraulic system, improves the durability of the equipment and the circulation efficiency of the pressure oil, reduces the problem of temperature accumulation, and improves the reliability of the hydraulic system.

[0056] The present invention can accurately monitor the temperature change of hydraulic oil, timely detect abnormal temperature rise. When the hydraulic shear is under high-intensity shearing, the temperature of the hydraulic oil may rise rapidly. It can calculate the temperature change rate, predict the trend of the hydraulic oil temperature, reduce the problem of performance degradation of the hydraulic oil caused by high temperature, and also reduce the problem of viscosity reduction of the hydraulic oil caused by too high temperature, improve the stability of the shearing system. It can also dynamically judge whether cooling adjustment is needed according to the temperature data of the hydraulic oil, so as to keep the hydraulic oil within an appropriate temperature range and ensure the stable operation of the hydraulic system. It can also control the working state of the cooling system, trigger the cooling adjustment instruction only when necessary, and make the cooling system start at the most appropriate time, avoiding energy waste caused by overcooling. This can not only reduce the operation cost of the equipment, but also improve the overall energy efficiency of the hydraulic shear, making the equipment operation more intelligent and energy-saving.

[0057] The present invention can realize the intelligent adjustment of the cooling system, avoid equipment damage caused by too high temperature of the hydraulic oil, calculate the optimal opening duration of the cooling circuit, and automatically adjust the start and stop of the cooling system to ensure that the temperature of the hydraulic oil is always maintained within an appropriate range. By accurately adjusting the operation time and frequency of the cooling system, the temperature change of the hydraulic oil is kept within a controllable range, thereby ensuring the stability of the hydraulic cylinder movement, improving the shearing quality, and reducing the problem of blade offset load that may occur during the shearing process. It can also avoid overheating of the hydraulic oil through a reasonable cooling strategy, improve the durability of the hydraulic system, thereby reducing the long-term operation cost of the equipment and enhancing the economic benefits of the equipment. It can also calculate the optimal opening time of the cooling circuit according to the real-time temperature and temperature change rate of the hydraulic oil, reduce unnecessary energy consumption, not only reduce the operation cost of the equipment, but also reduce energy waste, and achieve a more environmentally friendly and energy-saving production method. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow block diagram of a hydraulic system of a mobile hydraulic shear provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0060] As Figure 1 shown, an embodiment of the present invention provides a hydraulic system of a mobile hydraulic shear, and the system includes:

[0061] A data acquisition module, which is used to collect the pressure data, flow rate data and temperature data of hydraulic oil during the shearing process to obtain an initial data set;

[0062] A data preprocessing module, which is used to preprocess the initial data set, remove redundant data and unify the unit dimensions to obtain a hydraulic oil data set;

[0063] A pressure analysis module, which is used to draw a pressure change curve of the hydraulic oil changing with time during the shearing process according to the pressure data in the hydraulic oil data set, calculate the pressure change gradient according to it, analyze whether there is abnormal pressure fluctuation in the current shearing, and obtain a load adjustment instruction;

[0064] A load adjustment module, which is used to calculate the target pressure value of the hydraulic oil during the shearing process according to the load adjustment instruction, and adjust the output pressure value of the hydraulic pump to the target pressure value according to it;

[0065] A flow rate analysis module, which is used to calculate the change rate of the oil return flow in adjacent time periods according to the flow rate data in the hydraulic oil data set to obtain the instantaneous oil return change rate, extract the oil return opening value of the oil return channel according to it, and analyze whether the oil return flow fluctuation is caused by the change of the opening value of the oil return channel to obtain an oil return adjustment instruction;

[0066] An opening adjustment module, which is used to calculate the target opening value of the oil return channel according to the oil return adjustment instruction, and adjust the opening value of the oil return channel to the target opening value according to it;

[0067] A temperature analysis module, which is used to calculate the temperature change rate of the hydraulic oil per unit time according to the temperature data in the hydraulic oil data set, and judge whether there is abnormal temperature rise of the hydraulic oil according to it to obtain a cooling adjustment instruction;

[0068] A cooling adjustment module, which is used to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and maintain the opening duration of the cooling circuit to the target opening duration according to it.

[0069] In an embodiment of the present invention, a data acquisition module is configured to collect pressure data, flow rate data, and temperature data of hydraulic oil during the shearing process to obtain an initial data set, providing data support for subsequent analysis through real-time data acquisition; a data preprocessing module is configured to preprocess the initial data set, remove redundant data, and unify the unit dimension to obtain a hydraulic oil data set, improving data quality and the accuracy of subsequent analysis by removing noise and redundant data; a pressure analysis module is configured to draw a pressure change curve of the hydraulic oil over time during the shearing process based on the pressure data in the hydraulic oil data set, calculate the pressure change gradient based on it, analyze whether there is abnormal pressure fluctuation during the current shearing, and obtain a load adjustment instruction, which can quickly detect abnormal pressure fluctuations and avoid hydraulic shock caused by sudden load changes; a load adjustment module is configured to calculate the target pressure value of the hydraulic oil during the shearing process according to the load adjustment instruction and adjust the output pressure value of the hydraulic pump to the target pressure value based on it, avoiding hydraulic shock caused by sudden pressure changes and improving the stability and service life of the hydraulic system.

[0070] A flow rate analysis module is configured to calculate the change rate of the oil return flow in adjacent time periods based on the flow rate data in the hydraulic oil data set to obtain an instantaneous oil return change rate, extract the oil return opening value of the oil return channel based on it, analyze whether the oil return flow fluctuation is caused by the change of the opening value of the oil return channel, and obtain an oil return adjustment instruction, ensuring the stability of the oil return process of the hydraulic system by monitoring the change of the oil return flow rate and avoiding pressure accumulation caused by poor oil return; an opening adjustment module is configured to calculate the target opening value of the oil return channel according to the oil return adjustment instruction and adjust the opening value of the oil return channel to the target opening value based on it, avoiding instability during the shearing process caused by improper opening of the oil return channel and improving the shearing accuracy and equipment life; a temperature analysis module is configured to calculate the temperature change rate of the hydraulic oil per unit time based on the temperature data in the hydraulic oil data set and judge whether there is abnormal temperature rise of the hydraulic oil based on it to obtain a cooling adjustment instruction, detecting the high-temperature problem of the hydraulic system in advance through the analysis of the temperature change rate and preventing the viscosity reduction caused by overheating of the hydraulic oil from affecting the smooth movement of the hydraulic cylinder; a cooling adjustment module is configured to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction and maintain the opening duration of the cooling circuit at the target opening duration based on it, avoiding uneven shearing problems caused by too high temperature of the hydraulic oil through intelligent adjustment of the cooling system and improving the shearing quality.

[0071] Among them, the data acquisition module is configured to collect pressure data, flow rate data, and temperature data of hydraulic oil during the shearing process to obtain an initial data set, specifically including:

[0072] To ensure that key data of the hydraulic system can be comprehensively collected, the data acquisition module adopts a multi-sensor layout method, including:

[0073] Pressure sensor: Arranged in the areas of the hydraulic pump outlet, the hydraulic cylinder inlet, and the oil cylinder near the shear blade to detect the dynamic changes in pressure during the shearing process;

[0074] Flow sensor: Installed in the return oil pipeline and the hydraulic pump outlet to monitor the flow rate of the hydraulic oil and the return oil situation in real time;

[0075] Temperature sensor: Installed at positions such as the hydraulic pump outlet, the cooling system inlet, and the return oil pipeline to ensure the data integrity of the hydraulic oil temperature during the entire cycle.

[0076] The acquisition frequency can be adjusted according to the working mode of the hydraulic shear. For example, in the high-load shearing mode, the sampling frequency is increased to 500 Hz per second, while in the low-load situation, it is reduced to 200 Hz per second to reduce data redundancy and system burden;

[0077] Industrial Ethernet is used for data transmission to improve the data transmission rate and ensure real-time performance;

[0078] A data buffer is set. When the data collected by the sensor reaches a certain quantity, it is batch-transmitted to the data processing unit to improve the system data processing efficiency.

[0079] The first-in-first-out queue mechanism is used to store data to ensure that the latest data participates in the calculation first;

[0080] Timestamps are marked on the data to ensure correct matching of data between different modules;

[0081] Wireless transmission or wired network transmission is adopted to support remote monitoring and diagnosis and improve the intelligence level of the hydraulic shear.

[0082] Among them, the data preprocessing module is used to preprocess the initial data set, remove redundant data and unify the unit dimension to obtain the hydraulic oil data set, specifically including:

[0083] Noise data, outliers or incomplete data may appear during the data acquisition process, so data cleaning is required:

[0084] Abnormal data detection: The three-sigma principle or the box plot method is used to detect abnormal points in the data. If the collected pressure value far exceeds the normal range, it is determined as abnormal;

[0085] Data interpolation: For short-term data missing, linear interpolation or moving window mean is used for filling to ensure data continuity;

[0086] Removing mutation noise: The median filtering algorithm is used to eliminate the noise data caused by sensor jitter or electromagnetic interference.

[0087] Since the data formats and units of different sensors may be different, format conversion is required:

[0088] Unit conversion: All pressure values are converted to MPa, flow rates are converted to L / min, and temperatures are converted to °C;

[0089] Data structure standardization: Convert all data to floating point format and store them with a fixed number of decimal places to ensure that the calculation is not affected by the format.

[0090] In order to reduce data fluctuations and improve the stability of system regulation, the data is smoothed:

[0091] Sliding mean filtering: Use the sliding window mean method to smooth the data, reduce short-term drastic fluctuations, and improve data stability;

[0092] Exponentially weighted moving average: For pressure data and flow rate data, an exponentially weighted method is used to give more recent data a higher weight, ensuring that the system can respond quickly to sudden changes while reducing the impact of small disturbances on the control system.

[0093] The preprocessed data needs to be transferred to the subsequent analysis module in a standardized structure:

[0094] Time series storage: Store data in chronological order and ensure that each data point has an accurate timestamp;

[0095] Data compression: For remote monitoring data transmitted to the cloud, wavelet compression is used to reduce the amount of transmitted data and improve system efficiency.

[0096] In a preferred embodiment of the present invention, the pressure analysis module includes:

[0097] A pressure curve generating unit is used to determine the instantaneous pressure value of the hydraulic oil according to the pressure data at a preset time point, and to construct a pressure change curve of the pressure changing with time based on the pressure data;

[0098] A pressure gradient calculation unit is used to perform differential processing on the pressure change curve and calculate the pressure change gradient at each time point;

[0099] An abnormal pressure identification unit is used to detect whether the pressure change at each time point exceeds a preset pressure threshold according to the pressure change gradient, and generate an abnormal pressure fluctuation signal;

[0100] The load adjustment instruction generating unit is used to calculate the pressure correction amount in the shearing process according to the abnormal pressure fluctuation signal and generate the load adjustment instruction.

[0101] In an embodiment of the present invention, a pressure curve generation unit is configured to determine the instantaneous pressure value of hydraulic oil according to pressure data at preset time points, and construct a pressure change curve of pressure varying with time based on it. By generating a complete pressure curve, accurate data support can be provided for subsequent pressure gradient calculation and anomaly detection; a pressure gradient calculation unit is configured to perform differential processing on the pressure change curve and calculate the pressure change gradient at each time point. By calculating the pressure gradient, the pressure change trend can be more accurately reflected; an abnormal pressure identification unit is configured to detect whether the pressure change at each time point exceeds a preset pressure threshold according to the pressure change gradient and generate an abnormal pressure fluctuation signal. By setting the threshold and comparing the gradients, abnormal pressure fluctuations can be accurately identified; a load adjustment instruction generation unit is configured to calculate the pressure correction amount during the shearing process according to the abnormal pressure fluctuation signal and generate a load adjustment instruction. By calculating the pressure correction amount, the system can dynamically adjust the pressure.

[0102] Among them, the load adjustment instruction generation unit is configured to calculate the pressure correction amount during the shearing process according to the abnormal pressure fluctuation signal and generate a load adjustment instruction, specifically including:

[0103] This unit receives the abnormal pressure fluctuation signal and analyzes whether the current pressure state deviates from the normal shearing range;

[0104] If an abnormal pressure fluctuation is detected, the pressure correction amount is further calculated, and the calculation of the pressure correction amount is based on the amplitude and trend of the abnormal pressure fluctuation;

[0105] The pressure correction amount The calculation method:

[0106] ;

[0107] Among them, is the pressure change gradient at the current time point, is the adjustment coefficient, which is set according to experimental data and is used to control the amplitude of the correction.

[0108] In a preferred embodiment of the present invention, the load adjustment module includes:

[0109] A target pressure calculation unit is configured to calculate the target pressure value of the hydraulic pump during the shearing process according to the pressure correction amount;

[0110] A pressure adjustment step determination unit is configured to calculate the pressure deviation amount according to the target pressure value and the actual output pressure value, and calculate the pressure adjustment step based on it to generate a pressure adjustment instruction;

[0111] The pressure feedback control unit is used to gradually adjust the output pressure value of the hydraulic pump according to the pressure adjustment instruction, making it approach the target pressure value, and ensuring the pressure stability during shearing by real-time monitoring of the adjusted pressure change.

[0112] In an embodiment of the present invention, the target pressure calculation unit is used to calculate the target pressure value of the hydraulic pump during the shearing process according to the pressure correction amount, calculating the most suitable pressure value to avoid shearing failure caused by insufficient pressure or equipment damage caused by excessive pressure; the pressure adjustment step determination unit is used to calculate the pressure deviation amount according to the target pressure value and the actual output pressure value, and calculate the pressure adjustment step according to it, generating a pressure adjustment instruction to ensure that the pressure adjustment process is gradual rather than sudden, avoiding hydraulic system shock or damage to the shearing blade caused by sudden pressure rise; the pressure feedback control unit is used to gradually adjust the output pressure value of the hydraulic pump according to the pressure adjustment instruction, making it approach the target pressure value, and ensuring the pressure stability during shearing by real-time monitoring of the adjusted pressure change. Through real-time pressure feedback control, the output pressure of the hydraulic pump can be accurately controlled within the target range, improving the stability of the shearing process.

[0113] In a preferred embodiment of the present invention, the calculation formula for the pressure adjustment step is:

[0114] ;

[0115] Wherein, is the pressure adjustment step, is the target pressure value, is the actual output pressure value, is the pressure deviation amount, is the length of the sheared item, is the thickness of the sheared item, is the maximum adjustment step allowed by the hydraulic pump, , is the theoretical adjustment step, is the minimum value function. When , then . When , then , are coefficients respectively.

[0116] In the embodiment of the present invention, by calculating the theoretical pressure adjustment step, the pressure adjustment process is made more stable, avoiding excessive one-time adjustment amplitude that may cause system oscillation, ensuring more precise pressure adjustment during the shearing process, and improving the shearing quality of the hydraulic shear. Through the constraint of the maximum adjustment step, the problem of pressure fluctuation caused by too fast adjustment of the hydraulic system is avoided, improving the stability of the system. The calculation formula of the pressure adjustment step combines the physical characteristics of the sheared item, making the pressure adjustment process more targeted, ensuring the shearing quality and equipment safety. By adjusting the pressure step by step, it prevents the pressure from adjusting too fast and too violently during the pressure adjustment process, avoiding mechanical damage caused by pressure shock to the hydraulic system. When the hydraulic shear shears high-strength steel or thick-walled materials, the shearing blades can work within the most suitable pressure range, improving the shearing quality and efficiency.

[0117] In a preferred embodiment of the present invention, the flow rate analysis module includes:

[0118] An oil return flow rate change calculation unit, configured to calculate the change rate of the oil return flow rate in adjacent time periods according to the flow rate data, obtain the instantaneous oil return change rate, and record the distribution of the instantaneous oil return change rate in each time period to form a flow rate fluctuation sequence;

[0119] An oil return opening extraction unit, configured to extract the oil return opening value of the oil return channel in the corresponding time period according to the flow rate fluctuation sequence, and establish an association relationship between the oil return opening value and the instantaneous oil return change rate based on it to obtain an oil return opening flow rate relationship data set;

[0120] An opening matching analysis unit, configured to calculate the actual oil return opening deviation value of the oil return channel in the current time period according to the oil return opening flow rate relationship data set, and determine whether the oil return flow rate fluctuation is caused by the change of the opening value. When the result is yes, an oil return adjustment instruction is generated.

[0121] In an embodiment of the present invention, an oil return flow rate change calculation unit is configured to calculate the change rate of the oil return flow rate in adjacent time periods based on the flow velocity data, obtain the instantaneous oil return change rate, and record the distribution of the instantaneous oil return change rate in each time period to form a flow rate fluctuation sequence. By calculating the instantaneous oil return change rate, the fluctuation of the hydraulic oil return can be accurately identified, avoiding the instability of the system pressure caused by sudden changes in the flow rate; an oil return opening extraction unit is configured to extract the oil return opening value of the oil return channel in the corresponding time period based on the flow rate fluctuation sequence, and establish the correlation between the oil return opening value and the instantaneous oil return change rate according to it to obtain an oil return opening flow rate relationship data set, and establish the correlation between the opening value and the flow rate change rate, so that the system can predict the fluctuation of the oil return flow rate through the change of the opening of the oil return channel, improving the controllability of the hydraulic system; an opening matching analysis unit is configured to calculate the actual oil return opening deviation value of the oil return channel in the current time period according to the oil return opening flow rate relationship data set, and determine whether the oil return flow rate fluctuates due to the change of the opening value. When the result is yes, an oil return adjustment instruction is generated. By calculating the actual oil return opening deviation value, the system can accurately analyze the cause of the change of the oil return flow rate, avoiding the problem of flow rate instability caused by improper setting of the opening of the oil return channel.

[0122] In a preferred embodiment of the present invention, the oil return opening extraction unit includes:

[0123] An opening data acquisition unit is configured to synchronously acquire the oil return channel opening value in the corresponding time period based on the flow rate fluctuation sequence to obtain an opening value sequence;

[0124] A data pairing unit is configured to pair the change amount of the oil return channel opening value and the change amount of the instantaneous oil return change rate in adjacent time periods according to the opening value sequence and the flow rate fluctuation sequence to obtain an oil return opening flow rate change data set;

[0125] A relationship fitting unit is configured to calculate the correlation between the oil return opening value and the instantaneous oil return change rate according to the oil return opening flow rate change data set, and select a linear regression model according to it, calculate the parameters of the linear regression model to obtain a fitting model;

[0126] An association relationship storage unit is configured to store the fitting model into the oil return opening flow rate relationship data set and dynamically update it during the shearing process to ensure the mutual matching of the oil return opening and the instantaneous oil return change rate.

[0127] In the embodiments of the present invention, an opening data acquisition unit is configured to synchronously acquire the opening values of the oil return passage corresponding to a corresponding time period according to the flow fluctuation sequence, so as to obtain an opening value sequence. By synchronously acquiring the flow fluctuation sequence and the opening values of the oil return passage, the time consistency of the data is ensured, and the data matching accuracy is improved; a data pairing unit is configured to pair the change amount of the opening value of the oil return passage and the change amount of the instantaneous oil return change rate within adjacent time periods according to the opening value sequence and the flow fluctuation sequence, so as to obtain an oil return opening flow change data set. Through data pairing, a corresponding relationship between the oil return opening value and the instantaneous oil return change rate is established, enabling the system to quantify the influence of the oil return opening on the oil return flow; a relationship fitting unit is configured to calculate the correlation between the oil return opening value and the instantaneous oil return change rate according to the oil return opening flow change data set, and select a linear regression model based on this, calculate the parameters of the linear regression model, and obtain a fitting model. By establishing a mathematical model, the system can predict the influence of the adjustment of the oil return passage opening on the oil return flow velocity, improving the accuracy of adjustment; an association relationship storage unit is configured to store the fitting model into the oil return opening flow relationship data set and dynamically update it during the shearing process, ensuring the mutual matching of the oil return opening and the instantaneous oil return change rate. By storing and dynamically updating the relationship data set between the oil return opening and the flow, the system can continuously optimize the oil return adjustment strategy and improve the adaptive ability of the system.

[0128] Among them, the relationship fitting unit is configured to calculate the correlation between the oil return opening value and the instantaneous oil return change rate according to the oil return opening flow change data set, and select a linear regression model based on this, calculate the parameters of the linear regression model, and obtain a fitting model, specifically including:

[0129] By calculating the Pearson correlation coefficient between the oil return opening value and the instantaneous oil return change rate .

[0130] Through the Pearson correlation coefficient Judge the correlation intensity:

[0131] If >0.8 indicates a strong correlation, and linear regression modeling can be directly used;

[0132] If 0.5 < ≤0.8 indicates a medium correlation. Linear regression can be tried, but variable transformation may be required;

[0133] If ≤0.5 indicates a weak correlation or no correlation, and non-linear regression methods may need to be considered.

[0134] Select a preliminary model according to the correlation intensity, then conduct a preliminary fitting test, and use the least squares method to train the preliminary model to solve the model coefficients;

[0135] Store the finally obtained model coefficients in the database and associate them with the dataset of the relationship between the return oil opening and the flow rate. During the shearing process, update the model in real time to ensure that the fitted model can adapt to different working conditions.

[0136] In a preferred embodiment of the present invention, the opening adjustment module includes:

[0137] A target opening calculation unit, configured to calculate the target opening value of the return oil passage according to the return oil adjustment instruction, and calculate the influence of the adjusted target opening value on the flow rate change rate to obtain the predicted instantaneous return oil change rate;

[0138] An opening dynamic adjustment unit, configured to stepwise adjust the opening value of the return oil passage according to the actual opening value of the return oil passage to make it gradually approach the target opening value;

[0139] An opening feedback correction unit, configured to calculate the adjusted actual instantaneous return oil change rate and compare it with the predicted instantaneous return oil change rate. When there is a deviation, correct the target opening value and perform a secondary adjustment to ensure that the opening value of the return oil passage matches the hydraulic oil flow rate.

[0140] In an embodiment of the present invention, the target opening calculation unit is configured to calculate the target opening value of the return oil passage according to the return oil adjustment instruction, and calculate the influence of the adjusted target opening value on the flow rate change rate to obtain the predicted instantaneous return oil change rate. By calculating the target opening value based on the flow data and the historical data of the return oil opening, the adjustment of the return oil passage is more adaptable and can respond to the changes of different shearing loads in real time; the opening dynamic adjustment unit is configured to stepwise adjust the opening value of the return oil passage according to the actual opening value of the return oil passage to make it gradually approach the target opening value. By adopting a progressive adjustment method, the change of the return oil opening is more stable, preventing sudden fluctuations in the hydraulic system; the opening feedback correction unit is configured to calculate the adjusted actual instantaneous return oil change rate and compare it with the predicted instantaneous return oil change rate. When there is a deviation, correct the target opening value and perform a secondary adjustment to ensure that the opening value of the return oil passage matches the hydraulic oil flow rate. Through feedback adjustment, the control accuracy of the return oil passage is improved, ensuring the stability of the hydraulic oil flow rate during the shearing process.

[0141] Among them, the target opening calculation unit is configured to calculate the target opening value of the return oil passage according to the return oil adjustment instruction, and calculate the influence of the adjusted target opening value on the flow rate change rate to obtain the predicted instantaneous return oil change rate, specifically including:

[0142] During the shearing process, the system obtains the real-time data of the return oil flow from the flow rate analysis module and calculates the return oil flow change rate in adjacent time periods to form a return oil flow change sequence;

[0143] Extract the historical oil return opening values under the current shear state from the oil return opening flow relationship dataset according to the oil return flow change sequence, and calculate the target oil return opening value for the current time period based on the linear regression model;

[0144] The calculation formula for the target oil return opening value can be expressed as:

[0145] ;

[0146] Wherein, is the target oil return opening value at the current time point, is the target oil return opening value at the previous time point, are the oil return flows at the current time point and the previous time point respectively, is the time interval between the current time point and the previous time point, is the coefficient.

[0147] After calculating the target oil return opening value, the system inputs this value into the flow oil return mathematical model to predict the instantaneous oil return change rate of the adjusted hydraulic oil;

[0148] The calculation formula for predicting the instantaneous oil return change rate can be expressed as:

[0149] ;

[0150] Wherein, is the predicted instantaneous oil return change rate, is the target oil return opening value at the current time point, is the coefficient, is the constant.

[0151] In a preferred embodiment of the present invention, the temperature analysis module includes:

[0152] A temperature change calculation unit for calculating the temperature change rate of the hydraulic oil in adjacent time periods according to the temperature data and constructing a temperature change curve based on it;

[0153] A temperature rise anomaly detection unit for judging whether the temperature change rate exceeds a preset temperature rise threshold according to the temperature change curve, and generating a temperature anomaly signal when the result is yes;

[0154] A cooling correlation analysis unit for calculating the temperature influence coefficient of the opening duration of the cooling circuit on the temperature of the hydraulic oil according to the temperature anomaly signal to obtain a cooling adjustment instruction.

[0155] In the embodiment of the present invention, the temperature change calculation unit is used to calculate the temperature change rate of the hydraulic oil in adjacent time periods according to the temperature data and construct a temperature change curve based on it, generating a temperature change curve, enabling the system to intuitively analyze the temperature change trend and avoiding misjudgment caused by short-term temperature fluctuations;

[0156] The abnormal temperature rise detection unit is used to judge whether the temperature change rate exceeds a preset temperature rise threshold according to the temperature change curve. When the result is yes, a temperature anomaly signal is generated. By setting the temperature change rate threshold, normal temperature rise and abnormal temperature rise can be more accurately distinguished, avoiding ineffective cooling operations;

[0157] The cooling correlation analysis unit is used to calculate the temperature influence coefficient of the opening duration of the cooling circuit on the hydraulic oil temperature according to the temperature anomaly signal, and obtain a cooling adjustment instruction. By dynamically optimizing the cooling strategy, the energy efficiency of the cooling system is improved and energy waste is reduced.

[0158] In a preferred embodiment of the present invention, the calculation formula of the temperature influence coefficient is:

[0159] ;

[0160] where, is the temperature influence coefficient, is the initial temperature of the hydraulic oil, is the real-time temperature of the hydraulic oil, is the ambient temperature, is the opening duration of the cooling circuit, is the total operating duration of the hydraulic pump, is the real-time flow rate of the hydraulic oil, is the maximum flow rate allowed by the hydraulic system, is the comprehensive efficiency coefficient of the cooling circuit, is the preset temperature threshold of the hydraulic oil, are coefficients respectively.

[0161] In the embodiment of the present invention, a logarithmic function is used to calculate the temperature drop amplitude, which is used to measure the temperature drop degree of the current hydraulic oil and is related to the ambient temperature. The logarithmic form ensures that the influence is greater in the initial stage of cooling and decreases in the later stage, which is more in line with the actual situation of the hydraulic cooling process; combined with the influence of the opening duration of the cooling circuit on the temperature, the ratio of the cooling opening duration to the total operating duration of the system is normalized to ensure the calculation stability under different working conditions. By the coefficient regulates the non-linear influence, so that the increase in cooling time brings a non-linear effect, avoiding over-cooling or under-cooling; combined with the influence of the hydraulic oil flow rate on the cooling capacity, since the hydraulic oil flow rate has a non-linear influence on the heat exchange capacity of the cooling system, an exponential function is used to regulate it here; the influence of the cooling circuit decays exponentially with time, indicating that the cooling effect gradually tends to saturation after a long time of opening, which is in line with the heat conduction characteristics of the actual cooling system.

[0162] where, has the unit , has the unit , so as to ensure the number of items and has no unit.

[0163] In a preferred embodiment of the present invention, the cooling adjustment module includes:

[0164] A cooling target calculation unit, configured to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and determine the opening frequency of the cooling circuit based on the combination of the hydraulic oil temperature change rate;

[0165] A cooling dynamic adjustment unit, configured to dynamically adjust the start and stop of the cooling circuit according to the target opening duration, opening frequency and temperature influence coefficient, so as to ensure that the hydraulic oil temperature is maintained within the set range;

[0166] A cooling feedback control unit, configured to adjust the opening duration and opening frequency of the cooling circuit according to the real-time temperature data of the hydraulic oil. When the actual temperature change rate of the hydraulic oil is still higher than the preset temperature rise threshold, a secondary cooling adjustment instruction is generated to optimize the cooling process.

[0167] In the embodiment of the present invention, the cooling target calculation unit is configured to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and determine the opening frequency of the cooling circuit based on the combination of the hydraulic oil temperature change rate. By calculating the target opening duration and opening frequency of the cooling circuit, the cooling process is made more accurate, the temperature control accuracy of the hydraulic oil is improved, and the problems of overcooling or insufficient cooling are avoided; the cooling dynamic adjustment unit is configured to dynamically adjust the start and stop of the cooling circuit according to the target opening duration, opening frequency and temperature influence coefficient, so as to ensure that the hydraulic oil temperature is maintained within the set range. By dynamically adjusting the opening duration and frequency of the cooling circuit, the cooling system can adapt to different working conditions and improve the cooling efficiency; the cooling feedback control unit is configured to adjust the opening duration and opening frequency of the cooling circuit according to the real-time temperature data of the hydraulic oil. When the actual temperature change rate of the hydraulic oil is still higher than the preset temperature rise threshold, a secondary cooling adjustment instruction is generated to optimize the cooling process. By optimizing the cooling strategy through real-time data feedback, the cooling circuit can restore the hydraulic oil temperature to a reasonable range in the shortest time and improve the equipment operation efficiency.

[0168] Among them, the cooling target calculation unit is configured to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and determine the opening frequency of the cooling circuit based on the combination of the hydraulic oil temperature change rate, specifically including:

[0169] Calculate the target opening duration based on the temperature change rate and the preset temperature threshold of the hydraulic system:

[0170] ;

[0171] Among them, is the target opening duration, is the actual temperature of the hydraulic oil, is the preset normal temperature of the hydraulic oil, is the temperature change rate, and are coefficients respectively;

[0172] During the operation of the cooling system, continuously monitor the temperature drop rate of the hydraulic oil. The temperature drop rate is calculated by the formula:

[0173] ;

[0174] wherein, is the actual temperature of the hydraulic oil, is the temperature at a certain time point after the hydraulic oil is cooled, is the time difference;

[0175] The opening frequency of the cooling system is calculated by the formula:

[0176] ;

[0177] wherein, is the temperature drop rate, is the temperature change rate, that is, the heating change rate before cooling, is the coefficient.

[0178] The above is the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A hydraulic system of a mobile hydraulic shear, characterized in that, The system includes: A data acquisition module, which is used to collect the pressure data, flow rate data and temperature data of the hydraulic oil during the shearing process to obtain an initial data set; A data preprocessing module, which is used to preprocess the initial data set, remove redundant data and unify the unit dimension to obtain a hydraulic oil data set; A pressure analysis module, which is used to draw a pressure change curve of the hydraulic oil changing with time during the shearing process according to the pressure data in the hydraulic oil data set, calculate the pressure change gradient according to it, analyze whether there is abnormal pressure fluctuation during the current shearing, and obtain a load adjustment instruction; A load adjustment module, which is used to calculate the target pressure value of the hydraulic oil during the shearing process according to the load adjustment instruction, and adjust the output pressure value of the hydraulic pump to the target pressure value according to it; A flow rate analysis module, which is used to calculate the change rate of the oil return flow in adjacent time periods according to the flow rate data in the hydraulic oil data set to obtain an instantaneous oil return change rate, extract the oil return opening value of the oil return channel according to it, and analyze whether the oil return flow fluctuation is caused by the change of the opening value of the oil return channel to obtain an oil return adjustment instruction; An opening adjustment module, which is used to calculate the target opening value of the oil return channel according to the oil return adjustment instruction, and adjust the opening value of the oil return channel to the target opening value according to it; A temperature analysis module, which is used to calculate the temperature change rate of the hydraulic oil per unit time according to the temperature data in the hydraulic oil data set, and judge whether there is abnormal temperature rise of the hydraulic oil according to it to obtain a cooling adjustment instruction; A cooling adjustment module, which is used to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and maintain the opening duration of the cooling circuit to the target opening duration according to it; The load adjustment module includes: A target pressure calculation unit, which is used to calculate the target pressure value of the hydraulic pump during the shearing process according to the pressure correction amount; A pressure adjustment step determination unit, which is used to calculate the pressure deviation amount according to the target pressure value and the actual output pressure value, calculate the pressure adjustment step according to it, and generate a pressure adjustment instruction; A pressure feedback control unit, which is used to gradually adjust the output pressure value of the hydraulic pump according to the pressure adjustment instruction to make it approach the target pressure value, and ensure the pressure stability during shearing by real-time monitoring of the adjusted pressure change; The calculation formula of the pressure adjustment step is: ， Wherein, is the pressure adjustment step size, is the target pressure value, is the actual output pressure value, is the pressure deviation amount, is the length of the sheared item, is the thickness of the sheared item, is the maximum adjustment step size allowed by the hydraulic pump, , is the theoretical adjustment step size, is the minimum value function. When , then . When , then , are coefficients respectively.

2. The hydraulic system of a mobile hydraulic shear according to claim 1, characterized in that, The pressure analysis module includes: A pressure curve generation unit, which is used to determine the instantaneous pressure value of the hydraulic oil according to the pressure data at preset time points, and construct a pressure change curve of the pressure changing with time according to it; A pressure gradient calculation unit, which is used to perform differential processing on the pressure change curve to calculate the pressure change gradient at each time point; An abnormal pressure identification unit, which is used to detect whether the pressure change at each time point exceeds the preset pressure threshold according to the pressure change gradient, and generate an abnormal pressure fluctuation signal; A load adjustment instruction generation unit, which is used to calculate the pressure correction amount during the shearing process according to the abnormal pressure fluctuation signal, and generate a load adjustment instruction.

3. The hydraulic system of a mobile hydraulic shear according to claim 2, characterized in that, The flow rate analysis module includes: An oil return flow rate change calculation unit, configured to calculate the change rate of the oil return flow rate in adjacent time periods according to the flow velocity data, obtain the instantaneous oil return change rate, and record the distribution of the instantaneous oil return change rate in each time period to form a flow rate fluctuation sequence; An oil return opening extraction unit, configured to extract the oil return opening value of the oil return channel in the corresponding time period according to the flow rate fluctuation sequence, and establish the correlation relationship between the oil return opening value and the instantaneous oil return change rate based on it to obtain an oil return opening flow rate relationship data set; An opening matching analysis unit, configured to calculate the actual oil return opening deviation value of the oil return channel in the current time period according to the oil return opening flow rate relationship data set, and determine whether the oil return flow rate fluctuates due to the change of the opening value. When the result is yes, an oil return adjustment instruction is generated.

4. The hydraulic system of a mobile hydraulic shear according to claim 3, characterized in that, The oil return opening extraction unit includes: An opening data acquisition unit, configured to synchronously acquire the oil return channel opening value in the corresponding time period according to the flow rate fluctuation sequence to obtain an opening value sequence; A data pairing unit, configured to pair the change amount of the oil return channel opening value and the change amount of the instantaneous oil return change rate in adjacent time periods according to the opening value sequence and the flow rate fluctuation sequence to obtain an oil return opening flow rate change data set; A relationship fitting unit, configured to calculate the correlation between the oil return opening value and the instantaneous oil return change rate according to the oil return opening flow rate change data set, select a linear regression model according to it, calculate the parameters of the linear regression model, and obtain a fitting model; An association relationship storage unit, configured to store the fitting model into the oil return opening flow rate relationship data set and dynamically update it during the shearing process to ensure the mutual matching of the oil return opening and the instantaneous oil return change rate.

5. The hydraulic system of a mobile hydraulic shear according to claim 4, characterized in that, The opening adjustment module includes: A target opening calculation unit, configured to calculate the target opening value of the oil return channel according to the oil return adjustment instruction, and calculate the influence of the adjusted target opening value on the flow velocity change rate to obtain a predicted instantaneous oil return change rate; An opening dynamic adjustment unit, configured to stepwise adjust the opening value of the oil return channel according to the actual opening value of the oil return channel to make it gradually approach the target opening value; An opening feedback correction unit, configured to calculate the adjusted actual instantaneous oil return change rate, compare it with the predicted instantaneous oil return change rate. When there is a deviation, the target opening value is corrected and a secondary adjustment is performed to ensure that the oil return channel opening value matches the hydraulic oil flow rate.

6. The hydraulic system of a mobile hydraulic shear according to claim 5, characterized in that, The temperature analysis module includes: A temperature change calculation unit, configured to calculate the temperature change rate of the hydraulic oil in adjacent time periods according to the temperature data, and construct a temperature change curve based on it; A temperature rise anomaly detection unit, configured to judge whether the temperature change rate exceeds a preset temperature rise threshold according to the temperature change curve. When the result is yes, a temperature anomaly signal is generated; A cooling correlation analysis unit, configured to calculate the temperature influence coefficient of the opening duration of the cooling circuit on the hydraulic oil temperature according to the temperature anomaly signal to obtain a cooling adjustment instruction.

7. The hydraulic system of a mobile hydraulic shear according to claim 6, characterized in that, The calculation formula of the temperature influence coefficient is: ， Among them, is the temperature influence coefficient, is the initial temperature of the hydraulic oil, is the real-time temperature of the hydraulic oil, is the ambient temperature, is the opening duration of the cooling circuit, is the total operating duration of the hydraulic pump, is the real-time flow rate of the hydraulic oil, is the maximum flow rate allowed by the hydraulic system, is the comprehensive efficiency coefficient of the cooling circuit, is the preset temperature threshold of the hydraulic oil, are coefficients respectively.

8. The hydraulic system of a mobile hydraulic shear according to claim 7, characterized in that, The cooling adjustment module includes: A cooling target calculation unit, configured to calculate the target opening duration of the cooling circuit according to the cooling adjustment instruction, and determine the opening frequency of the cooling circuit based on it in combination with the hydraulic oil temperature change rate; A cooling dynamic adjustment unit, which is used to dynamically adjust the start and stop of the cooling circuit according to the target opening duration, opening frequency and temperature influence coefficient, so as to ensure that the hydraulic oil temperature is maintained within the set range; A cooling feedback control unit, which is used to adjust the opening duration and opening frequency of the cooling circuit according to the real-time temperature data of the hydraulic oil. When the actual temperature change rate of the hydraulic oil is still higher than the preset heating threshold, a secondary cooling adjustment instruction is generated to optimize the cooling process.

Images